194 results about "Safety management systems" patented technology

The invention discloses an intelligent management system for nuclear power plant personnel situation prediction and risk assessment, and relates to the field of intelligent safety management systems, and the system comprises a data collection unit, a multi-dimensional situation awareness unit, a risk prediction and assessment unit, an intelligent decision intervention unit and a visual interaction unit. And multi-source data acquisition, real-time situation construction, dynamic risk prediction and evaluation, intelligent early warning intervention and information visualization are realized. According to the invention, real-time monitoring, dynamic risk prediction and intelligent management of the safety state of the operating personnel can be realized, and the defects of real-time monitoring, dynamic prediction and intelligent management of the operating personnel in a high-risk area in the prior art are overcome, so that the safety management level is improved, the life safety is guaranteed, and the accident occurrence probability is reduced.

The invention discloses a block chain-based blood full-process traceability tracking and safety management system and method, and relates to the technical field of blood management, and the method comprises the steps: distributing an encrypted digital identifier with a timestamp for each blood unit; collecting physical characteristic data of the blood storage environment in real time; dynamically adjusting the state mark of the blood product based on a preset plasma quality evaluation model; a threshold signature technology is adopted to ensure that multiple medical institutions complete blood information verification and sharing on the premise of protecting privacy; when it is monitored that the blood environment parameters exceed a safety threshold value, graded early warning is generated, and an emergency processing flow is started; and establishing a blood circulation whole process auditing tracking system. The system has the advantages that the blood whole-process traceability system based on the block chain is constructed, transparent credible management of the whole life cycle of blood products from collection to use is achieved, the trust and privacy protection problem in multi-mechanism cooperation is solved, and the blood safety management level and the emergency processing efficiency are comprehensively improved.

The invention relates to a big data security management system, and provides a security management system covering a whole life cycle aiming at the problems of untrusted source end, link leakage, centralized storage of single points, extensive authorization, disposal lag and the like. The system comprises an acquisition security module, a transmission encryption module, a storage security module, an access control module, a threat detection module, a situation awareness module, a traceability module and an emergency response module. A session basis is generated through multi-factor authentication, a dynamic key is derived according to time slices, and data fragments are encrypted one by one; distributed storage is adopted, and metadata is chained to be non-tampered; implementing fine-grained authorization by taking the attribute as a core; utilizing a sequence model linkage knowledge graph to identify abnormity and calculate a risk index; and when the threshold is exceeded, automatically reconstructing a log chain and executing isolation, alarm or recording. According to the system, trusted acquisition, confidential transmission, traceable storage, fine authorization and automatic disposal are realized, and the safety and compliance are remarkably improved.

The invention provides a hydropower station full-scene intelligent inspection and safety supervision method and device. A two-legged inspection robot with anti-explosion and anti-vibration capabilities is deployed to realize all-terrain autonomous inspection of equipment nodes in the hydropower station; based on a digital twinborn model and an edge computing platform, fusing equipment state data and personnel behavior data acquired by a robot in real time, identifying equipment defects and personnel violation behaviors through an AI algorithm, and generating graded early warning information; the robot is controlled to carry out real-time intervention through a voice module, early warning information is pushed to a safety management system, and an equipment operation authority locking mechanism is linked; through optimizing a path planning algorithm and a multi-robot cooperative scheduling strategy, rapid response and autonomous obstacle avoidance of the robot under an emergent task are realized. According to the method, full-scene automatic inspection of the hydropower station and real-time supervision of personnel behaviors can be realized, the equipment defect identification accuracy and the emergency response efficiency are remarkably improved, and the manual inspection cost and the non-planned shutdown risk are reduced.

The invention discloses an intelligent alarm system based on a real-time video stream of a platform, and relates to the technical field of video processing early warning, and the intelligent alarm system comprises a data collection module which carries out the real-time monitoring based on a monitoring camera, reads the image data of a point position camera, carries out the standardization and normalization of the data, and carries out the unified input of the image data; and the target discovery module is used for inputting the preprocessed image frame and the monitored area, identifying and positioning pedestrians in the image frame by adopting an algorithm based on target detection, performing label processing on the identified pedestrians based on a detected tracking algorithm byterack, and outputting the residence time of the current frame target in the monitored area. According to the platform safety management system, various advantages are brought to platform safety management, the alarm threshold value can be flexibly adjusted, decision support is provided, management personnel are helped to analyze passenger flow, optimize deployment and troubleshoot hidden dangers by recording related data, a'early warning-processing-optimization 'closed loop is formed, the safety management and control level is improved, and safety accidents are effectively prevented.

