Method and system enabling confirmation of material data associated with input materials entering production

Abstract

The present disclosure relates to sustainable industrialization, in particular to monitoring chemical and physical properties of input materials in production, such as chemical manufacturing. The present disclosure encompasses methods, devices, and computer elements for validating material data, adjusting material properties, and monitoring critical substances in production. Additionally, the present disclosure relates to monitoring and controlling chemical production processes. The present disclosure includes materials linked to analytical certificates and optional digital credentials. These credentials can be used to track critical substances in production. The present disclosure also introduces a decentralized validation and composition adjustment service for verifying input material data and modifying material properties prior to production.

Description

Technical Field

[0001] This disclosure relates to the field of sustainable industrialization, specifically to monitoring the chemical and / or physical properties associated with input materials entering production (such as chemical production). This disclosure relates to methods, apparatus, and computer elements for verifying material data associated with materials to be used in the production of one or more output products. This disclosure further relates to methods, apparatus, and computer elements for adjusting at least one chemical and / or physical property of materials to be supplied to chemical production. This disclosure further relates to methods, apparatus, and computer elements for monitoring one or more substances critical to the production of output products from one or more input materials supplied to production. This disclosure further relates to methods, apparatus, and computer elements for monitoring and / or controlling the production of output products from one or more input materials through chemical production. This disclosure further relates to materials associated with analytical certificates and optionally associated digital credentials generated by the methods and apparatus disclosed herein. This disclosure further relates to the use of analytical certificate data and associated digital credentials generated according to the methods or apparatus disclosed herein for monitoring one or more substances critical to the production of output products from one or more input materials supplied to production. This disclosure further relates to a decentralized verification service configured to verify input material data associated with input materials to be used in the production of one or more output materials, according to the methods disclosed herein or by the apparatus or system disclosed herein. This disclosure further relates to a decentralized composition adjustment service configured to adjust at least one chemical and / or physical property of input materials to be supplied to chemical production, according to the methods disclosed herein or by the apparatus or system disclosed herein. Background Technology

[0002] Chemical production processes are complex processes performed in large-scale plants, requiring input materials to meet stringent specifications. To ensure these specifications are met, input materials are typically analyzed before being fed into the chemical production process. This is especially true for non-fossil input materials with different chemical and / or physical properties to avoid damaging the large-scale plant. This hinders the efficient use of input materials, such as non-fossil input materials, in chemical production processes. Summary of the Invention

[0003] On the one hand, a method for identifying material data associated with materials to be used in the production of one or more output products is disclosed, particularly a computer-implemented method, which includes:

[0004] • Provide the material data, which includes at least one numerical identifier associated with the material, property data associated with the material, and entity data associated with the entity that generated the property data.

[0005] • Provides target property data for each material or material type, as well as target entity data associated with at least one predefined entity that generates property data related to the material.

[0006] • At least a portion of the characteristic data is identified by matching the provided characteristic data with the provided target characteristic data, and at least a portion of the entity data is identified by matching the provided entity data with the provided target entity data.

[0007] • Based on the confirmed characteristic data and confirmed entity data, generate a digital asset including at least a portion of the digital identifier and the confirmed characteristic data, and / or generate at least one digital certificate proving the conformity of at least a portion of the provided material data and / or at least a portion of the digital asset with the target characteristic data and the target entity data.

[0008] • Provide the generated digital assets and / or digital credentials.

[0009] On the other hand, an apparatus for confirming material data associated with materials to be used in the production of one or more output products is disclosed, the apparatus comprising:

[0010] • A material data providing interface configured to provide material data, which includes at least one numerical identifier associated with the material, property data associated with the material, and entity data associated with the entity that generated the property data.

[0011] • Target property data providing interface, which is configured to provide target property data for each material or material type, and target entity data associated with at least one predefined entity that generates material-related property data.

[0012] • A confirmation interface configured to confirm at least a portion of the characteristic data by matching the provided characteristic data with the provided target characteristic data, and to confirm at least a portion of the entity data by matching the provided entity data with the provided target entity data.

[0013] • A generator configured to generate a digital asset comprising at least a portion of the digital identifier and the confirmed characteristic data based on confirmed characteristic data and confirmed entity data, and / or configured to generate at least one digital certificate proving conformity between at least a portion of the provided material data and / or at least a portion of the digital asset and the target characteristic data and the target entity data.

[0014] • Provide an interface that is configured to provide the generated digital asset and / or the digital certificate.

[0015] On the other hand, a method for adjusting characteristic data associated with materials to be supplied to chemical production is disclosed, particularly a computer-implemented method, which includes the following steps:

[0016] • Provide numerical identifiers associated with different batches of this material.

[0017] • Collect characteristic data associated with different batches of this material based on the provided numerical identifiers.

[0018] • Provides target characteristic data for each industrial process or operation.

[0019] • Based on the collected characteristic data and the target characteristic data, determine the adjustment data used to adjust the provided characteristic data to at least a portion of the provided target characteristic data.

[0020] • Provide the determined adjustment data to adjust the material's property data.

[0021] On the other hand, an apparatus for adjusting characteristic data associated with materials to be supplied to chemical production is disclosed, the apparatus comprising:

[0022] • An identifier providing interface, configured to provide numerical identifiers associated with different batches of the material.

[0023] • A data collection interface configured to collect characteristic data associated with different batches of the material based on provided numerical identifiers.

[0024] • Target characteristic data providing interface, which is configured to provide target characteristic data for each industrial process or operation.

[0025] • An adjustment data generator is configured to determine adjustment data based on the collected characteristic data and the target characteristic data, for adjusting the provided characteristic data to at least a portion of the provided target characteristic data.

[0026] • Adjust the data provision interface, which is configured to provide determined adjustment data for adjusting the material's property data.

[0027] On the other hand, a method for monitoring one or more substances critical to the production of output products from one or more input materials provided for production is disclosed, particularly a computer-implemented method, which includes the following steps:

[0028] • Collect data related to the production of the input material, wherein the data related to the production of the input material includes digital assets associated with the input material and, optionally, digital credentials associated with the input material, generated by the methods or apparatus disclosed herein, wherein the digital assets and, optionally, the digital credentials are related to a substance critical to the production of an output product from at least one of the input materials;

[0029] • Provide one or more distributed identifiers associated with the input material;

[0030] • Generate access data associated with the digital asset and, optionally, the digital credential;

[0031] • Generate an access element that includes one or more distributed identifiers and the access data, or update an existing access element with the generated access data;

[0032] • Provide the access element to a decentralized network to access the digital asset and, optionally, the digital credential under the control of the data-providing network nodes associated with the digital asset and, optionally, the digital credential.

[0033] On the other hand, an apparatus for monitoring one or more substances critical to the production of output products from one or more input materials supplied to production is disclosed, the apparatus comprising:

[0034] • A collection interface configured to collect data related to the production of the input material, wherein the data related to the production of the input material includes digital assets associated with the input material and optionally digital credentials associated with the input material, generated by the methods or apparatus disclosed herein, wherein the digital assets and optionally the digital credentials are associated with substances critical to the production of an output product from at least one of the input materials;

[0035] • An identifier providing interface configured to provide one or more distributed identifiers associated with the input material;

[0036] • Access data generation interface, which is configured to generate access data related to the digital asset and optionally the digital credential;

[0037] • An access element generator configured to generate access elements including the one or more distributed identifiers and the access data, or an access element updater configured to update existing access elements with the generated access data;

[0038] • An access element provides an interface configured to provide the access element to a decentralized network for accessing the digital asset and, optionally, the digital credentials, under the control of a data provision network node associated with the digital asset and, optionally, the digital credentials.

[0039] On the other hand, a method for monitoring and / or controlling the production of output products from one or more input materials is disclosed, the method comprising the following steps:

[0040] • Provide one or more input materials,

[0041] • Input material data is collected based on at least one digital identifier associated with the provided input material, including digital assets associated with the input material and optionally digital credentials associated with the input material, generated as per the methods or apparatus disclosed herein.

[0042] • Use a rule-based engine that includes target digital voucher data for each type of input material or input material to validate the collected input material data.

[0043] • Based on the confirmed input material data, generate monitoring and / or control data for the production of one or more output products.

[0044] On the other hand, an apparatus for monitoring and / or controlling the production of output products from one or more input materials is disclosed, the apparatus comprising:

[0045] • An input material provider configured to provide one or more input materials.

[0046] • A data collection interface configured to collect input material data based on at least one digital identifier associated with the provided input material, the input material data including digital assets associated with the input material as generated according to the methods or apparatus disclosed herein, and optionally digital credentials associated with the input material.

[0047] • Includes a rule-based engine for target digital voucher data for each type of input material or input material, configured to validate the provided input material data.

[0048] • A monitoring and / or control data generator configured to generate monitoring and / or control data for the production of one or more output products based on the confirmed input material data.

[0049] On the other hand, a method for monitoring and / or controlling at least one operation to be performed on materials supplied to production is disclosed, the method comprising the following steps:

[0050] • Provide one or more of these materials,

[0051] • Collect material data based on at least one decentralized identifier associated with the material, the material data including digital assets associated with the material and generated as disclosed herein by methods or apparatus;

[0052] • Provides candidate operation data and target property data for each material or material type.

[0053] • Based on the collected digital assets, the candidate operation data, and the target characteristic data, determine at least one target operation to be performed on the material.

[0054] • Based on the identified target operations, generate monitoring and / or control data for performing the identified target operations on the material.

[0055] • Provide the generated monitoring and / or control data for monitoring and / or controlling the determined target operations performed on the material.

[0056] • Optionally, the processed material produced by performing at least one target operation on the material is provided to the production process for use in the production of one or more chemical output products.

[0057] On the other hand, an apparatus for monitoring and / or controlling at least one operation to be performed on materials supplied to production is disclosed, the apparatus comprising:

[0058] • A material provider configured to provide one or more materials.

[0059] • A data collection interface configured to collect material data based on at least one decentralized identifier associated with the material, the material data including digital assets associated with the material and generated as such according to the methods or apparatus disclosed herein;

[0060] • A data provision interface configured to provide candidate operational data and target property data for each material or material type.

[0061] • Target operation determination unit, configured to determine at least one target operation to be performed on the material based on the collected digital assets, the candidate operation data, and the target characteristic data.

[0062] • A monitoring and / or control data generator configured to generate monitoring and / or control data for performing the determined target operation on the material, based on the determined target operation.

[0063] • A data provision interface configured to provide generated monitoring and / or control data for monitoring and / or controlling defined target operations performed on the material.

[0064] • Optionally, a refining material provider is configured to supply the production with processed material produced by performing at least one target operation on the material, for use in the production of one or more chemical output products.

[0065] On the other hand, material associated with digital assets and digital credentials is disclosed, wherein the digital assets and digital credentials are generated according to the methods disclosed herein or by the apparatus disclosed herein.

[0066] On the other hand, it discloses the use of digital assets and, optionally, digital credentials generated according to the methods or apparatus disclosed herein for monitoring one or more substances critical to the production of output products from one or more input materials provided for production.

[0067] On the other hand, a decentralized verification service is disclosed, which is configured to verify material data associated with materials to be used in the production of one or more output materials, according to the methods or apparatus disclosed herein.

[0068] On the other hand, a decentralized adjustment service is disclosed, which is configured to adjust characteristic data associated with input materials to be supplied to chemical production according to the methods disclosed herein or by the apparatus disclosed herein.

[0069] In another aspect, this disclosure relates to a computer element having instructions that, when executed on one or more computing nodes, is configured to perform the steps of the methods disclosed herein or is configured to be performed by the means disclosed herein.

[0070] Any disclosures, embodiments, and examples described herein relate to the methods, apparatus, uses, materials, distributed verification services, distributed adjustment services, and computer elements listed above and below. Advantageously, the benefits provided by any embodiment and example also apply to all other embodiments and examples. Example

[0071] The following examples will outline embodiments of this disclosure. It should be understood that this disclosure is not limited to the embodiments and / or examples described.

[0072] Production, particularly chemical production, faces dynamic changes regarding the properties of the materials fed into it. Monitoring these chemical and / or physical properties is crucial to reliably enabling the use of non-fossil input materials with varying chemical and / or physical characteristics, and is essential to avoiding negative impacts on production processes performed within the production facility, such as steam cracking in chemical production.

[0073] To reliably monitor the chemical and / or physical properties of materials supplied for such production, characteristic data associated with the material (material characteristic data) can be verified, and digital assets and / or digital credentials including at least a portion of the verified characteristic data can be generated and linked to the material via a digital material identifier upon successful verification. Digital assets can be considered digital certificates of analysis (also referred to as CoA below). By verifying the characteristic data associated with the material, it can be ensured that the actual characteristic data associated with the material conforms to target characteristic data defined by the entity operating the production for the material or material type (e.g., the actual characteristic data meets specifications provided by the entity using the material to produce the output product), thereby avoiding additional analysis of the material prior to the production of the output product to ensure conformity to these specifications. Digital credentials can prove the conformity of at least a portion of the provided material data and / or at least a portion of the digital assets to the target characteristic data and target entity data, and can therefore be used by the material supplier to prove that the characteristic data included in the CoA meets specifications, such as technical specifications, provided by the entity using the material. This authentication increases the credibility and reliability of the characteristic data included in the CoA and allows the entity using the material to operate production based on this characteristic data without having to perform additional analysis prior to using the material. This can promote the use of sustainable feedstocks, which have different compositions due to the varying composition of waste materials used to generate sustainable feedstocks (such as recycled materials, bio-based materials, and renewable materials), in chemical operations that require feedstocks to meet given specifications. Improved use of sustainable feedstocks can mitigate the environmental impact of the chemical products produced.

[0074] By generating digital assets and / or digital credentials that include at least a portion of the confirmed characteristic data upon verification of the characteristic data, and providing such digital assets and digital credentials linked to the material via a digital material identifier, these digital assets and digital credentials can be presented to downstream participants as the material enters their production process. This serves to demonstrate the conformity of the material characteristic data associated with the provided material with the target characteristic data defined by the downstream participant operating the production for the material or material type. The recipient of the material can access the digital assets and digital credentials via a decentralized network using access elements stored in a decentralized registry and associated with the digital assets and digital credentials. Decentralized provision of digital assets and digital credentials via access elements allows them to be stored in dedicated storage devices associated with or under the control of the data owner of the digital assets and the holder of the digital credentials (e.g., the material producer), with access to such stored digital assets and digital credentials controlled by the data owner. This ensures the controlled and secure transfer of digital assets and digital credentials and avoids storing them in storage locations not associated with or under the control of the data owner and holder.

[0075] By verifying characteristic data, adjustment data can be generated to allow modification or adjustment of the characteristic data of the produced material when the characteristic data associated with a given batch of material cannot be verified (e.g., at least a portion of the characteristic data does not conform to the target characteristic data defined by the entity producing the material or material type). The adjustment data allows for the adjustment of the produced material that does not meet the target characteristic data, so that the adjusted characteristic data associated with the resulting adjusted material meets such target characteristic data. This avoids the generation of waste batches of material that cannot be processed and must be disposed of. Such batch mixing allows for a reduction in the environmental impact associated with the production and use of this material. Furthermore, the generation of adjustment data allows for the use of materials with fluctuating compositions as input materials for chemical production with stringent material specifications. Therefore, recycled materials with fluctuating compositions can also be reliably used as input materials for chemical production, allowing for the production of chemical products with reduced environmental impact. This enables chemical production to use more sustainable feedstocks despite stringent input material specifications.

[0076] By comparing digital credentials associated with input materials and demonstrating conformity with target characteristic data and target entity data defined by downstream participants in the operation of production for such materials or material types with target digital credential data for each input material or input material type, the material feed to production can be reliably monitored and / or controlled based on such digital credentials. This ensures that the input materials to be fed into production meet the requirements of the facilities used in production in terms of the characteristic data of the production inputs used.

[0077] By identifying target operations to be performed on materials that do not meet target digital voucher data and / or target characteristic data, such materials can be refined to allow their use in chemical production to produce one or more chemical products. This can allow for improvements in the environmental impact associated with the produced chemical products and enables the use of sustainable feedstock materials with fluctuating material compositions as input materials in chemical production. By identifying target operations to be performed on materials that do not meet target digital voucher data and / or target characteristic data, chemical production can be operated more efficiently by determining appropriate operations to be performed on the materials, thereby allowing for more efficient use of materials entering chemical production based on associated characteristic data.

[0078] Various units, entities, nodes, or other computing components can be described as being "configured to" perform one or more tasks. "Configured to" should be interpreted as meaning "having a circuit system that performs one or more tasks during operation." Units, circuits, entities, nodes, or other computing components can be configured to perform tasks even when the unit / circuit / component is not operational. Units, circuits, entities, nodes, or other computing components forming the structure corresponding to "configured to" may include hardware circuitry and / or memory storing executable program instructions to perform the operation. For convenience in the description, units, circuits, entities, nodes, or other computing components can be described as performing one or more tasks. This description should be interpreted as including the phrase "configured to."

[0079] Generally, the methods, apparatuses, systems, computer elements, nodes, or other computing components described herein may include memory, software components, and hardware components. Memory may include volatile memory (such as static or dynamic random access memory) and / or non-volatile memory (such as optical or magnetic disk storage devices, flash memory, programmable read-only memory, etc.). Hardware components may include any combination of the following: combinational logic circuit systems, clock storage devices (such as flip-flops, registers, latches, etc.), finite state machines, memory (such as static random access memory or embedded dynamic random access memory), custom-designed circuit systems, programmable logic arrays, etc.

[0080] One or more materials can be used to produce one or more output products. Materials can be produced by upstream participants in the product ecosystem and can be provided to downstream participants operating the production (e.g., material users or processors) to produce one or more output products. The product ecosystem can include different phases, including manufacturing, use, and reuse. In these phases, one or more ecosystem participants can be responsible for the manufacturing, use, or reuse of the product. For example, the manufacturing phase can include raw material manufacturers, chemical product manufacturers, and / or final product manufacturers. Furthermore, for example, the use phase can include product users, product maintainers, and / or product distributors. Further, for example, the reuse phase can include collectors, sorters, dismantlers, recyclers, restorers, and / or refurbishers. Materials can be used as inputs or raw materials for production (e.g., chemical production). Materials provided to production as inputs or raw materials can be referred to as input materials or raw materials. Materials can be raw materials, recycled materials, intermediate chemical products, chemical products, parts or components or component assemblies, or end-of-life products. Materials can be natural, organic, and / or inorganic. Materials can refer to fossil and / or non-fossil materials. Fossil materials can include crude oil, natural gas, or coal. Non-fossil materials can include renewable materials, bio-based materials, and / or recycled materials. Recycled materials include pyrolysis oil.

[0081] Materials (e.g., input materials or raw materials to be used in production) can be associated with or linked to numerical identifiers. Numerical identifiers can include any numerical identifier uniquely associated with a physical entity of the material. Numerical identifiers can be material names, material IDs, lot numbers, LOT numbers, or combinations thereof. Numerical material identifiers can be associated with a single batch of material and / or a sample thereof. Numerical identifiers can be associated with multiple physical entities of the material. Numerical identifiers can be associated with continuous or semi-continuous material flows. Numerical identifiers can be associated with material flows, for example, within a specific time period or from a specific supplier. Numerical identifiers can be linked to or connected to material data, particularly at least one measured chemical and / or physical property of the material and / or at least one physical and / or chemical property of the material determined based on the measured data. In this way, material data can be provided for each material.

[0082] Identifier elements can be associated with or linked to materials. At least during material production, identifier elements can be associated with or linked to materials. Digital twins of materials can be accessed via distributed networks through identifier elements. Identifier elements can be uniquely associated with materials. Identifier elements can be uniquely associated with numeric identifiers. Identifier elements can encode numeric identifiers.

[0083] A digital identifier can be associated with one or more distributed identifiers that are uniquely associated with a material. A digital identifier can include one or more distributed identifiers that are uniquely associated with a material. A distributed identifier can represent a digital twin of a physical entity of the material. A distributed identifier can be a digital identifier for a distributed network or a digital identifier used in a distributed network. A distributed identifier can be a digital identifier provided to a distributed network and the participating nodes of the distributed network. Therefore, a distributed identifier can indicate a physical entity of a material in a distributed network, and participating nodes can be able to interpret the relationship between the distributed identifier and the physical entity of the material.

[0084] Decentralized identifiers can include any unique identifier that uniquely associates with the producer of the material and the material itself. A decentralized identifier can include one or more Universally Unique Identifiers (UUIDs) or one or more Digital Identifiers (DIDs). Decentralized identifiers can be issued by centralized or decentralized identity issuing authorities. Decentralized identifiers can include authentication information. Through the decentralized identifier and its unique association with the producer of the material and the material, the producer of the material can control access to the digital assets and associated digital credentials. This contrasts with centralized institutional schemes, where identifiers are provided by such a centralized institution, and access to the data is controlled by such a centralized institution. In this context, decentralized refers to the use of identifiers being controlled by the data owner. The data owner can refer to the owner of the digital assets and associated digital credentials. The data owner can correspond to or be associated with the entity that produces the material. Digital assets and associated digital credentials can be stored in a dedicated storage device associated with, accessible to, or controlled by the data owner. This contrasts with decentralized systems based on distributed ledger technology (DLT), where data stored in a distributed ledger is replicated across nodes in a distributed network, meaning the distributed ledger, as data storage, may not be under the control of the data owner storing the data in it.

[0085] Decentralized identifiers can include one or more identifiers used in a decentralized network and allowing data exchange via the decentralized network. Data exchange can include decentralized identifiers for discovering network nodes in the decentralized network, authenticating network nodes in the decentralized network, and / or authorizing data transmission via peer-to-peer communication between network nodes in the decentralized network. Decentralized identifiers can be associated with participants in a material chain (particularly a material cycle), including chemical product producers, intermediate chemical producers, intermediate part producers, component producers, component assembly producers, final product producers, used final product collectors, used final product sorters, used final product recyclers, and / or used final product recyclers. Chemical product producers, intermediate chemical producers, intermediate part producers, component producers, component assembly producers, and / or final product users can be considered final product users. Decentralized identifiers can be associated with material entities in a material chain (particularly a material cycle), including chemical products, intermediate chemical products, intermediate parts, components, component assemblies, and / or final products. Participants in a material chain can operate on behalf of other entities, such as providing materials and / or producing output products. Such an additional entity may not provide materials and / or produce output products. This additional entity may enable such participants to operate, for example, by transferring technology to them within the material supply chain.

[0086] Participants in a material chain or material cycle can connect via a decentralized network. A decentralized network can include one or more decentralized network nodes configured to execute data transactions. Decentralized network nodes can be associated with participants in the material chain (particularly the material cycle associated with the final product). Data transactions can be based on transaction protocols that include authentication and / or authorization mechanisms. Based on authentication and / or authorization mechanisms, a peer-to-peer network can be established between decentralized network nodes in the decentralized network. One or more authentication mechanisms can be associated with or linked to a decentralized identifier. One or more authentication mechanisms associated with a decentralized identifier can be provided to decentralized network nodes. One or more authentication mechanisms associated with a decentralized identifier can be accessed by decentralized network nodes. Decentralized configurations allow for more efficient use of computing resources and strengthen each data owner's control over the decentralized network.

