231results about How to "Improve review efficiency" patented technology

The invention discloses a medical record quality management system and method, and relates to the technical field of medical information processing, and the method comprises the steps: collecting medical record data, and carrying out the preprocessing of the collected medical record data; analyzing the preprocessed medical record data by adopting an NLP, and extracting a medical record core field through an NER; constructing a dynamic medical knowledge graph, and matching the dynamic medical knowledge graph with the medical record core field; after matching is completed, a graph reasoning algorithm is used for conducting logic consistency verification on the medical record, logic contradiction points are marked, and a verification result is generated; and generating a medical record quality auditing report according to the verification result. According to the method, the dynamic medical knowledge graph is constructed and matched with the core field of the medical record, and the graph reasoning algorithm is adopted to perform logic consistency verification on the medical record, so that the intelligence and precision of medical record quality management are realized.

The invention discloses an automatic contract text auditing method and system based on clause unified modeling, and belongs to the technical field of contract auditing, and the auditing method comprises the following specific steps: I, accessing a third-party credit investigation mechanism or a credit rating platform to extract the credit information of both parties of a contract, and carrying out the credit investigation and auditing of the both parties of the contract; iI, establishing an initial contract template classified according to economic businesses, and extracting contract key information through an NLP technology; the optimal rule can be quickly identified and selected in a large number of detection rules, the auditing efficiency is remarkably improved, the time required by manual intervention is shortened, the auditing process is more flexible, the method can adapt to specific requirements of different contracts, potential risks in the contracts can be comprehensively identified, auditing personnel can be helped to find high-risk terms in time, and the contract auditing efficiency is improved. The law risk in contract fulfillment is reduced, the benefits of colleges and universities are protected, more stable risk control and compliance guarantee are provided for the colleges and universities, the contract fulfillment condition is monitored through integration with an accounting system, the compliance and the executive force of the contract are ensured, and the transparency and the traceability of contract management are improved.

The invention discloses an auxiliary code review method and system based on a large language model, and the method comprises the steps: analyzing a submitted code file based on a static analysis technology and an abstract syntax tree AST extraction tool, and extracting key elements; reviewing the code through a pre-constructed company internal and external knowledge base by relying on a knowledge graph technology to obtain a reviewing result; performing context analysis on the code by adopting a large language model to obtain an analysis result; integrating the review result and the analysis result, and generating a review report through NLP; a containerization technology is adopted to be integrated with plug-ins of mainstream development tools, and private deployment is supported. According to the method, the efficiency, accuracy and safety of code review can be greatly improved, the workload of manual review is reduced, and automation and intelligentization of the code review process are realized.

The invention discloses an intelligent medical and invasive project evaluation method and system based on natural language processing. The method comprises the steps that professional corpora of multiple sources of an intelligent medical and invasive project are collected; the knowledge graph construction module comprises a term library construction module, a term clustering module and a relationship construction module; taking the professional corpus as a core to construct a professional word library; segmenting the professional lexicon into a plurality of clusters with professional terms as the center; constructing a knowledge graph by taking vocabularies in the clusters as nodes; and constructing an intelligent evaluation module which comprises an intelligent scoring module and an intelligent evaluation module, and outputting AI comments. According to the invention, the project plan is automatically processed through a natural language processing technology, so that the auditing efficiency is greatly improved; and in combination with a knowledge graph technology, a professional knowledge base is systematically constructed, background knowledge support is provided for a large language model, and the professionality and consistency of evaluation results are ensured.

The invention discloses a multi-modal security fence method based on vector matching. The method comprises the following steps: acquiring to-be-audited information, loading a pre-training model set, vectorizing the to-be-audited information, and generating to-be-audited vectors; the to-be-audited information comprises a live broadcast real-time stream and a newly added media file; establishing connection with a violation vector database set, wherein the violation vector database set comprises vector features of various types of violation data; according to the violation vector database set, obtaining the compliance similarity of the to-be-audited vector, and judging whether the to-be-audited information is safely broadcasted or not; the pre-training model set is composed of a text vector model, a picture vector model and a tone vector model, and is used for generating vector information from various types of to-be-audited information. According to the technical scheme, the text, the picture, the audio and the video of the media asset can be detected, intercepted and modified in all directions, the broadcasting safety is ensured, the content auditing efficiency is greatly improved, and the broadcasting safety is ensured.

