13 results about "Batch Identifier" patented technology

The application relates to a factory data management method, system, terminal and storage medium, and relates to the field of data management.The method comprises the following steps: receiving an original data stream; performing timestamp alignment processing on the original data stream to obtain a standardized data sequence; extracting a production batch identifier and a process identifier in the standardized data sequence; generating a process sorting sequence corresponding to the production batch identifier based on the process identifier and a process sequence; grouping data items belonging to the same production batch identifier in the standardized data sequence according to the process sequence, and outputting process-level data records corresponding to the production batch identifier; extracting process parameters having a transmission relationship between adjacent processes, and calculating deviation values between the process parameters; when the deviation value exceeds a deviation threshold value, determining a parameter correction amount from a rule library according to a process position and a parameter deviation direction, and correcting the process parameters of an abnormal process node. The application has the effects of improving production operation efficiency and guaranteeing product quality.

This disclosure provides a method for optimizing temperature control during the baking process of seals in injection molding machines, including: generating batch identifiers based on batch information output by the injection molding machine and establishing a baking process archive; setting target material state and consistency judgment thresholds; collecting oven cavity temperature data, seal surface temperature data, and oven cavity gas characteristic data to form a process data stream after cleaning and calculating a set of state features; inputting the set of state features into a material state estimation model to obtain material state indicators and state compliance, and calculating consistency deviation to generate a set of control feedback quantities; under the constraints of maximum allowable temperature, maximum heating rate, zone temperature difference, and anti-over-baking, using a wolf pack algorithm to optimize and solve the temperature control execution quantities and perform closed-loop iterative updates; when the state compliance meets the target material state, the consistency deviation does not exceed the consistency judgment threshold, and the anti-over-baking constraint is not triggered, executing termination control and archiving the temperature control strategy sequence.

This invention belongs to the field of construction quality control and information technology for water conservancy and hydropower projects, specifically relating to a quality traceability system and method for asphalt panels in pumped storage power stations based on strip identification. It addresses the industry pain point of "data silos" formed by isolated storage of data at various construction stages, and the fragmentation of quality information leading to difficulties in fully tracing the overall quality history of the project. Key technical points: The system includes: a data acquisition module for collecting process data from each stage; an identification generation and binding module for dynamically and logically binding mixing batch identifiers, transport vehicle tags, and construction strip identifiers to the corresponding process data collected at each stage; a data integration and storage module for establishing a construction process-wide associated database with the construction strip identifiers as the core association key; a quality traceability analysis module for performing at least one traceability analysis based on the associated database; and a visualization query and output module for visually displaying the traceability analysis results.

The application provides a MES system operation data flow asynchronous processing method, and belongs to the technical field of MES systems.The application collects material flow data by deploying multilevel sensors and distributes globally unique batch identifiers, calculates Lyapunov exponents, correlation dimensions and Kolmogorov entropy to identify and isolate abnormalities by using a phase space reconstruction anomaly detection module, calculates an entropy increase index for normal data and optimizes resource allocation by a double-layer game scheduling model, dynamically adjusts a back pressure threshold according to a resource allocation scheme and starts a fuse degradation strategy, performs cross-batch correlation analysis and corrects timing through a delay compensation mechanism, and adaptively adjusts a processing mode according to risk assessment parameters, thereby solving the technical problem of system stability decline caused by abnormal data propagation and pollution of downstream processing results in the asynchronous processing of batching operation data flow.

This invention relates to the field of intelligent manufacturing data management technology and discloses a blockchain-based SMT production data traceability method. The method includes cleaning and standardizing heterogeneous data from the SMT production line, assigning identifiers to batches, and submitting the data for blockchain consensus verification. After verification, on-chain feature extraction is performed to generate data feature vectors containing key process parameters and quality indicators. These vectors are then bound to batch identifiers and stored in a blockchain Merkle tree. When traceability is required, the production health status is analyzed by retrieving the feature vectors of specific batches and performing pattern recognition. Once an anomaly is detected, the depth and scope of traceability are dynamically initiated and precisely customized based on the anomaly pattern characteristics. This method combines the tamper-proof characteristics of blockchain with intelligent data analysis, solving the problems of high data storage pressure and low traceability efficiency in traditional methods, and achieving efficient and accurate intelligent traceability.

A system and method for monitoring the operating status and optimizing the production process of fuel cells based on multi-source data fusion is disclosed. By assigning a unique batch identifier to each fuel cell unit, production process data generated during the production phase is continuously correlated with operational data collected during the fuel cell operation phase, constructing a multi-source data set covering the entire fuel cell lifecycle. The operational data is preprocessed, and status indicators reflecting long-term performance changes in the fuel cell are extracted to generate operating status monitoring results. Based on these results, sensitivity analysis and optimization of production process parameters are performed, and the optimization results are fed back to the production system to adjust the production of subsequent batches of fuel cells, forming a closed loop of operating status monitoring and production process optimization. This system can improve the consistency, reliability, and safety of fuel cell products under complex operating conditions.

This invention discloses a multi-node anomaly detection method for an intelligent centralized management and control platform, relating to the field of intelligent process automation centralized management and control technology. This invention generates stage tokens for business objects and binds these stage tokens to a business stage-execution node association graph, thus associating the processing states of multiple execution nodes and business stages within the same business batch under the same batch identifier. The platform generates anomaly observation sets based on stage token migration status, execution token distribution, stage state duration, and anomaly fingerprints. When multiple business stage nodes simultaneously have anomaly observation sets, it filters business stage nodes with token dependencies based on the directed flow relationship of the current process template version, thereby determining the anomaly source stage, affected stage, and anomaly attribution category. This allows the stage stagnation state in batch concurrent processes to be attributed to the corresponding business stage and corresponding execution node, forming a multi-node anomaly detection result associated with the business object.

