22results about How to "Improve traceability" patented technology

The invention relates to the technical field of medicine quality management, in particular to a medicine quality management method and system based on big data and artificial intelligence, and the method comprises the steps: obtaining the quality influence parameters of a medicine product in the production, transportation and storage processes through a multi-modal data collection device; noise is removed through data cleaning, data dimension reduction is carried out through principal component analysis and an auto-encoder, the analysis efficiency is improved, and the efficiency problem of mass data processing of a traditional method is solved. Time sequence analysis is carried out through the long-short-term memory network, abnormal nodes are recognized in time, manual sampling inspection is replaced, and accurate early warning is achieved. The graph neural network constructs a path tracking model, analyzes the relevance between nodes, traces the quality problem, and reckons the batch of affected drugs. Based on a traceability result, an XGBoost model generates quality risk scores of all links by analyzing historical and real-time data and sets a threshold value, and quality risks are early warned in real time.

The invention provides a full-life-cycle forward and reverse quality traceability system and method for discrete manufacturing industry products, and the system comprises a configuration module which is used for configuring traceability code rules and multi-dimensional traceability conditions; the interaction module is used for data interaction between systems so as to track process data of the whole life cycle of each discrete manufacturing industry product in real time; the binding module is used for generating a production bar code according to the traceability code rule, and binding the production bar code as a unique traceability identification code of each discrete manufacturing industry product in each production stage; the scanning module is used for scanning a production bar code of each discrete manufacturing industry product, associating process data related to each production stage with the production bar code and storing the process data in a system database; the traceability module is used for providing a one-key traceability function and allowing the whole-process data of the whole life cycle of each discrete manufacturing industry product to be inquired according to a traceability condition combination so as to realize the forward and reverse quality traceability of the whole life cycle; and the display module is used for displaying the whole-process data.

The invention provides an inventory product tracing method and device for a medical instrument digital supply chain and a medium, and the method comprises the steps: responding to the warehousing operation of a target medical instrument, and distributing the target medical instrument to a corresponding target warehouse; obtaining circulation operation data corresponding to each circulation node after the target medical device is put in storage; based on circulation operation data corresponding to each circulation node after the target medical device is put in storage, a circulation link relation graph corresponding to the target medical device is generated, and the circulation link relation graph corresponding to the target medical device is used for displaying circulation association information of the target medical device between the circulation nodes. And carrying out inventory tracing on the target medical instrument. Therefore, under each operation process after the medical apparatus is put in storage, the circulation information of the medical apparatus is clearly and independently recorded so as to generate the circulation link relation graph to display the circulation condition of the target medical apparatus in the circulation process, effective management of the medical apparatus inventory is realized, and the product tracing efficiency of inventory circulation is improved.

The invention discloses a data tracking and tracing algorithm based on double block chains under the meta cosmic background, and the algorithm comprises the steps: 1, uploading virtual data in a meta cosmic space to a block chain, namely a data chain, calculating the hash value of the virtual data, and storing the hash value of the virtual data in the data chain; 2, introducing another block chain, namely a Hash chain, wherein Hash mapping exists between the Hash chain and the data chain; and step 3, introducing a chameleon signature technology, associating the virtual character of the universe with the biological characteristics by the chameleon signature technology, tracking through the identity parameter of the virtual character, and tracking the source of the malicious virtual character by using the reserved identity parameter. According to the method, the problems of difficulty in digital asset tracking and high traceability cost under the meta universe background can be solved, the traceability efficiency can be improved, different traceability schemes are adopted for different digital assets, and the traceability and safety of high value-added assets are considered while the data traceability efficiency is ensured.

The invention relates to the technical field of communication, and particularly provides an equipment information providing method and device, electronic equipment, a storage medium and a product. The method comprises the following steps: receiving at least one of a first operation and related information of the first operation by using first terminal equipment; and the first terminal device sends the first information. The first terminal device is used for receiving the first operation and the related information of the first operation, and the first terminal device obtains the first information according to the related information of the first operation and sends the first information. Wherein the first information comprises at least one of the following items: a first terminal equipment identifier, a first terminal equipment issuer identifier and a first terminal equipment producer identifier. Therefore, more information needing to be acquired can be further acquired on the basis of existing operation, so that the types of the acquired information are richer, information collection of each first terminal device is facilitated, the tracing process can be simplified, and the tracing efficiency can be improved.