The invention belongs to the field of smart park safety management, relates to a data analysis technology, is used for solving the problem that comprehensive analysis cannot be carried out by combining risk priorities of routing inspection nodes and spatial distribution conditions among the nodes in the prior art, and particularly relates to an operation and maintenance safety management system adaptive to a smart park. Comprising a confidence evaluation module, a double-line analysis module, an inspection configuration module and a task distribution module which are in communication connection in sequence, and the double-line analysis module, the inspection configuration module and the task distribution module are all in communication connection with a database; according to the method, the inspection task is planned from two core dimensions of risk priority and inspection efficiency; the confidence route ensures that the high-risk nodes can be processed preferentially, and the efficiency route ensures that the total routing inspection path is shortest; the bidirectional analysis mechanism enables the system to better balance the urgency and the overall efficiency of inspection in the subsequent configuration and distribution process.

The invention relates to the technical field of steel production management, and particularly discloses an intelligent safety management system for steel production, which comprises a multi-source data acquisition module, a data fusion processing module, a digital twin modeling module, a production risk identification module, a dynamic risk assessment module and an intelligent early warning decision module. The method comprises the following steps: acquiring multi-source data of steel production, carrying out fusion processing on the multi-source data, constructing a digital twinborn model of a steel production line, updating the digital twinborn model of steel production based on security situation awareness data, generating a corresponding production risk coefficient and an environment risk coefficient, and further establishing a steel production dynamic risk assessment model. Performing dynamic risk assessment on steel production; by introducing multi-source heterogeneous data fusion, digital twin model dynamic evolution and quantitative risk assessment technologies, the real-time performance, accuracy and decision-making efficiency of steel production safety management are improved, and an innovative solution is provided for safety management and control of a complex industrial system.

The invention discloses a multifunctional safety box and a safety management system, and relates to the technical field of safety access. A multifunctional safety box safety management system comprises a multi-dimensional access verification module, a real-time joint scoring module, a risk reevaluation module, an event sequence analysis module, a linkage control module and an evolution management module. According to the method, the behavior-environment collaborative vector between the access behavior characteristics and the environment state is constructed, initial risk scoring is performed based on state deviation degree modeling, and a coupling strength judgment mechanism is introduced on the basis, so that the sensitivity and recognition accuracy of behavior and environment co-occurrence anomalies can be remarkably improved; the coupling strength is calculated through the abnormal co-occurrence frequency, the similarity and the information interaction degree in the behavior-environment vector, and the coupling strength exceeding a threshold value is used for dynamically adjusting the initial scoring level, so that the recognition capability of the composite potential attack behavior is effectively enhanced.

The invention discloses a new energy vehicle safety management system and method based on reinforcement learning. The system comprises a data input module, a power system modeling module, a power battery modeling module, a reinforcement learning algorithm module, a distributed training framework module, an energy management strategy output module and a data storage module. The reinforcement learning algorithm module adopts a reinforcement learning algorithm based on a Transformer agent, can accurately capture long-time sequence association of the state of the hybrid vehicle, and solves the problem that a traditional regular method is rigid in adaptability; through a power system modeling module and a power battery modeling module, a battery health state attenuation model and a heat generation safety constraint are fused in decision making, and a regularization mechanism is matched, so that the risks of large-current discharge, battery overheating and the like can be effectively avoided, and the service life of the battery is prolonged; the distributed training framework module provides a distributed reinforcement learning training framework, so that the strategy reasoning time is greatly shortened, and the millisecond-level control requirement of a real vehicle is met.

The invention relates to the technical field of automatic driving, in particular to an open type automatic driving safety management system and method supporting multi-benefit-party strategy arbitration, and the system comprises an open type safety strategy interface module which is used for defining a standardized strategy description specification; the strategy plug-in management module is used for receiving and loading the strategy plug-ins conforming to the strategy description specifications; the perception and fusion module is used for collecting the vehicle state data, the environment perception data and the service context data and fusing the data to generate a unified context model; the multi-strategy evaluation module is used for screening a candidate strategy set according to a unified context model and a trigger condition when an abnormal event is detected, and evaluating and selecting an optimal strategy; and the strategy execution and monitoring module is used for executing the action template corresponding to the optimal strategy. According to the invention, the automatic driving vehicle can select adaptive degradation strategies according to different operation scenes and business requirements, and the adaptability of the system to diversified business scenes is improved.

