A hydrological information monitoring system

Abstract

The invention provides a hydrological information monitoring system, which includes a background server, an unmanned aerial vehicle and a plurality of monitoring devices. Each of the monitoring devices includes dissolved oxygen sensors, pH sensors, chlorophyll sensors, ammonia nitrogen sensors and other water quality sensors, as well as communication modules, microprocessors and buoys. By distributing multiple monitoring devices in the waters of the breeding grounds, various types of water body information are obtained in real time and sent to the background server in a unified manner. The judgment model predicts the water quality status of the aquaculture site, so as to monitor the aquaculture water environment accurately in real time. Field sampling is not required, especially for large-scale aquaculture waters, which saves the long-term sampling process and greatly improves efficiency. At the same time, the hydrological information monitoring system provided by the invention is simple and economical to implement, and provides an important reference for fish farming.

Description

Technical field [0001] The present invention relates to the field of hydrological monitoring, in particular, to a hydrological information monitoring system. Background technique [0002] In the fishery breeding, the quality of water quality is an important factor in determining the production and quality of the breeding. Therefore, it is necessary for the water quality monitoring of aquaculture due to water quality. The water quality index affecting the growth and development of the fish mainly includes dissolved oxygen, pH, ammonia nitrogen content, nitrite, etc., and the water quality chlorophyll a content, blue algae density, etc. can reflect the degree of eutrophication of water body. In the prior art, it is analyzed for regular water samples to determine if the water body is suitable for the growth of the fish, and the real-time performance is poor, and the sample is more artificial acquisition, and the operation is much lower, and the frequency is low. For large scale farm...

AI Technical Summary

Problems solved by technology

In the prior art, water samples are regularly taken for analysis to determine whether the water body is suitable for fish growth. The real-time performance is poor, and most of the samples are obtained manually, which is cumbersome to operate so that the frequency is low. For large-scale breeding sites, Sampling of waters far from shore is also more difficult

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