64 results about "Automatic compliance" patented technology

The invention relates to the technical field of bidding document auditing, and particularly discloses a bidding document compliance auditing method based on a multi-modal knowledge graph, which comprises the following steps: extracting a standard reference file from an authoritative data source, and constructing the multi-modal knowledge graph in combination with natural language processing and image recognition technologies; through modal separation and structured processing, texts, tables and images in the bidding document file are converted into structural features, and standardized expression of an unstructured document is achieved; through semantic mapping and node matching, a one-to-one correspondence relationship is established between text modal features of a bidding document file and standard term nodes in a knowledge graph, and text difference features are extracted, so that the accuracy and pertinence of an auditing result are improved; based on an automatic reasoning mechanism of a knowledge graph logic rule, automatic compliance judgment is completed, and subjectivity and omission risks of manual auditing are reduced; the bidding document file is subjected to hierarchical labeling through cross-modal consistency verification, a compliance evaluation result is formed, and the intelligent level of auditing is improved.

The invention relates to the technical field of computer information security, in particular to a method and a system for compliance check based on a windows operating system, comprising the following steps: a preparation stage: identifying applicable laws and regulations and industry / internal security standards, selecting check tools, and formulating project plans; in the data acquisition stage, an operating system version, a patch, a user permission, network configuration and log information are acquired through WMI or PowerShell; the beneficial effects are that through the automatic compliance inspection process, the manual inspection time is greatly reduced, and the working efficiency is improved; and monitoring a plurality of dimensions, such as configuration, application, permission, patches and the like, of the Windows operating system to ensure that various configurations of the operating system meet security standards.

The invention discloses an automobile industry code quality automatic compliance method based on a large language model. The method comprises the following steps: calling a static code analyzer to generate a violation report; the method comprises the following steps: intelligently classifying violation into Tier1, Tier2 and Tier3 based on a multi-feature analysis algorithm of a rule document; for Tier1 violation, performing three times of retry iteration repair by using a large language model, automatically detecting compilation errors and performing rollback; for Tier2 violation, multiple technical schemes are extracted by a large language model for a user to select; a multi-LLM antagonistic cooperation mechanism is adopted for Tier3 violation, automatic restoration of complex violation is achieved through a Generator generation restoration scheme, a Disscriminator review challenge scheme and antagonistic iteration of Arbiter arbitration conflicts, and an optimal scheme is selected through a weighted voting algorithm when conflicts occur. The method obviously reduces the manual intervention rate, improves the repairing quality, and is low in cost and high in universality.

The invention discloses an automatic compliance examination method and system based on graph retrieval enhancement. The method comprises the following steps of: obtaining a billing specification and a historical inquiry report as input documents; the input document is subjected to dual-mode document segmentation based on a large language model, logic blocks and physical blocks are generated, and each logic block is a continuous page unit and is attached with a content abstract generated by the model; constructing a precedent graph, extracting key legal elements in the historical inquiry report through multi-stage recursion, generating semantic network nodes carrying traceability identifiers, and establishing cross-document semantic association; and constructing a state graph, automatically identifying chapters and logic and semantic relationships among the chapters based on a document hierarchical structure, and generating a machine-readable structured index and the like. According to the method, the long text semantic understanding depth, the cross-section consistency and the legal reasoning accuracy are remarkably improved, the manual review cost is reduced, and the method is suitable for a listing compliance review scene under a registration system.

The invention discloses a micro-patch dynamic protection method, system, device and medium for a security partition of a power monitoring system, and belongs to the technical field of dynamic protection, and the method comprises the steps: achieving the secure transmission of a micro-patch through TPM offline signature and segmented verification, and completing atomization instruction replacement in TEE to achieve uninterrupted deployment; implementing multi-dimensional operation attitude measurement and dynamic threshold analysis by utilizing a hardware one-way channel synchronization strategy beacon and combining a hardware trust root; and meanwhile, a double-chain auditing system is deployed to realize automatic compliance evaluation. The method has the beneficial effects that patch integrity verification, credible loading, measurement during operation and closed-loop evidence obtaining are deeply embedded into a real-time link of the power monitoring system; the method has the following core beneficial effects that the vulnerability opening time is shortened, the contradiction between compliance and real-time performance is broken, the cross-regional defense cooperation efficiency is improved, the integrity protection during operation is enhanced, a legal-level credible auditing chain is constructed, meanwhile, heterogeneous equipment is compatible, and the hard real-time stability is kept.

