22 results about "Compliance analysis" patented technology

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 specification discloses a file compliance judgment method and related devices, wherein the method introduces a multi-modal compliance large model to uniformly analyze and compare external rules files and internal rules files, integrates text, logical structure and image elements into the same analysis framework, and realizes systematic judgment on file compliance. By constructing a structured compliance rule set and a compliance knowledge graph, and combining a gap analysis large model to identify and quantitatively evaluate the gap, the compliance analysis is changed from traditional manual comparison to automatic, structured and quantifiable processing, which significantly improves the comprehensiveness, accuracy and efficiency of compliance review, and reduces the risk caused by human understanding bias.

This invention relates to the field of pollutant detection technology, and more particularly to a pollutant detection method and system based on an environmental consulting knowledge base. The method includes: receiving basic information about the project to be tested, inputting it into a pre-built environmental consulting knowledge base for matching, and outputting a preliminary detection plan; generating a final detection plan after verification using historical cases; performing on-site sampling and in-situ testing, linking the knowledge base to complete real-time quality control early warning and on-site calibration, and obtaining a calibrated in-situ detection dataset; performing laboratory testing on environmental samples and performing three-level calibration to obtain a valid pollutant detection dataset; performing compliance analysis on the valid detection data, and outputting the detection results. This invention effectively solves the core problems of fragmented processes and lack of unified knowledge support in existing detection technologies, overcomes the shortcomings of manual reliance, insufficient quality control and calibration, low data accuracy, and poor analysis efficiency, and achieves intelligent standardization of the entire detection process, significantly improving detection efficiency and data accuracy.

The present disclosure relates to the technical field of data evaluation, and provides a supply chain business file evaluation method and device, electronic equipment and storage medium. The method comprises: performing multi-modal information extraction processing on a supply chain business file to be evaluated to obtain structured text, structured data and image feature information; performing multi-dimensional compliance analysis processing on the three to obtain a clause completeness evaluation value, a contract risk evaluation value, a technical parameter clarity evaluation value and a graphic-text consistency evaluation value; performing weighted quantification processing on the clause completeness evaluation value, the contract risk evaluation value, the technical parameter clarity evaluation value and the graphic-text consistency evaluation value based on a preset weight value to obtain a target evaluation value; and performing evaluation suggestion generation processing based on the target evaluation value and a preset evaluation threshold to obtain an evaluation suggestion text, thereby enhancing the forward-looking and accuracy of risk identification, improving the objectivity and traceability of the evaluation result, and enhancing the consistency of multi-modal information processing.

This invention discloses a data compliance dynamic detection method and system based on deep learning, belonging to the field of data security processing technology. It addresses the problem that existing methods, which focus primarily on text data processing when performing compliance detection based on extracted comprehensive semantic words, lack the ability to comprehensively process multimodal data and comprehensively evaluate complex compliance issues, leading to inaccurate compliance assessments. The method includes preprocessing the original data stream, extracting features from the preprocessed data stream based on data stream type, and using a compliance analysis model to identify and analyze multimodal feature sets based on a standard rule base. In this invention, preprocessing the original data stream filters and reduces noise in the multimodal data, ensuring the authenticity and validity of the data. Furthermore, the compliance analysis model's identification and analysis of multimodal feature sets ensures comprehensive processing capabilities for multimodal data and comprehensive evaluation capabilities for complex compliance issues.

This invention provides a rapid analysis method for large-scale land space compliance review, comprising the following steps: receiving a compliance review task submitted by a user, the review task including the review scope geometry, target planning layer, and review rules; calculating the area of ​​the bounding rectangle (AreaEnvelope) and the area of ​​the geometric shape (Area) within the review scope geometry; if both AreaEnvelope and Area are present, it is determined to be a small-scale review, and the traditional single-step compliance analysis process is executed; otherwise, it is determined to be a large-scale review, triggering a parallel optimization process; performing balanced region division for large-scale reviews, including initial seed point generation, Voronoi diagram construction and pruning, and iterative optimization steps; performing parallel compliance analysis and generating a review report. This invention transforms a single long-duration calculation into multiple short-duration parallel calculations, reducing the review time from minutes / hours to seconds, meeting the needs of real-time review.

