123 results about "Compliance analysis" patented technology

The invention discloses an AI generation content detection and review method, device and equipment and a storage medium, and the method comprises the steps: receiving multi-modal input data which comprises text data, image data and video data; calling a large language model to carry out compliance analysis on the text data to obtain an analysis result; when the analysis result is compliance, calling a multi-modal model to identify and detect the image data and the video data, and respectively obtaining an image detection result and a video detection result; and aggregating the analysis result, the image detection result and the video detection result to obtain a content detection result. According to the method, the processing paths are automatically allocated according to the content types, redundant calculation is avoided, hardware consumption is remarkably reduced, the multi-modal detection results are aggregated into structured output, the large-batch content processing efficiency is remarkably improved, calculation resource occupation is greatly reduced, and seamless integration of the detection results and a downstream service system is achieved.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes of financial science and technology, medical treatment and health and the like, and discloses a violation content auditing method, device and equipment based on multi-modal data and a medium. Inputting the visual semantic features and the composite audio features into a multi-modal model, generating fusion features through model alignment and fusion, and analyzing the fusion features based on a knowledge base to judge whether illegal content fragments exist in the multi-modal data, and when the illegal content fragments exist, positioning the illegal content fragments in the multi-modal data and generating an auditing report. According to the method, the visual semantic features and the composite audio features are fused, cross-modal compliance analysis is realized in combination with the knowledge base, frame-level or time-axis-level positioning is performed on the illegal content segments, and the auditing report containing the evidence is generated, so that the problems of insufficient single-modal detection accuracy and poor positioning capability are solved, and the auditing accuracy is improved.

The invention relates to the technical field of operation and maintenance safety compliance, and discloses an operation and maintenance service automation safety compliance detection system and method. The system comprises an operation and maintenance event acquisition unit, a strategy execution unit, a compliance analysis unit, a strategy optimization unit and a violation tracing unit. The operation and maintenance event acquisition unit captures operation and maintenance operation events and execution environment parameters in real time, packages the operation and maintenance operation events and the execution environment parameters into event data packets and transmits the event data packets to the strategy execution unit; the strategy execution unit extracts a reference strategy rule from the security strategy library, performs matching verification on the event and generates a result; the compliance analysis unit analyzes compliance fluctuation characteristics through a multi-dimensional compliance deviation model in combination with historical records; the strategy optimization unit dynamically adjusts the event capture frequency and corrects a strategy matching rule according to the fluctuation characteristics; the violation tracing unit counts the risk cumulant and generates a violation tracing instruction when the risk cumulant exceeds a preset capacity. According to the system, automation and dynamic adjustment of operation and maintenance safety compliance detection are realized, and a risk accumulation process can be effectively tracked.

The embodiment of the invention discloses a method for intelligently assisting in reviewing a water conservation scheme of a water and soil conservation production and construction project, and the method achieves the intelligent feature matching of a new scheme and similar cases through the construction of a tagged knowledge base integrating historical cases of multiple industries, so as to recognize the generality compliance. A double-engine review mechanism is adopted, a form review module automatically checks document structure integrity and format specifications, and a logic review module executes cross-chapter data consistency check and business logic compliance analysis and highlights and positions error positions in a document. And recording decision logic in real time to form a feedback closed loop. And dynamically optimizing case library matching weight and recognition rules based on high-frequency error statistics and expert correction records. The modes of positioning review key points to chapters and sections, describing specific requirements of each review key point in a language, adding a check formula among data to review content needing to be calculated, determining a check type to which each review key point belongs, and the like are adopted, and the model is trained more clearly, so that the model has relatively professional review ability.

The invention discloses a highway engineering construction remote material abnormity management method, which relates to the technical field of material management, and comprises the following steps: collecting material information parameters for analysis, obtaining an analysis result and carrying out abnormity identification, outputting an abnormity identification result, triggering a response mechanism for the abnormity identification result, and carrying out automatic early warning. By constructing a full-process digital highway engineering construction remote material anomaly management system, the problems of multiple types of traditional management are solved, multi-source data are integrated to automatically correct errors and generate accurate data, and the material anomaly management system is established by means of space-time dimension cross validation and construction process compliance analysis. A preset abnormal feature combination library is combined to capture a composite risk, a hierarchical response and a mapping table are adopted to realize differential early warning, responsibility is clarified through receiving verification and block chain evidence storage, and a closed loop is formed by combining treatment with template optimization and dual verification, so that the risk is reduced, and the management intelligence and refinement level is improved.

