Fault monitoring method and system for aquaculture monitoring system

Abstract

The present invention discloses a fault monitoring method and a system for an aquaculture monitoring system. A plurality of adjacent fish ponds are set as a cluster, and all fish ponds in the same cluster are provided with a plurality of dissolved oxygen information acquisition devices. The corresponding relationship among all clusters, fish ponds and dissolved oxygen information acquisition devices is stored. When the dissolved oxygen data of one dissolved oxygen information acquisition device are lost, a cluster corresponding to the above dissolved oxygen information acquisition device is determined based on the above corresponding relationship. According to the dissolved oxygen data of other dissolved oxygen information acquisition devices in corresponding clusters, the dissolved oxygen data of the current data-lost dissolved oxygen information acquisition device are derived. According to the derived dissolved oxygen data, the oxygen supplementation control of a fish pond corresponding to the data-lost dissolved oxygen information acquisition device is conducted. In this way, even when the dissolved oxygen information acquisition device of one fish pond breaks down, the normal oxygen supplementation control f the fish pond is not influenced at all. Therefore, the dissolved oxygen amount of the fish pond is always maintained within a safe range, so that the safety and the reliability of the entire monitoring system are improved.

Description

technical field [0001] The invention relates to an intelligent aquaculture technology, in particular to an intelligent aquaculture fault self-inspection technology. Background technique [0002] In fish pond aquaculture operations, especially for fish fry, the water quality environment of fish ponds plays a vital role in the growth of fish fry. If some indicators such as fish pond temperature, oxygen content in water, and pH value (PH value) are not up to standard, it will cause stunted growth of fish, and even death in severe cases. Different fish have their own strict requirements on the temperature and oxygen content of fish ponds. [0003] At present, traditional breeding methods, including adjusting water temperature and oxygen supply, require manual judgment and then operate. Due to the large number of test points, manual detection is easy to cause missed detection, and it is impossible to know the water quality of fish ponds during the night when no one is on duty. ...

AI Technical Summary

Problems solved by technology

However, the inventors of the present invention found that the prior art did not take into account the fact that the sensor itself was damaged and did not report data. Once a similar situation occurs, it is easy to have adverse effects, especially at night when no one is on duty, and the system is completely automatic. , if such problems occur, it may cause the aeration pump to be turned on but not turned on, which will directly lead to the death of fish in batches and cause property losses of farmers

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