This invention relates to the field of municipal road maintenance and road material recycling construction technology, and particularly to an end-to-cloud collaborative integrated hot-mix and cold-laying construction method for municipal road material recycling. The end-side control unit generates a batch identifier for recycled materials and uploads it to the cloud-side control platform. The cloud-side control platform constructs a prediction model based on the batch characterization data. The cloud-side control platform sends the parameter boundary set, constraint proof data, parameter version identifier, and validity conditions to the end-side control unit. The end-side control unit controls the construction equipment to complete milling, heating and dispersing, hot mixing, cold paving, and compaction, collecting construction measurements to form a residual vector. When the residual vector meets the deviation judgment condition, the end-side control unit sends the residual vector to the cloud-side control platform. The end-side control unit updates the parameter boundary set according to the differential parameter package and rolls back to the previous parameter version identifier when the rollback condition is met. This invention achieves dynamic generation and online adjustment of construction parameters to meet workability and compaction quality constraints.

This invention relates to the field of data management and distributed caching technology in the coal industry, particularly a distributed cache storage management system for coal transportation and washing data. The system executes the following steps: S1, binding production data to a unique batch identifier of incoming raw coal and a coal flow characteristic tag; S2, constructing a spatiotemporally coupled cache index to complete cache data addressing mapping; S3, aggregating and storing data to corresponding cache nodes to complete differentiated cache partition deployment; S4, outputting a priority scheduling strategy; S5, outputting a cross-network synchronization control strategy; S6, dynamically adjusting the lifecycle of corresponding batch cache data and outputting lifecycle configuration rules; S7, iteratively updating to adapt to on-site production needs. When quality problems such as excessive ash content in refined coal occur, the entire process data can be traced back through batch identifiers to quickly locate abnormal links. Simultaneously, it provides a precise data foundation for subsequent cache aggregation and hierarchical scheduling, significantly improving the refined management level of coal washing production.

This application provides an evidence chain verification and reliable traceability method for low-carbon building materials data entry, relating to the field of data processing. In this method, a quota pool is constructed around the batch identifier of building materials, and multiple quotas and rules are solidified. An irreversible consumption bill stream is generated based on the production window and written into the evidence chain, executing automatic deduction linkage to form a deduction voucher sequence. During the entry stage, a quota-based entry request with a bound interpretation path is generated, forming a quota payment declaration. A mutually exclusive payment threshold verification determines whether the data is confirmed for entry or enters a temporary storage state. For the temporary storage state, external witness fragments are introduced to implement restricted corrections and generate a correction voucher sequence. Finally, a quota traceability package containing full-chain vouchers is output, achieving reliable traceability throughout the entire process. Implementing the technical solution provided in this application facilitates the introduction of a process-rhythm-oriented coupling analysis mechanism during the carbon emission data entry process, enabling abnormal emissions masked by production rhythms to be explicitly revealed and reliably solidified.

The present disclosure provides a data processing method, system and electronic device for virtual EAP in a semiconductor EAP system, the method comprising: receiving an incoming instruction for a target device, and sending an incoming request carrying a current batch identifier to the MES to establish a job association between the current batch and the target device in the MES; in response to the received data acquisition instruction, scanning a preset output directory of the target device, and according to an analysis rule matched with the target device, analyzing a target result file under the output directory to extract metrology data; sending the metrology data to the MES, and receiving a quality judgment result fed back by the MES based on a preset specification limit; and configuring an executable state of an outbound operation control according to the quality judgment result; wherein if the quality judgment result indicates a failure, the outbound operation control is set to a locked state to prevent the current batch from flowing to a next station, thereby realizing closed-loop quality control of a non-standard machine.

This invention discloses a method for generating vouchers by linking inventory, financial, and tax data for e-commerce SaaS, belonging to the field of integrated e-commerce financial and tax processing technology. The method first constructs an inventory tax identity tagging system, generating a unique tag for each batch of incoming inventory containing a unique batch identifier, purchase invoice association information, and tax identity status. A business event listener monitors order status change events on the e-commerce SaaS platform in real time, locking down the corresponding inventory batch and establishing a relationship based on the order's product details. Then, it automatically generates corresponding tax vouchers based on different reasons for outbound shipments. Simultaneously, it includes business fingerprint storage, business-financial-tax consistency verification, tax processing for returned goods resale, and an adaptive mechanism for multi-platform settlement rules. This invention enables real-time linkage and full-chain closed-loop traceability of business, financial, and tax data, improving the efficiency, accuracy, and compliance of financial and tax processing in e-commerce scenarios.

This invention discloses a method, system, electronic device, and storage medium for the full lifecycle management and traceability of quinoa germplasm resources. The method uses AccessionID (unique germplasm identifier), LotID (unique batch identifier), LocationID (location identifier), and EventID (event identifier) ​​as its core, binding physical containers to database records one-to-one, and recording events throughout the entire lifecycle of operations, including warehousing, sampling, packaging, transfer, rejuvenation updates, quality inspection, inventory, external distribution, and disposal. Event records are written to a tamper-proof event ledger using an append-only entry method. Each record in the ledger includes a previous summary value and a current summary value, and further includes an authentication value generated from the current summary value, thus enabling integrity verification and detection of modifications, deletions, or insertions of historical records. Error correction is achieved by appending correction events without rewriting historical records. This invention supports hierarchical access control and audit trails, multi-database collaboration, and optional offline data collection synchronization, which can improve the reliability of quinoa germplasm resource traceability and reduce the risks of mislabeling, batch mixing, and loss of control over circulation.