58results about How to "Easy to audit" patented technology

The invention relates to the technical field of information security, and discloses a data security management system and method in an intelligent power grid, and the system comprises a dynamic encryption and key management module which is used for carrying out the encryption and key management of the data of the intelligent power grid, determining an encryption algorithm according to the sensitivity of the data, and generating a corresponding key, the dynamic encryption and key management module transmits encrypted data and key information to the adaptive access control module so as to ensure the security of data access; and the self-adaptive access control module is used for managing access permissions of the user and the equipment and performing dynamic authorization according to the attribute label and the context information. Through dynamic encryption and adaptive key management, an encryption algorithm and a key length are adjusted in real time according to data sensitivity and a network environment, a quantum key distribution technology is combined, high security and quantum attack resistance of a key are ensured, and then security and real-time performance of data transmission are ensured.

The invention relates to the technical field of data processing, in particular to a real estate surveying and mapping data processing method and system based on intelligent data. The method comprises the following steps: acquiring multi-source real estate surveying and mapping data; performing space-time synchronization on the multi-source real estate surveying and mapping data to generate multi-source real estate surveying and mapping space alignment data; real estate space feature extraction is carried out on the multi-source real estate surveying and mapping space alignment data to obtain real estate space feature data; performing cross-domain feature fusion on the multi-source real estate surveying and mapping data based on the real estate spatial feature data to generate real estate surveying and mapping fusion spatial feature data; public surveying and mapping point confirmation is carried out on the multi-source real estate surveying and mapping data through the real estate surveying and mapping fusion spatial feature data, and real estate surveying and mapping public surveying and mapping point data are obtained. Through multi-source data space-time synchronization, feature fusion, distortion correction, high-dimensional space reconstruction, semantic tag association and chain storage, the efficiency and accuracy of real estate surveying and mapping data processing are improved.

The invention discloses a software query information management method and system, and belongs to the technical field of software information security, and the method specifically comprises the following steps: after a query request of a user is received, creating a dynamic topology network architecture according to semantic features of query contents; creating a virtual query container corresponding to the dynamic topological network in the isolated memory space, wherein the virtual query container generates a dynamic encryption channel bound with the current topological structure; dynamically embedding user permission labels into topological network nodes through an attribute-based encryption algorithm, and establishing a mapping relation between permission characteristics and network paths; when distributed query is executed in the virtual query container, the topological node connection weight is dynamically adjusted according to the real-time network load; before a query result is fed back to a user, data elements are recombined based on a reverse entropy value of an original topology network architecture; and when an abnormal access feature is detected, triggering a topological network structure dynamic failure mechanism.

The invention relates to a lattice-based specified server searchable encryption optimization method, device and equipment and a medium, and the method comprises the following steps: a receiver mechanism calculates and determines # imgabs0 # imgabs1 # according to a system public parameter pp, a public key pkr = Ar of the receiver mechanism, a private key skr = Tr of the receiver mechanism and a keyword w 'belongs to {0, 1} * to be searched, and a SamplePre (Ar, Tr, uw', sigma) algorithm is called to generate a trap door ew '; and the cloud server matches keyword information in the ciphertext and the trap door according to the ciphertext Cw = (c1, c2, c3), the trap door ew'and a private key skc = ec of the cloud server, and sends a matching result to a user client corresponding to a receiver mechanism to complete lattice-based specified server searchable encryption optimization. The system is convenient to manage and maintain, the specified server can centrally manage encrypted data and search trap doors, and maintenance and management of the system are facilitated.

The invention belongs to the technical field of informatization security and secrecy, and particularly relates to an encrypted optical disc illegal external connection alarm tool which comprises a recording and printing tool recorded in an optical disc in an encrypted mode and an internet detection module. And automatically associating a specific website after the recording and printing tool is opened, and judging that the compact disc is used illegally if the association is successful. According to the invention, information security management can be enhanced, the management efficiency is improved, the information security cost is reduced, comprehensive monitoring and timely alarm of the secret-related optical disk are realized, and the security and confidentiality of the secret-related information are greatly improved.