The application 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, the method comprises the following steps: obtaining initial input data of a user, preprocessing the initial input data to generate 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. Through a space-semantic double-constraint graph network, the application effectively solves the technical defects of fragmentation of multi-modal data recognition and low standardization degree of traditional intelligent customer service, overcomes the problem of insufficient adaptation of general recognition technology to government affairs formats, in the semantic constraint dimension, relying on the node association mechanism of the graph network, the spatial features are deeply fused with the government and enterprise professional semantic dictionary, the conversion of multi-modal data to structured policy elements is automatically completed, and the recognition accuracy is improved by more than 40% compared with traditional NLP technology.

The application discloses a wiring rule analysis system for a distribution box, and relates to the technical field of power system automation.The system comprises a multi-modal data acquisition module, a structured scene reconstruction module, a rule knowledge graph module, a multi-dimensional compliance analysis engine, and a dynamic risk assessment and report generation module.A structured three-dimensional model with semantics and topology is constructed through multi-source data fusion, and a rule knowledge graph with logical association is used to perform systematic compliance analysis from the geometric, electrical logic and process dimensions, and finally generate a quantitative risk assessment and a visual report.The application aims to solve the problems of inaccurate wiring space relationship analysis and incomplete rule analysis in the prior art, realizes all-round and intelligent analysis and evaluation of the wiring state of the distribution box, and improves the analysis accuracy, efficiency and operation safety.

This invention relates to the field of multi-source data fusion and intelligent analysis technology, specifically a method for compliance analysis of beach area land use control based on multi-source data. The method includes: collecting data from multiple sources such as remote sensing images, GIS data, approval records, sensor monitoring data, and public opinion texts; introducing credibility calibration and spatiotemporal synchronization alignment to form a standardized beach area basic dataset; constructing a multi-dimensional correlation model of spatial morphology, behavioral disturbances, approval constraints, and temporal evolution characteristics to generate a unified land use feature vector; intelligently matching beach area land use characteristics with control rules; obtaining a comprehensive compliance score through multi-dimensional weighted fusion; identifying violation types and quantifying risk levels; predicting potential violation trends; triggering a three-level early warning based on anomaly detection; dynamically allocating management resources and generating hierarchical control strategies to achieve closed-loop optimization. This invention realizes intelligent dynamic compliance analysis of beach area land use control.

This application provides a method, apparatus, device, storage medium, and program product for decision compliance review, which can be applied to the fields of big data and artificial intelligence, involving the application of large models in fintech scenarios. The method includes: acquiring decision information to be reviewed, including a decision time point; retrieving a set of regulatory clauses that are in effect at the decision time point from a temporal knowledge graph based on the decision time point, wherein the nodes in the temporal knowledge graph are obtained based on regulatory clauses in regulatory documents and the corresponding regulatory validity status information; calculating the similarity between the decision information to be reviewed and each regulatory clause in the set of regulatory clauses; based on the similarity, selecting a subset of regulatory clauses related to the decision information to be reviewed from the set of regulatory clauses; and using a pre-trained large model to perform compliance analysis on the decision information to be reviewed based on the subset of regulatory clauses, and outputting the compliance review results.