The invention relates to the technical field of food safety management, in particular to a food quality safety traceability method, which comprises the following steps of: acquiring image information of a food surface, intercepting image information with an identification code, and preprocessing the image information with the identification code to acquire identification code information; the identification code information is identified to obtain tracing information for the food, the tracing information comprises a plurality of tracing items used for determining whole-process information of the food, whether tracing query for the food is completed or not is judged on the basis of content in each tracing item, and an uncompleted reason is determined when it is judged that the tracing query is not completed; according to the method and the device, the corresponding processing mode is generated, the corresponding instruction is generated based on the determined processing mode, the instruction is transmitted to the corresponding component so that the component receiving the instruction determines the corresponding operation parameter again, the tracing information is output when it is judged that the tracing query for the food is completed, and the tracing efficiency for the food is effectively improved.

The application discloses a kind of multi-modal archive file automated classification storage systems, it includes data preprocessing unit, multi-modal information analysis unit, dynamic rule generation unit and distributed storage unit.Unit is optimized by edge detection and affine transformation to document image, and the classification precision is improved by combining text semantics and visual feature extraction, and the classification rule is dynamically updated using the decay window model, and the safety of classification result is ensured by hash generation and cross-chain verification.The application can significantly improve the classification accuracy, processing efficiency and system security, meet the needs of modern archives management for intelligentization and high efficiency.

The application provides a filter rod manual arranging method based on WMS, which comprises the following steps: reading the RFID tag of the filter rod by the RFID data reading and writing device to obtain the label information of the filter rod; judging whether the label information corresponding to the scanned filter rod exists in the filter rod high-bay warehouse WHS; if yes, returning the tray number from the WHS system; if no, storing the physical information in the feedback label according to the set coding, and performing the flat warehouse warehousing in the WHS system according to the physical information, wherein the physical information comprises the brand, the production machine, the production time, the shift and the shift. The application can improve the traceability efficiency of the cigarette filter rod quality and reduce the traceability cost.

The invention discloses a product manufacturing information management system and method based on big data, relates to the technical field of factory production management, and solves the technical problem that an existing product manufacturing information management system is low in efficiency of tracing defective products. The data acquisition module is used for acquiring production data of each stage of production equipment through data acquisition equipment connected with the data acquisition module, and acquiring product feedback information through a user side; the data analysis module is used for acquiring a plurality of product types and corresponding product production data through a database; generating a plurality of product feature data according to the product type and the product production data; the defect tracing module is used for acquiring product feedback information and product feature data and generating a defect tracing report according to the product feedback information and the product feature data; according to the invention, the production stage in which abnormity may occur can be quickly positioned, the excluded data volume is reduced, the troubleshooting accuracy is improved, and the tracing efficiency of defective products is further improved.

The invention relates to the technical field of food supervision, in particular to an information traceability system for food supervision, which comprises an information acquisition module, an information statistics module, an information verification module and a data regulation and control module, and is characterized in that archive information of a food circulation process is acquired through middle ends arranged at all dealers, so that effective supervision of food circulation is realized; the method comprises the following steps: performing classification statistics on each batch of food to improve the reliability of data, processing archived information according to a verification result, and further determining whether the archived information is matched or not when the archived information is judged to be qualified; and when the archive information is judged to be unqualified, the operation parameters of the intermediate ends are adjusted, so that the tracing efficiency of the food supervision information is improved.

The invention discloses an information tracing method and device, equipment and a storage medium, and relates to the technical field of information tracing, and the information tracing method comprises the steps: determining a tracing index according to an information tracing demand of a user, constructing an index layer data tracing template according to the tracing index, querying data corresponding to the index layer data tracing template, and storing the data corresponding to the index layer data tracing template; and obtaining the index layer data information, matching the index layer data information with the first trigger rule to obtain a rule tracing table meeting the first trigger rule, and further performing information tracing based on the rule tracing table. Compared with an existing mode that information tracing is carried out in a fixed mode, the tracing template corresponding to the user tracing requirement is constructed in the mode, the index data corresponding to the user tracing requirement can be visually displayed, the information tracing efficiency can be improved, and the requirements for detail data in different scenes are met.

The invention discloses a method for splicing large-scale industrial module equipment, belongs to the technical field of large-scale industrial module construction, and aims to solve the problems of low splicing precision, poor quality control, weak tool universality and the like in the prior art. The method comprises the steps of module early-stage preparation, construction site arrangement, module hoisting and positioning, module splicing operation, quality inspection and acceptance, digital filing and the like. A module full life cycle database is established, a high-precision measurement control network is constructed, and an adjustable universal supporting tool and intelligent equipment are adopted, so that high-precision splicing of module butt joint unfitness smaller than or equal to 0.5 mm is achieved; bIM simulation, real-time monitoring and automatic welding technologies are combined, so that the defect rate of the welding seam is reduced to 1% or below. The device can adapt to heavy modules of 50-500 tons and 10-50 meters, the tool cost is reduced by 60% or above, the construction period is shortened by 40% or above, and the device is suitable for the high-precision requirement fields of the nuclear industry, the petrochemical industry and the like.

