82 results about "Strategy analysis" patented technology

The invention relates to the technical field of satellite communication, in particular to a high-orbit and low-orbit satellite communication resource scheduling method and system, which collects real-time state information of high-orbit and low-orbit satellites, performs digital simulation of a satellite network based on the real-time information, constructs a satellite network management model and predicts satellite trajectory change. The method comprises the following steps: performing multi-dimensional evaluation on a satellite network management model by using a pre-constructed network evaluation framework, generating cross-orbit link evaluation information, analyzing parameters such as link quality and bandwidth, obtaining current service demand information, analyzing a communication resource allocation strategy in combination with a cross-orbit link evaluation result, and formulating a resource scheduling strategy according to strategy analysis. And a high-orbit and low-orbit satellite communication network is constructed through execution of a hierarchical network management mechanism and a cross-orbit data transmission protocol.

The invention discloses an electric power information operation violation risk supervision system based on a knowledge graph, which relates to the field of violation risk supervision and comprises a dynamic graph construction module, a causal analysis module, a strategy analysis module, a strategy modeling module and a supervision decision module. The method comprises the following steps: obtaining multi-type electric power operation field sensing data and information system data, and carrying out data processing and knowledge graph dynamic construction to obtain a dynamic knowledge graph; performing risk situation quantification and risk decision point inference based on the dynamic knowledge graph to obtain a key causal decision point set; based on the key causal decision point set, through strategy logic analysis, obtaining a logic rule set which can be directly deployed and executed; according to the method, a logic rule set which can be directly deployed and executed is subjected to dynamic strategy evolution of a stochastic differential equation to obtain a dynamic strategy model, and the dynamic strategy model is subjected to decision optimal screening of measurement transformation to obtain an optimal supervision decision set, so that a risk value can be accurately calculated, and the supervision response speed can be increased.

The invention relates to the technical field of computers, and discloses a legal case strategy analysis method and system, electronic equipment and a storage medium, and the method comprises the steps: analyzing a to-be-analyzed legal case, extracting key information, and constructing a dynamic affair graph based on the key information; matching with a historical case database by adopting a multi-dimensional class case retrieval method on the basis of the dynamic event atlas, and retrieving similar historical cases; based on the judgment result information of the similar historical cases, performing analysis in combination with key information or a dynamic affair map of the to-be-analyzed legal case, and generating judgment result prediction of the to-be-analyzed legal case; and fusing the dynamic affair atlas, similar historical cases and judgment result prediction, calling a large language model adjusted by a law field instruction through a retrieval enhancement generation architecture, and generating a litigation policy analysis report with a preset structure part. According to the method, the automation degree and depth of case information processing are improved, and closed-loop generation from analysis to strategy is realized.

The invention relates to the technical field of machine control, and discloses a chemical safety inspection robot control system and method based on sensor fusion, and the system comprises a data fusion module, a strategy construction module, a strategy analysis module, a real-time monitoring module, an optimization instruction module, and an event determination module. Original data of the chemical environment is fused into standardized data, and structural features are analyzed to identify risk factors; constructing a security situation map, mapping the security situation map to the robot, and determining a control strategy; when the robot begins to inspect, analyzing the control strategy to control the movement adjustment path action and the path safety inspection action of the robot; coding the movement adjustment path action and the path safety inspection action into a safety control instruction; optimizing the safety control instruction to obtain an optimized control instruction; when the robot completes inspection, an environment safety abstract and an abnormal event record are obtained; the control accuracy of the chemical safety inspection robot can be improved.

The invention discloses an intelligent asset dynamic monitoring method and system based on full life cycle management, and relates to the technical field of asset full life cycle management, and the method comprises the steps: carrying out the twinborn modeling based on the structure attribute information of a target asset, generating an asset virtual twinborn body, recognizing a key part, deploying a sensor, and constructing an asset multi-dimensional sensing network; acquiring asset operation data flow through the network, and mapping the asset operation data flow to twin monitoring and prediction to determine current operation state parameters of assets; constructing an asset full life cycle strategy according to asset management requirements, and matching a current state to obtain a current-stage management strategy of the assets; and determining management parameters based on stage strategy analysis, and performing asset decision management. The technical problems that in the prior art, it is difficult to accurately obtain the state data of all stages of the full life cycle of the assets, and accurate management and decision making of the assets cannot be met are solved, and the technical effects that the state data of all stages of the full life cycle of the assets are accurately obtained, and the accurate management and decision making requirements of the assets are met are achieved.

