75 results about "Review process" patented technology

Computerized systems and methods for automated Access Permissions Review in an organization. A method includes: (a) receiving a textual description of an Access Review Policy; (b) constructing a trigger for automatically initiating an Access Review process; (c) automatically collecting organizational data that pertains to: (i) roles and positions of users, (ii) user-specific characteristics, (iii) email messages sent and received by users, (iv) description of events in which users had accessed elements of the Organizational Resource. Upon a triggering of the trigger, the method provides to a fine-tuned Large Language Model (LLM), the Access Review Policy and augmentation data from the organizational data, and a prompt instructing the LLM to generate a proposal to revoke, modify, add or maintain the Access Permissions of a particular user, and further instructing the LLM to generate output that describes reasoning and supporting evidence for the proposal.

The invention provides an examination method and system for a territorial space control detailed planning achievement, and the method comprises the steps: 1, formulating a control and regulation achievement library element standard according to a target planning plot and the basic information of territorial space planning, compiling a territorial space controllability detailed planning GIS result file according to the basic information and a control and regulation result library element standard; 2, according to the basic information, control data and review rules are determined; 3, summarizing rule types according to the management and control data and the review rules, determining the rule type to which the management and control data belongs, and setting a review process corresponding to the rule type; and 4, according to the review process, reviewing the territorial space controllability detailed planning GIS result file to obtain a review result. According to the method, the content format of the GIS result file is unified, the review rule is cleared and solidified, the free cutting space of reviews is compressed, the review process can be standardized and processed, and the review efficiency and quality are improved.

The invention discloses a document auditing method and device based on cooperation of a large model and a rule engine. The method comprises the following steps: analyzing an original document to form an intermediate representation file; extracting entities from the intermediate representation file to form an entity candidate set; inputting the thinking chain cue word into the large model to obtain a first triple, a first confidence coefficient and a first risk level, and calculating a first traceable score of the large model according to the reasoning path node; performing deterministic judgment by using the rule engine to obtain a second triple, a second confidence coefficient, a risk level and a second traceable score; calculating two weighted voting values and obtaining a conflict difference value; taking a conclusion corresponding to the high-weighted voting value as a final conclusion when the conflict difference value is smaller than a preset judgment threshold value; otherwise, starting an artificial rechecking process; and generating audit reports in various formats. According to the method, the advantages of relatively high language understanding ability of a large model and relatively high certainty of a rule engine are exerted, and the problem of missed checking or excessive marking is avoided.

The invention provides a multi-model scheduling and structural semantic fusion document review method, which comprises the following steps of: rearranging contents in a to-be-reviewed document on the basis of a semantic hierarchical structure of the to-be-reviewed document to obtain a structured recombined document; constructing a review task graph of the to-be-reviewed document; and configuring a task route for each review task in the review task graph, executing the plurality of review tasks based on the review task graph configured with the task routes, and determining a review result of the structured recombined document. In the face of a large number of dense document scenes, the automatic document review process is achieved, the review efficiency is effectively improved, meanwhile, the accuracy and consistency of review results are guaranteed by means of structured processing and accurate model calling, and the requirements of services for high efficiency, high accuracy and high consistency are fully met.

The invention discloses a multi-field review method and system driven by dynamic rules, and belongs to the technical field of intelligent review. Comprising the steps of dynamic rule engine configuration, expert management configuration, automatic grouping matching, expert online review and meeting voting. And full-dimension coverage of cross-project type, cross-organization department and cross-business scene is realized. For talent selection, technical evaluation of scientific research projects and title evaluation, dynamic construction and flexible adjustment of a differentiated evaluation process can be completed based on the same platform, so that the evaluation efficiency and scientificity are effectively improved, and a standardized and intelligent technical solution is provided for multi-subject and multi-scene collaborative evaluation business; the problems of flow stiffness, weak functions, extensive management, lack of transparency and security vulnerability of an existing review system are solved.

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 provides an intelligent review system and method fusing multi-agent cooperative driving, and the system comprises a task receiving and planning module which is used for receiving a research and development project task, analyzing a task type, planning an execution path, and generating a task instruction containing an agent type and a task feature; the rule calling module is used for selecting an examination rule matched with the task type from a rule base based on the task instruction; the multi-scene review agent module comprises at least one agent, each agent executes a review process, and the review process comprises the steps of analyzing a review rule and determining a review target and a review standard; obtaining to-be-examined data from the research and development project data based on the examination target; matching the to-be-examined data with an examination standard to generate an examination result; and the report generation module is used for summarizing the review results of all the agents and generating a review report containing a problem list, a compliance conclusion and a modification suggestion. According to the invention, automatic execution and high result integration of the collaborative intelligent review task in multiple scenes are realized.