The invention discloses a document travel scene data transaction secure storage method and a medium. The method comprises the following steps: collecting necessary data of a data provider through a client of a document travel transaction platform; encrypting the sensitive data, and uploading the encrypted sensitive data, the privacy preference data of the data provider and the information of the data visitor to a server side of the text travel transaction platform; packaging the encrypted sensitive data, the privacy preference data and the data visitor information into a structured privacy tuple; storing the privacy tuple in a relational database, and storing the hash value of the privacy tuple in a block chain; configuring an access control strategy, and limiting that only authorized users or system nodes can access and operate data stored in the relational database; the access request of the privacy tuple data is verified and authorized through the block chain platform, and all data accesses are ensured to conform to the privacy preference of a data provider. According to the invention, the security of the user sensitive data in the text travel scene data transaction can be effectively improved.

A community disaster emergency material intelligent distribution cabinet disclosed by the present invention comprises a main cabinet body and at least one detachable modularized storage cabinet, the bottom ends of the main cabinet body and the storage cabinet are both provided with rollers, one side of the main cabinet body and the storage cabinet are spliced and connected into a whole, the other side of the main cabinet body is fixedly provided with a fire-fighting cabinet, and the fire-fighting cabinet is provided with a fire-fighting device. An interaction device is arranged on the front surface of the main cabinet body; a control host and a power supply are arranged in the main cabinet body; the storage cabinet is provided with a plurality of independent storage units, and an RFID tag is arranged at the bottom end of the surface of the storage cabinet; a positioning module, a storage battery and a take-up and pay-off reel are arranged at the bottom of an inner cavity of the storage cabinet, and a comprehensive cable is wound on the take-up and pay-off reel; a wiring board is arranged at the bottom of the inner cavity of the main cabinet body. Through the design of the detachable modularized storage cabinets, the number of the storage cabinets can be increased or decreased according to requirements, and the flexibility of material distribution is improved; and the storage cabinet and the main cabinet body are quickly butted, so that quick deployment can be realized in an emergency, and the emergency response speed of disasters is increased.

The invention relates to an intelligent acquisition, analysis, prediction and automatic violation correction method and system based on public traffic violation big data, and belongs to the field of traffic informatization and intelligent management. The objective of the invention is to identify complex and diverse traffic illegal behaviors and analyze massive illegal data. The system comprises data acquisition, processing and storage, analysis and prediction, automatic violation correction and data security. Through multi-source data access, edge calculation and distributed storage, real-time acquisition and efficient processing of illegal behaviors are realized; deep analysis is carried out on the traffic violation data by using deep learning and big data technologies; and through real-time video stream analysis, tracking, recording and evidence obtaining are performed on suspected illegal behaviors. The system adopts a multi-level security protection mechanism, data privacy and security are ensured, and flexible expansion and multi-system collaboration are realized through modular design. Compared with a traditional system, the system has remarkable advantages in the aspects of data acquisition comprehensiveness, processing efficiency, prediction accuracy, violation correction automation, data security and the like.

The invention discloses an event causal reasoning method for intelligence analysis and electronic equipment. The method comprises the following steps: acquiring a plurality of evidence fragments related to a query text from a plurality of sources, and taking the plurality of evidence fragments as an evidence fragment set; extracting entities from the evidence fragments, and linking the entities into a knowledge graph; event elements are extracted from the evidence fragments, event nodes and causal edges are generated according to the event elements, and one or more candidate causal edges are generated based on the event pairs; retrieving from the evidence fragment set to obtain one or more binding evidences of each candidate causal edge; and calling a large language model for each candidate causal edge to generate a causal assertion, performing consistency verification on the binding evidence of the causal assertion and the same candidate causal edge, combining into a traceable causal evidence chain, and performing event causal reasoning analysis. According to the method, the event-level representation is constructed, and the event-event candidate causal relationship is generated, so that a reasoning object is improved from entity co-occurrence to a reasonable and maintainable event causal structure.

The invention provides a real-time monitoring device and monitoring method for partial discharge ultrasonic signals of power equipment, and relates to the technical field of power equipment monitoring. The real-time monitoring device for the partial discharge ultrasonic signal of the power equipment comprises a distributed monitoring system based on a block chain, intelligent monitoring based on edge computing, a positioning module based on an acoustic phased array, an environment monitoring module, a safety and protection module and a power management module. The integrity and security of partial discharge ultrasonic signal data are ensured and the data are prevented from being tampered or lost by using the decentralization and tampering-free characteristics of the block chain, the monitoring data are stored on a plurality of nodes in a distributed manner, the single-point fault is avoided, the reliability and fault tolerance of the data are improved, all data operations are recorded on the block chain, and the data operation efficiency is improved. The transparency and traceability of data are ensured, auditing and fault traceability are facilitated, real-time data processing and analysis are performed near a data source based on intelligent monitoring of edge calculation, and data transmission delay is reduced.

