27 results about "Maturity assessment" patented technology

The invention discloses a crown instance segmentation and maturity evaluation method based on dynamic expansion convolution. The method comprises the following steps: firstly, carrying out radiation correction, geometric correction and histogram equalization preprocessing on a forest RGB image acquired by an unmanned aerial vehicle; then extracting global contour features through an adaptive dynamic expansion convolution module, enhancing local detail capture capability in combination with an edge perception feature pyramid network, and realizing multi-level feature fusion by using a double attention mechanism; then, a density adaptive contour cross suppression algorithm is adopted to optimize the mask, and the distinguishing precision of the dense area is improved through dynamic adjustment of a suppression threshold value and ray method contour cross calculation; and finally, calculating canopy density based on a segmentation result, and constructing a maturity index model by fusing the shape, color and geometric features of the crown breadth. According to the method, the extraction capability of the sub-pixel-level details of the crown edge is remarkably improved, the problems of fuzzy irregular contour segmentation and high-density region misjudgment are effectively solved, and an efficient and accurate technical scheme is provided for forestry resource monitoring.

The invention discloses a multi-modal-oriented intelligent computing network management and control operation and maintenance intelligent agent system capability maturity evaluation method, and relates to the technical field of intelligent computing networks, and the method comprises the following steps: S1, determining an evaluation dimension; s2, setting subordinate test items for each evaluation dimension, and respectively endowing the subordinate test items with weights; s3, building a test environment; s4, executing a preset test step for each test item to obtain a test result; s5, scoring is carried out according to a preset scoring rule; s6, obtaining a comprehensive score of the system; and S7, determining a system capability maturity level based on the comprehensive score. According to the multi-mode-oriented capability maturity evaluation method for the intelligent computing network management and control operation and maintenance agent system, maturity testing is carried out from all dimensions, a testing method for all indexes is provided, maturity evaluation of the intelligent computing network management and control operation and maintenance agent system can be standardized in an omnibearing and multi-angle mode, and the evaluation accuracy of the intelligent computing network management and control operation and maintenance agent system is improved. And the maturity evaluation of the intelligent calculation network management and control operation and maintenance intelligent agent system can really approach the actual demand.

The invention discloses a digital transformation maturity evaluation system and method based on a multi-dimensional quantitative index in the technical field of building industry digitization. The method comprises the following steps: acquiring various system data of an enterprise; the method comprises the following steps of: normalizing original data of sub-indexes of each dimension in data of each system of an enterprise through an evaluation engine deployed in a cloud server, weighting and aggregating, and calculating a comprehensive maturity index; calculating a dynamic evolution rate by using an evaluation engine in combination with historical comprehensive maturity index data, an enterprise resource investment ledger and an industry reference library; calculating bottleneck factors by using an evaluation engine in combination with enterprise self-evaluation data and an industry benchmark database; the enterprise bottleneck dimension is evaluated based on the bottleneck factor and then an improved scheme is fed back, the enterprise efficiency level is evaluated based on the dynamic evolution rate and then resource investment is adjusted, and the enterprise maturity is evaluated based on the comprehensive maturity index and then a stage route map is generated. According to the invention, the digital level of the building enterprise can be scientifically diagnosed, and transformation path planning is guided.

The invention discloses a manufacturing enterprise supply chain digital transformation maturity evaluation method driven by multi-dimensional indexes. The method comprises the following steps: widely collecting internal and external multi-source data of an enterprise through a data acquisition module, storing preprocessed data in a graph structure through a knowledge graph construction module, and optimizing query efficiency; potential association and abnormal modes among multi-modal data mining indexes are fused through a semantic understanding and relation reasoning module, field adaptability parameter adjustment and optimization are performed on each key model through a model training optimization module, and a hierarchical evaluation system is established and a quantitative improvement scheme is generated through an intelligent evaluation and improvement suggestion module. And finally, a complete closed loop from data acquisition to decision optimization is formed, and accurate evaluation and continuous improvement of the digital transformation maturity of the supply chain of the manufacturing enterprise are realized. The method is characterized in that a manufacturing enterprise supply chain digital transformation maturity evaluation system driven by a multi-dimensional index is used for evaluation.

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 relates to a ship pipeline passive film maturity evaluation method. The maturity of the passive film on the inner surface of the pipeline can be evaluated according to the detected film forming rate by determining the bad film forming pipeline and the bad position and arranging the passive film forming rate on-line measuring device at the bad film forming position. Then, when the passive film on the inner surface of the pipeline is not mature, the film forming period of the poor film forming position of each pipeline is evaluated, the pipeline with the too high or too low film forming rate is determined, and the flow speed of the pipeline with the too high or too low film forming rate is adjusted in real time, so that the film forming rates of the poor film forming positions of the pipelines are basically the same; therefore, all seawater pipelines can form a compact passivation film before a newly-built ship sails, and the inner wall surface of the ship pipeline is better in corrosion resistance.

The invention discloses a maturity evaluation system and method for digital transformation of the building industry in the technical field of digital transformation, and the method comprises the steps: obtaining evaluation data covering the full life cycle of digital transformation of a building enterprise through a multi-source heterogeneous data integration technology; calculating the evaluation data through a dynamic quantization formula to obtain an index evaluation result for evaluating the digital transformation maturity of the construction industry; and based on the index evaluation result, combining industry reference data and an enterprise strategic target, and through a priority determination algorithm, path staged logic and a dynamic deduction engine, generating a digital transformation optimization path. According to the method, the digital transformation evaluation of the building industry is realized from a static state to a dynamic system, from subjective experience to objective quantification and from result description to strategy generation, and a complex cooperative relationship is simulated through nonlinear correction, so that the method is closer to an actual business scene.

