Research on Adaptive Hidden Danger Identification Characteristic of Intelligent Power System
Sanqiang Chen, Ke Wu, Jiangmiao Zhu
Available Online November 2019.
- https://doi.org/10.2991/dramclr-19.2019.21How to use a DOI?
- Electric process；Intelligent power system；Fire prevention；Hidden danger distributions
- The principle，adaptive hidden danger identification characteristic and features of an intelligent power system are introduced in this paper. The types and distributions of common hidden dangers in electrical circuits are analyzed from a systematic perspective based on the monitoring data, which can provide basic ideas and methods for the further rectification directions of the circuits. According to an uncompleted statistics, approximately 15000 sets of intelligent power system are installed in Zhejiang Province. 583,665 hidden dangers have been monitored in which the hidden dangers of current take 41.2%, the hidden dangers of residual current occupy 37.3% and the hidden dangers of cable temperature contributes 21.5%. By the construction of socialized service system through intelligent electricity and electric fire prevention and control, the accurate location and accurate investigation of an electrical fire hazard can be realized, which can effectively reduce the hidden danger of safety in the process of electricity use, reduce the number of electric fires, and raise the risk awareness of the enterprise's electricity safety. The electrical fire accidents have dropped by more than 30% in the area where the intelligent power system is installed.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Sanqiang Chen AU - Ke Wu AU - Jiangmiao Zhu PY - 2019/11 DA - 2019/11 TI - Research on Adaptive Hidden Danger Identification Characteristic of Intelligent Power System BT - Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019) PB - Atlantis Press SP - 130 EP - 135 SN - 1951-6851 UR - https://doi.org/10.2991/dramclr-19.2019.21 DO - https://doi.org/10.2991/dramclr-19.2019.21 ID - Chen2019/11 ER -