The invention relates to the technical field of process engines, in particular to a custom code execution method and device of a process engine, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: newly adding a user-defined task node in a front-end design module of an Activiti process engine, and setting a user-defined event monitor for the user-defined task node; starting a process virtual machine to execute the custom event monitor; according to the user-defined event monitor, a JavaScript user-defined code is compiled in the NapornSandBox sandbox environment, and the JavaScript user-defined code is executed; and obtaining an execution result of the JavaScript custom code, and recording the execution result in a log record table of the Activiti process engine. By adopting the method, the flexibility of process design and the participation degree of users can be improved in the aspects of customizing and modifying the business process.

The application provides an intelligent processing method and device for auditing problem qualitative analysis and rectification tracking based on a large model and a medium. It belongs to the technical field of auditing. The system comprises a model construction module: an intelligent auditing knowledge cloud brain is constructed, and knowledge base data is generated; based on the knowledge base data, key auditing element extraction is performed on the auditing business scene, and auditing element extraction result data is generated; auditing problem matching model training is performed according to the auditing element extraction result data, and an auditing problem accurate matching model is constructed; relying on the powerful knowledge base and intelligent matching capability of the large language model, knowledge content closely related to the problem is rapidly and automatically filled in, covering key information such as problem name, manifestation form, problem qualitative analysis, qualitative analysis basis and treatment and punishment basis, which greatly saves the time of auditing personnel for manually searching and sorting data, more ensures the accuracy and integrity of the problem description, and lays a solid foundation for subsequent auditing analysis.

This invention discloses an individual motion behavior analysis system based on dynamic modal configuration and rule-guided fusion, belonging to the fields of intelligent perception, sports science, and human-computer interaction. It includes a data input module, a dynamic modal organization and configuration module, a multimodal feature modeling and fusion module, an indicator-level evaluation and behavior state prediction module, a statistical rule-guided analysis and result correction module, and a structured result generation and output module. These modules work together to form a complete closed loop for motion behavior analysis technology. This invention aims to address the problems in existing motion behavior analysis technologies, such as limited dimensionality of single-modal information, rigid multimodal fusion methods, insufficient stability and interpretability of analysis results, and strong dependence on large-scale manually labeled data.

The invention discloses an unmanned express delivery vehicle control system and method based on operation state perception, and relates to the field of unmanned express delivery vehicle control systems. The method comprises the following steps: acquiring vehicle-mounted data in a driving period through a vehicle-mounted sensor array, performing time alignment and validity marking on the vehicle-mounted data to obtain a data quality label, constructing an evidence item set based on the data quality label, generating a sub-portrait label set according to the evidence item set, and displaying the sub-portrait label set in the driving period. And generating a portrait parameter set based on the sub-portrait label set through a preset priority rule and a persistence judgment strategy. Although the scheme has excellent performance in the aspects of improving system adaptability, safety, dynamic decision-making capability, reviewable performance and resource utilization efficiency, the problems of sensor faults, data loss, real-time data processing bottleneck, label interpretation errors and the like may influence the real-time response and decision-making precision of the system in a complex or extreme environment. Therefore, the overall performance and stability are reduced, especially under the condition of high load or low signal.

The embodiment of the invention discloses a multi-language entry management method, electronic equipment and a storage medium. The method comprises the steps that a structured form file is constructed to serve as a unified data source of multi-language entries, wherein the structured form file comprises a key column used for storing a unique key name and a plurality of language columns used for storing translation texts of all languages; reading the structured table file, constructing a mapping relationship between a key name and a translated text for each language type, and generating a corresponding language entry file; and reading the plurality of language entry files, extracting and combining mapping relationships between key names and translated texts in the files, and generating the structured form file. By means of the mode, centralized management and bidirectional reversible conversion of the multi-language entries can be achieved, development and maintenance cost is reduced, multi-language consistency and quality are improved, and proofreading and auditing of the entries are facilitated.