The invention provides a construction scheme auditing method and device, equipment and a storage medium, and relates to the technical field of building construction. The method comprises the steps of obtaining a to-be-audited construction scheme, and determining a scheme format of the to-be-audited construction scheme; determining a target analysis strategy the same as the scheme format; performing analysis processing on the to-be-audited construction scheme by using the target analysis strategy to obtain an analysis scheme corresponding to the to-be-audited construction scheme; determining a target scheme auditing strategy based on the target scheme identifier of the analysis scheme; and performing auditing processing on the analysis scheme by using the target scheme auditing strategy to obtain an auditing result corresponding to the to-be-audited construction scheme. According to the embodiment, the defects that in the prior art, manual construction scheme auditing depends on, efficiency is low, and accuracy is low are overcome, the construction scheme to be audited is automatically audited through the target auditing strategy in the auditing strategy library, the auditing result is automatically generated, and auditing efficiency and auditing accuracy are greatly improved.

The invention relates to the technical field of issuing management, in particular to an international standardization organization file issuing management system and method, and the system comprises a document content auditing module, a permission dynamic adjustment module, a manual auditing distribution module, a manual operation auditing module, a standard reference updating module and a file issuing module. According to the method, the standardization and accuracy of the file are ensured by analyzing the deviation between the format and the structure of the file, the auditing efficiency and the auditing quality are improved by distributing the file to the auditing personnel with the matched authority and performing priority ranking based on the sensitivity of the file type, and the auditing efficiency and the auditing quality are improved by monitoring the file revision operation and identifying the abnormal operation behavior. According to the file issuing management method and device, the safety and traceability of the file are improved, the timeliness and accuracy of the file content are ensured by updating expired and wrong content reference, the file issuing management efficiency is effectively improved, the risk of human errors is reduced, and accurate transmission and compliance of information are ensured.

The invention discloses an automatic auditing system and method for road engineering completion settlement. The system comprises a data acquisition and integration module; a data preprocessing module; a settlement index construction module; an intelligent auditing engine; an abnormity early warning and tracing module; a settlement result management module; and a data analysis and optimization module. The auditing method comprises the following steps: S1, collecting and integrating multi-source settlement data; s2, big data preprocessing; s3, constructing a settlement auditing index system; s4, performing intelligent automatic auditing; s5, performing abnormal early warning and tracing; s6, managing settlement results; and S7, performing big data driving optimization. According to the invention, multi-source data intelligent integration, full-process automatic auditing, abnormal accurate tracing and dynamically optimized big data driven settlement auditing can be realized; the method is applied to whole-process management of road engineering completion settlement, and data-driven intelligent auditing and continuous optimization control are realized in the process.

The invention relates to the field of artificial intelligence and financial science and technology, and provides a cross-border document image auditing method, device and equipment and a storage medium, and the method comprises the steps: obtaining a plurality of cross-border document images of a target cross-border business; classifying the cross-border document images through a preset integration model to obtain a document image category of each cross-border document image; performing character recognition on the cross-border document images through a preset character recognition model to obtain document character content contained in each cross-border document image; performing information extraction on document text content contained in each cross-border document image based on an information extraction rule of each document image category to obtain document key information of each cross-border document image; and each piece of document key information is audited based on a preset general large language model to obtain an audit result of the target cross-border business, and the audit result comprises passing of audit and non-passing of audit. According to the embodiment of the invention, the checking efficiency and checking accuracy of the cross-border document image can be improved.

