Water environment intelligent monitoring system and method based on deep learning

Abstract

The invention discloses a water environment intelligent monitoring system and method based on deep learning. The system comprises a water environment monitoring terminal, an edge processing device anda cloud management platform. The water environment monitoring terminal comprises a first micro central processor; a water surface monitoring camera, a position positioning module, a wireless radio frequency Lora module, a first wireless multimode communication module, a solar battery pack module and a first data storage module, which are electrically connected with the first micro central processor. The edge processing device comprises a second micro central processor; and an Ethernet module, a GPU processor, a second wireless multimode communication module and a second data storage module, which are electrically connected with the second micro central processor. The cloud management platform comprises a water pollution identification server, a Web server and a database server, wherein the Web server and the database server are electrically connected with the water pollution identification server. According to the invention, water environment long-term monitoring and pollution image evidence obtaining can be realized, and monitored image data can be stored and early warned.

Description

technical field [0001] The invention relates to the technical field of water environment monitoring, in particular to an intelligent water environment monitoring system and method based on deep learning. Background technique [0002] In the construction of ecological civilization, it is necessary to systematically promote the prevention and control of water pollution, and water environment monitoring is an important means of water pollution prevention and control. As a necessary means to detect the degree of water pollution and analyze the causes of water pollution, water environment monitoring is an important part of environmental protection. Today, environmental protection is increasingly becoming a hot topic, and it has more important significance. Most of the existing water environment monitoring equipment adopts the method of water quality analysis, which often has the problem that the floating objects on the water surface and the pollution status of the water surface c...

AI Technical Summary

Problems solved by technology

The existing water environment monitoring equipment mostly adopts the method of water quality analysis, which often has the problem that the floating objects on the water surface and the pollution status of the water surface cannot be displayed directly through images, and it cannot adapt to places with poor signal quality and insufficient energy supply in the field, nor can it take into account Based on the above problems, in order to solve the problem of intelligent identification of water environment and realize long-term effective monitoring, it is urgent to develop an intelligent pollution identification, adaptive image and video forensics, and automatic pollution monitoring. Water Environment Pollution Monitoring System for Early Warning

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