424 results about "Link data" patented technology

The invention relates to the technical field of cluster video stream processing, and discloses a video stream real-time coding and decoding transmission method under a cluster. The method comprises the following steps: firstly, acquiring video stream coding parameter text data, link state time sequence data and equipment performance index data of multiple nodes of a target cluster to form a transmission link data set; semantic analysis is carried out on the coding parameter text data to obtain a coding semantic feature vector, dynamic fluctuation features are extracted from the link state time sequence data to obtain a link fluctuation feature vector, and cross-modal fusion is carried out to generate a fusion transmission feature set; generating an abnormal association degree score set by using a pre-trained multi-layer sensing network model, and obtaining an abnormal source node and an equipment defect type by combining root cause tracing according to the abnormal association degree score set; and finally, generating a dynamic optimization strategy and feeding back to the transmission control system to trigger parameter calibration. According to the method, the abnormal root cause can be accurately traced, the transmission parameters are optimized, and the cluster video stream transmission quality is improved.

The invention relates to a food traceability method based on a block chain, and the method comprises the steps: collecting production data, generating a unique data major key and an identifier, encrypting and uploading the data, and binding the data with a food batch; associating production link data, collecting processing data, performing secondary hash to generate a processing link data link, and binding a food unit after the processing link data link is linked; identifying a processing link identifier, collecting transportation data, carrying out chain association and timestamp progressive encryption and then carrying out uplink, generating a transportation link identifier and recording handover information; after full-link data are verified, sales data are collected, a full-link Merkel tree is formed through closed-loop association, a sales link identifier is generated after uplink encryption, and multi-node confirmation is triggered; a permission verification request is initiated through a query terminal, and after block chain type verification and local hash verification are carried out, a complete traceability link containing handover nodes, persons in charge and equipment information is displayed according to a time axis. According to the invention, full-life-cycle traceability of food is realized.

The invention discloses a lithium battery full life cycle quality tracing system based on digital twinning, and relates to the technical field of lithium battery quality tracing, and the system comprises a physical entity layer which integrates multiple types of sensors and detection equipment to collect full-link data; the digital twinning modeling layer is used for constructing a multi-scale model to map a battery state; the data acquisition and transmission layer is used for realizing data real-time transmission preprocessing through an edge gateway and an encryption protocol; the data storage and management layer is used for establishing a data warehouse by using a distributed database and performing backup; the intelligent analysis and decision-making layer integrates an algorithm to realize anomaly detection, performance prediction and tracing; the visualization and interaction layer is used for providing a multi-terminal visualization and interaction function; and the block chain evidence storage layer constructs an alliance chain to ensure that the data cannot be tampered. According to the invention, full-life-cycle data connection and credible tracing of the lithium battery are realized, the quality problem positioning efficiency is improved, intelligent early warning and optimization capabilities are provided, the operation threshold is reduced, and industrial quality control and green development are facilitated.

The invention discloses an agricultural product supply chain abnormal event tracing method and system based on a knowledge graph, and relates to the technical field of agricultural product supply chain management, and the method comprises the steps: constructing a supply chain knowledge graph, and enabling graph nodes to cover agricultural product batches, production subjects, processing equipment, transport vehicles, storage warehouses and other entities; when an anomaly is detected, performing reverse traversal from an abnormal node based on a graph neural network to determine a candidate propagation path; calculating an abnormal source probability score by integrating the historical abnormal record, the time window goodness of fit and the association strength, and outputting a responsibility subject sequence; the method supports hypothetical reasoning to predict the downstream influence range, and solves the problems that a traditional traceability scheme is difficult to efficiently associate and analyze cross-link data and lacks abnormal path intelligent reasoning ability.

The invention relates to a method and system for encrypting and isolating storage data of a credential mobile terminal, and belongs to the technical field of information. The method comprises the following steps: encrypting and partitioning the whole storage area, and setting an access strategy according to user permission; when a user requests to access, executing multi-factor authentication containing a password and an external hardware certificate, and adding biological characteristic authentication; after the authentication is passed, an encryption key is taken from the domestic security chip; and encrypting and decrypting data by using the secret key, and opening corresponding partition access according to authority. The system comprises a storage partition module, an identity authentication module, a key management module, an encryption and decryption module and an authority control module and is used for executing the method. The method also comprises the steps of equipment startup trusted boot and firmware upgrade verification, is based on a custom curing system, and is compatible with Android 10 +. The problems of poor hardware controllability and positioning security risk of the creative mobile terminal are solved, and full-link data security protection is realized.

