13 results about "Process assessment" patented technology

The invention relates to a collaborative learning process evaluation and intervention system and method, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring multi-modal original data from an online collaboration environment in real time through a data acquisition module, performing timestamp synchronization, preprocessing and packaging, and generating a standardized synchronization event stream; a dynamic multilayer heterogeneous interaction graph is constructed or updated in real time based on the event flow through a graph construction module, wherein the graph comprises student nodes, concept nodes and workpiece nodes; carrying out snapshot analysis on the atlas through an analysis engine in a preset time window, and calculating and outputting a multi-dimensional social measurement index reflecting a collaboration process state; and continuously monitoring the index time sequence through an AI tutor intervention module, and when a predefined cooperation mode is detected, triggering a decision-making mechanism to generate an intervention action and feeding the intervention action back to the online cooperation environment. Therefore, real-time, objective and multi-modal evaluation of the collaborative learning process is realized, and accurate and timely intervention is carried out, so that the quality and effect of collaborative learning are improved.

The invention discloses an intelligent pediatric nursing teaching AI inquiry system and method based on a digital background, and relates to the crossing field of education informatization and artificial intelligence. The system comprises a front-end interaction module, a voice processing module, a teaching knowledge base module, an intelligent question and answer engine module, a teaching evaluation and feedback module, a background management module, a data analysis module and a virtual simulation operation linkage module, and the teaching knowledge base integrates on-duty competition certificates and traditional Chinese medicine pediatric characteristic knowledge and supports knowledge graph and vectorization retrieval; the intelligent question and answer engine adopts a retrieval enhancement generation technology and is combined with a standardized inquiry dialogue state machine to guarantee the answer accuracy. The method comprises the steps of case selection, multi-modal interaction, intelligent question and answer, process evaluation, virtual simulation linkage, adaptive recommendation and the like. According to the pediatric nursing teaching system, simulated inquiry training, refined process evaluation and teaching ecological closed-loop optimization are realized, the professionality, safety and individuation of pediatric nursing teaching are improved, and core ability cultivation of nursing talents is assisted.

The invention provides a homework supervision method and device, equipment and a storage medium, and the method comprises the steps: obtaining homework process data and homework result data of a user, and determining a homework correction result corresponding to the homework result data; based on the homework process data, the homework result data and the corresponding homework correction result, homework process evaluation and homework result evaluation are carried out; the homework evaluation result of the user is determined based on the process evaluation result and the achievement evaluation result obtained through homework process evaluation and homework achievement evaluation, homework process data, homework achievement data and a homework correction result are fused for evaluation, the one-sidedness problem that only the final correctness is concerned in a traditional scheme is solved, and the user experience is improved. The finally determined homework evaluation result can give consideration to the learning attitude and the learning effect, and the real learning state of the user can be reflected more comprehensively and objectively, so that an education basis with higher reference value is provided for teachers and parents, and accurate learning condition diagnosis and personalized tutoring can be realized.

The utility model discloses a pressure maintaining and blasting test tool for a cloth-sandwiched diaphragm, which integrates dual functions of pressure maintaining test and blasting test, not only can effectively discriminate early leakage or abnormal bumps caused by hidden defects such as uneven distribution of internal fibers, but also can accurately measure the ultimate blasting strength of the cloth-sandwiched diaphragm, and realizes comprehensive evaluation of product performance. By adopting a sealing mode of combining vacuum adsorption and a high-finish sealing ring, a soft and weak cloth clamping membrane can be uniformly, flatly and tightly attached without damage at the beginning of a test, stable and reliable initial sealing is formed, the problem of extrusion damage or untight sealing possibly caused by a traditional mechanical clamp is fundamentally solved, and the test efficiency is improved. A solid foundation is laid for the authenticity of a test result, and the accuracy of test pressure data and the reliability of pressure maintaining process evaluation are jointly guaranteed through the application of an inflation system integrated with a one-way valve and a high-precision monitoring instrument.

The invention discloses a transformer bushing replacement training device and method based on multi-mode perception and intelligent evaluation. According to the device, on the basis of a modularized entity training tool, a multi-mode sensing system and an intelligent evaluation system are innovatively integrated. The multi-modal sensing system concurrently collects multi-dimensional physical signals in the whole operation process through a deeply-integrated moment, sound vibration and vision sensing unit. The intelligent evaluation system utilizes a multi-source information fusion analysis algorithm to carry out dynamic comparison and deep correlation analysis on real-time sensing data and a standard process database, and a quantitative and accurate operation process conformity evaluation report is automatically generated. According to the method, the fundamental problems of subjective, lagging and incapability of quantification of process evaluation in traditional training are solved, the skill training is spanned from'result observation 'to'process intelligent diagnosis', and the objectivity, the accuracy and the efficiency of the training are remarkably improved.

The invention discloses an electric power operation violation identification method and system based on an AI large model, and belongs to the technical field of electric power safety detection. The method comprises the following steps: deploying existing detection equipment on a power operation site in a target area, acquiring behavior image parameters of operating personnel and real-time operation data of the equipment, and constructing an initial score of personal operation; according to the method, three dimensions of intermediate correction signals, environment evaluation and process evaluation are integrated, a complete report including a scoring result, violation types and time, equipment influence conditions and environment and process problem points is generated, personnel behavior management and control, equipment risk early warning, field environment adaptation and operation process specifications are integrated, and the method is high in practicability and high in practicability. The defect that a traditional scheme only focuses on the comprehensiveness of a single link is overcome, full-chain and multi-dimensional technical support is provided for power operation safety management, and the occurrence risks of personal injuries, equipment damage and large-area power outage accidents are practically reduced.