The invention discloses a BIM (Building Information Modeling)-based pile support foundation pit whole-process safety management system, relates to the technical field of foundation pit safety management, and aims to solve the technical problem of frequent false alarm caused by insufficient construction interference identification capability of a fixed threshold alarm mechanism. And a decision intervention module. According to the method, the multi-source information atlas is constructed, and construction activities, equipment states, environmental factors and monitoring data are dynamically associated. When the data is abnormal, the root cause correlation analysis unit is started, and the intensity and duration characteristics of the abnormal signal are calculated by using a time sequence characteristic extraction algorithm and are compared with the historical pattern library. The mechanism can intelligently judge whether data abnormity is derived from construction interference such as substantive soil body / structure instability or heavy equipment operation, the alarm accuracy is remarkably improved, and the problem of frequent false alarm caused by insufficient construction interference identification capability of a fixed threshold value alarm mechanism is solved.

Methods, systems, and computer storage media for providing data security posture management using an application discovery engine in a security management system. Application discovery supports identifying and mapping various applications within a computing environment. In particular, application discovery can be provided as part of security management operations to assess security posture of applications, identify vulnerabilities, and ensure compliance with regulations. In operation, application discovery data associated with a plurality computing resources of a computing environment is accessed. An annotated application discovery graph comprising a plurality of entities that represent the plurality of computing resources is generated. The annotated application discovery graph is deployed to support generating security postures for computing environments. A request is received for a security posture of the computing environment. A security posture visualization that includes an application discovery graph annotation is generated. The security posture visualization is communicated to cause display of the security posture visualization.

Methods, systems, and computer storage media for providing security incident prioritization management using an adaptive incident prioritization engine of a security management system are described. The adaptive incident prioritization engine provides security incident prioritization based on an adaptive incident prioritization (AIP) framework built using a ranking algorithm. In particular, the adaptive incident prioritization framework employs a Best Matching 25 (BM25) algorithm and strategically and programmatically adapts the algorithm (e.g., an adaptive incident prioritization model) to rank security incidents based on a local security incident relevance metric (an adaptation of Term Frequency—TF—in BM25) and a global security incident rarity metric (an adaptation of Inverse Document Frequency—IDF—in BM25) associated with security incidents. A prioritization score for a security incident is calculated based on aggregating weighted frequencies of security incident ranking components (e.g., security incident metadata) within a security incident to determine an overall significance of the security incident.

The invention relates to the technical field of secret-related electronic file transmission and management, and discloses a secret-related electronic file secret transmission safety management system which comprises a safety management system. The security management system comprises a hardware security support layer, a distributed security storage layer, a file full life cycle security management layer, a user identity authentication and behavior auditing layer, a security auditing layer and an emergency response layer. The confidential electronic file secret transmission security management system integrates a trusted computing chip, security boot firmware, a physical unclonable function (PUF) and an optical isolation technology through a hardware security support layer, is different from a traditional system which only depends on software protection, constructs a trusted execution environment from a hardware bottom layer, guarantees the operation credibility by using the trusted computing chip, and improves the security of the confidential electronic file. The secure boot firmware blocks illegal program loading, the PUF endows the hardware with a unique uncounterfeited identity, and the optical isolation realizes physical level network isolation, so that threats such as hardware tampering and physical attacks are radically defended.

The invention relates to the technical field of machine learning and privacy computing, and particularly discloses an ERP financial data sharing security management system based on AI and privacy computing. The system comprises a data grading desensitization module, a distributed privacy calculation engine, a cross-chain audit evidence storage module and a dynamic compliance verification module, and through closed-loop cooperation of grading desensitization, secret state calculation, double-chain evidence storage and real-time verification, whole-process traceability, tampering prevention and dynamic compliance guarantee of financial data in the sharing process are achieved. And the data security and auditing transparency are improved.

