Discussion on Security Management and Control Mechanism Based on Power System Big Data Platform

2018 ◽  
Author(s):  
Tong Xinyu ◽  
Song Xingwang ◽  
Yang Qiaochuan
Keyword(s):  
Big Data ◽  
Power System ◽  
Control Mechanism ◽  
Security Management ◽  
Data Platform ◽  
And Control

scholarly journals Fault Diagnosis and Trace Method of Power System Based on Big Data Platform

2018 ◽  
Vol 394 (4) ◽  
pp. 042116 ◽  
Author(s):  
Lei Wang ◽  
Lingling Shang ◽  
Mengchao Ma ◽  
Zhiguang Ma
Keyword(s):  
Big Data ◽  
Fault Diagnosis ◽  
Power System ◽  
Data Platform

scholarly journals Complex Power System Status Monitoring and Evaluation Using Big Data Platform and Machine Learning Algorithms: A Review and a Case Study

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-21 ◽  
Author(s):  
Yuanjun Guo ◽  
Zhile Yang ◽  
Shengzhong Feng ◽  
Jinxing Hu
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Smart Grid ◽  
Power System ◽  
Data Management ◽  
Power Grid ◽  
Technical Solution ◽  
Data Platform ◽  
Complex Power ◽  
Big Data Technology

Efficient and valuable strategies provided by large amount of available data are urgently needed for a sustainable electricity system that includes smart grid technologies and very complex power system situations. Big Data technologies including Big Data management and utilization based on increasingly collected data from every component of the power grid are crucial for the successful deployment and monitoring of the system. This paper reviews the key technologies of Big Data management and intelligent machine learning methods for complex power systems. Based on a comprehensive study of power system and Big Data, several challenges are summarized to unlock the potential of Big Data technology in the application of smart grid. This paper proposed a modified and optimized structure of the Big Data processing platform according to the power data sources and different structures. Numerous open-sourced Big Data analytical tools and software are integrated as modules of the analytic engine, and self-developed advanced algorithms are also designed. The proposed framework comprises a data interface, a Big Data management, analytic engine as well as the applications, and display module. To fully investigate the proposed structure, three major applications are introduced: development of power grid topology and parallel computing using CIM files, high-efficiency load-shedding calculation, and power system transmission line tripping analysis using 3D visualization. The real-system cases demonstrate the effectiveness and great potential of the Big Data platform; therefore, data resources can achieve their full potential value for strategies and decision-making for smart grid. The proposed platform can provide a technical solution to the multidisciplinary cooperation of Big Data technology and smart grid monitoring.

scholarly journals Enterprise Financial Risk Identification and Information Security Management and Control in Big Data Environment

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Ran Wei ◽  
Sheng Yao
Keyword(s):  
Big Data ◽  
Information Security ◽  
Internal Control ◽  
Financial Risk ◽  
Security Management ◽  
Risk Identification ◽  
Information Security Management ◽  
Business Application ◽  
Data Environment ◽  
And Control

With the deepening of business informatization, all kinds of business application data are rapidly gathering, which promotes enterprises to enter the era of big data. Enterprises begin to build the concept of big data, deepen the understanding of big data, extract potential data value, and improve the operation ability of enterprises and information systems. At the same time, big data brings internal control information to the system, which is becoming more and more challenging, so enterprises pay more and more attention to the security of the information system. This paper aims to introduce the enterprise financial risk identification and information security management and control under the big data environment and master the enterprise financial risk identification method so that the enterprise can adapt to the needs of the times competition faster and better. This paper introduces the method of identifying financial risk in the background of big data by classifying the methods of financial risk identification and designing the factor model. Through the experimental investigation of the company's financial asset rate, the enterprise financial risk situation is displayed, and the enterprise can improve the internal management to control the financial risk within a certain range. The experimental results show that from 2016 to 2020, the internal control and asset rate of the enterprise affect the financial risk of the enterprise, 82% of the operators only have a reasonable debt structure and sufficient solvency, the operator can operate in a safe state and then maintain a low financial risk, and the operator should also take measures to prevent the occurrence of risk in advance and realize the business goal of maximizing benefits.

Big Data Security Management Countermeasures in the Prevention and Control of Computer Network Crime

2022 ◽  
Vol 30 (7) ◽  
pp. 0-0
Keyword(s):  
Big Data ◽  
Data Security ◽  
Prevention And Control ◽  
Computer Network ◽  
Security Management ◽  
Computer Crime ◽  
Judicial Practice ◽  
Scene Investigation ◽  
And Control ◽  
Characteristic Measure

This paper aims to study the Countermeasures of big data security management in the prevention and control of computer network crime in the absence of relevant legislation and judicial practice. Starting from the concepts and definitions of computer crime and network crime, this paper puts forward the comparison matrix, investigation and statistics method and characteristic measure of computer crime. Through the methods of crime scene investigation, network investigation and network tracking, this paper studies the big data security management countermeasures in the prevention and control of computer network crime from the perspective of criminology. The experimental results show that the phenomenon of low age is serious, and the number of Teenagers Participating in network crime is on the rise. In all kinds of cases, criminals under the age of 35 account for more than 50%.

Application of Smart Grid Technology in the Coalmine Power System

2013 ◽  
Vol 441 ◽  
pp. 236-239
Author(s):  
Zhan Jun Gao ◽  
Jun Shan Wang
Keyword(s):  
Power System ◽  
Automatic Regulation ◽  
Differential Protection ◽  
Auxiliary Equipment ◽  
Intelligent Monitoring ◽  
Scada System ◽  
Data Platform ◽  
Protection Technology ◽  
And Control ◽  
Smart Grid Technology

According to the problems emerged in the coalmine power system, such as poor reliability and lagging protection technology principles, this paper proposed some advices about the construction of the intelligent coalmine power system. Using SCADA system and GIS to locate the fault and recovery it; using Differential protection and intelligent monitoring terminal to guarantee the reliability of the coalmine power system; using Panoramic Data Platform to monitor the coalmine power system; using a series of auxiliary equipment to realize the automatic regulation and control of the coalmine power system.

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