192 results about "Product traceability" patented technology

The invention relates to the technical field of product traceability, in particular to a traceability system and method based on a block chain technology, and the system comprises a right confirmation registration module, a parameter verification module, a quality inspection label module, a logistics locking module and a traceability auditing module. According to the method, compliance evaluation is carried out by comparing environmental parameters bound with the operation time period and the land parcel information with an agricultural standard boundary, systematic judgment of land parcel growth conditions can be realized, confidence modeling is carried out on a quality inspection data layer based on a difference value amplitude and a batch mean value, credible label data of batch quality is formed, and the reliability of the quality inspection data layer is improved. Through sequence comparison of storage time periods and carrying timestamps and environmental parameter change frequency deviation judgment, abnormal carrying behaviors and storage fluctuation conditions can be identified, a traceability identification value and quality traceability code bidirectional verification mechanism is introduced in a query response stage, and credible labels, quality inspection states and position information are displayed in an aggregated manner. And the completeness, the accuracy and the result credibility of the traceability query result are obviously improved.

The invention discloses a product full-life-cycle traceability after-sales service system based on multi-source heterogeneous data, and relates to the technical field of product traceability after-sales management. Manufacturing resumes, work orders, spare part warehouse-in and warehouse-out and equipment logs are accessed, mapping of product instances, parts and software primary keys is established, and the product traceability after-sales service system is established. And normalizing the configuration change event into a configuration change event containing double time axes of effective time and warehousing time, and writing the configuration change event carrying differential operation, an evidence packet and an idempotent event identifier into an immutable event library. And constructing a conflict set for the same configuration target, executing uniqueness, causality and compatibility constraint verification, determining an effective event based on evidence packet arbitration, and outputting an arbitration record and confidence. And deriving a configuration version chain according to the effective event and generating a snapshot, performing incremental playback on the late or error correction event and generating an influence propagation list. And when any time point configuration is queried, playback restoration is performed, an evidence chain and confidence are output, an active verification backflow error correction event is triggered if the confidence is insufficient, and the accuracy of quality guarantee judgment and spare part matching is improved.

The invention provides a polyester fabric production whole process monitoring management method and system. The method belongs to the technical field of production process monitoring. The method comprises the following steps: deploying various types of sensors at each key node of a polyester fabric production line; various physical parameters and environment information related to polyester fabric production are collected in real time; meanwhile, an operation state monitoring system of the production equipment is integrated to obtain equipment data; carrying out deep fusion processing on multi-source heterogeneous data obtained from the polyester fabric production holographic sensing architecture; constructing a data association model; comprehensively evaluating the production situation based on the model in combination with the technological process and the quality standard of polyester fabric production; generating a production situation assessment report through production situation assessment; the whole-process data tracing system provides a traceable basis for quality disputes, raw material problems and the like, enhances the capability of controlling supply chain risks, meets the requirements of downstream customers on product traceability, and improves the brand credibility.

The invention discloses a dairy product traceability method based on a block chain, and relates to the field of dairy products, the dairy product traceability method based on the block chain comprises the following steps: S1, collecting dairy product production flow data, and dividing the data into a plurality of dairy product data blocks for storage; s2, obtaining traceability characteristic parameters, presetting a weight database to carry out weight distribution, and carrying out matching based on a weight distribution result; s3, presetting a dynamic traceability link generation mechanism according to the space-time coupling self-organizing model, and generating a dairy product traceability link; s4, presetting an adaptability threshold rule base, and performing adaptability evaluation; s5, optimizing and adjusting the dairy product traceability link, and updating the adaptability threshold rule; and S6, tracing the dairy product, and generating a multi-level visual tracing result. According to the invention, the dairy product production process data is packaged into the data blocks and stored in the block chain database, so that the integrity, traceability and tamper-proofing performance of the traceability data are guaranteed.