The invention relates to the technical field of data security management, and discloses a security management system for data access control. The system comprises an access request receiving unit, a hierarchical analysis unit, a space mapping unit, a permission decision unit and a permission execution unit. The access request receiving unit obtains a data access request of a user, and analyzes a request main body identifier and a request resource identifier. The layering analysis unit carries out layering processing on the resource identification and extracts resource level feature information. And the space mapping unit retrieves the historical access log according to the main body identifier, and constructs an access behavior space distribution model. And the authority decision-making unit generates a dynamic access authority strategy in combination with the resource level characteristics and the access behavior space model. And the permission execution unit controls the access operation of the user to the resources according to the strategy. The system can adapt to a complex data resource structure and realize fine-grained dynamic access control.

The application relates to the field of intelligent warehouse management, and discloses a safe operation management platform system for intelligent warehousing, which comprises a sensing and modeling module, a path scheduling module, a fault prediction module and a visual interaction module. The sensing and modeling module constructs a real-time space model, which is used by the path scheduling and visual interaction modules. The path scheduling module plans a path based on the space model, and executes event-driven path reconstruction when an emergency obstacle occurs. Meanwhile, the scheduling strategy is optimized in combination with the equipment state evaluation of the fault prediction module and the user control instruction of the visual interaction module. The fault prediction module analyzes equipment operation data and feeds back risk information in advance. The visual interaction module integrates system state display and artificial intervention instruction transmission, and forms an intelligent safety management system with multi-module linkage.

The invention provides a goods safety management method and system for a refrigeration and freezing unit and a readable storage medium. The goods safety management method for the refrigeration and freezing unit comprises the steps that a modification instruction sent by a request terminal is acquired; performing identity verification on the request terminal, if the identity verification is passed, receiving a modification instruction, and writing execution parameters in the modification instruction into a FLASH storage unit; controlling the refrigerating unit according to the execution parameters; heartbeat packets are periodically sent to the server, and if an abnormal event is detected, an abnormal flag bit is embedded in the next heartbeat packet; and obtaining a data query request sent by the server, and reporting the operation data to the server. The refrigeration unit cargo safety management method is applied to the refrigeration unit cargo safety management system. The invention further provides a readable storage medium applying the refrigeration unit cargo safety management method. The goods safety management method and system for the refrigeration and freezing unit have the advantages of high safety and low use cost.

The invention discloses an automobile front hatch cover safety management system and an automobile product, in the automobile front hatch cover safety management system, a control module performs function limitation on at least one vehicle-mounted part of an automobile according to locking state information, and the locking degree of a front hatch cover can be mapped into the function limitation degree of the vehicle-mounted part, so that the locking degree of the front hatch cover can be mapped into the function limitation degree of the vehicle-mounted part. By means of the technical scheme, a user can feel the function limitation of the vehicle-mounted component which is difficult to neglect when using the automobile, so that the user can pay attention to the locking degree of the front hatch cover, the user can pay attention to the locking degree of the front hatch cover, especially the situation that the front hatch cover is not locked or even completely unlocked is noticed, and the user experience is improved. Therefore, the front hatch cover is closed and locked in time, the danger that the front hatch cover is damaged due to relative movement with an automobile body due to the fact that the front hatch cover is not locked and even collides with a front windshield or shields sight due to the fact that the front hatch cover is lifted by wind is reduced, and driving safety is guaranteed. The invention is widely applied to the technical field of automobiles.

The invention discloses a cross-border payment information security management system and method based on distributed storage, and relates to the technical field of transaction data security management. According to the system, firstly, through a distributed storage and synchronization module, grade slicing is carried out based on a cross-regional distributed node network, then data synchronization of all nodes is completed by means of a consensus mechanism, and it is ensured that transaction records are consistent and cannot be tampered; after data synchronization, the hierarchical authorization and access control module carries out access level authorization, the access range and the authority level of a user are determined, and cross-regional unauthorized acquisition is prevented through authority management control; and finally, the security management and compliance verification module obtains the transaction data after authority management and control, end-to-end encryption is performed during transmission between nodes, and automatic compliance verification is completed in combination with a multi-region supervision rule base, so that cross-mechanism and cross-region access security is ensured, the problems of cross-node data synchronization delay and flow low-efficiency superposition are effectively solved, and the security of the transaction data is improved. And the reliability of cross-border payment transaction data security management is improved.