[0087] Data provider network nodes can be configured to provide access to data stored in dedicated storage devices associated with the respective data provider network node. Data provider network nodes can be associated with participants in the materials production chain, such as material producers. Data provider network nodes can be associated with entities or services that perform material data verification. Data (such as material data, CoA data, and associated digital credentials) can be provided by data provider network nodes to a decentralized network, particularly for access by data consumer network nodes. Access to the data can be under the control of the data provider network node associated with the data. Data provider network nodes can be configured to authenticate and / or authorize data consumer network nodes to access the data.

[0088] Data consuming network nodes can be configured to request access to data stored in dedicated storage devices associated with data providing network nodes. Data consuming network nodes can be configured to determine the access element associated with a material, for example, by querying a distributed network (specifically, a distributed registry of stored access elements). Data consuming network nodes can be associated with consumers of materials (e.g., chemical producers who use materials (e.g., recycled materials) to produce chemical products). Data consuming network nodes can be associated with entities or services that verify material data. The generated data (e.g., material data, digital assets, and associated digital credentials) can be accessed by the data consuming network nodes upon authentication and / or authorization.

[0089] Output materials can be produced from one or more input materials. Output products can include intermediate chemical products, chemical products, parts or components, component assemblies, and final products. Production can be chemical production. Chemical production can produce one or more chemical intermediates or chemical products. Chemical production can chemically and / or physically transform one or more input materials into output products. The transformation can be carried out via chemical intermediates. Chemical production can be a chemical production network that chemically transforms input materials into chemical products (e.g., output products) leaving the chemical production network via chemical intermediates. A chemical production network can include a complex production network that produces multiple chemical products in multiple production chains or value chains. A production chain or value chain can include one or more processes configured to produce a chemical product or class of chemical products from one or more input materials. A chemical production network can include connected, interconnected, and / or disconnected production chains. The production chains included in a chemical production network can be defined by the physical system boundary of the chemical production network. The system boundary can be defined by the location or control of the production processes. The system boundary can be defined by a value chain with interleaved production processes leading to the formation of a final product (or end product), which can be controlled jointly or separately by multiple entities. A chemical production network may include waste collection and sorting steps, recycling steps (such as pyrolysis), cracking steps (such as steam cracking), production steps for producing chemical products or intermediates from the supplied input materials, separation steps for separating intermediates from a process step, and further processing steps for converting such outputs into chemical products leaving the system boundary of the chemical production network. A chemical production network can produce multiple intermediates from input materials and can produce one or more chemical products from intermediates. Input materials may enter the chemical production network at an inlet point. Input materials may be fed into the chemical production network at the start of the production process or at any intermediate stage of the production process (e.g., the start or any intermediate stage of a production chain producing output materials). Chemical products may leave the production network at an outlet point (or discharge point). Production may be discrete production. Discrete production can produce one or more discrete products from one or more input materials.

[0090] Material data can refer to any data characterizing a material to be used in the production of one or more output products. Material data may also be referred to as input material data below. Material data may include, but is not limited to, material name, material composition, material emission data, and / or material production data. Material data may include material property data. Material data may be signed by the entity that generated the property data using a private key or representation thereof associated with said entity. Property data may include chemical property data associated with the chemical properties of the material and / or physical property data associated with the physical properties of the material. Chemical properties can describe the variation of the chemical composition of a material under a given set of specific conditions. Chemical properties may include flammability, (eco)toxicity, acidity, reactivity, combustibility, concentration of components including pollutants, etc. Property data may be related to physical properties. Physical properties can be used to describe the physical characteristics of a material. Physical properties can be observed or measured without altering the nature of the material. Physical properties may include color, density, hardness, boiling point or boiling range, flash point, melting point, and / or pour point, etc. Chemical and / or physical properties may refer to any chemical and / or physical characteristics of a material that may be relevant and / or critical for subsequent downstream processing steps and / or further use of the material.

[0091] Characteristic data may include at least one measured chemical and / or physical property, and / or at least one chemical and / or physical property determined based on measurement data. Measurement data may specify quantitative characteristic data. Measurement data can be generated by analyzing the material. Measurement data for the material can be generated by analyzing a physical sample of the material. This may include collecting a sample from the material, processing the collected sample, and / or obtaining measurement data from the collected sample, and determining at least one chemical and / or physical property based on the obtained measurement data. The at least one measured physical and / or chemical property may be obtained by a sensor configured to measure the corresponding at least one physical and / or chemical property. The sensor may be included in a measuring device. The sensor may correspond to the measuring device. To analyze the physical sample, one or more analytical instruments, such as analytical devices, spectrometers, and / or calorimeters, may be used. Sensor data may be correlated with a digital identifier associated with the material. Chemical and / or physical characteristic data determined based on sensor data may be correlated with a digital identifier associated with the material.

[0092] Entity data associated with the entity that generates the material data may involve data indicating such an entity. For example, such data may include a digital identifier that uniquely identifies the entity. This data may further include certifications associated with the entity's certificates. This data may further include data associated with authorized personnel performing material analysis or approving chemical and / or physical property data. This data may further include a public key associated with a private key used to sign the material data, allowing verification of the signature, for example, during confirmation. Such an entity may correspond to an institution, company, association, government agency, or individual that analyzes material samples using one or more test methods. Test methods may correspond to standard test methods. Test methods may correspond to predefined test methods. Data regarding predefined test methods may be provided to the entity by the material producer. For example, the material producer may provide a physical sample of the material and data associated with the test method to be performed on such sample. The sample may be transported from the material producer to the entity that determines the material data. Certificates may certify that the entity performs sample analysis according to a defined set of rules (such as standards). Such certificates may be issued by a certification body to indicate that the entity and / or the operations performed by the entity (such as measurements) comply with the requirements of the certification system. This certificate serves as evidence that the entity and / or its services have been audited by an independent third-party certification body and have been found to comply with relevant standards and requirements. The certificate may include information such as the name and address of the certified entity, the scope of certification (e.g., which services are covered, such as measurement services), the name of the certification body, the date of issuance, and the expiration date. The certificate may be valid for a specific period and may require ongoing audits or surveillance to maintain. The certificate demonstrates a commitment to quality and compliance with industry standards. The certificate can indicate that the material data generated by this entity is honest and reliable.

[0093] Target characteristic data for each material or material type may relate to target chemical and / or physical properties (e.g., specifications) of the material and / or material type. Target characteristic data may be generated by downstream participants in the product ecosystem that process materials produced by material producers (e.g., associated upstream participants in the product ecosystem). Target characteristic data may be provided by entities that process the materials. Target characteristic data may be provided by entities that generate material data. Target characteristic data may be provided by entities that produce the materials. Target characteristic data for each material or material type may include characteristic data, such as chemical and / or physical characteristic data, that is critical to one or more subsequent processing steps performed on the material by one or more downstream participants in the product ecosystem. Chemical and / or physical characteristic data critical to subsequent processing steps may represent chemical and / or physical characteristic data that hinders at least one subsequent processing step and / or at least one facility performing the subsequent processing step and / or the quality of the output product produced by at least one subsequent processing step. Chemical and / or physical characteristic data critical to subsequent processing steps may relate to the subsequent processing and / or use of the output product obtained from such processing steps. Key chemical and / or physical property data associated with materials (such as recycled materials, particularly pyrolysis oils) may relate to further processing of such materials, for example, in steam cracking units and / or syngas facilities associated with downstream participants. Key chemical and / or physical property data associated with pyrolysis oils may include halogen content data (such as chlorine content data), data on the content of contaminants (such as Hg, Fe, Si, Zn, V, N), boiling range data, distillation range data, ash content data, flash point data, pour point data, autoignition temperature data, data related to the number of phases present in the pyrolysis oil, density data, calorific value data, and / or data specifying the corrosivity of the pyrolysis oil.

[0094] Material type can refer to the type or category of the material, its intended use, and / or the raw materials used to produce it. Material type or category can refer to the material's name and / or a material identifier assigned according to a predefined set of rules. The material's name can refer to its production process. The material identifier can refer to CAS number, EC number, REACH registration number, etc. The raw materials used to produce the material may affect the chemical and / or physical properties of the resulting material (e.g., its chemical composition). Therefore, different specifications may be required to ensure efficient processing of materials produced from different raw materials. Raw materials used to produce pyrolysis oil can include, for example, vegetable oils from food production, oils from specific locations, mixed plastic waste, and / or tires.

[0095] The target entity data can define one or more entities and / or one or more valid certificates required by an entity providing material data. Entities can be defined using a uniquely identifying numerical identifier. For example, the entity's name, address, entity ID, or a combination thereof can be used to define an entity. This allows for the definition of trusted entities, such as entities known to provide reliable and trustworthy material data via the predefined entity data. Required certificates can be defined using a uniquely identifying numerical identifier. For example, the predefined entity data may include the certificate's name, certifying company and / or body, certificate validity, or a combination thereof.

[0096] Digital assets may include a digital identifier and at least a portion of confirmed characteristic data associated with a material. Digital assets may include a digital identifier, at least a portion of characteristic data, and data indicating at least unconfirmed characteristic data. Digital assets may further include entity data associated with the entity providing the material data. The digital identifier may be associated with or related to an identifier element physically attached to the material. This allows linking the digital asset to the physical entity of the material. Digital assets including confirmed characteristic data may be associated with digital credentials, for example, via the digital identifier; for example, the digital identifier included in the digital asset may be included in the digital credential, and vice versa. Digital assets may further include data regarding test methods used to measure and / or determine chemical and / or physical properties. Digital assets may further include data indicating the producer of the material, such as name, address, and / or producer ID. Digital asset data may further include at least a portion of the entity data provided. Digital assets may be signed, for example, by a private key associated with the entity that generated the digital asset and / or material data. The private key may be generated by an entity or service performing the methods of the present invention. Digital assets may include a public key associated with the private key to allow verification of the signature. Digital assets can indicate the quality of materials and can be used to prove that materials meet target specifications.

[0097] A digital certificate can refer to a dataset comprising one or more claims (e.g., assertions) made by the issuer of the digital certificate regarding a subject. The subject can be the physical entity to which the claim relates, such as a batch of produced material. The subject can be characteristic data of the material to which the claim relates. The claim can relate to at least a portion of the entity data provided being valid. A digital certificate can include a claim that each characteristic data point is valid. A digital certificate can include a claim that each set of characteristic data points is valid. For example, a digital certificate can include a claim that each chemical characteristic data point is valid and a claim that each physical characteristic data point is valid. A digital certificate can include a claim that the characteristic data included in the CoA conforms to target characteristic data, and can list the characteristic data that conforms to the target characteristic data. A digital certificate can further include a claim that the entity providing the material data conforms to a given specification (e.g., holds a given certification). The issuer can assert one or more claims about the subject, can generate a digital certificate, and can issue the generated certificate to a holder, such as a material producer. The issuer can be an entity, such as a legal entity. The issuer can be a device or network node, such as a network node in a distributed system. The dataset may include identifiers associated with digital credentials (e.g., credential identifiers), issuer data, issuance data, expiry data, and data about the credential subject. The dataset may further include certification data. Issuer data may include URIs, such as URLs, pointing to data associated with the issuer (e.g., issuer name, issuer ID, issuer address). Data about the credential subject may include a digital identifier of the material associated with verified material data and one or more claims about the subject. Claims may include verified properties, such as verified chemical and / or physical properties of the material. Claims may include verified entity data, such as verified certifications associated with the entity that generated the material data.

[0098] Materials can be associated with access elements via a decentralized identifier associated with the material. Access elements can include access data and one or more decentralized identifiers associated with the material. Access data is associated with digital assets and associated digital credentials. Access data can include locators or pointers, such as URLs or URIs, to dedicated storage devices (e.g., dedicated storage addresses) that store digital assets and optionally associated digital credentials. The storage location can be associated with or under the control of the data owner of the digital assets and optionally associated digital credentials. Pointers or locators can point directly to dedicated storage devices. Pointers or locators can point to data-providing network nodes associated with dedicated storage devices. This improves data security because dedicated storage addresses are not published to other participants in the decentralized network, thus avoiding the risk of direct access to dedicated storage devices without access control via decentralized data-providing network nodes. Access data can include one or more digital links or endpoint addresses pointing to the digital assets and optionally associated digital credentials of the material. Access elements can include one or more authentication mechanisms associated with the decentralized identifier and access data. Access elements can involve one or more authorization mechanisms associated with the decentralized identifier and access data. One or more authorization mechanisms may include authorization rules for determining whether to grant access to digital assets and optionally associated digital credentials. One or more authorization mechanisms may be associated with digital assets and optionally associated digital credentials. One or more authorization mechanisms may define the decentralized data consuming nodes that are permitted to access digital assets and optionally associated digital credentials. This allows for filtering of data consuming nodes requesting access to such data based on the authorization mechanisms.

[0099] Access elements can be provided to a decentralized registry that stores the access elements. The decentralized registry can be associated with, or controlled by, a data provider network node. The decentralized registry can be associated with, or controlled by, the data owner of the data associated with the access elements stored in the registry. For example, the decentralized registry can be associated with, or controlled by, the data owner of digital assets and, optionally, digital credentials associated with access elements stored in the registry. This allows the data owner to control access to such a decentralized registry and retrieval of access elements stored therein. This contrasts with decentralized networks based on distributed ledger technology (DLT), in which the distributed ledger acting as the decentralized registry is stored across multiple nodes in the network, making the decentralized registry no longer controlled by the data owner of the access elements stored in that distributed ledger. Data provider network nodes can be associated with the data owners of digital assets and, optionally, associated digital credentials, which are linked to or associated with corresponding access elements stored in such a decentralized registry. This allows control over access to such a registry and access to the access elements stored in such a registry via the data provider network node. A distributed registry can be associated with participants in a distributed network; for example, at least some of the participants can operate one or more distributed registries. A distributed registry can be part of a distributed network but may not be associated with a specific participant in the distributed network; for example, it can be considered an infrastructure node of the distributed network. Queries can be sent to the distributed registry via data consuming network nodes to determine whether the distributed registry stores access elements that match the queried data. Query data may include numeric identifiers associated with materials and / or distributed identifiers associated with materials. Queries can be sent to data providing network nodes associated with the registry to ensure that only authorized data consuming network nodes can query the data contained in the distributed registry.

[0100] A rule-based engine can be used to validate at least a portion of the collected input material data. The rule-based engine can be software or a software component that applies one or more rules to at least a portion of the collected input material data. The rule-based engine used to validate at least a portion of the collected input material data can include target digital voucher data for each type of input material. Target digital voucher data can be associated with individual data points to be included in the collected input material data, multiple data points to be included in the collected input material data, the entire dataset to be included in the collected input material data, and / or the type of digital voucher to be included in the collected input material data. Target digital voucher data associated with individual data points can include one or more rules defining mandatory individual data points to be presented with the collected input material data. Individual data points can correspond to attributes defining the type of digital voucher, attributes defining the issuer of the digital voucher, attributes defining the validity of the digital voucher, attributes defining the input material or input material type, and / or attributes defining claims or assertions included in the digital voucher. Target digital voucher data associated with multiple data points can include one or more rules defining allowed combinations of data points. The target digital voucher data associated with the entire input material data may include one or more rules defining the data to be included in the collected input material data.

[0101] A batch of material can refer to a defined volume or quantity of material. This defined volume or quantity can also be expressed as LOT. A defined volume or quantity of material can be packaged in a packaging unit or storage device (such as a can, container, bag, bottle, etc.). The packaging unit or storage device may include a defined volume. The defined volume or quantity of material can be obtained from a single production run. Alternatively or concurrently, the defined volume or quantity may correspond to material produced under identical conditions and within a specified timeframe of continuous production.

[0102] In this embodiment, the material is recycled material. Recycled material can be obtained by performing at least one recycling process on the waste product or its components. The recycled material can be pyrolysis oil. Pyrolysis oil can be obtained by pyrolyzing waste products or their components (such as mixed plastic waste or tires).

[0103] In embodiments, characteristic data includes at least one measured chemical and / or physical property of the material and / or at least one physical and / or chemical property of the material determined based on the measured data. The measured and / or determined chemical and / or physical properties may include halogen content (e.g., chlorine content), contaminant content (such as Hg, Fe, Si, Zn, V, and / or N content), boiling point, distillation range, ash content, flash point, pour point, autoignition temperature, density, calorific value, biogenicity, visual assessment of the material, corrosivity of the material, and / or data related to compatibility with packaging materials and / or storage devices. Packaging materials and / or storage devices may include containers, cans, bags, bottles, etc. Corresponding data may include single values ​​or ranges. Data related to the compatibility of the material with the packaging material may include a classification symbol distinguishing between compatible and incompatible materials. The classification symbol may be associated with the corresponding packaging material or combination thereof. The classification symbol may indicate that the corresponding packaging material or combination thereof is compatible or incompatible. This data can prevent contamination of the material when it is stored within the packaging material.

[0104] In another embodiment, the characteristic data includes analytical certificate data. Analytical certificate data may include at least one measured chemical and / or physical property of the material and / or at least one physical and / or chemical property of the material determined based on the measured data. The analytical certificate data may further include issuance data, issuer data (e.g., data associated with the entity issuing the CoA), and certification data associated with the issuer. The analytical certificate data may be generated by the entity producing the material and may be provided to an verification service along with entity data associated with the entity producing the material to verify the generated analytical certificate data.

[0105] In an embodiment, the portion of the characteristic data is validated if at least a portion of the characteristic data is included in the target physical characteristic data of the provided material. Validation may include matching the at least portion of the provided characteristic data with the target characteristic data. If at least a portion of the provided characteristic data (particularly the complete characteristic data) matches the target physical characteristic data, the provided characteristic data may be valid or validated. Validation may be performed for each characteristic data point included in the provided characteristic data. For example, each data point included in the provided characteristic data may be matched or compared with a corresponding data point included in the target characteristic data. Validation allows determination of whether the provided material-related characteristic data meets the target characteristic data, for example, whether it meets the specifications of the material as defined by the consumers of the material (e.g., downstream participants consuming materials produced by material producers (e.g., corresponding upstream participants)).

[0106] In an embodiment, the portion of the characteristic data is validated if at least a portion of it relates to the provided entity data. Validation may include associating at least a portion of the characteristic data with authentication data included in the entity data. Validation may include determining the reasonableness of the characteristic data relative to the entity data (such as authentication data included in the entity data). For example, the reasonableness of the presence of bio-based content data in the characteristic data can be determined by determining whether the entity data includes authentication data associated with the use of bio-based materials from which such bio-based content is generated. If such authentication data associated with the use of bio-based materials is included in the entity data, the bio-based content data can be validated.

[0107] In an embodiment, entity data is validated if at least a portion of the entity data is included in the target entity data. Validation may include matching at least a portion of the entity data included in the provided material data with the target entity data. If the provided entity data at least partially matches (partially, completely matches) the target entity data, the provided entity data may be valid or validated. Validation may be performed for each data point included in the provided entity data. For example, certificate data included in the provided entity data may be matched with target certificate data included in the target entity data. This ensures that the entity has been analyzed against a predefined set of rules (such as predefined standards) to obtain material-associated property data. Conformity to such a predefined set of rules during material analysis indicates that the property data obtained from such analysis is reliable and trustworthy.

[0108] In this embodiment, confirmation includes accepting at least a portion of the provided material data. Acceptance may include accepting that at least a portion of the provided material data is reliable and trustworthy.

[0109] In this embodiment, verification further includes comparing the provided material data with previously provided material data associated with the same material type. This allows for determining whether the provided material data appears reasonable and avoids the possibility of providing the same material data for different materials or providing material data for the same material twice. This ensures that analytical certificate data and associated credentials are not generated for different material batches based on the same material data, as these batches typically differ in their chemical and / or physical properties due to the characteristics of the production conditions and the production inputs used. Additionally, this avoids the repeated generation of analytical certificate data and associated digital credentials for the same material data. The previously provided material data may be stored in a data storage device. The previously provided material data may be associated with digital identifiers, material types, and / or entity data.

[0110] In this embodiment, confirmed characteristic data included in the generated digital asset is indicated by a classifier or by matching target characteristic data. The classifier can be a binary classifier that distinguishes confirmed characteristic data from unconfirmed characteristic data. Confirmed characteristic data can be associated with a classifier that indicates confirmed characteristic data. Confirmed characteristic data can be indicated by the classifier "Confirmed". Associating confirmed characteristic data with matching target characteristic data allows for comparison between the characteristic data and the corresponding target characteristic data to determine if the characteristic data matches the corresponding target characteristic data.

[0111] In this embodiment, a digital asset is generated based on the confirmed characteristic data and the rejection of at least a portion of the provided entity data, including the digital identifier and at least a portion of the confirmed characteristic data. If at least a portion of the provided entity data is rejected, a digital credential may not be generated. Such data may be rejected if at least a portion of the provided entity data does not match the target entity data. For example, if the provided entity data does not include certificate data defined in the target entity data, such data may be rejected. The lack of such certificate data may indicate that the characteristic data was obtained by analyzing material that does not conform to a required predefined set of rules (e.g., required standards). Therefore, the lack of such certificate data may indicate that the characteristic data was not obtained according to a defined or established method and may therefore not be considered trustworthy and reliable.

[0112] In an embodiment, if at least a portion of the provided characteristic data does not match the provided target characteristic data for each input material or input material type, the provided characteristic data is not confirmed.

[0113] In an embodiment, a digital asset is generated based on the unconfirmation of the provided characteristic data, comprising a digital identifier and at least a portion of the unconfirmed characteristic data. If at least a portion of the provided characteristic data is rejected, a digital asset may not be generated. The digital asset may further include confirmed characteristic data. Unconfirmed characteristic data may be indicated by a classifier. Similarly, confirmed characteristic data may be indicated by a classifier. The classifier may be a binary classifier that distinguishes between confirmed and unconfirmed data. Unconfirmed characteristic data can be indicated by associating such unconfirmed characteristic data with corresponding target characteristic data. This allows for comparison between the corresponding characteristic data and the target characteristic data, and thus allows for determination of whether characteristic data can be considered "confirmed" or "unconfirmed." The generation of this digital asset may trigger an adjustment to the composition of the material, for example, by mixing the material with other batches of the same material, such that the characteristic data of the adjusted composition (e.g., the adjusted characteristic data) meets the target characteristic data.

[0114] In this embodiment, the digital credential includes or corresponds to one or more verifiable credentials. A verifiable credential may refer to a tamper-proof credential with an author identity that can be cryptographically verified. For example, a verifiable credential may contain proof data. The proof data can be generated using a private key associated with the issuer. The proof data can be cryptographically verified using a public key associated with the private key.

