14 results about "Maturity assessment" patented technology

The invention relates to the technical field of artificial intelligence and machine learning, and discloses an enterprise marketing maturity evaluation method based on machine learning, and the method comprises the steps: obtaining enterprise multi-dimensional marketing data; separating a general marketing capability representation vector and an industry exclusive situation vector through a feature decoupling neural network; and generating a preliminary score by using a pre-trained general model, generating a modulation parameter through a lightweight industry adapter to dynamically calibrate the score, and outputting a final evaluation result. According to the method, through a feature decoupling and modular adaptation mechanism, the cross-industry generalization ability is remarkably improved while the evaluation precision is guaranteed, and the model maintenance and expansion cost is reduced.

The invention belongs to the technical field of intelligent manufacturing capability maturity evaluation, and discloses an intelligent manufacturing capability maturity evaluation method and system based on industry characteristics and semantic understanding. The evaluation method comprises the steps of constructing an industry feature knowledge base, generating a personalized evaluation information packet, performing semantic processing on evidence materials, calculating matching degree and similarity, calculating the maturity of the capability subdomains, performing comprehensive rating and the like, and finally integrating maturity scores of all the capability subdomains to form an intelligent manufacturing capability maturity grade result of an evaluated enterprise. Through industry feature matching, semantic vector analysis and dynamic weight calculation, objective, efficient and accurate evaluation of the intelligent manufacturing capability maturity is realized, and the method can be widely applied to manufacturing enterprises and has remarkable economic benefits and popularization values.

The invention provides a medical network security assessment method and system and a storage medium, and the method comprises the steps: obtaining hospital information of a to-be-assessed hospital and an operation index of network security equipment, and determining a target maturity level according to the hospital information and the operation index; performing data acquisition on the network security equipment to obtain equipment acquisition data, and calculating a process domain score and a capability domain score according to the equipment acquisition data; calculating a comprehensive maturity score according to the process domain score and the ability domain score, and determining a medical network security assessment level according to the comprehensive maturity score; and performing hierarchical comparison on the medical network security evaluation hierarchy and the target maturity hierarchy, and outputting a maturity evaluation report according to a hierarchical comparison result. According to the embodiment of the invention, medical network security assessment is carried out from three dimensions of a process domain, a capability domain and a hierarchy domain, all aspects of hospital network security operation are covered, and the accuracy of medical network security assessment is improved.

A computer-implemented method includes: generating, by a computing device, a set of customized guidelines using at least user data and a current set of known guidelines; improving, by the computing device, the set of customized guidelines using a refined customer profile including user data of a current client; providing, by the computing device, a maturity assessment of the current client using the improved set of customized guidelines and known maturity assessments; and providing a recommendation to the current client based on the improved set of customized guidelines and maturity assessment.

The invention discloses an intelligent manufacturing maturity evaluation and upgrading method and system for a manufacturing enterprise, and relates to the technical field of end-cloud collaboration, intelligent terminals and sensors are deployed in a workshop, an end-cloud collaboration data acquisition system is constructed, production, quality and equipment data are acquired in real time, and the data are preprocessed through an edge gateway and then uploaded to a cloud platform. According to the invention, by constructing the end-cloud collaborative data acquisition system, comprehensive data perception and integration from production equipment, production line stations to logistics nodes are realized, a unified digital image can be established based on real-time acquisition, edge preprocessing and cloud platform convergence of multi-source heterogeneous data, a multi-dimensional data basis is provided for the evaluation of the intelligent manufacturing maturity, and the evaluation of the intelligent manufacturing maturity is facilitated. And through fusion of intelligent algorithms such as an analytic hierarchy process, an entropy weight method and clustering analysis, the model can dynamically generate an evaluation result with strategic suitability and objectivity, and scientificity and reliability of enterprise intelligent transformation are remarkably improved.

The invention relates to the technical field of data processing, in particular to a smart campus service maturity assessment method based on dynamic weight and multi-modal data, and the method comprises the steps: collecting multi-modal data including educational activities, mental health, campus point cloud atlas and security events, and IT service capability, and carrying out the preprocessing to form a standardized assessment data set; constructing a six-dimension evaluation index system, determining an initial weight by combining a Delphi method with an analytic hierarchy process, and dynamically adjusting the weight based on a knowledge graph and an LSTM neural network; a feature level and decision level mixed fusion strategy is adopted for evaluation, dimension scores are calculated, and maturity levels are divided; and visually analyzing an evaluation result, generating a report containing resource configuration suggestions, and combining feedback to optimize a management strategy. According to the method, the problems of single evaluation data, fixed weight and insufficient practicability in the prior art are solved, accurate evaluation and dynamic optimization are realized, and support is provided for campus resource allocation and policy adjustment.

A vision system and method for a pine cone harvesting platform, belonging to the field of intelligent forestry equipment, addresses the problems of low target recognition accuracy, difficulty in maturity assessment, and insufficient harvesting positioning precision in existing drone harvesting systems operating in complex forest environments. The system includes a vision processing unit, a wide-angle gimbal camera, a LiDAR, and a hand-eye camera. The wide-angle gimbal camera acquires distant visual images. The vision processing unit uses a priori information-guided detection method to identify pine cone targets and combines LiDAR point cloud data to plan the platform's motion path. The hand-eye camera, mounted at the end of a robotic arm, acquires near-field images and depth information after the platform reaches the target area. The vision processing unit uses an attention-weighted mechanism to fuse color, size, and scale flipping angle features to determine maturity, locate the strike point, and control the harvesting actuator to complete the operation. This invention achieves high-precision identification and positioning of pine cone targets through two-stage visual collaboration and multi-dimensional feature fusion.