The invention relates to the technical field of network slicing, and discloses a wireless network multi-link communication method based on dynamic link configuration. The method comprises the following steps: collecting state data of heterogeneous links such as cellular links, Wi-Fi links and satellites in real time, and constructing a global network state view; analyzing the network slice SLA and converting the network slice SLA into a quantitative performance constraint; predicting the future performance of the link by using a gating circulation unit neural network; generating a global optimal data flow routing and distribution strategy meeting the QoS (Quality of Service) requirements of the slices in the central controller based on reinforcement learning; and compiling the strategy into a configuration instruction and issuing the configuration instruction to the terminal and the access point for execution. The system comprises a state sensing module, a strategy analysis module, a prediction modeling module, a strategy generation module and a configuration execution module. By means of predictive planning and intelligent decision making, dynamic, fine and on-demand scheduling of heterogeneous resources is achieved, and the network resource utilization rate and the multi-service service quality guarantee capacity are remarkably improved.

The invention discloses a retry strategy determination method and device, equipment, a medium and a product, and the method comprises the steps: responding to a call failure event of a first method, and obtaining call abnormal information of the call failure event and system state information when the call failure event occurs; preprocessing the calling abnormal information and the system state information to obtain a feature vector of a calling failure event, and taking the feature vector as a retry strategy analysis sample of the first method; and in response to triggering of retry strategy optimization analysis, inputting the retry strategy analysis sample into a pre-configured strategy optimization algorithm to obtain a method call retry strategy of the first method. According to the technical scheme provided by the embodiment of the invention, the problem that the statically configured retry strategy is not matched with the retry demand of the business scene is solved, and the retry strategy can be dynamically updated based on the abnormal information of the method calling failure and the system information, so that the business scene demand is met, and the retry success rate is improved.

The invention provides a lightweight large model operation method based on end-side deployment. The lightweight large model operation method comprises the following steps: acquiring equipment operation data and storing a model file in a mixed precision format according to quantization precision supported by terminal equipment; determining a mixing precision quantification strategy and carrying out strategy analysis on the equipment operation data; a Key-Value cache file obtained through model reasoning in the historical dialogue is reserved; calculating a semantic embedding vector of the second user request, calculating a cosine similarity between the semantic embedding vector and the first V vector, and judging whether the second user request has a similar intention or not according to a calculation result; and if yes, performing incremental reasoning on the second user request by multiplexing the Key-Value cache file. By monitoring the state of the terminal equipment in real time, dynamically adjusting the quantization level, multiplexing the cache data of the semantic related requests and merging batch request reasoning, the effects of balancing the energy consumption and performance of the terminal equipment, reducing repeated calculation and improving the service time of the equipment and the user experience are achieved.

The invention relates to the technical field of space planning, in particular to an intelligent optimization method for territorial space planning fusing multi-objective evolution. The method comprises the following steps: carrying out multi-modal territorial space characterization analysis on territorial space heterogeneous data to generate multi-modal territorial grid characterization space data; performing territorial multi-modal feature analysis processing on the multi-modal territorial grid representation spatial data to generate territorial planning unit multi-modal feature data; carrying out evolution trend analysis on the territorial planning unit multi-modal characteristic data to generate territorial planning unit evolution trend data; performing territorial space planning multi-target optimization strategy analysis based on the territorial planning unit evolution trend data to generate territorial space planning multi-target optimization strategy data; and carrying out multi-objective evolution territorial space planning intelligent optimization processing through the territorial space planning multi-objective optimization strategy data to generate territorial space planning intelligent optimization data. According to the invention, intelligent land and land space optimization planning is realized.

The invention discloses a waste heat recovery strategy analysis method and related equipment, and the method comprises the steps: firstly obtaining the flow and inlet temperature of each waste heat medium, and calculating the theoretical waste heat recovery power hour by hour in combination with environmental parameters and discharge temperature limitation; an energy conversion model is established based on the power and the equipment performance parameters, and a cascade framework is constructed according to the waste heat grade; and finally, by taking system energy efficiency maximization as a target, establishing an optimization model containing multiple types of constraints for solution, and obtaining an optimal equipment configuration and operation strategy. According to the cascade structure, efficient matching of waste heat and equipment is achieved, and recycling waste caused by mismatching is avoided; variable heat utilization requirements can be dynamically responded through hourly calculation and load constraint, and accurate space-time matching of waste heat and the requirements is achieved; the multi-constraint model enhances the multi-target optimization capability and makes up for the optimization deficiency in the prior art; the system planning process solves the problem of systematicness shortage of an existing method, the waste heat potential is effectively excavated, and the efficiency of the waste heat utilization comprehensive energy system is improved.

