Continuous Trust Evaluation of Power Equipment and Users Based on Risk Measurement

Shi, Chuang; Fei, Jiaxuan; Zhang, Xiaojian; Yao, Qigui; Fan, Jun

doi:10.1155/2020/8895804

Cited by 3 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Access control technology in the field of information security mainly ensures the security of data and systems by limiting and managing access to resources by users, devices or systems. Currently, access control technology presents diversity and complexity of [22,23].…”

Section: Current Status Of Access Control Technologymentioning

confidence: 99%

Analysis and Research on Secure Access Control Technology of Industrial Internet of Things Based on ZTM Model

Nie

2024

JCSANDM

View full text Add to dashboard Cite

The security threat of IIoT is becoming increasingly serious. In order to address this challenge, security access control technology based on the ZTM model has become a hot research topic. The aim of this study is to conduct in-depth analysis and research on the security access control technology applied by the ZTM model in industrial Internet of Things environments. By analyzing the current challenges of IIOT security and the limitations of traditional security models, this paper proposes a series of security access control technologies related to the ZTM model, aiming to quantify and evaluate the effectiveness of access control policies, zero trust of the system, and comprehensive risk assessment. By using empirical research methods, this study verified the feasibility of the proposed technology in actual industrial Internet of Things environments and demonstrated the significant effect of the ZTM model in reducing security risks and improving system credibility. The experimental results showed that the optimized security access control technology improved security performance by 28% and the missed detection rate was as low as 3.2%. This study provides useful insights for practical applications in the field of secure access control and provides a solid foundation for future research.

show abstract

Section: Current Status Of Access Control Technologymentioning

confidence: 99%

Analysis and Research on Secure Access Control Technology of Industrial Internet of Things Based on ZTM Model

Nie

2024

JCSANDM

View full text Add to dashboard Cite

show abstract

“…Therefore, the unreasonable use and waste of electrical energy is generally controlled by demand-side management of the grid [13][14][15]. Traditional demand side management (DSM) of the grid is used by electric utilities to control the rate of generation-side investment by means of priority supply or orderly supply with political coercion, but these methods cannot effectively address the problem of building more new generation and transmission facilities to meet the demand on the electricity consumption side in the long term [16][17][18][19]. With the deepening of the national electricity market reform, demand-side management is gradually developing towards a more competitive market nature of demand-side response [20].…”

Section: Introductionmentioning

confidence: 99%

A fuzzy mathematical model-based approach to customer-side energy management for power companies

Teng

2023

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

The power industry has a long history of unreasonable structure of electricity consumption, high energy-consuming enterprises, low efficiency of electricity, electric energy in the current is still a bottleneck that restricts economic development. First, a fuzzy mathematical model is established and optimized using adaptive fuzzy control, which can transform the fuzzy information of people’s input language into operation instructions and perform real-time regulation. Then the structure of the power customer side energy management system is designed to control the flexible load of the power customer. Describe the control principles of different devices, and analyze the strategies for start/stop control of power generation devices and charge/discharge control of energy storage devices. This paper combined with the actual situation of the current smart grid construction, researches and elaborates on the methods of power companies to carry out demand management i//n this situation, aiming to provide effective reference for power companies to carry out demand management, so that electricity can better serve the economic development. The research results show that the cost of electricity consumption of the proposed method is only $2.9426, which can effectively improve the economic efficiency of the system and improve the supply and demand balance.

show abstract

“…e power station is an important node in the power grid that is responsible for converting voltage and distributing electric energy. Its safety and reliability are directly related to the safety and stability of the power system [1][2][3][4][5]. According to the statistics, about half of the power equipment failures have abnormal temperature in the early stage.…”

Section: Introductionmentioning

confidence: 99%

Image Recognition Technology with Its Application in Defect Detection and Diagnosis Analysis of Substation Equipment

Luo

Rukuo

et al. 2021

Scientific Programming

View full text Add to dashboard Cite

Detection of substation equipment can promptly and effectively discover equipment overheating defects and prevent equipment failures. Traditional manual diagnosis methods are difficult to deal with the massive infrared images generated by the autonomous inspection of substation robots and drones. At present, most of the infrared image defect recognition is based on traditional machine learning algorithms, with low recognition accuracy and poor generalization capability. Therefore, this paper develops a method for identifying infrared defects of substation equipment based on the improvement of traditional ones. First, based on the Faster RCNN, target detection is performed on 6 types of substation equipment including bushings, insulators, wires, voltage transformers, lightning rods, and circuit breakers to achieve precise positioning of the equipment. Afterwards, different classes are identified based on the sparse representation-based classification (SRC), so the actual label of the input sample can be obtained. Finally, based on the temperature threshold discriminant algorithm, defects are identified in the equipment area. The measured infrared images are used for experiments. The average detection accuracy achieved by the proposed method for the 6 types of equipment reaches 92.34%. The recognition rate of different types of equipment is 98.57%, and the defect recognition accuracy reaches 88.75%. The experimental results show the effectiveness and accuracy of the proposed method.

show abstract

Continuous Trust Evaluation of Power Equipment and Users Based on Risk Measurement

Cited by 3 publications

References 6 publications

Analysis and Research on Secure Access Control Technology of Industrial Internet of Things Based on ZTM Model

Analysis and Research on Secure Access Control Technology of Industrial Internet of Things Based on ZTM Model

A fuzzy mathematical model-based approach to customer-side energy management for power companies

Image Recognition Technology with Its Application in Defect Detection and Diagnosis Analysis of Substation Equipment

Contact Info

Product

Resources

About