Aquaculture method and system based on dissolved oxygen prediction

Abstract

The invention discloses an aquaculture method and system based on dissolved oxygen prediction. Four kinds of aquaculture data including air temperature, air pressure, water temperature and air humidity are collected through a DHT11 temperature and humidity sensor, a DS18B20 water temperature sensor and a BMP180 air pressure sensor. On the basis, the fifth type of data, namely the predicted value of the dissolved oxygen, is obtained through the dissolved oxygen prediction model so as to replace a high-cost dissolved oxygen sensor in a traditional aquaculture system, and the hardware cost of the system is reduced. The five types of data are fused into environmental data, and a real-time fishery health value is calculated based on the environmental data, so that real-time control of equipment such as an aerator is realized. In addition, a data visualization technology is introduced, high-dimensional data visualization is carried out on environment data, and data support is provided for users in the aspects of cultivation condition estimation, water quality judgment and the like.

Description

technical field [0001] The invention relates to the field of aquaculture automation, in particular to an aquaculture method and system based on dissolved oxygen prediction. Background technique [0002] The existing aquaculture management methods are mainly divided into two types: pure artificial breeding and automatic control system. [0003] Pure artificial breeding is the most traditional farming method. Manual participation is required in every link of farming such as feeding, aerator control, water temperature adjustment, regular pond patrol, and fish disease inspection. The pure artificial breeding method has obvious disadvantages such as not opening the breeding equipment in time, and the oxygen increasing time is too short. Taking the control of the aerator as an example, it is necessary to control the opening of the aerator and the length of the oxygenation time based on experience. If the timing of oxygenation cannot be accurately judged, or the fish pond manager...

AI Technical Summary

Problems solved by technology

[0013] The technical problem to be solved by the present invention is that the existing dissolved oxygen sensor is expensive, the equipment can only be controlled by setting a fixed time and a fixed threshold, the data utilization rate is not high, the equipment volume is too large, the model prediction effect is unstable and the model training speed is slow etc. The purpose is to provide an aquaculture method and system based on dissolved oxygen prediction. Based on four types of environmental data collected by sensors, such as air temperature, air pressure, water temperature, and air humidity, the dissolved oxygen prediction model is used to perform regression analysis and prediction on these four types of data. , the prediction accuracy and operating efficiency are better than other models, and can replace the expensive dissolved oxygen sensor, thereby greatly reducing the hardware deployment cost of the system

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