| Issue |
E3S Web Conf.
Volume 194, 2020
2020 5th International Conference on Advances in Energy and Environment Research (ICAEER 2020)
|
|
|---|---|---|
| Article Number | 03011 | |
| Number of page(s) | 5 | |
| Section | Power Engineering and Power Generation Technology | |
| DOI | https://doi.org/10.1051/e3sconf/202019403011 | |
| Published online | 15 October 2020 | |
Software Design of Intelligent Detection Platform for Electric Energy Measuring Equipment
1 Yunnan Electric Power Research Institute, Kunming 65027, Yunnan Province, China.
2 Key Laboratory of CSG for Electric Power Measurement, Kunming 650217, Yunnan Province, China.
3 Metrology Center of Guangdong Power Grid Corporation, Guangzhou 510000, Guangdong Province, China.
* Corresponding author: futao_phd@163.com
This paper aims to effectively detect and estimate the performance of various electric energy measuring equipments. We develop an intelligent detection platform for the electric energy measuring equipment which includes detection software, data storage, intelligent protocol library, virtual network and alarm program. By designing the intelligent protocol library and virtual network, data from different kinds of acquisition terminals can be collected by the proposed intelligent platform. Compared with the conventional electric energy measuring equipment, the intelligent electric energy measuring equipment can greatly save time and improve detection efficiency.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.