The invention relates to the technical field of aerospace COTS device evaluation systems, and discloses a satellite task-oriented aerospace COTS device total factor reliability quantitative evaluation system. The evaluation system mainly comprises a product maturity evaluation module, a manufacturer quality control evaluation module, a third-party evaluation result evaluation module, a product identification / identification evaluation module, a structure analysis evaluation module, a device anti-radiation capability evaluation module and a poor quality record evaluation module. The aerospace applicability and reliability of the COTS device are quantitatively evaluated through the seven modules. Through seven-module total factor evaluation, the limitation of traditional single test data is broken through, multi-dimensional information such as production quality, in-orbit recording and radiation resistance is integrated, the full life cycle performance of the device is comprehensively covered, the accuracy and comprehensiveness of an evaluation result are greatly improved, and more scientific guarantee is provided for the reliability of a satellite task.

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.

This invention discloses a macadamia nut maturity assessment system, belonging to the field of maturity assessment technology. The system includes a monitoring trigger module, an image processing module, a spectral analysis module, and a detection adjustment module. Its key technical points are: it achieves refined assessment and dynamic adjustment of macadamia nut maturity; it analyzes the hardness of fruits that do not meet the standards, and constructs a dynamic adjustment calculation model by combining hardness values, standard values, and adjustment datasets to generate corrected assessment thresholds, effectively solving the problem of inaccurate assessment results caused by fixed thresholds in traditional assessment methods; by introducing two adjustment terms—the proportion of abnormal hardness and the average hardness deviation—it comprehensively considers the hardness of fruits that do not meet the standards, achieving refined adjustment of the assessment thresholds and improving the accuracy and flexibility of the assessment; simultaneously, by dynamically adjusting the assessment thresholds, it can more accurately reflect the actual maturity of the fruits, providing a scientific basis for agricultural production.

The application discloses a kind of multidimensional risk management maturity model construction method and system, including the monitoring data and risk management data of the acquisition preset power system, the monitoring data and the risk management data are preprocessed;Risk identification is carried out to the monitoring data to obtain risk data, risk type is obtained by priori algorithm through the risk data, control data is obtained by power prediction through the risk management data;Dynamic causal matching is carried out to the control data and the risk type to obtain matching degree, management data and fuzzy data are obtained, according to the historical data and the fuzzy data, longitudinal comparison and evaluation are carried out to obtain optimization degree, the fuzzy data of the optimization degree greater than optimization threshold is added to the management data;According to the management data, horizontal longitudinal maturity comprehensive comparison is constructed to form maturity evaluation function, and the power risk management maturity model is constructed according to the maturity evaluation function.

Systems and methods are provided utilizing a consensus protocol that assesses a trust factor of one or more nodes, and which executes a block creation process by selecting and assigning trusted nodes, based on the trust factor assessment.

In one aspect, a method for assessing FinOps governance maturity in a multi-cloud environment is presented. The method begins with onboarding a cloud account to a multi-cloud governance platform. Following onboarding, the method involves pulling resources, resource utilizations, resource costs, budget data, and cloud provider recommendations from the cloud account. Next, a set of predefined policies is executed on the resources to identify optimization recommendations for each of the resources. Based on these optimization recommendations, a maturity score for the cloud account is calculated. The method then generates a FinOps governance maturity assessment report comprising the maturity score and the optimization recommendations. Finally, the FinOps governance maturity assessment report is provided to a user interface for display to the user.

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.

The application provides a digital twin network capability maturity evaluation method, device and storage medium, and relates to the technical field of communication.The method of the application collects twin network capability information and physical network capability information corresponding to each operation scene of the digital twin network, obtains scores and weight values corresponding to the twin network capability information and the physical network capability information respectively, thereby combining the characteristics of the telecommunication network and business development, and obtaining the maturity of each operation scene according to the obtained scores and weight values.After obtaining the maturity of all operation scenes, the digital twin network capability maturity level of the telecommunication network is obtained according to the operation scene coverage rate and the maturity of each operation scene, so as to determine the targeted improvement development direction for the telecommunication network operator according to the digital twin network capability maturity level and level.

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 application relates to a maturity evaluation method, device, system, computer equipment and storage medium. The method comprises the following steps: performing data governance processing on each to-be-governed data according to at least one to-be-evaluated data governance strategy to obtain a plurality of first governed data; performing data governance processing on each to-be-governed data according to a corresponding control data governance strategy of each to-be-evaluated data governance strategy to obtain a plurality of second governed data; and performing maturity evaluation on each to-be-evaluated data governance strategy according to each first governed data and each second governed data, and determining a maturity evaluation result of each to-be-evaluated data governance strategy. The above method can use the corresponding control data governance strategy of each to-be-evaluated data governance strategy as a reference strategy to perform maturity evaluation on each to-be-evaluated data governance strategy, so that the accuracy of the finally obtained maturity evaluation result of each to-be-evaluated data governance strategy is higher.

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.