Sustainability authentication method and system for sustainable aviation fuel

Abstract

The invention discloses a sustainability authentication method and system for sustainable aviation fuel, and relates to the technical field of energy management system authentication service. The method comprises the following steps: acquiring authentication application information submitted by an economic operator, and generating an authentication number; wherein the authentication application information comprises an authentication mechanism, an authentication service protocol and an application authentication range; performing project approval auditing on the authentication application information, after the authentication application information passes the project approval auditing, distributing an authentication auditing task to an authentication mechanism, and dynamically establishing an auditing group based on a plurality of members in the authentication mechanism; receiving an authentication auditing result of the auditing group on the economic operator; wherein the authentication auditing result comprises an auditing conclusion, an auditing report and an authentication certificate; after the authentication check is passed, generating an electronic certificate and publicizing the electronic certificate on a specified platform; the publication content is associated with the authentication number, the auditing range and the certificate validity period, and the electronic certificate capable of being continuously authenticated is published when the publication period is expired and no objection exists. According to the invention, automatic management of the authentication process is realized.

Description

Technical Field

[0001] The present application relates to the technical field of energy management system certification services, and more specifically, to a sustainability certification method and system for sustainable aviation fuel. Background Art

[0002] Sustainable Aviation Fuel (SAF) refers to alternative aviation fuels (non-petroleum-based) that meet both aviation safety and airworthiness standards and sustainability assessment criteria. SAF is compatible with existing aircraft and civil aviation infrastructure, and reduces lifecycle carbon emissions by more than 10% compared to fossil-based jet fuel. Only certified sustainable alternative aviation fuels are considered SAF and can be used to fulfill the contract.

[0003] The existing sustainability certification methods for sustainable aviation fuel suffer from the defect of decentralized processes, namely reliance on offline manual operations and a lack of online management of the entire process. This leads to inefficiencies in project establishment, audit task allocation, certificate issuance, and other links, and makes data traceability difficult.

[0004] To address the above-mentioned problems, no effective solutions have been proposed so far. Summary of the Invention

[0005] The embodiments of the present application provide a sustainability certification method and system for sustainable aviation fuel to solve the above-mentioned technical problems.

[0006] According to one aspect of an embodiment of the present application, a sustainability certification method for sustainable aviation fuel is provided, comprising: obtaining certification application information submitted by an economic operator and generating a certification number; wherein the certification application information includes a certification body, a certification service agreement, and an application scope of certification; conducting a project review of the certification application information, and assigning a certification review task to the certification body upon approval, and dynamically forming an audit team based on multiple members of the certification body; receiving the certification review results of the economic operator by the audit team; wherein the certification review results include an audit conclusion, an audit report, and a certification certificate; after the certification review is passed, generating an electronic certificate and publicizing it on a designated platform; the publicizing content is associated with the certification number, the audit scope, and the validity period of the certificate, and an electronic certificate of sustainability certification is issued when there is no objection upon the expiration of the publicizing period.

[0007] Furthermore, when the economic operator applies to expand the scope of certification, incremental membership determination is performed: Analyze the topological network differences between the new and old certification scopes, and identify the newly added node sets and corresponding upstream and downstream dependency edges; Experience inheritance matching: From the original review team, select members who meet the following conditions: have an audit record in the immediately upstream link of the newly added node; their historical audit accuracy rate in the adjacent link is ≥ 90%; if the qualified member's skills cover more than 80% of the newly added node requirements, they will be directly inherited and matched, and their historical accuracy rate weight will be reduced by 15%; Chunked KM matching: merge the nodes in the newly added link nodes with a mandatory standard list overlap of ≥70% into logical chunks; in the bipartite graph model, create a shared member matching pool for each chunk, and if any member in the chunk is successfully matched, all associated nodes will be automatically covered; output the expanded target review member set, and update the member experience identifier in the topological network.

[0008] Furthermore, the determination of the greenhouse gas emission information throughout the life cycle includes: For raw material suppliers involving land use, obtain land ownership, latitude and longitude coordinates, annual production and historical land use data for greenhouse gas data calculation; for raw material suppliers not involving land use, obtain production raw material type, company address and annual residue production for greenhouse gas data calculation; According to another aspect of an embodiment of the present application, a sustainability certification system for sustainable aviation fuel is provided, including: a project creation module, used to obtain certification application information submitted by an economic operator and generate a certification number; wherein the certification application information includes a certification body, a certification service agreement and an application certification scope; a project establishment module, used to conduct a project establishment review of the certification application information, and after passing the review, assign the certification review task to the certification body, and dynamically form an audit team based on multiple members of the certification body; a project certification module, used to receive the certification review results of the economic operator by the audit team; wherein the certification review results include an audit conclusion, an audit report and a certification certificate; a certificate publicity and release module, used to generate an electronic certificate and publicize it on a designated platform after the certification review is passed; the publicity content is associated with the certification number, the audit scope and the certificate validity period, and the electronic certificate of sustainability certification is released when there is no objection after the publicity period expires.

[0009] Based on the sustainability certification method and system for sustainable aviation fuel provided by this application, by building a complete digital certification system, from the collection of application information to the dynamic formation of the review team, and then to the association and publicity of electronic certificates and full-process data, each link provides specific technical solutions to the decentralized defects of existing technologies. Compared with the traditional offline model, this application realizes the systematic integration and automated management of the certification process. Specifically, By processing certification application information online, the traditional offline decentralized project approval, task assignment, and other links are transformed into a systematic and automated process. Compared with the existing technology that relies on paper document delivery and manual follow-up, this application realizes the online closed-loop management of the certification process, avoiding problems such as information omissions and progress delays caused by manual operations, and ensuring that data from all aspects of the certification can be synchronized and tracked in real time. Different from the randomness of manually assigned audit tasks in the existing technology, this application automatically matches audit resources according to the scope of the certification application through a "dynamic teaming mechanism based on certification body members."

