139 results about "Compliance check" patented technology

The invention relates to the technical field of artificial intelligence, can be applied to business scenes of financial science and technology, medical health and the like, and discloses a multi-modal content compliance auditing method, device, equipment and medium, and the method comprises the steps: receiving a multi-modal content set, and generating to-be-audited content; converting the multi-source content into unified semantic representation through an analysis unit; calling the judgment model based on the auditing strategy library and the configured auditing engine to perform semantic comparison, and generating an auditing processing result; outputting an abnormal level result according to the processing result; a rectification suggestion is generated and pushed based on the abnormal level result, and feedback data is received at the same time; recording feedback data and auditing tracking records, and generating a compliance data view and an auditing conclusion; and updating the auditing strategy library and the configured auditing engine according to the feedback data. According to the method, cross-modal check is realized through unified semantic representation, the check flexibility is improved in combination with a strategy library and a configuration engine, rectification and feedback are driven by using an abnormal level result, and the accuracy and efficiency of compliance check are improved.

The invention discloses a static database self-adaptive fuzzification desensitization implementation method for highly sensitive data in the power industry. The method comprises the following steps: a data preprocessing module, a sensitivity analysis module, a fuzzification algorithm module, a self-adaptive mechanism module and an effect evaluation and verification module. Compared with the prior art, the method has the advantages that 1, self-adaptive dynamic adjustment is performed: a desensitization strategy is automatically optimized according to data characteristics and use scenes, and privacy protection indexes (such as k-anonymity values) are improved by 30%-50%; 2, multi-dimensional balance: the information loss rate is reduced by 10%-20%, the query accuracy is improved by 5%-10%, and safety and service requirements are considered; 3, system expansibility: a plug-in architecture supports dynamic loading of new algorithms and rules, and a configuration management module realizes strategy real-time adjustment; and 4, compliance guarantee: through a law and regulation rule base and a compliance check algorithm, the compliance is ensured to meet the standard.

The invention provides a building industry finance and tax compliance digital evidence chain integrated platform which is deployed based on a cloud computing architecture and comprises a distributed server cluster, a network communication module and a database storage system. By constructing the integrated digital platform, fundamental efficiency improvement and risk management and control reinforcement of finance and taxation management in the building industry are realized, the platform enables a data acquisition process to be highly automatic, manual repeated entry work is greatly eliminated, financial personnel are liberated from tedious account checking, and the financial personnel are greatly improved. The compliance check module based on a rule engine and artificial intelligence can perform real-time and comprehensive automatic analysis on all transaction data, significantly improves the identification accuracy and timeliness of potential compliance risks, realizes instant alarm, converts passive risk response into active risk response, and improves the risk handling efficiency. Compared with a traditional manual mode, the data processing speed is improved in order of magnitude, the monthly checkout and report generation time is greatly shortened, the enterprise decision cycle is remarkably accelerated, and the overall operation efficiency is improved.

The invention discloses a forest illegal felling identification system based on computer vision, and the system comprises the following modules: a multi-source collection module which is used for collecting data and generating a unified space-time identification data set and an index; the correction registration module is used for correcting data, performing cross-sensor registration and unified resampling, and outputting an aligned image and a geo-fence index; the double-flow change module is used for pairing different time phase sub-graphs according to spatial-temporal indexes, constructing an improved double-flow network to generate a continuous change thermodynamic diagram and extracting candidate change blocks; the vector segmentation module is used for carrying out segmentation, refinement and vectorization under geo-fence constraints to obtain a fine-grained target set; the compliance checking module is used for combining the graph database and the rule engine to carry out space-time compliance checking; and the alarm judgment module is used for edge rapid reasoning and alarming, cloud rechecking and multi-source verification to form a judgment result set. The system gives consideration to accuracy and timeliness, and is suitable for continuous supervision and law enforcement evidence collection of forest regions under complex weather and topographic conditions.

