31 results about "Examination method" patented technology

The invention provides a knowledge-driven underground building design scheme intelligent review method, system and equipment. The method comprises the following steps: identifying a target facility type of a review object, a to-be-reviewed element and a corresponding review material type in a to-be-reviewed underground building design scheme; according to the target facility type, matching a rule structured text entry and an experience structured text entry from the knowledge base of the corresponding facility type; loading a corresponding review material from the application material according to the type of the review material; if the to-be-examined elements relate to the text type examination materials, calling an examination reasoning large model to extract index information corresponding to the to-be-examined elements; if the to-be-examined elements relate to the drawing type examination materials, calling a drawing identification enhanced multi-modal large model to extract index information corresponding to the to-be-examined elements; the extracted index information and the recalled knowledge entries are integrated to construct a cue word template, intelligent review and reasoning are performed on the index information according to the cue word template through a review and reasoning large model, and a review report is output, so that the review efficiency is improved.

The invention relates to the technical field of large language models, in particular to a reservoir dam safety evaluation report multi-dimensional examination method based on a large language model. A reservoir dam safety evaluation report is processed by constructing a multi-dimensional insight brain-assisting model; using the risk preview to output a risk early warning text; performing scene verification, extracting parameters to drive external simulation, and outputting a comparison analysis report; a natural language processing technology is adopted, a traceable data link is constructed, and a semantic link traceability set is generated; and the multi-dimensional insight auxiliary brain model performs comprehensive review on the semantic link traceability set, records review difficult points, and generates a multi-dimensional review report through a man-machine common intelligence report engine. At present, a review method of a reservoir dam safety evaluation report has the problem of single review dimension. Therefore, the invention provides a reservoir dam safety evaluation report multi-dimensional examination method based on a large language model.

The invention discloses a BIM model structure design review method and system based on a large model, and relates to the technical field of building information modeling, and the method comprises the steps: carrying out BIM model data preprocessing based on an AI large model; adopting an AI large model built-in rule engine to perform structural design specification review on the BIM model, and automatically generating a review report based on a natural language processing technology; bIM model collision detection is executed based on a deep learning algorithm, potential structure conflicts are identified, error points are displayed in combination with three-dimensional visualization, and adjustment suggestions are provided according to historical data and an optimization algorithm. According to the method, the data quality and consistency are improved, key information in the BIM model is clearer and more concise, the accuracy of the review process is improved, potential problems in the structural design process can be found and processed in time, the overall intelligent level of the BIM model is improved, and the building design process is more accurate, intelligent and efficient.

The embodiment of the invention discloses a method for intelligently assisting in reviewing a water conservation scheme of a water and soil conservation production and construction project, and the method achieves the intelligent feature matching of a new scheme and similar cases through the construction of a tagged knowledge base integrating historical cases of multiple industries, so as to recognize the generality compliance. A double-engine review mechanism is adopted, a form review module automatically checks document structure integrity and format specifications, and a logic review module executes cross-chapter data consistency check and business logic compliance analysis and highlights and positions error positions in a document. And recording decision logic in real time to form a feedback closed loop. And dynamically optimizing case library matching weight and recognition rules based on high-frequency error statistics and expert correction records. The modes of positioning review key points to chapters and sections, describing specific requirements of each review key point in a language, adding a check formula among data to review content needing to be calculated, determining a check type to which each review key point belongs, and the like are adopted, and the model is trained more clearly, so that the model has relatively professional review ability.

The invention discloses a hospital student comprehensive ability assessment method and system based on multi-source data, and relates to the technical field of artificial intelligence, and the method comprises the steps: collecting clinical operation data sets of target students, aligning the clinical operation data sets according to a time sequence, and generating a time sequence synchronization clinical operation data set; inputting the capability migration efficiency value and the historical evaluation score into a plasticity calibration model, automatically compensating the deviation between the simulation training scene and the real clinical scene according to the scene complexity, and outputting a dynamic calibration capability score; and combining the dynamic calibration capability score with the capability feature vector set to generate a multi-dimensional capability distribution diagram and a weak link improvement scheme. According to the method, the capability migration efficiency value and the historical evaluation score are input into the plasticity calibration model, the synaptic connection weight can be adjusted in real time according to the scene complexity in the machine learning process, and adaptive evolution and cognitive dynamic balance of parameters are achieved.