Methods and systems for a document review process are provided. The method includes receiving an input digital model representation comprising at least one externally-accessible model endpoint for generating a digital artifact. Then, generating a document splice comprising access to multiple document subunits, with at least one document subunit written in a natural language and comprising the digital artifact; the access to each document subunit is provided through an externally-accessible document endpoint for the subunit. Then, generating a document by combining the document subunits, and generating a view associated with the document, based on an user authorization result including selective access rights to the document subunits. The view comprises access to the digital model representation, the digital artifact, each document subunit, and the document. Finally, receiving a user input and updating, via one of the externally-accessible document endpoints, the document splice based on the user input.

The invention relates to the technical field of bidding and tendering, and discloses a bidding and tendering file deep understanding and multi-rule review management system based on a large model, and the system comprises an environment state representation module which is used for encoding a bidding and tendering file into a structured state vector; the multi-agent decision-making module comprises a plurality of professional agents and is used for executing a review action according to the state vector; the dynamic risk transmission module is used for generating a risk broadcast vector when a professional agent identifies the risk, and adjusting subsequent actions of other agents through a cross-agent attention mechanism; the strategy training module is used for training the strategy of the multi-agent decision-making module by utilizing an expert review track through a generative adversarial imitation learning mode; and the report generation module is used for outputting a dynamic review path report. According to the method, the dynamic optimization of the review path is realized by simulating an expert strategy, the risk collaborative review across professional fields is realized through a risk transmission mechanism, and the traceability of the review process is ensured at the same time.

The invention discloses an intelligent auditing method and system for environmental assessment file auditing, and the method comprises the steps: firstly loading a to-be-audited environmental assessment file, and loading an auditing rule according to the type of the environmental assessment file; then extracting a directory of the environmental assessment file, and displaying the content of the environmental assessment file according to a page sequence of the directory of the environmental assessment file; a preset file intelligent auditing model is used for auditing the environmental assessment file; and finally, displaying an audit result through a human-computer interaction interface. Wherein the human-computer interaction interface comprises a basic information display area, an original content display area, a file directory display area, an auditing log display area and an auditing result display area. The application file intelligent auditing model leads or assists the auditing work of the environmental assessment file, so that the auditing efficiency and quality of the environmental assessment file are improved while the auditing content of the environmental assessment file is standardized.

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.

This application provides a method, apparatus, storage medium, and electronic device for reviewing merchant annual inspection work orders, relating to the field of work order review technology. It enables automated review of merchant annual inspection work orders, shortening the review cycle, improving review efficiency, enhancing the standardization and objectivity of the review process, and further improving the accuracy of the review results. The method includes: automatically logging into a merchant annual inspection work order system through a robotic process automation system to obtain a target annual inspection work order for a target merchant and a corresponding image for review of the target merchant. The target annual inspection work order includes the annual inspection items to be reviewed and the registration information of the target merchant. The image for review is processed using a visual large-scale model based on preset information processing rules to obtain structured information corresponding to the annual inspection items to be reviewed. The structured information and registration information are compared according to preset review rules for the annual inspection items to be reviewed to generate the review result for the target merchant.

The invention relates to the technical field of computer processing, and particularly discloses an oil and gas ground construction engineering project auxiliary review method based on natural language processing, and the method comprises the steps: obtaining a preliminary review material for the preliminary design of an oil and gas ground construction project; performing natural language recognition and content extraction on the pre-audit material based on a pre-trained large model to obtain pre-audit content; performing review analysis on the pre-review content based on a pre-review standard to obtain an analysis result; under the condition that the analysis result is that the pre-examination is passed, obtaining preliminary design data; performing natural language recognition and content extraction on the preliminary design data based on the large model to obtain preliminary design content; and performing review analysis on the preliminary design content based on a design standard to generate a project review result. An existing project review process is optimized by using a natural language recognition technology, so that the review efficiency is improved, and the review comprehensiveness and accuracy are improved.