The invention relates to the field of data processing, and provides an intelligent prediction recommendation method and system based on full-link data of a supply chain. The method comprises the steps of collecting multi-source heterogeneous supply chain data and performing standardization processing to obtain a standardized data set; according to the standardized data set, performing quantitative modeling on the supply chain state features to obtain a supply chain state feature vector; on the basis of the supply chain state feature vector, performing supply chain entity relationship modeling through a heterogeneous graph neural network to obtain a graph embedding vector; according to the graph embedding vector, performing dynamic generation on a candidate set through a multi-objective optimization algorithm to obtain a dynamic candidate set; and performing personalized matching of user requirements based on the dynamic candidate set to obtain a recommendation result. According to the invention, intelligent recommendation of the supply chain is realized, the decision-making efficiency is improved, and the operation cost is reduced.

The invention discloses a multi-link fusion service adaptive dynamic selection method based on link state prediction. The method comprises the following steps: acquiring link data of a multi-source heterogeneous communication link through a distributed probe; inputting the link data into a multi-factor arbitration engine to obtain a link discrimination result; wherein the multi-factor arbitration engine comprises a factor weight interlayer and a prediction model module; the factor weight interlayer is used for calculating a link score of a corresponding link when the multi-source heterogeneous communication link is in a stationary state; the prediction model module is used for outputting a quality prediction result of the multi-source heterogeneous communication link when the multi-source heterogeneous communication link is in a fluctuation state; the link discrimination result is obtained according to a link score or a quality prediction result; and selecting a communication link for transmission according to the link discrimination result. The method has better compatibility, ensures instant acquisition and analysis of link state data, reduces information lag, and is more fit for service transmission characteristics, and the quality prediction result can reserve sufficient time for switching links.

The invention discloses a new energy automobile battery health state monitoring system and an implementation method, and relates to the field of new energy automobile intelligent monitoring. According to the system, in order to solve the problems that new energy automobile battery health state monitoring precision is insufficient, abnormal response lags behind and multi-dimensional data fusion efficiency is low, full-type battery compatibility and multi-physical-quantity accurate sensing are achieved through a battery data acquisition module; the data processing and analysis module is used for completing multi-modal data feature decoupling and depth modeling; by means of a battery state monitoring module, a display and interaction module and a communication module, millisecond-level abnormity early warning, health state visualization and full-link data intercommunication are realized; and finally, under a complex working condition, the intelligence and precision level of new energy automobile battery health state monitoring is remarkably improved.

The invention relates to the technical field of group meal food traceability, and particularly provides a group meal food whole-course traceability method and system, and the method comprises the steps: carrying out the traversing of a pre-constructed traceability map according to a food traceability request when the food traceability request is received; based on a first preset evaluation dimension, performing confidence evaluation on each candidate traceability chain path to obtain a plurality of first confidence evaluation results, and screening out a target traceability chain path from all the candidate traceability chain paths according to all the first confidence evaluation results; analyzing whether the target traceability chain path is broken, if yes, repairing the target traceability chain path according to the auxiliary information set and outputting the repaired target traceability chain path, and if not, directly outputting the target traceability chain path; according to the method, the problem that the generated tracing chain is incomplete or inaccurate due to data missing or cross-link data association errors existing in the acquired tracing data can be effectively solved.

The invention provides an intelligent solitary policy processing method based on a neural network and machine learning, and relates to the field of data processing. According to the method, strategy byte codes and execution contexts are generated by extracting business rules, supervision calibers and field dependency relationships of the single insurance policy, discovery, repair and arbitration of field abnormity are achieved in combination with a dynamic data governance model, an account-falling confirmation receipt is output through a voting game and a compensation transaction, and a replayable trace and a rare mode index are generated. And a high-confidence label and an error correction prior increment are obtained in combination with triggering verification, and finally, full-link evidence is solidified through continuous distillation, chain type evidence storage and an auditable snapshot library, so that a traceable record of the single insurance policy is formed. By implementing the technical scheme provided by the invention, full-link data processing can be conveniently carried out on the single insurance policy, so that the processing efficiency is effectively improved.

