[1]FU Bo,JIANG Yong,WANG Hongguang,et al.Intelligent diagnosis system for patrol check images of power transmission lines[J].CAAI Transactions on Intelligent Systems,2016,11(1):70-77.[doi:10.11992/tis.201503043]
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Intelligent diagnosis system for patrol check images of power transmission lines

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 11 Number of periods: 2016 1 Page number: 70-77 Column: 学术论文—智能系统 Public date: 2016-02-25
Title:
Intelligent diagnosis system for patrol check images of power transmission lines
Author(s):
FU Bo1;  JIANG Yong1;  WANG Hongguang1;  JIANG Wendong2;  SONG Yifeng1;  WANG Cancan3;  CHU Jinliang3;  ZHAO Yanping4
1. State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China;
2. State Grid Zhejiang Electric Power Company, Hangzhou 310007, China;
3. Lishui Power Supply Company, Lishui 323000, China;
4. State Grid Shanxi Electric Power Maintenance Company, Taiyuan 030000, China
Keywords:
robot; patrol check for power transmission line; intelligent diagnosis; image processing; batch detection; database; layered software structure
CLC:
TP311.1
DOI:
10.11992/tis.201503043
Abstract:
With the growing demand for safety in power systems, more automatic equipment is being used for power inspection. The manual detection of defects from equipment-collected images has a number of drawbacks, including low efficiency and unreliable detection results. In this study, we propose an intelligent diagnosis system for patrol check images of power transmission lines. In the proposed system, we constructed a layered software structure, and using the Visual Studio 2010 development environment, we developed an image importing module, a database access module, and a text output module. We also applied various diagnostic algorithms in the system. Based on Microsoft’s ADO technology, we entered access and modification operations into the database. The software test results show that the system has a number of advantages, including high efficiency, a low error rate, and a user-friendly interface. It is readily applicable for detection of defects in patrol check images of power transmission lines.
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