The invention relates to the technical field of digital marketing management, and discloses a Malus hupehensis cloud digital marketing service management platform. The system comprises a marketing service management module, a marketing data stability analysis module, a marketing strategy configuration module and a marketing execution optimization module. Wherein the marketing service management module collects global marketing data and constructs a multi-dimensional historical marketing data set; a marketing data stability analysis module traverses the data set for stability analysis, and outputs product, channel and user behavior stability factors; the marketing strategy configuration module takes the stability factors as indexes, and searches and determines a target marketing strategy decision value in a marketing strategy configuration space in a centralized manner; the marketing execution optimization module generates an execution scheme based on the decision value and optimizes execution process data in real time through a marketing strategy analyzer. According to the platform, the whole-process systematic management of marketing data is realized, the marketing management efficiency and strategy accuracy are improved, and enterprises are assisted to adapt to the change of a digital marketing environment.

The invention discloses a multi-site collaborative energy storage centralized control scheduling method, which relates to the technical field of multi-site collaborative energy storage, and comprises the following steps of: after an ambiguity condition of a scheduling strategy is identified, constructing a response mode vector based on a site historical scheduling behavior, and utilizing a response prediction model fusing a multi-head attention mechanism and a behavior trajectory transformation network to obtain a multi-site collaborative energy storage centralized control scheduling strategy; determining a site response behavior difference under the condition that the scheduling strategy has ambiguity; according to a site response behavior difference result, a strategy analysis prompt instruction is generated through a behavior deviation value mapping mode, the strategy analysis prompt instruction and an original scheduling strategy are combined to construct a structured scheduling strategy with a consistent analysis path, and unified analysis and constraint control of scheduling strategy execution logic are achieved. According to the method, the problem of multi-site response behavior difference caused by an ambiguous scheduling strategy is solved, unified analysis and closed-loop control of the scheduling strategy are realized, and the consistency and stability of cooperative scheduling are guaranteed.

The invention relates to the technical field of distribution network OCS self-healing strategies, and discloses a distribution network OCS self-healing strategy automatic simulation system, method, device and medium, and the method comprises the following steps: the system comprises a strategy analysis module, a fault modeling module, a simulation execution module, a result verification module and a report generation module; the established system can ensure that in a simulation environment independent of a real-time system, a self-healing strategy is automatically analyzed, a fault scene set covering a whole line section of a feeder line is generated, single-point / multi-point, multi-loop concurrent and remote control success configurable fault simulation is supported, and the fault simulation efficiency is improved. And a verification report containing abnormal positioning can be automatically output by triggering the self-healing logic to execute and compare the actual action with an expected result. According to the invention, reliable simulation detection of the self-healing strategy is realized, errors and omissions caused by manual operation are avoided, and the quality of the self-healing function of the distribution network is improved.

The application provides a kind of visual construction management method and system, belong to construction management field.Therein, the method includes: the standardization processing of the multi-source laminated data in construction display area is carried out, and the standardization data structure is constructed;The laminated feature vector of standardization data structure is extracted;According to laminated feature vector, the conflict field calculation of any two laminated in construction display area is carried out, and the laminated conflict intensity distribution diagram is generated;The conflict field feature of laminated conflict intensity distribution diagram is extracted, and the conflict clustering output multiclass conflict level area is carried out;The differential fusion strategy analysis of multiclass conflict level area is carried out, and the multiclass visual fusion expression is obtained, according to multiclass visual fusion expression, visual output management is carried out in construction display area.The application carries out laminated conflict quantitative analysis and differential adaptive fusion, so that multi-source laminated data is clearly and accurately expressed in the same construction display area, and information conflict and expression distortion are eliminated.

