9results about How to "Improve traceability" patented technology

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 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 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.