[0010] By linking the public information of the electronic certificate with the audit records, certification number, and application information, a two-way traceability system for certification results and process data has been established. In existing technologies, after the certification certificate is issued, there is a lack of effective connection to the audit process, making data traceability difficult. In this application, however, the public information can be mapped to the audit records, task assignment records, and specific audit conclusions. Regulators or relevant parties can quickly locate the entire process data through the certification number, making the "certification process traceable and the responsible party traceable" significantly enhanced. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The drawings described herein are used to provide a further understanding of the embodiments of the present invention and constitute a part of this application. The illustrative embodiments of this application and their descriptions are used to explain this application and do not constitute an improper limitation of this application. In the drawings: Figure 1 is a flowchart of an optional sustainability certification method for sustainable aviation fuel according to an embodiment of the present application; Figure 2 is a structural diagram of an optional topology network subgraph according to an embodiment of the present application; Figure 3 An optional two-stage optimization flow chart according to an embodiment of the present application; Figure 4 This is a flowchart of an optional rule engine-based conflict detection method according to an embodiment of the present application; Figure 5 This is an optional incremental matching flow chart when an economic operator applies to expand the scope of certification according to an embodiment of the present application; Figure 6 is a structural diagram of an optional sustainability certification system for sustainable aviation fuel according to an embodiment of the present application; Figure 7 This is a diagram of an interface for certification management of an optional sustainability certification system for sustainable aviation fuel according to an embodiment of the present application; Figure 8 This is an interface diagram of an audit conclusion and report of an optional sustainability certification system for sustainable aviation fuel according to an embodiment of the present application.

[0012] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0013] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0014] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in a sequence other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0015] Currently, aviation fuel accounts for over 97% of total emissions from my country's civil aviation industry. Electric and hydrogen-powered aircraft cannot meet the aviation industry's emission reduction needs in the short term. SAF is currently the most efficient and energy-saving solution. SAF represents a new direction and solution that comprehensively utilizes my country's existing resources and technologies. The development of SAF will help promote the upgrading and innovation of chemical and energy technologies, addressing energy scarcity and energy security.

[0016] According to one aspect of the embodiments of the present application, a method for sustainability certification of sustainable aviation fuel is provided, such as Figure 1 As shown, the method includes: S101, obtaining the certification application information submitted by the economic operator and generating a certification number; wherein the certification application information includes the certification body, the certification service agreement, and the scope of the certification application; In this embodiment, the certification number may be encoded in the following format, but is not limited to: CSCSCN+year+certification agency code+serial number; the certification agency may include, but is not limited to, the Quality Certification Center, the Joint Certification Center, etc.; the certification application information may also include, but is not limited to, basic enterprise information, person in charge information, etc.; S102: Review the certification application information and assign the certification review task to the certification body after approval. Dynamically form a review team based on multiple members of the certification body. In this embodiment of the present application, a sustainable aviation fuel producer (economic operator) submits a certification application to a certification body. The application scope includes three links: planting sites, raw material processors, and fuel producers.

[0017] Review Process: a) Document Completeness Verification: Application materials are automatically checked to ensure they include the following required documentation: land ownership certificate and FSC forest certification for the plantation site; ISO 14001 environmental management system certification for the raw material processor; and a full lifecycle greenhouse gas emissions report for the fuel producer. Failure Circumstances: If the plantation site FSC certificate is missing, the application will be marked as "Incomplete" and rejected.

[0018] b) Initial Compliance Review: The certification body uses an industry rules engine to verify that the application scope complies with international standards (such as the EU REDII Directive). The certification body checks whether the fuel producer meets the carbon emission intensity threshold (for example, ≤75gCO2e / MJ) and verifies whether the raw material processor uses approved waste treatment processes. Failure: If the fuel producer's carbon emission intensity is 80gCO2e / MJ, a "Carbon Emissions Exceeded Standard" warning is triggered, and the application is rejected.

[0019] c) Certification Scope Reasonability Assessment: Based on the operator category (fuel producer), match the pre-defined certification scope topology network: Required links: plantation, raw material processor, fuel producer; Optional link: None. Failure Circumstances: If the application scope only includes fuel producers (and lacks upstream plantations), the scope will be considered "incomplete" and require supplementation.

[0020] Criteria for passing the review: Complete materials and formatting requirements; data from all stages meet mandatory industry standards; and the certification scope covers the essential stages for the operator category. If approved, the application will be assigned to a certification body. If not, specific non-compliance items and suggested revisions will be provided.

[0021] Optionally, in this embodiment, a risk assessment can be conducted before the audit team is dynamically formed. Specifically, the risk assessment includes: conducting a risk assessment on the certification audit task. If the risk assessment result is high risk, the first audit is arranged according to the high risk level; otherwise, the task is handled as medium risk by default.

[0022] S103, receiving the certification audit results of the economic operator by the audit team; the certification audit results include the audit conclusion, audit report and certification certificate; The certification certificate has a corresponding certificate validity date and expiration date; if the audit conclusion is that the certification fails, the certification certificate will be empty, that is, there is no valid certification certificate; S104: After the certification review is passed, an electronic certificate is generated and announced on the designated platform; the announcement content is related to the certification number, audit scope and certificate validity period. When there is no objection after the announcement period, the electronic certificate of sustainability certification will be issued.

[0023] Optionally, in this embodiment, the publicized content may also be associated with basic information of the economic operator being reviewed.

[0024] refer to Figure 1 The sustainability certification method of sustainable aviation fuel in this application belongs to the technical field of energy management system certification services.

[0025] Based on the sustainability certification method and system for sustainable aviation fuel provided by this application, by building a complete digital certification system, from the collection of application information to the dynamic formation of the review team, and then to the association and publicity of electronic certificates and full-process data, each link provides specific technical solutions to the decentralized defects of existing technologies. Compared with the traditional offline model, this application realizes the systematic integration and automated management of the certification process. Specifically, By processing certification application information online, the traditional offline decentralized project approval, task assignment, and other links are transformed into a systematic and automated process. Compared with the existing technology that relies on paper document delivery and manual follow-up, this application realizes the online closed-loop management of the certification process, avoiding problems such as information omissions and progress delays caused by manual operations, and ensuring that data from all aspects of the certification can be synchronized and tracked in real time. Different from the randomness of manually assigned audit tasks in the existing technology, this application automatically matches audit resources according to the scope of the certification application through a "dynamic teaming mechanism based on certification body members."