The invention discloses a code quality review method, system and device, a medium and a program product, and belongs to the technical field of software code quality review. According to the code quality examination method provided by the invention, interference factors in the codes are removed through the preprocessing step, so that subsequent analysis is more concentrated and efficient; by combining static analysis and dynamic analysis, potential defects in the codes are comprehensively and deeply found, and the accuracy and comprehensiveness of code quality review are improved by combining the static analysis and the dynamic analysis; by constructing a classifier model based on supervised learning, continuously collecting examined codes and defect tags thereof as a data set, and using the data to train and optimize the classifier model, the accuracy and generalization ability of the model can be continuously improved. According to the continuous learning and optimization mechanism, the code quality review method can be evolved continuously along with accumulation of data and experience, and a set of efficient, accurate and sustainable code quality review solution is provided for a software development team.

The invention discloses an intelligent question answering and examination integration method, system and device based on retrieval enhancement generation. According to the method, two major functions of question answering and examination are deeply fused under the same technical framework, and accurate knowledge question answering and automatic examination evaluation are synchronously realized through a shared vectorization knowledge base by utilizing a large language model and a retrieval enhancement technology. According to the intelligent examination process, a question type planning algorithm, knowledge point diversity control, a question type professional scoring engine and a streaming output interaction mechanism are creatively integrated, examination paper with balanced questions and wide knowledge point coverage can be automatically generated according to preset distribution, and high-accuracy automatic scoring is achieved for complex question types such as multi-choice questions and simple answers. According to the method, the problems of information lag and answer non-traceability of a traditional large model and one-sided question setting, rough score, low efficiency and the like of an existing examination system are effectively solved, and the scientificity, efficiency and user experience of evaluation are remarkably improved.

The application provides a kind of business information automatic examination method, device, equipment and storage medium, it is related to management data processing technical field.The method comprises: obtaining the business information to be examined;Based on the set of examination rules, the business information is automatically checked, to determine whether there is unqualified content corresponding to each examination rule in the business information;Wherein, the set of examination rules includes the examination rules learned based on historical examination data;If there is no unqualified content, it is determined that the business information is qualified, otherwise the business information is transferred to manual examination, and the manual examination result of the business information is added to the historical examination data, to update the set of examination rules based on historical examination data.The application can improve the adaptive ability and intelligent level of the examination system, reduce the cost of manual maintenance, and shorten the response time of rule updating.

The invention discloses an attachment approval method and device applied to an approval process, a storage medium and computer equipment. The method comprises the steps of receiving an attachment file associated with an approval process submitted by a user; extracting structured data in the attachment file; inputting the structured data into a pre-trained attachment examination and approval model, and performing normalization judgment on a to-be-examined and approved target data field by the attachment examination and approval model to generate an examination and approval result; if the approval result indicates that all the target data fields meet the filling specification, generating an approval passing instruction; and if the approval result indicates that the target data field which does not meet the filling specification exists, generating a modification feedback instruction containing a problem field identifier. When the user submits the examination and approval process, the associated attachment file is subjected to pre-examination and approval, and the next examination and approval link is carried out after successful examination and approval, so that the condition that modification is returned at a subsequent node can be avoided, the time consumption of the examination and approval process can be effectively reduced, and the examination and approval efficiency is improved.