The invention relates to the technical field of system compliance management, and discloses a system compliance early warning method and system, electronic equipment and a storage medium, and the method comprises the steps: collecting system file data, and carrying out the standardization processing and structural analysis; data preparation is carried out based on the system metadatabase and the supervision fine tuning corpus set, an initial model is constructed and trained, a trained system large model is formed, and version management is carried out; determining early warning types, establishing a system revision early warning model for different early warning types, and triggering early warning reminding according to an output result of the early warning model; performing difference comparative analysis on the same-theme systems based on the system large model, and generating a compliance inspection report; receiving a natural language question, generating an answer and providing system traceability information; a system outline is generated according to system revision requirements, a chapter summary and clause content are generated based on the system outline, and real-time compliance check and clause recommendation are supported. According to the invention, the intelligent demand of enterprise system full-life-cycle management can be met.

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 invoice reimbursement auditing, in particular to an intelligent invoice reimbursement auditing system based on an OCR (Optical Character Recognition) technology, which comprises a data acquisition module used for providing a data interface to upload an invoice image to be audited and basic information of an applicant; the invoice identification module is used for performing compliance check on the invoices through the universal OCR equipment, identifying invoice types and calling the targeted OCR equipment according to the invoice types; the OCR scanning module is used for scanning the invoice image to be audited through targeted OCR equipment and extracting effective information of the invoice image; the data auditing module is used for calling a corresponding intelligent auditing rule engine according to the effective information and sending an auditing result to a corresponding auditor; the auditing behavior analysis module is used for judging the authenticity of the reimbursement behavior based on the historical data and the real-time behavior data; and the risk prediction module is used for carrying out risk prediction on future reimbursement demands, cost trends and cost changes and generating visual reports and results.

The embodiment of the invention provides an unmanned aerial vehicle route early warning method, system and device for a no-fly zone and a medium, and belongs to the field of unmanned aerial vehicles. The method comprises the following steps: establishing a no-fly zone spatial database, and storing electronic fence boundaries and security level attributes of each zone; the method comprises the following steps: acquiring detection data, tracking an unmanned aerial vehicle entering a no-fly zone, generating a real-time flight path, performing compliance verification on the real-time flight path by taking a reported planned route of the unmanned aerial vehicle as a reference, marking the unmanned aerial vehicle deviating from the planned route as a suspicious target, associating identity information of the unmanned aerial vehicle with pilot information, and triggering primary early warning at the same time; and for a suspicious target, carrying out spatial superposition calculation on the flight path of the suspicious target and the electronic fence of the no-fly zone, determining an intrusion risk level according to a security level attribute, and generating an intrusion event and advanced early warning information. Accurate monitoring and track traceability management and control of the unmanned aerial vehicles in key areas are realized, and the accuracy of safety prevention and control of the unmanned aerial vehicles in the areas is improved.

The invention relates to the technical field of artificial intelligence and ESG information disclosure, in particular to an ESG report auxiliary generation method and system based on a large model technology, and the method comprises the steps of multi-source ESG data structured storage, intelligent report layout, large model driven placeholder adaptation, full-dimension compliance check, and multi-format generation and version management. Wherein the intelligent report layout supports drag adjustment and design draft conversion, and the compliance check includes a one-key repair function; the system correspondingly comprises a multi-source data processing module, an intelligent layout module, a placeholder adaptation module, a compliance check module, a multi-format generation module and other core modules, and is matched with auxiliary resources such as a visual component library, an ESG specification knowledge graph, an enterprise visual specification library, an ESG standard index database and an ESG report template library. The problems that in existing ESG report compiling, data integration is difficult, the design threshold is high, and compliance is weak can be effectively solved, whole-process intelligent auxiliary generation is achieved, report compiling efficiency and professionality are improved, and multi-scene output requirements are met.

