Research on Security Risk Assessment Mechanism of Important Event Based on Multi-Source Data

In order to effectively assess all types of security risks in the important event, the important decision-making basis for security risk warning and emergency management of important event is provided by analyzing the coupling relationship and evolution mechanism between various risks. The criminal causes, management defects, security and emergency system construction are analyzed from the possibility of accidents and risks. The multi-source data risk assessment system based on five subsystems and its index set of human factors, management factors, site factors, event factors and audit factors are proposed. The weight of each index in the assessment system is determined by the method of information entropy, and then the risk grade of important event is determined according to the weight calculation function and the improved fuzzy matter element model. The verification with an example shows that: the risk assessment model is optimized by combining entropy weight with fuzzy matter-element model，the influence of weight data extreme value was weakened，the qualitative description and quantitative analysis of multi-source data could be combined，and the subjective error was reduced. The risk grade of important event is reasonably evaluated, and the assessment effect is basically consistent with the expert inspection analysis, which shows that the method had certain application value.

Research on Comprehensive Evaluation Method of Transformer Noise Based on AHP Matter Element Model

Aiming at the problem of transformer condition evaluation, a comprehensive evaluation system for transformer noise is constructed according to the mechanism of transformer noise generation and propagation. Using matter-element theory and AHP, a state analysis method for transformer noise evaluation based on AHP matter-element model is proposed. The case analysis proves that the method is feasible for non-contact evaluation of transformer faults, and can accurately evaluate the state of the transformer, providing guidance for the operation and maintenance of the transformer.

Research on Matter Element Model in Power Grid Analysis

With the increasing complexity of power system grid structure and development environment, the dimensions and factors that need to be considered in the power grid statu analysis also become complex. It is necessary to judge the aspects of power grid that need to be improved through the analysis results. This paper constructs an evaluation index system of power grid, including safety reliability, operation efficiency, operation margin of power grid, power grid structure and equipment level. Based on the index system, an evaluation model combining matter-element model and entropy weight method is proposed. Matter element model can not only quantitatively judge the development level of power grid, but also find out the weakness of power grid and put forward the direction of its improvement. Finally, a case study is proposed to show that the matter element model analysis in power grid comprehensive evaluation is feasible and has a good evaluation accuracy.

Entropy weight TOPSIS evaluation of enterprise internal control quality based on fuzzy matter-element model

A TOPSIS evaluation index system of entropy weight of enterprise internal control quality based on fuzzy matter-element model was established to master the enterprise internal control quality comprehensively and analyze its influences on enterprise innovation performance accurately. Firstly, a composite fuzzy matter-element model was established based on the fuzzy matter-element theory. Secondly, weights of evaluation indexes were determined by the entropy weight method. Thirdly, the concept of relative closeness was developed by comparison with positive and negative ideal indexes. Finally, the internal control quality levels of 781 listed companies in Chin were measured by TOPSIS method. Results show that: weights of five level-1 indexes for enterprise internal control quality evaluation are different. Specifically, weights of Law & Regulation, Operation and Strategy are higher than those of Financial Statements and Assets Safety. In the level-2 index system, weights of “major litigation and arbitration cases”, “turnover of total assets” and “Tobin’s Q” occupy 66% of total weights. Listed companies which occupy the top10 position in term of internal control quality mainly belong to industries requiring strict monitoring and control over safety production. Enterprise internal control quality differs significantly among different industries. Research conclusions can provide methods and practical references to evaluate internal control quality of Chinese enterprises.

Research on Evaluation and Mechanism of Power Grid Reserve Project Based on Matter Element Model

In view of the increasing number of power grid reserve projects, how to reasonably evaluate power grid reserve projects and formulate power grid reserve project management mechanisms is of great significance for improving project management levels, optimizing resource allocation, and realizing the sustainable development of power grid enterprises. This paper proposes an evaluation method for power grid reserve projects based on the matter-element model. First, considering the influence factors of technology, economy, environment, etc., this paper constructs an evaluation index system for reserve projects considering policy, safety, and benefits; The method of weighting determines the index weight, and evaluates the project in combination with the matter-element model, laying a foundation for the research of the project reserve mechanism, and finally uses examples to verify the effectiveness of the method.