The invention discloses a big data governance method and system based on a rule engine, belongs to the technical field of big data processing, and aims to solve the technical problems of low efficiency, slow response and rule stiffness in the current data governance process. Comprising a data access layer used for collecting data from each data source; the metadata management module is used for constructing a knowledge graph based on the metadata; the rule engine module is used for constructing a rule base; the data quality evaluation module is used for analyzing and evaluating the multi-source heterogeneous data based on the rule base; the authority control and compliance auditing module is used for performing authority control and performing compliance analysis on data operation through a preset compliance scale board based on an auditing log; the governance engine module is used for carrying out governance operation on the multi-source heterogeneous data based on the data quality analysis result to form a data governance execution result; and the feedback optimization module is used for optimizing the AI large model based on the data governance execution result.

The invention relates to a power grid multi-modal data compliance monitoring method based on a knowledge graph, and the method comprises the following steps: S1, obtaining multi-source heterogeneous data of a power grid, carrying out the preprocessing, and generating structured and semantic data representation; s2, constructing an initial knowledge graph according to the produced structured and semantic data representation; s3, according to the initial knowledge graph, combining a time perception mechanism TGN to identify compliance standards and laws of a power grid operation environment changing with time, combining rule-based logical reasoning with a deep neural model through neural symbol fusion, realizing compliance judgment under a fuzzy condition, and constructing a knowledge agent; s4, based on the knowledge agent, performing multi-modal compliance analysis in combination with deep learning and symbolic reasoning to obtain an analysis result; and S5, based on an analysis result, in combination with a natural language generation technology, automatically generating an interpretation report for the violation event. According to the invention, dynamic intelligent compliance analysis is realized, and the intelligent and automatic level of power grid management is significantly improved.

The invention discloses a BIM model automatic examination method and system based on visual large model image analysis and standard knowledge base coupling. The scheme comprises the following steps of training data collection and labeling, professional image review model training, review roaming path definition, profile image acquisition and processing, image compliance analysis, standard knowledge base matching, optimization suggestion generation and report output. By training an image review model in a professional field and combining with a dynamic specification knowledge base, detail problems which are difficult to find by a traditional method in a BIM model can be automatically recognized, optimization suggestions are provided by matching with real-time updated building specifications, a full-closed-loop review process from image analysis to specification verification is realized, review efficiency and accuracy are remarkably improved, and the review efficiency and accuracy are improved. And labor dependence is reduced.

The invention discloses a common data platform compliance early warning system based on legal risk indicators, which belongs to the technical field of compliance management, and specifically comprises the following steps: a request analysis module receives a data processing request containing a data subject identifier, a processing purpose and a timestamp; the feature extraction module obtains dynamic authorization features such as a historical authorization range sequence and recent change records; the compliance analysis module generates legal risk indexes based on the legal rule base; the decision fusion module generates a compliance early warning decision through multi-dimensional fusion calculation; the execution control module realizes complete release, condition limitation or complete blocking according to the decision; the traceability recording module constructs a complete decision traceability record; according to the invention, through dynamic authorization analysis, multi-level law matching and intelligent decision fusion, accurate early warning and effective management and control of the compliance risk of the public data platform are realized.

The invention provides a work fund compliance auditing method and system based on a big language model, and relates to the technical field of compliance auditing, the method comprises the following steps: extracting an unstructured text, and using the big language model to carry out data cleaning, privacy desensitization and standardization processing; based on a large language model and a retrieval enhancement generation technology, constructing a work fund compliance knowledge graph, performing deep auditing analysis on standardized data, and identifying income and expenditure anomalies, asset vulnerabilities and compliance risks; building a compliance rule base by using a large language model, and performing automatic compliance judgment; generating a differentiated improvement suggestion, a rectification path and an audit report first draft, and continuously optimizing a model and a rule; the system comprises a multi-source data acquisition and preprocessing module, a deep audit analysis module, a compliance analysis module, a decision support and report generation module, and a learning and optimization module. According to the invention, through automation and intelligentization of the work fund auditing process, the auditing efficiency, the auditing accuracy and the self-adaptive capability are remarkably improved.