[0115] In this embodiment, the digital credential includes a material identifier, data indicating that the characteristic data included in the associated digital CoA is confirmed characteristic data, and data indicating that the entity issuing the associated digital CoA meets predefined rules. The data indicating that the characteristic data included in the associated digital CoA is confirmed characteristic data may include an identifier of the target characteristic data, the name of the target characteristic data, the version of the target characteristic data, the confirmed characteristic data, and / or the hash value of such confirmed characteristic data and / or the hash value of the associated digital CoA. The data indicating that the entity issuing the associated digital CoA meets predefined rules may include an identifier associated with the entity, an identifier of the target entity data, the name of the target entity data, the version of the target entity data, and authentication data associated with an authentication held by the entity. In this embodiment, the generated digital assets and / or digital credentials are provided to a decentralized data consumption network node associated with the material producer. The digital assets and digital credentials may be provided by a decentralized data provision network node associated with the device or service that generates the digital assets and / or digital credentials. Similarly, the generated digital assets may be provided to a decentralized data consumption network node associated with the material producer. The digital assets may be provided by a decentralized data provision network node associated with the device or service that generates the digital assets. In an embodiment of a method for adjusting characteristic data associated with materials to be supplied to chemical production, numerical identifiers are provided that are associated with different available batches of the same material. An available batch may be a batch of material that has not yet been supplied to a consumer. The numerical identifiers and associated availability data may be stored in a data storage device, and such data storage device may be queried to provide the numerical identifiers associated with the available batches. The availability data may indicate whether the material has been sold and / or ordered by the material producer's customers.

[0116] In embodiments of a method for adjusting characteristic data associated with materials to be supplied to chemical production, target characteristic data specifies constraints or boundaries of one or more characteristics of the material to be used by an industrial process. Target characteristic data may be associated with one or more characteristics of the material for at least one industrial operation. Target characteristic data may be predefined for each industrial process. Target characteristic data may specify one or more characteristics of the material for at least one industrial operation type. An industrial operation may involve one or more materials designated as suitable for the industrial operation. An industrial operation may be characterized by an industrial operation type. An industrial operation type may involve chemical, mechanical, and / or thermal treatment operations. An industrial operation may involve an inlet process of chemical production, such as steam cracking, refining, syngas production, or partial oxidation. An industrial operation may involve a recycling process. An industrial operation may involve an inlet or outlet process of a recycling system, such as a mechanical recycling, chemical recycling, and / or thermal recycling system.

[0117] In an embodiment of a method for adjusting characteristic data associated with materials to be supplied to chemical production, the adjusted data includes machine-readable instructions for monitoring and / or controlling the preparation of the adjusted material associated with the adjusted characteristic data, wherein the adjusted material is prepared based on the adjusted data. The adjusted data may specify material batches to be mixed and supplied to at least one industrial operation. The adjusted data may relate to instructions for preparing mixtures. The preparation of the adjusted material may include mixing at least two different material batches specified in the adjusted data.

[0118] In embodiments of a method for adjusting characteristic data associated with materials to be supplied to chemical production, adjusted data is generated by determining a weighting for each material batch based on characteristic data for each material batch and target characteristic data. Generating adjusted data may include determining a weighting for each material batch based on characteristic data for each material batch. Generating adjusted data may also include determining a weighting for each material batch based on target characteristic data from multiple industrial operations, wherein the adjusted data is provided for each industrial operation. The weighted sum of at least a portion of the characteristic data points for each material batch may be less than or equal to at least a portion of the characteristic data points included in the target characteristic data for at least one industrial operation. Adjusted data may be provided for multiple industrial processes, wherein the adjusted data is provided for each industrial process. The weighting may define a mixing ratio. This allows for adjusting materials associated with characteristic data by mixing materials whose characteristic data is out of specification (e.g., unconfirmed) with additional material batches associated with different characteristic data (such as confirmed characteristic data). Since different batches of material may be associated with different characteristic data, the characteristic data of a particular batch can be adjusted by mixing it with one or more other batches of the same material that are associated with different characteristic data (such as confirmed characteristic data).

[0119] In embodiments of a method for monitoring one or more substances critical to the output product from materials supplied for production, digital assets and optionally associated digital credentials are accessed by one or more data consumption network nodes associated with consumers of the materials. Consumers of the materials may use the materials as input materials for production operated by the consumers. Digital assets and optionally associated digital credentials may be accessed via access elements associated with the digital assets and optionally digital credentials. For example, an identifier element physically attached to the material (e.g., input material) may be associated with a digital identifier associated with the material. The digital identifier associated with the material can be determined based on the identifier element and can be used to collect access elements associated with the material via a distributed network. Access elements may include digital identifiers, thus allowing queries to the distributed network based on the determined digital identifier. Access data contained in the collected access elements can be used to access digital assets and optionally associated digital credentials linked to the access elements. Digital assets and optionally associated digital credentials can be requested from distributed data supply network nodes associated with dedicated storage devices storing the digital assets and optionally associated digital credentials via distributed data consumption network nodes.

[0120] In embodiments of a method for monitoring one or more substances critical to the production of output products from materials supplied for production, the access element involves an authorization mechanism that grants access to digital assets and optionally associated digital credentials based on decentralized participant identifiers. Participants in a decentralized network can be associated with decentralized participant identifiers. Each participant in a decentralized network can be associated with one or more decentralized participant identifiers. Decentralized participant identifiers can include any identifier uniquely associated with a participant in the decentralized network and / or with a production site of the participant in the decentralized network. Decentralized participant identifiers can include letters and / or numbers. Decentralized participant identifiers can include one or more Universally Unique Identifiers (UUIDs) and / or one or more Distributed Identifiers (DIDs). Decentralized participant identifiers can be associated with or may include verifiable claims or credentials. Verifiable claims can be issued by a centralized or decentralized identity issuing authority that makes one or more claims to a subject, such as a consumer entity being a trusted participant in the decentralized network. Verifiable credentials can be presented by distributed data consuming network nodes and can be used by distributed data providing network nodes to verify that the distributed participants associated with the distributed data consuming network nodes are trusted entities within the distributed network before providing access to the digital twin, thereby ensuring that the requested data can be exchanged in a secure and controlled manner within the distributed network.

[0121] In embodiments of a method for monitoring and / or controlling the production of an output product from one or more input materials through chemical production, if collected input material data is rejected, the input material may not be provided to the chemical production process. Rejection of collected input material data may include unverification of the collected input material data. Input material data may be rejected if at least a portion of the collected input material data is not verified. Input material data may also be rejected if it does not include at least a portion of the target digital voucher data for each input material or input material type. For example, if the collected input material data does not contain one or more digital voucher types defined by the target digital voucher data, such collected input material data may be rejected. This ensures that only input material data conforming to a given specification (e.g., input material data associated with a target digital voucher) is verified, thereby ensuring that the input materials entering production meet the specifications required for the production steps performed within production. This avoids negative impacts on production due to insufficient quality (e.g., the characteristic data of the input material does not match the required specifications (e.g., target characteristic data) of the input material to be processed by production).

[0122] In embodiments of a method for monitoring and / or controlling the production of an output product from one or more input materials through chemical production, the input material data may include a digital credential representation comprising one or more digital credentials associated with the material and / or the material supplier. The representation may be verifiable. A verifiable representation may refer to a tamper-proof representation encoded in a manner that allows trust in the authorship of the data after a cryptographic verification process. The digital credential representation may be generated by selecting one or more digital credentials associated with the material and generating the digital credential representation based on the selected digital credentials. The selected digital credentials may include digital credentials associated with the material and generated by the methods disclosed herein (e.g., demonstrating conformity of at least a portion of the provided material data and / or at least a portion of the digital assets with target characteristic data and target entity data) and / or digital credentials associated with the material producer and demonstrating at least partial conformity to a predefined set of rules not defined by the material consumer. This predefined set of rules may be defined by governments, standards organizations, certification bodies, etc. This predefined set of rules may include regulations that an entity requesting certification under regulations needs to meet. For example, digital credentials that prove at least partial compliance with a predefined set of rules may include digital credentials that prove at least partial compliance with ISCC or ISCC+ standards, Forest Stewardship Council (FSC) standards, Forest Certification and Accreditation Scheme (PEFC) standards, Global Organic Textile Standards (GOTS), Sustainable Forestry Initiative (SFI) standards, and / or Sustainable Palm Oil Roundtable (RSPO) standards.

[0123] In embodiments of a method for monitoring and / or controlling the production of an output product from one or more input materials through chemical production, a rule-based engine operates on individual data points present in at least a portion of a digital certificate included in collected input material data, multiple data points present in at least a portion of a digital certificate included in collected input material data, and / or the entire digital certificate included in collected input material data. The rule-based engine can be configured to match digital certificate data included in collected digital certificates with target digital certificate data associated with an input material or input material type. Target digital certificate data may include rules for individual data points, combinations of data points, and / or the entire data included in the digital certificate. Target digital certificate data may be associated with a given input material or a given input material type. The rule-based engine can be configured to determine target digital certificate data that matches the input material or input material type associated with the collected input material data. For example, the rule-based engine can be configured to parse the collected digital certificate to determine attributes included in the digital certificate and associated with or related to an input material or input material type. Based on this attribute, the corresponding target digital voucher data can be determined, for example, by matching this attribute with the attributes included in the target digital voucher data.

[0124] Rule-based engines can operate on individual data points, combinations of data points, and / or the entire set of digital credentials within a digital credential, against target digital credential data, as described above. For example, a rule-based engine can apply target digital credential data to individual data points, multiple data points, and / or the entire dataset to determine whether a digital credential includes mandatory data points, mandatory combinations of data points, and / or mandatory data content. If the rule-based engine determines that an individual data point, multiple data points, and / or the entire dataset matches the corresponding target digital credential data, then the digital credential can be considered validated.

[0125] In embodiments of a method for monitoring and / or controlling at least one operation to be performed on materials supplied to a chemical production facility, the operation includes mixing different batches of material, removing at least one chemical compound present in the material, reducing the amount of at least one chemical compound present in the material, incinerating the material, or rejecting the material (e.g., not supplying the material to any production process performed within the chemical production facility). The chemical compound may be critical to one or more subsequent operations performed within the chemical production facility. For example, halogens and / or contaminants contained in the material may be critical to one or more subsequent operations. Different refining operations can be combined to ensure that predefined chemical and / or physical properties are met. Mixing operations, removal of chemical compounds, and reduction of chemical compounds can be referred to as refining operations. Refining operations can allow for the adjustment of material property data such that the property data associated with the refined material meets target property data. This avoids negative impacts on operations performed within the chemical production facility and the disposal of such material as waste. Additionally, this allows for the use of materials with fluctuating material compositions (e.g., recycled materials, renewable materials, and / or bio-based materials (e.g., sustainable feedstocks)) as feedstocks for chemical production, thereby allowing for a reduction in the environmental impact of chemical products produced from such feedstocks. Therefore, this can help reduce the amount of fossil feedstock used in chemical production and increase the amount of sustainable feedstock without negatively impacting operations and the quality of the resulting chemical products.

[0126] In embodiments of a method for monitoring and / or controlling at least one operation to be performed on materials supplied to a chemical production process, candidate operation data may include an operation identifier for each candidate operation, a threshold for characteristic data for each candidate operation, a material identifier or material type identifier for each candidate operation, and / or adjustment data for each characteristic data and each candidate operation. A candidate operation may refer to an operation that can be performed on materials before their use in a production process within the chemical production process. The threshold may be associated with an upper and / or lower limit included in the characteristic data. The threshold may be given for at least a portion of the characteristic data points included in the characteristic data. The threshold may be based on an upper or lower limit of the chemical and / or physical properties of the material that can be processed within the refining operation. The adjustment data may be associated with the degree of adjustment of the characteristic data achieved through the corresponding refining operation. The adjustment data may be given as a relative value. The adjustment data may be given for at least a portion of the characteristic data points included in the characteristic data.

[0127] In an embodiment of a method for monitoring and / or controlling at least one operation to be performed on materials supplied for chemical production, determining the at least one target operation to be performed on the material includes...

[0128] - Identify unconfirmed characteristic data included in the collected digital assets.

[0129] - Determine the initial target operation based on unconfirmed characteristic data and candidate operation data.

[0130] -Based on candidate operation data and unconfirmed characteristic data, determine the adjusted characteristic data generated by the identified initial target operation, and

[0131] - The target operation is determined by comparing the adjusted characteristic data with the target characteristic data.

[0132] Unconfirmed characteristic data can be represented within digital assets by a classifier indicating unconfirmation. Unconfirmed characteristic data can also be represented within digital assets by associated target characteristic data. Identifying unconfirmed characteristic data included in collected digital assets may include parsing the collected digital assets to identify the classifier indicating unconfirmation. Identifying unconfirmed characteristic data included in collected digital assets may include parsing the collected digital assets to identify characteristic data and associated target characteristic data, and matching the identified characteristic data with the target characteristic data. Unconfirmed characteristic data can be identified characteristic data that does not match the identified target characteristic data.

[0133] Initial target operations can be determined by matching unconfirmed feature data with candidate operation data. For example, unconfirmed feature data can be matched with thresholds for the feature data for each candidate operation included in the candidate operation data.

[0134] Adjusted characteristic data can be determined using the individual characteristic data and adjustment data included in the candidate operation data. Based on unconfirmed characteristic data, adjusted characteristic data can be determined by applying the adjustment data associated with the identified preliminary target operation to at least a portion of the unconfirmed characteristic data. Attached Figure Description

[0135] The disclosure will be further described below with reference to the accompanying drawings. In the drawings and the disclosure, the same reference numerals are intended to refer to the same or similar elements, components, and / or portions. The description of the drawings is provided for illustrative purposes and should not be considered limiting. Embodiments and examples are illustrative embodiments and examples to further summarize the concepts set forth herein. The drawings include schematic illustrations and should not be considered limiting. Other embodiments and examples falling within the scope of the concepts outlined herein are possible and may not be explicitly described herein.

[0136] Figure 1 An example embodiment of a circular material cycle is shown, comprising material participants connected via a distributed network having distributed network nodes associated with the material participants.

[0137] Figure 2A A first example system for identifying material data associated with a material to be used in the production of one or more output materials, according to one embodiment of this disclosure, is shown.

[0138] Figure 2B Another example system for identifying material data associated with a material to be used in the production of one or more output materials, according to one embodiment of this disclosure, is shown.

[0139] Figure 2C This disclosure illustrates yet another example system for identifying material data associated with a material to be used in the production of one or more output materials, according to one embodiment of the present disclosure.

[0140] Figure 3 A flowchart illustrating an example of a method for identifying material data associated with a material to be used in the production of one or more output materials, according to one embodiment of this disclosure.

[0141] Figure 4 It shows according to Figure 3 The method shown and / or by Figures 2A to 2C The illustration shows a schematic diagram of the digital assets generated by the system.

[0142] Figure 5A It shows that according to Figure 3 The method shown and / or by Figures 2A to 2C The diagram shows a schematic representation of the digital credentials generated by the system.

[0143] Figure 5B It shows that according to Figure 3 The method shown and / or by Figures 2A to 2C The image shows the basic JSON structure of the digital credentials generated by the system. Figure 5C It shows Figure 5A and Figure 5B The digital certificate shown in the image is a schematic illustration of the digital certificate presentation.

[0144] Figure 5B It shows Figure 5A and Figure 5B The digital certificate shown is presented in the basic JSON structure.

[0145] Figure 6A A first example system for adjusting characteristic data associated with materials to be supplied to chemical production, according to one embodiment of this disclosure, is shown.

[0146] Figure 6BAnother example system for adjusting characteristic data associated with materials to be supplied to chemical production, according to one embodiment of this disclosure, is shown.

[0147] Figure 7 A flowchart illustrating an example method for adjusting characteristic data associated with materials to be supplied to chemical production, according to one embodiment of this disclosure, is shown.

[0148] Figure 8A A first example system for monitoring one or more substances critical to the production of output products from one or more input materials provided for production is shown according to one embodiment of this disclosure.

[0149] Figure 8B Another example system for monitoring one or more substances that are critical to the production of output products from one or more input materials provided for production is shown according to one embodiment of this disclosure.

[0150] Figure 9 A flowchart illustrating an example method for monitoring one or more substances critical to the production of an output product from one or more input materials provided for production, according to one embodiment of this disclosure, is shown.

[0151] Figure 10 A first example of a digital access element according to an embodiment of this disclosure is shown, the digital access element including DID owner data and DID document data and associated with a decentralized identity infrastructure.

[0152] Figure 11 Another example of a digital access element associated with a distributed identity infrastructure is shown, according to one embodiment of this disclosure.

[0153] Figure 12 An example system for monitoring and / or controlling the production of an output product from one or more input materials through chemical production, according to one embodiment of this disclosure, is shown.

[0154] Figure 13 A flowchart illustrating an example method for monitoring and / or controlling the production of an output product from one or more input materials through chemical production, according to one embodiment of this disclosure, is shown.

[0155] Figure 14 An example system for monitoring and / or controlling at least one operation to be performed on materials supplied for chemical production, according to one embodiment of this disclosure, is shown.

[0156] Figure 15 schematically shown Figure 14 An example of an operational data generator.

[0157] Figure 16 A flowchart illustrating an example method for monitoring and / or controlling at least one operation to be performed on materials supplied for chemical production, according to one embodiment of this disclosure, is shown. Detailed Implementation

[0158] Figure 1 An example embodiment of a circular material loop 130 is shown, which includes material participants 102 to 112 connected via a distributed network 134, which includes distributed network nodes 128 to 126 associated with the material participants 102 to 112.

[0159] Figure 1 The participant network shown can be a material chain network. A material chain network can include one or more linear material chains, such as production chains and / or recycling chains. A linear material chain can include a material production chain, in which materials are produced by material producer 102 and used, for example, by an original equipment manufacturer (such as chemical product user 104) to produce end products. A linear material chain can include a material recycling chain, in which the produced end products are collected, sorted, and recycled to recycler 112, and the recycled materials are used by material producer 102 to produce new materials. A material chain can include one or more production chains and / or recycling chains. A material chain can include one or more connected production chains and / or recycling chains. One or more linear material chains can be connected to material circulation 130.

[0160] The material chain network may include a material recycling network 130, which includes the use of recycled materials to produce new materials. One or more material recycling networks 130 may allow the use of materials generated from the recycling of end-of-life products to produce new products associated with one or more material chains, such as chemical intermediates or chemical products. The material chain network (preferably material recycling network 130) may include the production, use, and / or recycling of physical materials or products containing such materials. Products may be materials, chemical products, intermediate chemical products, discrete components containing materials, discrete component assemblies, final products, end-of-life products, products to be recycled, recycled products, or recyclables. Chemical products may include chemical intermediates and chemical products.

[0161] Materials or chemical products can refer to chemical compounds, chemical components, chemical molecules, chemical compositions, chemical mixtures, chemical preparations, intermediate chemical products, or basic chemical materials that can be used to produce discrete products. A stream of chemical materials or products may include non-discrete material streams that can be further processed to produce discrete products or components. A stream of chemical materials or products may include liquids, pellets, lumps, powders, etc. Discrete products can refer to discrete components, discrete component assemblies, final products, end-of-life products, products to be recycled, or recycled discrete products.

[0162] Chemical materials or products can be produced using raw materials and / or recycled materials. Recycled materials can refer to materials recovered mechanically or chemically. A stream of recycled materials or recycled materials can include a non-discrete stream of materials that can be further processed to produce new materials or chemical products. Recycled materials or recycled material streams can include liquids, pellets, lumps, powders, etc. Raw materials can refer to starting materials used in the production of materials or chemical products, such as virgin raw materials. Virgin raw materials can be unused raw materials that have not undergone any processing other than production.

[0163] Final products can refer to products that are the result of a material chain. Final products can refer to products used by end-product users. End-of-life (EoL) products can refer to products that have already been used by end-product users. End-of-life products can refer to products that no longer meet their usage requirements. End-of-life products can refer to any substance or object that a holder discards, intends to discard, or must discard. A holder is considered to have discarded a substance or object if they hand it over to recycling or disposal, or relinquish actual control over it and cease using it for any other purpose. End-of-life products can refer to products that are no longer needed. End-of-life products can be products disposed of as waste, such as plastic waste. End-of-life products may form waste, such as waste streams. Recycled products can refer to any product or material that has been produced using end-of-life products. Recycled products can refer to new products or materials that have been produced using end-of-life products.

[0164] Figure 1 The illustrated material cycle 130 may include multiple participants 102-112 forming the material cycle 130. The material cycle 130 may include all material stages from the production of materials through the use of materials to the reuse of materials. Therefore, materials can flow in a closed loop from the production of components, the final product, through use to reuse. Reuse may include reusing end-of-life products, refurbishing end-of-life products, and / or recycling end-of-life products to feed the recycled materials back into the production of materials.

[0165] Participants 102 to 112 in the material recycling process can be associated with the production and / or recycling of any material or product. Participants in the material recycling process 130 may include chemical product producers 102, original equipment manufacturers (OEMs) 104, end-product users 106, end-product maintenance workshops 108, end-of-life (EOL) product collectors and / or sorters 110, recyclers 112, or combinations thereof. Participants may include those in the material chain or recycling process. Figure 1 Various participants not shown in the text.

[0166] Participants 102 to 112 of material circulation 130 can be connected via material flow 136. Circulating material flow 136 can correspond to the flow of product or material from one participant 102 to 112 of material circulation to downstream participants 102 to 112 of material circulation 130. Circulating material flow 136 can refer to continuous or discontinuous flow of product or material. The product or material flow can include any means of transport suitable for transporting product from one participant 102 to 112 to another downstream participant 102 to 112. Transport means can include pipes, containers, barrels, packaging, etc. Material flow 204 can be a one-sided flow, such as directional circulating material flow 136. Circulating material flow 136 can flow from upstream participants 102 to 112 of material circulation 130 to downstream participants 102 to 112, such as circulating material flow 136 from recycler 112 to chemical product producer 102. The circular material flow may include a reverse material flow 136 from downstream participants 102 to 112 of the material cycle 130 to upstream participants 102 to 112. For example, when a recycled product or recyclable does not meet quality specifications and requires further processing, the material may flow from chemical product producer 102 to recycler 112 in a circular material flow 136.

[0167] Circular material stream 136 may be associated with raw materials (such as virgin raw materials) used to produce materials or chemical products. Instead of or in addition to virgin raw materials, circular material stream 136 may include recycled materials. Raw materials and recycled materials may be provided to chemical product producers for the production of materials, chemical products, and / or intermediate chemical products (not shown).

[0168] Figure 1The illustrated material cycle 130 can be based on examples of feedstocks used in chemical production and their circular cycles. Chemical production can produce one or more chemical products (e.g., output products) from one or more materials entering the chemical production process (e.g., input materials). Output products can be intermediate chemical products. Output products can be chemical products. Feedstocks for chemical production can include any type of feedstock entering the chemical production process. Feedstocks can include raw materials used to produce chemical products, such as primary raw materials. Feedstocks can include fossil and / or non-fossil feedstocks. Examples of fossil feedstocks include crude oil, naphtha, methane, etc. Examples of non-fossil feedstocks include recycled feedstocks, bio-based feedstocks, or renewable feedstocks. Examples of recycled feedstocks include pyrolysis oil, pyrolysis gas, mechanically recycled polymer materials, or chemically recycled polymer materials. Examples of bio-based or renewable feedstocks include bio-based pyrolysis oil, bio-based pyrolysis gas, bio-based synthesis gas, bio-based hydrogen, bio-based naphtha, bio-based methane, bio-based ethane, bio-based propane, bio-based chemicals, renewable pyrolysis oil, renewable pyrolysis gas, renewable synthesis gas, renewable hydrogen, renewable naphtha, renewable methane, renewable ethane, renewable propane, or renewable chemicals or any combination thereof.