The invention relates to the field of co-extrusion production control, and particularly discloses an efficient film bag feeding control system, which is applied to a multi-raw-material synchronous conveying device of a co-extrusion process, and comprises a full-link data acquisition module, a full-link data processing module and a full-link data processing module, the raw material characteristic parameters comprise a melting point T, a stacking density rho and a magnetic sensitive particle loading amount M; the instantaneous load pressure P of each raw material conveying channel, the temperature Tm of a co-extrusion die head melting area, the real-time thickness H of a co-extrusion film layer, stock bin liquid level data and motor rotating speed data are collected and integrated to obtain a full-link original data set; the single-drive linkage conveying mechanism comprises a main servo motor, a plurality of sets of electromagnetic clutches and a plurality of sets of spiral conveying assemblies, and the main servo motor drives a transmission shaft through a synchronous belt. According to the technical scheme, for the co-extrusion process, the multi-raw-material synchronous conveying precision can be matched, and the problems that parameter adjustment lags behind, adaptability is poor and a downstream process feedback closed loop is lacked are solved.

The invention discloses a carbon emission abnormity traceability method and device, a medium and equipment, and belongs to the field of carbon emission, and the method comprises the steps: receiving a traceability request containing a to-be-verified data identifier, positioning target link data from a block chain storage, and executing signature verification and Hash consistency verification, thereby guaranteeing the authenticity and consistency of the data. And if the verification of the target link data is passed, verifying the inclusion relation of Merkle tree root hash of each link upwards layer by layer to confirm the integrity of the full-chain data. And if verification failure of any level is found, the feature data of the level is combined with an anomaly detection model based on an isolated forest algorithm, and an abnormal data node is positioned. And then, according to the signature information of the abnormal data node and the preset tracking secret key, a group signature verification and private key derivation process is applied, the responsibility participant is traced, and the tracing process of the carbon emission abnormity is completed, so that the problem that the carbon emission abnormal point cannot be accurately and efficiently traced in the prior art is effectively solved.

The invention discloses a cascade power station connectivity fish monitoring method and system, and the method comprises the steps: collecting the water flow speed, water temperature, dissolved oxygen and other hydrological parameters of a water area cross section, the fish activity frequency data, the gate dam opening and closing state, and the pump set operation parameters through a sensing assembly; dividing a potential migration area; abstracting a water area node as a graph theory vertex, abstracting a connected state as an edge weight, and constructing a model to calculate node connectivity; according to the pump set parameters and connectivity indexes, calculating water area node connectivity probabilities under different pump set operation conditions; the number, body type distribution and motion trail of fishes are obtained through an image and acoustic module and are associated and matched with a migration area and a connectivity probability; and integrating multi-link data to generate a connectivity and fish activity relevance monitoring result. Functional units are arranged in all links of the corresponding method of the system, all the units operate cooperatively, cascade power station water area connectivity and fish activity association monitoring precision are improved, and data support is provided for drainage basin ecological protection.

The invention relates to the technical field of data display, can be applied to business system platforms of financial science and technology, medical health and the like, and discloses a link monitoring large screen display method, device, equipment and medium, the method comprises the following steps: obtaining a plurality of visual components, performing component configuration on the plurality of visual components, and obtaining an initial configuration component library; obtaining component attributes of the initial configuration component library, and performing incremental updating on the component attributes to obtain component change attributes; obtaining an incremental component according to the component change attribute, performing component updating on the initial configuration component library by using the incremental component to obtain a target visual component library, and constructing a link monitoring large screen according to the target visual component library; obtaining link topology data, and performing link topology rendering on the link topology data to obtain target link data; and performing visual display on the target link data on the link monitoring large screen to obtain a data display result. According to the invention, high configurability and modularization of the link monitoring large screen can be realized.

The invention provides a cloud-edge collaborative enterprise knowledge graph automatic construction method and system, electronic equipment and a storage medium, and relates to the technical field of computer and knowledge graph construction. Link data and inter-service communication monitoring data are called by collecting interface endpoints, and data are fused and associated by edge nodes; a dependency graph containing the service calling relation is generated; analyzing the time delay contribution degree and the error propagation probability, positioning a performance bottleneck link, measuring and calculating a service state in combination with a historical mode, adjusting flow distribution and isolating substandard instances; meanwhile, a multi-entity enterprise knowledge graph is constructed on the cloud based on dependency graph topology, performance attributes of service instances and interface endpoints and dependency relationship attributes among services are associated, and graph updating is automatically triggered when the attributes change. And finally, adaptive management strategies and configuration suggestions are generated through graph analysis, and automatic construction and application support of the enterprise knowledge graph can be realized.