The invention relates to the technical field of cell preparation quality evaluation, in particular to a cell preparation whole-process quality intelligent evaluation system and a method thereof, and the system comprises a data acquisition module, a preprocessing module, a mining module, a modeling module, a report automatic generation module and a data storage module. The modeling module is used for constructing a cell product index evaluation system and a product traceability model and comprises a cell culture state evaluation model and an environment monitoring analysis module, and the environment monitoring analysis module is used for carrying out traceability analysis by using a time sequence convolutional neural network; the automatic report generation module intelligently evaluates the quality of the whole process and generates a report, the data storage module manages data and model storage, sharing and calling, the system constructs a cell quality evaluation system based on multi-dimensional data, integrates multiple dimensional indexes such as morphology, surface markers and functionality, realizes comprehensive evaluation, and improves the evaluation efficiency. And the one-sidedness of single index evaluation is avoided.

The invention discloses an agricultural product whole-chain traceability method and device, a medium and a product, and relates to the technical field of agricultural product traceability. The method comprises the following steps: obtaining traceability data of a target agricultural product at each node and generating a privacy compliance proof; performing data signature on the traceability data of the initial node and the privacy compliance proof in the trusted execution environment to obtain an encrypted traceability certificate; determining any one of the plurality of intermediate nodes and the final node as a target node, and in the trusted execution environment, performing data signature on the hash value of the previous node, the traceability data of the target node and the privacy compliance proof to obtain an encrypted traceability certificate of the target node; storing all the encrypted traceability vouchers to a side chain of the block chain; all the hash values are anchored to the main chain of the block chain; determining the hash value of the final node as a root hash value, and generating a traceability code; and in response to a query instruction, tracing and analyzing all the encrypted tracing vouchers step by step. By implementing the technical scheme provided by the invention, the authenticity of the original data of agricultural product traceability can be improved.

The invention relates to the technical field of agricultural product traceability, in particular to an agricultural product quality safety traceability method, which comprises the following steps: acquiring link traceability data of an agricultural product, and associating and binding the link traceability data with a preset traceability unit of the agricultural product to obtain an initial traceability unit; generating a sorting label based on the initial traceable unit, and pasting the sorting label on the initial traceable unit to form a target traceable unit; and scanning the sorting labels to obtain traceability information, and generating a traceability report according to the traceability information, thereby effectively solving the technical problem that quality safety responsibility is difficult to accurately position and trace due to supply chain link information disjunction in the agricultural product circulation process.

The invention discloses an automobile aluminum decoration plate product quality tracing method, and belongs to the technical field of product tracing, and the method specifically comprises the steps: firstly, generating a unique root identification code containing basic information for an aluminum decoration plate raw material, and enabling the root identification code to comprise three basic information including a supplier number, a material batch number and warehousing time; and deploying a terminal in key processes such as warehousing, stamping and oxidation to collect process data of the bound identification code in real time. And then integrating the data through a collection module to generate a complete quality file of a single product, and establishing an adjacent process parameter causal mapping model to form an abnormal tracing link. On the basis, a parameter monitoring boundary is set, and standard-exceeding early warning and abnormal batch locking blocking are achieved. Finally, a bidirectional tracing query channel is constructed, forward trajectory tracking based on identification codes and reverse raw material and process positioning based on problem features are supported, and whole-process quality control is achieved.

The invention discloses an accessory traceability management system and method for a watch movement, and relates to the technical field of product traceability management, and the method comprises the following steps: building an accessory traceability reflection management file, carrying out the structural recording of management data and carved code appearance features related to traceability collection, and storing the recorded data in a database; and based on the management data, an anti-radio frequency flash feature table for tracing acquisition risk assessment is generated. According to the invention, by establishing an accessory traceability reflection management file and an anti-radio frequency flash characteristic table, correlation identification of light source parameters and metal surface characteristics is realized, reflection interference is pre-judged in advance, and the acquisition rhythm is optimized; by misjudging a trigger point set to reconstruct an illumination and exposure mode and combining a reverse exposure dark window and a scattered light shadow to suppress mirror reflection, imaging is stable, carved codes are clear, and traceability identification accuracy and reliability are improved.