The invention relates to the technical field of system operation and maintenance, in particular to an equipment configuration compliance self-checking method and device, equipment and a storage medium. The method comprises the following steps of: performing parameter-level configuration anomaly detection on residual configuration items through an anomaly detection model, performing confidence analysis on global configuration compliance by fusing two types of anomaly detection results, finally generating a comprehensive analysis report about target equipment, and realizing closed-loop management of automatic repair-shadow verification-safe rollback by linking a repair system. According to the scheme, through rule and AI model cooperative detection and a closed-loop repair mechanism, the configuration check efficiency and accuracy are remarkably improved, the labor cost and the business risk are reduced, meanwhile, the dynamic adaptive capacity is achieved, and the method is suitable for automatic compliance management of large-scale IT infrastructures.

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.

A lighting system for an emergency vehicle, the lighting system including one or more light sources, and a processor, where the processor is configured to receive one or more compliance data from each light source of the one or more light sources, receive one or more location data from each light source of the one or more light sources, compare the compliance data and the location data with a compliance standard, determine a compliance minimum and a compliance maximum for one or more characteristics for each light source of the one or more light source, and adjust the one or more characteristics of each light source of the plurality of light sources based on one or more user commands, wherein each light source of the plurality of light sources operates at or above the compliance minimum and at or below the compliance maximum for each light source.

The invention discloses a building information model compliance examination method based on IFC-Graph and a large language model, and the method achieves the precise structured analysis of supervision provisions through BILUO annotation and self-correction, completely reserves the BIM semantics and relation through an IFC-Graph knowledge graph, achieves the semantic consistency of a supervision concept entity and an IFC concept entity through semantic alignment, and achieves the compliance examination of the supervision concept entity and the IFC concept entity. And finally, realizing multi-hop retrieval and interpretable automatic review by utilizing a large language model in combination with GraphRAG. An IFC-Graph knowledge graph is constructed based on a BIM model, entities in a supervision text and IFC class tags are subjected to semantic alignment, reasoning and automation are performed by fusing a large language model in an examination process, and meanwhile, the accuracy of LLM text data generation is improved through GraphRAG, so that the accuracy of BIM compliance examination is improved, and the efficiency of BIM compliance examination is improved. The problems of difficulty in semantic alignment of the building supervision provisions and the BIM model and low efficiency of automatic compliance review are solved.

The invention discloses a cross-border logistics document multi-language machine translation method based on natural language processing, and relates to the technical field of machine translation, and the method comprises the steps: collecting original data of a cross-border logistics document, and carrying out text extraction and preprocessing through an OCR technology; performing language recognition and format analysis on the preprocessed document text to determine a source language and a target language; using a pre-trained cross-language alignment translation model to translate the document text into a target language text; the translation result is input into a compliance auditing module, and automatic compliance auditing is conducted through a knowledge graph and a double-check algorithm; and generating an output containing a translation result and a compliance audit report, and supporting manual review and revision. According to the method, the translation accuracy of the documents can be effectively improved, the manual auditing burden is reduced, and the globalization requirements of cross-border e-commerce and logistics enterprises are met.

The invention provides a non-tampering operation and maintenance auditing system based on a block chain, and the system comprises a multi-source auditing data collection module, a block chain evidence storage engine, an intelligent contract auditing module, a cross-scene cooperative auditing module and a visual auditing platform, and all the modules cooperate according to a preset logic to form a closed-loop auditing system. According to the method, the problems of uncredible data, incomplete coverage, poor compliance adaptation, early warning lagging, insufficient cross-scene consistency and the like of a traditional operation and maintenance auditing system are solved, and through deep fusion of a block chain technology and an intelligent algorithm, auditing data full-link credible evidence storage, risk real-time perception, compliance automatic adaptation and cross-scene consistent tracing are realized; on the premise of guaranteeing the security and compliance of an information system, the auditing efficiency is improved, the operation and maintenance interference and resource consumption are reduced, and the operation and maintenance auditing requirements under complex IT architectures in multiple industries such as finance and government affairs are met.