The invention discloses a regional grid safety evaluation method and device based on smart gas and a medium, belongs to the technical field of gas safety supervision, and aims to solve the technical problem of how to overcome the defects of insufficient matching between grid division and gas facility characteristics and lagging leakage risk prediction in the prior art. In order to realize full-process intelligence from risk identification to closed-loop management and improve supervision efficiency and early warning precision, the technical scheme adopted by the invention is as follows: dividing a pressure sensitive grid: performing optimization division on a regional grid based on a gas pipeline pressure grade and facility distribution characteristics, and realizing accurate division of the regional grid where a pipe network is located by combining a GIS and an improved DBSCAN algorithm; acquiring three-level Internet of Things data: integrating sensor data of an unmanned aerial vehicle, a pipe network pressure device and a leakage monitoring device, and covering a full-link data system of a terminal sensing layer, an edge computing layer and a cloud storage layer; constructing a double-engine evaluation model; carrying out digital twinborn visualization; and scheduling the capability matrix.

The invention discloses a global material intelligent management and control analysis platform based on multi-professional link data, relates to the technical field of material management, and solves the technical problems of insufficient consumption abnormality judgment accuracy and delayed inventory early warning and supply decision. According to the method, a weighted initial threshold model of historical data and business quota is innovatively constructed, a differential statistical method is adopted for periodic and non-periodic materials, meanwhile, a real-time influence factor is introduced, and a threshold is dynamically corrected through a weighting algorithm, so that the threshold can accurately adapt to business scene change, and the service scene change is accurately matched with the business scene change. The method effectively reduces the abnormal misjudgment rate and the missed judgment rate, achieves the precise monitoring of the consumption state, achieves the precise calculation of the basic remaining time, the scene-based remaining time and the safety buffer time through the scene-based consumption speed model and stock effective value measurement and calculation, achieves the scientific evaluation of the stock sufficiency through the combination with a preset threshold value, generates a purchase signal in advance, and improves the purchase efficiency. And the risks of stock overstock and material shortage are avoided.

The invention is applied to the technical field of dangerous chemical safety management, and discloses an intelligent traceability method for dangerous chemical full life cycle management, which comprises the following steps: S1, production link data acquisition and identification binding; s2, warehousing link environment and inventory monitoring; s3, carrying out transportation link state and trajectory tracking; s4, taking the record in the use link; s5, waste disposal link data recording and evidence storage; and S6, whole-process data evidence storage, analysis and application. According to the intelligent traceability method for full-life-cycle management of the hazardous chemical substances, the hazardous chemical substance basic information and the production equipment operation data are automatically input through the terminal device integrating the bar code / RFID generation module, the hazardous chemical substance basic information input module and the production equipment state sensor, so that the problems of low efficiency and high error of manual recording are avoided, and the production efficiency is improved. Meanwhile, a unique RFID code is generated in real time and bound, and data are automatically collected through corresponding sensors and intelligent equipment in the links of storage, transportation, use, waste disposal and the like.

The invention discloses a smart marketing system and device and a medium, and belongs to the field of big data analysis. The system comprises a data support layer used for collecting multi-source heterogeneous data including equipment data, user behavior data and third-party data, and forming data assets by preprocessing the multi-source heterogeneous data; the intelligent decision-making layer is used for identifying the life cycle stage of the current user based on an intelligent model matrix and the data assets, predicting the transition stage of the life cycle of the user and generating a precision marketing strategy and a channel selection scheme of each stage; and the business application layer is used for converting the precision marketing strategy and the channel selection scheme into a specific marketing task, monitoring marketing effect data and feeding back the marketing effect data to the data support layer and the intelligent decision-making layer. According to the system, the intelligent marketing process of full-link data fusion, dynamic life cycle management and automatic marketing closed loop can be realized.

The invention relates to a power transmission line operation state intelligent identification and analysis method, and belongs to the technical field of power transmission line state analysis. The method comprises the following steps: acquiring soil water content and foundation settlement data in real time, recognizing tower node displacement accumulation and a stress transfer path in combination with environmental factors such as temperature, humidity and wind speed, accurately judging a structural deformation abnormal region, and generating a stress concentration and transfer prediction chart through multi-source data fusion and historical data contrastive analysis. According to the method, the coordinates of potential safety hazard parts are dynamically calibrated, infinitesimal displacement monitoring errors are eliminated, finally, a tower overall structure safety evaluation report and maintenance management measures are output, through full-link data analysis and dynamic calibration, the monitoring precision and early warning capacity of tower stability under geological condition changes are remarkably improved, and safe operation of power transmission facilities is guaranteed.