[0026] By linking the public information of the electronic certificate with the audit records, certification number, and application information, a two-way traceability system for certification results and process data has been established. In existing technologies, after the certification certificate is issued, there is a lack of effective connection to the audit process, making data traceability difficult. In this application, however, the public information can be mapped to the audit records, task assignment records, and specific audit conclusions. Regulators or relevant parties can quickly locate the entire process data through the certification number, making the "certification process traceable and the responsible party traceable" significantly enhanced.

[0027] As an optional scheme, the categories of economic operators include: raw material supplier, raw material processor, fuel producer, fuel supplier and trader; the certification scope includes at least one of the following: planting site, origin site, collection site, collection site, trader, raw material processor, fuel producer, fuel supplier, waste site and recycling site; the scope of certification application is one of the certification scopes; It should be noted that, as an example, a planting site refers to a location where crops specifically grown for SAF production are grown, such as rapeseed, soybeans, algae, etc. A point of origin refers to the location where biomass raw materials are initially generated. This is broader than a planting site, encompassing planting sites and other places that can produce biomass that can be used for SAF production, such as sources of wild biomass such as forests and grasslands, as well as the generation of some industrial by-products or waste. A collection point refers to the location where biomass raw materials are collected from the point of origin, and is the actual location where raw material collection operations are carried out. A collection point refers to a location where collected biomass raw materials are aggregated, stored, and prepared for transportation. It is usually a relatively concentrated area to facilitate the transportation of raw materials to SAF production plants for processing. A waste point refers to a location where waste generated during the production, transportation, or use of SAF is disposed of. This waste may include waste generated during the production process, expired or no longer used SAF, and waste streams related to SAF use. A recycling point refers to a location in the SAF supply chain where recyclable resources are collected and processed. These recyclable resources may include discarded SAF, waste generated during the production process, and recyclable materials related to the use of SAF.

[0028] In a specific embodiment of the present application, the certification scope of raw material suppliers includes at least one of the following: planting sites, origin sites, collection sites, and collection sites. The certification scope of raw material processors includes at least one of the following: planting sites, origin sites, collection sites, collection sites, and raw material processors. The certification scope of fuel producers includes at least one of the following: planting sites, origin sites, collection sites, collection sites, raw material processors, and fuel producers. The certification scope of fuel suppliers includes at least one of the following: planting sites, origin sites, collection sites, collection sites, raw material processors, fuel producers, and fuel suppliers. The certification scope of traders includes at least one of the following: planting sites, origin sites, collection sites, collection sites, raw material processors, fuel producers, fuel suppliers, and traders. The certification scope of waste disposal sites includes at least one of the following: planting sites, origin sites, collection sites, collection sites, raw material processors, fuel producers, fuel suppliers, traders, and waste disposal sites. The certification scope of recycling sites includes at least one of the following: planting sites, origin sites, collection sites, collection sites, raw material processors, fuel producers, fuel suppliers, traders, waste disposal sites, and recycling sites.

[0029] Dynamically form audit teams based on multiple members of the certification body, including: Based on the category of economic operators and the scope of certification applied for, multiple target members are identified from multiple members of the certification body to form an audit team.

[0030] Based on the embodiments provided in this application, precise classification management is achieved by classifying economic operators into specific categories such as raw material suppliers and processors, and establishing a mapping relationship with the certification scope (planting sites, collection sites, etc.). Differentiated audit scope sets are preset for different types of operators (for example, raw material suppliers only include basic links such as planting sites). This allows for the rapid identification of the core audit links required for that category when dynamically forming an audit team, avoiding omissions or redundancies in the audit scope caused by category confusion in traditional solutions. Combined with the strong correlation between certification scope and category, it ensures that the allocation of audit resources strictly adapts to the characteristics of the industry chain role.

[0031] As an optional solution, the method also includes: the audit team conducts a certification audit on the economic operator and generates a certification audit result, specifically including: Based on the scope of the certification application, the audit team will review the economic operator's full life cycle greenhouse gas emissions information, the legality and sustainability of raw material sources, energy efficiency and waste treatment in the production process, environmental and social impacts, product quality and safety standards, traceability system and documentation records to determine whether there are any non-conformities. The types of non-conformities include clarification items and corrective action requirements. If there are no non-conformities, the certification audit results are generated; If there are any non-conformities, continue to monitor and evaluate the economic operator's rectification of the non-conformities to generate the certification audit results; Among them, the evaluation results of the rectification of the economic operator include one of the following results: the non-conformity has been rectified and it is agreed to close the non-conformity; the non-conformity has not been rectified; the non-conformity has been rectified but does not meet the requirements, and it is not agreed to close the non-conformity.

[0032] In this embodiment, clarification items refer to matters discovered during the audit process that require further explanation or explanation by the audited party. These matters may involve documents, data, operating procedures, etc., which do not necessarily constitute substantial non-conformities in themselves, but there are unclear expressions, abnormal data, unclear processes, etc., which make it impossible for the auditor to accurately understand and evaluate whether it fully complies with the relevant standards or certification requirements of SAF. For example, in the raw material procurement documents submitted by an economic operator, there are ambiguities in the description of the source of different batches of raw materials. For example, it is simply marked as "biomass raw materials" without specifying which crops or wastes are rapeseed, soybeans, algae, etc. The auditor cannot determine whether it meets the specific requirements of SAF raw materials. At this time, the economic operator is required to clarify the description of the source of the raw materials. A corrective action request is a request made by the auditor when the auditor discovers that the auditee's SAF production, supply, or other aspects do not comply with SAF standards, regulations, or contractual requirements. This means requiring the auditee to take specific corrective measures to eliminate the identified non-conformities and prevent similar issues from recurring. For example, if the auditor discovers that a batch of a fuel producer's products fails to meet specific SAF performance standards, such as calorific value or impurity content, due to improper temperature control during the production process, the auditor will require the fuel producer to take corrective actions, such as debugging production equipment and strengthening production process monitoring, to ensure that subsequent products meet SAF quality standards.

[0033] Based on the embodiments provided in this application, dynamic risk tiering and management are achieved by segmenting nonconformities into clarifications (requiring additional explanation) and corrective action requirements (requiring substantial rectification), and establishing a closed-loop rectification monitoring system. During the audit process, nonconformity types are automatically identified, triggering differentiated tracking mechanisms for each type (for example, monitoring only document completion for clarifications, while verifying actual process changes for correctives), thus avoiding the resource waste associated with traditional "one-size-fits-all" approaches. This mechanism is particularly well-suited to the stringent data traceability requirements of aviation fuel certification, ensuring a verifiable and closed-loop rectification process.