The invention relates to the technical field of information, and discloses a finished product label printing method and system and a finished product warehousing method and system.The method and system comprise an intelligent label generation module, a multi-mode printing control module and an intelligent warehousing scheduling module. An automatic compliance verification mechanism is established to match enterprise visual identification specifications in real time, the problem of format deviation caused by manual design is effectively solved, standardized output of product labels of different specifications is ensured, label design parameters are dynamically optimized through deep fusion of production line working condition parameters and historical template features, and the product quality is improved. The consistency and compliance of label generation in a complex production environment are guaranteed, the accuracy and normalization of label printing are improved, it is guaranteed that the printing effect is not affected by fluctuation of the working condition of a production line, the defects that in the prior art, labels are fuzzy and fall off due to environment changes are overcome, and the lasting readability of the labels is guaranteed.

The invention is suitable for the technical field of compliance inspection, and provides a material compliance inspection method and device, electronic equipment and a storage medium. The material compliance examination method comprises the steps of obtaining a to-be-examined picture in a feasibility research report, wherein the to-be-examined picture comprises at least one target object; based on the to-be-examined picture and the segmentation model, an optical character recognition technology is adopted, an object knowledge base is constructed, and the object knowledge base comprises a mapping relation among a target object, the area of the target object and the number of the to-be-examined picture; on the basis of the object knowledge base, constructing cue words; and performing compliance review on the target object based on the feasibility research report, the object knowledge base, the cue word and the big language generation model. According to the technical scheme provided by the invention, automatic compliance review can be performed on the materials in the picture of the feasibility research report through the big language generation model, the segmentation model and the optical character recognition technology, and the efficiency and accuracy of the compliance review of the materials are improved.

The invention relates to the field of network security, and particularly provides a security cooperation system and method in a hybrid cloud environment. The system comprises a unified security management module, a security solution cooperation module and a security function module. The unified security management module analyzes a self-healing algorithm through a policy graph, carries out graph modeling on a multi-cloud security policy, automatically identifies policy conflicts and drifts through graph difference analysis, and realizes continuous consistency and self-healing of a cross-cloud policy. And the security solution cooperation module is embedded into a reinforcement learning agent, dynamically decides an optimal deployment scheme of security resources according to a reward function by sensing a threat situation, a resource utilization rate and response delay, and realizes intelligent self-adaptive arrangement of protection resources. The security function module is used for micro-servitizing and containerizing security capability based on a cloud native technology, transparent injection is realized through a service grid, an automatic compliance repair and verification mechanism is built in, and a compliance closed loop for detection, repair and verification is formed. And the management efficiency and the protection accuracy of the security policy are improved.

The invention provides an automatic compliance review method and system for territorial space planning based on a knowledge graph, and relates to the technical field of data processing, and the method comprises the steps: constructing a graph processor, processing a territorial space planning scheme, constructing a planning field based on the territorial space planning scheme according to a field processor, and carrying out the automatic compliance review of the territorial space planning scheme. The layered planning map and the planning field are transferred to a digital reviewer, two-stage digital review analysis is executed, a territorial space planning review report is generated, and the two-stage digital review process comprises local conflict field positioning based on the planning field and multi-round information transmission reasoning based on the layered planning map; and carrying out popup display on the territorial space planning review report. The technical problems that in the prior art, a territorial space planning scheme has limitation and lacks intelligent review ability of planning experience, rules and the like, and comprehensive and accurate analysis of the planning scheme is difficult to achieve are solved. The technical effects of automatically examining the territorial space planning scheme and improving the examining efficiency and accuracy are achieved.

The invention provides an LLM-based engineering project scheme compliance examination method. The method comprises the following steps: Step 1, data preparation; implementing multi-dimensional data acquisition through a distributed web crawler system; step 2, processing various types of data of images, texts and tables by using a large language model (LLM) technology; step 3, performing Prompt fine tuning optimization on the data, so that the large language model can better understand and generate related contents of compliance review of the engineering project scheme; step 4, performing automatic compliance check based on rule and mode matching; by defining a series of rules and modes, automatic compliance review of project documents is realized; and Step 5, establishing a risk generation assessment and early warning mechanism based on the large model. Through automatic compliance inspection, the workload of manual auditing is reduced, and document specifications are ensured; and an intelligent risk assessment and early warning mechanism identifies and notifies potential risks in real time, so that compliance risks are effectively reduced, and the safety and the overall level of project management are improved.

