In:
IOP Conference Series: Earth and Environmental Science, IOP Publishing, Vol. 358, No. 4 ( 2019-12-01), p. 042052-
Abstract:
Field operation safety is the key to the safety production of electric power enterprises. The current safety supervision of on-site work mainly relies on the management regulations. In lack of efficient, reliable and intelligent technical means, the management personnel have to supervise and inspect safety procedure on-site. In order to solve the high cost problem of on-site safety management, an intelligent auxiliary system based on deep learning convolutional neural network is proposed in this paper. The system mainly includes three parts: The portable terminal of operation ticket, AI data recorder and neural network calculation unit. It can realize real-time detection of on-site violations during power grid operation. The deep learning AI method is innovatively introduced into the field of safety supervision of power work site, and it provides a new intelligent way of safety supervision.
Type of Medium:
Online Resource
ISSN:
1755-1307
,
1755-1315
DOI:
10.1088/1755-1315/358/4/042052
Language:
Unknown
Publisher:
IOP Publishing
Publication Date:
2019
detail.hit.zdb_id:
2434538-6