[0169] Chemical products can be produced by chemical product producer 102 from one or more materials / raw materials. Materials may include recycled materials (such as pyrolysis oil) supplied by recycler 112 and / or virgin materials supplied by virgin material producer 138. The produced chemical products can be provided to chemical product user 104. Chemical product user 104 can use the received chemical products to produce one or more discrete products, such as tires. Discrete products can be provided to end-product producer 106. The end-product producer can use the discrete products received from chemical product user 104 to produce one or more end products, such as vehicles. End products can be provided to end-product user 108. End-product user 108 can use the end products. At the end of the life of the end product or its parts (such as tires), the end product or its parts can be disposed of by end-product user 108. The disposed end product or its parts can be provided to waste collector and / or sorter 110. Waste end products or their parts can be collected by EOL product collector / sorter 110. The collected waste end products or their parts can be sorted by EOL product collector / sorter 110. The collected waste end products or their parts can be provided to the sorter for sorting into fractions of the end products or their parts to be recycled (e.g., tires). The sorted fractions can be provided to recyclers for recycling fractions, such as tires. Recycled materials produced by recycler 112 can be provided to chemical product producer 102 to produce new chemical products, thereby closing the material cycle 130. The circulating material flow 136 can close the loop between material participants.

[0170] Materials participants may include chemical product producers 102, chemical product users 104, end-product producers 106, end-product users 108 (such as retailers or end-product consumers), EOL (Excess Oil) product collectors / sorters 110, recyclers 112, and verification services 114. Verification services 114 can be configured to verify material data received from recyclers 112 and generate analytical certificate data and optional digital credentials, such as... Figures 2A to 2C As described in the context.

[0171] In addition to the connection via the circular material flow 136, the material participants 102 to 112 of the circular material cycle 130 can be connected via a distributed network 134 via a data flow 132. The distributed network 134 may include one or more distributed network nodes 128 to 126 associated with the material participants 102 to 112 of the material cycle 130. In a distributed network 134, unlike a centralized network, the distributed network nodes 128 to 126 do not exclusively depend on a central network node. In other words, no single entity is the sole authority of the network. The distributed network 134 may include distributed network nodes and a central network node. The distributed network 134 may include a central network node capable of controlling and / or monitoring the distributed network nodes 128 to 126. For example, the central network node may provide authentication information that allows at least two distributed network nodes 128 to 126 to establish peer-to-peer communication channels between the respective distributed network nodes 128 to 126.

[0172] Network nodes 128 to 126 may be computing nodes. A computing node may be any device or system comprising at least one physical tangible processor and physical tangible memory capable of having computer-executable instructions executed by the processor thereon. The forms of computing nodes are becoming increasingly diverse. Computing nodes may be, for example, handheld devices, monitoring systems, control systems, laptops, desktop computers, mainframes, and / or data centers. Memory may take any form and depends on the nature and form of the computing node. Distributed network nodes 128 to 126 may be connected via wired and / or wireless connections (such as Ethernet, USB, LAN, WLAN, etc.). Wireless communication may use, for example, WLAN, Wi-Fi, cellular, and / or Bluetooth. Distributed network nodes 128 to 126 may be configured to perform peer-to-peer data transactions as indicated by arrow 132 indicating data flow.

[0173] Distributed network nodes 128 to 126 can be configured as data consuming network nodes and / or data providing network nodes. Distributed network nodes 128 to 126 can be configured to provide data to other network nodes in the distributed network 134 and / or consume data from other nodes in the distributed network 134. For example, distributed network node 116 associated with chemical product producer 102 can be configured to provide downstream participants (such as end-product user 108 or recycler 112) with machine fluid data and / or monitoring data associated with the characteristics of machine fluids and / or used machine fluids. Further, for example, distributed network nodes 1128 to 126 associated with EOL product collector / sorter 110 or recycler 112 can be configured to access data from network nodes 128 to 126 associated with upstream participants (such as chemical product producer 102).

[0174] Distributed network nodes 116 to 128 can be configured as data consuming network nodes and / or data providing network nodes. Distributed network nodes 116 to 128 may include computer-executable instructions configured to provide, consume, and / or process data, such as data associated with materials produced or processed within the circular material cycle 130. Network nodes can operate data services configured to provide data to another distributed network node 116 to 128 in the distributed network 134. Distributed network nodes 116 to 128 configured to provide data may be associated with a data owner or data generating node associated with materials or products produced or processed within the circular material cycle 130. Distributed network nodes 116 to 128 may be connected to one or more dedicated data storage devices that store data associated with materials or products produced or processed in the circular cycle 130 (see, for example...). Figure 12 A dedicated data storage device can be under the control of a data owner or data generating node associated with the materials or products produced or processed in the circular loop 130. The data owner can be a corresponding participant 102 to 112 in the circular loop 130 associated with data generating nodes 116 to 128. Data generating nodes 116 to 128 can access the dedicated data storage device. Therefore, access to data associated with the materials or products produced or processed within the circular loop 130 can be under the control of the data owner associated with the corresponding distributed network nodes 116 to 128. This allows for maintaining complete control over the data associated with the materials or products produced or processed within the circular loop 130 by the data owner. Simultaneously, this enables the sharing of data associated with the materials or products produced or processed within the circular loop 130 under controlled conditions, for example, by establishing peer-to-peer communication using appropriate protocols that include authorization and authentication mechanisms or schemes.

[0175] Distributed network nodes 116 to 128 configured to consume data may include computer-executable instructions for accessing and / or processing data within the distributed network 134, such as data associated with materials produced or processed within the circular cycle 130 and provided by distributed data providing network nodes 116 to 128. Distributed data consuming network nodes 116 to 128 may be controlled, owned, or associated with any upstream or downstream participant in the circular material cycle 130. For example, distributed data consuming network node 116 may be associated with chemical product producer 102 to allow access to material data associated with recycled materials supplied by recycler 112 via distributed data providing network node 126 associated with recycler 112.

[0176] The distributed network 134 may include additional distributed network nodes. These additional distributed network nodes may not be associated with other participants in the ring loop 130. These additional nodes may be distributed infrastructure service nodes (…). Figure 1 (Not shown in the image). Distributed infrastructure service nodes can provide services to distributed participant nodes 128 to 126, such as verifying the identity of distributed network participant nodes 116 to 128 before performing data exchange. Distributed network participant nodes 116 to 128 may be associated with or include a certificate, such as an X.509 certificate. The certificate may be associated with an identity manager, which includes, for example, a certificate issuance service and / or a dynamic provisioning service that provides dynamic attribute tokens (e.g., OAuth access tokens). Thus, distributed network nodes 128 to 126 can be associated with or connected to a unique identifier embedded in the X.509 certificate that identifies the corresponding distributed network node 116 to 126. The information required to verify the certificate can be provided via a registry associated with the certificate issuance service and / or the dynamic provisioning service. For example, in the IDSA Reference Architecture Model version 3.0 in April 2019, decentralized data provisioning network nodes associated with data owners, certification authorities (CAs), and dynamic attribute provisioning services (DAPS), as well as decentralized data consuming network nodes associated with data consumers, verify identities (not shown) before performing data exchanges.

[0177] Materials or products produced by participants 102 to 112 of circular cycle 130 can be associated with material or product data, which is related to the characteristics of the materials or products produced by participants 102 to 112 of circular cycle 130. Material or product data can be provided for access by distributed data provisioning network nodes 116 to 128 associated with the material or product producers. Access to the material or product data can be controlled by the distributed data provisioning network nodes 116 to 128. Material or product data can also be accessed by distributed data consuming network nodes 116 to 128 associated with other participants 102 to 112 of material cycle 130 (such as any downstream participants 102 to 112).

[0178] Data flow 132 between distributed network nodes 116 to 128 can be directly or indirectly associated with the circulating material flow 136 between participants 102 to 112 of the material cycle 130. For example, if data associated with chemical products supplied from chemical product producer 102 to chemical product user 104 is accessed by a distributed data consumption network node 118 associated with said chemical product user 104, then data flow 132 can be directly associated with the circulating material flow 136. For example, if data associated with chemical products produced by chemical product producer 102 is accessed by a distributed data consumption network node 126 associated with recycler 112, then data flow 132 can be indirectly associated with the circulating material flow 136.

[0179] Data transactions between distributed network nodes 116 to 128 can be based on distributed identifiers associated with the material or product data to be accessed. Distributed identifiers can be associated with a physical entity of the material or product. Distributed identifiers can be uniquely associated with a physical entity of the material or product. Distributed identifiers can uniquely identify materials or products within the distributed network 134. Distributed identifiers can be associated with other distributed identifiers, such as those for materials or products used to produce a final product. This allows for tracking of materials or products used to produce a product (such as a final product). Distributed identifiers can be associated with digital credentials generated when verifying material data. Distributed identifiers can include, for example,... Figures 8A to 11 The access elements associated with the material or product are described in more detail in the context of the document.

[0180] In particular, the generation of access elements associated with digital credentials allows for reliable, secure, and simple verification of the chemical and / or physical properties of input materials entering chemical production, thus improving the environmental impact of the circular material cycle 130 by allowing the use of recycled materials as input materials in chemical production without negatively impacting the operation of chemical production.

[0181] Figures 2A to 2CAn example system for confirming material data associated with a material to be used in the production of one or more output materials, according to one embodiment of this disclosure, is illustrated. The material may include recycled material, renewable material, or bio-based material. The material may include a recycling content, a renewable content, and / or a bio-based content. Recycled material may include pyrolysis oil. The material may be produced from one or more inputs entering the production process. Inputs may include waste materials, such as scrap materials or components thereof. Inputs may include waste fractions generated by sorters, such as... Figure 1 As described in the context. Inputs may include waste tires and / or waste plastic fractions.

[0182] The system can include production 204. Production 204 can interact with distributed network participants (e.g., in...). Figure 1 This is related to the recycler 112 described in the context of this study. To produce one or more materials 206, different inputs 202 (hereinafter also referred to as input materials 202) may be provided as physical inputs from material providers or suppliers. Physical inputs provided to production 204 may include waste materials, such as waste fractions. Input materials 202 may be fed into production 204 at any entry point. Input materials 202 may be fed into production 204 at the starting point of production 204. Input materials can be considered as inputs used for production 204.

[0183] Production 204 may include multiple production steps. The production steps included in production 204 can be defined by the system boundary 216 of production 204. The system boundary 216 can be defined by the location or control of the production processes. The system boundary 216 can be defined by the site of production 204. The system boundary can be defined by a production process jointly controlled by one or more entities. The system boundary can be defined by a value chain with interleaved production processes leading to the final product, which can be separately controlled by multiple entities.

[0184] Production 204 can transform incoming material 202 into one or more materials 206 leaving production 204. Production may include a pyrolysis step. The pyrolysis step can pyrolyze the input material, for example, according to methods known in the art. The transformation can be a chemical reaction or any other processing step, such as physical processing. Chemical reactions can produce mixtures of different chemical products. Therefore, chemical reactions can be characterized by a one-to-many or many-to-many relationship between the starting material and the resulting reaction products. This contrasts with discrete manufacturing, where there is a many-to-one relationship between parts / components and assemblies; for example, the result of discrete manufacturing steps is a specific and predictable assembly. Such mixtures typically require the separation of the different chemical products contained in the mixture. Separation may include distillation, washing, extraction, crystallization, and recrystallization. The resulting mixture may contain substances to be supplied to upstream participants in the product ecosystem (such as chemical product producer 102, see...). Figure 1 The desired material 206. The resulting mixture may contain waste chemicals, such as chemicals that cannot be further used and require disposal, for example, by incineration. Waste chemicals may be generated by undesirable chemical side reactions.

[0185] Production 204 may include a measurement service 208. A sample 218 of material 206 produced by production 204 may be provided to the measurement service 208. The sample 218 may be representative of the produced material 206. The measurement service 208 may be configured to collect at least one chemical and / or physical property of the sample 218. The measurement service 208 or measurement unit may include one or more sensors. The sensors may be configured to measure at least one chemical and / or physical property of the material 206 produced by production 204. The sensors may be configured to collect data related to at least one chemical and / or physical property of the material 206. The sensors may include one or more analytical instruments, such as analytical devices, spectrometers, and / or calorimeters. The chemical and / or physical properties can then be determined based on such collected data. The measurement service 208 may be configured to determine at least one chemical and / or physical property based on the collected data. The measurement service 208 may be configured to generate material data including the measured or determined properties. The material data may further include a numerical identifier associated with the material 206. The numerical identifier may be a unique identifier, such as a batch number, LOT, or a combination thereof. The material data may further include a numerical identifier associated with sample 218 of material 206. This allows for further linking of the material data to the corresponding sample 218.

[0186] Measurement service 208 can be coupled to operating system 230 via a communication interface. Measurement service 208 can be configured to provide the generated material data to a database, such as database 210. Database 210 can be part of operating system 230 of production 204. Database 210 can further include entity data associated with measurement service 208. Operating system 230 can monitor and / or control production 204 based on operating parameters associated with different processes performed by production 204. One process step monitored and / or controlled can be the feeding of inbound material 202 or the release of produced material 206. Another process step monitored and / or controlled can be the separation of chemical products contained in a mixture produced by a chemical reaction performed within production 204. Yet another process step monitored and / or controlled can be the confirmation of material data associated with produced material 206, such as... Figure 3 The context described herein. Operating system 230 may include confirmation service 114. Confirmation service 114 may be configured to perform in Figure 3 The methods described in the context of [the previous sentence]. Verification service 114 may include verification engine 220. Verification engine 220 may be configured to verify material data stored in database 210 using target characteristic data stored in database 212. Upon successful verification of the material data, verification service 114 may be configured to generate digital assets including a digital identifier associated with the produced material 206 associated with that material and at least a portion of the verified characteristic data, such as [example data]. Figure 4 The digital assets shown are as follows. Confirmation service 114 can be configured to store the generated digital assets in a database (e.g., database 214). Confirmation service 114 can also be configured to provide the generated digital assets to another confirmation service (not shown, see example...). Figure 2B and Figure 2C This additional verification service is configured to generate digital credentials by verifying received digital asset and entity data, for example, such as... Figure 3 As described in the context. An additional verification service can provide the generated digital credentials to verification service 114. Verification service 114 can be configured to store the received digital credentials in database 214.

[0187] and Figure 2A Compared to China, in Figure 2B In the system shown, confirmation service 114 is a distributed network (e.g., Figure 1This is part of the distributed network 134 shown. Operating system 230 may include material data. The material data may be provided to confirmation service 114 via a data service (e.g., node 126A) associated with an entity operating production 204 (e.g., recycler 112). The data service may be associated with operating system 230 of production 204. Confirmation service 114 may be associated with a data consumption service (e.g., node 114B) configured to consume material data received from a data providing node (e.g., node 126A). Confirmation service 114 may be further associated with a data service (e.g., node confirmation service 114A) configured to provide generated digital assets and associated digital credentials via the distributed network to the data consumption service (e.g., node 126B) associated with the entity operating production 204. The data consumption service may be associated with operating system 230 of production 204.

[0188] and Figure 2B Compared to the previous version, Measurement Service 208 is... Figure 2C External services, such as measurement service 208, reside outside the system boundary 216 of production 204. Measurement service 208 can receive physical samples of material 206 produced by production 204. Measurement service 208 can be configured to measure the physical and / or chemical properties of the sample using one or more sensors 222. Alternatively, measurement service 208 can be configured to determine the physical and / or chemical properties of the sample based on data acquired by sensors 222. Measurement service 208 can be configured to store the measured and / or determined physical and / or chemical properties of the sample in database 224. Measurement service 208 can be associated with a data service (such as node 228). Data service 228 can be configured to provide the property data stored in database 224 and the entity data stored in database 226 as material data to verification service 114. Such data can be signed before being provided to verification service 114 via a distributed network. Signing can be performed using a private key associated with measurement service 208. The verification service 114 can be configured to verify received material data and provide the generated digital assets and associated digital certifications to the entity producing the materials via a distributed network, such as... Figure 2B As described in the context.

[0189] Figures 2A to 2C The system shown is merely an example of the location of verification and / or measurement services. Verification services could also be located within an operating system associated with downstream production of the consumable material 206.

[0190] Verifying the material data associated with material 206 ensures that the chemical and / or physical properties associated with material 206 match the target material properties required by downstream participants in the material cycle (such as chemical product producer 102) to use material 206 as a feedstock within chemical production. Generating digital assets linked to the corresponding production of material 206 and including at least a portion of the verified property data allows for the digital provision of this verified property data when the material is physically provided, enabling consumers of the material to digitally access and use the verified property data to control the production of chemical products from this material. Digital credentials can be used to prove that the property data was obtained and / or determined in a trustworthy and reliable manner, thus allowing downstream participants in the material cycle to trust the property data included in the digital assets and control their industrial operations based on this property data. By verifying the property data associated with the material, it can be ensured that this property data meets the target property data (e.g., possesses sufficient quality) required by downstream participants to process the material, thereby allowing the avoidance of costly and time-consuming analyses of the material by downstream participants to ensure that the material's property data meets the target property data required for further processing. This allows for more efficient operation of industrial processes involving the use of recycled materials, processes that would otherwise be prone to material composition fluctuations due to variations in the composition of the waste materials used to prepare the recycled materials. Additionally, it allows for the use of recycled materials with volatile compositions as raw materials, while ensuring that such recycled materials can be processed within production, without negatively impacting the operations performed within production and / or the quality of the products manufactured from such materials.

[0191] Figure 3 A flowchart illustrating an example of a method for confirming material data associated with a material to be used in the production of one or more output materials, according to one embodiment of this disclosure. The material may include recycled material, renewable material, or bio-based material. The material may include a recycling content, a renewable content, and / or a bio-based content. Recycled material may include pyrolysis oil. The material may be produced from one or more inputs entering the production process. Inputs may include waste materials, such as scrap materials or components thereof. Inputs may include waste fractions generated by sorters, such as... Figure 1 As described in the context. Inputs may include waste tires and / or waste plastic fractions. Figure 3 The method shown can be derived from Figures 2A to 2C System implementation, such as by Figures 2A to 2C The confirmation service 114 shown is implemented.

[0192] Material data associated with the material can be provided (see box 302). Material data may include numerical identifiers, property data, and physical data associated with the material. Material data may further include data related to an industrial operation in which the material is processed or used. The industrial operation may be associated with a downstream participant using the material as input to produce one or more output products. Data related to the industrial operation may include an industrial operation identifier, a downstream participant identifier, or a combination thereof. Such data allows for the determination of appropriate target property data when validating the provided material data. Property data may include chemical and / or physical property data associated with the material. Property data may include at least one measured chemical and / or physical property of the material and / or at least one physical and / or chemical property of the material determined based on the measured data. Chemical and / or physical properties may be obtained from measurement services (e.g., Figures 2A to 2C The measurement service 208 shown identifies and / or measures properties. Property data may include halogen content data (e.g., chlorine content data), data related to contaminant content (e.g., Hg, Fe, Si, Zn, V, and / or N content data), boiling point data, distillation data (e.g., distillation range), ash content data, flash point data, pour point data, autoignition temperature data, density data, calorific value data, biogenic content data, data related to visual assessment results of the material, and / or data related to the material's corrosivity. Relevant data may include individual values ​​or ranges. Property data may include analytical certificate data. Analytical certificate data may include chemical and / or physical property data associated with the material, as described above. Analytical certificate data may be generated by the material's producer, for example, such as... Figure 2A As described in the context.

[0193] Entity data can be associated with the entity that generates the material data. For example, entity data can be associated with measurement service 208 that generates the material data. Entity data can include a digital identifier that uniquely identifies such an entity. Entity data can further include certification data associated with the entity's certification. This data can further include data associated with authorized personnel performing material analysis or approving chemical and / or physical property data. This data can further include a public key associated with a private key used to sign the material data, allowing verification of the signature, for example, during confirmation. Such an entity can correspond to an institution, company, association, government agency, or individual that analyzes material samples using one or more test methods. Test methods can correspond to standard test methods. Test methods can correspond to predefined test methods. Data regarding predefined test methods can be provided to the entity by the material producer. For example, the material producer can provide a physical sample of the material and data associated with the test method to be performed on such sample. The sample can be transported from the material producer to the entity that determines the material data. A certificate can certify that the entity performs sample analysis according to a defined set of rules (such as standards). Such a certificate can be issued by a certification body to indicate that the entity and / or the operations performed by the entity (such as measurements) comply with the requirements of the certification system. This certificate serves as evidence that the entity and / or its services have been audited by an independent third-party certification body and have been found to comply with relevant standards and requirements. The certificate may include information such as the name and address of the certified entity, the scope of certification (e.g., which services are covered, such as measurement services), the name of the certification body, the date of issuance, and the expiration date. The certificate may be valid for a specific period and may require ongoing audits or surveillance to maintain. The certificate demonstrates a commitment to quality and compliance with industry standards. The certificate can indicate that the material data generated by this entity is honest and reliable.

[0194] Material data can be generated and signed by the entity that generated the data using a private key or a representation thereof associated with that entity. Material data can be provided from a database storing such data. For example, verification service 114 can receive an instruction or request to verify material data. The instruction or request may include a digital identifier associated with the material. Verification service 114 can use the digital identifier to collect material data associated with that digital identifier from the database storing such material data. Collection may include mapping the digital identifier included in the received request or instruction to a digital identifier included in the database, and collecting material data associated with the digital identifier that matches the digital identifier included in the received request or instruction. Material data can be provided by a user, for example, by sending the material data to the API of verification service 114.

[0195] Target characteristic data and target entity data can be provided (see box 304). Target characteristic data can be generated by downstream participants in the product ecosystem who process materials produced by material producers (e.g., associated upstream participants in the product ecosystem). Target characteristic data can be provided by entities that process materials. Target characteristic data can be provided by entities that generate material data. Target characteristic data can be provided by entities that produce materials. Target characteristic data can include industrial process data, material type data, and target chemical and / or physical properties: target characteristic data can further include data associated with entities that provide target chemical and / or physical property data. Target characteristic data for each material or material type can include target characteristic data critical to one or more subsequent processing steps of the material by one or more downstream participants in the product ecosystem. Target characteristic data critical to subsequent processing steps can refer to characteristic data that hinders at least one subsequent processing step and / or at least one facility performing the subsequent processing step and / or the quality of the output product produced by at least one subsequent processing step. Target characteristic data critical to subsequent processing steps can relate to the subsequent processing and / or use of the output product obtained from such processing steps. Key characteristic data associated with materials (such as recycled materials, particularly pyrolysis oils) may relate to further processing of such materials, for example, in steam cracking units and / or syngas facilities associated with downstream participants. Key characteristic data associated with pyrolysis oils may include, but is not limited to, halogen content data (e.g., chlorine content data), data associated with the content of contaminants (such as Hg, Fe, Si, Zn, V, N), boiling point data, distillation range data, ash content data, flash point data, pour point data, autoignition temperature data, data associated with visual assessment of the material, density data, calorific value data, and / or data indicating the corrosiveness of the pyrolysis oil. Target entity data may define one or more entities and / or one or more valid certificates required by the entity providing the material data. Entities can be defined using a uniquely identifying numerical identifier. For example, the entity's name, address, entity ID, or a combination thereof can be used to define an entity. This allows for the definition of trusted entities, such as entities known to provide reliable and credible material data via the predefined entity data. Required certificates can be defined using a uniquely identifying numerical identifier. For example, the predefined entity data may include the certificate's name, certifying body, certificate validity, or a combination thereof.