The invention discloses a code review method, system and device, a storage medium and a program product, and the method comprises the steps: cleaning a to-be-reviewed code snippet, and obtaining an incremental code snippet and position information; vectorizing the incremental code snippets; semantic query is conducted on the vectorized incremental code snippet data based on an ES database according to the cosine law, development rules of similar semantics are obtained and ranked from high to low according to similarity values, and a preset number of first several snippets are obtained; recombining cue words, wherein the recombining cue words comprise incremental code snippets and a preset number of development rules; and sending the recombined cue word to a general generative large model to obtain an examination suggestion. The code snippets to be examined are pushed to the gilab warehouse by a developer, and are cleaned by the gilab warehouse through webhook triggering. According to the review method, the whole process is automatic, the review efficiency is high, review can be conducted according to the development rules in the team, knowledge sharing is achieved, the review result is objective, and the problem that the text exceeds the upper limit is avoided.

The invention relates to the field of image processing, and provides a double-recording video anomaly detection method, which comprises the steps of determining at least one quality inspection point of a to-be-detected double-recording video based on a target detection frequency; in the to-be-detected double-recording video, acquiring a video frame corresponding to the quality inspection point as a to-be-detected video frame; determining a corresponding target detection model based on the scene content corresponding to the to-be-detected video frame; and performing abnormal behavior detection on the to-be-detected video frame based on the target detection model. And based on the scene content of each to-be-detected video frame, the corresponding deep learning model is adopted as a target detection model to perform abnormal behavior detection of each to-be-detected video frame, so that the deep learning model is adopted to identify and judge the user behavior of the insurance double-recording scene in the to-be-detected double-recording video, manual auditing is not needed, and the user experience is improved. The labor cost is reduced, and the auditing efficiency and accuracy of the double-recording video are improved.

The invention discloses a work order auditing management method and system based on a large language model and a medium. The method comprises the steps of receiving input and correspondingly matching a work order auditing rule; based on the matched work order auditing rule, analyzing and processing the input through a large language model NLP, and converting the input into a natural language rule; carrying out synonym and antonym conversion on input white words, and carrying out equal rule conversion on converted words based on a corpus word library; performing rule text and code conversion on the converted natural language rule; and carding the processed rules into SQL statements which can be identified by the system according to the fields and the judger rule base. Updating the rule knowledge base; and writing the processed SQL statements which can be identified by the program into a rule knowledge base. According to the method, non-technical personnel can adjust and modify the work order information verification rule by using a natural language by using a large language model technology, so that the intelligent level of a work order system is enhanced, the development cost of the system is reduced, the auditing efficiency of a work order process system is improved, and the method has relatively good practicability.

The invention discloses an online knowledge base platform for ensuring knowledge content quality and contributor rights and interests and a business model of the online knowledge base platform, and relates to the field of online knowledge bases. The platform integrates block chains, data encryption and artificial intelligence technologies, and aims to improve the quality of knowledge content and protect the rights and interests of contributors. The platform mainly comprises a block chain system, a data encryption system, an artificial intelligence system, a member management system, an auditor evaluation system, a knowledge content collection system, a knowledge content auditing system, an incentive management system, a template management system, a fund management system, a suggestion supervision system, a point transaction system, an advertisement management system and the like. Through a decentralized knowledge management mechanism, a contributor auditing and evaluating mechanism, a knowledge content providing and auditing mechanism and a contributor right protection mechanism, high quality of knowledge base content and fair reward of contributors are ensured, and sharing and communication of knowledge are promoted.

The invention relates to the technical field of audio auditing, in particular to an intelligent audio auditing method and system based on voice recognition. A sensitive pinyin group and a similar pinyin group corresponding to a sensitive word set are firstly determined, and then voice recognition is performed to obtain a corresponding character field; splitting and recombining the character fields to obtain character phrases, and obtaining character pinyin groups of the character phrases; judging whether a character pinyin group consistent with the sensitive pinyin group or the similar pinyin group exists or not; if the sensitive pinyin group or the similar pinyin group exists, marking the character pinyin group consistent with the sensitive pinyin group or the similar pinyin group as a target pinyin group, and sending the target pinyin group and the corresponding position information to an auditing terminal for re-checking, so that the auditing accuracy is ensured; the auditor only needs to recheck the target pinyin group and the corresponding position information; the auditing efficiency is improved, and the auditing accuracy is higher by adopting a pinyin comparison mode.