The invention provides a global digital transformation-oriented database security management system, which relates to the field of electric digital data processing and comprises an intelligent threat detection and protection module, a unified identity and dynamic authority control module, a full life cycle data security protection module and an intelligent operation and maintenance and compliance management module, the intelligent threat detection and protection module is used for realizing intelligent recognition, analysis and automatic protection of database threats, and the unified identity and dynamic permission control module is used for realizing cross-platform identity unified management and controlling dynamic permissions based on context. The full-life-cycle data security protection module is used for covering security protection of the whole process of data creation, storage, transportation, use and destruction, and the intelligent operation and compliance management module is used for providing intelligent operation support and automatic compliance management capability; the system solves the technical problems that a traditional database security system cannot cope with complex and changeable threat environments, lacks personalized modeling ability, is extensive in authority management and the like, and the intelligent level and the adaptive ability of database security protection are remarkably improved.

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

The invention provides a sampling-based data element compliance detection method and device. The method comprises the following steps: marking a compliance authorization model to form an authorization template; carrying out sampling inspection on the authorization book according to the configured sampling strategy; wherein in the casual inspection process, compliance detection is carried out on the authorization book by utilizing the authorization template. According to the system, the compliance reliability can be efficiently and automatically improved; the system realizes full-process automatic processing of authorization compliance through a three-level logic system of the model labeling module and a trigger execution system of the sampling detection module; and moreover, flexible configuration can be realized to adapt to a complex service scene, and the applicability and expansibility of the system are improved.

This application provides a method, system, equipment, and medium for automatic compliance verification in warehousing scenarios, belonging to the field of intelligent warehouse management technology. The method includes: collecting environmental photos and close-up photos of invoices related to the warehousing operation; performing image recognition on the environmental photos to determine whether they simultaneously contain three key elements: the operator's face, the shape of the goods, and the scale reading; extracting facial features and matching them with a pre-built authorization database; performing OCR recognition on the invoice photos to extract category and weight information, and comparing it with the weighing reading and the entered category; and determining non-compliance and blocking the warehousing process in real time when any key element is missing, the identity is unauthorized, the weight deviation exceeds a threshold, or the category is inconsistent. This invention transforms compliance judgment from post-event manual sampling to real-time control during the process, ensuring the integrity and validity of the stored photos, achieving automatic cross-verification of invoice information and weighing data, effectively preventing misrecording, omissions, and forgery, and reducing regulatory costs.

A lighting system for an emergency vehicle, the lighting system including one or more light sources, and a processor, where the processor is configured to receive one or more compliance data from each light source of the one or more light sources, receive one or more location data from each light source of the one or more light sources, compare the compliance data and the location data with a compliance standard, determine a compliance minimum and a compliance maximum for one or more characteristics for each light source of the one or more light source, and adjust the one or more characteristics of each light source of the plurality of light sources based on one or more user commands, wherein each light source of the plurality of light sources operates at or above the compliance minimum and at or below the compliance maximum for each light source.

The invention discloses a power market transaction data traceability and compliance verification method and system, and relates to the technical field of data traceability. The method comprises the following steps of: splitting transaction data into public and private field sets by each node, calculating a hash value of the private field set, generating a zero-knowledge proof, performing digital signature by using a private key, forming a transaction data packet, verifying the data packet in parallel by the nodes of the whole network, storing the data packet into a memory pool, selecting a plurality of data packets, constructing a Merkel tree, and packaging the Merkel root of the block and the hash value and the timestamp of the previous block to a block head, packaging a transaction data packet to a block body, assembling to form a candidate block, performing consistency confirmation on the validity of the candidate block through a power grid security contract, and adding the candidate block to the block chain by each node. According to the invention, full-life-cycle credible traceability and automatic compliance supervision of power market transaction data from a power generation source to final settlement can be realized, and a set of complete credible data chain penetrating links of power generation, transaction, transmission and settlement is constructed.

The invention discloses an intelligent invoice checking and reimbursement management system and method, and belongs to the technical field of data processing, and the system comprises an invoice information collection module, an invoice intelligent identification and structuring module, an invoice authenticity checking module, a reimbursement compliance verification module, a whole-process collaborative management module and a data analysis and decision support module. According to the method, invoice key information extraction and structuring are carried out by adopting a deep convolutional neural network, authenticity checking is carried out through an asynchronous multi-channel mechanism, compliance automatic checking is realized by utilizing a configurable rule engine, and automatic circulation and state tracking of a reimbursement process are driven based on a state machine. According to the invention, full-process closed-loop management from invoice submission, identification and check, compliance check to payment and archiving is realized, the problems of low invoice identification accuracy, poor check efficiency and lack of dynamic compliance check and full-process management and control in the prior art are effectively solved, and the invoice processing efficiency and the intelligent level of financial management are improved.

