Autosoft Journal

Online Manuscript Access

Research On Application Of Location Technology In 3d Virtual Environment Modelling System For Substation Switch Indicator



Substation inspection work plays a very important role in ensuring the normal production and the safe operation of a transformer substation. Use of a substation inspection robot can effectively solve the omission problems of a manual inspection. It can further improve the unmanned and automation of substation and improve security of station. A substation inspection system requires the establishment of a spatial position relation between the robot and the inspection object in the monitoring station. Key technology is the spatial location of the object being detected in the substation. The position of inspection object is unknown. This paper gives technical route of monocular vision positioning system based on switch indicator sign cooperative target. The knife switch indicator is one of the most important objects in the substation inspection. Usually the switch indicator lies in the middle or top of the substation equipment and conventional method can’t measure. This paper presents a substation label measurement method based on monocular vision. In this method, the label frame of knife switch indicator is as a cooperative target. The 3D coordinates and attitude of the label frame can be calculated in a camera coordinates system. At the same time, this paper introduces an extraction process of knife brake indicator label with multi-features under complex background. At last, we do simulation experiment for positioning technology of 3D virtual environment modeling system for substation switch indicator. Simulation results show that the method introduced in this paper can realize positioning of substation switch indicator label.



Total Pages: 7
Pages: 115-122


Manuscript ViewPdf Subscription required to access this document

Obtain access this manuscript in one of the following ways

Already subscribed?

Need information on obtaining a subscription? Personal and institutional subscriptions are available.

Already an author? Have access via email address?


Volume: 24
Issue: 1
Year: 2018

Cite this document


Alireza A.F. Image and Vision Computing 27.8 (2009)

Chen H. (2010). Monocular vision target positioning measure method based on cross ratio invariant (Master’s degree thesis). Tianjing University.

Deng, Lie, Qiang Lyu, and Simon X. Yang. "Intelligent Information Technologies in Fruit Industry." Intelligent Automation & Soft Computing 21.3 (2015): 265-267. Crossref. Web.

Ding W. Chinese Journal of Scientific Instrument 29.9 (2008)

Feng C. (2013). Research on target recognition and localization based on monocular vision (Doctoral Dissertation). Nanjing University of Aeronautics & Astronautics.

Fu Q. Journal of Air Force Engineering University (Natural Science Edition) 16.4 (2015)

Guo R. Manufacturing Automation 36.5 (2014)

Hadi S.K.K. International Journal of Digital Information and Wireless Communications 1.1 (2011)

Han L. Optoelectronic Technology 34.2 (2014)

Hu Z. Acta Automatica Sinica 27.6 (2001)

Jia Y. (2010). Research on target localization method for mobile robot based on monocular vision (Master’s degree thesis). Chongxing University.

Li X. Machine Tool & Hydraulics 43.9 (2015)

Lu E. Journal of Nanjing University of Science and Technology

Sun B. Sichuan Ordnance Journal 31.4 (2010)

Sun F. Acta Automatica Sinica 32.5 (2006)

Tang X. Geospatial Information 10.3 (2012)

Tang Y. Journal of Changchun University of Science and Technology (Natural Science Edition) 37.5 (2014)

Tao L. Chinese Science Bulletin 46.3 (2001)

Wang K. Journal of Optics 35.5 (2015)

Wu F. Chinese Journal of Software 14.3 (2003)

Xiong J. Journal of System Simulation 27.4 (2015)

Xu S. Chinese Journal of Scientific Instrument 31.3 (2010)

GUO, Yang, Xiang-De ZHANG, and Xin-He XU. "An Analytic Solution for the Noncoplanar P4P Problem with An Uncalibrated Camera." Chinese Journal of Computers 34.4 (2011): 748-754. Crossref. Web.

Zhang C. (2011). Research on active safety technology of vehicle based on monocular vision (Master’s degree thesis). University of Electronic Science and Technology.

Zhao Y. Journal of North-Western Polytechnical University 27.1 (2009)

Zhao L. Computer Technology and Development 22.6 (2012)

Zheng Q. (2013). Target recognition and localization based on monocular vision (Master’s degree thesis). Shandong University.

Zhou X. Chinese Journal of Computers 26.12 (2003)

Zhu C. Journal of Beihang University 34.5 (2008)

Zou, Yingyong et al. "Research on Algorithm for Automatic License Plate Recognition System." International Journal of Multimedia and Ubiquitous Engineering 10.1 (2015): 101-108. Crossref. Web.


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)

SJR: "The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric."

Journal: 1995-Present


TSI Press
18015 Bullis Hill
San Antonio, TX 78258 USA
PH: 210 479 1022
FAX: 210 479 1048