[0196] At least a portion of the provided characteristic data and at least a portion of the provided entity data can be validated (see box 306). Validation may include selecting target characteristic data based on the provided material data. Target characteristic data can be selected from the provided candidate target characteristic data by matching the industrial operation-related data included in the material data with the industrial operation data included in the provided candidate target characteristic data. This allows for the selection of appropriate target characteristic data for validation from the provided target characteristic data, thereby ensuring reliable and accurate validation results. Selecting appropriate target characteristic data from multiple candidate target characteristic data allows for the validation of material data associated with materials used as production inputs in various different industrial operations that require different target characteristics of such materials.

[0197] If at least a portion of the characteristic data is included in the target characteristic data of the provided material, that portion is validated. Validation may include matching at least a portion of the provided characteristic data with the target characteristic data. If the provided characteristic data matches the target characteristic data, the provided characteristic data may be valid or validated. Validation may be performed for each characteristic included in the provided characteristic data. For example, each data point included in the provided characteristic data may be matched or compared with a corresponding data point included in the target characteristic data. Validation allows determining whether the provided characteristic data meets the target characteristic data, for example, meeting the specifications of the material as defined by the consumer of the material (e.g., a downstream participant consuming the material produced by the material producer (e.g., the corresponding upstream participant)). If at least a portion of the entity data is included in target entity data associated with at least one predefined entity that generated the material data, that portion of the entity data is validated. Validation may include matching at least a portion of the entity data included in the provided material data with the target entity data. If the provided entity data matches the target entity data, the provided entity data may be valid or validated. Validation may be performed for each data point included in the provided entity data. For example, certificate data included in the entity data may be matched with target certificate data included in the target entity data. This ensures that the entity has undergone analysis of the material according to a predefined set of rules (such as predefined standards) to obtain measured and / or determined chemical and / or physical properties. Conformity to such a predefined set of rules during the material analysis indicates that the measured and / or determined chemical and / or physical properties obtained from this analysis are reliable and credible.

[0198] If at least a portion of the characteristic data is related to the provided entity data, that portion can be verified. Verification may include determining the reasonableness of the characteristic data relative to the entity data (such as certification data included in the entity data). For example, the reasonableness of the presence of bio-based content data in the characteristic data can be determined by determining whether the entity data includes certification data associated with the use of bio-based materials from which such bio-based content is generated. If such certification data associated with the use of bio-based materials is included in the entity data, the bio-based content data can be verified.

[0199] The verification process may further include comparing the provided material data with previously provided material data associated with the same material type. This allows for determining whether the provided material data appears reasonable and avoids the possibility of providing the same material data for different materials or providing material data for the same material twice. This ensures that digital assets and associated credentials are not generated for different material batches based on the same material data, as these batches typically differ in their chemical and / or physical properties due to the characteristics of the production conditions and the production inputs used. Additionally, this avoids the duplicate generation of digital assets and associated digital credentials for the same material data. Previously provided material data can be stored in a data storage device. Previously provided material data can be associated with digital identifiers, material types, and / or entity data.

[0200] It can be determined whether at least a portion of the characteristic data and at least a portion of the provided entity data have been verified, for example, whether they have been successfully verified (see decision box 308).

[0201] If at least a portion of the characteristic data is confirmed, but at least a portion of the entity is rejected (e.g., unconfirmed), a digital asset can be generated that includes a digital identifier included in the provided material data and at least a portion of the confirmed characteristic data, without generating a digital certificate (see box 318). Reference Figure 4Digital assets can correspond to a dataset comprising one or more data points. Digital assets can include one or more key-value pairs. Digital assets can include structured data. Digital assets can include digital identifiers included in material data, such as material identifier 404 and sample identifier. Digital identifiers included in digital assets can be linked to the physical entity of the material. Digital identifiers included in digital assets can be associated with the physical entity of the material. Digital identifiers can be included, associated with, or related to identifier elements physically attached to the material. This allows linking digital assets to the physical entity of the material. Digital identifiers included in digital assets can include or be associated with decentralized identifiers. This allows providing digital assets to downstream participants consuming the material associated with the digital asset in a secure and controlled manner via a decentralized network. Digital assets can further include data associated with entities that measure and / or determine chemical and / or physical properties. Digital assets can include metadata, such as issuance data. Digital assets can further include one or more confirmed chemical and / or physical properties. Digital assets can further include one or more testing methods for determining confirmed chemical and / or physical properties. Digital assets can be signed using the private key of the entity that generated the digital asset (such as the verification service 114). The signature data can be included in the digital asset as proof data. This proof data can contain data associated with a public key linked to the private key used to generate the signature. This allows the entity receiving the digital asset to verify the signature data included in the digital asset, and thus verify the authenticity of the signer (e.g., the party that generated the digital asset).

[0202] Data may be rejected if at least a portion of the entity data does not match the target entity data. For example, data may be rejected if the entity data does not include certificate data defined in the target entity data. The lack of such certificate data may indicate that the material data was obtained by performing analysis on materials that do not conform to the required target rule set (e.g., required standards). Therefore, the lack of such certificate data may indicate that the measured and / or determined chemical and / or physical properties were not obtained according to defined or established methods, and thus may not be considered credible. Digital assets may include a digital identifier included in the provided material data and at least a portion of the confirmed chemical and / or physical property data, as described above.

[0203] If at least a portion of the characteristic data and at least a portion of the entity data are verified, a digital asset can be generated that includes at least a portion of the verified characteristic data and / or digital credentials (see box 310). The digital credentials can be associated with the digital asset linked to the material via a digital material identifier. For example, the digital asset and digital credentials may include a digital material identifier associated with the material. The digital credentials may include or correspond to one or more verifiable credentials. Reference Figure 5A Digital credential 502 may include digital credential data 504, a statement about the subject 506, and proof data 508. The subject may be material associated with the digital credential. The statement may correspond to an authentication or assertion related to the verification of the provided characteristic data and / or entity data relative to the target characteristic data and target entity data. Proof data 508 may contain a signature value generated using a private key associated with the issuer of the digital credential. The signature value can be cryptographically verified using a public key associated with the private key. (See reference) Figure 5B Digital voucher data 504 may include key-value pairs representing the voucher identifier, voucher type, voucher issuer, issuance date, and expiry date. Regarding the statement in subject 506 (e.g., Figure 5B The `credentialSubject` attribute in the JSON data structure shown can include key-value pairs representing the credential subject (e.g., representing the material via a numeric identifier included in the provided material data) and one or more claims made about the credential subject. A claim can indicate that the material data has been successfully verified against target data; for example, the material data satisfies target characteristic data and target entity data. A claim can represent verified characteristic data and target characteristic data. A claim can further represent target entity data and verified entity data.

[0204] If the provided material data is not verified—for example, if the provided characteristic data and the provided entity data are not verified (e.g., do not match the corresponding target data provided)—a digital asset can be generated that includes a digital identifier, at least a portion of the characteristic data, and at least data indicating the unverified characteristic data (see box 314). A digital certificate may not be generated. The digital asset may further include data indicating the target characteristic data. The data indicating the unverified characteristic data may be a classifier. The classifier may be a binary classifier indicating either verification or unverification of the corresponding characteristic data. The data indicating the unverified characteristic data may include the corresponding target characteristic data. This allows for comparison between the corresponding characteristic data and the target characteristic data, and thus allows for determination of whether the characteristic data can be considered "verified" or "unverified." The generation of such a digital asset can trigger adjustments to the material composition, for example, by mixing the material with other batches of the same material, such that the adjusted characteristic data of the adjusted material meets the target characteristic data. This can be done as described in... Figures 6A to 7 The adjustment is performed as described in the context.

[0205] The generated digital assets and / or digital credentials can be provided (see boxes 312, 316, 320). The generated digital assets and / or digital credentials can, for example, be provided to the entity producing the materials via a decentralized network (see...). Figure 2B and Figure 2C The generated digital assets can be provided to entities consuming materials, for example, via decentralized networks (see...). Figure 12 and Figure 13 ).

[0206] By verifying material data, the blending ratio of different batches of materials can be determined when material data cannot be verified (e.g., material data does not conform to at least one chemical and / or physical property defined for the material or material type in the operation). For example, Figures 8A to 9 As described in the context. This allows for the production of new batches of material with chemical and / or physical properties that meet target characteristics, and thus avoids waste material that cannot be processed and must be disposed of. The physical and / or chemical properties of the new batches produced can be determined according to... Figure 3 The method shown is used for verification, and upon successful verification, digital assets and / or digital credentials can be generated and linked to the new batch produced via a digital material identifier.

[0207] By generating digital assets upon verifying material data and providing such digital assets linked to the material via digital material identifiers, the digital assets, or portions thereof, can be collected by downstream participants in the material cycle as the material enters production. This allows for the determination of the conformity of the received material's properties with target chemical and / or physical properties defined by the downstream participant operating such production for the material or material type. The digital assets, or portions thereof, can be accessed by the recipient of the material via a decentralized network using access elements stored in a decentralized registry and associated with the digital assets, or portions thereof. Decentralizing the provision of digital assets, or portions thereof, via access elements allows the data owner of the digital assets to control access to such digital assets, or portions thereof, thereby ensuring the controlled and secure transfer of the digital assets, or portions thereof.

[0208] By generating digital credentials, it is possible to provide proof that the property data included in the digital asset meets given target property data and is determined by a trusted entity (e.g., an entity holding predefined or target authentication). This allows downstream participants in the materials cycle to trust the chemical and / or physical property data included in the associated digital asset and control their industrial operations based on such data without having to perform any further analysis of the properties of the received materials.

[0209] Figure 6A A first example system for adjusting characteristic data associated with materials to be supplied to chemical production, according to one embodiment of this disclosure, is shown. The materials may include recycled materials, renewable materials, or bio-based materials. The materials may include a recycling content, a renewable content, and / or a bio-based content. Recycled materials may include pyrolysis oil. The materials may be produced from one or more inputs entering the production process. Inputs may include waste materials, such as scrap materials or components thereof. Inputs may include waste fractions generated by sorters, such as... Figure 1 The context describes this. Inputs may include waste tires and / or waste plastic fractions. Chemical production may be a chemical production network comprising multiple interconnected processing steps. A chemical production network may be an integrated chemical production network with interconnected production chains. A chemical production network may include multiple distinct production chains having at least one common intermediate product. A chemical production network may include multiple stages of a chemical value chain. A chemical production network may include multiple production chains that produce chemical products as outputs from one or more input materials. A chemical production network may include multi-layered chemical value chains. A chemical production network may include a physically interconnected arrangement of production sites. Production sites may be located in the same location or in different locations. In the latter case, production sites may be interconnected via dedicated transportation systems such as pipelines, supply chain vehicles (e.g., trucks), supply chain vessels, or other cargo transport vehicles.

[0210] The system may include production, for example in Figures 2A to 2C Production 204 is described in the context of [the previous sentence]. Production 204 can be associated with distributed network participants (such as [the previous sentence]). Figure 1 This is associated with the recycler 112 described in the context. To produce one or more materials 206, different inputs 202 (also referred to as input materials 202 below) can be provided as physical inputs from a material provider or supplier to production 204. Production 204 can transform the incoming materials 202 into one or more materials 206 leaving production 204, such as... Figure 2A As described in the context.

[0211] Production 204 may include a measurement service 208. A sample 218 of material 206 produced by production 204 may be provided to the measurement service 208. The sample 218 may represent the produced material 206. The measurement service 208 may be configured to measure and / or determine at least one chemical and / or physical property of the sample 218, such as… Figure 2A As described in the context above. Measurement service 208 can be coupled to operating system 230 via a communication interface. Measurement service 208 can be configured to provide the generated characteristic data to a database, such as database 610. Database 610 can be part of operating system 230 of production 204.

[0212] Operating system 230 may further include adjustment service 608. Adjustment service 608 may be configured to generate adjustment data for adjusting the provided characteristic data to at least a portion of the provided target characteristic data, for example, such as... Figure 7 The adjustment data can be generated by the adjustment data generator 604 of the adjustment service 608, as described in the context of [the previous sentence]. The adjustment data generator 604 can be configured to generate adjustment data, for example, as in [the previous sentence]. Figure 7 As described in the context. Adjustment data can be generated based on available characteristic data of the produced materials and target characteristic data stored in a database (e.g., database 212). Available material 206 may refer to material 206 that has not yet been provided to and / or sold to downstream participants. For example, available material may refer to material existing in the storage facility of production 204 that has not yet been sold to or ordered by downstream participants. Available material 206 may refer to material 206 that has not yet been consumed by chemical production 612 to produce chemical product 618. For example, available material may refer to material existing in the storage facility of chemical production 612.

[0213] Adjustment service 608 can be configured to provide the generated adjustment data to mixer 602 of production 204. Mixer 602 can be controlled based on the adjustment data. Mixer 602 can mix different batches of produced material 206 based on the adjustment data to adjust the chemical and / or physical properties of the resulting mixture for use in producing output material 206. Sample 218 of the produced mixture can be provided to measurement service 208 to generate material data. The generated material data can be verified by verification service 114, for example, as... Figures 2A to 3 As described in the context.

[0214] By generating adjustment data that allows modification or adjustment of the chemical and / or physical properties of produced materials to meet target chemical and / or physical properties, the generation of waste materials that cannot be processed by downstream participants can be avoided. Instead, produced materials that do not meet the target chemical and / or physical properties can be adjusted based on the adjustment data to make the adjusted materials meet these target properties. The measured and / or determined chemical and / or physical properties of such adjusted materials can be verified to generate digital assets.

[0215] Figure 6B Another example system for adjusting characteristic data associated with materials to be supplied to chemical production, according to one embodiment of this disclosure, is shown. The materials may include recycled materials, renewable materials, or bio-based materials. The materials may include a recycling content, a renewable content, and / or a bio-based content. Recycled materials may include pyrolysis oil. The materials may be produced from one or more inputs entering the production process. Inputs may include waste materials, such as scrap materials or components thereof. Inputs may include waste fractions generated by sorters, such as... Figure 1 The context described herein. Inputs may include waste tires and / or waste plastic fractions. Chemical production may be a chemical production network comprising multiple interconnected processing steps, such as Figure 6A As described in the context.

[0216] and Figure 6A In contrast, adjustment service 608 can be associated with downstream chemical production 612 that uses material 206 produced by upstream participants (such as recycler 112) as production input to produce one or more chemical products 618.

[0217] Material 206 produced by an upstream participant of chemical product producer 102 can be supplied to a chemical production process operated by said chemical product producer 102. The material can be stored in a tank before being used as a production input within chemical production 612. The received material 206 can be associated with material data. The material data can represent at least a portion of a digital twin of a physical entity of the material. The digital twin can be a digital representation of the physical entity. The digital representation can correspond to a semantic description of the definition of the physical entity. Thus, a digital twin can represent a digital version of the physical entity. Once created, the digital twin can be used to represent the physical entity of the material in a digital representation of a real-world system. The digital twin can contain one or more datasets (hereinafter also referred to as assets or aspects). A dataset can represent a portion of the digital twin. A dataset can be associated with a distributed dataset identifier to allow identification of the corresponding dataset within the digital twin.

[0218] A decentralized system can be used to collect material data associated with materials entering chemical production 612. The decentralized system can be used to determine decentralized identifiers associated with materials entering chemical production 612. Materials can be associated with access elements, which include decentralized identifiers and access data allowing access to the corresponding material data. Access elements can be as follows: Figures 8A to 9 It is generated as described in the context. An example of this access to elements is... Figure 10 and Figure 11 The access element may further include or involve authentication and / or authorization information linked to the decentralized identifier. The access element may be provided to the decentralized registry. The decentralized registry may store the access elements and may use query data to query for identifying desired material data.

[0219] Participants in a decentralized network can be associated with decentralized participant identifiers. Each participant in a decentralized network can be associated with one or more decentralized participant identifiers. Decentralized participant identifiers can include any identifier that uniquely associates with a participant in the decentralized network and / or with a production site of a participant in the decentralized network. Decentralized participant identifiers can include letters and / or numbers. Decentralized participant identifiers can include one or more Universally Unique Identifiers (UUIDs) and / or one or more Distributed Identifiers (DIDs). Decentralized participant identifiers can be associated with or include verifiable claims or credentials. Verifiable claims can be issued by a centralized or decentralized identity issuing authority that makes one or more claims to a subject, such as an entity that is a trusted participant in the decentralized network. For example, an issuing authority can make claims about consumers (e.g., entities operating data-consuming network nodes) or providers (e.g., entities operating data-providing network nodes) associated with a decentralized participant identifier. Verifiable claims can include these claims along with proof instructions demonstrating that the claims have not been tampered with and were indeed issued by the claim issuing authority. Verifiable claims may also include duration information metadata, which defines the valid period of use of the verifiable claim or the specific number of times the verifiable claim is authorized for use. Verifiable claims may also include the DID of the claim issuing authority and / or subject (such as an entity). Verifiable claims may be signed by the claim issuing authority. The claim issuing authority may provide verifiable claims to claim holders (such as entities) to present them to any dependent parties that rely on the authenticity of these claims, such as decentralized data providers. The signature of the verifiable claim can be verified using the public key associated with the claim issuing authority to determine that the corresponding entity is a trusted entity within the decentralized network. Verifiable credentials may be presented by decentralized data consuming network nodes and may be used by decentralized data providing network nodes to verify that the decentralized participant associated with the decentralized data consuming network node is a trusted entity within the decentralized network before providing access to data (such as product data), thereby ensuring that product data can be exchanged securely and in a controlled manner within the decentralized network.

[0220] When materials supplied by upstream participants enter chemical production 612, ID reader 606 can be configured to read identification elements physically connected to the materials. Data acquired by ID reader 606 can be used to collect material data by a data consumption service (e.g., consumer node 116) associated with the entity operating chemical production 612. Consumer node 116 can be configured to receive data from provider node 126. Consumer node 116 can also be configured to request data from provider node 126. Consumer node 116 can be configured to collect data stored within a distributed network, such as endpoints of provider nodes, access elements stored in a distributed registry, and / or data stored in a dedicated storage device 610 associated with the data owner, provider node 126. Consumer node 116 can be configured to determine the provider node associated with the producer of the material associated with that identifier based on an identifier (e.g., a product identifier). For example, consumer node 116 can be configured to use the identifier to query the infrastructure environment (…). Figure 6B (Not shown in the image) to determine the distributed participant identifier associated with the identifier. Consumer node 116 can then use the determined distributed participant identifier to query the infrastructure environment to determine the provider node associated with the distributed participant identifier. Consumer node 116 can then query the determined provider node for access elements associated with the data received from ID reader 606. The provider node associated with the access element associated with such data received from ID reader 606 can respond with the distributed identifier associated with such access element. Consumer node 116 can be configured to use this distributed identifier to collect access elements. Consumer node 116 can provide the collected access elements to operating system 620, and operating system 620 can be configured to parse the access elements to determine access data associated with material data. Consumer node 116 can be configured to request such material data based on the access data determined by operating system 620. In response to a request received from consumer node 116, provider node 126 can be configured to collect material data from a dedicated storage device 610 associated with provider node 126. The collected characteristic data can be provided to consumer node 116. Provider node 126 can be configured to perform authentication and / or authorization steps on consumer node 116. After successful authorization and / or authentication, material data can be provided by provider node 126. Successful authorization may include signing an electronic contract. Characteristic data received from provider node 126 can be stored in a database (e.g., database 610) associated with the operating system chemical production 620.

[0221] Adjustment service 608 can use characteristic data stored in database 610 and predefined data stored in database 212 to determine adjustment data, such as Figure 6A and Figure 7 As described in the context. Adjustment data can be used to control mixer 626. Mixer 626 can be configured to mix materials 206 received from upstream participants based on adjustment data received from adjustment service 608. Mixing can result in a mixture that meets the chemical and / or physical properties required for the input materials to be used within chemical production 612.

[0222] Figure 7 A flowchart illustrating an example method for adjusting characteristic data associated with a material to be supplied to a chemical production facility, according to one embodiment of this disclosure, is shown. The material can be produced from one or more inputs entering the production process. Inputs may include waste materials, such as scrap materials. Inputs may include waste fractions generated by sorters, for example, such as... Figure 1 The context is described below. Inputs may include waste tires and / or waste plastic fractions. Materials may represent input materials used in chemical production 612. Chemical production may be a chemical production network comprising multiple interconnected processing steps, such as... Figure 6A The method can be described in the context of [the relevant context]. Figure 6A and Figure 6B The adjustment service 608 described in the context is implemented.

[0223] Numerical identifiers (e.g., digital material identifiers) associated with different batches of material can be provided (see box 702). Numerical identifiers may include, for example, those found in… Figure 6A and Figure 6B The material identifier is described in the context of the material. Numerical identifiers can be associated with or related to distributed identifiers associated with the material, such as... Figure 6A and Figure 6B As described in the context. Numerical identifiers can be provided from a database storing such numerical identifiers. Numerical identifiers can be associated with material condition data. Condition data can represent confirmation results associated with the confirmation of characteristic data, such as in... Figures 2A to 3 As described in the context. Confirmation may include a classifier indicating whether the characteristic data has been successfully confirmed. Status data may further represent the availability of materials for blending. Availability may include a classifier indicating whether the material has been sold to downstream participants. Numerical identifiers may be provided based on target status data. Target status data may include constraints regarding the availability of the material. For example, numerical identifiers may be collected based on target status data indicating that the material is "available" for blending.

[0224] Numerical identifiers can be provided based on identifier elements physically attached to the material. These identifier elements can encode the numerical identifiers. The identifier elements can be associated with or related to the numerical identifiers. Sensors (such as ID readers) can read these identifier elements and provide the determined data, for example, such as... Figure 6B The materials may include those present within the system boundary 614 of the chemical production 612. The materials may include those stored within the storage facilities of the chemical production 612. The materials may include those not yet consumed by the chemical production 612 to produce the chemical product 618.

[0225] Characteristic data can be collected for each provided numeric identifier (see box 704).

[0226] Characteristic data can be collected based on provided numerical identifiers. Characteristic data can also be collected from a database. The database can be associated with the system implementing this method. (See reference) Figure 6A In this context, the database can interact with execution. Figure 7 The method shown is associated with operating system 230. Characteristic data can be collected after the product is produced via production 204. Characteristic data can be collected via a distributed network, for example, as in... Figure 6B As described in the context. Characteristic data can be collected when the material enters chemical production 612 (e.g., at system boundary 614 of chemical production 612). Characteristic data can be associated with a corresponding batch of material. Characteristic data can represent the chemical and / or physical properties of the corresponding batch of material.

