41 results about "Product traceability" patented technology

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 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.

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 livestock traceability technical field, specifically for livestock meat slaughtering, cutting and packaging traceability method and system based on internet, the method comprises: collecting quarantine information of livestock individual, obtaining initial traceability data; according to initial traceability data, determine the slaughter batch code, and the initial traceability data source is bound with the slaughter batch code, and the slaughter credible data package is obtained; based on the slaughter batch code, the cutting operation process information of livestock individual is tracked and filed in real time, and the cutting link data chain is obtained; based on the cutting link data chain, the multi-dimensional quality of livestock individual is judged, and the comprehensive quality index is obtained; based on the comprehensive quality index, the intelligent matching planning of meat product is carried out, and the packaging batch planning is obtained; based on the packaging batch planning, the livestock individual is coded and identified, and the product traceability code is obtained; the present application can improve the efficiency of livestock meat slaughtering, cutting and packaging traceability based on internet.

The application discloses a kind of agricultural product yield quota and traceability label virtual-real anchoring method and system, specifically related to agricultural digitization and agricultural product traceability management field, method includes obtaining authorized yield data and discretizing it into digital yield quota unit, establish yield quota pool and manage quota state by yield quota conservation anchoring model;After receiving label generation request, execute dynamic yield credibility correction model and freeze quota;Label printing task is sent to internet of things printing equipment;Generate receipt data and verify through label quota atomic consumption algorithm, ensure that yield quota and label generation are consistent;Upload receipt verification data and update available quota of quota pool.System adjusts yield data in real time, dynamically freezes and restores quota state and can be trusted printing verification, solve the problem of label overissue and data inconsistency, improve the credibility and traceability of traceability label, provide efficient, safe and dynamic adjustment solution for agricultural product traceability.

The application discloses an agricultural product wholesale intelligent transaction terminal and a transaction method thereof. The agricultural product wholesale intelligent transaction terminal comprises a display unit, an identity acquisition unit, a transaction card read-write unit, a communication unit and a processor. The processor displays a transaction main interface through the display unit, generates or verifies a transaction card in response to a triggering operation on a transaction card management entrance, acquires recommended merchants, recommended goods and a purchase route and performs navigation display in response to a triggering operation on a wholesale shopping guide entrance, and completes transaction card deduction and uploads transaction records to a service platform for settlement and inventory linkage. After the transaction records are uploaded, the service platform triggers inventory deduction, fund settlement, blockchain evidence preservation and data analysis. Through deep cooperation between the intelligent transaction terminal and the service platform, integrated and automated linkage of transaction payment and settlement is realized, and main and auxiliary card management, wholesale shopping guide intelligent recommendation and agricultural product traceability query are supported.

This utility model relates to the field of casting technology and discloses a device for quickly identifying the flow sequence of a cast billet. The device includes a billet exit section vision system, a flow sequence binding module, and a fixed numbering unit. The billet exit section vision system is installed above the post-cutting conveyor roller (1) and the steel transfer machine (2) to capture the number and position of the cast billet (3) in real time. The flow sequence binding module is configured to associate the number of the cast billet (3) with the flow sequence information through an image processing server and transmit it to the display screen (4) for real-time display. The fixed numbering unit is configured to communicate with the flow sequence binding module and spray numbers onto the cast billet (3) after it has been collected and unloaded according to the binding information. This device for quickly identifying the flow sequence of a cast billet simplifies roller operation, improves work efficiency, realizes the identification of flow sequence information, and makes product traceability more convenient and accurate.

This invention relates to the field of intelligent manufacturing technology, and particularly to an IoT-based system for coding and integrating home furnishing products into an ERP system. The system uses a production sensing module to verify the historical convergence of equipment operating parameters via Mahalanobis distance to obtain equipment status confidence. A coding decision module generates a target coding strategy based on the fusion characteristics of production data and an environmental disturbance index compensation model, and then filters it using a strategy effectiveness prediction model. An edge verification module achieves dynamic error correction and dynamic reconstruction of error-correcting codes through bidirectional verification of code graph semantic integrity and a conflict resolution decision matrix. An ERP synchronization module achieves causal consistency updates of inventory status through topological sorting of the coded data causal graph and transaction compensation. A quality traceability module constructs a product traceability knowledge graph to achieve entity disambiguation and data lineage traceability. This invention solves the technical problems of data silos and broken traceability chains in production coding and ERP systems.

This application provides a blockchain-based method and system for agricultural product traceability, comprising: collecting environmental and operational data of agricultural products during planting, storage, and logistics stages via IoT devices to generate end-to-end raw data; encrypting the raw data and storing it on a consortium blockchain to generate a traceability QR code containing a data index; generating end-to-end traceability information based on the consortium blockchain data, allowing consumers to query by scanning the code; and monitoring the consortium blockchain data in real time, identifying anomalies based on preset thresholds, and pushing early warning information to relevant entities. This method improves the transparency, authenticity, and efficiency of anomaly handling in agricultural product traceability, providing efficient and reliable technical support for the agricultural supply chain.