[0034] As an optional option, the determination of greenhouse gas emissions information throughout the life cycle includes: For raw material suppliers involving land use, obtain land ownership, latitude and longitude coordinates, annual production and historical land use data for greenhouse gas data calculation; for raw material suppliers not involving land use, obtain production raw material type, company address and annual residue production for greenhouse gas data calculation; Based on the embodiments provided in this application, data collection items are defined differently for different types of raw material suppliers (whether land use is involved or not) to build a precise emission calculation model. For example, for palm oil growers, historical land use data is collected to calculate carbon emissions from land use changes; for waste cooking oil processors, the focus is on transportation distance and processing energy consumption data. This design ensures that emission calculations strictly comply with the International Aviation Carbon Offsetting Standard (CORSIA) and avoids certification deviations caused by insufficient data granularity in traditional solutions. As an optional solution, after issuing the electronic certificate, the method also includes: When a complaint is received against an economic operator or violations by the economic operator are discovered, the electronic certificate will be removed from the shelves and the certification body and the audit team will be notified; The certification authority changes the status of the electronic certificate to revoked or suspended; If the status of the electronic certificate is suspended, if the economic operator meets the requirements for restoring the validity of the certificate after rectification, the certification body will change the status of the electronic certificate to valid; if the economic operator still does not meet the requirements for restoring the validity of the certificate after rectification, the certification body will change the status of the electronic certificate to revoked.

[0035] Based on the embodiments provided in this application, a real-time response mechanism is established by triggering automatic changes in certificate status based on complaints or violations. By publicly annotating the certificate status with audit records and certification numbers, full-link traceability is achieved. When the certificate status is "suspended," partial updates based on the original certification data (such as supplementary rectification evidence) are allowed, rather than re-initiating the full-process review, significantly reducing the review costs caused by temporary violations. This design meets the business needs of aviation fuel certification, which is sensitive to the timeliness of certificates.

[0036] As an optional solution, multiple target members can be identified from multiple members of the certification body based on the type of economic operator and the scope of certification applied for, including: Construct a topological network of certification links bound to economic operators of each category. Topological nodes represent links that need to be audited under that category, and topological edges represent the audit sequence dependency between links, with the direction pointing from upstream to downstream. The audit conclusion of the downstream link is generated based on the audit result data of the upstream link, and the edge weight reflects the audit correlation strength between the upstream and downstream links. Each category of economic operators corresponds to its own topological network subgraph; edge weights are calculated based on the data dependency strength of upstream and downstream links; in some embodiments of the present application, the dependency strength weights of the raw material production link and the direct processing link are 1.5 times, 2 times, etc., of those of ordinary links; According to the category of the current economic operator, obtain the corresponding topological network subgraph and activate the constraints of all topological nodes in the topological network subgraph; In some embodiments of the present application, the depth value d of a topological node represents the node's hierarchical position in the topological network. The depth value d is calculated starting from the starting link of the topological network (e.g., a planting point) and increases by 1 for each downstream topological edge passed.

[0037] In some embodiments of the present application, constraints on all topological nodes in the topological network subgraph are activated, including but not limited to mandatory certification standards, audit member skill requirements, and data integrity constraints. Mandatory certification standards, such as requiring a raw material supplier's plantation to be FSC-certified; audit member skill requirements, such as requiring fuel producers to be familiar with the ASTM D7566 standard; and data integrity constraints, such as requiring a full lifecycle emissions report.

[0038] Calculation method: Starting from the starting link, the depth value is increased by 1 for each topological edge passed.

[0039] For example, planting point (d=1) → collection point (d=2) → raw material processor (d=3) → fuel producer (d=4); the depth value of the fuel producer d=4 means that it is located in the fourth layer of the topological network.

[0040] According to the directional dependency of the topological edges in the topological network subgraph, members with adjacent link audit experience in the certification body are screened to generate a set of candidate members; among them, the weight value of the adjacent link audit experience is dynamically assigned according to the accuracy rate of the member's historical audit operation in the adjacent link after review.

[0041] It's important to note that the certification of sustainable aviation fuels relies heavily on data from the supply chain, requiring strict correlation between audit conclusions from upstream and downstream links. For example, the audit of fuel producers (d=3) relies on process data provided by raw material processors (d=2), while the audit of traders (d=5) requires verification of the supply chain traceability records of fuel suppliers (d=4).

[0042] If members lack experience in adjacent links, the following issues may arise: Data discontinuity: Inability to understand the logic behind upstream data generation makes it difficult to verify the rationality of downstream data (e.g., undetected carbon emissions calculation errors by a processor lead to biased audit conclusions for manufacturers). Repeated audits: Lack of familiarity with upstream audit standards necessitates re-verification of data that should have been completed at adjacent links, reducing efficiency.

[0043] The aviation fuel industry chain encompasses multiple links, including planting, collection, processing, production, supply, and trade. Auditing each link requires cross-disciplinary expertise. For example, if members auditing fuel producers have previously participated in auditing raw material processors, they can more accurately assess the impact of raw material processing techniques on final carbon emissions (such as the effect of varying processing temperatures on raw material conversion rates). In the sustainability certification process, the "upstream and downstream" relationships are determined by the actual material flow and data dependencies within the industry chain: Upstream links, at the front end of the industry chain, whose audit conclusions serve as data input for subsequent links. Downstream links, however, rely on the audit results of upstream links and cannot complete their audits independently.

[0044] The weight of audit experience in adjacent links is dynamically adjusted based on historical accuracy. This serves the following purposes: Quantifying member capabilities: If a member's historical accuracy in adjacent links is ≥90%, it indicates high reliability and is assigned a higher weight (e.g., weight gain coefficient = 1.2); conversely, members with low accuracy have a lower weight (e.g., coefficient = 0.8). Matching priority control: In the KM algorithm, high-weighted members are more likely to be assigned to key links (e.g., fuel producer d = 3), forming a virtuous cycle of "high experience → high weight → high priority."