The invention provides a compressor intelligent control method and system based on dynamic pressure relief and a storage medium, and the method comprises the steps: firstly, capturing the multi-physical field coupling characteristics of a compressor in a shutdown state in real time by deploying a pressure, temperature, vibration and current four-dimensional sensing network; secondly, based on a preset pressure entropy model, fusing the pressure fluctuation intensity, the temperature anomaly index, the high-frequency vibration factor and the current attenuation coefficient to quantitatively evaluate a pressure entropy value, and triggering a three-stage pressure relief mode based on the pressure entropy value; then, based on the deviation between the cavity pressure and the target pressure, pressure relief parameters are dynamically adjusted, and stable pressure transition is achieved; and finally, collecting full-link data of pressure relief operation, and dynamically optimizing pressure entropy model parameters based on reinforcement learning, so that the system continuously adapts to equipment aging and working condition changes. Through dynamic closed-loop adjustment, pressure relief energy consumption waste and equipment loss are reduced, and the stability of the pressure relief process is improved.

The invention relates to the technical field of emergency management, in particular to a visual emergency management command system which comprises a network channel judgment module, a broadcast circling adjustment module, a material linkage retrieval module, a bidirectional response matching module and an instruction popup prompt module. And judging the fluctuation condition of the signal-to-noise ratio along with time. According to the method, the signal dynamic change and the communication quality sequence are fused, multi-channel use is optimized in real time, the boundary is dynamically linked according to spatial distribution and equipment motion characteristics in the region circling operation, and multi-dimensional association is realized by combining the spatial distance between a team and a warehouse and a material demand type; the supply-demand relationship is automatically graded according to the actual supply difference and visual identification is realized, and the material gap is displayed through popup window information and geographical highlight linkage, so that multi-link data-driven linkage across network, space and resource dimensions is integrally realized, the fine resource allocation and efficient response capabilities are improved, and the collaborative guarantee in an emergency scene is enhanced.

The invention discloses an online monitoring system and method for an intelligent circuit breaker, and relates to the field of circuit breaker monitoring. The method comprises the following steps: collecting current, port voltage drop, mechanism acceleration and voltage high-frequency signals, and synchronously marking a time service timestamp and a monotonic timestamp for each frame of data; calculating a contact power perturbation intensity and a mechanism springback spectrum difference in the switching-on steady-state window; an electric arc precursor energy gate is calculated in the on-off rising edge window; constructing a multi-domain diagnosis atlas based on the contact entropy flow index, the mechanism rebound spectral difference and the arc precursor energy gate, and performing event root cause judgment to output a waveform section; according to grading and fragmentation of events, generating fragmentation abstracts and whole frame verification, and embedding timestamps and buffer area indexes; performing time sequence rearrangement on the cross-link data to ensure data time sequence consistency; and maintaining the fragment receiving state and retransmitting the missing fragments to complete the consistency verification of the whole frame. And through data fusion and intelligent fragmentation management, the monitoring precision and the data integrity are ensured.

The invention, which belongs to the technical field of artificial intelligence and machine learning, discloses an intelligent auditing system for travel fee of a business travel enterprise, comprising: a data acquisition module collecting reimbursement data such as bills, travel and the like and internal and external policy documents; the policy analysis and rule generation module analyzes policies through a natural language processing model, automatically extracts elements and generates an initial auditing rule set; the dynamic rule learning and optimization module is combined with historical data and manual feedback, and a dynamic rule set and enterprise exclusive rules are iteratively generated through a machine learning model including rule adaptation degree evaluation and a personalized rule generation sub-model; the intelligent auditing execution module calls dynamic rule verification and outputs a result; and the data storage module stores full-link data. The problems of rule static state, policy response lagging and insufficient personalized adaptation of a traditional auditing system are solved, automatic generation and dynamic optimization of the rule are achieved, the policy response period is shortened, the auditing error rate is reduced, and the auditing efficiency and the personalized adaptation capacity are improved.

The invention discloses a data link breakage data processing method, which aims at the problem of loss of return load information caused by instability of a data link in a flight platform, periodically detects a link communication state in real time, and stores received information in a memory in a classified manner when the link is interrupted. After the link is recovered, the information stored in the memory and the real-time data are respectively transmitted back to the ground according to the importance degree, so that the load information in the link breaking process is quickly retransmitted under the condition that no additional hardware device is added to the data link, the integrity of the transmitted back load information is ensured, and the problem of information loss in the traditional data link breaking period is solved.

