9 results about "Capacity assessment" patented technology

The invention relates to the technical field of intelligent education, in particular to an AI-based nursing teaching scene construction and evaluation system. According to the system, a dynamic case script is generated through historical case data, and a virtual patient physiological model is constructed; creating three teaching scenes of community follow-up visit, emergency rescue and traditional Chinese medicine nursing fusion by using a mixed reality technology; a personalized learning portrait of the student is constructed through a pre-test, and accurate matching between the ability of the student and the teaching content is formed; a double-track system skill training module is built, and AI tutor guidance and teacher guidance are integrated; and an ability evaluation system based on operation data is established, and intelligent pushing of adaptive training content is realized. The problems that in traditional nursing teaching, scene authenticity is insufficient, personalized training is insufficient, and clinical thinking is difficult to cultivate are solved, and the clinical operation skill and decision judgment ability of students are improved.

This application provides a method for finding employees based on OKRs, an electronic device, a storage medium, and a program product, relating to the field of computer technology. This method integrates OKR data with departmental responsibility data into user job description data. It constructs a multi-level matching optimization logic around the employee search request, from initial matching degree to revised matching degree and then to target matching degree, combining accuracy, timeliness, and practicality tailored to actual enterprise collaboration. This method abandons the drawbacks of traditional employee search methods that rely on static information, incorporating OKR data reflecting employees' current work priorities into the core matching dimension. This ensures that the personnel matching results highly align with the enterprise's real-time business needs, fundamentally improving the matching degree. Simultaneously, by adjusting the initial matching degree through capability assessment parameters, it optimizes the matching results based on employees' actual ability levels. Furthermore, by combining organizational structure hierarchy to determine the target matching degree, it fully considers the characteristics of internal collaboration levels, optimizes collaboration paths, reduces trial-and-error costs and communication costs in cross-departmental and cross-position collaboration, thereby improving the accuracy of recommendation results.

The invention discloses a petrochemical enterprise emergency capability assessment method and system based on weight iteration, and relates to the technical field of oil and gas fields, oil refining and chemical engineering, and the method comprises the steps: S1, defining a user role, creating an assessment scheme, and distributing an assessment task; s2, constructing an enterprise emergency capability evaluation system; the evaluation system comprises evaluation elements, organization levels, secondary evaluation indexes, evaluation items and weights; s3, carrying out quantitative scoring and problem description according to the typical problem library and the evaluation task; s4, obtaining scores according to evaluation item scores given by experts, evaluation elements, organization levels, secondary evaluation indexes, evaluation items and weights; the score comprises an evaluation factor score under a certain organization level, an evaluation factor score under an enterprise level and an enterprise overall emergency capability evaluation score. According to the method, quantitative evaluation of the overall emergency capability of the enterprise is finally realized through quantitative evaluation of the underlying elements and layer-by-layer weight iteration.

The invention relates to the technical field of endowment service evaluation, in particular to a family endowment ability evaluation method, device, equipment, medium and program, and the method comprises the steps: inputting life condition data, nursing support data and emotion support data into a trained target language model, calling a pre-established service evaluation system by the target language model, mapping the life condition data, the care support data and the emotion support data to pre-established evaluation indexes in a family old-age care ability evaluation system, and calculating a quantitative score of the corresponding evaluation index according to mapping data corresponding to each evaluation index; and identifying a weight corresponding to each evaluation index, and generating a family old-age care ability evaluation result according to the quantitative score of each evaluation index and the corresponding weight. Therefore, the problems of low data processing efficiency, one-sided evaluation dimension, insufficient evaluation result precision, large error and the like caused by a manual evaluation mode in related technologies are solved.

The invention discloses a pre-job vocational ability assessment training recommendation system, which comprises a multi-source data acquisition module, an ability assessment engine, an intelligent recommendation module and a closed-loop verification module, and relates to the technical field of job seeker employment ability assessment and training recommendation. According to the system, dynamic acquisition of user capability data is realized through the multi-source data acquisition module, the limitation of traditional static evaluation is broken through, the evaluation result is more comprehensive and accurate, meanwhile, the introduction of a capability evaluation engine sets a clear capability threshold value, training recommendation can be automatically triggered, and the training efficiency is improved. According to the method and the system, a personalized training scheme is provided for the user with the value lower than the threshold value, the vocational ability of the user is effectively improved, the structural failure phenomenon is effectively relieved, the configuration and utilization of training resources are optimized, and the method and the system play a positive role in promoting the healthy development of talent training and employment markets.

The invention, which relates to the technical field of financial risk analysis, discloses a dynamic assessment and risk early warning method and system based on a non-performing asset repayment capability, comprising the following steps: performing real-time dynamic acquisition and standardized adaptation to obtain cross-domain heterogeneous data; executing deep analysis on the obtained multi-source heterogeneous data, and performing structured fusion processing; constructing a repayment capability evaluation model based on the dynamic characteristics and the adaptive weight and optimization iteration thereof; scene risk early warning and dynamic threshold optimization are carried out based on the subdivided customer groups; and executing data security and compliance auditing guarantee throughout the whole process. The problems that in the prior art, evaluation results are lagged due to the fact that the repayment capacity of the unfavorable assets depends on historical static data, early warning accuracy is low due to the fact that a unified risk threshold value is adopted, risk disposal efficiency is low due to system architecture splitting, and overall limitation is high are solved.

The invention discloses a lawyer performance assessment method and system based on indexing. The method comprises the following steps: 1) selecting a plurality of data sources used for evaluating the law enforcement ability, and setting the weight of each data source; data of the data sources are associated and fused with lawyer license numbers or lawyer names, and a database based on personal basic information, lawyer license qualification information, lawyer complaint case information and media list information is formed; 2) establishing a multi-level index system for evaluating lawyer performance; comprising four dimensions of case handling conditions, customer portraits, case handling quality and case handling strategies, and each dimension comprises multiple levels of indexes; and 3) for a to-be-assessed lawyer, extracting an index value of the to-be-assessed lawyer from the basic database based on the multi-level index system, and calculating to obtain a quantitative assessment value of the performance ability of the to-be-assessed lawyer. According to the method, a scientific, objective, comprehensive and personalized evaluation framework is provided for the law enforcement ability of lawyers.

The application relates to a personnel safety behavior ability evaluation method, device, equipment and medium. The method comprises the following steps: adaptively extracting a steady-state baseline reflecting long-term stable ability of an individual from historical behavior data through a time series decomposition technology, updating a floating baseline reflecting short-term state fluctuation based on context clustering, calculating deviation degrees of real-time data and the two baselines, generating a personnel safety behavior ability evaluation result according to a combination relationship between the two deviation degrees and multiple thresholds. The method can effectively overcome the false alarm and missed alarm problems caused by ignoring individual differences and state dynamics in the traditional fixed threshold method, improve the accuracy, interpretability and practicability of the evaluation result, and provide adaptive intelligent decision support for personnel safety management in a high-risk operation environment.

The application discloses a kind of based on the anti-falling early warning system of old person internal capacity evaluation, it is related to intelligent health monitoring technical field, including data acquisition module, acceleration data and angular velocity data and camera image data in the walking process of old person near the edge of narrow corridor carpet are collected by multimodal sensor, initial multi-source signal sequence is formed by fusion data to obtain preliminary risk feature set, feature extraction module, according to preliminary risk feature set using convolutional neural network extracts spatial features, separates sequence from acceleration data and angular velocity data Dynamic stage change mode is determined phase separation sequence;The anti-falling early warning system based on the old person internal capacity evaluation, realizes the continuous balance monitoring and individualized intervention under dynamic environment, effectively reduces the risk of falling of old people.