[0045] For example, the dependency relationship between raw material processor audits and fuel producer audits is as follows: plantation (upstream, d=1) → raw material processor (midstream, d=2) → fuel producer (downstream, d=3). The audit sequence logic includes: 1. The legitimacy of the plantation must be verified (e.g., land ownership, FSC certification) before confirming the compliance of the raw material source; 2. The raw material processor audit must be based on plantation data (e.g., raw material procurement volume, transportation carbon emissions); 3. The fuel producer audit must verify that the raw material processing technology provided by the raw material processor meets standards.

[0046] The depth value d represents the hierarchical position of a link node in the topological network, starting from the starting point (the most upstream) of the industrial chain and increasing layer by layer. Specifically, d = 1: the starting point of the industrial chain (such as the planting site, the origin point); d = 2: the link directly dependent on the starting point (such as the collection point, the collection point); d = 3: the processing link dependent on the link d = 2 (such as the raw material processor); d ≥ 3 is considered a deep node (such as fuel producers d = 3, fuel suppliers d = 4, and traders d = 5).

[0047] For example, the topological hierarchy of fuel suppliers is: Planting site (d=1) → Collection site (d=2) → Raw material processor (d=3) → Fuel producer (d=4) → Fuel supplier (d=5). Deeper nodes are defined as links with d≥3 (such as fuel producers and subsequent links), which are highly complex to audit and require highly skilled personnel.

[0048] like Figure 2 As shown, it is a structural diagram of an optional topological network subgraph. This figure is a topological network subgraph corresponding to an economic operator of the category "trader". Among them, the node represents the link of the industrial chain that needs to be reviewed, and is marked with a depth value d (the level is calculated from the starting point of the industrial chain, such as d=1 for the planting point). The directed edge represents the audit order dependency, and the direction is from upstream to downstream (such as planting point → collection point). The edge weight reflects the data dependency intensity of the upstream and downstream links (such as the raw material processor → fuel producer has the highest weight, because the processing technology directly affects the emission calculation). Based on the embodiment provided in this application, the data dependency intensity between links is quantified by edge weights (such as a weight of 2.5 from raw material processing to production), so that the algorithm prioritizes the skill matching of members in strongly dependent links. The depth value d (such as d=6 for traders) drives the initialization of the top label value of the KM algorithm to ensure that deep nodes receive high-priority resource allocation.

[0049] As an optional solution, each topology node is configured with unique attributes, including a list of associated certification standards, skill requirements, and historical experience identifiers that allow cross-link audits. Based on the economic operator category and the scope of certification application, multiple target members are identified from multiple members of the certification body, and a two-stage optimization is performed: In phase one, Construct a bipartite graph model, where the left-side nodes are nodes in the topological network subgraph to be reviewed; the right-side nodes correspond to members in the candidate member set; Define the edge weight between the left node and the right node, including: the base weight is the match between the member's skill combination and the link skill requirements, and the weight adjustment item is added: base weight × (1 + 0.2 × depth value d); the depth value d represents the hierarchical position of the topological node in the topological network; Initialize the top-mark value of the KM algorithm, including: for each left node, calculate the highest weight value among the edges connecting it to all right nodes, and multiply the highest value by (1 + depth value d × 0.5) as the initial top-mark value of the left node; the initial top-mark value of the right member node is 0; Perform augmented path search with cross-link experience priority, giving priority to matching key link nodes with depth value d≥3; Output preliminary matching members.

[0050] Based on the embodiments provided herein, in Phase 1, by incorporating the topological node depth d (hierarchical position) into the KM algorithm's top-value initialization rule (top-value = highest edge weight × (1 + 0.5d)), the top-value of deep links (e.g., traders d = 5) is significantly higher than that of shallow links (e.g., planting sites d = 1). The algorithm prioritizes matching high-quality members in highly complex links. By also weighting cross-link experience (dynamically calculating historical accuracy), it ensures that reviewers in key links possess both deep vertical skills and broad horizontal experience.

[0051] As an optional solution, in Phase II, The rule engine is called to check whether the preliminary matching results violate the following constraints: mandatory compliance constraint: member qualifications do not meet the mandatory standard list of the link node; hierarchical adaptation constraint: the audit members of the downstream link lack the relevant audit experience of the upstream link; load balancing constraint: the same member is assigned to more than 4 links; When a link node conflicts, all the matched members corresponding to its upstream link nodes are locked; Allow rematching of the members of the conflicting node and its downstream nodes; Output multiple target members that satisfy all constraints.

[0052] For example, if the fuel producer audit link (d=3) finds inconsistencies in raw material processing data (such as abnormal processing carbon emissions), the audit members of the upstream approved planting site (d=1) and raw material processor (d=2) must be locked (because their conclusions are the basis for downstream data), and only members of the fuel producer link (d=3) are allowed to be re-matched to avoid efficiency losses caused by full-link review.

[0053] As an optional implementation, Figure 3 The figure shows an optional two-stage optimization flowchart. In this diagram, in stage one, a candidate member set is input; a bipartite graph model is constructed, with the link to be reviewed (e.g., fuel producer d=4) as the left node and the candidate member as the right node; edge weights are calculated: the base weight is determined by the match between the member's skills and the link requirements, with a depth gain (0.2×d) added. For example, the edge weight of a fuel producer (d=4) = skill match × 1.8 (1+0.2×4); the top index value is initialized: the top index value of the link on the left is its highest edge weight × (1+0.5d); for example, the top index value of a fuel producer (d=4) = highest edge weight × 3 (1+0.5×4); an augmenting path search is performed, prioritizing links with depth values ​​d≥3 (e.g., fuel producer d=4, supplier d=5), and outputting a preliminary member set.

[0054] In phase two, the rule engine detects conflicts: it checks whether the preliminary member set violates the following constraints: mandatory compliance conflict: member qualifications do not meet mandatory standards (for example, a fuel supplier auditor does not hold an ISO14001 certificate); hierarchical adaptation conflict: downstream members lack upstream audit experience (for example, a trader auditor has never participated in a supplier audit); load balancing conflict: the same member is assigned to more than four links.

[0055] Regardless of the conflict type, all upstream members of the conflict link are locked (for example, in the case of a fuel supplier conflict, members from the plantation d=1 to the producer d=4 are locked), and only members of the conflict node and its downstream nodes are allowed to be rematched (for example, replacing the supplier d=5 and the trader d=6).