The invention discloses a document compliance auditing data management system and method based on artificial intelligence, and relates to the technical field of document auditing, and the management method comprises the following steps: recording the compliance auditing process of any document, and generating a corresponding auditing log; performing auditing analysis on any auditing log, generating an auditing result and feeding back the auditing result; performing abnormal feature extraction and division on the corresponding documents according to preset feature types to obtain abnormal feature sets of the corresponding documents; analyzing association conditions among different features; simulating the causal relationship between the associated features to obtain effective causal feature pairs; generating an actual causal relationship based on an audit result fed back by any effective causal feature; abnormal features existing in the actual document auditing process are recognized, and abnormal traceability is conducted on the abnormal features; the subjectivity and omission risk of manual auditing are effectively reduced, and the auditing efficiency and accuracy are greatly improved.

This invention provides a contract review assistance system, method, and storage medium. By constructing a four-layer architecture of "main agent - sub-agent - toolset - data resource layer," intelligent processing of contract review and related business scenarios is achieved. This architecture not only improves the flexibility and collaborative efficiency of task processing but also reduces reliance on manual intervention and error rates. Thus, it achieves an efficient, accurate, and structured review process through intelligent means, thereby improving the processing efficiency of contract review and related business scenarios. This solves the technical problem that existing contract review methods cannot fully meet the core review needs of the contract marketing and risk control domains, leading to low contract review efficiency.

The application relates to the field of artificial intelligence and natural language processing technology, in particular to a document intelligent review method and system based on a multi-modal artificial intelligence and a rule engine, which solves the problems that an existing review scheme driven by a pure rule engine lacks semantic understanding and cannot understand context, a review scheme model based on a traditional natural language processing model has limited model generalization ability and still needs a large amount of feature engineering, a scheme based on a pure large language model for direct review has untraceable and unverifiable results, and the scheme has high delay and high cost, and the application comprises a document preprocessing and analysis module, a rule intelligent analysis module, a key information intelligent extraction module and a collaborative intelligent review engine. The application positions a large language model LLM as an enhanced component of a rule engine, utilizes the capability of the large language model LLM to understand natural language rules, extract complex information and perform deep semantic reasoning, and the framework of the whole review process, the final output of decision and the accurate positioning of results are dominated by the controllable and explainable rule engine.

This invention discloses a closed-loop optimization method and system for contract review based on weak user feedback. The key technical points are: the system includes: a user input interface; a contract parsing module; a review logic initialization module; a review model module; an error history retrieval module; a result correction module; a user feedback storage module; and a closed-loop optimization module. This invention improves the accuracy and efficiency of contract review through an intelligent review process. By automatically parsing contract text, matching review checklists, applying dynamically optimized review logic, and combining a large language model to perform risk analysis on contracts, the system can not only identify potential problems but also continuously adjust the review logic based on weak user feedback, forming a closed-loop optimization. This method can flexibly adjust review rules according to contract characteristics, industry needs, and regulatory changes, thereby providing users with more accurate and personalized review services and continuously improving review effectiveness through the accumulation of feedback.

The application discloses a document auditing method and device based on large model and rule engine cooperation, the method comprises the following steps: analyzing an original document to form an intermediate representation file; extracting entities from the intermediate representation file to form an entity candidate set; inputting a thinking chain prompt word into a large model to obtain a first triple, a first confidence and a first risk level, and calculating a first traceable score of the large model according to a reasoning path node; using a rule engine to make a deterministic judgment to obtain a second triple, a second confidence, a risk level and a second traceable score; calculating two weighted voting values and obtaining a conflict difference value by taking the difference; when the conflict difference value is less than a preset judgment threshold, taking the conclusion corresponding to the high weighted voting value as the final conclusion; otherwise, starting an artificial review process; and generating an auditing report in multiple formats. The method takes advantage of the strong language understanding ability of the large model and the strong certainty of the rule engine, and avoids the problems of missed review or excessive marking.

The invention provides a title review process management method and system, and relates to the technical field of review process management, and the method comprises the steps: constructing a database for storing historical review features, obtaining to-be-reviewed data, extracting the features of the to-be-reviewed data to obtain to-be-reviewed features, and carrying out the preliminary review through a preset review rule to obtain a preliminary review result; if the preliminary review result conforms to the expectation, calculating a first similarity between the to-be-reviewed feature and a working class sub-feature in the historical review feature, and if the preliminary review result does not conform to the expectation, sending out a material doubt signal; and judging whether the first similarity is greater than a first preset similarity threshold and less than 1, if so, sending a material doubt signal, and otherwise, sending a material legal signal. The review efficiency can be improved.