An object of a system according to an embodiment is to provide support for efficiently clearing a game that has not been cleared by a player.SOLUTION: A system according to an embodiment includes a game information acquisition unit, a strategy analysis unit, an advice providing unit, an assist operation unit, and an auto play unit. The game information acquisition unit acquires information on a game that the player wishes to clear. The strategy analysis section analyzes a strategy method based on the game information acquired by the game information acquisition section. The advice providing unit provides advice based on the strategy method analyzed by the strategy analysis unit. The assist operation unit assists an operation of a player. The auto-play unit automatically plays a game.SELECTED DRAWING: Figure 1

The invention relates to the technical field of city management, and discloses a city governance command and dispatch system based on one-network unified management. Comprising a work order queue summarizing module for summarizing civil complaint work orders of the same work order type into a work order queue, a target jurisdiction marking module for marking a target jurisdiction from an urban jurisdiction, a target jurisdiction dividing module for dividing the target jurisdiction into an emergency jurisdiction and a common jurisdiction, and a work order strategy analysis module for analyzing a command and dispatch strategy of the civil complaint work orders. According to the method, the problems of cross-jurisdiction matching and misjudgment of similar or similar public conditions and meanings in different urban jurisdictions can be avoided, the recognition accuracy of the target jurisdictions is improved, and the emergency priority degree of processing and solving the civil complaint work order of the target jurisdictions can be expressed from different time dimensions of the past time and the current moment; different analysis logics and ideas are provided for subsequent command and dispatch strategies, and the effects of intelligent analysis, research and judgment and command and dispatch treatment of the public hotspots are guaranteed.

The application provides an intelligent central control screen supporting artificial intelligence detection analysis algorithm, comprising: a data acquisition module, which is used for continuously collecting multi-category business data in an application scenario; a data transmission module, which is used for transmitting the obtained multi-category business data to an artificial intelligence analysis module; the artificial intelligence analysis module, which is used for automatically recognizing and matching the multi-category business data based on a multi-dimensional artificial intelligence detection analysis algorithm, and performing strategy analysis on the business data of the corresponding category based on the automatic recognition and matching result; a decision module, which is used for performing business coordination and association on the strategy analysis result in the application scenario, and performing decision analysis based on the business coordination and association result; and a control module, which is used for performing control operation on the equipment corresponding to each category of business based on the decision analysis result. The reliability and accuracy of the analysis on different categories of business data are ensured, and the intelligent level and processing efficiency of the intelligent central control screen are improved.

The invention relates to the technical field of intelligent decision making, can be applied to business system platforms of financial science and technology, medical health and the like, and discloses a motorcade business value processing strategy analysis method, device, equipment and medium, and the method comprises the steps: obtaining multi-dimensional feature data of a target motorcade, and recognizing the incidence relation between features in the multi-dimensional feature data; performing cross modeling analysis on the association relationship to obtain a value association factor of the target motorcade; analyzing a value control index of the target motorcade according to the value correlation factor; clustering and layering the target motorcade according to the value control index to obtain motorcades of different levels, and identifying initial value levels of the motorcades of different levels; correcting the initial value level by using a preset business rule to obtain target value levels of motorcades of different levels; and generating business value processing strategies of the motorcades of different levels according to the target value level. According to the invention, the accuracy of motorcade business value processing strategy generation can be improved.

The application discloses a kind of remote monitoring cooperation systems based on intelligent networking, it is related to cooperative control technical field, including: protocol analysis uniformity module, the original protocol message uploaded by analysis heterogeneous terminal, generate standard event metadata;Arrange scheduling module, to the linkage execution sequence generated based on standard event metadata and policy library Injection execution token and issue action instruction, feedback exception along rollback edge trigger remedial sub-process;Parameter intelligent setting module, based on execution trajectory log generation running portrait, based on running portrait obtains policy parameter set;Intelligent cooperative processing module, according to policy parameter set execution digital signature verification, certificate rolling rotation, deterministic transmission control and video adaptive adjustment;The application realizes the automatic response and efficient control for the coupling of multiple types of events in intelligent networking remote monitoring scene by the organic combination of strategy analysis, arrangement scheduling, parameter intelligent setting and intelligent cooperative processing module.

The application provides a kind of visual construction management method and system, belong to construction management field.Therein, the method includes: the standardization processing of the multi-source laminated data in construction display area is carried out, and the standardization data structure is constructed;The laminated feature vector of standardization data structure is extracted;According to laminated feature vector, the conflict field calculation of any two laminated in construction display area is carried out, and the laminated conflict intensity distribution diagram is generated;The conflict field feature of laminated conflict intensity distribution diagram is extracted, and the conflict clustering output multiclass conflict level area is carried out;The differential fusion strategy analysis of multiclass conflict level area is carried out, and the multiclass visual fusion expression is obtained, according to multiclass visual fusion expression, visual output management is carried out in construction display area.The application carries out laminated conflict quantitative analysis and differential adaptive fusion, so that multi-source laminated data is clearly and accurately expressed in the same construction display area, and information conflict and expression distortion are eliminated.

