Visual water quality information monitoring system based on Internet of Things and big data technology

Abstract

The invention discloses a visual water quality information monitoring system based on the Internet of Things and a big data technology. The system comprises a server part, a device layer and a communication layer, and the server layer is a PC terminal and is composed of a plurality of servers; the device layer comprises a water quality monitoring sensor, an underwater imaging system, an underwater unmanned aerial vehicle, an unmanned ship, a Big Dipper / GPS positioning device, a solar battery and a power supply management module; the communication layer is composed of wireless communication devices; and the servers respectively realize fixed water quality monitoring and dynamic water quality monitoring. The system can realize the all-weather remote three-dimensional automatic monitoring of the monitored water quality, can completely record the dynamic change process and the visual display of the water quality data of every monitoring point, provides analysis data, and provides a basis for decision makers. The system can preserve and analyze a large number of water quality data, and can be effectively used in the fields of marine environmental monitoring, pollution monitoring and tracing, and aquaculture detection.

Description

technical field [0001] The invention relates to a water quality information monitoring system, in particular to a visualized water quality information monitoring system based on the Internet of Things and big data technology. Background technique [0002] At present, environmental protection, especially the protection of water resources, is an urgent issue facing all countries in the world. In order to effectively prevent major water pollution accidents, prevent and improve the current situation of water resources and the environment, meet the national requirements for water source management, and meet the overall guidelines of the country's clean energy, it is necessary to For water quality monitoring, the existing water quality monitoring equipment has a single detection method, limited detection range, low detection accuracy, low work efficiency, and it is not convenient to judge the correctness of data. There are problems such as information lag and cumbersome processing...

AI Technical Summary

Problems solved by technology

The current monitoring method is mainly that the construction unit regularly checks the relevant points through manual observation, which has low efficiency, poor reliability and high cost

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