This invention discloses a blockchain-based distributed examination method and system, comprising multiple modules including a management server, a teacher management unit, a student management unit, an examination business management unit, and a smart terminal. The teacher management unit allocates personal accounts and initial keys to teachers. These accounts contain teachers' personal information such as email addresses and mobile phone numbers. When a teacher accesses the grades section, the blockchain network receives a request and sends a dynamic key to the teacher's email address or mobile phone. The dynamic key is valid for 5 minutes. The teacher enters the dynamic key to log in to the grades section, and then the examination business management unit publishes the examination results. Students can check their results via their smart terminals. By adding a dynamic key to the grades section of the teacher management unit, and associating the dynamic key with the teacher's personal terminal, the security of the examination system is enhanced, preventing students from logging into the teacher management unit and tampering with the results.

The invention provides an intelligent online examination method based on video recording and judge independent scoring, and belongs to the technical field of online education. According to the method, a complete examination closed loop is realized through a Daqin art App, and the method comprises the links of examination registration, video recording, independent scoring, feedback and the like. The user can apply for the teacher entering permission through the App, create an examination, generate an examination link and a room number, and send a notification to related examinees and judge users through system pushing. And the examinee records the examination video through the App within the specified time, at most three times of recording opportunities are supported, and the examination video is submitted to the examination creation user. The judge and the creation teacher independently score the submitted video, and the system generates a final score and score report according to a preset standard. The scoring report comprises a judge score, a teacher comment and a detailed scoring dimension, and is fed back to the examinee through pushing. By integrating video recording, independent scoring and intelligent report generation, the problem that the fairness, efficiency and performance evaluation ability are insufficient in the existing examination mode is solved, and the method is suitable for scenes such as online education, art examination and video interview and has wide application prospects.

The application discloses a kind of examination method and system combined with language model and virtual technology, method includes the following steps: police and citizen dialogue process is rehearsed, and the first language model is used to analyze the rehearsed language output of subject, obtains rehearsal analysis result;Based on rehearsal analysis result, obtain the rehearsal score of subject;When the rehearsal score of subject meets preset score requirement, obtain examination permission;Based on examination permission, combined with virtual technology, build police and citizen dialogue scene topic;Based on police and citizen dialogue scene topic, examine subject, obtain examination language output;Second language model is used to analyze examination language output, obtain the examination evaluation report of subject.The application will be combined with language model and virtual technology, build more advanced, efficient examination method and system, improve the quality and effect of examination.

To enable appropriate examination in each examination range even in the presence of examination ranges of a plurality of different examination types in an examination target.SOLUTION: An examination device provided herein is configured to detect examination type switching points in examination target data based at least on either of content information and attribute information of the examination target data, detect examination ranges based on the switching points in the examination target data, and preform examination processing on each examination range.SELECTED DRAWING: Figure 1

The application discloses a kind of legal contract intelligent examination method and system, belong to artificial intelligence and legal technology field, which comprises: obtaining the legal contract text to be examined, and establishing multi-agent collaborative examination mechanism;Multi-agent collaborative examination mechanism at least includes: preliminary examination intelligent agent, at least one expert intelligent agent, and adjudication intelligent agent;Start by first semantic analysis engine and first rule matching engine constitute double-engine mechanism, and the legal contract text is examined in cooperation, generates uniform examination data, and provides examination data to each intelligent agent;Based on examination data, preliminary examination intelligent agent and expert intelligent agent execute examination task in series or parallel way, and adjudication intelligent agent carries out fusion and conflict resolution to the examination result of two, generates preliminary examination conclusion;Based on preliminary examination conclusion and examination data, generate final examination report.

The invention relates to the technical field of education and teaching management, in particular to a ranking increment-based teaching assessment method and analysis system. The total data comprises class ranking of the to-be-analyzed object, class average score of the to-be-analyzed object, class level of the to-be-analyzed object, class average score of all classes of the same level, end-of-period ranking of the to-be-analyzed object, end-of-period average score of the to-be-analyzed object, and end-of-period average score of all classes of the same level. According to the method, total data including class levels and test question difficulty coefficients are collected, and level feature factors are calculated according to historical score distribution of classes of all levels so as to distinguish ranking fluctuation sensitivity of classes of different levels, so that the problem of'one-cut 'of a unified regression equation of an existing method is avoided; and carrying out two-dimensional calibration of the level characteristic factor and the test question difficulty coefficient on the basic ranking difference, and correcting the interference of the level characteristic and the test difficulty on the ranking.