The invention relates to the technical field of cloud computing, can be applied to business scenes of financial science and technology, medical health and the like, and discloses an application architecture resource optimization method, device, equipment and medium, and the method comprises the steps: obtaining operation data of a service component in an application architecture, and extracting load features to generate a load feature vector table; training and generating a load prediction model based on the load feature vector table, and initializing a scaling strategy set; acquiring real-time operation data, generating a scaling decision based on the real-time data and the scaling strategy set through the load prediction model, and forming a scaling instruction set; scheduling the infrastructure layer to execute the scalable instruction set to adjust the resource configuration; and analyzing the adjusted performance index and the resource utilization rate, generating a strategy analysis report, and updating the load prediction model and the scaling strategy set. According to the method, an adaptive optimization closed loop is constructed through load prediction and strategy feedback, real-time load-driven resource dynamic adjustment is realized, and the resource utilization rate and architecture flexibility are improved while the system performance is guaranteed.

The invention provides an access control authorization list generation method and system based on multi-dimensional strategy analysis. The method comprises the following steps: constructing a multi-level permission dimension model based on a main body dimension and a resource dimension; taking a relationship between a subject entity and a resource entity in the multi-level permission dimension model as a binding strategy to be stored in a strategy binding table; the binding strategy is analyzed into an atomic-scale personnel-equipment authorization list through a strategy calculation engine, and the analysis process comprises the following steps: a strategy expansion stage: analyzing the binding strategy of a related set entity into an initial atomic authority record of an atomic entity key; and in the strategy combination and conflict resolution stage, the initial atomic permission records are grouped according to personnel and equipment, permission conflicts are solved by applying a refusal priority rule, time window combination is performed on the permission records of the same type, and a final authorization list is generated. And updating the authorization list through a hybrid synchronization mode, and recording historical snapshots for auditing.

The invention discloses a data processing device, a chip, electronic equipment, a processor and a method, and relates to the technical field of electronics. The device comprises a scheduling module and a plurality of analysis paths. And the scheduling module is responsible for converting a compression strategy analysis task of the whole graphic element data set into a subtask allocated to a corresponding analysis path. And each analysis path can independently read the primitive data subset corresponding to the sub-task according to the received sub-task and generate a corresponding compression strategy. In the above scheme, under the condition that the scheduling module extracts the plurality of sub-tasks from the complete task, at least two sub-tasks in the plurality of sub-tasks are output to different analysis paths, and the different analysis paths can independently read data and process the data in parallel, so that under the condition that the total amount of read bandwidth is not changed, the data processing efficiency is improved. According to the scheme, the total amount of data supported to be processed by the analysis path in unit time is increased, so that the utilization rate of read bandwidth is improved.

The application discloses an estimation method for an attacker's estimation of patrol strategy switching time in an anti-environment, and belongs to the field of unmanned system patrol strategy analysis. The method comprises the following steps: the attacker continuously observes a patrol area, and records a state observation sequence of a patroller; time points in the sequence satisfying a sliding window condition are taken as candidate change point time points, observation subsequences before and after the window are extracted, and a local state transition matrix is estimated; a difference value of the matrix before and after each candidate change point time point is calculated, a difference signal sequence is constructed, the sequence presents a peak value at a state transition matrix switching position; an interval cost function based on a negative log-likelihood is defined; a global optimization objective function with a penalty term is introduced, an optimal change point time point set is solved by using a pruning accurate linear time dynamic programming framework; and intervals are divided according to the optimal change point set, and state transition matrices of each section are independently estimated. The application can automatically determine the position of the switching time point only by relying on the observation sequence, and provides support for the attacker to identify a patrol blind area.