The invention provides a supply chain traceability management method and system based on a large model, and the method comprises the steps: carrying out the identity registration authentication of a supply chain participant, and obtaining the identity authentication information; carrying out block chain recording on the commodity production and circulation process based on the identity authentication information to obtain traceability data; analyzing and processing the traceability data through a large model, and identifying abnormal nodes; and responding to the traceability query request according to the abnormal node identification result, and generating a tracking report and credibility evaluation. Through the deep learning ability of the large model, malicious participants in the supply chain can be accurately identified, the credibility of the traceability data is improved, and reliable product traceability service is provided for consumers and supervision departments.

The invention relates to the technical field of agricultural product tracing, in particular to an agricultural product full-process tracing method and system based on a block chain, and the method comprises the following steps: S1, receiving the information generated by agricultural products in each link of a supply chain; s2, establishing association between the converted data records based on a predetermined rule, allowing a user to examine, modify or create the association between the data records, and defining explanatory association to obtain the data records containing the explanatory association; s3, displaying an evidence network formed by data records containing explanatory association in a mode of nodes and connecting lines, and allowing a user to select, organize and confirm one or more evidence paths; and S4, according to the evidence path confirmed by the user, extracting related data records and explanatory association thereof, and generating a compliance evidence packet with a predetermined structure. Diversified data and atypical operations can be effectively processed, structured compliance evidences are generated, and the reliability and credibility of a traceability system are improved.

The invention relates to the technical field of agricultural product traceability, in particular to an agricultural product traceability method and system based on the Internet of Things technology, and the method comprises the steps: obtaining a traceability full-link node of an agricultural product; agricultural product traceability data of each node is collected; performing first encryption processing on the collected agricultural product traceability data to generate encrypted traceability data; uploading the encrypted traceability data to a block chain network for evidence storage, and generating a block chain evidence storage hash value; acquiring an equipment identifier of the Internet of Things acquisition equipment corresponding to each node; generating an agricultural product unique traceability identifier based on the block chain evidence storage hash value and the equipment identifier; receiving a traceability query request of a user; calling corresponding encrypted traceability data from the block chain network based on the unique traceability identifier of the agricultural product; and decrypting the called encrypted traceability data, and obtaining decrypted agricultural product traceability data. According to the invention, the credibility and authenticity of agricultural product traceability information can be improved.

The invention provides a product traceability method and system based on a space-time code, a terminal and a storage medium, and belongs to the technical field of product traceability, and the method comprises the steps: generating a commodity code of a raw material; for each subsequent product processing link, all the commodity codes of the previous upstream link are scanned and analyzed, production subject identification information associated with each commodity code is acquired, and the validity of the production subject identification information is verified; when the production subject identification information is valid, analyzing a space-time code from each commodity code of a previous upstream link as a parent space-time code of a product of a current link; generating a commodity code of the current link product in combination with the space-time code of the current link product and the product identification information; and obtaining a traceability result. According to the invention, the product is identified by using the corresponding space-time code and the product identifier in each production link, and when the commodity code of the final product is scanned, the traceability can be carried out without manual intervention, so that the product traceability efficiency is effectively improved.

The invention relates to the technical field of traceability of a meta-universe platform, and discloses an agricultural product traceability system and method based on the meta-universe. According to the method, firstly, key events such as harvesting, farming operation, quality inspection and transportation of agricultural products in the whole process from planting to selling are automatically collected through a collection end, parameters and evidence hash values are spliced, a data abstract is calculated, digital signature is carried out, and it is ensured that a data source is credible; the gateway carries out triple defense line verification on the received data packet; then the data association module performs knowledge graph construction on the discrete events passing verification, quantifies the credibility of the causal relationship through multi-dimensional weight calculation, and finally determines a main causal path representing the most credible life trajectory; and finally, the upper chain traceability module adopts a mixed architecture of a Merkle tree and distributed storage, generates a digital fingerprint from the key information of the main path, stores the digital fingerprint in a block chain, stores a complete evidence packet in an IPFS, and finally provides immersive traceability experience capable of being verified by one key for consumers in the meta universe to form a closed-loop credible traceability chain.

