Complete sets of mobile operation software for in-field calibration of electric energy meter

DOI

10.2991/icmmita-15.2015.218How to use a DOI?

Keywords

Complete sets of mobile operation software; the process of in-field standardized operation; multiple data intelligent diagnostic model; abnormal operating state

Abstract

The analysis and record of data for traditional in-field calibration of electric energy meter relies on artificial work[1], which will easily lead to data error due to human factors and unable to realize standardization of calibration. The complete sets of mobile operation software for in-field calibration of electric energy meter is embedded the process of in-field standardized operation, which can standardize the in-field calibration of electric energy meter and realize automatic identification of wiring mode and calibration methods of electric energy meter. It establishes the multiple data intelligent diagnostic model based on information such as current cutoff?lose of phase?voltage-loss and severe three-phase unbalance. By analyzing and comparing with the user data of Power User Electric Energy Data Acquire System, the model can automatically identify and diagnose abnormal power consumption behavior like stealing electricity. It also establishes a model for distinguishing the abnormal operating state of electric energy meter, which can realize automatic distinction of abnormal operating state of electric energy meter.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jie Fan
AU  - Xiao Chen
AU  - Yongxian Yi
AU  - Yu Zhou
AU  - Wei Xie
PY  - 2015/11
DA  - 2015/11
TI  - Complete sets of mobile operation software for in-field calibration of electric energy meter
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 1184
EP  - 1188
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.218
DO  - 10.2991/icmmita-15.2015.218
ID  - Fan2015/11
ER  -