The invention discloses a supervisible privacy information retrieval method and device, a storage medium and a program product, and relates to the technical field of cryptography and privacy computing. The method comprises the following steps: a data holder completes a publicly verifiable cryptographic commitment for a database version in a system initialization stage and records the database version commitment to an evidence storage chain, and a supervision committee establishes a threshold signature system; the supervision committee performs compliance check on the external authorization certificate and the authorization message provided by the query party, generates a threshold signature when the check is passed, and records an authorization event to the certificate storage chain; the query party assembles an authorization query packet based on the threshold signature and submits the authorization query packet to the data holder; and generating a response ciphertext under the condition that the data holder passes verification of the threshold signature and the authorization query packet, confirms that authorization is legal and is consistent with the committed binding of the database version. According to the method, authorization decision making and post responsibility asking for encrypted query are realized, and trust hypothesis for a single-point approval subject is reduced.

The invention belongs to the technical field of artificial intelligence, and particularly relates to a computer network intrusion detection method and system based on artificial intelligence, and the method comprises the steps: constructing a finite state automaton to carry out the state jump compliance verification of a connection flow, intercepting the illegal flow, only sending the compliance flow into a feature engineering module, and extracting the multi-dimensional behavior features; inputting a deep neural network classification model to determine whether the behavior is an intrusion behavior; according to the technical scheme provided by the invention, the data input to the artificial intelligence model can be ensured to have complete compliance on the protocol level, so that the model is prevented from learning false feature association caused by protocol violation, and the antagonistic attack based on protocol state jump can be effectively resisted on the premise of not depending on adversarial training.

The invention discloses an intelligent auxiliary auditing method and system for a special equipment detection report based on a multi-modal large model. The method comprises the following steps: acquiring structured inspection data; checking the structured inspection data through a preset database of the special equipment so as to obtain the checked structured inspection data; performing multi-source report consistency comparison and regulation-driven inspection item verification on the audited structured inspection data to obtain a multi-source report consistency comparison result and an inspection item compliance verification result; and generating a structured pre-auditing report according to a multi-source report consistency comparison result and an inspection item compliance checking result. According to the intelligent auxiliary auditing method for the special equipment detection report based on the multi-modal large model, through fusion of the semantic comprehension ability of OCR, image analysis, a term knowledge base and the fine-tuning large model, full-process automatic auxiliary auditing from data analysis, multi-source consistency checking to conclusion logic checking is achieved.

The invention provides a civil aviation product airworthiness conformity inspection system and method based on artificial intelligence. Auxiliary inspection can be carried out before an airworthiness conformity inspection engineer carries out inspection. The system comprises a classification module used for obtaining different types of airworthiness conformity verification reports and determining the types of the airworthiness conformity verification reports according to the report names of the airworthiness conformity verification reports; the checking module is used for inputting the airworthiness conformity verification report into a corresponding report checking model according to the category, the report checking model carries out comparative analysis on the text content of the airworthiness conformity verification report and the airworthiness conformity report compilation standard corresponding to the category based on the artificial intelligence technology, and a conformity checking result is output, the category of each airworthiness conformity verification report corresponds to one report inspection model; and the conclusion output module is used for receiving the conformity check result and outputting the conformity check result according to the structured statement to form a check result document.

The embodiment of the application provides a kind of integrated platform, modular plug-in integration method, equipment and storage medium, the platform includes plug-in registration portal, check module, registration module and control center, plug-in registration portal is configured with standard interface rule, registration information from modular plug-in can be received in plug-in registration portal, check module can carry out compliance check to registration information, and generate check result, registration module connects the modular plug-in of check through with platform, and control center encapsulates the business capability in modular plug-in. By configuring standard interface rule in plug-in registration portal, and carrying out compliance check to modular plug-in, the codeless or low code access of modular plug-in is realized, without modifying platform core code, the problem of long cycle in related art architecture integration is solved.

This image is for a driver log management system used in the transportation industry. When a user enters conditions such as date, driver name, and group name in the "search condition input area" and presses the search button, the results of the compliance check of the operation information and driver logs of drivers that match the conditions are displayed in a list format in the "search result display area". This allows the user to check at once whether the driver logs of multiple drivers meet the prescribed standards and easily identify any deficiencies.