The invention discloses an examination method and device for examination equipment, equipment and a storage medium, and is applied to the technical field of artificial intelligence, and the method comprises the steps: starting a robot process automation RPA software module when an automatic examination instruction of the examination equipment is received; an examination device is remotely logged in through the RPA software module, and the examination device and the main device are located in the same local area network; checking a specified item in the examination equipment according to a pre-configured checking process through the RPA software module; and obtaining the abnormal fault examination equipment according to the examination result, and displaying alarm information generated according to the fault examination equipment on the main equipment operation table. The examination equipment is remotely logged in through software, the specified items in the equipment are automatically checked and adjusted according to the checking process, and the equipment which fails to be adjusted and has abnormity is identified and prompted to an administrator on a main equipment operation table, so that the total labor amount of the administrator is reduced, and the checking efficiency and accuracy of the examination equipment are improved.

The invention discloses a building information model examination method and system based on large language model driven multi-Agent workflow, and the method comprises the steps: obtaining a to-be-examined building information model and all CAD drawing data; processing all to-be-examined building information text data and all CAD drawing data in the to-be-examined building information model by adopting a large language model technology to obtain building model data and building drawing data, splitting the building model data, and taking the building drawing data as an examination standard of each examination process, and controlling an Agent system matched with each piece of building model sub-data obtained after splitting to inspect each piece of building model sub-data until an inspection result of each piece of building model sub-data meets a preset condition, and outputting a summarized result of all the inspection results as a target inspection result of the to-be-inspected building information model. According to the building information model examination method and system based on the large language model driving multi-Agent workflow provided by the embodiment of the invention, the examination efficiency of the building information model to be examined is improved.

The invention relates to the technical field of building information model review, in particular to a multi-agent review method and system fusing IFC and a standard knowledge base, and the method comprises the steps: analyzing a standard file through a rule extraction unit, generating a structured rule according to a predefined rule type system, and storing the structured rule in a rule database; the IFC analysis unit extracts IFC model component attributes, geometric information and spatial relationships by using an IFC analysis tool, and stores the IFC model component attributes, geometric information and spatial relationships in a to-be-checked database after arrangement according to a rule type system; rules are divided into simple rules and complex rules through a rule classification unit; the simple rule review unit performs automatic verification based on logic or numerical comparison rules, and the complex rule review unit performs semantic reasoning judgment based on a semantic understanding model; and the review report unit summarizes results to generate a final review report. According to the method, building specification structured expression and IFC data accurate mapping are realized, and the intelligent level and accuracy of building model review are improved through multi-agent cooperation and hierarchical review strategies.

To provide an examination device, an examination method and a program, which enable appropriate examination in each examination range even in the presence of examination ranges of a plurality of different examination types in an examination target.SOLUTION: An examination device provided herein comprises: an examination range detection unit configured to detect examination ranges based on examination type switching points in examination target data, and identify specific ranges including target positions of information within the examination target data as identified through examination of the examination target data; and a display unit configured to display one or more specific ranges including highlighted target positions.SELECTED DRAWING: Figure 1

The invention discloses an on-site examination route generation method, an examination assembly and an examination method, and relates to the technical field of on-site examinations, in the on-site examination route generation method provided by the invention, a route is randomly generated based on a distance threshold and an actual distance in the examination route generation step, and the route generation efficiency is greatly improved; by evenly distributing the number of times of selection of initial examination point locations, using a random arrangement algorithm and selecting a counter, the phenomena of excessive use of target point locations and student gathering are avoided, and the examination fairness is improved; by integrating the plant type information of the target point location, it is ensured that the plant types in the same examination route are not repeated, the examination content is enriched, and examination site repetition is avoided; in combination with an on-site examination assembly and an on-site examination method, integrated management of generation, distribution, navigation and result processing of an examination route is realized, and the convenience and effectiveness of the examination system are improved.