Embodiments of the present disclosure disclose a blockchain-based distributed trusted transmission mechanism for an agricultural product traceability system and method. A specific embodiment of the system includes: a data perception layer configured to: acquire agricultural product traceability information through an information collection device; and generate a signed data package based on the agricultural product traceability information and a terminal private key; a network transmission layer configured to: broadcast the signed data package to a blockchain service layer; the blockchain service layer configured to: store the signed data package on a chain through each blockchain node; send each on-chain stored data to an application presentation layer according to a data request for an agricultural product number; the application presentation layer configured to: parse a query request to generate an agricultural product number, and initiate a data request to the blockchain service layer according to the agricultural product number; and generate a visual web page based on each received on-chain stored data. The embodiment improves the reliability and security of the traceability information.

The application discloses a kind of traceability and anti-fake system of intelligent cooking food box, including equipment terminal, for entering traceability information and writing information code with information parameter;Traceability data storage is connected with equipment terminal data;Logistics module is connected with traceability data storage data;Consumer terminal is connected with traceability data storage data;Management module is connected with consumer terminal and traceability data storage data.The application can track data to food box from processing, distribution and warehousing, and information query and comparison can be effectively realized in consumer terminal, so that product traceability and true-false identification can be effectively realized, so that users can better understand the origin and quality assurance of food material, improve brand trustworthiness, and have strong applicability.

The application discloses a kind of edible agricultural products traceability and supply chain management system, the present application relates to agricultural product supply chain informatization and data credible management technical field, including: data acquisition and authentication module, for from the multiple terminal equipment deployed in agricultural product production end Multimodal source data acquisition, and the identity authentication of production subject, the multimodal source data includes environmental sensing data, operation event data and key node image data.The edible agricultural products traceability and supply chain management system, the adaptability of model to diversified production scene and unknown abnormality is improved, realizes from production to the whole process coherent depiction and visual analysis of sale, via independent double engine verification and consensus mechanism processing data, cross-chain storage is authenticated after through oracle network, while guaranteeing sensitive information privacy, ensure the consistency and public credibility of traceability information in complex cooperation network.

This invention discloses a rapid scanning device for agricultural product traceability with anti-fouling and cleaning functions, relating to the field of data acquisition technology. The rapid scanning device for agricultural product traceability includes a scanning mechanism and a cleaning mechanism. The scanning mechanism has centrally symmetrical support mechanisms on both sides. The scanning mechanism includes a scanning chamber with a scanning groove on its lower surface, and a scanner is fixedly embedded in the inner wall of the scanning groove. A protective cover is fixedly fastened to the lower side of the scanning chamber through the scanning groove. A disc assembly is provided at the lower part of the scanning chamber. The scanning mechanism is connected to a cleaning air-jet mechanism via the disc assembly. The air-jet mechanism includes an annular frame ring, with vertical columns evenly and equidistantly fixed to the lower end face of the frame ring, and a support frame inserted through the vertical columns. An air-jet assembly is movably mounted on the end of the support frame via a torsion spring shaft. The air-jet assembly can remove dirt from the surface of the protective cover, improving the cleanliness of the protective cover surface and increasing scanning accuracy.

This invention discloses a method and apparatus for determining the compliance of logistics routes based on semantics, relating to the fields of supply chain digitization and product traceability. One specific implementation of the method includes: normalizing tag events from different systems to generate a standardized route structure; constructing a standard task rule graph based on the standardized route structure; and determining the compliance of the logistics route based on the actual route and the standard task rule graph. This implementation standardizes the modeling and compliance judgment of tag event behavior in multi-platform, multi-device, and multi-task scenarios. By identifying node types and completing node semantics, it improves the modeling capability, accuracy, and efficiency of compliance judgment for RFID route behavior in complex business scenarios.

This invention relates to the field of logistics technology, specifically to a traceability management method and system for industrial products. The method includes the following steps: reading operation count values ​​and timestamp values; matching segment numbers according to a segment interval table; reading batch codes and product serial numbers; combining node numbers with entry and exit times; comparing the number order to supplement information; and associating segments with product codes to obtain product traceability information. In this invention, by reading equipment operation count values ​​and matching them with timestamps and operation segment interval tables to generate equipment operation segment information, and combining this information with the production line equipment number sequence to write into the product identifier, the ability to present production status and sequence is improved. In the logistics flow, by comparing the entry and exit time sequences and establishing a continuous relationship by combining scan numbers with preceding numbers, and associating node sequences with equipment operation segments and product codes, a continuous link between production stages and logistics flow is constructed, reducing the impact of mis-ordered records on product origin determination.