The application discloses a kind of based on file data tamper-proof security management system and method, comprising the following steps: step one: original file data and file access behavior log information are collected, and content fragmentation processing is carried out;Step two: based on file data segment set and file access behavior log information, file access heterogeneous graph is constructed;Step three: file access heterogeneous graph is input to improved GATv2 model, and the final embedding vector of each node is generated;Step four: based on the final embedding vector of each node, generate multiple logic copies, generate corresponding quantum signature value and form chain signature fingerprint record;Step five: record current access track, and based on Soft-DTW, alignment analysis is carried out;Step six: calculate current quantum signature value and compare with chain signature fingerprint record.The application fuses improved GATv2 model and quantum signature technology, realizes file data tamper-proof and trusted audit.

The invention discloses an intelligent safety management system based on multi-mode perception and AI analysis, and relates to the technical field of intelligent safety management systems, the intelligent safety management system comprises an intelligent safety helmet, a central control unit, a high-precision positioning module, a visual communication module and a voice talkback module, the system is provided with a GPS / Beidou receiver, a UWB tag, a camera and a microphone, is used for collecting position information, video streams and audio streams, and is also provided with an environment monitoring sensor, an emergency call button and an SOS one-key alarm button. And the central control unit is used for receiving the data from the intelligent safety helmet and analyzing and processing the data through an AI algorithm. According to the intelligent safety management system based on multi-mode perception and AI analysis, the high-precision positioning module is combined with GPS / Beidou and UWB technologies, high-precision positioning of indoor and outdoor seamless switching is achieved, and the central control unit can analyze data by using an AI algorithm, so that potential safety hazards are warned in advance.

The application relates to the technical field of digital security management of assets, and discloses a digital security management system and method, which extracts to-be-scanned asset identification and scanning strategies by analyzing a digital security scanning task, considers network bandwidth and scanning result data warehousing queues of a scanning engine performing scanning, combines asset risk attributes, scanning features and system resource constraints, generates a digital security management strategy, and further controls scanning and data warehousing actions performed by the scanning engine. Thus, the application realizes accurate matching of scanning frequency and asset risk through a dynamic risk assessment mechanism, avoids the complexity and subjective bias of traditional manual strategy setting, comprehensively considers global system resource restrictions such as scanning engine load, network bandwidth and data warehousing queues, optimizes scanning task scheduling, completely solves the resource competition problem that is prone to occurring in traditional scanning, avoids system performance bottlenecks, and significantly improves scanning efficiency and the timeliness of security assessment.

The present invention relates to a safety management system for a worker performing management work on an elevator and a method for using same. A safety management system, according to one embodiment of the present invention, may comprise: a safety management server storing risk information for each elevator; and a terminal outputting risk information of a corresponding elevator received from the safety management server via an application. The safety management server may include a risk information storage device and a risk information management device. The risk information storage device may store the risk information for each elevator. In addition, the risk information management device may transmit, to the terminal, risk information of an elevator requested from the terminal, from among the risk information for each elevator stored in the risk information storage device. Here, the risk information may be information on risk factors that interfere with safety of the worker performing the management work of the elevator.

The invention discloses a security management system based on NB-IoT (Narrow Band Internet of Things) and a management method thereof. The system comprises a terminal security access module, a communication encryption module, a dynamic key management module, a credible upgrading and tracking module and a security policy linkage module. According to the invention, through cooperation of terminal multi-operator adaptive access, SM2 / SM4 hybrid encryption communication, dynamic key life cycle management and credible remote upgrade and tracking, end-to-end communication security, key dynamic management and firmware security upgrade are realized; communication abnormity and security events can be monitored in real time, and the key refresh cycle, the security level parameter and the network optimization threshold are self-learned and adjusted through the security policy linkage module, so that a closed-loop protection mechanism is formed; therefore, the problems of single terminal network access, fixed secret key, lack of remote upgrading capability, difficulty in safety state tracing and the like in the prior art are effectively solved.

This invention relates to the field of remote monitoring and discloses a hot work safety management system and method based on remote monitoring. One method includes: constructing a preliminary scenario for the work location, fire source intervention method, and isolation measures; implementing a progressive tracking mechanism for the triggered state of the work access framework to reconstruct the changes in the hot work process; comprehensively analyzing images, sounds, warning zone markings, and personnel disturbances transmitted from the site using a work deviation recognition model; digitally labeling the work units and impact ranges corresponding to protection failure scenarios in the background monitoring interface to form a hot work traceability ledger for file location and reverse tracing of responsibility links; and dynamically adjusting the marking colors, prompts, and inspection priorities in real time based on the dynamic updates of the hot work traceability ledger to generate management instructions for the construction site. This invention has the advantage of improving regulatory transparency.