This invention provides a method, apparatus, and electronic equipment for analyzing water quality compliance in tidal river networks, relating to the field of water environment data processing technology. It divides the target area into multiple independent sub-regions based on hydrodynamic characteristics and topographic structure. Then, combining the pollution load structure entering the river, it determines the baseline pollution carrying capacity of each sub-region during the slack tide period. Furthermore, using tidal rhythm as the core, it quantifies the bidirectional mass flux between sub-regions under the tidal rhythm, and determines the effective environmental capacity value for each. This allows for precise capture of the dynamic impact of tidal reciprocating flow on pollutant migration and diffusion, achieving a refined characterization of the hydrological-hydrodynamic-water quality coupling process. Furthermore, it constructs an environmental capacity map, which can intuitively present the spatiotemporal dynamic distribution of capacity, completely breaking through the limitations of traditional static capacity calculation. Water quality compliance analysis based on the map can provide precise spatiotemporal implementation guidance for treatment projects, avoiding one-size-fits-all treatment and significantly improving the effectiveness of engineering applications.

The application discloses an Android APP automatic compliance detection method based on intelligent program analysis. The application comprises the following steps: firstly, using a Chinese named entity model to extract the privacy content collected by the APP privacy policy declaration; then deploying a dynamic test environment to automatically test the target APP, capture the actual privacy content data of the APP in real time, and perform image recognition through an OCR method and a multi-classification model; finally, analyzing the actual privacy content of the APP and the privacy content of the privacy policy declaration, and comparing the actual privacy content of the APP, to analyze the actual violation items of the APP. The application can realize compliance analysis on user interaction privacy content, so as to standardize the APP behavior and protect the privacy safety of Android APP users.

The present application relates to the technical field of operation analysis and management through cloud computing after the commercialization of service commodities in the telecommunication industry, in particular to a method and system for analyzing the health degree of telecommunication virtual commodities based on big data, comprising the following steps: S1, establishing a tariff level basic model, extracting data from each center of the telecommunication system through a big data platform at regular time, wherein the tariff level basic model comprises a service value basic index model, a service compliance analysis index model and a service analysis index model; the method automatically extracts configuration, transaction, log and complaint data from multiple centers such as sales, customers, orders and auditing through the big data platform, breaking the traditional data silos. It builds a complete analysis chain from the basic index to the converged intermediate model, and objectively determines the index weight by using the entropy method, and finally automatically outputs the health degree comprehensive score and analysis report.

This invention discloses a blockchain-based computer information security supervision system, relating to the field of security supervision technology. It collects security status data of supervised nodes through a security status acquisition module and generates a security status summary. A security status verification module verifies the remote proof report corresponding to the security status summary to confirm the credibility of the node's operating environment. A compliance analysis module, upon successful remote proof verification, invokes a smart contract in the blockchain network to execute compliance detection logic, using the hash value of the security status summary in the remote proof report as a smart contract execution parameter for verification, thereby generating corresponding compliance analysis results. A supervision transaction generation module generates supervision transaction data based on the compliance analysis results, and a blockchain notarization module writes the supervision transaction records into the blockchain. This structure enhances the automation level of information security supervision and improves the credibility and traceability of supervision data.

The application discloses a three-dimensional design model compliance analysis method and system based on a large language model, comprising the following steps: obtaining three-dimensional design model related data and design specification constraint conditions, and building a data interaction channel through a collaborative review platform; calling a semantic geometry collaborative verification algorithm to process data and extract characteristic parameters; generating a rule adaptation weight matrix through a spatial rule learning adaptation model; constructing a mapping relationship between a characteristic vector and a design specification through a CAD point cloud characteristic coding mapping model; performing multidimensional compliance verification based on the foregoing results; and outputting comprehensive analysis data sets. Through multi-unit collaborative linkage, the system integrates algorithms and platform functions, realizes deep collaborative processing of three-dimensional design model geometry and semantic data, improves the accuracy of rule adaptation and characteristic mapping, comprehensively covers the compliance verification dimensions, and meets the high-precision analysis requirements in complex scenarios.