The application belongs to the technical field of digital agriculture, and particularly relates to a blockchain traceability data management platform for digital agriculture, wherein the system comprises an agricultural product supply chain informatization module, a trust value quantification module, a two-dimensional code generation module, a local two-dimensional anti-fraud verification module and a traceability query module. The scheme constructs a distributed blockchain ledger network suitable for the agricultural product supply chain, allocates unique on-chain identity and permission to each link participant, generates a basic two-dimensional code bearing core data through a two-dimensional code generation library, triggers a smart contract to calculate a trust value in real time and uploads the trust value to the chain during traceability query, calculates a local hash value by extracting an on-chain identity embedded in a two-dimensional code to be detected, and compares the local hash value with a preset authorization list to complete legality verification, realizes real-time two-dimensional anti-fraud verification of the two-dimensional code without network dependence, can accurately trace and immediately intercept a counterfeit behavior, and provides a full-process anti-counterfeiting and traceable trust guarantee for agricultural product traceability.

The present application belongs to the technical field of dairy detection and traceability, and particularly relates to a buffalo dairy species identification method and system based on oligosaccharide spectrum and a logistic regression model. The method comprises: detecting the content of seven characteristic oligosaccharides (3FL, 3SL, 3SLN, 6SL, Le-XT, LNnT and LNT II) in a to-be-detected milk sample; inputting the content data into a pre-trained logistic regression classification model to obtain a prediction probability; and outputting an identification result according to the prediction probability. The present application firstly determines that the combination of the seven oligosaccharides can be used as a stable and efficient identification marker, and a classification model is constructed based on this. The identification accuracy of the method can reach 100%, the stability is good, the method is suitable for rapid and objective species identification of raw milk and processed milk, and has important application value in the field of dairy product quality control and product traceability.

The invention discloses a product traceability management system and method based on agricultural product popularization, and relates to the technical field of agricultural product traceability management. Sub-region division is carried out based on the target agricultural product growth image data, the real-time growth environment in each sub-region is evaluated, and the growth state of the target agricultural product is analyzed in combination with the evaluation data; establishing a difference analysis model to perform difference analysis on the growth states of the target agricultural products in the sub-regions, and determining the integration difference degree of the growth states of the target agricultural products in the sub-regions; the target agricultural product growth state balance difference degree is obtained by combining the target agricultural product growth state integration difference degree of each sub-region, and the abnormal growth state of the target agricultural product is determined; outputting a maintenance instruction based on the abnormal growth state distribution condition of the agricultural products in each sub-region; according to the invention, full-automatic supervision and accurate abnormity judgment of agricultural product growth monitoring are realized.

This invention relates to the field of blockchain data processing technology, specifically to a blockchain-based product traceability and authentication big data management method, comprising the following steps: S1: Encapsulating the initial on-chain record of the product to be traced within an authentication shell; S2: When subsequent transfer records are written, detecting whether the subsequent transfer records exceed the authentication semantic boundary, generating a semantic boundary-crossing blocking unit; S3: Performing shell-in-shell shrinkage processing on the subsequent transfer records, generating a domain-limited attachment unit; S4: Determining the attachment permissions of the subsequent transfer records to the initial on-chain record based on the domain-limited attachment unit, generating a final authentication output unit and writing it to the blockchain. This invention, by constructing an authentication semantic boundary and introducing a semantic boundary-crossing shrinkage and hierarchical attachment mechanism, achieves controlled correction and hierarchical authentication of boundary-crossing semantics while ensuring the semantic consistency of traceability data, thereby improving the data availability, continuity, and overall credibility of the traceability system.

This invention relates to the field of production quality control and product traceability technology, and discloses a full-process visual traceability method and system based on production site data. The system includes multi-source heterogeneous data collection and anomaly warning and visual traceability links for the entire production process. The steps are as follows: S1. The strongly coupled operating condition parameter data of each process node in the collected production process are decoupled based on a multivariate adaptive regression model. The cross-coupling influence between multiple parameters is removed, and the independent marginal contribution of each single parameter to the quality result of the corresponding process is quantified. The decoupled independent feature sets of each process traceability node are generated and output. This invention constructs a correlation model between parameters and quality results using the decoupled pure feature data, and uses a logistic regression model to generate an initial dynamic compliance threshold range adapted to the current production scenario. This effectively replaces traditional fixed thresholds, improving the accuracy of threshold generation and scenario adaptability from the modeling source.