The invention provides a two-ticket face generation method based on multiple modes, and belongs to the technical field of intelligent electronic ticket faces, and the method comprises five steps: firstly, collecting multi-source data such as a structured text and a monitoring video, and carrying out the targeted preprocessing; entity recognition, event extraction and multi-source data fusion are realized through a deep learning model and a cross-modal association algorithm, and a dynamic knowledge graph is constructed; then, a ticket face is automatically generated based on a multi-modal generation model of a Transform architecture, and iterative optimization is carried out in combination with user feedback; then supporting user interaction and personalized customization, and adapting to differentiated requirements; and finally, the face specification and safety are ensured through safety auditing and compliance checking. According to the method, deep fusion and automatic generation of multi-modal data are realized, richness, generation efficiency and suitability of ticket information are improved, compliance and safety of operation are guaranteed, and intelligent upgrading of operation and maintenance of a power system is assisted.

The invention provides a plateau lake ecological restoration fund compliance tracking and distribution system, and the system comprises a data collection layer which is used for collecting multi-source data related to an ecological restoration project; the data processing and storage layer is in communication connection with the data acquisition layer and is used for processing and storing the multi-source data; the business logic layer is in communication connection with the data processing and storage layer and is used for executing core business logic of fund compliance check, fund distribution calculation and fund use tracking; and the application presentation layer is in communication connection with the business logic layer and is used for generating and outputting a fund compliance report, a distribution scheme and a tracking result. The fund use efficiency and the ecological restoration effect can be improved, and compliant and reasonable use of funds is ensured.

The invention relates to a cross-platform AI session-oriented minimization transfer and privacy minimization pipeline method, a cross-platform AI session-oriented minimization transfer and privacy minimization pipeline system and a medium. According to the method, by defining a series of steps and system modules, the problems of privacy protection, compliance check and efficiency in data interaction among current multi-platform equipment are solved. Specifically, the method adopts a minimization transfer strategy, and ensures privacy minimization and information integrity when data is transmitted between devices by performing semantic extraction, privacy compliance verification, style mapping and minimum load construction on input content. Meanwhile, the system effectively prevents irregular data circulation through path control and an abnormal bypass blocking mechanism, and ensures data security. On the basis, all key operations are recorded through a PSIG path signature chain, and auditing and compliance guarantee of system operations are achieved. According to the invention, a plurality of heterogeneous devices can cooperate seamlessly, the accuracy and safety of cross-platform sessions are improved, and the method is widely applied to the fields of smart home, education, customer service and the like.

This invention discloses an intelligent attendance management system, characterized by comprising a data interface layer, a data processing layer, and an interaction layer. The data interface layer flexibly defines and generates structured attendance cycle rules through a dynamic cycle adaptation module, and synchronizes and standardizes raw attendance data from multiple external data sources through a raw data acquisition module. The data processing layer uses a multi-source data fusion module to resolve data conflicts according to hierarchical adjudication rules, and uses a cross-cycle calculation module to segment cross-cycle events according to cycle rules, and an anomaly judgment module to perform compliance checks and generate result records. The interaction layer provides a visual operation interface and implements role-based fine-grained access control through an identity recognition login unit. The advantages are that it solves the problems of rigid cycles, multi-source data conflicts, cross-cycle event calculation errors, and numerous invalid reminders in traditional attendance systems, thereby improving the accuracy, authenticity, and efficiency of attendance management.

An apparatus for adjusting a display of a graphical user interface (GUI) based on image data. The apparatus includes a machine vision system configured to capture images of real-world objects within an environment, at least a processor; and a memory coupled to the processor. The memory contains instructions configuring the processor to receive input data objects, comprising image data and location data, using the machine vision system, process the image data using the machine vision system to extract and classify components of the visual inputs, generate structured environmental data based on the processed image data, and modify the GUI based on the input data objects and the structured environmental data. The image data is cross-referenced with applicable regulatory mandates by performing real-time safety assessments and compliance checks based on visual inputs of the image data.