The invention relates to the technical field of computer information processing, in particular to an automatic compliance detection method, device and system. The method aims at solving the problems that in the prior art, due to the fact that compliance inspection depends on manual work, efficiency is low, standards are not uniform, and massive dynamic change rules are difficult to deal with. The method comprises the following steps: firstly, constructing and dynamically updating a structured compliance rule knowledge base; then, obtaining to-be-detected target content through a data interface, and performing analysis and key information extraction on the to-be-detected target content by utilizing a natural language processing technology; then, carrying out automatic matching and logical reasoning on the extracted information and terms in a compliance rule knowledge base so as to identify potential compliance risk points; and finally, generating a structured detection report, and listing risk contents, clauses and correction suggestions in detail. According to the invention, the efficiency and coverage of compliance detection are significantly improved, the risk of artificial omission and false detection is reduced, and the detection efficiency is improved.

The application discloses a kind of report compliance generation method and system based on metadata driving, belong to data processing technical field.The method includes: the original metadata of heterogeneous database is collected, is converted into unified metadata model;In response to report configuration operation generation semi-structured SQL template;In response to report query request, build security context, execute SQL after injecting permission condition and obtain query result set;In response to data entry operation, load compliance rule, and check business data object by rule engine;When check does not satisfy and is configured as automatic silent execution mode, execute correction in memory, and write the correction data into business table in the same database transaction, simultaneously change context is written into audit log table;In response to export request, stream generation data file.The application realizes automatic compliance correction, and guarantees rule consistency in heterogeneous database environment based on unified metadata model by atomicity audit, efficiency and compliance are considered.

A knowledge enhancement-based building model automatic compliance check method comprises the following steps: collecting text building specifications and carrying out structured processing, sequentially extracting specification provision entities and specification provision events for generating a code framework, complementing the code framework, and finally carrying out compliance check to obtain the building model. And constructing a model data set and outputting a compliance check result. According to the method, multi-modal building specifications are converted into specifications in a computer recognizable form by pre-training the large model and the BIM model, knowledge enhancement is realized by performing information extraction on the building specifications, and the problem that a traditional automatic compliance inspection method is greatly dependent on manual annotation and is poor in applicability to different professional building specifications is solved.

The invention provides a voice detection method and device, equipment and a storage medium, and relates to the field of big data processing, and is used for improving the timeliness and accuracy of voice detection and ensuring the normal development of businesses. The specific scheme is as follows: acquiring and analyzing voice data in a call process, converting the voice data into a text and matching a preset lexicon; automatic compliance detection from voice to text is realized; and when the preset word is detected, differentiated treatment is adopted according to the response level of the preset word, so that timely blocking and non-compliance control are realized, and non-compliance behavior diffusion is prevented. In the whole process, the timeliness of voice detection is improved, objective and consistent compliance judgment can be realized based on the unified word bank, the detection accuracy is remarkably improved, and standard development of call services is guaranteed.

In some implementations, a compliance system may receive, from a pipeline system, a set of properties associated with configuration of a cloud infrastructure. Additionally, the compliance system may receive, from a code repository, a set of computer code associated with the cloud infrastructure. The compliance system may provide the set of properties and the set of computer code to a machine learning model to receive a set of compliance indicators and a set of severity levels. Each compliance indicator in the set of compliance indicators being associated with a corresponding severity level in the set of severity levels. The compliance system may selectively deploy the cloud infrastructure in response to receiving the set of severity levels.

The present application relates to a kind of drawing compliance review method, system and equipment for distribution network expansion, belong to data processing technical field, solve the existing cross-page tracking difficult, review object and evidence correlation inaccuracy and the problem of poor review conclusion explainability.Proceeding with the analysis of the drawing of distribution network expansion review, obtain drawing information, build cross-page electrical topology and multiple drawing evidence collection;From the rule clause library of pre-set, obtain candidate clause and parse into structured review clause;According to review clause, cross-page electrical topology and drawing evidence collection, obtain target review object and its candidate evidence collection, and generate review item in combination with review clause;The candidate evidence collection corresponding to each review item is divided into target evidence collection and conflict evidence collection, the gating confidence score of each candidate evidence collection is calculated, and the review result and review track of each review item are obtained.Full-process automatic compliance review from unstructured drawing to reviewable review result is realized.