This invention relates to the field of product traceability technology, specifically to a full lifecycle traceability method and system for intelligent supply chains. It addresses the technical problem of poor model generalization ability in the traceability process due to data gaps and the reliance on high-quality labeled data and high computing power costs of existing artificial intelligence models. The method includes: 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, as well as the business causal relationships between different links, to determine the imputation value of missing data and the reliability of the imputation value; automatically labeling the imputation value and determining the false noise index based on the reliability and the original labeled data; filtering the imputation value based on the false noise index; and merging the filtered imputation value, labeled data, and original data to construct a closed-loop traceability link for the entire lifecycle with a globally unique identifier as the main thread.

This application discloses a method, apparatus, device, and medium for generating dot matrix codes, belonging to the field of product anti-counterfeiting. The method includes: acquiring a digital string to be encoded carrying product traceability information; mapping the digital string to a logical information stream according to preset rules; acquiring a first information stream segment at a preset field position in the logical information stream; determining the load data segment corresponding to each dot matrix code sub-image in the logical information stream based on the first information stream segment; acquiring a preset background texture for each dot matrix code sub-image; generating a dot matrix code sub-image corresponding to each load data segment based on the first information stream segment, combined with the physical space attributes corresponding to each dot matrix code sub-image and the corresponding background texture; and splicing the dot matrix code sub-images to obtain a dot matrix code. This application can improve the anti-counterfeiting capability of dot matrix codes.

This invention discloses a logistics data management system and method for product traceability, relating to the field of logistics data management technology. It constructs an intrinsic database of plastic deformation of packaging microtextures, establishes a quantitative mapping relationship between logistics operating parameters and microtexture plastic deformation, performs sub-pixel-level standardization preprocessing on real-time microtexture images, completes registration with the original microtexture features from the factory, and calculates the global deformation offset matrix. It matches the plastic deformation gradient field template under the corresponding operating conditions, and uses a residual decoupling algorithm to decompose real-time deformation features, obtaining intrinsic plastic deformation components and abnormal / forged components. Based on the decomposed components, it completes routine legality judgment, while performing differentiated verification for four special situations, completing full-chain product traceability verification and data archiving, and iteratively optimizing the mapping template. This invention accurately decomposes the legitimate and abnormal components in real-time deformation using a residual decoupling algorithm, eliminating traceability interference caused by external forces in the logistics process.

This invention relates to the field of agricultural product quality monitoring, specifically to a method for monitoring abnormal events in the agricultural product traceability chain, comprising: S1: defining batch coding rules and an event type dictionary, and establishing a traceability relationship model; S2: based on the traceability relationship model, deploying sensor data acquisition devices at key control points in the agricultural product traceability chain, and deploying edge computing gateways at each location to complete the reliable uploading of data to the blockchain; S3: unifying data from different sources to a standard timeline, establishing association keys by batch, location, and device, and preprocessing the data; S4: constructing an anomaly detection model, including time-series prediction, visual anomaly, rule-based anomaly, and graph anomaly models, and performing anomaly detection based on the preprocessed data; S5: calculating risk scores using an evidence fusion strategy and obtaining output alarm packets; S6: based on the output alarm packets, performing source tracing and impact range assessment based on the traceability relationship model. This invention effectively improves the efficiency and reliability of agricultural product quality anomaly monitoring.

This invention belongs to the field of flow battery stack technology, and discloses an automated, large-scale continuous assembly system and method for battery stacks, as well as its application. An automated assembly line for endplate A of the battery stack is connected to an automated vision recognition mechanism. Products from both this line and the automated assembly line for endplate B of the battery stack are transferred to an automated stack stacking production line, which is equipped with gripping, visual inspection, and support mechanisms. Subsequently, the products sequentially pass through an automated assembly line for battery stack components (equipped with pressing, straightening, and fastening mechanisms), an automated battery stack airtightness testing line, a battery stack inspection line assembly mechanism, and an automated battery stack performance testing line, finally arriving at the finished battery stack area. This fully automated assembly line achieves intelligent manufacturing in terms of material management, quality control, automated production lines, cycle time matching, automatic flow, and product traceability.

This invention relates to the field of product traceability technology, and in particular to a blockchain-based method, apparatus, equipment, and medium for tracing agricultural products. The method first encrypts and signs the acquired preprocessed data to obtain encrypted signature data. Based on preset traceability business rules, traceability metadata is generated. The encrypted signature data and traceability metadata are encapsulated into an on-chain transaction using a blockchain SDK. The on-chain transaction is verified by a preset blockchain consensus node cluster. If verification is successful, the on-chain transaction is written to a distributed ledger to obtain on-chain traceability data. The method then obtains the category of the agricultural product to be traced, calls a pre-trained adaptive quantification model to perform matching calculations based on the category of the agricultural product to be traced and the traceability metadata, generates a traceability process and data display template, and retrieves the corresponding target on-chain traceability data from the distributed ledger based on the traceability process and data display template for display. This aims to improve data credibility and traceability efficiency.