[0056] Output multiple target members: For example, a replaced supplier auditor needs to re-verify his / her qualifications and ensure the consistency of downstream traders' audits.

[0057] Based on the embodiments provided in this application, deep links (d ≥ 3) are amplified by top-value amplification to obtain highly skilled members, avoiding the under-allocation of resources to key links in traditional KM algorithms. Conflicts trigger upstream locking and downstream replacement, ensuring data integrity and reducing the amount of rematching computation.

[0058] As an optional implementation, Figure 4 The figure shows an optional flow chart for conflict detection based on a rules engine. The specific steps in this figure include: Triggering rule detection: Within the preliminary member set, the rules engine scans for the following conflicts: Mandatory compliance conflicts: For example, a member in the raw material processor segment (d=3) does not have FSC certification. Tier adaptation conflicts: For example, a member in the fuel producer segment (d=4) has not participated in the raw material processor (d=3) audit. Load balancing conflicts: For example, a member is assigned to five segments (exceeding the upper limit of four).

[0059] Conflict Response: Lock upstream members: Regardless of the conflict type, it is prohibited to replace the upstream members of the conflicting link (for example, when there is a processor conflict, the members at planting point d=1 and collection point d=2 are locked). Replace downstream members: Only re-matching of the conflicting node (for example, processor d=3) and downstream links (producer d=4, supplier d=5, etc.) is allowed.

[0060] Conflict resolution is completed: for example, after replacing a processor member, verify its qualifications and update the downstream producer audit conclusion.

[0061] Based on the embodiments provided in this application, rule binding (e.g., FSC certification and ISO standards) ensures that each matching decision complies with international aviation fuel certification specifications. Conflict resolution only affects downstream processes, while upstream data remains immutable, avoiding efficiency losses caused by full-link review.

[0062] Based on the embodiments provided in this application, industry-specific constraints (such as load balancing and hierarchical adaptation) are loaded through the rule engine, and upstream member locking and downstream local replacement are performed on conflicting nodes, thereby minimizing the scope of rematching while ensuring data integrity, and solving the pain point of full-link review caused by local conflicts in traditional solutions.

[0063] As an optional solution, the KM algorithm integrates the time-sensitive factor and the topological influence factor when performing augmented path search; Among them, the time-sensitive factor: for nodes with a remaining review time of less than 48 hours, the top mark value will be increased by 20%; Topological influence factor: Based on the number of downstream dependencies N of a link node, the weight of the connection edge between the node and all right-hand nodes is amplified by (1 + 0.2 × N) times; when N ≥ 5, it is a critical path node, and N < 5, it is an ordinary node; The edge weight amplification mechanism based on topological influence factors quantifies link influence and dynamically adjusts matching priorities to ensure that highly skilled members are assigned to the key links that have the greatest impact on the entire chain. When two types of factors are triggered simultaneously in the same link, a cascade superposition mechanism is adopted, including first applying the time-sensitive factor to increase the top-mark value, and then applying the topological influence factor based on the increased top-mark value to calculate the topological influence weight.

[0064] In this embodiment, the number of downstream dependencies, N, represents the total number of downstream links directly or indirectly affected by a node, reflecting the scope of influence of its audit conclusion. The larger N is, the wider the scope of influence of the audit conclusion for that link, and the higher the priority for ensuring its audit quality. If N ≥ 5, it is a critical path node (e.g., a multinational trader may affect suppliers in multiple countries, N = 7).

[0065] Calculation method: Starting from this node, the number of all downstream nodes that can be reached along the topological edges.

[0066] For example, the downstream of a raw material processor (d=3) includes fuel producers (d=4), fuel suppliers (d=5), and traders (d=6), so N=3; if a trader node affects distribution nodes in 5 countries, then N=5.

[0067] It should be noted that the depth value d represents the vertical hierarchical position of a node in the industry chain; it is calculated based on the topological path length (the number of edges from the starting point to the node); it is used to determine the weight allocation priority in the algorithm (the larger d, the higher the weight). The number of downstream dependencies, N, represents the horizontal coverage of a node's influence on downstream nodes; it is calculated based on the total number of reachable downstream nodes; it is used to determine the influence amplification factor in the algorithm (the larger N, the greater the increase in the weight of the connecting edges).

[0068] As an example, a planting point (d=1, N=5): depth value d=1: located at the upstream of the topological network; downstream dependency N=5: affecting the entire chain of collection, processing, production, supply, and trade; because d=1 is small, the basic weight is low; but N=5 is large, triggering the weight amplification of the connection edge (1+0.2×5=2 times), compensating for the importance of the upstream link.

[0069] As another example, a fuel supplier (d=5, N=2): Depth value d=5: deep in the topological network; downstream dependency N=2: only affects traders and distributors in specific regions; d=5 triggers high weight allocation (base weight × 3.5); N=2 only produces a small increase in edge weight (1+0.2×2=1.4 times).

[0070] Based on the embodiments provided herein, through the coupled design of d and N, the depth value d addresses vertical hierarchical priority (e.g., deep links require highly skilled members); the downstream dependency number N addresses horizontal impact range optimization (e.g., key nodes require amplified matching weights); the two work together to accurately adapt to the business characteristics of sustainable aviation fuel certification, namely, "strict vertical hierarchy and diffuse horizontal impact."

[0071] Based on the examples provided in this application, a time-sensitive factor is introduced into the KM algorithm, achieving coordinated optimization of timeliness and critical paths through a cascaded stacking mechanism (time first, then topology). For example, for links with a wide impact (such as fuel producers, N=5) that are nearing expiration, the algorithm automatically increases their matching priority, ensuring that these links receive priority access to highly skilled members, thus avoiding the scheduling imbalances caused by single-dimensional optimization in traditional solutions.

[0072] As an optional solution, the method further includes: Evaluate the traceability risk and sampling scope during the certification audit process, generate a sampling risk report based on the ratio of the overall data quantity to the sample data quantity, and generate sampling risk evaluation results including low risk, medium risk and high risk levels.

[0073] Based on the embodiments provided in this application, by correlating the sampling scope with the overall data volume, low / medium / high risk ratings are generated, driving dynamic adjustments to audit strategies. For example, if data sampling from a raw material supplier's planting site indicates high risk, the sampling ratio for that link is automatically expanded, and upstream and downstream data (such as processor procurement records) are linked and traced to achieve cross-link risk transmission control. This mechanism breaks through the isolation of traditional sampling schemes and adapts to the strong coupling of data throughout the entire life cycle in aviation fuel certification.