[0227] Target characteristic data can be provided (see box 706). Target characteristic data can be provided for each industrial process or operation. Target characteristic data can be stored in a database, such as database 212 (see...). Figure 6A , Figure 6BTarget characteristic data can be collected from such a database based on material identifiers and / or material type identifiers associated with the material. Target characteristic data can specify constraints or boundaries of one or more properties of the input material to be used by subsequent processing steps. Target characteristic data can specify constraints or boundaries of at least one chemical and / or physical property of the material that is critical to one or more processing steps performed on the material via chemical production 612. Chemical and / or physical properties critical to subsequent processing steps may hinder at least one subsequent processing step and / or at least one facility performing the subsequent processing step and / or the quality of the output product produced by at least one subsequent processing step. Chemical and / or physical properties critical to subsequent processing steps may relate to the subsequent processing and / or use of the output product obtained from such processing steps. Critical chemical and / or physical properties associated with a material (e.g., recycled material, particularly pyrolysis oil) may relate to further processing of such material, for example, in a steam cracking unit and / or syngas facility associated with downstream participants. Key chemical and / or physical properties associated with pyrolysis oil may include, but are not limited to, halogen content (such as chlorine content), contaminant content (such as Hg, Fe, Si, Zn, V, N), boiling point, distillation range, ash content, flash point, pour point, autoignition temperature, single-phase oil, density, calorific value, and / or corrosivity of the pyrolysis oil. Subsequent processing steps may include chemical, mechanical, and / or thermal treatment operations on materials used as input materials within the subsequent processing steps. Subsequent processing steps may involve inlet processes of chemical production 612, such as steam cracking, refining, syngas production, or partial oxidation. Subsequent processing steps may be connected to upstream recovery processes. Subsequent processing steps may be connected to the outlet point of a recovery system (such as mechanical recovery, chemical recovery, and / or thermal recovery systems). Subsequent processing steps may be associated with storage facilities or tank farms. Subsequent processing steps may be associated with mixing systems. Mixing systems may be associated with storage facilities or tank farms. Subsequent processing steps may be associated with the outlet process of the material stream from the mixing system.

[0228] Adjustment data can be determined (see box 708). Adjustment data may include numerical identifiers and associated quantity data related to different batches of material. The adjustment data may specify multiple different batches of material to be mixed by mixer 602. Multiple material batches may include two or more different material batches.

[0229] Adjustment data can be determined by identifying mixtures within constraints provided by predefined chemical and / or physical property data, based on collected characteristic data. Adjustment data can be generated based on the availability of material in different batches. Adjustment data can be generated based on the capability of subsequent processing steps. Adjustment data can be generated based on subsequent processing steps, the capability of subsequent processing steps, and / or the availability of different batches.

[0230] Adjustment data can be generated based on diluent data associated with the diluent. Diluents may include chemical compounds miscible with materials (e.g., input materials or raw materials), which reduce the concentration of one or more components contained within the material. Diluent data can be collected from databases. Diluent data can be collected if adjustment data within constraints or boundaries defined by target chemical and / or physical property data cannot be generated based on property data associated with different batches of material. Diluent data can be associated with the properties of one or more diluents, including fossil input materials or specific chemical compounds. Adjustment data can be generated based on the collected property data, target chemical and / or physical property data, and / or diluent data.

[0231] Adjustment data can be generated by determining weights for different material batches based on characteristic data and target characteristic data collected for each material batch. Generating adjustment data may include determining weights for each material batch based on characteristic data for each material batch. Generating adjustment data may also include determining weights for each material batch based on target characteristic data from multiple subsequent processing steps, wherein the adjustment data is provided for each subsequent processing step. The weighted sum of at least a portion of the characteristic data points included in the characteristic data for each material batch may be less than or equal to at least a portion of the data points included in the target characteristic data for at least one subsequent processing step. Adjustment data may include the proportion of each material batch and an associated numerical identifier.

[0232] Mixture data can be generated based on the full set or a subset of the collected property data. For example, the collected properties can be examined with respect to the properties provided for each digital identifier and the properties specified by the target property data for each subsequent processing step. Digital identifiers related to the properties specified by the target property data for each subsequent processing step can be selected for the adjustment data. Digital identifiers related to the specified properties required according to the target property data for each subsequent processing step can be selected for the adjustment data. In this way, unsuitable materials represented by inappropriate property data or incomplete datasets can be ignored from the adjustment data, making the method more reliable and accelerating mixture generation. In other words, the property data can be verified with respect to the properties provided for each digital material identifier. This verification may include matching the properties specified for each digital material identifier with the target chemical and / or physical property data for each subsequent processing step. For adjustment data generation, digital material identifiers related to the specified properties required according to the target chemical and / or physical property data for each subsequent processing step can be verified and selected.

[0233] Different methods and options exist for generating adjustment data. Adjustment data can be generated based on scoring methods, optimization methods, physicochemical modeling methods, data-driven modeling methods, and / or hybrid methods combining physicochemical and data-driven modeling.

[0234] The scoring method may include determining a score for each material batch and each subsequent processing step. For scoring, characteristics required for subsequent processing steps can be selected and optionally prioritized. The score for each material batch may include determining a score for each characteristic of the material batch and a perspective characteristic specified by target characteristic data, which measures the distance between the material batch's characteristic and the corresponding target characteristic specified by target chemical and / or physical characteristic data. Based on the score for each characteristic, a cumulative and optionally normalized score can be determined for each digital material identifier and subsequent processing step. Each characteristic score may further include a penalty depending on the relevance of the specific characteristic to the subsequent processing step (e.g., whether the characteristic is required or optional). Based on the penalized score, a cumulative score can be determined. Based on the cumulative score, material batches suitable for subsequent processing steps can be selected for mixing. These scores can be normalized, for example, to a relative percentage scale.

[0235] The optimization method may include determining the weighting of each material batch based on the characteristics of each digital material identifier, either according to or under constraints of target characteristic data. "According to or under constraints of target characteristics" refers to a weighted sum of at least a portion of the characteristics of material batches that at least partially meet the target characteristics of the feed required for at least one subsequent processing step. Based on the weights, materials suitable for subsequent processing steps and the amounts of material batches determined by the weights can be selected for mixing. Mathematically, the objective function or cost function can be minimized under the defined constraints:

[0236]

[0237] in, and

[0238] The default value is

[0239] Output: Weight vector

[0240] Indicates the chemical and / or physical properties of a batch of material samples.

[0241] Indicates material batch sample

[0242] Matrix of chemical and / or physical properties of material batch samples

[0243] : A vector of permissible properties in the mixture based on target chemical and / or physical property data.

[0244] Output:

[0245] The proportion of each batch of materials used to generate the mixture.

[0246] Physicochemical modeling methods may include determining adjustment data using first-principles calculations to determine the properties of material mixtures based on the characteristics of each material batch. Data-driven methods may include determining adjustment data by feeding the characteristics of each material batch into a data-driven model parameterized based on historical data, including adjustment data, target chemical and / or physical property data, and material batch characteristic data, such as the characteristics of each material batch.

[0247] Additionally or alternatively, hybrid or multi-standard methods can be used to determine the adjustment data. In addition to the characteristics of each material batch, any method used to generate adjustment data, as outlined herein, may include further parameters such as the availability of each material batch.

[0248] The adjustment data may include machine-readable instructions for monitoring and / or controlling the preparation of mixtures by mixer 602 based on the adjustment data. The adjustment data may relate to instructions for preparing mixtures by mixer 602.

[0249] Adjustment data can be provided for monitoring and / or controlling the mixer 602 that generates mixtures based on the received adjustment data. The adjustment data can be provided to the operator, for example via a display, for monitoring and / or controlling the mixer 602. The adjustment data can be provided to a monitoring and / or control interface of the mixer 602. The adjustment data may include monitoring and / or control instructions specifying the mixing operations for producing the mixture.

[0250] Figure 8A and Figure 8B An example system for monitoring one or more substances critical to the production of an output product from one or more input materials provided to a production facility is illustrated according to one embodiment of this disclosure. These input materials may be produced by the production facility as material 206, for example, as in... Figures 2A to 2C As described in the context. These systems can be configured to perform Figure 9 The method presented. Input materials can be recycled materials. Input materials can be associated with digital assets and, optionally, digital credentials related to one or more substances that are key to producing output products from such input materials.

[0251] Production 204 can produce one or more materials 206 from one or more production inputs 202. Production 204 can be associated with recycler 112. Production 204 can produce material 206, such as... Figures 2A to 2C As described in the context. Material data associated with the produced material 206 can be generated, for example, such as... Figures 2A to 2C The generated material data can be provided to an acknowledgment service 114 configured to acknowledge the received material data, as described in the context. The acknowledgment service 114 can acknowledge the received material data, such as... Figures 2A to 3 As described in the context.

[0252] like Figure 8A As shown in A, it is confirmed that service 114 may be part of the operating system used in production 204 (see [reference]). Figure 2A The confirmation service 114 can be associated with production 204. Upon successful confirmation of the received material data, the confirmation service 114 can provide the generated digital assets and associated digital credentials to the access element generator 802. The generated digital assets include a digital identifier associated with the material and at least a portion of the confirmed material data. In the event of partial confirmation (e.g., when only characteristic data is confirmed), the confirmation service 114 can provide the generated digital assets to the access element generator 802.

[0253] and Figure 8A In comparison, the confirmation service 114 can be Figure 8B This is part of the distributed network 134. A distributed network can be as follows: Figure 1 The context describes a distributed network. Upon successful confirmation of received material data, confirmation service 114 can provide the generated digital assets and associated digital credentials to access element generator 802 via distributed network 134. The generated digital assets include a digital identifier associated with the material and at least a portion of the confirmed material data. In the event of partial confirmation (e.g., when only characteristic data is confirmed), confirmation service 114 can provide the generated digital assets to access element generator 802. Confirmation service 114 can provide such data to a distributed data consumption network node 126B associated with the entity operating access element generator 802 via associated distributed data providing network node 128A. Distributed data consumption network node 126B receiving the data can be connected to access element generator 802 and can be configured to provide such received data to access element generator 802.

[0254] Access element generator 802 can be associated with production 204. Access element generator 802 can be part of the operating system of production 204. Access element generator 802 can be coupled to or associated with the operating system of production 204. Access element generator 802 can be configured to generate access elements associated with digital assets and digital credentials. Examples of access elements generated by access element generator 802 are shown in... Figure 10 and Figure 11 It is displayed in the middle.

[0255] refer to Figure 9Data related to the production of input materials can be collected. This data can be collected by the production data collector 804 of the access element generator 802. Data associated with the production of materials may include digital assets and optionally associated digital credentials received from the verification service 114. These digital assets and optionally associated digital credentials may be received via a decentralized network 134. Data associated with the production of materials may include digital material identifiers, production data associated with material 206, emission data associated with material 206, material declaration data, material safety data, recyclable content data associated with the recyclable content of material 206, bio-based content data associated with the bio-based content of material 206, renewable content data associated with the renewable content of material 206, or a combination thereof. Production data may relate to the production of material 206. Production data may include monitoring and / or control data associated with the production of material 206. Production data may be collected by one or more sensors. Production data may be collected before, during, and / or after the production of product 206. Emissions data may include any data related to the environmental footprint. The environmental footprint may refer to a specific material 206 and its associated environmental footprint. Emissions data may include data related to the carbon footprint or product carbon footprint (PCF) of material 206. Emissions data may include data related to greenhouse gas emissions, such as those released during the production of chemical products. Emissions data may include data related to greenhouse gas emissions. Greenhouse gas emissions may include, for example, emissions of carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), sulfur hexafluoride (SF6), nitrogen trifluoride (NF3), and combinations thereof, as well as other emissions. Emissions data may include data related to greenhouse gas emissions generated by the entity or company's own operations (production, power plants, and waste incineration). Scope 2 may include emissions generated from the production of energy supplied externally. Scope 3 may include all other emissions generated along the value chain. Specifically, this may include greenhouse gas emissions generated from raw materials obtained from suppliers. A product carbon footprint (PCF) can be the sum of greenhouse gas emissions and removals resulting from consecutive and interrelated process steps associated with a specific material 206. A cradle-to-gate PCF can be an aggregation of greenhouse gas emissions based on selected process steps: for example, from resource extraction to the product leaving the company's plant gate. This type of PCF can be referred to as a partial PCF. To achieve this aggregation, each company providing any product can provide scope 1 and scope 2 contributions to the PCF generated by each of its products.

[0256] Continue to refer to Figure 10One or more decentralized identifiers can be provided associated with materials. These decentralized identifiers can be provided by a decentralized ID provider 806 of the access element generator 802. The decentralized ID provider 806 can be configured to generate and provide one or more decentralized identifiers associated with materials and digital assets. The decentralized ID provider 806 can be configured to generate and provide one or more decentralized identifiers associated with materials and digital credentials. The decentralized identifiers may include unique identifiers that uniquely associate the material with its producer and the material itself. The decentralized identifiers may include one or more Universally Unique Identifiers (UUIDs) or one or more Digital Identifiers (DIDs). The decentralized identifiers may include authentication information. Through the decentralized identifiers and their unique association with the material's producer and the material, the material's producer can control access to digital assets and associated digital credentials.

[0257] A distributed ID provider 806 can be configured to collect existing distributed digital twin identifiers associated with a digital twin of a material. A digital twin of a material can be a digital representation of a physical entity of the material, carrying a semantic description defining the physical entity. Therefore, a digital twin of a physical entity of a material is a digital version of that physical entity. Once created, a digital twin can be used to represent a physical entity of a material in a digital representation of a real-world system. A digital twin can be uniquely linked to a physical material, at least via a distributed digital twin identifier. A digital twin can be created such that it is identical in form and behavior to the corresponding material. Furthermore, a digital twin can reflect the characteristics of a material throughout its lifespan. For example, a sensor can capture real-time (or near real-time) data from a physical material, such as transportation or usage data, to relay it back to a remote digital twin. The digital twin can then be updated to maintain its correspondence with the physical entity of the material. Therefore, a digital twin can represent the current state of a physical entity of the material at any given time. A digital twin can contain a distributed digital twin identifier. The distributed digital twin identifier can be associated with the physical entity of the material to which the digital twin is associated. A distributed digital twin identifier can be associated with the physical entity of the material for which the digital twin is generated. A distributed digital twin identifier can be associated with a distributed identifier used for production inputs in the production of the material. A distributed digital twin identifier can be, or can be assigned to, a physical identifier linked to the material. The physical identifier can be any identifier used for the produced material, such as a batch number and / or LOT number. The physical identifier can include passive or active elements, such as, but not limited to, barcodes, QR codes, RFID tags. The physical identifier can include markings embedded in the material or a similar physical arrangement that allows for digital identification of the material. The digital twin can further include a digital material identifier. The digital twin can include material data. The material data can include at least a portion of data associated with production. The material data can include digital assets and / or digital credentials. The digital twin can include one or more datasets. A dataset can represent a portion of the material data. The dataset can include digital assets provided by verification service 114. The dataset can include digital credentials provided by verification service 114.

[0258] Continue to refer to Figure 10Access data associated with digital assets and optionally associated digital credentials can be provided. Access data can be provided by access data generator 808 of access element generator 802. Access data generator 808 can be configured to generate access data associated with digital assets and / or digital credentials included in production-related collected data for material 206 produced by production 204. Access data can be generated for each digital asset and each digital credential. Access data may include a locator or pointer to a dedicated storage address associated with or accessible by the data owner of the digital asset and digital credential. Access data may further include a material identifier. The material identifier may relate to or correspond to a physical identifier physically attached to the material. For example, access data may include a batch number and / or LOT number physically attached to the material. This can allow querying of access elements to a distributed network based on the physical identifier physically attached to the material, such as... Figure 12 The data owner can be the entity operating production 204. The data owner can be the producer of material 206. A dedicated storage device can be associated with or accessible by the data owner. The data owner can control access to digital assets and digital credentials associated with the corresponding access data. Pointers or locators can directly point to the dedicated storage address. Pointers or locators can point to the data providing network node associated with the dedicated storage device. This improves data security because the dedicated storage address is not published to other participants in the decentralized network, thus avoiding the risk of direct access to the dedicated storage device without access control via the decentralized data providing network node. Digital representations can include one or more digital links pointing to state data. Access data can include locators or pointers, such as URLs or URIs, pointing to a dedicated storage address associated with the material producer and storing digital assets and digital credentials.

[0259] Continue to refer to Figure 10 This can generate digital access elements that include the provided distributed identifier and access data. See also... Figure 10The generated access data can be used to update existing access elements in the decentralized registry 812. Such existing access elements can be identified using the provided decentralized identifier. Digital access elements can be associated with a physical entity of a material. For example, a digital access element may include a material identifier associated with or included in a physical identifier physically attached to the material. Access elements can be generated by access element generator 810 of access element generator 802. Access element generator 802 can be configured to update access elements associated with a material and already existing in (e.g., stored in) the decentralized registry 812. Updating may include adding or updating access data generated by access data generator 808 to existing access elements. Access data can be added by determining access elements associated with a material based on a mapping between the decentralized digital twin identifier included in the access element and the decentralized digital twin identifier associated with the corresponding material. Access elements can be generated for each dataset included in the digital twin. For example, access elements can be generated for each digital asset associated with the material and each digital credential associated with the material. Access elements can be generated for multiple datasets included in the digital twin of the material. For example, access elements can be generated for digital assets and associated digital credentials included in the digital twin of the material. Access elements can include provided decentralized identifiers and access data. Access elements can involve authorization rules that grant access to the digital assets and associated digital credentials based on participant identifiers associated with participants in the decentralized network. Access elements can be provided for one or more data-consuming network nodes associated with one or more material consumers performing one or more industrial operations using the material as input material to access the digital assets and digital credentials based on the participant identifier. Thus, access to sensitive data related to the properties of the produced material 206 can be limited to specific network nodes associated with the data access, such as chemical product producer 102.

[0260] Continue to refer to Figure 10The generated access elements can be provided to a decentralized network for access by one or more participants in the network. Access elements can be provided by access element generator 810 to decentralized registry 812. Decentralized registry 812 can be associated with a decentralized data providing network node (e.g., node 126B) associated with the producer of material 206. The decentralized registry can be associated with, or controlled by, the data owner of the data associated with the access elements stored in such registry. For example, the decentralized registry can be associated with, or controlled by, the data owner of the digital assets and digital credentials associated with the access elements stored in such registry. The data owner can be the material producer. Access elements can be accessed by other participants in the decentralized network (e.g., chemical product producer 102) via associated decentralized data consuming network nodes, for example, such as... Figure 12 As described in the context of [the previous sentence]. Access to such a registry can be controlled by the data owner via associated distributed data provisioning network nodes. This contrasts with distributed networks based on distributed ledger technology (DLT), in which the distributed ledger, acting as a distributed registry, is replicated across multiple network nodes, such that access to each copy of the distributed ledger is no longer controlled by the data owner of the data stored in that distributed ledger. Access elements stored within the distributed registry 812 can be queried by the distributed data consuming network nodes via associated distributed data provisioning network nodes. Queries can be performed based on the query data. The query data may include physical identifiers physically attached to the material, such as [examples of physical identifiers]. Figure 12 As described in the context.

[0261] Access to access elements stored in the distributed registry 812 can be controlled by distributed data providing nodes (such as node 126B) associated with the distributed registry 812. For example, only predefined distributed data consuming network nodes can query the distributed registry 812. Such predefined distributed data consuming network nodes can be predefined via associated distributed participant identifiers.

[0262] Figure 10 Examples of digital access elements, including DID owner data, DID document data, and decentralized identity infrastructure, are shown.

[0263] Distributed identifiers may include Distributed Identifiers (DIDs). In this case, the digital access element based on the distributed identifier may be a DID document 1004 associated with the DID. In addition to the DID document 1004 used as a digital access element, Figure 10Also shown is a DID owner data element 1002 including owner data based on a decentralized identifier. Typically, owner data based on a decentralized identifier can include a decentralized identifier associated with a subject (such as a chemical product dataset) and can include one or more authentication mechanisms. Owner data based on a decentralized identifier 1002 can include owner data electronically owned and controlled by the DID owner. In this context, electronic ownership can refer to data stored in an owner's repository or wallet. This data can be securely stored and / or managed on an organization's server or client device. Owner data based on a decentralized identifier 1002 can include a DID, a private key, and a public key. The DID owner can own and control the DID representing the identity associated with the DID subject, and the private and public key pair associated with the DID. A DID can be understood as an identifier and authentication information associated with or uniquely linked to that identifier.

[0264] A DID (Digital Intake) entity can be a material used as a production input within subsequent industrial operations. A DID entity can be a machine, system, or equipment used to produce the input material, or a collection of such machines, equipment, and / or systems. A DID owner can be a supply chain participant or manufacturer, such as a chemical manufacturer that produces chemicals. A DID owner can be an upstream participant of chemical producer 102, such as a supplier that provides raw chemical products or precursors used to produce machine fluids. A DID owner can be a downstream participant of chemical producer 102, such as a customer who consumes the chemical product to produce intermediate products, components, component assemblies, or final products. A DID owner can be any participant in the product ecosystem, including raw material chemical suppliers, intermediate chemical manufacturers, intermediate part manufacturers, component manufacturers, component assembly manufacturers, final product manufacturers, final product users, maintenance operation performers, EOL (Excess Oil) collectors, or recyclers.

[0265] A DID can be any identifier associated with the DID subject and / or the DID owner. Preferably, the identifier is unique to the DID subject and / or the DID owner. The identifier can be unique at least within the scope of the intended use of the DID. The identifier can be: a locally or globally unique identifier for the input material; a machine, system, or equipment used to produce the input material, or a collection of such machines, equipment, and / or systems; an entity that produces the input material, or a collection thereof.

[0266] A DID can be any identifier associated with a DID subject and a DID owner. Preferably, a DID is unique to both the DID subject and / or the DID owner. A DID can be unique at least within the scope of its intended use. A DID can be a locally or globally unique identifier for any of the aforementioned possible DID subjects. A DID can also be a Uniform Resource Identifier (URI), such as a Uniform Resource Locator (URL). Furthermore, a DID can be an Internationalized Resource Identifier (IRI). A DID can be a random string of numbers and letters to improve security. In one embodiment, a DID can be a 128-letter string of letters and numbers, for example, according to the scheme `did:methodName:methodSpecificDID`, such as `did:example:ebfeb1f712ebc6f1c276e12ec21`. A DID can be a decentralized ID independent of a centralized third-party management system and under the control of the DID owner.

[0267] The digital access element of DID document data 1004, as part of the DID document data, can be associated with a DID (i.e., the DID included in the owner data 1002 based on a distributed identifier). Therefore, the digital access element can include a reference to a DID associated with the DID subject described by DID document data 1004. DID document 1004 can also include authentication information such as a public key. The public key can be used by a third-party entity granted access to information and data owned by the DID owner / subject. The public key can also be used to verify whether the DID owner actually owns or controls the DID. The DID document can include authentication information and authorization information, for example, to authorize a third-party entity to read the DID document or certain portions of the DID document, without granting the third party the right to prove ownership of the DID.