This application relates to the field of interactive content playback, and in particular to a method and system for intelligent video content orchestration based on a multi-level rule engine. The method includes: acquiring a global broadcast time anchor point of a live channel and a multi-branch path dataset of interactive videos; based on this, performing real-time viewer progress tracking and estimated completion time analysis for each branch path to generate a viewer progress and time prediction information set; based on the viewer progress and time prediction information set, performing dynamic adjustment strategy analysis for flexible paths oriented towards the global time anchor point to generate a dynamic adjustment instruction set for controlling video content distribution; and based on the dynamic adjustment instruction set, performing personalized real-time video stream splicing and channel-level synchronous switching control to generate and output a channel broadcast stream synchronized with the global broadcast time anchor point. In the process of intelligent video content orchestration, this application reduces viewer experience interruptions or dissatisfaction through intelligent and flexible progress control, thereby improving viewing satisfaction.

The invention discloses an edge gateway service dynamic control system, which belongs to the technical field of edge gateways and comprises a cloud management platform and an edge end. The cloud management platform comprises a target analysis module; the edge end comprises a monitoring module, an edge analysis module and a control module; the target analysis module is used for carrying out real-time analysis on the control equipment to obtain edge analysis targets of the control equipment, carrying out strategy analysis according to the edge analysis targets to obtain target control strategies of the edge analysis targets, and sending the edge analysis targets and the target control strategies to the edge analysis module; the monitoring module is used for monitoring the control equipment in real time to obtain monitoring data; the edge analysis module is used for performing control analysis, analyzing the monitoring data according to a target control strategy and edge analysis targets, obtaining control information of each edge analysis target, and sending the control information to the control module; and the control module is used for controlling the control equipment according to the received control information.

The invention relates to the technical field of artificial intelligence, can be applied to business system platforms of financial science and technology, medical health and the like, and discloses a product service strategy analysis method, device, equipment and medium, and the method comprises the steps: recognizing a business stage corresponding to a target user according to an interaction record, and determining a service stage threshold value of the target user; identifying an interaction intention of the target user according to the multi-modal interaction features; identifying context data corresponding to the multi-modal interaction features, and analyzing an intention perception weight of the target user according to the interaction intention and the context data; performing parameter optimization on the local model, and adjusting service strategy parameters in the optimized local model according to the intention perception weight; and analyzing a product promotion index of the target user by using a local model corresponding to the adjusted service strategy parameter, generating a product decision instruction according to the service stage threshold and the product promotion index, and determining a service strategy of the target product according to the product decision instruction. And the accuracy of product service strategy analysis is improved.

The application relates to the technical field of asset identification, and discloses an asset identification management system for an instrument control system in the nuclear energy field, which comprises an asset detection module, an asset identification module, an asset list management module and an asset protection analysis module. The asset detection module is used for performing an asset detection task; the asset identification module is used for actively scanning various assets in a network or reversely analyzing data to identify asset information, and simultaneously supports manual input or batch import of asset information to supplement the part that may be missed in automatic collection; the asset list management module is used for establishing a list of the identified asset information, and can classify the assets according to attributes such as asset types and importance, so as to facilitate management and analysis; the asset protection analysis module is used for analyzing and determining asset protection priorities, and generating a safety report and proposing improvement suggestions according to strategy analysis; and the data reporting module is used for timely reporting the detected abnormal threats, and can send alarm logs, asset lists and the like to an external platform. The application provides technical support for efficient identification and management of complex instrument control systems in the nuclear energy field.

The application provides a mud pump sealing water volume self-adaptive optimization method and device based on multi-target dynamic trade-off, which comprises the following steps: multiphase flow simulation modeling and data generation, impeller gap identification and self-calibration, wear-yield characteristic modeling and identification, and optimal strategy analysis and output, and is suitable for parameter adjustment and operation control of the mud pump in dredging engineering. The application can effectively reduce the wear of the impeller gap of the mud pump and improve the working efficiency and service life of the mud pump.

The invention discloses an automatic data classification and verification system based on reinforcement learning, and relates to the field of data intelligence and reinforcement learning. The system comprises a semantic description module which generates a single-value description amount; the classification generation module outputs categories, confidence quantities and boundary distances; the difference construction module extracts a single value difference; the reward and punishment shaping module generates a reward and punishment amount; the strategy analysis module is used for generating three parameters, namely a re-detection condition, decision adjustment and sample extraction, and generating control parameters; and the verification assignment module selects a verification path to execute the record audit identifier. Multi-source verification evidences are unified into single-valued differences, stable reward and punishment shaping is carried out, three parameters of reinspection conditions, decision adjustment and sample extraction are generated by adopting analytic mapping, and controllability and traceability of the whole process are realized by combining path assignment of cost-gain tradeoff and chain auditing coding.