Design and implementation of intelligent reservoir inspection system based on Internet of Things and deep learning
DOI:
https://doi.org/10.54097/hset.v56i.10701Keywords:
Intelligent patrol; Internet of Things; Multi-source Information Fusion; Deep Learning; patrol standardization.Abstract
The safety test of reservoir dam is the focus of reservoir safety management. Aiming at the technical and management problems in the traditional inspection methods, this paper proposes an intelligent inspection system of reservoir based on Internet of things and deep learning. Based on the Internet of things and deep learning technology, the system constructs a system architecture including perception layer, information fusion layer, intelligent diagnosis decision-making layer and inspection terminal layer, which realizes the inspection requirements of intelligent perception, information fusion, safety identification, emergency management, etc. Taking ZhangJiang reservoir as an example, the intelligent inspection system of reservoir based on Internet of things is developed, which can meet the needs of daily management and safety management of reservoir. It is an important part of realizing intelligent water conservancy construction of reservoir engineering.
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