The invention relates to the field of park safety management, and discloses an agriculture and light complementary photovoltaic park safety management system based on a digital twinborn technology, which is used for providing support for sustainable development of an agriculture and light complementary photovoltaic park. Comprising the following steps: constructing a multi-physical coupling digital twinborn model based on multi-class data of a physical park, and generating a dynamic virtual park; analyzing energy flow interaction, generating energy state space representation, and further calculating a resonance mode of the composite system to obtain a stability precursor index; risk and abnormity are evaluated in combination with the topological structure, and a safety regulation and control strategy is generated; and finally, generating a targeted instruction. According to the method, a visual and comprehensive park state view is provided for personnel, professional deficiencies are made up, an administrative process is optimized to quantify data to support scientific decisions, and the problem of basic capability utilization of the agriculture and light complementary photovoltaic park in the aspects of safety management and collaborative development is effectively solved.

The application discloses a private protocol transmission security management system and method based on a one-way communication device, and relates to the technical field of network security. The method comprises the following steps: extracting the communication characteristics of a private protocol and performing normalization processing, and constructing a private protocol feature library; deploying a protocol analysis engine on the low-security side of a one-way optical shutter, performing deep detection on the out-domain data stream, identifying the private protocol, and extracting the current session protocol characteristics; matching the extracted characteristics with the feature library, and performing compliance verification and content filtering according to a security policy after successful matching; the verified data is encapsulated into a transmission format allowed to pass through the one-way optical shutter, and is sent to the high-security side through the one-way optical shutter; the received data is reorganized, and integrity and consistency verification is performed on the high-security side, and after the verification is passed, an audit log is recorded and forwarded to a target system; the protocol behavior and the session state are monitored in real time, and a security alarm is triggered and the transmission is blocked for unknown protocols or abnormal behaviors.

1. Name of the product in this design: Graphical User Interface for a Trusted Security Management System for Computing Boards in Electronic Devices. 2. Purpose of this design: An electronic device. 3. The key design feature of this product lies in the graphical user interface on the screen. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Design 1 is designated as the basic design. 6. Purpose of the graphical user interface: This design is used to configure the trusted security management policy of the computing board hardware and display the status log of policy protection execution. 7. Human-computer interaction method of graphical user interface: After the program runs, the main view of Design 1 appears; click the "Whitelist" button in the middle of the main view of Design 1 to enter the whitelist interface of the computing board dynamic and static measurement security software, i.e., the interface change state diagram 1 of Design 1; click the "Remote Proof" button on the left side of the interface change state diagram 1 to enter the remote proof execution status log interface of the computing board, i.e., the interface change state diagram 2 of Design 1; click the "Critical Process" button on the left side of the interface change state diagram 2 of Design 1 to enter the critical process protection policy configuration interface of the computing board, i.e., the interface change state diagram 3 of Design 1; click the "Log" button in the interface change state diagram 3 of Design 1 to enter the critical process protection status log display interface of the computing board, i.e., the interface change state diagram 4 of Design 1; click the "Critical Directory" button on the left side of the interface change state diagram 4 of Design 1 to enter the critical directory protection policy configuration interface of the computing board, i.e., the interface change state diagram 5 of Design 1. After the program runs, the main view of Design 2 will appear. Click the "Board Middleware" button on the left side of the main view of Design 2 to enter the middleware management interface of the calculation board software, which is the interface change status diagram of Design 2.

The application provides an SMS auditing system and method based on multi-agent cooperation and GraphRAG, and relates to the technical field of safety management system. The system analyzes structured evidence objects containing evidence types, entity binding, applicable scope and positioning information. Compile the regulatory provisions and inspection sheet items into compliance obligation automata, generate evidence pattern constraints for each obligation state, and perform executable evaluation in evidence pattern language. Based on the joint constraint of knowledge graph structure and vector index, the candidate evidence is retrieved and sorted, and the compliance proof object containing obligation coverage mapping, evidence identification set, conflict / immunity resolution path and recomputable verification instruction is constructed. The verification module checks the coverage, pattern satisfaction, resolution consistency and positioning traceability. When the verification fails, the counterexample object is generated and the retrieval constraint and graph traversal boundary are automatically rewritten to close the loop and converge, and the low confidence prompt is output combined with the counterfactual stability check.