基于"5G+AI+大数据"的原水管线智慧化巡检研究
Research on Intelligent Inspection of Raw Water Pipeline Based on"5G+AI+Big Data"
葛俊杰 1毛扬帆 1沈凯1
作者信息
- 1. 杭州水务原水有限公司 浙江 杭州 311122
- 折叠
摘要
为满足社会发展的需求,开展各类生产,须引进科学技术,建立智慧化系统.基于此,为了提高原水管线巡检效率和质量,对利旧枪机摄像头、利旧球机摄像头定点巡航等开展数据采集,并在后台进行人工智能(Artificial Intelligence,AI)分析,对需要报警的行为或信息在前端和后台都发出预警,做到事前预防、事中预警、事后回溯,达到7×24 h自动对管道环境进行"体检扫描"效果.
Abstract
In order to meet the needs of social development and carry out various types of production,it is neces-sary to introduce science and technology and establish intelligent systems.Based on this,in order to improve the ef-ficiency and quality of raw water pipeline inspections,data collection is carried out on the fixed-point cruising of used gun cameras and used ball camera cameras,and Artificial Intelligence(AI)analysis is performed in the back-stage.Early warnings are issued for behaviors or information that require alarms in both the front and back ends,achieving pre prevention,mid event warning,and post event backtracking,achieving a 7×24-hour automatic"physical examination scan"effect on the pipeline environment.
关键词
5G+AI+大数据/原水管线/智慧化巡检/管道环境Key words
5G+AI+big data/Raw water pipeline/Intelligent inspection/Pipeline environment引用本文复制引用
出版年
2024
NETL
NSTL
万方数据