The application relates to the technical field of BIOS configuration testing, and discloses a BIOS configuration testing method, device, equipment, storage medium and computer program product, the method comprising the following steps: obtaining BIOS configuration parameters of a target computer system; automatically comparing and verifying the BIOS configuration parameters with a preset configuration rule library to generate a verification result; and rendering the verification result based on a preset template engine to generate a structured test report. The application accurately completes BIOS configuration compliance checking through automatic verification and report generation, and outputs a standardized and clear structured report through the preset template engine, so that users can directly obtain efficient, reliable and standardized test result output when implementing system configuration auditing or compliance checking, and the test efficiency is improved.

The invention discloses an intelligent contract review and generation method based on a large language model, and relates to the field of large language models.The method comprises the steps that contract related documents input by multiple parties are obtained, analysis and structured processing are carried out, and structured contract data are generated; based on the structured contract data, multi-source information retrieval is carried out through a vector database and a knowledge graph, standard template terms, historical review opinions and laws and regulations related to a current contract are obtained, and a retrieval context is constructed; the structured contract data and the retrieval context are combined into prompt input, the prompt input is input into a pre-trained large language model for compliance verification, risk identification and conflict resolution, and revised contract terms are generated; and performing automatic review and version integration on the revised contract terms, outputting a final contract text, and recording a version revision track. According to the method, efficient automation and standard unification examination and generation of the contract are realized through an intelligent processing flow based on a large language model.

The invention provides an enterprise agent application system based on a large model, and the system comprises a data preprocessing module which receives and processes heterogeneous data from the interior and exterior of an enterprise, and the heterogeneous data comprise structured data, semi-structured data and unstructured data; the large model core module executes semantic understanding, knowledge reasoning, task generation and result optimization based on a pre-trained large-scale language model or a multi-modal model; the agent execution module is used for executing task decomposition, dynamic planning and result generation according to the output of the large model; the knowledge base management module is used for storing and managing a knowledge base in a specific field of an enterprise; the user interaction module provides a multi-mode interaction interface which comprises a voice interface, a text interface, a graphical interface and an API (Application Program Interface); the distributed computing module is used for executing large model reasoning and task allocation based on a distributed computing framework; and the security management module provides data encryption, access control, audit log and compliance check.

The application relates to the technical field of blockchains, and discloses a mobile product whole-life-cycle tracing method based on a blockchain, which comprises the following steps: a relay chain extracts compliance judgment indexes in administrative rule update data, generates compliance check salt values in combination with time stamps, and distributes the compliance check salt values to parallel chains of each business domain; the parallel chains of the business domain map material tracing data and the compliance check salt values, generate business state vectors containing local details and embedding time-effect features of the compliance judgment indexes; and the relay chain implements logical check on the collected business state vectors by using an orthogonal state mask, anchors to a global tracing ledger after verifying a compliance time sequence, and establishes a strong time sequence constraint benchmark of management logic in a heterogeneous chain by the compliance check salt values, eliminates compliance risks caused by rule replacement lag of local nodes, and ensures response efficiency of cross-chain tracing under a mass transaction condition by using a bit operation mechanism.

The invention provides a power grid infrastructure project peasant worker salary intelligent accounting method and system, and relates to the technical field of power grids. According to the invention, the accuracy and real-time performance of the source data are ensured by automatically acquiring the multi-source data, and the low efficiency and errors of manual acquisition are eradicated. And three core checks of personnel legality check, workload rationality check and payment compliance check are automatically executed, and the accuracy and compliance constraint of intelligent accounting are guaranteed. And the salary details and the accounting traceability graph are automatically generated, so that the accounting process is transparent and credible, and the approval efficiency is improved. And an electronic approval and signature process is automatically triggered, so that full-link intelligent accounting from accounting to archiving is realized. According to the method, the problems of long salary accounting period and low efficiency of the current power grid infrastructure project are solved, and the salary accounting efficiency of the power grid infrastructure project is improved.