The invention relates to the technical field of product traceability information management, in particular to a product traceability authentication full-process management system, which comprises the following steps of: determining equipment feature tags of different user types by analyzing equipment communication information in historical account login information, and matching current user equipment scanning information to identify the type of the current user equipment; historical browsing information is called based on the user type, the occurrence frequency of page browsing content and a node time coefficient are analyzed, a node content expression coefficient is calculated to generate information arrangement data, and finally the data are displayed on terminal equipment, so that a product full-process traceability data closed loop is realized, the authentication credibility is improved, and the user experience is improved. And meanwhile, the user type is accurately identified and the service is adapted, so that information redundancy is avoided, the terminal experience is optimized, the user acceptability is enhanced, and the problems of insufficient whole-process coverage and extensive service of a traditional system are further solved.

The invention relates to the technical field of manufacturing traceability, in particular to a product traceability method and system for an automatic laminating machine, and the method comprises the following steps: obtaining a head direction and state change, extracting a path direction and a code, recognizing a change node, judging a connection relation, connecting a path, and associating a task with a path number. And analyzing interval and station change, adding serial numbers, and writing task data to generate fitting process traceability chain content. According to the method, through dynamic data acquisition and analysis and whole-process monitoring and automatic recording of the fitting process, the real-time performance and integrity of data are improved, positioning of track change nodes and connection of path segments are achieved, state changes of each stage are kept to be captured in time, the states of the path segments and the stations are intelligently analyzed, linkage between links is optimized, and the efficiency is improved. The execution continuity is improved, human intervention and errors are reduced, the traceability from the task source to the execution process is enhanced, and the transparency and controllability of product quality management are improved.

The invention relates to the technical field of data processing, and discloses a fresh agricultural product full-link traceability management system, which comprises a data acquisition module used for acquiring original data representing the state of the data acquisition module; the artificial intelligence analysis module is used for processing the original data to generate an analysis result and a credibility score corresponding to the analysis result; an intelligent contract is deployed in the data write-in scheduling module, and the intelligent contract is used for receiving the analysis result and the credibility score; and the hierarchical block chain storage module is used for responding to the write-in instruction generated by the data write-in scheduling module. Through intelligent analysis and hierarchical block chain storage, quantitative evaluation and dynamic hierarchical storage management of source credibility of fresh agricultural product traceability data are realized, a main chain is effectively prevented from being polluted by abnormal data, a data closed-loop recheck mechanism is established, and the overall authenticity and reliability of traceability information are improved.

The invention provides an automatic detection system and method for an automobile projection lamp, and the system is provided with a testing machine table and an assembling machine table, and a feeding and discharging assembly, a tool carrier and airtightness detection assembly, a laser marking machine and a screw driving assembly are disposed around an annular assembling platform of the assembling machine table. The test platform comprises an imaging colorimeter detection assembly, an electrical performance test assembly and a mobile module, automatic assembly and functional test of the automobile projection lamp can be realized, and pattern detection and product traceability functions are effectively realized.

This invention relates to the field of product traceability technology, and more particularly to a product traceability method for PCB manufacturing. The method includes: acquiring multi-dimensional physical data; determining a global instability factor for the lamination process based on environmental thermal fluctuation characteristics, normalized resin flow rate, and normalized exposure time, wherein the global instability factor is positively correlated with these factors; determining a hole wall risk index by combining the global instability factor and the normalized standard deviation of hole wall copper thickness; determining the confidence weight of the graph edge transfer from one process node to another using the hole wall risk index and the normalized defect rate in the optical inspection area; constructing a transfer probability matrix based on the graph edge transfer confidence weight, and performing iterative calculations to output the traceability path of the printed circuit board. This invention improves the accuracy and precision of traceability reasoning for broken circuit board data.

The invention relates to the technical field of traceability systems, and provides an agricultural product traceability system which comprises a traceability commodity management module, a commodity traceability code generation module, a traceability code management module and a traceability code associated commodity information pushing module. The traceable commodity management module comprises a traceable commodity management list template construction unit, a commodity information management unit and a commodity information query unit; the commodity traceability code generation module comprises a traceability commodity related information template construction unit, a traceability code generation unit and a traceability code pushing unit; the traceability code management module comprises a traceability code management list template construction unit, a traceability code management list updating unit and a traceability code information query unit. According to the invention, tracing of agricultural products can be realized.

