260 results about "Bill of materials" patented technology

The invention relates to a work order material intelligent tracking and dynamic updating system based on multi-source data fusion. The system comprises an acquisition module, a tracking module, an updating module, a man-machine interaction module and a storage module, the acquisition module is used for acquiring work order information from a bill of material, scheduling information and inventory and supplier data, and constructing a material data model; the tracking module monitors material inventory, consumption and material shortage risks based on the model, and realizes automatic state updating and graphical path recording in combination with bar code recognition and ambiguity analysis; the updating module predicts material requirements through a machine learning algorithm, optimizes a distribution plan and outputs a dynamic report; the interaction module supports multi-format data import, unstructured field classification and interrupted operation control; the storage module ensures credible synchronization and tamper-proofing performance of data among different systems through a block chain technology; according to the invention, high-efficiency management and dynamic allocation of work order materials can be realized in an environment without an MES system, and the production transparency and the resource utilization efficiency are improved.

Methods and systems for assessing a software bill of materials (SBOM) include building a knowledge graph from repositories, using function fingerprints of software packages in the repositories. Dependencies of an application are identified using function fingerprints of the application and comparing to function fingerprints of the software packages. A quality score for an SBOM of the application is generated based on a comparison of the identified dependencies to claimed dependencies of the SBOM. An action is performed responsive to the quality score.

An intelligent multi-modal component search and procurement system is provided. The system enables users to search for industrial components through multiple input modalities, including keyword queries, BOM (Bill of Materials) file uploads, and natural language interactions. The system dynamically refines search results using a combination of structured filtering, semantic similarity analysis, and machine learning. Key features include a chat interface for natural language processing (NLP), a selection panel for real-time filtering, and a product listing that adapts to user inputs. The invention improves efficiency in industrial procurement by integrating contextual understanding, schema validation, and embedding vector conversions.

Methods and systems for assessing a software bill of materials (SBOM) include extracting package names from code of an application to identify first dependencies of the application. Package names are extracted from accesses by the application to identify second dependencies of the application. A quality score is generated for an SBOM of the application based on a comparison of the contents of the SBOM to the first dependencies and the second dependencies. An action is performed responsive to the quality score.

The invention relates to a work order material intelligent tracking and dynamic updating system based on multi-source data fusion. The system comprises an acquisition module, a tracking module, an updating module, a man-machine interaction module and a storage module, the acquisition module is used for acquiring work order information from a bill of material, scheduling information and inventory and supplier data, and constructing a material data model; the tracking module monitors material inventory, consumption and material shortage risks based on the model, and realizes automatic state updating and graphical path recording in combination with bar code recognition and ambiguity analysis; the updating module predicts material requirements through a machine learning algorithm, optimizes a distribution plan and outputs a dynamic report; the interaction module supports multi-format data import, unstructured field classification and interrupted operation control; the storage module ensures credible synchronization and tamper-proofing performance of data among different systems through a block chain technology; according to the invention, high-efficiency management and dynamic allocation of work order materials can be realized in an environment without an MES system, and the production transparency and the resource utilization efficiency are improved.

Computerized systems and methods are disclosed for automating Configure to Order (CTO) and Quote to Order (QTO) processes. Methods include receiving user inputs for desired product configurations, retrieving corresponding data from a bill of materials database, and calculating optimized pricing through intelligent rules based on real-time market data. Automated quotes are generated and transferred to orders in a vendor system, selected based on pre-set criteria like vendor reputation and delivery time. Validation steps reduce errors, and real-time reports are generated. The system integrates a Real-Time Data Mesh for data aggregation, a Single Pane of Glass User Interface for user interactions, and Advanced Analytics and Machine Learning Modules for implementing rule-based and learning algorithms. The system is accessible across various devices and standardizes data for uniform consumption, while also employing machine learning models to continually optimize processes. Notifications are sent to users upon successful execution of orders or completion of quotes.