The invention discloses a comprehensive evaluation method based on an enterprise operation result and a digital current situation. The method comprises five steps: S1, obtaining original operation data and original digital data of an enterprise through a data acquisition interface, and generating a standardized operation data stream and a digital data stream; s2, calculating and forming a group of quantitative digital index parameters through a maturity evaluation model; s3, inputting the quantitative operation index parameter and the quantitative digital index parameter into a dynamic weight distribution model to generate a dynamic weight coefficient; s4, generating an enterprise comprehensive competitiveness score based on the dynamic weight coefficient, the quantitative operation index parameter and the quantitative digital index parameter; and S5, outputting a comprehensive evaluation report containing optimization suggestions according to the comprehensive competitiveness score, the dynamic weight coefficient and the simulation prediction coefficient. According to the comprehensive evaluation method, the problem that enterprise operation performance evaluation and digital level evaluation are separated from each other in the prior art can be solved.

The invention relates to the field of enterprise transformation evaluation, in particular to an enterprise digital transformation maturity evaluation method and system, and the method comprises the following steps: S1, data input: receiving and storing original data of an enterprise; s2, constructing an evaluation index system and performing evaluation: receiving the data in the step S1, constructing the evaluation index system, performing grade classification on the digital transformation maturity of the enterprise, performing attribution explanation on a classification result, and generating an evaluation report; s3, data comparison: comparing the evaluation report generated in the step S2 with a historical evaluation record, and analyzing the progress, stagnation or backward trend of the enterprise in the transformation process; s4, generating improvement suggestions: generating digital transformation suggestions for enterprises according to the maturity classification result generated in the step S2, attribution explanation and historical comparative analysis in the step S3 in combination with a business knowledge base; and S5, carrying out analysis data visualization: carrying out digital visualization presentation on the result of the previous step.

The invention discloses an application interface openness maturity evaluation method and device and electronic equipment. The method comprises the following steps: acquiring an interface document, work order data and log data of a to-be-evaluated product, as well as an evaluation specification and an interface document template; based on the evaluation specification and the interface document template, performing evaluation processing on the interface document, and obtaining a first opening capability evaluation result of each application interface in the to-be-evaluated product; based on the work order data, obtaining a second openness assessment result of each application interface in the to-be-assessed product; performing statistical analysis processing on the log data to obtain a third opening capability evaluation result of each application interface in the to-be-evaluated product; and fusing the first opening capability evaluation result, the second opening capability evaluation result and the third opening capability evaluation result to obtain an application interface opening capability maturity evaluation result of the to-be-evaluated product. According to the method, more assessment points can be covered, so that the comprehensiveness of capability maturity assessment is improved.

This application relates to the field of intelligent assessment technology, and discloses an assessment method for enterprise intelligent maturity, comprising: collecting multi-dimensional indicator data reflecting enterprise intelligent maturity through a data acquisition platform; determining the quantitative score corresponding to the indicator data; using the analytic hierarchy process (AHP) to determine the weight vector of the indicator data under each dimension; and using the quantitative score and weight vector to generate a comprehensive assessment score of enterprise intelligent maturity through weighted calculation; mapping the comprehensive assessment score to a preset maturity level range to determine the enterprise's intelligent maturity level; and generating a technical analysis report based on the intelligent maturity level and indicator data. The technical solution of this application constitutes an objective and quantifiable closed loop for enterprise intelligent maturity assessment, significantly improving the accuracy of the assessment results. This application also discloses an intelligent assessment system and electronic device.

The invention discloses a technology maturity evaluation method and system suitable for vehicle-network interaction, and a medium. The method comprises the steps of obtaining related data of a vehicle-network interaction technology; substituting the related data of the vehicle network interaction technology into a pre-constructed evaluation index system, and calculating a maturity score based on a fuzzy comprehensive evaluation method; judging the maturity level based on the maturity score to obtain the technical maturity level; wherein the pre-constructed evaluation index system is constructed by taking technology maturity as a target, selecting technology popularization, power grid collaboration, ecological construction and policy standards from three levels of technology, application and ecology as first-level criteria, and setting second-level indexes according to core evaluation dimensions of the first-level criteria. According to the method, a multi-dimensional vehicle network interaction technology application maturity level system covering three aspects of technology-application-ecology is constructed, a clear judgment standard is provided for different development stages of vehicle network interaction, uncertainty in evaluation is processed in combination with a fuzzy comprehensive evaluation method, and scientific quantification of vehicle network interaction technology application maturity is achieved.

This invention relates to the fields of artificial intelligence and machine learning technology, and discloses a machine learning-based method for assessing enterprise marketing maturity. The method includes: acquiring multi-dimensional marketing data from the enterprise; separating a general marketing capability representation vector and an industry-specific context vector through a feature-decoupled neural network; generating a preliminary score using a pre-trained general model; dynamically calibrating the score using modulation parameters generated by a lightweight industry adapter; and outputting the final assessment result. This invention, through feature decoupling and modular adaptation mechanisms, significantly improves cross-industry generalization ability while ensuring assessment accuracy, and reduces model maintenance and expansion costs.