The invention relates to a security processing data solidification method and system based on mass data, and belongs to the technical field of data storage processing. The method comprises the following steps: acquiring to-be-stored data, and performing encryption according to the to-be-stored data through an improved AES-ECC hybrid encryption algorithm to obtain to-be-stored encrypted data; constructing a block chain network, and storing the data to block chain nodes through a PBFT consensus algorithm according to the to-be-stored encrypted data; the stored encrypted data is backed up to a plurality of block chain nodes, and curing processing is performed through the data snapshot, so that strong encryption protection in the data storage and transmission process is realized, data leakage and unauthorized access are effectively prevented, data integrity is ensured, and data traceability is realized; meanwhile, data loss prevention is achieved, recovery can be carried out when a system fault or data damage occurs, the block chain network can be expanded according to needs, and the storage and processing requirements of a large amount of data are met.

This application discloses a data-aware intelligent analysis method, system, storage medium, and computer device. The method includes: receiving a target problem and initializing state information, wherein the state information includes key sub-conclusions, a reasoning state logic diagram, and key data descriptions; a language model-based agent iteratively performs the following operations: obtaining input information for the current step; updating the state information of the current step based on the action and environmental feedback information of the previous step, and making decisions based on the state information of the current step to obtain the action and tools to be invoked for the current step; invoking the tools to execute the action of the current step, and obtaining environmental feedback information for the current step after the action is completed; checking whether the target problem has been analyzed; if not, proceeding to the next loop; if completed, generating analysis results. This method can improve the reasoning ability, response consistency, and interpretability of deep reasoning models.

The utility model discloses a disassembled electric energy meter detection and management device, and belongs to the technical field of electric energy meter inspection equipment. A detection area is formed at the top of the frame; the conveying line is laid in the detection area, and the conveying line is provided with a conveying belt for conveying the electric energy meters in the length direction of the frame; the vision cameras are used for collecting the appearance and display screen information of the electric energy meter, a plurality of hanging brackets are evenly distributed on the side, located on the conveying line, of the frame and used for hanging the vision cameras, and the vision cameras are located above the conveying belt; the frame is located on the side, away from the hanging bracket, of the conveying line, the positions, corresponding to the visual cameras, of the frame are fixedly connected with the infrared sensors, and whether electric energy meters exist on the conveying belt or not is detected through the infrared sensors; and the RFID antenna is arranged at one end of the frame and is used for being communicated with the RFID reader. According to the utility model, the manual participation degree can be effectively reduced, the detection and management means of the disassembled electric energy meter by a power grid enterprise are improved, and the working efficiency is improved.

The invention discloses a lightweight virtualization isolation method and system based on a Rust token mechanism, the system comprises a token management module and a trap management module, and the method comprises the following steps: obtaining a resource demand configuration file, casting a corresponding token by using the token management module to obtain a token structural body, and transferring the ownership of the token to a VM object; the Cpu token is consumed, initialization of a CPU context is completed, and a Guest OS starts execution; when the synchronization exception is triggered to be trapped, the trapped management module obtains a corresponding exception token and processes the exception token by matching with a strategy; and when the hyper call HVC is triggered to be trapped and is a management operation, the trapped management module obtains the corresponding HVC token and the management token, verifies the HVC token and the management token, and executes the corresponding management instruction after the verification is passed. Through a token-based resource isolation method, the overhead during operation is reduced while high security is ensured, and the method has good verifiability, portability and expansibility.

The application discloses a kind of based on multi-strategy hybrid mode under insurance product process management method, it is related to computer technology field, the multi-strategy hybrid architecture of event-driven is as core in the present application, through lease main node and majority confirmation guarantee control plane single commit semantic, substantially reduce the risk of out-of-order and repeated execution in concurrent scene;With version unique identifier as anchor point, the environment and product domain information are included in the abstract context, combined with heartbeat reconciliation, standardized serialization and content definition block, the consistency check between channels is upgraded from coarse-grained version number comparison to fine-grained content check, and the missing commit can be replayed in order or the differential synchronization can be performed after deviation is found, less dependent on full coverage, shorten abnormal window;Under the condition of network jitter and node heterogeneity, timeout optimization strategy is based on robust statistical quantile threshold and hierarchical backoff, dynamically matches the delay distribution of each channel, reduces long tail waiting and cascading timeout.