The application discloses a multi-element project EIA (environmental impact assessment) approval system based on ecological environment zoning management and control, and relates to the technical field of project environmental impact assessment.The system comprises a project information input module, a project basic information extraction module, a rule base, a research and judgment analysis module and a project approval result output module.The research and judgment analysis module comprises a multi-element coupling analysis module, an ecological environment zoning management and control compliance analysis module and an approval management and control file research and judgment module.The multi-element coupling analysis module uses an environmental element simulation model to simulate different environmental element prediction data, obtain the compliance scores and relative importance weights of different environmental elements, and obtain the comprehensive compliance analysis result of the multi-elements.The ecological environment zoning management and control compliance analysis module and the approval management and control file research and judgment module compare and analyze the project basic information with the extracted rules in the corresponding management and control files, and realize the compliance analysis of the corresponding management and control files.The application realizes the automatic research and judgment of project approval, and improves the approval efficiency.

The invention discloses a large model enabling energy storage battery state estimation interpretable report generation method and system, and the method comprises the steps: obtaining experiment charge-discharge cycle data of a battery historical complete life cycle as offline training data, carrying out the preprocessing, and training a state estimation model, voltage section precision and aging process priori knowledge are extracted from historical data through a data-driven priori mining engine; a battery state is obtained in real time through a trained state estimation model, after each charge-discharge cycle is finished, a semantic text description is generated by a battery state semantic conversion module, and then the semantic text description and priori knowledge are input into a large language model; the system is driven to execute a standardized analysis process of internal consistency evaluation, prior conformity analysis and feature logicality test, and finally an interpretable report including a health state decision value, confidence, an analysis basis and operation and maintenance suggestions is output. According to the invention, the transparency and intelligent operation and maintenance level of battery state evaluation are obviously improved.

The present invention relates to an artificial intelligence-driven autonomous governance system for compliance-aware software delivery in development and operations environments. The disclosed system is implemented as a dedicated governance device comprising policy ingestion units, deployment signal acquisition units, compliance analysis processors, deployment control units, and secure audit storage units that collectively operate to monitor, evaluate, and enforce regulatory compliance throughout the software lifecycle. Regulatory definitions and organizational compliance rules are normalized into machine-interpretable representations and correlated with software build artifacts, configuration parameters, dependency relationships, and runtime telemetry associated with software deployment events. Machine learning-based compliance reasoning is applied to determine compliance states and associated confidence values, which are used to autonomously authorize, restrict, delay, or terminate deployment actions in real time. The system further incorporates adaptive learning mechanisms that refine compliance inference parameters based on historical outcomes and regulatory updates, as well as secure audit logging for traceability and verification.

The application provides a method for safety analysis of power grid construction site by using intelligent video technology, which extracts personnel skeleton key point coordinate sequence frame by frame through deep learning skeleton point detection on the continuous video stream of the site, and then identifies each atomic operation action and accurately locates its start and end frame, so as to decompose the continuous video into a step sequence with timestamp; then the sequence is matched with the standard operation step set and its timing logic chain defined in the regulation knowledge base in advance, and the abnormal action of type inconsistency and the order violation of violating the sequence dependence relationship are automatically found by using the checking mechanism based on directed graph or timing logic; the abnormal points are further matched with the violation mode library to distinguish the known typical violation from the unknown new type of deviation, and finally it is determined whether the operation meets the safety requirements, realizing the safety compliance analysis of the whole process of the complex operation of the power grid site, and greatly improving the timeliness and accuracy of the violation discovery.

This invention relates to the field of construction management technology, specifically to a method and system for automatically generating scenario-based supervision details based on big data processing. The method includes: processing historical project archives and on-site multimodal perception data; extracting typical construction activities and matching them with current action segments; constructing a construction procedure knowledge graph containing spatiotemporal constraints based on project specifications and design drawings; using this graph to perform compliance analysis on current construction actions, identifying action deviation events and their spatiotemporal coordinates, and tracing back to specific supervision items and safety clauses; integrating the above information to dynamically assemble targeted supervision detail segments, and sorting and connecting segments within consecutive time periods according to time constraints to ultimately form a complete supervision detail document. This method achieves automatic generation from on-site perception data to structured, executable supervision documents, improving the accuracy and systematic nature of construction supervision.