The invention relates to an insurance slip anti-counterfeiting method based on a two-dimensional code, and the method comprises the steps: obtaining insurance slip data information which comprises an insurance slip number, a product code, an insurance applicant name and an insurance applicant identity certificate number; obtaining a unique identity identifier of a business operator, and performing MD5 hash operation on the identifier to generate a signature string; the generated signature string is used as an encryption key, the insurance slip data information is used as an encryption original text, and encryption operation is carried out to generate an encrypted data string; and converting the generated encrypted data string into two-dimensional code graph data, and embedding a two-dimensional code graph into the insurance slip to form the insurance slip of the anti-counterfeiting two-dimensional code graph. By encrypting the insurance policy information and generating the two-dimensional code, the insurance policy content is effectively prevented from being tampered and counterfeited, the security and authenticity of data are ensured, the anti-counterfeiting performance of the insurance policy information is improved, the workload of manual auditing is reduced, the auditing efficiency is improved, and the risk in the business process is reduced.

According to the method for analyzing the consistency of the achievement and the target of the medical and invasive project, the consistency of the achievement and the project establishment target of the project is automatically evaluated by integrating a large language model and a local knowledge base. The method comprises the following steps: importing a project approval book text into a knowledge base to construct a semantic database; performing topic reconstruction on the project approval book and the project achievement text, extracting keywords and forming semantic chunks (Chunk); searching Top k text blocks most related to the project achievement in a semantic database; and finally, inputting the text blocks and the project achievements into a large language model, and generating a consistency evaluation result. According to the method, long text matching is optimized, the examination and verification efficiency and accuracy of the medical and invasive project are improved, meanwhile, off-line deployment is supported, data security and privacy are guaranteed, and the transparency and credibility of examination and verification are improved.

The invention discloses a text review method and system, a terminal and a medium, and the method comprises the steps: obtaining an original text, and processing the original text to obtain a processed text; performing object extraction on the processed text to obtain a plurality of extraction objects; carrying out local evaluation, global evaluation and industry evaluation on a plurality of extraction objects in the plurality of extraction objects through the optimized large language model, and respectively obtaining a local evaluation result, a global evaluation result and an industry evaluation result of each extraction object; and obtaining an overall evaluation result of the original text according to the local evaluation result, the global evaluation result and the industry evaluation result. According to the method, the review efficiency can be improved, the review quality is improved, the review process of multi-expert cooperation is simulated, and effective integration and complementation of knowledge in different fields are realized.

The invention discloses an intelligent document auditing method and system based on multiple rule libraries, and relates to the technical field of intelligent document auditing. According to the intelligent document auditing method and system based on the multiple rule libraries, the rule library matching features of the document content are recognized by combining natural language processing through optical character recognition and format analysis technologies, key information of the document can be effectively extracted, and a basis is provided for subsequent rule matching. And loading and selecting a plurality of rule libraries in the database for matching auditing. In the rule matching auditing process, multi-dimensional feature analysis and rule classification are carried out on the document content through a random forest algorithm, so that the document content which does not accord with rule matching is identified and marked. And comparing the marked document content with the overall structure of the document through a support vector machine algorithm, identifying logic conflicts in the document, and carrying out secondary marking on the logic conflicts. The consistency and logicality of the interior of the document are ensured, and the accuracy and comprehensiveness of auditing are further improved.

The invention relates to an intelligent auditing method for insurance data, and the method comprises the steps: obtaining client verification data which comprises an identity card picture and a target insurance voucher picture, and is used for auditing insurance handling data; and identifying the customer verification data by using a pre-trained identification model, and generating a verification data identification result containing the target insurance voucher information. And according to a predefined auditing standard, extracting auditing point information from the verification data identification result. And performing comparative analysis on the auditing point information and corresponding information in the insurance handling data to judge whether the information in the insurance handling data is consistent with the information in the customer verification data. And if the comparison analysis result shows that the information is consistent, confirming that the insurance handling data passes the auditing. Through automatic processing and intelligent identification, the auditing efficiency is improved, manual intervention is reduced, and the error rate is reduced, so that the processing speed of the insurance service sheet is accelerated, and the customer experience and the service processing accuracy are improved.