The application discloses a cross-industry supply chain supervision method based on multi-chain cooperation, a business sub-chain is used for recording internal information of enterprise transaction subjects and business data of various supply processes; a transaction main chain is mainly responsible for transaction implementation and interaction between different businesses, and records circulation states and transaction data of commodities at various links of the supply chain; and a supervision chain is used for supervising and auditing transaction data between different businesses of the supply chain. The application combines an identity-based encryption mechanism based on fine-grained privacy protection, protects the privacy of multi-party cooperative transaction data in the supply chain process, and solves the contradiction between the privacy of supply chain transaction data and the implementation of supervision. The application designs two verification methods of transaction types based on an aggregated signature protocol, so as to realize aggregated verification of on-chain transactions and rapid tracking of abnormal transactions, and effectively improves the performance of system supervision and traceability.

The invention provides an automatic verification system and method for functional modules of a power control system, and the system and method can achieve the automatic verification of various functional modules in the power control system. The automatic verification system comprises a master control and data processing unit, an analog quantity I / O module, an isolation type digital quantity I / O module, a digital quantity I / O module, a communication module, a verification signal conversion module interface device and a power supply unit. The main control and data processing unit controls the analog quantity I / O module, the isolation type digital quantity I / O module, the digital quantity I / O module or the communication module to output excitation signals to the verified function module according to the type of the verified function module, and collects response signals of the verified function module; the main control and data processing unit is also used for processing a response signal generated after being excited by the verified function module according to a set verification algorithm, and carrying out qualification judgment according to a set verification standard; the verification signal conversion module interface device is used for bearing a verified function module and a corresponding signal conversion circuit.

The invention relates to a power equipment quality tracing method based on a graph database, a knowledge graph and an equipment full life cycle. The method comprises the following steps: constructing a power equipment quality tracing model; the power equipment quality tracing model is configured with a power equipment knowledge graph and a power equipment graph database; performing quality problem identification on the power equipment quality tracing model by adopting a community discovery algorithm matched with the power equipment knowledge graph, and determining a current power equipment quality event; taking the current power equipment quality event as a reasoning starting point, taking a preset reasoning ending target as reasoning guidance, reasoning root information causing the occurrence of the current power equipment quality event in the power equipment knowledge base, and obtaining a power equipment quality event traceability result; and constructing an in-station wiring diagram comprising the power equipment quality event traceability result. By adopting the method, the tracing efficiency of the quality problem of the power equipment can be improved.

The vehicle gas cylinder filling tracing device comprises a positioning bottom plate, an L-shaped positioning frame is fixedly installed on the positioning bottom plate, a first driving motor is fixedly installed on the positioning bottom plate, a rotating lead screw is fixedly installed at the output end of the first driving motor, and a nut positioning assembly is installed on the rotating lead screw in a spiral fit mode. The nut positioning assembly is fixedly provided with a first driving motor, the nut positioning assembly is fixedly provided with a second driving motor, the output end of the second driving motor is provided with a driving gear, the nut positioning assembly is further provided with a rotating tracing mechanism, and the rotating tracing mechanism is meshed with the driving gear. According to the vehicle gas cylinder two-dimensional code tracing device, a first driving motor is driven to rotate, then a rotating tracing mechanism is lifted so as to adapt to searching for vehicle gas cylinder two-dimensional codes of different heights, meanwhile, through rotating cooperation of a second driving motor and the rotating tracing mechanism, the rotating tracing mechanism can rotate to search for the two-dimensional codes of the vehicle gas cylinders for tracing, inconvenience of manual searching is avoided, and the tracing efficiency of the vehicle gas cylinders is improved.

The invention relates to the technical field of confrontation agents, and relates to a multi-agent reinforcement learning-based red and blue confrontation intrusion monitoring collaborative decision-making method, which comprises the steps of S1, acquiring environmental data of a target area; constructing a dynamic environment model fused with terrain concealment; s2, on the basis of the dynamic environment model, constructing a random trace generation and attenuation model of a blue-party agent and a limited perception model of a red-party agent; s3, constructing and updating a risk thermodynamic diagram used for representing the existence probability of the blue square in real time; s4, constructing a multi-agent game model of red and blue parties under the condition of information asymmetry; carrying out adversarial training through multi-agent reinforcement learning until the strategy is converged; and S5, deploying the trained strategy model, and carrying out red-blue adversarial simulation and collaborative decision. According to the invention, by introducing the terrain concealment index, the concealment identification capability of intrusion monitoring is effectively improved; by combining the dynamic environment model and the agent modeling, the accurate simulation of the behavior modes of the red and blue parties is realized, the false alarm rate can be effectively reduced, and the decision timeliness can be improved.

