Aquaculture method and system based on dissolved oxygen prediction

A technology for aquaculture and dissolved oxygen, which is applied in specific environment-based services, predictions, transmission systems, etc. It can solve problems such as slow model training, expensive dissolved oxygen sensors, and oversized equipment, and reduce hardware deployment costs. Effect

Active Publication Date: 2021-07-02
SOUTHWEST UNIVERSITY FOR NATIONALITIES
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  • Abstract
  • Description
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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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  • Aquaculture method and system based on dissolved oxygen prediction

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Embodiment 1

[0061] Such as figure 1 As shown, the present invention is based on the aquaculture method and system of dissolved oxygen prediction, and the air temperature, air pressure, water temperature, air humidity and other four types of aquaculture data collected by DHT11 temperature and humidity sensor, DS18B20 water temperature sensor, and BMP180 air pressure sensor. On this basis, the fifth type of data, that is, the predicted value of dissolved oxygen, is obtained through the dissolved oxygen prediction model to replace the expensive dissolved oxygen sensor in the traditional aquaculture system and reduce the system hardware cost. These five types of data are fused into environmental data, based on which the real-time fishery health value is calculated, so as to realize real-time control of equipment such as aerators. In addition, data visualization technology is introduced to visualize high-dimensional data of environmental data to provide data support for users in terms of breed...

Embodiment 2

[0082] Among them, the specific training steps of the dissolved oxygen prediction model include:

[0083] Step (14): Divide the data set into a training set and a test set at a ratio of 4:6. The data set mainly comes from the water environment data set of Poyang Lake Station released by China Science Data and the public hydrological environment data set of Meaher Park, Alabama, USA , the data set includes the fixed-point observation data of Poyang Lake in January, April, July and October each year from 2013 to 2018, and the accumulated observation data of Meaher Park in 12 months of 2016, a total of 18,000 data;

[0084] Step (15): Input the training set into the dissolved oxygen prediction model of skleam to obtain an initial model;

[0085] Step (16): Use the least squares method to calculate the partial derivative and iteratively adjust the parameters.

[0086] Step (17): Set the objective function as

[0087] Step (18): Find the stationary point in the multivariate li...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/02G16C20/70G16C20/20G06F16/2458G06F16/248H04W4/38H04W88/16H04L29/06H04L29/08G16Y10/05G16Y20/10G16Y40/10G16Y40/20G16Y40/35
CPCG06Q10/04G06Q50/02G16C20/70G16C20/20G06F16/2477G06F16/2465G06F16/248H04W4/38H04W88/16H04L67/025H04L67/12G16Y10/05G16Y20/10G16Y40/10G16Y40/20G16Y40/35G06F2216/03H04L67/60H04L67/133Y02A40/81
Inventor 池晨陈雅茜
Owner SOUTHWEST UNIVERSITY FOR NATIONALITIES
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