Systems and methods for analyzing compliance of an online service with pre-established regulations or standards are provided herein. In one example, a method includes a step of receiving a request to perform a compliance analysis on a cloud-based service to determine whether the cloud-based service complies with multiple compliance standards applicable to an environment in which the cloud-based service is intended to operate. The method further includes a step of collecting compliance controls associated with each of the multiple compliance standards. Also, the method includes a step of automatically organizing the compliance controls to reduce the number of assessment steps. The method further includes a step of enabling implementation of one or more assessment stages using the reduced number of assessment steps to determine whether the cloud-based service complies with the multiple compliance standards.

The invention discloses an electric power monitoring credible security operation and maintenance cooperation method, system and device based on a block chain, and a storage medium, and relates to the technical field of electric power monitoring, and the method comprises the steps: obtaining sensing data of an electric power monitoring terminal side, and carrying out the signature; in combination with the operation and maintenance instruction, block chain consensus storage and verification of the data and the instruction are carried out, the data and the instruction passing verification are stored in a sensing data chain and an operation and maintenance operation chain of the block chain, and verification evidence is provided; acquiring a node historical behavior data set, and performing dynamic trust value calculation and permission allocation; performing operation and maintenance instruction compliance analysis and response in combination with a preset electric power safety regulation logic library, and generating a defense strategy set in combination with the attack feature library; the method guarantees the authenticity and integrity of data, and eliminates the forgery risk. The compliance verification time consumption is reduced from the hour level to the millisecond level, the cross-department cooperation efficiency is improved, and the single-point fault and APT attack risk is reduced; the manual auditing amount can be reduced, the accident root cause can be quickly positioned, and the tracing requirement is met.

The invention relates to a technology comparative analysis system and method based on standard semantic analysis and a computer readable recording medium. According to the system, dimension reduction processing is carried out on process data and standard texts through a semantic clustering module, and a semantic mapping relation between processes and standard terms is constructed; generating a contrast set by using a process operation standard threshold construction module and a convolutional network; and calculating a compliance score by adopting a contrast learning module. The system supports dynamic updating of a multi-dimensional standard knowledge graph, analyzes texts and recognizes semantic equivalent pairs through a natural language processing technology, achieves intelligent comparison and deviation recognition of process data and standard rules, automatically generates compliance reports and early warning information, and finally achieves digital management of enterprise standard full life cycles. And automation and accuracy of compliance analysis are improved.

The invention relates to the technical field of computer vision, and discloses a data center operation and maintenance behavior compliance analysis method and system based on a camera, and the method comprises the steps: analyzing an action feature type in an operation and maintenance operation action image, so as to determine an abnormal behavior judgment threshold value of an operation and maintenance behavior; calculating an operation and maintenance compliance score of the operation and maintenance behavior; analyzing the operation coherence and the permission mapping goodness of fit of the operation and maintenance personnel to calculate the compliance correlation degree of the operation and maintenance behaviors during compliance check; determining a compliance checking process corresponding to the operation and maintenance behavior, and analyzing a data center equipment operation period constraint in a current execution scene of the operation and maintenance behavior to calculate a compliance adaptation coefficient of the operation and maintenance behavior and equipment operation requirements in the compliance checking process; and executing compliance analysis on the operation and maintenance behaviors to obtain a compliance analysis result. According to the method, the camera-based data center operation and maintenance behavior compliance analysis accuracy can be improved.

The invention relates to the technical field of electrical operation supervision, in particular to a power operation order compliance automatic identification system and method. The power operation ticket compliance automatic identification system comprises a data import module which is used for receiving and analyzing structured operation ticket text data and associating and importing a video file of a corresponding operation execution process; the multi-modal data processing module comprises a voice recognition unit and a video analysis unit; the compliance analysis module is used for comparing and analyzing the output results of the voice recognition unit and the video analysis unit with the operation ticket text data and judging the compliance of the operation process; and the report generation module is used for generating a structured compliance review report. Through cooperative work of the multi-modal data processing module and the compliance analysis module, automatic analysis of an operation order execution process is realized, the problems of missed judgment and misjudgment caused by subjective factors are avoided, and objectivity and fairness of an examination result are ensured.