[0268] Digital access element 1004 may include one or more representations that are digitally linked, for example, via a service endpoint to digital twin data included in the digital twin associated with the digital access element. The service endpoint may include a network address that runs a service on behalf of the DID owner. Specifically, the service endpoint may refer to a service provided by the DID owner to access the digital twin data, such as a data service. This service may include services for reading or analyzing data contained in the digital twin data. The data contained in the digital twin data may include chemical product declaration data, chemical product safety data, analytical certificate data, emissions data, product carbon footprint data, product environmental footprint data, chemical product specification data, product information, technology application data, production data, chemical composition data, or combinations thereof.

[0269] Digital access element 1004 may include additional identifiers, such as distributed digital twin identifiers and input material identifiers.

[0270] The digital access element 1004 may include various other information, such as metadata specifying the creation time of the digital access element, the last modification time of the digital access element, and / or the expiration time of the digital access element.

[0271] DID and digital access element 1004 can be associated with data registration nodes, such as a centralized data service system or a decentralized data service system 1006 (e.g., a distributed ledger, blockchain, or decentralized file system). The distributed ledger or blockchain can be used to store a representation pointing to the DID of digital access element 1004. The representation of the DID can be stored on distributed computing nodes of the distributed ledger or blockchain 1006. For example, a DID hash can be stored on multiple computing nodes of the distributed ledger and point to the location of digital access element 1004. In some embodiments, digital access element 1004 can be stored on the distributed ledger 1006. Each of the computing nodes can store a copy of the distributed ledger 1006. This allows for redundant storage of each DID hash, thereby improving data security. DIDs associated with multiple different digital access elements 1004 can be included in the distributed ledger 1006.

[0272] In some embodiments, the digital access element 1004 may be stored on the distributed ledger 1006, i.e., as a supplement to or alternative to storing the associated DID representation on the distributed ledger 1006. In other embodiments, the digital access element 1604 may be stored in a data storage device (not shown) associated with a distributed ledger, blockchain, or decentralized file system.

[0273] The distributed ledger or blockchain 1006 can be any decentralized distributed network comprising various computing nodes communicating with each other. For example, the distributed ledger 1006 may include a first distributed computing node, a second distributed computing node, a third distributed computing node, and any number of additional distributed computing nodes (not shown). The distributed ledger or blockchain 1006 may include known technology stacks such as Bitcoin (see, for example, the Bitcoin documentation published November 11, 2022, https: / / en.bitcoin.it / wiki / Protocol_documentation), Ethereum (see, for example, the Ethereum documentation published August 15, 2022, at https: / / ethereum.org / en / developers / docs / ), Solana (see, for example, the Solana documentation published November 11, 2022, at https: / / spl.solana.com / ), Polygon (see, for example, the Polygon documentation published November 11, 2022, at https: / / wiki.polygon.technology / ), or other implementations that perform data transactions to varying degrees on the distributed ledger. The description of the example framework is for illustrative purposes only and should not be considered limiting.

[0274] Figure 11 A second example of a digital access element, including a decentralized identifier and access data, is shown. The digital access element can be stored within a decentralized registry associated with participants in the decentralized network, such as... Figure 8A and 8B The distributed registry 812. Access elements stored in this distributed registry can be retrieved by network nodes using distributed identifiers via associated distributed data.

[0275] A decentralized identifier may include one or more Universally Unique Identifiers (UUIDs). A decentralized identifier may include a first decentralized identifier and a second decentralized identifier. The first decentralized identifier and the second decentralized identifier may be different from each other. The first decentralized identifier may represent a decentralized identifier associated with the digital twin of the input material, while the second decentralized identifier may represent a decentralized identifier associated with a dataset (e.g., an aspect, such as a digital asset or digital certificate) contained in the digital twin. The input material may be recycled material. The input material may be any material used by downstream participants in the value chain to produce additional output products. Access elements may be as follows: Figure 8A and 8B It is generated as described in the context.

[0276] A UUID can be unique, at least within the scope of its intended use. A UUID can be a locally or globally unique identifier for raw materials, base substances, chemical products, components, final products, or recycled materials. In one embodiment, a UUID can be a 128-letter string of letters and numbers, for example, according to the scheme [0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}. A UUID can be a decentralized ID independent of a centralized third-party management system and under the control of the data owner who owns the data associated with the UUID.

[0277] The numeric access element 1102 based on a distributed identifier can be a JSON data structure that includes a distributed identifier. The JSON data structure can include one or more key-value pairs. The JSON data structure can include one or more arrays. At least a portion of these arrays can include one or more objects. Objects can include one or more key-value pairs.

[0278] Digital access element 1102 may include access data, such as aspects, digitally linked to data associated with the digital access element via a service endpoint. The service endpoint may include a network address running a service on behalf of the data owner. Specifically, the service endpoint may refer to a service that grants access rights to product data (such as compositional data associated with a final product or its components) granted by the data owner, such as a distributed data delivery network node. This service may include services for reading or analyzing data contained within the product data.

[0279] The digital access element 1102 may include various other information, such as metadata specifying the creation time of the digital access element, the last modification time of the digital access element, and / or the expiration time of the digital access element. Figure 11 (Not shown in the image).

[0280] Digital access element 1102 can be stored at a data registry node, such as a distributed registry (not shown, see example). Figure 8A and 8B Example distributed registry 812). A distributed registry can be a distributed database. A distributed database can be associated with the data owner of the digital twin. A distributed registry can be used to store digital access elements, such as digital access element 1102.

[0281] Figure 12An example system for monitoring and / or controlling the production of an output product from one or more input materials via chemical production, according to one embodiment of this disclosure, is illustrated. Input materials may include input materials having a recycled content, a bio-based content, or a renewable content. Input materials may include recycled input materials, bio-based input materials, or renewable input materials. Input materials may be produced by an upstream participant of the entity producing the output product. Input materials may be as follows: Figures 2A to 2C Produced as described in the context. Figure 12 The system shown can be used for implementation Figure 13 The method shown.

[0282] Input material 206 produced by upstream participants can be provided to the system boundary 614 of chemical production 612 in association with a digital access element. Input material 206 provided to chemical production 612 can be associated with a digital access element. The digital access element can be, as in... Figures 8A to 9 The process is generated as described in the context. Chemical production 612 can be operated by chemical product producer 102. The input material 206 can be stored in a tank before being used as a production input within chemical production 612. The received material 206 can be associated with input material data. The input material data can represent at least a portion of a digital twin of the physical entity of the input material, such as... Figure 8A and Figure 8B As described in the context. Input material data may include digital assets and digital credentials. Input materials may include digital assets and digital representations including digital credentials. Reference Figure 5C and Figure 5D The digital credential presentation 510 may include digital credential presentation data 512 and one or more digital credentials 502, such as Figure 5A and Figure 5B As shown in the diagram. Digital credential presentation 510 may further include proof data 520 as described above. Digital credential presentation data 512 may include key-value pairs representing a presentation identifier and a presentation type, for example, as... Figure 5D As shown in the diagram. Digital credential presentation 512 may include one or more digital credentials, such as... Figure 5B The digital certificate shown within the verifiableCredential property (see [link]). Figure 5DDigital credential presentation can be generated by selecting a digital credential associated with the material and / or the material producer and generating a digital credential presentation based on the selected digital credential. The digital credential associated with the material producer may include a digital credential demonstrating at least partial compliance with a predefined set of rules not defined by the material consumer. This predefined set of rules may be defined by governments, standards organizations, certification bodies, etc. This predefined set of rules may include regulations that an entity requesting certification under regulations needs to meet. For example, a digital credential demonstrating at least partial compliance with a predefined set of rules may include a digital credential demonstrating at least partial compliance with ISCC standards or ISCC+ standards, Forest Stewardship Council (FSC) standards, Forest Certification and Accreditation Scheme (PEFC) standards, Global Organic Textile Standards (GOTS), Sustainable Forestry Initiative (SFI) standards, and / or Sustainable Palm Oil Roundtable (RSPO) standards.

[0283] Digital assets and digital certificates can be like Figures 2A to 2C The input material data may be generated as described in the context. The input material data may be stored in a dedicated storage device 1212 associated with or accessible to the data owner (e.g., recycler 112). The dedicated storage device may be accessed by a distributed data providing network node (e.g., node 126B) associated with the data owner. The distributed data providing network node may be a distributed network (e.g., in...) Figure 1 This is part of the distributed network described in the context of 134.

[0284] Input material data can be accessed via access elements associated with such input material 206. When input material 206, provided by an upstream participant, enters chemical production 612, ID reader 606 can be configured to read identification elements physically connected to input material 206. The data acquired by ID reader 606 can be used by a data consumption service (such as consumer node 116) associated with the entity operating chemical production 612 to collect input material data. Consumer node 116 can be configured to determine the provider node associated with the producer of the input material associated with such input material identifier based on an identifier (such as an input material identifier included in the data acquired by ID reader 606). For example, consumer node 116 can be configured to query the infrastructure environment of distributed network 134 using the input material identifier. Figure 6B (Not shown in the image) to determine the distributed participant identifier of the data provider associated with the input material identifier. Consumer node 116 can then use the determined distributed participant identifier to query the infrastructure environment to determine the endpoint of the provider node associated with the distributed participant identifier.

[0285] Operating system 620 can be configured to generate query data to query distributed registries associated with the obtained endpoints, such as distributed registry 812 (see [link to relevant documentation]). Figure 8A The query data may include data related to a specific aspect of the digital twin (e.g., a dataset). Specific assets may include assets associated with digital assets or digital certificates. Assets may be included in the digital twin of input material 206. Data associated with a specific aspect may include key-value pairs defining that aspect in access elements associated with and stored within the decentralized registry. Operating system 620 may be configured to generate a request for collecting decentralized identifiers associated with the input material. The request may include at least a portion of the received endpoints and query data. The request may be provided to consumer node 116. Consumer node 116 may be configured to query the decentralized registry of decentralized network 134 in response to a request from operating system 620. The query may include query data and decentralized participant identifiers associated with consumer node 116. Consumer node 116 may be configured to send such queries to endpoints included in the request received from operating system 620. These queries may be authenticated. Such authentication may be based on data related to an authentication mechanism. The authentication mechanism can be based on certificates and / or tokens associated with the corresponding distributed participant nodes (e.g., consumer node 116 and provider node 126B), such as device certificates (X.509v3), TLS connection certificates (X.509v3), and 'dynamic attribute tokens' (OAuth access tokens). If authentication fails, the corresponding data provider may not provide data.

[0286] A provider node can be configured to query the associated distributed registry 812 to determine whether the associated distributed registry 812 includes a distributed identifier associated with query data contained in a query from consumer node 116. If authentication is valid, this query can be executed. A provider node that does not have the determined distributed identifier associated with the query data can send a corresponding response to consumer node 116. A provider node that does not have the determined distributed identifier associated with the query data can not send any response to consumer node 116. A provider node 126B that has the determined distributed identifier associated with the query data can provide usage data associated with the distributed identifier to consumer node 116. The usage data may include one or more authorization rules associated with the distributed identifier. The usage data can be provided to operating system 620. Operating system 620 can parse the received usage data to determine authorization rules. The determined authorization rules can be provided to the user to obtain consent. Operating system 620 can be configured to automatically accept authorization rules included in usage data provided by predefined provider nodes. Operating system 620 can provide consumer node 116 with data indicating acceptance of such authorization rules, such as a token. If the authorization rule is not accepted, the operating system 620 can also forward data indicating the rejection of the authorization rule to the consumer node 116. The consumer node 116 can then forward this data to the provider node 126B. Upon rejection of the authorization rule, the provider node 126B can terminate the connection and may not provide any data. The use of the data ensures that the consumer node 116 and the other system handling the data (such as the operating system 620) comply with at least one authorization rule associated with the transmitted data.

[0287] Provider node 126B, possessing a distributed identifier associated with the queried data, can provide such a distributed identifier to consumer node 116. This identifier can be provided upon acceptance of the provided authorization rules. Consumer node 116 can provide the received distributed identifier to operating system 620. Upon receiving the distributed identifier, operating system 620 can be configured to generate a request for collecting access elements associated with at least a portion of the received distributed identifier. This request may include the corresponding distributed identifier. This request can be provided to consumer node 116. Consumer node 116 can be configured to request the corresponding access element from provider node 126B, which has already provided the distributed identifier in response to the query. The request to the corresponding provider node 126B may include the distributed identifier and a distributed participant identifier associated with consumer node 116. Upon receiving the request, provider node 126B can collect access elements from the associated distributed registry 812 based on the distributed identifier included in the received request. The collected access elements can then be provided to consumer node 116. Consumer node 116 can provide the received access elements to operating system 620. Operating system 620 can store access elements in a storage device associated with operating system 620.

[0288] Operating system 620 can be configured to parse received access elements (e.g., received access element data). Access elements may include a distributed identifier and associated access data, such as in... Figure 8A and Figure 8B As described in the context above. Operating system 620 can be configured to match aspect data contained in received access elements with data provided by ID reader 606 (such as an input material identifier) ​​to determine a distributed identifier that matches the input material identifier and associated access data. Upon determining a match, a corresponding request can be generated to retrieve the aspect associated with such a distributed identifier. This request may include the distributed identifier and associated access data. This request can be forwarded to consumer node 116. Consumer node 116 can generate a request to collect input material data from the corresponding provider node. This request may include the distributed identifier included in the request received from operating system 620 and the distributed participant identifier associated with consumer node 116. This request can be sent by consumer node 116 to an endpoint defined in the access data. Consumer node 116 and provider node 126B can be authenticated as previously described.

[0289] Provider node 126B can determine whether consumer node 116 is authorized to access the requested input material data. Provider node 126B can match the distributed participant identifier provided by consumer node 116 with the access rules associated with the corresponding input material data. The access rules can define consumer nodes allowed to access the input material data via the associated distributed participant identifier. This allows filtering of consumer nodes requesting access to such input material data based on the associated distributed participant identifier, thereby improving security to ensure that unauthorized consumer nodes cannot access the input material data. When it is determined that consumer node 116 is authorized to access the input material data, provider node 126B can provide consumer node 116 with usage data associated with such input material data, as previously described. Provider node 126B can collect the requested input material data from storage device 1212 based on the distributed identifier received from consumer node 116. Input material data can be collected upon acceptance of an authorization rule included in the provided usage data. If the authorization rule is not accepted, the peer communication channel can be terminated, and input material data can be withheld.

[0290] Provider node 126B can apply one or more authorization rules associated with the input material data to the input material data. Authorization rules can define one or more rules for the data consumer node to use the input material data. After applying the authorization rules, the resulting input material data can be provided to consumer node 116. Consumer node 116 can forward the received data to operating system 620. The received input material data may include digital assets and digital credentials associated with the input material. The received input material may include digital assets associated with the input material.

[0291] Operating system 620 can be configured to store received input material data (e.g., digital assets and optionally digital credentials) in data storage device 1208. The input material data can be stored according to rules defined by the provided authorization rules.

[0292] Operating system 620 may include verification service 1204. Verification service 1204 may be configured to verify input material data associated with input material 206 provided to chemical production 612 and collected via distributed network 134, as previously described. Verification service 1204 may be configured to verify input material data collected via distributed network 134 and stored in database 1208. For this purpose, verification service 1204 may collect the input material to be verified from database 1208. Verification service 1204 may be configured to verify digital credentials included in the collected input material data. Verification service 1204 may be configured to verify digital credentials stored in database 1208. Verification service 1204 may include verification engine 1206. Verification engine 1206 may include target digital credential data for each input material or each input material type. Verification engine 1206 may be software or software component that applies one or more rules included in the target digital credential data to the digital credentials. Verification engine 1206 can operate on individual data points, multiple data points, and / or the entire input material data that exist within at least a portion of the input material data. A rule-based engine can be configured to match input material data (e.g., digital voucher data) with target digital voucher data associated with the input material or input material type. Target digital voucher data may include rules for individual data points, combinations of data points, data structures (e.g., digital vouchers), and / or the entire data contained in the collected input material data. Target digital voucher data may be associated with a given input material or a given input material type. Verification engine 1206 can be configured to determine target digital voucher data that matches the input material or input material type associated with the collected input material data. For example, verification engine 1206 can be configured to parse the collected input material data to determine attributes included in the contained digital vouchers and related to or associated with the input material or input material type. Based on these attributes, the corresponding target digital voucher data can be determined, for example, by matching these attributes with attributes included in the target digital voucher data.

[0293] Verification engine 1206 can be configured to generate verification results. Verification results may include classifiers. Verification results may include classifiers linked to the input material data processed by verification engine 1206. Classifiers may be binary classifiers representing verified and unverified digital credentials. Verification engine 1206 may associate corresponding classifiers with digital credentials processed by verification engine 1206, for example, by interconnecting the classifier with at least a portion of the digital credential data included in such digital credentials (e.g., a digital credential identifier). If the collected input material data satisfies one or more rules included in the corresponding target digital credential data, verification engine 1206 may classify the digital credential as "verified." If the collected input material data satisfies one or more mandatory rules included in the corresponding target digital credential data, verification engine 1206 may classify the digital credential as "verified." If the collected input material data does not satisfy one or more rules included in the corresponding target digital credential data, verification engine 1206 may classify the digital credential as "unverified." If the collected input data does not meet one or more mandatory rules included in the corresponding target digital voucher data, the verification engine 1206 can classify the digital voucher as "unverified".

[0294] The confirmation results generated by the confirmation engine 1206 can be provided to the control data generator 1210 of the operating system 620. The control data generator 1210 can be configured to generate control and / or monitoring data for controlling and / or monitoring the production of chemical product 618 from input material 206. The control data generator 1210 can be configured to generate control and / or monitoring data based on the confirmation results received from the confirmation engine 1206. The control data generator 1210 can be configured to generate control and / or monitoring data indicating the rejection of input material associated with unconfirmed input material data (e.g., input material data linked to the category "unconfirmed"). Based on this control and / or monitoring data, such input material can be rejected and may not be used in the production of chemical product 618 within chemical production 612. Such rejected input material can be transported back to a supplier, such as a recycler 112. Such rejected input material can be transported to an incineration facility configured to incinerate the material to generate energy, such as heat. Control data generator 1210 can be configured to generate control and / or monitoring data that indicates analytical instructions associated with analytical operations to be performed on the input material. Based on this control and / or monitoring data, one or more of these analytical operations can be performed to determine the actual chemical and / or physical properties of the input material. Control data generator 1210 can also be configured to generate control and / or monitoring data that indicates the acceptance of input material. Based on this control and / or monitoring data, the input material can be provided to a storage location of chemical production 612 and / or to one or more production processes performed within chemical production 612. This ensures that only reliable input material data that meets target specifications (e.g., target chemical and / or physical property data) is verified, thereby ensuring that the input material entering production meets the specifications required for the production steps performed within production. This avoids negative impacts on production due to insufficient quality of the input material (e.g., physical and / or chemical properties not matching the required specifications). Additionally, this ensures that the chemical and / or physical properties included in the digital assets associated with the input material are credible, thus allowing the use of such input material without any further analysis to ensure that the actual chemical and / or physical properties of the input material match those included in the collected input material data.

[0295] By using a rule-based engine, input materials can be verified against target digital credential data. This allows determination of whether the collected input material data contains digital credentials proving that at least a portion of the input material data conforms to target chemical and / or physical property data and target entity data. Digital credentials can prove that the chemical and / or physical property data included in the associated digital assets is credible, for example, conforming to the actual chemical and / or physical properties of the corresponding input material. Verifying the collected input material data allows ensuring that the associated input materials possess the chemical and / or physical properties required for processing within chemical production 612, thereby avoiding damage and reduced production yield during the production of chemical product 618, and allowing for more efficient production of chemical product 618 from input material 206 (e.g., recycled input material 206 with fluctuating chemical and / or physical properties).

[0296] Figure 13 A flowchart illustrating an example method for monitoring and / or controlling the production of an output product from one or more input materials through chemical production, according to one embodiment of this disclosure, is shown. Figure 13 The method shown can be derived from Figure 12 The system shown is used for implementation. For example, Figure 13 The method shown can be derived from Figure 12 The operating system shown is 620.

[0297] Input materials may include those with recycled, bio-based, or renewable content. Input materials may include recycled, bio-based, or renewable input materials. Input materials may be produced by upstream participants of the entity producing the output product. Input materials may be, for example... Figures 2A to 3 Production is carried out as described in the context. Input materials can be produced by upstream participants and can be provided to chemical production in association with digital access elements, for example, as... Figure 12 As described in the context. Input materials can be associated with identifier elements. Identifier elements can encode input material identifiers (such as batch numbers, LOT numbers, or combinations thereof).

[0298] A distributed identifier associated with the input material can be provided (see box 1302). The distributed identifier can be provided based on the input material identifier. The distributed identifier can be provided via a distributed network, for example, as in... Figure 12 As described in the context.

[0299] Input material data can be collected via a distributed network based on the provided distributed identifier (see box 1302). Input material data can be collected via a distributed network, such as in... Figure 12The context described above. The collected input data may include digital assets and, optionally, digital credentials. Digital assets and, optionally, digital credentials may be as follows: Figures 2A to 2C The data is generated as described in the context. The collected input material data can be stored in a data storage device, such as... Figure 12 As described in the context.

[0300] A rule-based engine can be used to validate at least a portion of the collected input material data (see box 1306). The rule-based engine can include target credential data for each type of input material or input material. The rule-based engine can be configured to validate at least a portion of the collected input material data, for example, such as... Figure 12 As described in the context. Rule-based engines can be configured to generate confirmation results, for example, such as... Figure 12 As described in the context. The confirmation result indicates whether the input material data has been successfully confirmed.

[0301] It can be determined whether the input material data has been validated (see decision box 1308). This may include parsing the validation results generated by the rules engine. If the input material data has been validated, monitoring and / or control data for producing the output chemical product can be generated (see box 1314). The monitoring and / or control data may include storage instructions for storing the input material associated with the validated input material data in a storage location for chemical production. The storage instructions may define the input material to be stored and the corresponding storage location. The storage instructions may include computer-executable instructions that allow the input material to be stored in the storage location based on such instructions. The monitoring and / or control data may include production data for producing the output chemical product or intermediate chemical product from the input material. The production data may include input material identifiers, input material quantities, process identifiers, production unit identifiers, job identifiers, or combinations thereof.

[0302] If the input material data is not validated, monitoring and / or control data can be generated to reject the input material or to perform analytical operations on the input material (see box 1310). The monitoring and / or control data may include rejection instructions for rejecting the input material. Rejection instructions may include instructions for transporting the input material to a supplier supplying such input material. Rejection instructions may include instructions for transporting the input material to an incineration facility. Rejection instructions may define the input material, transport data, and destination data. The monitoring and / or control data may include analytical instructions for analyzing the input material. Analyzing the input material may include performing one or more analytical operations on the input material as defined by the analytical instructions. Analytical instructions may allow determination of the actual chemical and / or physical properties of the input material.

[0303] The generated monitoring and / or control data can be provided (see boxes 1312, 1316). The generated monitoring and / or control data can be provided to a computing system that displays and / or executes instructions included in such monitoring and / or control data.

