Distributed electric equipment state monitoring system based on .NET platform
被引:0
作者:
Yang, Tingfang
论文数: 0引用数: 0
h-index: 0
机构:
Changsha University of Science and Technology, Changsha 410077, China
Huazhong University of Science and Technology, Wuhan 430074, ChinaChangsha University of Science and Technology, Changsha 410077, China
Yang, Tingfang
[1
,2
]
Liu, Pei
论文数: 0引用数: 0
h-index: 0
机构:
Huazhong University of Science and Technology, Wuhan 430074, ChinaChangsha University of Science and Technology, Changsha 410077, China
Liu, Pei
[2
]
Li, Jinglu
论文数: 0引用数: 0
h-index: 0
机构:
Changsha University of Science and Technology, Changsha 410077, ChinaChangsha University of Science and Technology, Changsha 410077, China
Li, Jinglu
[1
]
Zeng, Xiangjun
论文数: 0引用数: 0
h-index: 0
机构:
Changsha University of Science and Technology, Changsha 410077, ChinaChangsha University of Science and Technology, Changsha 410077, China
Zeng, Xiangjun
[1
]
机构:
[1] Changsha University of Science and Technology, Changsha 410077, China
[2] Huazhong University of Science and Technology, Wuhan 430074, China
来源:
|
2008年
/
Electric Power Automation Equipment, 38 New Mofan Malu, Nanjing, 210003, China卷
/
28期
关键词:
Data acquisition - Decision making - Failure analysis - Internet - Network security - Standby power systems - Web services;
D O I:
暂无
中图分类号:
学科分类号:
摘要:
A fault diagnosis and state monitoring scheme based on Internet/Intranet Web service is put forward for the main electric equipment of power system. Network technology is introduced into the data acquisition and diagnostic decision-making system to efficiently obtain its real-time state information. The objects and contents monitored as well as the network security strategy are emphasized. A three-layer B/S model is proposed for it. The software system suitable for distribution environment is developed on.NET platform for the remote real-time monitoring and state diagnosis of the main electric equipment located in different regional substations, which provides the accurate information for fault analysis and diagnosis of main electric equipment.