The invention provides a product defect tracing method based on knowledge graph reasoning. The method comprises the following steps: constructing a knowledge graph based on a product hierarchical structure of a bill of materials and a manufacturing process hierarchical structure of a process route; when it is detected that data of a certain node in the knowledge graph is changed, calculating an update priority weight of a change node based on the occurrence frequency of the change node in a historical defect path and the hierarchy depth in the double-hierarchy structure; determining an updating range according to the updating priority weight, and updating the knowledge graph; and positioning defect nodes in the updated knowledge graph according to system response, executing path search from the defect nodes, identifying potential root cause nodes, and realizing product defect tracing. According to the method, accurate and real-time defect traceability of the product is realized based on multi-level feature correlation analysis of causal reasoning and dynamic knowledge graph construction and enhanced reasoning.

The invention belongs to the technical field of intelligent manufacturing, and discloses a production order automatic scheduling correction method and system, and the method comprises the steps: obtaining a product material list; determining a product process route according to the product type and the process comparison result; marking resource configuration of a process route and a production scheduling state of the product; creating a production order for the products of which the production scheduling states are to be scheduled, and forming a production order level material list according to order information of each level and a product material list; according to the production requirements of the products, the production scheduling logic of the products is selected from the shortest construction period logic, the earliest delivery time logic and the emergency order insertion logic, and production scheduling of the production work orders is carried out; when the production work order is arranged, generating a processing equipment Gantt chart based on the processing information of the processing equipment and the production work order information; and correcting the production scheduling plan of the production order by using the automatic correction logic in the Gantt chart of the processing equipment. The automatic production scheduling efficiency of production is improved, and the customer satisfaction is reduced and improved.

Disclosed in the present invention is a material picking method based on a mobile robot, comprising the following steps: step S1, acquiring a real-time production plan and a bill of materials, wherein the bill of materials comprises material codes, material names, material quantity and lead time; step S2, on the basis of the material codes, dividing the bill of materials into a plurality of task units suitable for single operation of the mobile robot, and assigning corresponding picking stations; step S3, performing picking state labeling on the task units on the basis of the lead time of materials in the task units, and assigning corresponding mobile robots on the basis of the labeled picking states; and step S4, the mobile robots performing path planning on the basis of the assigned task units, and executing the assigned task units on the basis of the planned path, so that racks to which the materials in the assigned task units belong are transported to specified picking stations for operators to pick the required materials.

The invention discloses a universal method and system for dynamically defining a carbon footprint of a product and a related device, and relates to the field of intelligent accounting of the carbon footprint of the product, and the method comprises the steps: obtaining a bill of material of the product, carrying out the disassembly, obtaining a function unit, and associating with a corresponding production process link; the carbon emission of each production process link is automatically calculated; calculating the carbon emission of the dynamic data; describing the unstructured text, and identifying recessive carbon emission; acquiring regional real-time green electricity proportion data, and calculating the green electricity emission reduction of the product after correction; and based on the carbon emission of each production process link, the carbon emission of the dynamic data, the hidden carbon emission, the green electricity emission reduction and the carbon emission of the waste recovery stage, calculating the life cycle carbon footprint of the product, then carrying out balance verification, generating a three-level structured report, and carrying out uplink storage. According to the method, the integrity of the accounting boundary can be improved, the emission source coverage rate and the recognition efficiency are improved, and the accuracy and timeliness of the product carbon footprint accounting result are improved.

The invention relates to a multi-dimensional and multi-level capability modeling method for production plan scheduling. The method comprises the following steps: defining process basic data based on a time model of each process stage in a production process; defining product basic data based on the material archive and the bill of material; defining resource basic data based on the device capability and the personnel capability; classifying the products based on the characteristics of the product families and the raw materials to obtain each product group; classifying processes based on product processes and process requirements to obtain each process group; classifying the resources based on the grouping of the equipment and the personnel to obtain each resource group; a production plan target is determined, capability modeling is carried out based on the production plan target and constraint conditions to obtain a production plan scheduling model, and the constraint conditions comprise constraints of basic data of products / product groups, working procedures / working procedure groups and products / product groups, so that the data processing efficiency is improved, and formulation of a production plan is optimized.