[0304] By using a rule-based engine, input materials can be verified against target digital credential data. This allows determination of whether the collected input material data contains digital credentials proving that at least a portion of the input material data conforms to target chemical and / or physical property data and target entity data. Digital credentials can prove that the chemical and / or physical property data included in the associated digital assets is credible, for example, conforming to the actual chemical and / or physical properties of the corresponding input material. Verifying the collected input material data allows ensuring that the associated input materials possess the chemical and / or physical properties required for processing within chemical production 612, thereby avoiding damage and reduced production yield during the production of chemical product 618, and allowing for more efficient production of chemical product 618 from input material 206 (e.g., recycled input material 206 with fluctuating chemical and / or physical properties).

[0305] Figure 14 An example system for monitoring and / or controlling at least one operation to be performed on materials supplied to chemical production, according to one embodiment of this disclosure, is illustrated. The materials may include materials having a recycled content, a bio-based content, or a renewable content. The materials may include recycled materials, bio-based materials, or renewable materials. The materials may be produced by an upstream participant of an entity that produces the output product. The materials may be as follows: Figures 2A to 2C Produced as described in the context. Figure 14 The system shown can be used for implementation Figure 16 The method shown.

[0306] Material 206 produced by upstream participants can be supplied to the system boundary 614 of chemical production 612. Material 206 supplied to chemical production 612 can be associated with a digital access element. The digital access element can be as follows: Figures 8A to 9 The material 206 is generated as described in the context. The received material 206 can be associated with material data. The material data can represent at least a portion of a digital twin of the physical entity of the material, such as... Figure 8A and Figure 8B As described in the context. Material data may include digital assets and optionally associated digital credentials. Digital assets and associated digital credentials may be as follows: Figures 2A to 3The material data may be generated as described in the context. The material data may be stored in a dedicated storage device 1410 associated with or accessible to the data owner (e.g., recycler 112). The dedicated storage device may be accessed by a distributed data provisioning network node (e.g., node 126B) associated with the data owner. The distributed data provisioning network node may be a distributed network (e.g., in...) Figure 1 This is part of the distributed network described in the context of 134.

[0307] Input material data can be accessed via an access element associated with such input material 206. When material 206, provided by an upstream participant, enters chemical production 612, ID reader 606 can be configured to read the identification element physically connected to material 206. The data acquired by ID reader 606 can be used by a data consumption service (e.g., consumer node 116) associated with the entity operating chemical production 612 to collect material data from data provider node 126B via a distributed network 134, for example, as... Figure 12 As described in the context, material data collected by consumer node 116 can be provided to operating system 620. Operating system 620 can be configured to store the received material data (e.g., digital assets associated with the material and optionally digital credentials) in data storage device 1402. Material data can be stored according to rules stipulated in a signed electronic contract.

[0308] Operating system 620 may include operation data generator 1404. Operation data generator 1404 may be configured to determine at least one operation (e.g., a target operation). This operation may include mixing and / or refining operations to adjust material property data to meet target property data. Alternatively or additionally, the operation may include incineration operations to incinerate the material or rejection operations to reject the material (e.g., to avoid using the material in a production process performed within a chemical production facility). Operation data generator 1404 may be configured to determine the target operation based on material data stored in database 1402 and candidate operation data and target property data stored in database 1406. Candidate operation data stored in database 1406 may be associated with candidate operations. Candidate operations may refer to operations that can be performed to refine materials (e.g., to adjust the chemical and / or physical properties of such materials, incinerate materials, and / or reject materials). Refining may include removing one or more substances present within the material. Refining may include mixing operations for adjusting properties. Candidate operation data may include an operation identifier for each candidate operation, a threshold for the characteristic data for each candidate operation, a material identifier or material type identifier for each candidate operation, and / or adjustment data for each characteristic data and each candidate operation. The threshold may be associated with an upper and / or lower limit included in the characteristic data. The threshold may be given for at least a portion of the characteristic data points included in the characteristic data. The threshold may be based on an upper or lower limit of the chemical and / or physical properties of the material that can be processed within the operation. The adjustment data may be associated with the degree of adjustment of the characteristic data achieved through the corresponding operation. The adjustment data may be given as a relative value. The adjustment data may be given for at least a portion of the characteristic data points included in the characteristic data. Operation data generator 1404 may be configured to determine adjusted characteristic data associated with the material processed within the corresponding operation based on the adjustment data and unconfirmed characteristic data. Operation data generator 1404 may be configured to compare the adjusted characteristic data with target characteristic data to select a target operation from the candidate operations associated with the candidate operation data. Operation data generator 1404 may be configured to determine the order of target operations when more than one target operation is selected. If such adjustment cannot be achieved by performing a single target operation, selecting more than one target operation allows for adjustments to the material's property data to meet target property data. The operation data generator 1404 can be configured to repeatedly determine target operations based on the adjusted property data generated by previous steps that determine the target operations.

[0309] The operation data generator 1404 can be further configured to generate and provide monitoring and / or control data based on the determined target operation.

[0310] refer to Figure 15The operation data generator 1404 may include a material data collector 1504. The material data collector 1504 may be configured to collect material data, for example, from a database 1402 storing such material data. The operation data generator 1404 may further include a control data generator 1506. The control data generator 1506 may be configured to determine a target operation, such as as previously described, and generate monitoring and / or control data based on the determined target operation. The target operation may be determined by a decision tree implemented in executable code executed by the control data generator 1506. An example of such a decision tree is given below.

[0311] If the chlorine content exceeds the chlorine content threshold defined in the target characteristic data of the material, but is lower than the chlorine content defined for the upgrade operation in the candidate operation data, the control data generator 1506 can select the upgrade operation as the initial target operation. The control data generator 1506 can determine adjusted chlorine content data based on adjustment data included in the candidate operation data, and can compare this adjusted chlorine content data with the target chlorine content data included in the target characteristic data (stored in database 1406). If the adjusted chlorine content data meets the target chlorine content data, the material can be represented as acceptable, the conditions can be represented as upgradeable, and the control data generator 1506 can select the upgrade operation as the target operation. The control data generator 1506 can then generate control data for upgrading the material. This control data may include a material identifier, an upgrade process identifier, and chlorine content data associated with the material. Control and / or monitoring data may further include the target chlorine content of the material. The control data can be provided to the node 1508 associated with the upgrade facility for upgrading the material. The upgrade can be performed using methods known in the prior art to remove chlorine, such as catalytic dechlorination using catalysts (e.g., iron oxide, iron oxide-carbon complexes, ZnO, MgO, and red mud). The success of the upgrade operation can be determined by measuring the chlorine content of the upgraded material. The upgrade operation can be performed until the chlorine content of the upgraded material is below a target threshold, such as a threshold included in the control data.

[0312] If the sulfur content exceeds the sulfur content threshold defined in the target characteristic data of the material, but is lower than the sulfur content defined for the upgrade operation in the candidate operation data, the control data generator 1506 can select the upgrade operation as the initial target operation. The control data generator 1506 can determine adjusted sulfur content data and compare this adjusted sulfur content data with the target sulfur content data included in the target characteristic data. If the adjusted sulfur content data meets the target sulfur content data, the material can be considered acceptable, the conditions can be considered upgradeable, and the control data generator 1506 can select the upgrade operation as the target refining operation. The control data generator 1506 can then generate control data for upgrading the material. This control data may include a material identifier, an upgrade process identifier, and sulfur content data associated with the material. Control and / or monitoring data may further include the target sulfur content of the material. The control data can be provided to a node 1508 associated with the upgrade facility for upgrading the material. The upgrade can be performed according to methods known in the art to remove sulfur content, such as via catalytic upgrading using calcium carbonate and zeolite, oxidative desulfurization, or hydrodesulfurization. The success of the upgrade operation can be determined by measuring the sulfur content of the upgraded material. The upgrade operation can be performed until the sulfur content of the upgraded material falls below a target threshold, such as a threshold included in the control data.

[0313] If the chlorine and / or sulfur content exceeds the threshold defined in the target property data of the material and the corresponding content defined in the candidate operation data of the upgrade operation, the material can be initially deemed unacceptable, and the condition can be deemed unupgradeable. In this case, the control data generator 1506 can select a mixing operation as the initial target operation and determine the adjusted chlorine and sulfur content data. The adjusted property data can be determined based on the chlorine and sulfur content data included in the provided material data. The adjusted property data can be determined based on the adjusted chlorine and sulfur content data generated by the upgrade operation. The adjusted property data can be, for example, according to... Figures 6A to 7The control data generator 1506 can compare the adjusted characteristic data with the target characteristic data. If the adjusted characteristic data meets the target characteristic data, the material can be represented as acceptable, and the conditions can be represented as upgradeable and mixable, or as mixable, depending on the characteristic data used to determine the adjusted characteristic data. The control data generator 1506 can select an upgrade operation and a subsequent mixing operation as the target operation, or it can select a mixing operation as the target operation. The control data generator 1506 can then generate control data for upgrading and mixing materials or for mixing materials. Such control data may include a material identifier, an upgrade process and / or mixing process identifier, and content data associated with the material. The control and / or monitoring data may further include the target content of such material. The control data may further include the sequence of operations to be performed. The control data may be provided to a node 1508 associated with an upgrade facility for upgrading materials and / or a mixing facility associated with a mixing facility for mixing materials or upgraded materials.

[0314] If the level of impurities exceeds the threshold defined for upgrading and mixing operations, or if the adjusted characteristic data generated by the upgrading and / or mixing operations does not meet the target characteristic data, the material can be represented as unacceptable, the conditions can be represented as non-upgradable and non-mixable, and control data for the combustion material can be generated. This control data may include a digital material identifier and a combustion process identifier. The control data can be provided to node 1514 associated with the incineration facility.

[0315] If the impurity level exceeds the threshold defined for upgrade and blending operations, or if the adjusted property data generated by the upgrade and / or blending operations does not meet the target property data, the material can be deemed unacceptable, the condition can be deemed non-upgradeable and non-mixable, and control data for rejecting the material can be generated. This control data may include a digital material identifier and instructions related to shipping the material to the appropriate supplier. The control data can be provided to node 1512 associated with the handling of incoming materials and the outgoing shipment of materials.

[0316] This decision tree allows for the generation of control data for upgrading, mixing, igniting, or rejecting materials by associating material property data with the processing characteristics of one or more devices configured to refine the material. In the case of upgrading, the degree of impurity, as a physical property, can be related to the maximum impurity level used in the upgrading device and the adjusted impurity level achieved through this upgrading. In the case of mixing, the degree of impurity, as a physical property, can be related to the maximum impurity level used in the mixing device and the adjusted impurity level achieved through this mixing.

[0317] Control data may include machine-readable instructions for disposing of or processing materials, including at least one identifier associated with at least one device configured to perform a disposal or processing operation on the material and at least one digital material identifier associated with the material. Control data may be associated with one or more process steps for refining the material. Control data may relate to chemical and / or physical treatment of the material to remove impurities from it. Control data may relate to one or more steps of incinerating the material. Control data may relate to one or more steps of rejecting the material.

[0318] By generating a defined target operation and control data for controlling that operation, waste materials can be avoided. Refining can allow the use of materials associated with property data that do not match the target property data (e.g., materials exceeding specifications) as input materials within chemical production without negatively impacting the quality of the chemical production and / or the resulting chemical products. Refining can reliably use recycled materials with fluctuating material compositions as input materials for chemical production, thus improving the environmental impact of the produced chemical products by allowing the use of recycled materials (despite their fluctuating material composition) as input materials, while still ensuring efficient production and the desired quality of the chemical products.

[0319] Figure 16 A flowchart illustrating an example method for monitoring and / or controlling at least one operation to be performed on materials supplied for chemical production, according to one embodiment of this disclosure, is shown. Figure 16 The method shown can be derived from Figure 14 The system shown is used for implementation. For example, Figure 16 The method shown can be derived from Figure 14 The operating system shown is 620.

[0320] Materials can include materials with recycled, bio-based, or renewable content. Materials can be recycled, bio-based, or renewable. Materials can be produced by upstream participants of the entity producing the output product. Materials can be, for example... Figures 2A to 2C The materials can be produced as described in the context. Materials can be produced by upstream participants and can be supplied to chemical production in association with digitally accessed elements, for example, as... Figure 12 As described in the context. Materials can be associated with identifier elements. Identifier elements can encode material identifiers such as lot numbers, LOT numbers, or combinations thereof.

[0321] A distributed identifier associated with a material can be provided (see box 1602). The distributed identifier can be provided based on the material identifier. The distributed identifier can be provided via a distributed network, for example, as in... Figure 12As described in the context.

[0322] Material data can be collected via a distributed network based on the provided distributed identifier (see box 1604). Material data can be collected via a distributed network, such as in... Figure 12 The material data collected may include digital assets. Digital assets can be described in the context of... Figures 2A to 3 The data is generated as described in the context. Digital assets may include unconfirmed characteristic data. Digital assets may further include confirmed characteristic data. Characteristic data included in digital assets can be labeled as unconfirmed or confirmed by a classification symbol distinguishing between unconfirmed and confirmed data. Characteristic data included in digital assets can be labeled as unconfirmed or confirmed by the corresponding target characteristic data. The collected material data can be stored in a data storage device, such as... Figure 14 As described in the context.

[0323] Candidate operation data and target characteristic data can be provided (see box 1606). Candidate operation data can be provided from a database. Target characteristic data can be provided from a database. Candidate operation data can be included in... Figure 14 The data described in the context of the target characteristic data. Figure 3 The data described in the context.

[0324] The target operation for adjusting the property data included in the collected material data can be determined (see Box 1608). The target operation can be determined in the following ways.

[0325] - Identify unconfirmed characteristic data included in the collected digital assets.

[0326] - Determine the initial target operation based on unconfirmed characteristic data and candidate operation data.

[0327] -Based on candidate operation data and unconfirmed characteristic data, determine the adjusted characteristic data generated by the identified initial target operation, and

[0328] - The target operation is determined by comparing the adjusted characteristic data with the target characteristic data.

[0329] Unconfirmed characteristic data can be represented within digital assets by a classifier indicating unconfirmation. Unconfirmed characteristic data can also be represented within digital assets by associated target characteristic data. Identifying unconfirmed characteristic data included in collected digital assets may include parsing the collected digital assets to identify the classifier indicating unconfirmation. Identifying unconfirmed characteristic data included in collected digital assets may include parsing the collected digital assets to identify characteristic data and associated target characteristic data, and matching the identified characteristic data with the target characteristic data. Unconfirmed characteristic data can be identified characteristic data that does not match the identified target characteristic data.

[0330] Initial target operations can be determined by matching unconfirmed feature data with candidate operation data. For example, unconfirmed feature data can be matched with thresholds for the feature data for each candidate operation included in the candidate operation data.

[0331] Adjusted characteristic data can be determined using the individual characteristic data and adjustment data included in the candidate operation data. Based on unconfirmed characteristic data, adjusted characteristic data can be determined by applying the adjustment data associated with the identified preliminary target operation to at least a portion of the unconfirmed characteristic data.

[0332] If the adjusted characteristic data associated with the preliminary target operation satisfies the target characteristic data, then the preliminary target operation can be selected as the target operation. The target characteristic data is satisfied if at least a portion of the adjusted characteristic data matches corresponding data included in the target characteristic data. The preliminary target operation can be determined iteratively (e.g., if a single operation is insufficient to adjust the material's characteristic data) to satisfy the target characteristic data (see also...). Figure 14 ).

[0333] Monitoring and / or control data can be generated based on the identified target operations (see box 1610). Monitoring and / or control data can be as follows: Figure 14 As described in the context. Monitoring and / or control data may include... Figure 14 The data described in the context.

[0334] The generated monitoring and / or control data can be provided (see box 1612). The generated monitoring and / or control data can be provided to nodes that control and / or monitor the corresponding operations, for example, as in... Figure 14 As described in the context. Control and / or monitoring data can be provided for display.

[0335] By generating defined operations and control data for controlling these operations, waste materials can be avoided. Refining can allow the use of materials associated with property data that do not match target property data (e.g., materials exceeding specifications) as input materials within chemical production without negatively impacting the quality of the chemical production and / or the resulting chemical products. Refining can reliably use recycled materials with fluctuating material compositions as input materials for chemical production, thus improving the environmental impact of the produced chemical products by allowing the use of recycled materials (despite their fluctuating material composition) as input materials, while still ensuring efficient production and the desired quality of the chemical products.

[0336] This disclosure has also been described in conjunction with various preferred embodiments and examples. However, by studying the accompanying drawings, this disclosure, and the claims, those skilled in the art, as well as those who practice the claimed invention, will understand and implement other variations.

[0337] Any steps presented in this document can be performed in any order. The methods disclosed herein are not limited to a specific order of these steps. Nor is it required that different steps be performed in a particular place or on a particular computing node in a distributed system; that is, each step can be performed on different computing nodes using different devices / data processing.

[0338] As used herein, "determine" also includes "initiating or causing determination," "generate" also includes "initiating and / or causing generation," and "provide" also includes "initiating or causing determination, generation, selection, sending, and / or receiving." "Initiating or causing an action" includes any processing signal that triggers a computing node or device to perform a corresponding action.

[0339] In the claims and specification, the word "comprising" or "including" or similar wording does not exclude other elements or steps and should not be construed as limiting oneself to the listed elements or steps. The indefinite article "a" or "an" does not exclude multiple. A single element or other unit may perform the function of several entities or items recited in the claims. The fact that certain measures are recited only in mutually different dependent claims does not indicate that a combination of these measures cannot be used in advantageous implementations or that additional elements may be included.

[0340] Within the scope of this disclosure, provision may include any interface configured to provide data. This may include application programming interfaces, human-machine interfaces (such as displays), and / or software module interfaces. Provision may include transmitting or submitting data to the interface, particularly displaying data to a user or having data used by a receiving entity.

Claims

1. A method for confirming material data associated with a material to be used in the production of one or more output products, the method comprising: - Provide the material data, which includes at least one numerical identifier associated with the material, property data associated with the material, and entity data associated with the entity that generated the property data. - Provides target property data for each material or material type, as well as target entity data associated with at least one predefined entity that generates property data related to the material. - At least a portion of the characteristic data is identified by matching the provided characteristic data with the provided target characteristic data, and at least a portion of the entity data is identified by matching the provided entity data with the provided target entity data. - Based on the confirmed characteristic data and confirmed entity data, generate a digital asset including at least a portion of the digital identifier and the confirmed characteristic data, and / or generate at least one digital certificate proving the conformity of at least a portion of the provided material data and / or at least a portion of the digital asset with the target characteristic data and the target entity data. - Provide the generated digital assets and / or digital credentials.

2. The method as described in claim 1, wherein, The characteristic data includes at least one measured chemical and / or physical property of the material and / or at least one physical and / or chemical property of the material determined based on the measured data, or wherein the characteristic data includes analytical certificate data, which includes at least one measured chemical and / or physical property of the material and / or at least one physical and / or chemical property of the material determined based on the measured data.

3. The method as described in claim 2, wherein, The measured and / or determined chemical and / or physical properties include halogen content data, data related to contaminant content, boiling range data, distillation data such as boiling range, ash content data, flash point data, pour point data, auto-ignition temperature data, density data, calorific value data, bio-source content data, data related to the visual assessment results of the material, and / or data related to the corrosivity of the material, and / or data related to the compatibility with packaging materials and / or storage devices.

4. The method according to any one of claims 1 to 3, wherein, If at least a portion of the characteristic data is included in the provided target characteristic data, then at least a portion of the characteristic data is confirmed, and / or if at least a portion of the entity data is included in the target entity data, then at least a portion of the entity data is confirmed.

5. The method according to any one of claims 1 to 4, wherein, Confirmation includes accepting at least a portion of the provided material data.

6. The method according to any one of claims 1 to 5, wherein, Based on the confirmed characteristic data and the rejection of at least a portion of the provided entity data, a digital asset is generated that includes the digital identifier and at least a portion of the confirmed characteristic data.

7. The method according to any one of claims 1 to 6, wherein, If at least a portion of the provided characteristic data does not match the target characteristic data provided for each input material or input material type, the provided characteristic data will not be accepted.

8. The method according to any one of claims 1 to 7, wherein, Based on the unconfirmed nature of the provided characteristic data, a digital asset is generated that includes the digital identifier, at least a portion of the characteristic data, and data indicating at least the unconfirmed characteristic data.

9. The method according to any one of claims 1 to 8, wherein, The digital certificate includes or corresponds to one or more verifiable certificates.

10. An apparatus for verifying material data associated with a material to be used in the production of one or more output products, the apparatus comprising: - A material data providing interface configured to provide material data, which includes at least one numerical identifier associated with the material, property data associated with the material, and entity data associated with the entity that generated the property data. - A target property data providing interface, configured to provide target property data for each material or material type, and target entity data associated with at least one predefined entity that generates material-related property data. - A confirmation interface configured to confirm at least a portion of the characteristic data by matching the provided characteristic data with the provided target characteristic data, and to confirm at least a portion of the entity data by matching the provided entity data with the provided target entity data. - A generator configured to generate a digital asset comprising at least a portion of the digital identifier and the confirmed characteristic data based on confirmed characteristic data and confirmed entity data, and / or configured to generate at least one digital certificate proving conformity between at least a portion of the provided material data and / or at least a portion of the digital asset and the target characteristic data and the target entity data. - Provide an interface that is configured to provide the generated digital assets and / or associated digital credentials.

11. Material associated with digital assets and digital credentials, wherein, The digital asset and digital certificate are generated according to the method disclosed herein as described in any one of claims 1 to 9 or by the apparatus as described in claim 10.

12. Digital assets and, optionally, digital credentials generated by the method of any one of claims 1 to 9 or by the apparatus of claim 10, for monitoring the use of one or more substances critical to the production of output products from one or more input materials provided for production.

13. A method for monitoring and / or controlling at least one operation to be performed on materials supplied to production, the method comprising the steps of: -Provide one or more of these materials, - Collect material data based on at least one decentralized identifier associated with the material, the material data including digital assets generated by the method of any one of claims 1 to 9 or by the apparatus of claim 10; - Provides candidate operation data and target property data for each material or material type. - Based on the collected digital assets, the candidate operation data, and the target characteristic data, determine at least one target operation to be performed on the material. - Based on the identified target operations, generate monitoring and / or control data for performing the identified target operations on the material. - Provide the generated monitoring and / or control data for monitoring and / or controlling the determined target operations performed on the material. - Optionally, processed material produced by performing at least one target operation on the material is provided to the production process to produce one or more output products using the material.

14. The method of claim 13, wherein, The operation includes mixing different batches of the material, removing at least one chemical compound present in the material, reducing the amount of at least one chemical compound present in the material, incinerating the remaining material, or rejecting the material.

15. A method for monitoring and / or controlling the production of an output product from one or more input materials through chemical production, the method comprising the steps of: - Provide one or more of the input materials, Input material data is collected based on at least one digital identifier associated with the provided input material, including digital assets associated with the input material generated as disclosed herein by the method or apparatus, and optionally digital credentials associated with the input material. - Use a rule-based engine that includes target digital voucher data for each type of input material or input material to validate the collected input material data. - Based on the confirmed input material data, generate monitoring and / or control data for the production of one or more output products.

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