12 results about "Evaluation theory" patented technology

The invention relates to the technical field of carbon emission, in particular to an on-chain enterprise carbon emission accounting method and system. The method comprises the following steps: acquiring energy consumption, process flow and supply chain collaborative data of an enterprise in links of raw material acquisition, production processing, logistics transportation, equipment operation and recovery processing through Internet of Things equipment, and generating a carbon emission data set; based on a life cycle evaluation theory, boundaries of direct emission, indirect energy emission and supply chain associated emission are divided, and enterprise-level, product-level and supply chain-level carbon emission accounting models are constructed. A machine learning algorithm is utilized to analyze production fluctuation data in real time, carbon emission factor weights and accounting boundary parameters are dynamically adjusted, and an accounting result is optimized. And outputting a result to a green purchase decision-making system, a carbon asset management system and a supply chain collaboration platform. The system integrates industrial Internet of Things equipment, block chain nodes and enterprise resource planning system interfaces, collects and verifies full-link data in real time, solves the problem of data collection, and improves the accounting reliability.

The invention discloses a tower crane bolt axial force intelligent ultrasonic detection method and system based on multi-modal data fusion. Firstly, a multi-stage influence factor system is constructed based on a fuzzy hierarchical comprehensive evaluation theory, and a high-risk region identification model is established; and calculating a regional risk value based on the model, and determining a monitoring point distribution scheme. A heterogeneous network composed of a fiber grating strain sensor and an ultrasonic sensor is arranged in a selected area, and strain and ultrasonic data are synchronously collected. And inputting the multi-modal data into a deep belief network for feature fusion, and realizing health state dynamic evaluation through a fuzzy recognition model. And based on an evaluation result, performing fatigue life prediction by adopting an improved rain flow counting method and an accumulative damage theory. And finally, data fusion display and intelligent early warning are realized through the remote monitoring platform. According to the invention, full-chain intelligent health management from risk identification, real-time monitoring to life prediction is realized.

This invention relates to a tracked vehicle trajectory tracking method, system, and medium that integrates RL and extension optimization. The trajectory tracking control method includes: a line-of-sight navigation law that generates a desired longitudinal velocity u based on the vehicle's reference trajectory and a trajectory tracking error model. d And the expected yaw angle; u d The longitudinal total driving force F is generated through an active disturbance rejection control algorithm. sum And the force difference between the left and right tracks F diff ; F sum F diff The torque commands are mapped to the left and right tracks to achieve reference trajectory tracking. This invention integrates a cascaded control architecture that combines line-of-sight navigation law and active disturbance rejection control. It also introduces extension superiority evaluation theory to extract evaluation matter elements from the inner and outer loops, quantifies the real-time comprehensive superiority, and infers scaling coefficients through a reinforcement learning agent in each control cycle based on the real-time comprehensive superiority. This is then fed back to the cascaded control architecture for execution, thereby improving the trajectory tracking accuracy of tracked vehicles in complex dynamic environments.

The invention discloses a method for evaluating blocking interference of an airborne Beidou receiver. The method comprises the following steps: acquiring parameters of a navigation signal and an interference signal received by the airborne Beidou receiver; according to whether the frequencies of the navigation signal and the interference signal meet a frequency spectrum evaluation condition, performing primary evaluation on a blocking interference condition; comparing the interference signal amplitude with an interference amplitude threshold value, and performing secondary evaluation on the blocking interference condition according to a comparison result; third-level evaluation is carried out by judging whether the carrier-to-noise ratio under the interference condition exceeds the demodulation threshold carrier-to-noise ratio or not; and judging whether blocking interference exists or not according to an evaluation result. According to the embodiment of the invention, a large signal blocking mechanism and a grading electromagnetic compatibility evaluation theory are combined, and out-of-band blocking interference evaluation of the Beidou receiver in an airborne environment is realized; on the basis of a receiving airborne noise ratio calculation model, the interference degree of out-of-band large signals can be accurately judged; based on a grading evaluation theory, the interference effect of the airborne electronic equipment can be simply and quickly evaluated, and an evaluation result can be quickly obtained.

The present invention discloses a progressive power grid planning evaluation method and system based on a combination assessment theory, and relates to the technical field of power grid assessment and optimization. The method includes: correcting a weight of an obtained index by using a combination weighting method; obtaining an assessed value based on a similarity theory assessment method; standardizing an index by dimensionless processing; and performing evaluation based on nonparametric regression. The present invention ensures objectivity and fairness of an assessment result and the efficiency and the accuracy of assessment are improved. The present invention may be adaptively adjusted, making the assessment result closer to reality.

The invention belongs to the technical field of knowledge graph intelligent information processing, and discloses a knowledge graph node attribute completion method and system based on a credibility staged training strategy, and the method comprises the steps: obtaining target knowledge graph data, carrying out the node feature preprocessing, and obtaining node representation through a camouflage robust multi-relation graph neural network; constructing node classification difficulty based on structural centrality and neighborhood class overlapping features of the nodes; calculating node misclassification cost according to a credibility evaluation theory; training the node attribute completion model based on node classification difficulty, node misclassification cost, credibility feedback and a cost sensitive optimization mechanism, and obtaining an optimized node attribute completion model; and based on the trained node attribute completion model, performing attribute completion on the nodes with the missing attributes, and outputting a credibility result. According to the knowledge graph node attribute completion method, a knowledge graph node attribute completion technical scheme capable of adaptively adjusting the learning rhythm and improving the completion stability and generalization is constructed.