The application provides a polyester fabric production whole-process monitoring management method and system. It belongs to the technical field of production process monitoring. The method comprises the following steps: deploying multiple types of sensors at each key node of a polyester fabric production line; collecting various physical parameters and environmental information related to polyester fabric production in real time; simultaneously, integrating an operation state monitoring system of production equipment to obtain equipment data; performing deep fusion processing on multi-source heterogeneous data obtained from a polyester fabric production holographic perception architecture; constructing a data correlation model; based on the model, combining a process flow and quality standards of polyester fabric production, comprehensively evaluating a production situation; through production situation evaluation, generating a production situation evaluation report; a whole-process data traceability system provides traceable basis for quality disputes, raw material problems and the like, enhances the control ability of supply chain risks, simultaneously meets the needs of downstream customers for product traceability, and improves brand trustworthiness.

The invention relates to the technical field of supply chain engineering research and development, and particularly discloses a green supply chain collaborative optimization system and method, and the system carries out the standardization and time alignment through the access of energy consumption, production, transportation and platform data, generates process tracing, transportation tracing and order product tracing identifiers, and builds a tracing chain. Working procedure carbon emission and order carbon footprints are calculated based on an emission factor library and a vehicle model calibration table, carbon intensity observation values are gathered, a carbon intensity state quantity is updated with a smoothing coefficient 0.30, and meanwhile, supervision intensity, responsibility competing intensity and a green purchase proportion state quantity are constructed; during the operation period, rolling monitoring is carried out according to 7 days, and the responsibility competence intensity deviates from gt; 0.10, the green purchase proportion deviates from gt; and 0.08, triggering local re-optimization and issuing and writing back when the carbon intensity state quantity exceeds the limit, thereby realizing closed-loop cooperative regulation and control.

The invention relates to a method for applying zero-knowledge proof to block chain agriculture, and relates to the technical field of block chain agriculture, a low-power-consumption edge computing gateway is deployed to collect farmland environment and farming data, and growth stages such as a seedling stage and a vegetative growth stage are dynamically divided based on a crop growth date (GDD) model; business rules of all stages are compiled into an arithmetic circuit, and a lightweight zero-knowledge proof is generated in a trusted execution environment (TEE) by taking sensitive data as private input; after validity is verified and proved through the block chain smart contract, a content identifier (CID) is associated with a certificate and written into the chain; a consumer can inquire a series of verification results of the whole growth cycle through the agricultural product traceability code. According to the scheme, agricultural production data can be verified and invisible, triple contradictions of weak privacy protection, dynamic adaptation deficiency and field deployment obstacle in a traditional agricultural block chain are solved in a breakthrough mode, safe and efficient credible traceability infrastructure is provided for high-value agricultural products such as organic authentication, and the risk of commercial secret leakage is reduced through actual measurement.

The present application relates to the technical field of cold chain logistics Internet of Things and intelligent analysis of food safety data, in particular to a dairy product traceability management system based on a cloud platform, comprising: a multi-source heterogeneous data aggregation unit for generating an environmental state vector sequence; a quality manifold space mapping unit for fitting the discrete state vectors into actual transportation trajectory curves using a manifold projection algorithm; a trajectory curvature deviation analysis unit for extracting a Riemann curvature tensor feature and generating a damage scalar flow; a dynamic entropy increase index evaluation unit for generating a dynamic entropy increase index, a graded quality warning signal and a dynamic shelf life suggestion value; and an adaptive risk blocking and feedback unit for feeding the abnormal actual transportation trajectory curve data as negative samples to the quality manifold space mapping unit. The present application solves the defect that traditional discrete threshold alarms cannot identify process cumulative damage, and realizes precise control of dairy product quality.

The invention discloses a fresh product geographic indication and block chain dual authentication traceability system, and relates to the technical field of fresh product traceability, the system guarantees authority through dual authentication: geographic indication authority authentication and block chain technology are fused, so that the product is ensured to accord with the production place and quality standard through geographic indication authentication, and the traceability of the fresh product is ensured; the authentication information and the traceability data are ensured not to be tampered through block chain evidence storage, so that a'pseudo geographical indication 'product is effectively avoided, and the authority and the credibility of the traceability information are improved; data collection of the fresh products in the whole link from planting / breeding to selling is achieved through the Internet of Things equipment, the chain type storage structure of the block chain is combined, whole-process tracing from farmland to dining tables is achieved, data are transparent and can be checked, and the problem of information barriers in all links is solved.