Embodiments of the present specification provide a document auditing method and a legal document auditing method, wherein the document auditing method comprises: obtaining a to-be-audited document; performing type identification on the to-be-audited document to obtain a document type of the to-be-audited document; determining a document auditing list of the to-be-audited document according to the document type, wherein the document auditing list comprises a plurality of auditing rules corresponding to the document type, and the plurality of auditing rules are different in auditing dimensions; and respectively utilizing the plurality of auditing rules to perform auditing on the to-be-audited document to obtain a document auditing result of the to-be-audited document. By adopting the idea of divide and conquer, the document auditing list is disassembled into a plurality of auditing rules different in auditing dimensions, precise document auditing for different auditing rules is realized, and when the document is audited by using each auditing rule, the complete to-be-audited document is audited, so that the auditing process can be flexibly analyzed according to the context of the to-be-audited document, and the accuracy of the document auditing is further improved.

This invention discloses a method, apparatus, device, and medium for implementing an intelligent quality valve in the requirement submission process, relating to the field of requirement process quality review in fintech. The method includes: acquiring a requirement description and uploading it to a created large-scale intelligent platform; expanding the document based on comparison with existing similar requirements and performing standardization processing to fill in missing elements, generating a requirement document; acquiring voice data from requirement review meetings and uploading it to the large-scale intelligent platform; analyzing the voice data to generate a requirement review meeting summary and submitting the summary to a DevOps platform; creating a requirement review model, which uses retrieval enhancement technology to acquire private domain data in real time to review the requirement document currently awaiting review. This application enables automated review operations, significantly reducing the burden of manual review and improving the accuracy and efficiency of the review process.

The invention relates to the field of project management, in particular to an intelligent project quantity list review method, which comprises the following steps of: extracting each factor point influencing project completion settlement in a historical project according to a historical database, and screening each key influence factor point influencing project completion settlement in the project through calculation; the project amount completion settlement list is imported from the project management system through the data interface, then standardization processing is carried out on the project amount completion settlement list according to all key influence factor points influencing project completion settlement in the project, and finally data abnormal points of the project amount completion settlement list after standardization processing are recognized. According to the technical scheme, the method can be used for assisting review personnel to better understand the condition of an engineering project and find potential problems and abnormities, meanwhile, the digital system can record each step and decision in the review process, subsequent supervision and auditing are facilitated, the fairness and compliance of the review process are ensured, multi-person real-time cooperative operation is achieved, and the working efficiency is improved.

The application discloses a document compliance auditing data management system and method based on artificial intelligence, relates to the technical field of document auditing, and comprises the following steps: recording the compliance auditing process of any document, generating a corresponding auditing log; auditing and analyzing any auditing log, generating an auditing result and feeding back; extracting abnormal features of the corresponding document according to preset feature categories and dividing the corresponding document to obtain an abnormal feature set of the corresponding document; analyzing the association between different features; simulating the cause-effect relationship between the associated features to obtain effective cause-effect feature pairs; generating an actual cause-effect relationship based on the auditing result fed back by any effective cause-effect feature; identifying abnormal features existing in the actual document auditing process, and performing abnormal traceability on the abnormal features; effectively reducing the subjectivity and omission risk of manual auditing, and greatly improving the auditing efficiency and accuracy.

The application discloses a kind of power grid infrastructure project intelligent auxiliary review system, it is related to power grid engineering construction management and information technology field, the system includes data management platform and review workstation module, panorama board module, project pre-examination module, expert dispatching module, project review module, project closing module, data archiving module and intelligent question and answer module.System is carried out unified management to power grid infrastructure project data, review expert information and review process data by data management platform, and automatically checks project data by project pre-examination module;Intelligent matching and task arrangement of review expert are realized by expert dispatching module;Through review workstation, review expert and project management special responsibility carry out task management, online collaboration;Project review progress, key indicators, review personnel bearing capacity and the like information are shown through panorama board;Review problem closed loop processing and review opinion online preparation are completed through project closing module, and review database that can be traced, can be mined is formed through data archiving module.

