Research on Intelligent Monitoring and Early Warning of Electric Power Safety Based on Artificial Intelligence Technology. Issue 5 (January 2021)
- Record Type:
- Journal Article
- Title:
- Research on Intelligent Monitoring and Early Warning of Electric Power Safety Based on Artificial Intelligence Technology. Issue 5 (January 2021)
- Main Title:
- Research on Intelligent Monitoring and Early Warning of Electric Power Safety Based on Artificial Intelligence Technology
- Authors:
- Liu, Yu
Wang, Zuowei
Pan, Yingli
Zuo, Yue - Abstract:
- Abstract: In recent years, with the continuous improvement of the national economic development level, the scale of urban construction in China is also gradually expanding. Therefore, since the monitoring system plays an important role in various industries, the establishment of an intelligent automatic management system can determine the unstable factors in the monitoring management and improve the safety performance of the monitoring system, so that the normal operation of the monitoring platform can be maintained. The establishment and function of the intelligent monitoring and early warning system are analyzed and studied in the paper, which combines traditional video monitoring equipment and data acquisition equipment into one, and launches a monitoring and early warning solution.
- Is Part Of:
- Journal of physics. Volume 1748:Issue 5(2021)
- Journal:
- Journal of physics
- Issue:
- Volume 1748:Issue 5(2021)
- Issue Display:
- Volume 1748, Issue 5 (2021)
- Year:
- 2021
- Volume:
- 1748
- Issue:
- 5
- Issue Sort Value:
- 2021-1748-0005-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-01
- Subjects:
- Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/1748/5/052046 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25655.xml