The invention relates to a data consistency verification method and device, computer equipment and a storage medium. The method comprises the steps of extracting a first type of data in a bill of material and CAD structure data associated with the bill of material, performing consistency comparison to obtain a first comparison result, extracting a second type of data in the bill of material and CAD structure data, and performing consistency comparison to obtain a second comparison result, the first type of data being first-level part data in the bill of material, and the second type of data being second-level part data in the bill of material and CAD structure data; the second type of data is data of sub-structures of parts in the first type of data, separately extracting father-son relations between structures in the second type of data of the bill of materials and in the second type of data of the CAD structure data, and performing consistency comparison to obtain a second comparison result, and according to the first comparison result and the second comparison result, determining a consistency verification result of the bill of materials and the CAD structure data. By adopting the method, the consistency checking efficiency of the bill of materials and the CAD structure data can be improved.

The invention discloses a bill of material management method and device, equipment and a medium, first material information (a first material code and a first material description) in an initial bill of material is converted into second material information (a second material code and a second material description), so that standardization and unification of the material information can be ensured; and errors and confusion caused by inconsistent coding and description can be reduced. Through the automatic conversion process, the step of manually processing the bill of materials is reduced, errors and delay caused by manual operation are reduced, the target bill of materials can be rapidly generated through the systematic conversion process, the preparation time from design to production is shortened, and therefore the production efficiency is improved.

The invention discloses a verification method and device for a vehicle bill of materials, a medium and a product, and relates to the field of informatization of the manufacturing industry, the method comprises the steps that a to-be-verified bill of materials is acquired, and the bill of materials comprises all material numbers of materials needed by one vehicle type and the hierarchical relation between all the material numbers; generating a tree structure of the bill of materials based on each material number and the hierarchical relationship; based on the tree structure, generating a standard format file for each material number, the standard format file being used for describing basic information of the material number in the tree structure; sending the standard format file to a pre-trained random forest model, so that the random forest model verifies the bill of materials, and outputting a verification result; and when the verification result is that the error exists, determining that the error exists in the bill of materials or the rule in the random forest model is missing. According to the invention, the accuracy and efficiency of vehicle bill-of-material verification are improved.

In one embodiment, a method includes determining, by a device executing an observability extension that monitors an application, variables of the application that specify an accessible location for a software bill of materials of the application and generating, by the observability extension, an indication of the accessible location for the software bill of materials of the application. The method further includes detecting, by the observability extension, creation of an observability-based data structure during monitoring of execution of the application and inserting, by the observability extension, the indication of the accessible location for the software bill of materials of the application into the observability-based data structure for transmission to an end recipient of the observability-based data structure.

A vehicle software bill of materials management service generates or updates a composite software bill of materials (composite SBOM) for a vehicle using one or more received software bill of materials (SBOMs). The vehicle software bill of materials management service allows a customer to define software artifact instances of the composite SBOM, including granularity of specificity and identity attributes. The vehicle software bill of materials management service maintains the composite SBOM and resolves conflict between different SBOMs. The vehicle software bill of materials management service resolves anomalies encountered during software artifact instance generation and enriches software artifact instances of the composite SBOM with additional metadata.

The invention relates to a product customization and configuration method and system based on a product model and a knowledge base. The method comprises the following steps: (a) associating a product structure model and a product knowledge base of a target product series; (b) constructing a product configuration model integrating a product structure model, a product knowledge graph and a configuration rule; (c) customer demand parameters are received, and a customized configuration scheme is generated through the product configuration model; (d) automatically generating a design material list and a process material list based on the customized configuration scheme; and (e) executing cost accounting according to the generated design bill of material and the process bill of material and outputting quotation data. The method has the advantages that the requirement of a user for customization can be met, the requirement for configuration can also be met, data such as technologies and processes can be automatically configured for the user, the data can be synchronously updated to related software systems such as PLM and PDM, and the intelligent design and intelligent manufacturing capacity of an enterprise is greatly improved.

The invention discloses a material picking management method and system, and the method comprises the steps: clicking a first interaction control on a first interaction interface to display a second interaction interface which displays a second interaction control and a bill of materials of materials to be picked; confirming the bill of materials, and clicking a second interaction control on a second interaction interface to obtain a material picking identification code; entering a preset material picking area and inputting a material picking identification code in a third interactive interface to generate a material picking list; the container code is input in a third interaction interface to determine a target item of the material picking list, and the target item is configured with a third interaction control; a third interaction control in the target item is clicked, a fourth interaction interface is displayed, and a fourth interaction control and a material storage list corresponding to the target item are displayed on the fourth interaction interface; and the material receiving amount of the material storage item is confirmed or adjusted, and a fourth interaction control is clicked to open a corresponding bin door of the material cabinet to receive the material. The reliability of material picking management can be improved.

