Monitoring data calibration method and monitoring data calibration system of aquaculture monitoring system

Abstract

The invention discloses a monitoring data calibration method and a monitoring data calibration system of an aquaculture monitoring system. The method comprises the following steps: storing the corresponding relation of each fish pond and surrounding fish ponds and the corresponding relation of fish ponds and water quality monitoring devices; calculating the average of monitoring data of the water quality monitoring devices of surrounding fish ponds corresponding to a fish pond as the reference data of the fish pond; and comparing the real-time monitoring data of the water quality monitoring device of the fish pond with the reference data, and if the comparison result is beyond a preset threshold, judging that the data of the water quality monitoring device corresponding to the fish pond is abnormal, and calibrating the abnormal monitoring data. Even if the water quality monitoring device of a fish pond malfunctions and causes monitoring data jump, normal water quality control, such as oxygen supplement control and PH value control, of the fish pond is not affected, and the water quality (such as dissolved oxygen content and PH value) of the fish pond is always kept in a safe range. Therefore, property damage of farmers due to uncontrollable device failure is avoided, and the safety and reliability of the whole monitoring system are improved.

Description

technical field [0001] The invention relates to an intelligent aquaculture monitoring technology, in particular to an intelligent aquaculture monitoring data 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 monitoring is easy to cause missed detection, and it is impossible to know the water quality of fish ponds during the night whe...

AI Technical Summary

Problems solved by technology

However, the inventors of the present invention found that in the prior art, the damage of the sensor itself and the error of data reporting were not taken into account. 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, or the pH value of the water body not to be adjusted in time, which will directly lead to the death of fish in batches and cause property losses of farmers

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