This application provides a method, apparatus, device, and storage medium for evaluating the frequency and damping variations of a vehicle-bridge coupled system considering non-classical damping effects, relating to the field of bridge structural dynamics and structural modal parameter identification technology. The method includes: determining frequency and damping variation information for evaluating the dynamic characteristics of the vehicle-bridge coupled system; constructing dimensionless characterization quantities for frequency and damping variations; calculating evaluation indices to characterize the intensity of the non-classical damping effect in the vehicle-bridge coupled system, quantitatively evaluating the degree of influence of the non-classical damping effect in the vehicle-bridge coupled system; and outputting the evaluation results. This application, by introducing evaluation indices characterizing the degree of non-classical damping in the vehicle-bridge coupled system, analyzes the variation patterns of system frequency and damping parameters within a unified analytical framework, achieving a quantitative analysis of the applicability of existing frequency evaluation theories under non-classical damping conditions.

The application provides a kind of aviation equipment full life cycle digital twin model accuracy evaluation method and system, it is related to digital twin technical field.The method is oriented to the full life cycle digital twin of product, wherein, digital twin is composed of physical space, virtual space, twin data, connection and service five dimensions, and covers the full life cycle of product from design, test, mass production to final service.The application takes uncertainty quantification evaluation method as its core evaluation theory and technical means, systematically analyzes and quantifies the uncertainty factors introduced in key links such as test equipment, data transmission communication, data processing, virtual model modeling and numerical simulation, so as to realize the comprehensive evaluation of digital twin accuracy, and provides evaluation basis for improving the accuracy of the established digital twin body relative to its mapping entity.

This invention provides a method and system for safety risk assessment of urban building clusters based on InSAR and fuzzy mathematics theory, belonging to the technical field of urban building cluster safety risk assessment. This invention acquires temporal deformation monitoring data of buildings within a target area using PS-InSAR technology; it traces back to engineering specifications to determine eight risk deformation assessment indicators and their classification thresholds; and calculates the standardized risk index of each assessment indicator through the relative relationship between deformation data and risk level thresholds. Addressing the differences in indicator contribution and the fuzziness of threshold boundaries, it introduces the analytic hierarchy process to determine weights, and combines fuzzy comprehensive evaluation theory to construct an assessment model, outputting the comprehensive risk level of the buildings. This method constructs a systematic and quantifiable risk assessment process, realizing automated assessment across the entire chain of "deformation monitoring - specification benchmarking - fuzzy decision-making," providing reliable technical support for safety early warning of urban building clusters.

The application discloses a tower crane bolt axial force intelligent ultrasonic detection method and system based on multi-modal data fusion. First, a multi-level influence factor system is constructed based on fuzzy hierarchy comprehensive evaluation theory, and a high-risk area identification model is established. Based on the model, the regional risk value is calculated, and the monitoring distribution scheme is determined. In the selected area, a heterogeneous network composed of fiber Bragg grating strain sensors and ultrasonic sensors is arranged, and strain and ultrasonic data are synchronously collected. The multi-modal data are input into a deep belief network for feature fusion, and dynamic evaluation of the health state is realized through a fuzzy recognition model. Based on the dynamic grading evaluation result, an improved rain flow counting method and cumulative damage theory are used for fatigue life prediction. Finally, data fusion display and intelligent early warning are realized through a remote monitoring platform. The application realizes intelligent health management of the whole chain from risk identification, real-time monitoring to life prediction.

The invention provides an efficiency evaluation method and device based on a pattern search and fuzzy comprehensive evaluation theory, relates to the technical field of computer vision and the technical field of artificial intelligence, and aims to solve the technical problem that a conventional efficiency evaluation method is difficult to efficiently meet the requirements of satellite efficiency evaluation at the present stage. The method comprises the steps of determining hierarchical features of evaluation indexes and influence factors corresponding to the evaluation indexes according to evaluation task requirements; generating a structured index tree based on the hierarchical features and the influence factors; inputting the index tree into a pre-constructed mode search model, and executing the following operations: distributing a corresponding weight for each evaluation index in the index tree, and quantifying the importance degree of each evaluation index; determining an initial point group according to the weight of each evaluation index; optimizing the weight of each evaluation index in the index tree according to the initial point group; and according to each evaluation index after weight optimization, utilizing a pre-constructed fuzzy comprehensive model to calculate and obtain an efficiency evaluation result of the on-orbit satellite.

This invention relates to a tracked vehicle trajectory tracking method, system, and medium that integrates RL and extension optimization. The trajectory tracking control method includes: a line-of-sight navigation law that generates a desired longitudinal velocity u based on the vehicle's reference trajectory and a trajectory tracking error model. d And the expected yaw angle; u d The longitudinal total driving force F is generated through an active disturbance rejection control algorithm. sum And the force difference between the left and right tracks F diff ; F sum F diff The torque commands are mapped to the left and right tracks to achieve reference trajectory tracking. This invention integrates a cascaded control architecture that combines line-of-sight navigation law and active disturbance rejection control. It also introduces extension superiority evaluation theory to extract evaluation matter elements from the inner and outer loops, quantifies the real-time comprehensive superiority, and infers scaling coefficients through a reinforcement learning agent in each control cycle based on the real-time comprehensive superiority. This is then fed back to the cascaded control architecture for execution, thereby improving the trajectory tracking accuracy of tracked vehicles in complex dynamic environments.