Hydrological information monitoring system

Abstract

The invention provides a hydrological information monitoring system, which comprises a background server, a drone and multiple monitoring devices, wherein each monitoring device comprises water quality sensors such as a dissolved oxygen sensor, a pH sensor, a chlorophyll sensor and an ammonia nitrogen sensor, and a communication module, a microprocessor, and a buoy. The multiple monitoring devicesare distributed in a water area of an aquaculture site, the information of various kinds of water bodies is acquired in real time and is sent to the background server in a unified mode, the drone ismatched to acquire the radiation image and the optical image of the water area of each monitoring device, the water quality state of the aquaculture site is prejudged according to a preset judgment model, and the aquaculture water body environment can be monitored accurately in real time. Field sampling by a person is not needed, a long-term cycling sampling process is saved especially for a large-scale aquaculture water area, and the efficiency is greatly improved. Besides, the hydrological information monitoring system provided by the invention is simple and economic to execute, and an important reference is provided for fishery aquaculture.

Description

technical field [0001] The invention relates to the field of hydrological monitoring, in particular to a hydrological information monitoring system. Background technique [0002] In fish farming, the quality of water is an important factor that determines the output and quality of aquaculture. There are too many aquaculture accidents caused by water quality. Therefore, it is a necessary work procedure to do a good job in aquaculture water quality monitoring. The water quality indicators that affect the growth and development of fry mainly include dissolved oxygen, pH value, ammonia nitrogen content, nitrite, etc., while the chlorophyll a content and cyanobacteria density of water quality can reflect the degree of eutrophication of the water body. 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 ...

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

Images