The invention discloses a method and device for extracting a bill of material and title information in CAD and a medium, and the method comprises the steps: extracting an INSERT insertion object and an ATTRIB attribute object from a drawing object list of a CAD file, and taking the INSERT insertion object and the ATTRIB attribute object as filtering data; the BOM and the title information are extracted from the filtered data through a preset rule matching algorithm, and if extraction succeeds, the BOM and the title information are output; and if the extraction fails, extracting the BOM and the title information from the filtered data according to a preset dictionary matching algorithm, and outputting the BOM and the title information. According to the method, a dictionary matching and rule matching algorithm in NLP (Natural Language Processing) and text analysis is fully utilized to perfectly solve the pain point of manually inputting the BOM in the use process of an ERP (Enterprise Resource Management) system.

A system for generating a bill of materials comprising one or more product recommendations aligned with customer requirements, comprises a bill of materials processing device. The bill of materials processing device is configured to execute an AI-based recommendation engine. The recommendation engine is configured to receive customer data from one or more user inputs, retrieve product data from a product data source, and retrieve transaction data from a transaction data source. The recommendation engine includes a pre-processing module, training module, and inference module. The pre-processing module executes one or more pre-processing techniques to translate the data into a program-compatible format. The training module executes training and inference processes to generate the bill of materials. The training processes put the data in better condition for the inference module. The inference module uses two or more product recommendation processes to evaluate the data and to generate the BOM in a machine-readable format.

The invention discloses a construction cost evaluation system and method based on engineering list intelligent matching. The system comprises a block chain material account book module, a material supply and demand intelligent scheduling module and an abnormity self-healing processing module. The block chain material account book module is used for constructing a material full-life-cycle evidence storage network, the evidence storage network comprises purchasing, transportation, warehousing, receiving and final verification, data of each step of operation is uploaded to a block chain in real time, an NFT chip containing a unique two-dimensional code and RFID is implanted into each material package, and unique material identification and data non-tampering evidence storage are achieved; according to the system, the blockchain material account book module is used for carrying out chaining and evidence storage on data of the whole process of material purchasing, transportation, warehousing, receiving and verification, and each material is identified by a unique electronic chip. The whole life cycle information of the material can be completely and accurately recorded, and due to the non-tampering characteristic of the block chain, the authenticity and reliability of the data are guaranteed.

Techniques for using the software bill of materials (SBOM) for each of a plurality of applications in a system to intelligently allocate resources of the system, are disclosed. The SBOM for each of a plurality of applications may be generated. The plurality of SBOMs is analyzed to identify common components among the plurality of applications, wherein a common component is a component that is common to two or more of the plurality of applications. For each common component, the location where the common component may optimally execute is identified and an SBOM that corresponds to the common component is updated to indicate the location where the common component may optimally execute.

The invention belongs to the technical field of carbon emission, and particularly provides a port machinery equipment field bridge product carbon footprint accounting method and device based on a full life cycle. The accounting method comprises the steps of obtaining a bill of material of a to-be-accounting product and determining a production process flow, a functional unit, a raw material list and a carbon emission factor data list of the to-be-accounting product; determining an accounting stage of the life cycle of the to-be-accounted product based on the raw material list and the production process flow; based on the raw material list, the functional unit collects greenhouse gas activity data and carbon emission factors of the to-be-checked product in each checking stage; based on the carbon emission factor and the greenhouse gas activity data in each accounting stage, calculating the carbon emission of the to-be-accounting product in each accounting stage; and obtaining a carbon footprint value corresponding to each functional unit based on the functional units and the carbon emission of the to-be-checked product in each checking stage. According to the carbon footprint accounting method, the carbon emission data of each link of the full life cycle of the port machinery equipment field bridge can be clarified.