The invention discloses a power project document auditing method based on artificial intelligence, and the method comprises the steps: building a power project document knowledge base, and obtaining a to-be-audited project document in a power project document management system; performing format recognition on the to-be-audited project approval document, and converting the to-be-audited project approval document into a uniform format, namely uniformly converting the format of the document into a TXT format; the method for processing project approval documents in a unified format through the trained artificial intelligence model comprises the following steps of: extracting key information from the documents, and labeling and classifying the key information; performing compliance check on the document content according to preset rules and standards; checking the consistency of various data of the document, and marking and modifying inconsistent data; and processing a key information extraction result, a compliance check result and a consistency check result to obtain an audit result report, and synchronizing the audit result report to a knowledge base. And the document auditing efficiency and accuracy are improved.

The invention discloses a capital construction feasibility investigation automation standard compliance verification method and system, relates to the technical field of data verification, and solves the problems that feasibility investigation in the prior art mainly depends on manual examination and is low in efficiency, high in subjectivity and easy to omit. According to the method, automatic checking of capital construction research and review automation standard compliance verification is realized through an intelligent algorithm, manual intervention is reduced, and the checking efficiency is improved; moreover, the advanced intelligent technology is utilized, so that the accuracy and the consistency of a verification result are improved; in addition, the standard library can be dynamically adjusted according to the updating of the capital construction feasibility research standard, so that the automatic standard compliance verification requirements of capital construction feasibility research examination in different regions and in different scales are met; moreover, the automatic standard compliance verification system for capital construction research and review can be upgraded and optimized according to actual requirements, so that the maintenance cost is reduced.

The invention relates to the technical field of intelligent medical information processing, and discloses an intelligent voice interaction robot based on natural language processing, which comprises a robot body and an interaction system mounted on the robot body, the interaction system comprises a voice receiving module, an optimization recognition module, a semantic analysis module, an intention recognition module, a task execution module and a content output module. According to the method, the robustness in a complex medical environment and a special user group is improved through a noise suppression and self-adaptive interaction strategy; through deep semantic analysis and a multi-task risk identification model, precise judgment and context perception of medical intentions and risk levels thereof are realized; and through task execution based on risk grading and multiple compliance check, high unification of intelligence and differentiation of medical service content generation and medical safety is ensured, so that efficient and reliable technical support is provided for medical fields such as medical consultation, pre-inquiry and triage processes.

The application discloses a two-ticket illegal information identification method, system, device and medium, and relates to the technical field of power operation management, and the method specifically comprises the following steps: in response to a received illegal information identification request, determining an operation ticket and a work ticket corresponding to the illegal information identification request, creating a ticket database, extracting key information of the operation ticket and the work ticket according to the ticket database, and checking whether the format expression of the key information is compliant; creating an operation step checking model, obtaining operation steps recorded in the operation ticket and the work ticket, and checking whether the operation steps are compliant according to the operation step checking model; and creating a power knowledge graph, and checking whether the execution task and the associated requirements of the operation ticket and the work ticket are compliant according to the power knowledge graph. The compliance check is performed through an automatic process, the auditing efficiency of the operation ticket and the work ticket is greatly improved, and the risk of illegal problems is reduced.

The invention discloses an enterprise multi-level knowledge tag recommendation method and equipment. According to the method, when a knowledge document uploaded by a user is received, a user role is firstly obtained, and then text semantic analysis is carried out on the knowledge document through a semantic extraction model to extract business semantic information. And based on a multi-level knowledge graph comprising a group tag, a subsidiary tag, a business scene and a user role, combining with the extracted business semantic information for matching to obtain a candidate tag set corresponding to the knowledge document. And according to a multi-level compliance verification rule covering a basic format verification rule, a semantic boundary verification rule and a level adaptation verification rule, verifying the candidate tag set and screening out compliance tags. And performing multi-dimensional association reasoning through the multi-level knowledge graph and the business semantic information, determining a label associated with the compliance label, and finally recommending the compliance label and the associated label to a user.