The invention discloses an electronic digital signature system and method, particularly relates to the technical field of digital signatures, and comprises a digital signature extraction module, a signature verification module and a batch signature generation module. The method specifically comprises the following steps: S1, digital signature extraction; S2, signature verification; and S3, batch signature generation. According to the method, the review efficiency can be improved, the signature safety is ensured, the signature can be taken at any time, encryption and decryption integrated management is realized, the signature can be generated in batches, the accuracy is ensured, and meanwhile, the signature extraction accuracy is improved by adopting an advanced technology.

The invention discloses a resin plug hole detection machine with a reinspection function, a detection method and a detection system, and the machine comprises a workbench which is used for fixing a circuit board; the light detection module comprises a lamp panel, a polaroid and a camera, the lamp panel is provided with a white light source and an ultraviolet light source, and the polaroid can receive light reflected by the circuit board and emit light to the camera; the ultraviolet light source and the white light source are respectively matched with the camera to detect and recheck the circuit board; the first driving assembly drives the light detection module to move; the heat dissipation module is used for dissipating heat of the workbench; the cleaning module is used for scraping dirt on the end face of the workbench; the control system integrating the modules comprises an image display screen for displaying the camera. An ultraviolet light source is used for detecting the quality of the plug hole, a white light source is used for reinspection, and high-precision and high-efficiency detection of the resin plug hole of the circuit board is realized in combination with vacuum adsorption fixation, heat dissipation and cleaning of the workbench and an intelligent image analysis technology.

The invention belongs to the technical field of artificial intelligence and data mining, and particularly discloses an engineering safety design document visual review model training method, which comprises the following steps of: marking entities and relationships in various engineering safety design documents, and constructing a scheme global template consisting of triples of a first entity, a relationship and a second entity; training a self-encoding language model by utilizing the scheme global template to obtain a span semantic vector; and training the recurrent neural network model by using the span semantic vector and the scheme global template to complete the training of the engineering safety design document visualization review model. According to the method, not only can the surface content of the document be examined, but also potential safety risks and problems in the document can be found, and the examination comprehensiveness, accuracy and efficiency are greatly improved.

The invention discloses a data auditing method, device and equipment, a storage medium and a computer program product, and relates to the technical field of data processing.The method comprises the steps that in response to input data input by a user, an auditing rule of the input data is determined based on the input data; based on the auditing rule, generating an auditing scheme of the input data through an intelligent language model; performing feature extraction operation and text vectorization operation on the input data to obtain a keyword vector of the input data; and performing auditing operation on the keyword vector based on the auditing scheme to obtain an auditing report of the input data. The auditing scheme of the input data is generated through the intelligent language model, the data auditing efficiency can be improved, and meanwhile the auditing accuracy is improved.

The invention discloses an automatic content screening and labeling system which comprises a content screening module used for confirming to-be-published content and performing text preprocessing and semantic analysis processing on the to-be-published content to obtain non-compliant fragments; the screening result display module is used for labeling and displaying the non-compliant fragments; when the content is published, the text content can be automatically audited, the non-compliant part can be automatically labeled, the auditing accuracy and the auditing efficiency are high, and the manual auditing cost is reduced.

The invention provides an automatic test paper reviewing method and system based on generative artificial intelligence, and relates to the technical field of artificial intelligence and educational evaluation, and the method comprises the steps: obtaining an image of a paper answer test paper, carrying out the content recognition of the processed image, and obtaining the content of an answer image; performing anomaly detection and correction on the content of the answer image through a generative artificial intelligence large model; performing feature extraction on the content of the corrected answer image; extracting key information from the corrected content of the answer image by using a generative artificial intelligence large model, and embedding the key information to form a new feature vector of the content of the answer image; calculating a cosine similarity score and a generative artificial intelligence large model prediction score; when a serious gap exists, a collaborative active learning mechanism is introduced, and the answer confidence of the examinee is evaluated; and when the confidence coefficient is higher than a given threshold value, outputting a prediction score. According to the method, the generative artificial intelligence large model technology is applied to the review process in a full cycle, and automatic test paper review is achieved.