The invention discloses a contract content pre-auditing method and device based on a large language model, equipment and a medium. The method comprises the following steps: extracting contract content of a contract to be pre-reviewed; extracting an auditing parameter in at least one work order corresponding to the contract to be pre-audited, and determining an auditing rule based on the auditing parameter; combining the contract content, the auditing parameter, the auditing rule and a preset cue word template to obtain a pre-auditing cue word; and inputting the pre-auditing prompt word into the large language model to obtain a pre-auditing result. Through the above mode, contract pre-auditing can be realized by using the large language model, the pre-auditing result is obtained, auditing personnel only need to verify the pre-auditing result, the auditing personnel can be assisted to quickly approve the contract, the working efficiency of the auditing personnel is improved, auditing errors caused by experience and subjective judgment of the auditing personnel are avoided, and the success rate of contract auditing is improved. And the auditing accuracy is improved.

The present application relates to a kind of physical training examination method, system and intelligence capacity training system.Solve the problem that traditional physical training examination statistical method cannot objectively and quantitatively examine trainee.Method includes the completion accuracy of each action based on training process data and evaluation standard, then according to personal basic information, the number of times of completing standard examination action, heart rate variation value and facial expression as examination result information, through accurate, quantitative statistics and analysis, obtain objective examination result, remove the subjective influence factor when examination, can be efficiently, comprehensively, objectively to trainee examination and ranking in large-scale examination.Intelligence capacity training system includes mechanical training device, relevant sensor module, man-machine interaction module, control module and statistical analysis system;Control module obtains examination result information, and statistical analysis system receives the examination result information of all trainees, the score of each person's examination situation is calculated, and is sorted according to score.

To provide an examination method and an examination device that can improve examination accuracy and through-put.SOLUTION: An examination method according the present embodiment comprises: a segment step of segmenting a stripe area SA into an autofocus area AF and a non-focus area NF in an examination area 85 on a sample 80; and a scan step of, when causing an image-capturing position of the sample 80 to scan, causing the image-capturing position to scan while causing focus-on processing in the autofocus area AF, and causing the focus-on processing to limit in the non-focus area NF. The examination method further comprises: a focus information acquisition step of acquiring focus information in a specific stripe area SA1; and a trajectory generation step of generating a movement trajectory of the non-focus area NF on the acquired focus information. The scan step is configured to move a position of an objective lens 131 on the basis of the movement trajectory to thereby cause the focus-on processing to limit from a position to be determined by the movement trajectory.SELECTED DRAWING: Figure 1

The invention discloses an examination method based on generative artificial intelligence, which comprises an examination system based on the generative artificial intelligence, and the examination system based on the generative artificial intelligence comprises a material analysis module, a test question generation module, a test question management module, a test paper configuration module and a paper marking and analysis module. The material analysis module performs analysis according to the obtained professional material to obtain a material analysis result; the test question generation module generates test questions of various question types according to the material analysis result; the test question management module divides the test questions generated by the test question generation module into single-choice questions, multi-choice questions, blank-filling questions, judgment questions and short-answer questions according to question type types, and evaluates the difficulty of each test question; the test paper configuration module is used for generating test paper according with a test target according to question type distribution, question quantity setting, a professional field, a knowledge point field and a difficulty degree; and the paper marking and analyzing module accurately evaluates and analyzes scores through standard answers, semantic understanding, key knowledge point matching and logic analysis.

The application relates to a simulation training examination device and an examination method for dynamic updating of test papers, which are based on wrong questions completed by each student, take a theme library as data support, formulate an exclusive test paper for each student, and dynamically adjust the exclusive test paper questions of the student during the examination according to the question completion condition of the student during the examination, so that the exclusive test paper of each student is most suitable for the user. For questions with low difficulty levels, a too high correct rate of the questions indicates that the questions are basically mastered. For questions with high difficulty levels, a too high correct rate of the questions indicates that the questions are mastered by most people, and the difficult questions no longer have distinguishing ability. Therefore, the application updates the difficulty levels of the questions in the question library after each examination, takes a backup question library as the theme library for updating and supplementing, and eliminates the questions with too low difficulty levels in the theme library, so that the question quality of the theme library is higher.