The application provides an electric vehicle instrument electronic guide book implementation method and device and electronic equipment, and relates to the field of data processing. The working procedure position and working content of a worker in the production work of an electric vehicle instrument are acquired, and the worker wears AR glasses; electronic guide content is determined from the electronic guide book according to the working procedure position and working content, and a first image is generated; the first image is displayed to the worker through the AR glasses; quality detection information of the electric vehicle instrument sent by a detection device is received, the quality detection information includes operated step information, operated step completion time and defective product conditions, and the quality detection information is used to indicate whether the quality of the electric vehicle instrument is qualified; the quality detection information is marked in the first image to generate a second image; and the second image is displayed to the worker through the AR glasses. Through the reasonable combination of the electronic guide book and product traceability, the beneficial implementation of the electronic guide book is facilitated.

The invention provides a composite pultrusion product tracing and marking device, a production system and a method, and relates to the technical field of composite pultrusion product production, the composite pultrusion product tracing and marking device comprises a printing roller and an ink storage box, the printing roller is suitable for being connected with a pultrusion unit, and the pultrusion unit is used for pultrusion a composite into a composite pultrusion product to be output; the composite pultrusion product is provided with a printing face facing the peripheral face of the printing roller, the peripheral face of the printing roller can make rolling contact with the printing face, and when the composite pultrusion product moves in the conveying direction of the printing roller, the printing roller rotates relative to the composite pultrusion product under the action of friction force between the printing roller and the printing roller; printing patterns are arranged on the peripheral face of the printing roller, the ink storage box is provided with a first containing cavity used for containing ink, the first containing cavity is connected with the printing roller to guide the ink to the printing patterns, and the printing patterns can print marks on the printing face. The labor cost, bar code label wrong pasting and identification error risks are effectively reduced, and the identification efficiency is improved.

The invention provides a quality safety traceability management method and system for food processing, and belongs to the technical field of Internet of Things and product traceability. The method is applied to a plurality of users of a plurality of man-machine interaction terminals, and comprises the following steps: S100, when the current user of the man-machine interaction terminal is identified to have a source tracing intention, judging whether the current user has a source tracing permission, and if so, entering the next step; s200, prompting a user to generate target traceability information; s300, generating, updating or displaying a quality safety traceability feature code based on the target traceability information; the target traceability information comprises quality safety control information related to a food processing link. The system is used for implementing the method. According to the scheme, exclusive identification and authority are set according to identities, producers are generated, link participants are updated, inspectors check feature codes, full-chain participants from producers, processors, transporters, sellers to inspectors are covered, and quality safety information tracing of food in the full life cycle from production to sales is achieved.

This application relates to the field of data processing technology, and provides a data processing method and system for multimedia smart meters based on big data. The method includes: acquiring production visual data and production environment data of the coating on a coating production line collected by the smart meter; the production environment data includes production sensor data, production material data, or production operation data; performing image analysis on the production visual data based on the production environment data to obtain the production status information of the coating; and storing the production status information of the coating for product traceability. This can improve the efficiency of generating defect perception.

The present application relates to the technical field of product traceability, and in particular to a full life cycle traceability method and system for smart supply chain, which solves the technical problem of poor model generalization ability in the traceability process caused by data missing and the dependence of artificial intelligence model on high-quality labeled data and high-computing power cost in the prior art. The method comprises: constructing a standardized traceability benchmark database with a globally unique identifier as the primary key; analyzing the business correlation strength between each link and the target batch and the business causal correlation between different links, determining the completion value of the missing data and the credibility of the completion value; according to the credibility and the original labeled data, automatically labeling the completion value and determining the false noise index; filtering the completion value according to the false noise index, fusing the filtered completion value, the labeled data and the original data, and constructing a full life cycle closed loop traceability link with the globally unique identifier as the main line.