The invention relates to the technical field of computers, and particularly discloses a security product self-evaluation report intelligent auditing method based on artificial intelligence assistance, and the method comprises the steps: analyzing a self-evaluation report to generate structured detection item data; carrying out multi-modal feature extraction and fusion on the text and image proof materials; semantic conflicts, configuration compliance, evidence credibility, image-text consistency and historical risk matching degree are analyzed in parallel through an artificial neural network, a support vector machine, a random forest, logistic regression and a weighted neighbor algorithm; according to a preset weight, dynamically fusing results of all dimensions to determine a compliance probability; similar historical cases are retrieved in combination with a security product compliance analysis knowledge graph, and auditing instructions and improvement suggestions with violation positioning bases are generated; and finally, outputting a structured auditing report and supporting continuous optimization of a manual reexamination feedback driving model. According to the method, high-precision, full-dimension and automatic security product self-evaluation report auditing can be realized, and the auditing efficiency, objectivity and large-scale processing capability are remarkably improved.

The embodiment of the invention discloses a UVM-based UFCS protocol verification IP system and method, and the system comprises a UVM protocol driving unit which is used for generating UFCS protocol verification excitation and comprises a Baud rate training controller and a protocol wrapper; the UVM protocol analysis unit is used for verifying the UFCS protocol message received from the equipment to be tested and comprises a version self-adaptive decoder and a verification engine; the UVM intelligent monitoring unit is used for monitoring a protocol interaction process and performing compliance analysis, and comprises a violation detector and a coverage rate statistical model; and the UVM reusable test library is used for providing a standardized test sequence and an industrial standard test scene for the to-be-tested equipment and adjusting the test grade and the test content in response to a test adjustment instruction received by the configuration interface. According to the embodiment of the invention, the technical problems of insufficient compatibility verification, limited abnormal scene coverage, low verification efficiency and the like in UFCS protocol verification can be solved, full-stack verification from a physical layer to a protocol layer is realized, and the efficiency and reliability of UFCS protocol verification are improved.

The invention relates to the technical field of intelligent identification, in particular to a privacy compliance detection method, device and equipment for a vehicle-mounted application, a medium and a product, and the method comprises the following steps: judging whether a to-be-detected application is received or not; if the to-be-detected application is received, reverse analysis is carried out on the to-be-detected application, a to-be-detected file is extracted from an analysis result, the to-be-detected file is input into a pre-trained large model, a compliance analysis result of the to-be-detected file is obtained, and the pre-trained large model is obtained by training a preset deep learning network through a data set; and generating a privacy compliance detection report according to a compliance analysis result, thereby solving the problems of low detection precision, limited coverage, incapability of detecting implicit permission and the like in the privacy compliance detection in the prior art, and improving the comprehensiveness and accuracy of the privacy compliance detection of the vehicle-mounted application.

The invention relates to an intelligent medication monitoring system and management method for community medical treatment, and belongs to the technical field of medication monitoring, the intelligent medication monitoring system comprises an intelligent terminal layer, a data processing layer and a service application layer, the intelligent terminal layer comprises an Internet of Things medicine box, a behavior monitoring terminal, a portable medicine scanner, a home terminal APP and a doctor alarm terminal, the data processing layer comprises a cloud knowledge graph server, a multi-source data fusion engine and a pharmacy cooperation interface, and the service application layer comprises a compliance analysis module, a grading alarm center, a pharmacy PDA and an intelligent medicine shelf. A traditional medicine box only provides time reminding, the actual medicine taking behavior and dosage accuracy cannot be confirmed, medicine in different time periods is physically isolated by rotating a medicine bin in a time-sharing mode, the tablet reduction amount is quantified through a weighing sensor, the dosage insufficiency is recognized, the hand movement track is tracked and captured through fusion of a millimeter wave radar and an RGB-D camera, and the swallowing action is verified; and the supervision blind area of'not taking medicine after reminding 'is avoided.

Various systems and methods for analyzing business compliance are described herein. An electronic online system is configured to receive, from a user of the electronic online system, an indication of a law for analysis; parse the law to produce law chunks; receive, from the user, an indication of a business policy for analysis; parse the business policy to produce policy chunks; compare the law chunks with the policy chunks to determine similarity scores for respective pairs of law chunks and policy chunks; and present law chunks that have similarity scores less than a threshold similarity score to the user.

