The Remote Intelligent Monitoring and Fault Diagnosis & Processing System

Article Preview

Abstract:

This subject is proposed based on the conflict between the heavy workload for maintenance personnel and few personnel at the geological survey automated master station at present, and the purpose is to solve the problem that the SCADA real-time monitoring system, UPS power supply system, automated support system as well as the automated computer room environment and equipment cannot achieve the real-time monitoring, fault diagnosis and accident processing of the remote unified platform. It proposes the remote online automatic monitoring and intelligent diagnosis and processing system on the basis of the OPEN3000 system platform. It uses the distributed network architecture in the network design to protect the security of database and the video records in the video system; it adopts the modular structure design, and combined with the expert system and the rule database design of database knowledge, thereby solving the technical problem that the real-time monitoring and fault diagnosis of SCADA, UPS, video and many other systems and equipment are being integrated into a unified platform.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 479-481)

Pages:

2625-2629

Citation:

Online since:

February 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Wang Qiuyan, Ju Jianbo. The Research Situation and Development Trend of the Fault Diagnosis Technology [J] . Electronic Measurement Technology, 2009.04: P26

Google Scholar

[2] Jin Xin, Ren Xianbin. Research Review on the Intelligent Fault Diagnosis Technology [J] . Electronic Measurement Technology, 2009.07: P12

Google Scholar

[3] Wu Weijing. Design and Realization of the remote monitoring intelligent diagnosis system at the unattended substation [J] . Heibei Electric Power Technology, 2011.01: P30

Google Scholar

[4] Huang Yizhuang. The integrated system of the distribution network's intelligent monitoring and management of the remote meter reading [J] . Power System Protection and Control, 2010.21:P45

Google Scholar

[5] Su Min. The node classification method for the unknown circuit fault diagnosis [J] . Instrument Technology, 2011.07: P24

Google Scholar

[6] Hu Leigang. Approximate method for representing the space fault diagnosis by the coordination of discordant information [J] . System Engineering and Electronic Technology, 2011.08: P33

Google Scholar