This invention relates to the field of environmental risk assessment, specifically to an artificial intelligence-based multidimensional dynamic weighted soil ecological risk assessment system. This system is a full-process soil ecological risk assessment platform, comprising modules for data management, screening value calculation, risk assessment, and risk characterization. The data management module acquires pollutant concentrations and toxicity parameters; the screening value calculation module calculates ecological screening values ​​using either the species sensitivity distribution method or the assessment factor method; the risk assessment module is divided into two stages: the first stage compares concentrations with screening values, and the second stage conducts a detailed assessment using the quotient method, probability method, or evidence weight method when risks exist; finally, the risk characterization module generates a risk distribution map, displaying the risk values ​​of points or areas. This constructs a complete risk assessment process from initial screening to detailed assessment, realizing a full-process assessment of soil ecological risk, and the assessment results can directly support subsequent site management decisions.

This invention relates to the field of intelligent manufacturing technology and discloses an intelligent manufacturing quality inspection method and system based on artificial intelligence, including: S1, performing quality inspection on continuously produced products; S2, generating a single-piece quality state to characterize the quality features of the individual product; S3, organizing multiple single-piece quality states according to manufacturing sequence information or time information; S4, constraining the continuity of the single-piece quality states in the time dimension; S5, based on a multi-level quality state expression structure; and S6, outputting the process quality state. By constructing a multi-level quality state expression structure containing a single-piece quality state layer and a process quality state layer, and introducing a process evaluation constraint mechanism based on time continuity in the process quality state construction and judgment process, the manufacturing process quality inspection is expanded from discrete single-piece judgment to overall quality state judgment of a continuous production process, thereby improving the ability to characterize quality changes in the manufacturing process.

The invention relates to the technical field of block chain application, in particular to a financial practical training process assessment and credit authentication system and method based on a block chain, and the system comprises a process data collection and evidence storage module, a decentralized credit asset generation module, a conditional privacy sharing and verification module and a block chain network. The method comprises the following steps: collecting and processing training process data of a user on a financial training platform; generating a verifiable voucher containing a capability assertion set based on the data, and writing voucher integrity information into the block chain; conditional privacy verification is provided to a verifier through selective disclosure or zero knowledge proof under user authorization. According to the invention, the truth and credibility of the training data and the credit voucher are ensured by using the tampering resistance of the block chain, user privacy protection and information minimum disclosure are realized through a cryptographic technology, and the problems of insufficient credibility, data islands and privacy disclosure existing in a traditional centralized authentication mode are solved.

The invention relates to a welding parameter determining method and device and a computer readable storage medium, and relates to the technical field of engineering manufacturing. The method comprises the following steps: receiving a first process evaluation element input by a user; retrieving a first target process assessment matched with the first process assessment element in a process assessment database, wherein the process assessment database is established based on the process assessment element contained in each process assessment in the plurality of verified process assessments and an execution standard referenced by each process assessment; in response to the first target process assessment retrieved in the process assessment database, determining the welding parameters in the first target process assessment as target welding parameters; and in response to the fact that the first target process assessment is not retrieved in the process assessment database, determining target welding parameters by utilizing the process knowledge graph based on the first process assessment elements.

The invention relates to a capability appreciation evaluation method and device, computer equipment, a readable storage medium and a program product. The method comprises the following steps: estimating an initial capability vector of each testee through a constructed capability model and a test database; in the culture process, testing the testee based on a new test item to obtain process evaluation data; adjusting the dynamic difficulty of each testee through a dynamic item parameter model; updating the ability model of the testee, and re-determining the ability vector of the testee in each dimension; based on the terminal point capability vector, predicting the capability of the testee through a prediction model to obtain a predicted capability, and determining an appreciation score of the testee; and analyzing the average value-added value of the whole culture group, analyzing the culture links based on the average value-added value, and outputting a culture suggestion report. Therefore, the influence of the individual initial capability difference can be stripped, and the three-dimensional real growth values on different capability dimensions under the intervention of specific culture can be accurately quantified.

Systems, computer program products, and methods are described herein for resource distribution process assessments using advanced computational models for data analysis and automated processing. The present disclosure is configured to receive a request to generate a resource distribution document from a borrower, the resource distribution document comprising a transfer of a plurality of resources from a lender to the borrower. Further, the present disclosure may analyze borrower metadata associated with the borrower comprising credit history, market trends, and collateral quality. Further, the present disclosure may generate a borrower capacity, analyze a regulation database, and generate the resource distribution document. Additionally, or alternatively, the resource distribution document may be generated and stored on a blockchain. Further, the present disclosure may generate a smart contract comprising terms associated with the resource distribution document and transfer, based on execution of the smart contract, the plurality of resources from the lender to the borrower.

The application provides a preset model fine-tuning method, a preset model-based question and answer method and equipment, and relates to the technical field of artificial intelligence. The fine-tuning method comprises: rewriting a sample question by using a preset model to obtain a retrieval question; retrieving based on the retrieval question to obtain a retrieval result for the retrieval question; reflecting the retrieval result by using the preset model to obtain a reflection result for the retrieval result; generating an answer to the sample question based on the retrieval result by using the preset model in the case where the reflection result represents that the retrieval result meets a predetermined answer generation condition; evaluating the retrieval result and the answer respectively to obtain a process evaluation score for the retrieval result and a result evaluation score for the answer; and fine-tuning parameters of the preset model based on a training sample obtained from the sample question, the answer, the retrieval result, the process evaluation score and the result evaluation score.