The invention discloses a man-machine collaborative auditing and optimizing method for AI (artificial intelligence) generated content oriented to the field of literature and blog. The man-machine collaborative auditing and optimizing method comprises the following steps: S1, content acquisition and personalized constraint preprocessing: acquiring literature and blog field related content generated by an AI model; if the content is customized by a specific object, inputting an exclusive digital resource library and a style guide of the corresponding object into an AI generation model as constraint conditions; s2, multi-dimensional automatic evaluation: calling a multi-dimensional content evaluation model to carry out automatic analysis on the content, and outputting a quality score vector containing a plurality of evaluation dimension scores; s3, man-machine task dynamic allocation and collaborative auditing: calculating the comprehensive confidence of the content based on the quality score vector, and dynamically allocating the low-confidence content to the matched artificial auditor according to the confidence and the professional portrait of the auditor; and an auditor can trigger traceability verification based on the authoritative literature and blog mapping knowledge domain during auditing. According to the method, the AI generation content in the literature and blog field can be better audited and optimized.

The invention provides a certificate image processing method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a certificate image; performing text recognition on the certificate image to obtain text information in the certificate image; performing standardization processing on the text information to obtain standardized text information; performing field verification on the standardized text information to obtain a verification result; and storing the certificate image and the standardized text information in response to the verification result representing that verification is passed. According to the method and the device, the certificate information of different formats can accord with a unified auditing standard, convenience is provided for subsequent verification, and thus the certificate auditing efficiency and accuracy are improved.

The invention provides a large model content generation auditing method and system based on man-machine collaboration, and relates to the technical field of large models, and the method comprises the steps: deconstructing the generation process data of to-be-audited content, constructing a content risk propagation map, mapping a multi-level auditing strategy library, and recognizing an uncertainty region needing manual intervention. And obtaining manual auditing judgment and correction operation, forming auditing knowledge precipitation and perfecting an auditing strategy library. According to the method, the content risk source can be accurately positioned, the auditing efficiency is improved, a closed-loop optimized man-machine collaborative auditing mechanism is formed, the misjudgment rate is effectively reduced, and the large model content security is improved.

The invention discloses an auditing process and authority control management system and method applied to data sharing, belongs to the auditing process and authority control management system and method applied to data sharing, and aims to solve the technical problem of how to realize management control of an auditing process and resource use authority of resource sharing. Comprising a resource data management module, a resource application management module, a resource authorization monitoring module, an authority management module and a message management module, and can realize strict control of auditing processes and use authorities related to resource authorization in a data sharing process. The resource authorization monitoring module and the authority management module are matched to strictly control the use range and the use time limit of resources, and the resource use reasonability and the resource application correctness are guaranteed; rapid application methods such as resource application search, batch application and form content default are provided, the application efficiency is greatly improved, functions such as auditing verification, information notification and batch auditing are provided, and the auditing efficiency is effectively improved.

The invention provides an intelligent electronic contract auditing and risk early warning method based on AI, and belongs to the field of contract auditing, and the method comprises the following steps: building a standard database for contract auditing, carrying out the pre-classification of contract types, selecting one contract from contracts of the same type as a standard template, and carrying out the risk early warning of the contracts; the standard templates are imported into a standard database to serve as templates, and each input standard template is classified and marked; a general auditing process and an independent auditing process are set for each type of contract, the general auditing process is used for comparing and verifying each preset item in the standard template with the contract signed by adopting the standard template, and target marking is carried out on distinguishing points in the general auditing process; wherein in the independent auditing process, terms added in a standard template are subjected to cross auditing, similar contracts of the same kind are selected through classification marking, and the whole contract is traversed to select similar terms for comparison auditing.