[0074] As an optional option, when an economic operator applies to expand the scope of certification, an incremental membership determination is performed: Analyze the topological network differences between the new and old certification scopes, and identify the newly added node sets and corresponding upstream and downstream dependency edges; Experience inheritance matching: From the original review team, select members who meet the following conditions: have an audit record in the immediately upstream link of the newly added node; their historical audit accuracy rate in this adjacent link is ≥90%; if the qualified member's skills cover more than 80% of the newly added node's requirements, they will be directly inherited and matched, and their historical accuracy rate weight will be reduced by 15% to prevent inflated experience values; Chunked KM matching: merge the nodes in the newly added link nodes with a mandatory standard list overlap of ≥70% into logical chunks; in the bipartite graph model, create a shared member matching pool for each chunk, and if any member in the chunk is successfully matched, all associated nodes will be automatically covered; output the expanded target review member set, and update the member experience identifier in the topological network.

[0075] As an optional implementation, Figure 5 The figure below shows an incremental matching flow chart for an economic operator applying to expand its certification scope. The figure includes the following steps to resolve topological differences: When the operator expands from the original certification scope (planting site d = 1 to producer d = 4) to the newly added scope (supplier d = 5, trader d = 6), the newly added link nodes and dependency edges are identified.

[0076] Experience inheritance matching: Members are selected from the original audit team. They must have audit records at the immediately upstream link (e.g., manufacturer d=4) and a historical accuracy rate of ≥90%. For example, if audit member A from the original manufacturer has a historical accuracy rate of 95% and their skills cover 85% of the supplier's requirements, they will be directly matched and their experience weight will be reduced by 15% to prevent over-reliance on historical data.

[0077] Block-based KM matching: New links with a mandatory standard overlap of ≥70% are combined into blocks (e.g., fuel suppliers in multiple countries must comply with the REDII standard). Blocks are assigned a shared pool of members in a bipartite graph, and a successful match on any member covers all nodes within the block. For example, combining EU and North American suppliers into a block allows a single match to cover the audit requirements of both locations.

[0078] Output extended member set: For example, when adding a new trader link, reuse the original supplier member B and add the new member C to ensure audit consistency.

[0079] The embodiments provided in this application reduce the overhead of matching new members, which is particularly suitable for common scenarios where the scope of authentication is gradually expanded. By merging nodes based on standard coincidence, the complexity of the KM algorithm is reduced.

[0080] Based on the embodiments provided in this application, when operators expand their certification scope, efficient incremental expansion of new links is achieved through experience inheritance matching (reusing existing members with high accuracy in adjacent links) and block-based KM matching (merging links with standard overlap of ≥70% into logical blocks). For example, when adding a new trader link, if the raw material supplier audit member meets the experience and skill coverage requirements of the adjacent links, their experience weight will be directly inherited and attenuated (to prevent overfitting), reducing the matching overhead of the new member. Block-based matching further reduces computational complexity and adapts to business scenarios where the certification scope is gradually expanded.

[0081] In some embodiments of this application, data generated during the sustainability certification process for sustainable aviation fuel is encrypted using a hash algorithm and then privately chained using a blockchain traceability strategy. This blockchain traceability strategy utilizes a Book & Claim mechanism, automatically verifying the qualifications of each node through smart contracts, and supporting tamper-proof data traceability throughout the entire chain, from raw material collection to fueling.

[0082] According to another aspect of the embodiment of the present application, a sustainability certification system for sustainable aviation fuel is provided, such as Figure 6 As shown in , the system includes: Project creation module 601 is used to obtain the certification application information submitted by the economic operator and generate a certification number; the certification application information includes the certification body, certification service agreement, and the scope of the certification application; The project establishment module 602 is used to review the certification application information and assign the certification review task to the certification body after approval, and dynamically form a review team based on multiple members of the certification body; The project certification module 603 is used to receive the certification audit results of the economic operator by the audit team; wherein the certification audit results include the audit conclusion, audit report and certification certificate; The certificate publication and release module 604 is used to generate an electronic certificate and publish it on a designated platform after the certification review is passed. The publication content is associated with the certification number, the review scope, and the certificate validity period. If there are no objections after the publication period expires, the electronic certificate of sustainability certification will be issued. In one embodiment, reference Figure 6 The sustainability certification system for sustainable aviation fuel in this application belongs to the technical field of energy management system certification services.

[0083] like Figure 7 Shown is an interface diagram of certification management of an optional sustainability certification system for sustainable aviation fuel.

[0084] like Figure 8 The figure shows the interface diagram of the audit conclusion and report of an optional sustainability certification system for sustainable aviation fuel.

[0085] Optionally, in this embodiment, the embodiments to be implemented by the above-mentioned various unit modules can refer to the above-mentioned various method embodiments, which will not be repeated here.

[0086] In the above embodiments of the present application, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0087] The above is only a preferred embodiment of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A sustainability certification method for sustainable aviation fuel, characterized in that: include: Obtaining the certification application information submitted by the economic operator and generating a certification number; wherein the certification application information includes the certification body, the certification service agreement, and the scope of the certification application; Conduct project review of the certification application information, assign the certification review task to the certification body after passing, and dynamically form a review team based on multiple members of the certification body; receiving the certification audit results of the economic operator by the audit team; wherein the certification audit results include the audit conclusion, audit report and certification certificate; After the certification review is passed, an electronic certificate will be generated and announced on the designated platform; the announcement content will be related to the certification number, audit scope and certificate validity period. If there is no objection after the announcement period, the electronic certificate of sustainability certification will be issued.

2. The sustainability certification method for sustainable aviation fuel according to claim 1, characterized in that: The categories of economic operators include: raw material suppliers, raw material processors, fuel producers, fuel suppliers, and traders; the scope of certification includes at least one of the following: planting sites, origin sites, collection sites, collection sites, traders, raw material processors, fuel producers, fuel suppliers, waste sites, and recycling sites; the scope of certification application shall be one of the aforementioned scopes; The audit team is dynamically formed based on multiple members of the certification body, including: According to the category of the economic operator and the scope of the certification application, multiple target members are determined from multiple members of the certification body to form the audit team.