The invention discloses a financial reimbursement intelligent auditing system and method based on a large model, and relates to the technical field of informatization. Comprising the following steps: step 1, obtaining audit data through a front-end interface: obtaining an attachment to be audited carrying a bill number, form information and a flow name; 2, extracting attachment information; 3, matching an auditing rule and executing the steps of presetting the auditing rule which covers invoice types, invoice expiration, invoice details and information whether attachment uploading is complete or not; matching preset auditing rules according to the cost items, performing auditing one by one according to the form information and the attachment information, and checking whether the reimbursement receipts meet various rule requirements or not; and 4, generating and storing an auditing report: after the auditing is completed, pushing the business document for manual reauditing, automatically generating the auditing report, the report content comprising problems found in the auditing process, specific conditions conforming to or not conforming to the rules, and translated Chinese file link information, and the auditing result of each rule is displayed in the form of a table.

The invention discloses a nuclear power plant maintenance program file intelligent review method and system based on a large model and a computer program product. The method comprises the following steps: S1, establishing a structured maintenance knowledge base; s2, obtaining a to-be-examined maintenance program file, and distributing the to-be-examined maintenance program file to a plurality of processing nodes of the large model; controlling a plurality of processing nodes to review different modules of the to-be-reviewed maintenance program file in parallel according to the maintenance knowledge base so as to generate review results of the modules; and S3, integrating the review results of the modules to generate a review report. By implementing the technical scheme of the invention, professional maintenance knowledge can be precipitated, examination experience is standardized, and a reliable basis is provided for intelligent examination; and the large model is used for parallel review based on the maintenance knowledge base, so that the review quality can be improved, omissions and subjective deviations in a manual review process are avoided, the review time is shortened, and the review efficiency is improved.

The invention discloses a calibration-based PDF (Portable Document Format) document page number range matching method and system. The method comprises the following steps: acquiring a PDF bidding document to be analyzed; converting the PDF bidding document into an editable bidding document with a reserved text content style structure, and performing page number calibration and directory calibration on the editable bidding document to obtain a standardized bidding document; obtaining a target review item for the bidding document, performing retrieval in the standardized bidding document based on at least one retrieval mode, and obtaining a page number range where a text associated with the target review item is located; and combining retrieval output contents obtained in the catalog and / or the text of the standardized bidding document in at least one retrieval mode to obtain an effective review page number range of the target review item. According to the method, effective review text content is positioned for expert review or AI simulation expert review, so that the review process can focus on related content to generate a review conclusion, and the review efficiency is improved.

The invention discloses a multi-agent collaborative intelligent review method and system, and belongs to the technical field of building engineering construction. The method comprises the following steps: obtaining a standardized text Tn; inputting Tn into a large language model, calculating a classification probability pi result and a confidence coefficient rho, and determining a project type; according to the project type, matching a corresponding review rule subset from a rule base; calculating a score sij of each item, a score Si of each dimension and a total score Stotal; generating a question list and an improvement suggestion set; generating improved content; and outputting the review report. According to the method, natural language understanding, logical reasoning and text generation capabilities of a large language model are utilized to simulate an expert review process, and rapid classification, deep review, quantitative evaluation and content optimization of the construction scheme are realized, so that the intelligent level, review efficiency and risk identification accuracy of construction scheme review are improved.

This invention belongs to the field of industrial big data technology, specifically an artificial intelligence-based review system for technical upgrading and overhaul projects. Addressing the problems of existing review processes—such as reliance on human experience, inconsistent standards, severe data silos, weak optimization capabilities, lack of systematic simulation verification, difficulty in quantifying synergistic effects and lifecycle benefits, low efficiency in compliance review, and the inability to continuously accumulate and evolve knowledge—this invention proposes the following solution: It includes a data acquisition module connected to a data processing module, which in turn is connected to a data tracking module; and a knowledge graph construction module. This invention integrates industrial big data to construct a dynamic knowledge graph, driving intelligent optimization deduction and digital twin simulation. This enables fully automated review and continuous self-optimization of the technical, economic, compliance, and environmental benefits of technical upgrading and overhaul projects, comprehensively improving the scientific rigor, efficiency, and systematic decision-making capabilities of the review process.

This application discloses a code review method and a computer program product. The method includes: obtaining target code and its description information; inputting the target code and description information into a code review model, and sequentially performing multiple review processes at different levels in ascending order of review level to obtain the review result of the target code; wherein, the review process includes reviewing the input of the review process based on the review indicators of the corresponding review level, identifying faulty code segments, the input of the first level of review process is the target code and description information, and the input of the remaining review processes is the faulty code segments output by the previous level of review process; the level of review is positively correlated with the severity of the fault represented by the review indicators corresponding to the review level. This method can effectively improve review efficiency while ensuring a comprehensive review of the target code and description information.