The invention relates to the technical field of machine room safety control, and particularly discloses a hospital machine room safety compliance control platform and method based on integrated management, and the system integrates three core modules: a heat dissipation safety compliance analysis module, a heat dissipation safety management module and a heat dissipation parameter pre-control module. The heat dissipation safety compliance analysis module constructs a thermal management atlas by collecting thermal imaging data and operation parameters, accurately analyzes the heat dissipation safety compliance degree, effectively prevents the overheating risk of a machine room, and guarantees the stable operation of equipment. The heat dissipation safety management module integrates the refrigeration equipment parameters and the heat dissipation safety compliance degree, timely identifies and processes heat dissipation abnormity and improves the heat dissipation efficiency of the machine room, and the heat dissipation parameter pre-control module predicts the heat dissipation safety trend in advance and pre-adjusts the refrigeration equipment heat dissipation parameters, so that energy conservation and consumption reduction are achieved, and meanwhile the heat dissipation efficiency of the machine room is improved. And through intelligent management, the heat dissipation safety compliance and the energy efficiency ratio of the hospital machine room are remarkably improved.

The application relates to the technical field of data security processing, and discloses a safe interaction analysis processing system for cross-department supervision collaborative data, which comprises a strategy fingerprint generation module, an access authorization issuing module, a data compliance packaging module, a security verification loading module, a joint accounting analysis module and a result output auditing module.The strategy fingerprint generation module is used for generating a strategy fingerprint based on task information; the access authorization issuing module is used for performing attribute authorization and issuing a bill according to the strategy fingerprint and a user identity; the data compliance packaging module is used for generating a compliance view according to the strategy fingerprint and performing deterministic desensitization and encryption packaging; the security verification loading module is used for verifying the consistency of a packaging bag and loading the packaging bag into a temporary session library to generate a session fingerprint; the joint accounting analysis module is used for performing deterministic joint accounting and early warning determination; and the result output auditing module is used for clipping an accounting result and generating an auditable proof bag.The early warning distribution monitoring module is used for pushing early warning information and monitoring a task execution state.The application realizes trusted interaction, compliance analysis and traceable management of cross-department supervision data under the condition of scattered storage.

The application discloses a kind of highway engineering construction remote material abnormal management method, it is related to material management technical field, including the following steps: acquisition material information parameter is analyzed, obtains analysis result and carries out abnormal identification, exports abnormal identification result, triggers response mechanism to abnormal identification result, carries out automatic early warning, and provides corresponding disposal scheme to carry out abnormal processing, exports processing result and records, by constructing whole-process digital highway engineering construction remote material abnormal management system, solve traditional management multiple problems, integrate multi-source data automatic error correction and generate accurate data, with the help of spatiotemporal dimension cross validation and construction process compliance analysis, combined with preset abnormal feature combination library captures complex risk, adopts hierarchical response and mapping table to realize differentiated early warning, through the use check and block chain storage certificate to ensure responsibility, disposal combines template optimization and double verification to form closed loop, reduce risk, improve management intelligent and fine level.

The application belongs to the field of CAE engineering simulation and electrical interconnection system engineering technology, and particularly relates to a wire harness whole-process motion simulation method based on CATIA, which comprises the following steps: 1) constructing a motion mechanism simulation model; 2) defining main attributes affecting wire harness motion; 3) establishing a wire harness simulation model; 4) simulating the wire harness on the motion mechanism based on the wire harness simulation model, and updating the wire harness simulation model in real time, while selecting the most extreme state section at each time form of the motion wire harness section to perform compliance analysis; 5) if the compliance analysis is passed, each time picture containing the wire harness simulation model is output, and the screenshot under a fixed view angle is regenerated into a video through video synthesis software, and if the compliance analysis is not passed, the step 2) is returned. The application is suitable for relatively complex motion, and can more intuitively output analysis results of length, form, bending degree, stretching and stress concentration points of the wire harness in the motion process.

The invention relates to the technical field of artificial intelligence, in particular to a customer service reply method and system of a multi-modal fusion architecture and a storage medium, and the method comprises the following steps: obtaining initial input data of a user, preprocessing the initial input data, and generating a standard data source; performing decision compliance analysis on the standard data source to generate a decision judgment result; and generating a corresponding decision scheme according to the decision judgment result. According to the invention, through a space-semantic double-constraint graph network, the technical defects of fragmentation and low standardization degree of multi-modal data identification by traditional intelligent customer service are effectively solved, and the problem of insufficient adaptation of a general identification technology to a government affair format is overcome; in a semantic constraint dimension, spatial features and a government and enterprise professional semantic dictionary are deeply fused based on a node association mechanism of a graph network, conversion from multi-modal data to structured policy elements is automatically completed, and the recognition accuracy is improved by more than 40% compared with that of a traditional NLP technology.