The invention provides a safety operation and maintenance method and system, and relates to the technical field of operation and maintenance operation, and the operation and maintenance method comprises the following steps: creating a maintenance task; after receiving the maintenance task, the terminal equipment sends a maintenance request to the operation and maintenance gateway; the operation and maintenance gateway verifies whether the maintenance request is passed or not, and if the verification is passed, the authority of accessing the operation and maintenance gateway is opened for the terminal equipment; otherwise, blocking; after the terminal equipment accesses the operation and maintenance gateway, the maintenance task is sent to the operation and maintenance gateway; the operation and maintenance gateway executes the following steps: extracting a maintenance instruction from the maintenance task, and evaluating the risk of the maintenance instruction acting on the operation and maintenance object to obtain a maintenance instruction evaluation value; judging whether the maintenance instruction evaluation value belongs to an evaluation threshold interval or not; if so, opening the authority of accessing the operation and maintenance object for the operation and maintenance gateway; after the operation and maintenance gateway accesses the operation and maintenance object, a corresponding maintenance instruction is sent to the operation and maintenance object for maintenance; and if not, blocking is carried out. And the external connection risk and the occurrence probability of malicious code infection are reduced.

The invention discloses an intelligent report generation system and method based on knowledge graph enhancement, and belongs to the technical field of natural language processing and knowledge graph fusion. In order to solve the problems of insufficient accuracy, low efficiency and opaque reasoning process in the existing structured report generation only depending on large model intrinsic knowledge, the method comprises the following steps of: constructing a knowledge graph containing entities, attributes and relationships, and converting a user natural language problem into a structured query statement by utilizing a first large model; after an entity relationship result is obtained in the knowledge graph, a report with a clear basis is generated by the second large model; and adaptation can also be realized through query languages. By means of structured knowledge and efficient query of the knowledge graph, the accuracy and generation efficiency of the report conclusion are improved, the reasoning process is traceable, meanwhile, the flexibility and universality of the scheme are enhanced, and the method is suitable for structured report generation scenes such as enterprise data analysis and industry research.

The invention discloses a carbon emission sensing system based on electric power data, and particularly relates to the technical field of carbon emission, the system comprises a data acquisition unit, a data transmission unit, a data preprocessing unit, a data storage unit, a data analysis unit and a result display unit, and the data acquisition equipment is used for transmitting the acquired data to the central processing system, ensuring that the data acquisition equipment can be stably connected with the central processing system, and ensuring that the format and the protocol of the data transmission are consistent based on the communication protocol. According to the carbon emission sensing system based on the electric power data, errors in the data transmission process are obtained and detected through the fault detection module in the data acquisition unit, measures are taken for recovery, and when the fault detection module determines that a fault occurs in the data transmission process, the fault detection module is matched with the fault detection module in the data acquisition unit. And the transmission data is backed up at the first time to ensure that important data cannot be lost.

The invention relates to electric power engineering construction management, in particular to an information management method and system for a power transformation construction site. The objective of the invention is to solve the problem of disordered substation construction site information management, improve working efficiency, ensure safe and stable operation of equipment and improve the overall management level. The invention provides an information management method and system for a power transformation construction site. The method comprises the steps of establishing a database, importing constructor identities and substation data information, grading data, introducing an evaluation algorithm to determine a permission evaluation value, opening permissions according to grades, and recording operation. The system comprises an account management module, a work module and an information management module. Account management facilitates registration and login of different users, and the working modules cooperate to realize standard operation and recording. The method has numerous advantages, such as scientific and fair authority evaluation, prevention of information abuse, strict approval mechanism, convenience in user management, traceability of information and the like.

This invention proposes an auxiliary review prompting method, device, and medium based on leukocyte population data, relating to the field of clinical laboratory and in vitro diagnostic data processing technology. The method acquires leukocyte population data from an isolated blood sample obtained through a blood analyzer. This data includes at least location parameters reflecting the position of the leukocyte population and dispersion parameters reflecting the dispersion of the leukocyte population. A score is calculated according to a preset scoring rule; the score is compared with a stratification threshold; and laboratory review priority prompts are output based on the comparison results. This invention utilizes leukocyte population data generated synchronously during routine blood tests, eliminating the need for additional blood collection or reagents. It achieves early auxiliary triage of acute lymphoblastic leukemia and infectious mononucleosis in children through interpretable linear scoring, and is suitable for deployment in laboratory information systems or blood analyzer middleware.

