42 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 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 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 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.

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 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.

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.

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.

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 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.

The application discloses a kind of based on calibration PDF document page range matching method and system, the method includes: obtaining the PDF tender document to be analyzed;PDF tender document is converted into editable tender document with the style structure of text content reservation, and the page number calibration and directory calibration are carried out to editable tender document, obtain standardized tender document;Acquire target review item for tender document, at least one search mode is searched in standardized tender document, obtain the page number range where the text associated with target review item is located;The search output content obtained in the directory of standardized tender document and / or text under at least one search mode is combined, and the effective review page number range of target review item is obtained.The application realizes the positioning effective review text content for expert review or for AI simulates expert review positioning, so that review process can focus on relevant content to generate review conclusion, improve review efficiency.

This invention relates to a multimodal intelligent review method for communication documents, specifically in the field of artificial intelligence. By performing deep fusion analysis of visual and linguistic elements on images of communication bidding documents, a document knowledge network rich in semantic associations is constructed. It then simulates expert thinking for automated reasoning and verification, accurately understanding complex content such as mixed text and images, and stamped annotations. This transforms unstructured information into a computable knowledge graph and supports rule-based and vector-based intelligent retrieval, significantly improving the objectivity, accuracy, and efficiency of the review process. It achieves automatic extraction of review elements, verification of logical consistency, and deep semantic querying, providing reliable and interpretable intelligent decision support for communication project review.

The embodiment of the invention provides a nuclear power plant design review management method and device based on a block chain, equipment and a storage medium. The method comprises the steps that an owner serves as a core node, and an alliance chain architecture is established according to the review process of nuclear power plant design; the method comprises the following steps: based on an owner review specification, performing step decomposition on a review process of nuclear power plant design by using an intelligent contract to obtain atomic-scale operation steps, and binding the atomic-scale operation steps with an alliance chain architecture to generate a forced mapping rule set; encrypting generated data corresponding to the atomic-scale operation steps based on the forced mapping rule set, and storing the encrypted data to the alliance chain; and constructing a visual interface according to the alliance chain, and visualizing the review process. The information barrier is fundamentally eliminated, a multi-party cooperation trust basis based on cryptography is established, and the decision-making efficiency and the penetration-type supervision capability are greatly improved.

The application discloses a kind of dynamic rule driven multi-field review method and system, belong to intelligent review technical field;Including: dynamic rule engine configuration, expert management configuration, automatic grouping matching, expert online review and general meeting voting;Realize cross-project type, cross organization department, cross business scene full-dimension coverage.No matter is talent selection, scientific research project technical evaluation, or title review, can be based on the same platform to complete the dynamic construction and flexible adjustment of differentiating review process, effectively improve the review efficiency and scientificity, provide standardized, intelligent technical solutions for multi-agent, multi-scene collaborative review business;Solve the problems of the current review system in process rigidification, weak function, extensive management, transparency loss and security vulnerability.

This invention discloses an automated contract text review method and system based on unified clause modeling, belonging to the field of contract review technology. The specific steps of the review method are as follows: Ⅰ. Accessing a third-party credit reporting agency or credit rating platform to extract credit information of both parties to the contract for credit investigation and review; Ⅱ. Establishing initial contract templates categorized by economic transactions and extracting key contract information using NLP technology. This invention can quickly identify and select the best rule from a large number of detection rules, significantly improving review efficiency, reducing the time required for manual intervention, making the review process more flexible, adapting to the specific needs of different contracts, and comprehensively identifying potential risks in contracts. It helps reviewers promptly identify high-risk clauses, reduces legal risks in contract performance, protects the interests of universities, and provides more robust risk control and compliance guarantees for universities. Furthermore, through integration with accounting systems, it monitors contract performance, ensures contract compliance and enforceability, and improves the transparency and traceability of contract management.

The invention relates to the technical field of document review, and particularly discloses a quality document self-adaptive review system and method. The system comprises a workflow and rule strategy configuration module which is used for constructing an examination strategy space; the input module is used for inputting a to-be-examined quality document; the task state sensing module is used for identifying a current input quality document and generating a task embedding vector; the multi-channel feedback generation module executes feedback from three channels of model evaluation, business income and manual review; the unified reward fusion module is used for performing unified calculation on the multi-dimensional feedback signals; the reinforcement learning strategy optimization and online self-calibration module is used for performing self-adaptive optimization of an examination strategy; the strategy updating and publishing module is used for updating the optimization strategy parameters to an examination strategy space; the document review module is used for executing a review process; and the output module outputs a review result. The method is oriented to the equipment manufacturing industry and the energy industry, and has the technical characteristics of self-adaptive optimization examination strategy and high intelligent degree.

This invention discloses a dynamic weight-based electronic bidding risk early warning system and method, specifically relating to the field of bidding supervision. It addresses the shortcomings of existing electronic bidding processes, such as the lack of dynamic correlation analysis of review behavior, difficulty in timely identification of clause-induced review deviation risks, and insufficient accuracy of risk warnings. By analyzing the clause nodes of the bidding documents, the project complexity level, and the supplier's proposed text to generate basic risk weights, and combining this with the reviewer's clause access behavior trajectory during the review process to generate clause traction strength, a normal traction fluctuation envelope is constructed based on the scheme text difference, historical questioning frequency, and historical rejection frequency. This allows for dynamic risk identification of continuously increasing clause-induced behavior. Simultaneously, risk matching is performed using historically identified cases of bid rigging, abnormally low-price bids, and qualification abnormalities, achieving real-time early warning and dynamic supervision of abnormal review behavior during electronic bidding.