The invention discloses an ultraviolet light communication system channel parameter self-adaptive adjustment method and device, and the method comprises the steps: collecting and preprocessing original multi-dimensional data to obtain a channel state vector, the original multi-dimensional data comprising original environment data, original system data and original link data; performing channel state evaluation according to the channel state vector to obtain a channel comprehensive state and a channel state trend; generating a parameter self-adaptive adjustment strategy according to the channel comprehensive state and the channel state trend, converting the parameter self-adaptive adjustment strategy into a standardized execution instruction, and adjusting corresponding parameters of the ultraviolet light communication system; and feedback data acquisition is carried out, and a strategy validity determination result and key performance data after strategy execution are obtained. According to the invention, adaptive parameter adjustment of the ultraviolet light communication system under a complex condition is realized, and short-distance and anti-interference experiments, performance tests and engineering application of ultraviolet light communication are realized.

The invention discloses a performance management and control method and system for a distributed system. The method comprises the following steps: receiving a plurality of link data packets of the distributed system within a preset time period; constructing a service dependency graph of the distributed system in a preset time period according to the plurality of link data packets; reasoning the service dependency graph by using a graph convolutional network model to obtain an abnormal probability of each graph node, and determining at least one target root cause path of the distributed system having an abnormality within a preset time period according to the abnormal probability of each graph node; and determining a target disposal strategy matched with each target root cause path from a preset disposal strategy library, and feeding back the target disposal strategy to the corresponding service node. The technical problems of low performance management and control efficiency and poor effect caused by incapability of efficiently processing large-scale data in a distributed system and incapability of accurately positioning a root path in a complex service scene in related technologies are solved.

The invention discloses a pet food intelligent production management and control system and a traceability code spraying device thereof, and relates to the technical field of pet food production, and the pet food intelligent production management and control system comprises a production planning unit, a raw material management unit, a production control unit, an intelligent mistake proofing unit and a quality traceability unit. The production planning unit optimizes a production plan and accurately allocates resources, the raw material management unit performs supplier qualification evaluation, raw material multi-level quality inspection and intelligent inventory regulation and control, quality is controlled from the source, the supply chain risk is reduced, the production control unit depends on the equipment real-time monitoring and fault early warning technology, the stability of production parameters is guaranteed, and the production efficiency is improved. The intelligent error-proofing unit integrates OCR verification, threshold detection and prediction model construction, rejects error detection data, prevents data missing, realizes real-time early warning and closed-loop processing of quality risks, and eliminates quality problems in the bud stage, and the quality tracing unit performs real-time early warning and closed-loop processing on the quality risks through full-link data acquisition and a unique tracing code. And accurate positioning and rapid recall of problem products are supported.

The invention discloses a CDN fault node isolation method and system based on telecom operator network management data, and relates to the technical field of CDN fault management and operation and maintenance, and the method comprises the steps that an operator network management center collects multi-stage network equipment and link data, and a CDN health center collects indexes such as node packet loss rate; comparing an index and a threshold value quality index degree which exceeds a threshold value, and marking a suspected node; querying network management data to locate a fault category; calculating a score by combining a fault position weight, and isolating if the score exceeds a threshold value and the fault position is a node or a direct connection link; eliminating nodes and scheduling traffic; and quickly triggering the alarm, subscribing the network management alarm, directly marking the suspected node and triggering the process. According to the method, the isolation accuracy of the CDN fault node is improved, and misjudgment caused by an upstream network fault is reduced; the isolation response time delay is shortened; congestion aggravation is inhibited; a quantifiable and configurable isolation decision system is formed, the operation and maintenance intelligence is improved, and the service quality and the user experience are optimized.

The invention discloses a traditional Chinese medicine source tracing method based on a block chain, and relates to the technical field of traditional Chinese medicine source tracing. Traditional Chinese medicine full-life-cycle credible traceability is achieved, planting-to-sales data are obtained through the full-link data acquisition step, formats are unified, and signatures are added; in the block chain cochain step, cochain is carried out on the data abstract by using an alliance chain and PBFT consensus; the distributed storage and query step is associated with the IPFS, and hierarchical query is carried out according to roles; the traceability verification and abnormity early warning step comprises the following steps of: comparing hash and signature, and pushing early warning when abnormity occurs; the method management step comprises the following steps: distributing authority according to RBAC, and recording an operation log. The method solves the problems that traditional traceability data is easy to tamper and links are broken, realizes full-link credible acquisition and storage, hierarchical query and abnormal early warning, protects enterprise privacy and cross-chain intercommunication, improves traditional Chinese medicine traceability quality, and assists supervision and industrial standardization development.