The invention discloses an electronic scale control method and device based on image recognition and reverse payment, and a medium, and relates to the technical field of electronic scales. The method comprises the following steps: acquiring an image of an article placed on a scale pan, and obtaining weight data of the article; performing forward reasoning on the article image, extracting image features, and outputting a preliminary identification result of the article and a corresponding confidence coefficient; fusing the preliminary recognition result and the weight data on a feature level to generate an article identifier; in response to a reverse payment instruction initiated by a merchant, a dynamic collection two-dimensional code is rendered and generated on a terminal display screen, and a user is prompted to show a payment code image; a payment code image shown by a user is collected, and the payment code image is analyzed to obtain an encrypted collection account identifier. According to the method, the object type is automatically obtained through image recognition, fusion verification is carried out on the object type and the weighing data, the recognition accuracy and reliability are greatly improved, and a foundation is laid for automatic pricing.

The present invention discloses a biological resource management method, system and medium based on RFID, which belongs to the field of biological resource preservation technology, and specifically includes: realizing dynamic prediction of the validity period of biological resource bags and intelligent monitoring of the storage environment by integrating RFID technology, deep learning prediction model, multi-source data fusion and neural network algorithm; the system uses RFID reader to read and analyze the label information of biological resource bags, predicts and compares the validity period to determine whether the biological resources are expired; enables sensor array to monitor the storage environment, combines advanced algorithms to evaluate the environmental suitability, and marks and warns once an abnormality is found; according to the warning level and the urgency of biological resources, the system automatically triggers the emergency processing process and performs predictive maintenance; adopts blockchain technology to ensure the encrypted storage and anonymization of process data, combines smart contracts to realize automatic data recording, review and report generation, and ensures the transparency, security and efficiency of the biological resource management process.

The invention relates to the technical field of data processing, and particularly provides a production environment supervision method and system, a terminal and a storage medium, and the method comprises the steps: distributing a message queue for a monitoring device, and pushing the monitoring data of the monitoring device to the message queue; setting a theme for the monitoring device, binding a topic of the message queue for the theme, creating a data model under the theme, and associating the monitoring data to the data model; generating a theme table corresponding to the theme, and storing the monitoring data in the data model to the theme table; screening out abnormal monitoring data and generating an alarm task based on the monitoring data in the theme table and a corresponding GMP standard threshold value; and calling a target processing system to execute a processing program for the alarm task based on the task type of the alarm task and a preset corresponding relationship between the task type and the processing system. The method can ensure that the production process meets the GMP standard.

The invention relates to the technical field of computers, and discloses an intelligent behavior data analysis method based on artificial intelligence. Collecting data of at least two data sources, generating an original record identifier for the original behavior record, and associatively storing the original record identifier as an original evidence record set; preprocessing the record set to obtain a behavior event sequence, segmenting the behavior event sequence into behavior segments, and constructing a behavior primitive library; and extracting semantic features and time sequence features from the fragments, determining a candidate primitive set, inputting the time sequence features into a first artificial intelligence model to determine a target primitive, and fitting parameters to obtain a primitive mapping result. And performing consistency verification based on the constraint set, and sequentially replacing the target primitive and adjusting the boundary of the fragment to perform fallback recalculation when the verification is not passed. And generating an evidence tuple for a verification passing result, linking the evidence tuple into an evidence packet, recording a feature snapshot and a version identifier, inputting a primitive time sequence chain into a second artificial intelligence model to output a behavior analysis result, and performing recomputable playback based on the evidence packet to reproduce the analysis result.

The invention discloses an aquatic product processing security management and control system based on blockchain traceability, and relates to the technical field of network security and data traceability, and the system comprises the steps that a multi-source data collection module collects processing whole-link parameters and related information, encrypts and uploads the parameters and related information, and associates an identifier; the data preprocessing and encryption module cleans standardized data, encrypts sensitive information and generates a unique identifier; the block chain traceability core module constructs an alliance chain to realize data chaining and non-tampering traceability; the intelligent safety management and control module evaluates compliance in real time and links equipment to dispose risks; the distributed data storage module adopts a hybrid architecture to guarantee data reliability; and the visual interaction and early warning module presents information and pushes early warning. According to the invention, full-chain data credible traceability is realized based on the block chain, risks are intelligently controlled and accurately identified and disposed, multi-agent collaboration is efficient, and data security is guaranteed; the method adapts to multi-scene requirements, improves processing compliance and emergency response capability, and assists in industrial safety management and control upgrading.