| Cite this article: | 张晔,李艳丽,赵礼,等.浙江省水利工程质量智慧检测与检测行业监管研究[J].灌溉排水学报,,():-. |
| ZHANG Ye,LI Yanli,ZHAO Li,et al.浙江省水利工程质量智慧检测与检测行业监管研究[J].灌溉排水学报,,():-. |
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| DOI： |
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| Research on Quality Intelligence Detection and Detection Industry Supervision of Water Conservancy Projects in Zhejiang Province |
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ZHANG Ye1, LI Yanli1, ZHAO Li1, FU Guoqiang1, FEI Huafei2, LIU Xinyang3, WANG Shunsheng3
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1.Zhejiang Water Conservancy and Hydropower Engineering Quality and Safety Supervision and Management Center;2.Hangzhou Qianjia Network Co,Ltd;3.North China University of Water Resources and Electric Power
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| Abstract: |
| Aiming at the problems existing in the market and industry supervision of the quality inspection industry of water conservancy projects in Zhejiang Province, based on the Internet of Things, a framework for quality intelligent detection of water conservancy projects in Zhejiang Province was proposed, which realize the collection, commissioning, monitoring of detection personnel behavior, detection of sample parameters and real-time transmission, storage and analysis of detection relevant data. Intelligence detection and supervision of water conservancy project quality industry in Zhejiang Province were integrated, and a supervision model of water conservancy project quality intelligent detection industry in Zhejiang Province was put forward, which included supervision content, supervision characteristics, supervision system, supervision concept and supervision function. The supervision efficiency and cost of intelligent detection industry were analyzed. Compared with traditional inspection industry supervision, intelligent inspection industry supervision realized the sharing of detection resources and relevant data, improved the utilization rate of detection resources, detection efficiency and inspection industry supervision efficiency, and reduced the cost of detection and supervision. |
| Key words: intelligent detection architecture; supervision Model; internet of Things technology; Zhejiang Province |
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