3. The sustainability certification method for sustainable aviation fuel according to claim 1, characterized in that: The method further includes: the audit team conducting a certification audit on the economic operator and generating the certification audit result, specifically including: The audit team will review the economic operator's full life cycle greenhouse gas emissions information, the legality and sustainability of raw material sources, energy efficiency and waste treatment in the production process, environmental and social impacts, product quality and safety standards, traceability system and documentation records based on the scope of the certification application, to determine whether there are any non-conformities. The types of non-conformities include clarification items and corrective action requirements; If there is no non-conformity, generating the certification audit result; If any non-conformities exist, continue to monitor and evaluate the economic operator's rectification of the non-conformities to generate the certification audit results; The evaluation results of the rectification of the economic operator include one of the following results: the non-conformity has been rectified and the closure of the non-conformity is agreed; the non-conformity has not been rectified; the non-conformity has been rectified but does not meet the requirements and the closure of the non-conformity is not agreed.

4. The sustainability certification method for sustainable aviation fuel according to claim 1, characterized in that: After issuing the electronic certificate, the method further includes: When a complaint is received against the economic operator or violations by the economic operator are discovered, the electronic certificate will be removed from the shelves and the certification body and the audit team will be notified; The certification authority changes the status of the electronic certificate to revoked or suspended; In the case where the status of the electronic certificate is suspended, if the economic operator meets the requirements for restoring the validity of the certificate after rectification, the certification authority will change the status of the electronic certificate to valid; if the economic operator still does not meet the requirements for restoring the validity of the certificate after rectification, the certification authority will change the status of the electronic certificate to revoked.

5. The sustainability certification method for sustainable aviation fuel according to claim 2, characterized in that: The step of determining a plurality of target members from among the plurality of members of the certification body according to the category of the economic operator and the scope of the certification application includes: Construct a topological network of certification links bound to economic operators of each category. Topological nodes represent links that need to be audited under that category, and topological edges represent the audit sequence dependency between links, with the direction pointing from upstream to downstream. The audit conclusion of the downstream link is generated based on the audit result data of the upstream link, and the edge weight reflects the audit correlation strength between the upstream and downstream links. According to the category of the current economic operator, a corresponding topological network subgraph is obtained, and constraints of all topological nodes in the topological network subgraph are activated; According to the directional dependency of the topological edges in the topological network subgraph, members of the certification body with experience in auditing adjacent links are screened to generate a set of candidate members; wherein the weight value of the audit experience in adjacent links is dynamically assigned according to the accuracy rate of the member's historical audit operations that have been reviewed in the adjacent links.

6. The sustainability certification method for sustainable aviation fuel according to claim 5, characterized in that: Each topological node is configured with exclusive attributes, including an associated list of certification standards, skill requirements, and a historical experience identifier that allows cross-link audits; the process of determining multiple target members from multiple members of the certification body based on the category of the economic operator and the scope of the certification application also includes performing a two-stage optimization: In phase one, Constructing a bipartite graph model, wherein the left-side nodes are nodes of the link to be reviewed in the topological network subgraph; the right-side nodes correspond to members in the candidate member set; Define the edge weight connecting the left node and the right node, including: a base weight equal to the degree of match between the member's skill set and the link's skill requirements, and a weight adjustment term: base weight × (1 + 0.2 × depth value d); where depth value d represents the hierarchical position of the topological node in the topological network; Initialize the top-mark value of the KM algorithm, including: for each left node, calculate the highest weight value among the edges connecting it to all right nodes, and multiply the highest value by (1 + depth value d × 0.5) as the initial top-mark value of the left node; the initial top-mark value of the right member node is 0; Perform augmented path search with cross-link experience priority, giving priority to matching key link nodes with depth value d≥3; Output preliminary matching members.

7. The sustainability certification method for sustainable aviation fuel according to claim 6, characterized in that: In phase two, The rule engine is called to check whether the preliminary matching results violate the following constraints: mandatory compliance constraint: member qualifications do not meet the mandatory standard list of the link node; hierarchical adaptation constraint: the audit members of the downstream link lack the relevant audit experience of the upstream link; load balancing constraint: the same member is assigned to more than 4 links; When a link node conflicts, all the matched members corresponding to its upstream link nodes are locked; Allow rematching of the members of the conflicting node and its downstream nodes; Output multiple target members that satisfy all constraints.

8. The sustainability certification method for sustainable aviation fuel according to claim 6, characterized in that: The KM algorithm integrates the time-sensitive factor and the topological influence factor when performing augmented path search; The time-sensitive factor increases the top-mark value of link nodes with a remaining review time of less than 48 hours by 20%. The topological influence factor amplifies the weight of the connection edge between the link node and all right-hand nodes by (1 + 0.2 × N) times, based on the number of downstream dependencies N of the link node. When N ≥ 5, the node is a critical path node, and when N < 5, the node is an ordinary node. When two types of factors are triggered simultaneously in the same link, a serial superposition mechanism is adopted, including: first applying the time-sensitive factor to increase the top-mark value, and then applying the topological influence factor to calculate the topological influence weight based on the increased top-mark value.

9. The sustainability certification method for sustainable aviation fuel according to any one of claims 1 to 8, characterized in that: The method further comprises: Evaluate the traceability risk and sampling scope during the certification audit process, generate a sampling risk report based on the ratio of the overall data quantity to the sample data quantity, and generate sampling risk evaluation results including low risk, medium risk and high risk levels.

10. A sustainability certification system for sustainable aviation fuel, characterized in that: include: A project creation module is used to obtain the certification application information submitted by the economic operator and generate a certification number; wherein the certification application information includes the certification body, the certification service agreement, and the scope of the certification application; A project establishment module is used to review the certification application information, assign the certification review task to the certification body after approval, and dynamically form a review team based on multiple members of the certification body; a project certification module, configured to receive the certification audit results of the economic operator by the audit team; wherein the certification audit results include the audit conclusion, audit report and certification certificate; The certificate publicity and release module is used to generate an electronic certificate and publicize it on a designated platform after the certification review is passed; the publicity content is associated with the certification number, review scope and certificate validity period. If there is no objection after the publicity period expires, the electronic certificate of sustainability certification will be issued.

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