The present application relates to the technical field of connecting rod processing quality traceability, in particular to a connecting rod processing quality traceability and monitoring system based on the Internet of Things, comprising a construction module for determining the process information corresponding to the production chain of the target connecting rod, wherein the process information comprises the equipment information and environmental information corresponding to each processing link, and the quality data atlas corresponding to the target connecting rod is constructed based on the process information; a setting module for configuring a following space for the target connecting rod and establishing a traceability chain between the quality data atlas and the following space; a traceability module for real-time acquisition of the current processing link of the target connecting rod in the production chain and the corresponding quality defect type, determination of the type association group corresponding to the quality defect type from the quality data atlas based on the traceability chain; extraction of abnormal processing data of the corresponding quality defect type from the following space according to the type association group, regulation and control of the process information corresponding to the abnormal processing data, and improvement of the traceability efficiency of the connecting rod quality anomaly.

This invention provides a method and system for multi-hop path analysis of firewall policies based on heterogeneous graphs, belonging to the field of network security management technology. The method includes: reading firewall policy data and network entity information; defining heterogeneous nodes and introducing virtual nodes based on a graph database; abstracting firewall policy rules into relational edges to obtain policy relational edges; and constructing a heterogeneous network access policy graph; obtaining query paths and traversing the heterogeneous network access policy graph to obtain multi-hop paths connecting the two ends of the query paths, thus obtaining a micro-path set; utilizing graph heterogeneity to analyze the micro-path set, obtaining shared policy relational edges; and identifying the same policy sequence in each multi-hop path to obtain a macro-policy path set. This invention solves the problems of inaccurate abstraction of heterogeneous models, difficulty in path tracing, redundant and overloaded analysis results, and low transmission efficiency of large-scale result sets in traditional policy analysis.

The invention discloses a honey pomelo supply chain full-process tracing management system based on big data storage, and the system comprises a feature construction module which is used for carrying out the slicing and vectorization of each stage of data time sequence, and generating a batch feature sequence; the stage graph modeling module is used for constructing a directed graph, mapping the features into nodes and generating connections; the graph embedding calculation module is used for generating node high-dimensional representation through multi-layer feature propagation and writing and storing the node high-dimensional representation; the weight dependence module is used for calculating an attention weight and generating a stage weight matrix; the feature tracing module is used for weighting aggregation node representation, generating a tracing vector and verifying the tracing vector; the index mapping module is used for generating index codes for the tracing vector hash and establishing mapping storage; and the tracing reconstruction module is used for traversing the reconstruction path by the reverse graph and generating a whole-process tracing result. According to the method, continuous collection and full-process tracing of supply chain data are achieved, batch feature vectors and index codes are generated, data integrity is guaranteed, and retrieval efficiency is improved.

The invention provides a fingerprint consanguinity tracing and link monitoring system based on an atlas database, and relates to the technical field of data management, and the method comprises the steps: a monitoring layer is connected with an evidence storage chain through an event subscription mode, obtains block data in real time, and extracts data fingerprint information, participant information, circulation link information and timestamp information; the processing layer maps the data extracted by the monitoring layer into node attributes of a data fingerprint node, a participant node and a circulation link node, and edge attributes of edges connecting the participant node and the data fingerprint node and connecting the data fingerprint node and the circulation link node; the node attributes and the edge attributes are written into an atlas layer to construct a fingerprint blood relationship atlas database; the display layer displays a fingerprint blood relationship link; and the alarm layer monitors the health degree of the fingerprint blood relationship link in real time, and generates an alarm notification when the health degree meets a preset alarm condition. The method has the beneficial effects of significantly improved tracing efficiency, accurate and efficient anomaly positioning, stable and reliable system performance, and significant economic and social benefits.

The invention belongs to the technical field of LED module management, and particularly relates to an LED module batch traceable management method and system, and the system comprises a processor, an information collection module, a code generation module, an information storage module, a traceability query module and an information safety supervision module. Various kinds of information in the LED module production process are collected through the information collection module, the code generation module generates a unique product code based on the LED module information, and the information storage module stores the code of the LED module and the product information corresponding table, so that the integrity and traceability of the LED module information are ensured, and the production efficiency of the LED module is improved. The LED module batch tracing efficiency is remarkably improved, the management difficulty is reduced, the storage potential safety hazard of the LED module can be comprehensively analyzed and accurately judged to remind a manager to take reasonable improvement measures in time, the safety of stored information is effectively improved, and the traceability of the LED module is ensured.