The application discloses a method for expert review based on a consortium chain, and relates to the technical field of academic review, which comprises the following steps: S1: the central organization invites the review experts to join the network; the method for expert review based on the consortium chain can assign a unique identification to academic achievements through a smart contract, the smart contract calls an expert matching algorithm and an expert node random selection algorithm to match k expert nodes for the academic achievements, and sends the academic achievements to the expert nodes to wait for the expert nodes to return the review results; the expert nodes review the academic achievements, score the academic achievements from three aspects of innovation, integrity and writing level, call the smart contract to return the review scores and review opinions, the smart contract collects the expert review results according to the unique identification of the academic achievements, calls an academic achievement review algorithm to obtain the final review result, and automatically distributes the academic achievements to the experts in this field for review, so that the distribution is not needed manually, and thus the expert review process is optimized.

The disclosure provides a layered code review method and system based on Agentic AI evidence chain reasoning, relating to the technical field of artificial intelligence. The disclosure obtains a review result by performing multi-level review on code data; performs evidence chain reasoning on the review result to obtain a target evidence chain corresponding to the review result; performs repair analysis on the review result based on the target evidence chain to generate a target repair suggestion corresponding to the review result; performs multi-path verification on the review result to obtain a target confidence of the review result; and generates a review report of the code data according to the review result, the target evidence chain corresponding to the review result, the target repair suggestion, and the target confidence. The review report is generated based on the collaborative mechanism of layered review, evidence chain reasoning, repair suggestion, and multi-path verification, realizing a multi-dimensional intelligent review process of the code data, improving the explainability and reliability of the review result, and meeting the requirements of current code review for efficiency, accuracy, and reliability.

This invention discloses an intelligent contract review method and system based on artificial intelligence, relating to the fields of computer and artificial intelligence technologies. The method includes: receiving and parsing contract documents to obtain structured text data and contract type; automatically extracting multiple key clauses based on the contract type; performing compliance review and difference comparison on the key clauses to generate intermediate review results containing risk points and modification suggestions; dynamically analyzing the clause content in the intermediate review results, determining the responsible party for review according to preset rules, and automatically generating and assigning independent review sub-tasks to corresponding review terminals; completing the review process based on feedback from the review terminals, and structurally storing the results in a contract knowledge base. The system includes modules for document parsing, intelligent analysis, task assignment, and knowledge base management. This invention achieves automation, intelligence, and collaboration in contract review, significantly improving review efficiency, risk identification accuracy, and process traceability, and promoting the accumulation and reuse of enterprise contract knowledge.

The invention discloses an intelligent science and technology project compliance review method, system and device based on case enhancement and a medium, and belongs to the technical field of compliance review, and the method comprises the steps: obtaining a structured review rule set; performing analysis processing on the science and technology project document to be examined to obtain structured text data, structured table data and document association relationship data; performing semantic analysis processing constrained by rules on the structured text data and the structured table data to obtain semantic element information, logic relation information and field entity information; performing rule conversion processing on the semantic information to obtain a formalized rule; constructing a cross-document element association relationship, and executing cross-document closing and specification checking to obtain a cross-document review result; and obtaining compliance examination result data, and outputting the compliance examination result data. According to the method, a complete review process from rule construction, semantic analysis, rule execution to result output is formed.

This invention relates to the field of data processing, specifically to an automatic review method and apparatus for construction plans. This application utilizes building type identifiers to accurately obtain corresponding construction specification knowledge graphs, thereby training a large language model and injecting a powerful professional knowledge core into the review process. In the construction plan review process, the trained large language model can extract multimodal features from the content of each construction stage, changing the inefficient mode of manually reviewing documents word by word and significantly improving review efficiency. Simultaneously, the model's correlation analysis and scenario simulation capabilities are utilized, enabling comprehensive and in-depth uncovering of hidden risks and simulating different construction scenarios. Finally, the review report generated based on the analysis results clearly presents potential problems and risks, providing strong decision-making support for construction projects. This fundamentally solves the problems of excessive reliance on human experience, low efficiency, strong subjectivity, and shortcomings in risk analysis and scenario simulation in existing construction plan reviews.

The application relates to the technical field of document analysis, and provides a document review blind area detection method and device, electronic equipment and a storage medium, the method comprising the following steps: performing semantic unit division on a target document to be reviewed, and constructing a semantic topology structure based on logical dependency relationships between the semantic units obtained through the division; performing traversal mapping in a regulation knowledge graph based on the semantic topology structure, obtaining a specification node set that should be met by the target document, and generating a theoretical review path according to the specification node set; obtaining specification nodes actually triggered by the target document in a review process, forming an actual review path; calculating a difference set between the theoretical review path and the actual review path, and taking the difference set as a review blind area of the target document. Through difference analysis of the theoretical review path and the actual review path, implicit risks such as rule mismatching, missing of a review path or semantic mapping failure can be identified, so that effective evaluation of the completeness of document review coverage is realized.