The application provides an examination method in a helicopter ground inspection maintenance teaching process, the examination content is divided into a hierarchical structure of a machine type-station-site-inspection point, for each inspection point, the six dimensions of an inspection point name, an inspection point position, an inspection method, an inspection tool, an inspection action and an inspection state are needed, and one dimension of an inspection sequence is additionally increased in the whole, a total of seven dimensions are used to examine the mastering situation of students, the examination standard is clear and objective, and the problems of strong subjectivity and large teacher workload caused by the fact that the existing technology mainly relies on manual scoring by teachers and the scoring has certain subjectivity and leads to scoring errors are solved.

Provided is an examination method for a tester system in which a tester tests a device to be tested, wherein the tester system: collects the results of a test performed by the tester according to a test pattern; transmits the collected test results to an analysis system; receives, as a test pattern to be implemented next, a test pattern which is generated or selected by the analysis system on the basis of the test results; and causes the tester to perform a test according to the test pattern to be implemented next.

The embodiment of the invention provides a paper marking method, system and equipment of a large language model based on iterative knowledge enhancement and a medium, and belongs to the field of examination evaluation. The method comprises the steps of simulating expert paper marking logic by using a large language model based on a reference answer of a specified question, a scoring description and a plurality of expert scoring samples, and generating an initial scoring knowledge base; iteratively enhancing the structured initial score knowledge base; after each round of iteration, calculating an inter-scorer reliability coefficient between the model score and the expert score, and if the coefficient is higher than a preset threshold value in multiple iterations and a core rule of the score knowledge base is not changed in the iterations, obtaining a target score knowledge base; and scoring the answer sheet of the examinee to be evaluated. The model continuously absorbs expert experience through iteration, so that a paper marking standard more accurately adapts to changes of different examinations and questions, finally all answer sheets are judged by a unified and stabilized knowledge base, and the problem of inconsistency caused by scale floating of human paper markers is effectively avoided.

The invention relates to the technical field of enterprise intelligent management, and discloses an intelligent procurement system review method and system and electronic device.The method comprises the steps that a to-be-reviewed procurement system document is segmented, and a minimum review unit containing a clause text and metadata is generated; the method comprises the following steps: based on a pre-constructed upper system knowledge base, recalling an effective review basis by combining score normalization, sparseness dynamic weight adjustment and reordering through a mixed retrieval strategy of parallel execution of vector similarity retrieval and keyword retrieval; calling a structured cue word template, integrating review tasks, and constructing a dynamic context according to rules; and inputting a large language model for reasoning to generate a structured conclusion and summarizing to form an examination report. According to the system and the method, the unification of examination standards is realized, the examination efficiency and accuracy are greatly improved, omission and misjudgment are avoided, systematic precipitation and reuse of expert experience are realized, the labor cost is reduced, the system and the method are adaptive to multi-format documents and large-scale examination requirements, and the system and the method are suitable for purchase compliance management of large-scale group enterprises.

The application provides a kind of based on the examination method, system and equipment of house type ventilation area under architectural drawing, which comprises the following steps: identifying all window information according to the drawing to be examined;Calculate the area information of the window corresponding to the number according to the contour line of the window;According to the coordinate information of the examination target and the coordinate information corresponding to the window, adjacent window information is extracted, which is the number information corresponding to the window adjacent to the examination target, so that the area information corresponding to the adjacent window can be retrieved according to the number information;The examination target is examined according to the area information of the adjacent window to determine whether the ventilation area of the examination target meets the pre-set examination rules, and the examination result is output.The examination method based on the house type ventilation area under the architectural drawing provided by the application adopts the automatic identification of the drawing to complete the examination of the ventilation area of each examination target, effectively replacing the traditional way of manually examining the drawing, greatly improving the examination efficiency.