For generating a bill of materials and a corresponding bill of processes for a product, a natural language processing module maps at least one document specifying a product into a latent representation, which is an embedding in latent space. A bill of materials generator receives the latent representation as input and generates a bill of materials for the product. A user interface detects user interactions with the generated bill of materials and creates a curated bill of materials depending on the user interactions. A bill of processes generator receives the latent representation and the curated bill of materials as input and constructs a bill of processes for the product. The method and system, or at least some of their embodiments, provide semi-automatic generation of the bill of materials and bill of processes for a product, using an AI engine. Compared to manually setting up a bill of materials and / or bill of processes within a software-system, the approach of using AI for generating this information can significantly speed up the process of calculating costs and sustainability values of a product. In this way the time from request for quotation until submitting the actual offer can be lowered significantly.

Disclosed are various approaches for large language model (LLM) supply chain security. In one example, an LLM-extended software bill of materials can be extended to provide LLM specific supply chain information for an LLM application that communicates with an LLM service. The LLM-extended software bill of materials can be attached to the LLM application. An LLM specific security test can be performed on the LLM application. A signed LLM security test attestation can be attached to the LLM-extended software bill of materials based on completion of the automated LLM security test. The LLM application or the LLM-extended software bill of materials can be published or transmitted to a predetermined network endpoint.

A method for generating a bill of materials file includes a generation device obtaining target information, where the target information includes training dependency information, model composition information, and model metadata. The training dependency information is information about a training resource for training an artificial intelligence (AI) model. The model composition information is information about an intermediate model in a process of training the AI model, and the model metadata is attribute information of the AI model. The generation device generates a bill of materials file of the AI model, where the bill of materials file includes the target information.

The invention discloses a data processing method and device for a bill of materials, and a storage medium. The method comprises the following steps: determining a target price index corresponding to each index type in a plurality of price indexes included in a bill of materials to be processed; determining a calculation dependency relationship of the target price index according to the hierarchical relationship of the bill of materials; splitting the calculation dependency relationship of the target price index according to a preset splitting rule to obtain a plurality of sub-dependency relationships; establishing a first thread corresponding to each sub-dependency relationship; determining a calculation evaluation index of each first thread; and under the condition that the calculation rating index corresponding to the preset splitting rule meets a preset condition, determining the preset splitting rule as a target splitting rule corresponding to the calculation dependency relationship of the target price index. The calculation effect of the splitting rule is measured through the calculation evaluation index of each thread, so that the scientific and reasonable target splitting rule is obtained, and the calculation flexibility and efficiency are improved.

Machine learning techniques for construction. In an example, a computing system accesses a construction document associated with a construction project. The construction document includes pages. The computing system provides the pages to a first machine learning model to generate classified pages. Each classified page identifies a page type and a region. The computing system provides the classified pages to a second machine learning model to generate segmented pages comprising one or more objects. Each object corresponds to a building element. The computing system may analyze the one or more objects to determine coordinates and properties. The computing system may determine, from the coordinates and the properties, a bill of materials associated with the construction project.

Systems and methods for valve mounting kit design automation. Valve mounting kit (VMK) design systems and methods are presented that implement: a graphical user interface (GUI) configured to receive input from a user, the input defining at least one parameter for a VMK; and a computer-implemented rule engine configured to receive input from the GUI, apply a set of rules to the input, where the set of rules includes a rule-based relationship between the at least one parameter and a design of the VMK and a predefined case-based inference rule, and design a geometric parameter of the VMK based on applying the set of rules to the input, and generating a VMK design output via the automated design tool, the output including at least one of a master model, a manufacturing drawing, a computational report, or a bill of materials corresponding to the design of the VMK.

The invention relates to the technical field of plastic film production data management, and discloses a plastic film production process and BOM integrated maintenance and sharing method. According to the method, BOM (Bill of Material) and process route maintenance are integrated through a tree structure, and batch data generation with multiple selected materials and multiple production purposes is supported; a cross-material and cross-customer BOM and process route sharing mechanism is constructed, personalized configuration of process parameters such as the screw rotating speed and the temperature partition is associated, and the method adapts to a film production multi-process scene. The technical problems that traditional BOM and process routes are dispersedly maintained, reusability is poor, and parameter configuration is disjointed are solved, efficient management and reusability of production data are achieved, and the process adaptability and data collaboration efficiency of thin film production are improved.