The invention discloses an Internet of Vehicles TSP-oriented compliance intelligent auditing system, and the system comprises a data collection and auditing unit which is used for automatically collecting Internet of Vehicles data, carrying out compliance analysis, and generating an auditing report; the quality event and AI analysis unit is used for carrying out intelligent classification, root cause analysis and anomaly detection, classifying problems and triggering a rectification process; the closed-loop control and execution unit is used for performing automatic task allocation and processing tracking and automatically executing a repair script or task; and the SLA statistics and alarm unit is used for automatically generating a service level agreement statistics report, adjusting an alarm strategy according to real-time monitoring data, and ensuring that an abnormal condition is responded in time. According to the method, full-automatic compliance auditing, problem diagnosis, processing and rectification in the operation and maintenance process of the Internet of Vehicles TSP are realized, the operation and maintenance efficiency is effectively improved, and compliance requirements of the IATF 16949 standard are ensured to be met.

The invention discloses a file compliance judgment method and a related device, and the method comprises the steps: introducing a multi-modal compliance large model, carrying out the unified analysis and comparison of an external specification file and an internal specification file, bringing a text, a logic structure and an image element into a same analysis framework, and achieving the systematic judgment of the file compliance. According to the method, a structured compliance rule set and a compliance knowledge graph are constructed, and gap identification and quantitative evaluation are carried out in combination with a gap analysis large model, so that compliance analysis is converted into automatic, structured and quantifiable processing from traditional manual comparison, the comprehensiveness, accuracy and efficiency of compliance review are remarkably improved, and risks caused by manual understanding deviation are reduced.

The invention discloses a supervision personnel on-site positioning and behavior compliance analysis method and system based on UWB and IMU fusion, and relates to the technical field of engineering management and intelligent sensing, and the method comprises the steps: collecting positioning, movement, myoelectricity and touch data through a multi-mode wearable device, fusing the UWB and IMU data through an error state Kalman filtering tight coupling algorithm, and carrying out the recognition of the UWB and IMU data through the UWB and IMU fusion. A filter noise covariance matrix is dynamically adjusted in combination with a lightweight NLOS recognition network, robust positioning is achieved, spatial postures, hand motion units and head-sight line features are extracted to construct micro-action vectors, and a TP-LSTM-CRF model is input to generate a time-position-action semantic behavior flow; a standard operation process digital twinborn model is established, behavior flow detection position omission and action violation are dynamically matched, operation quality is deduced in combination with action parameters, and finally results are integrated to generate a visual report containing a positioning track, a compliance rate and rectification suggestions.

The application discloses a kind of document compliance decision method, system and equipment, comprising: obtaining heterogeneous policy data in multi-source knowledge base, text segmentation is carried out to the heterogeneous policy data, obtain a plurality of semantic block fragments, and index construction is carried out based on the semantic block fragment, corresponding vector index is generated;Based on the vector index, the received marketing document under review is carried out in the semantic block fragment using ColBERT retrieval model and metadata filtering mechanism fusion retrieval, obtain the highest correlation target compliance basis fragment;The target compliance basis fragment and the marketing document under review are input into the preset expert decision model to carry out compliance analysis, generate the compliance analysis result including risk classification result and modification suggestion.It can improve the efficiency and quality of examination, ensure the compliance of marketing document.

The invention relates to an automatic inspection method and device for random constraint, and the method comprises the steps: operating a Python collection script, collecting a parameter name and a corresponding random value in real time in a random case regression process, arranging data into a two-dimensional table to generate a parameter data table, and storing the parameter data table into a relational database; reconstructing a parameter data table in the relational database; reading data of the reconstructed parameter data table, identifying a constraint type, and matching a corresponding analysis method according to the identified constraint type; respectively analyzing the constraints of different constraint types according to the matched analysis method, and outputting a constraint conformity analysis result; and performing anomaly detection on the data of the parameter data table by adopting a constraint verification mechanism to obtain an anomaly detection result. According to the invention, the controllability and reliability of the verification process can be improved.