Factory-like aquaculture water quality dissolved oxygen predicting and controlling method and system
An aquaculture and predictive control technology, applied in general control systems, control/regulation systems, adaptive control, etc., can solve the problems of high control cost and low dissolved oxygen prediction accuracy, achieve real-time control, improve accuracy and Timeliness and the effect of improving forecast accuracy
Inactive Publication Date: 2018-02-23
CHINA AGRI UNIV
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[0005] In order to solve the problems of low dissolved oxygen prediction accuracy and high control cost in the prior art, the present invention provides a method and system for the prediction and control of dissolved oxygen in industrial aquaculture water quality
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[0024] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.
[0025] With the rapid development of industrial aquaculture, dissolved oxygen, as an important indicator of aquaculture, has a very important impact on the growth, disease and prediction of fish, shrimp and other aquatic products. The main factors affecting dissolved oxygen are air humidity, light, atmospheric pressure, carbon dioxide, water temperature, pH value and electrical conductivity, etc. These influencing factors themselves have intricate interrelationships. Dissolved oxygen is related to different seasons, measurement time, location and depth of measurement points, and depth and surface area of fish ponds, and it is difficult to establish an accurate prediction...
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The invention provides a factory-like aquaculture water quality dissolved oxygen predicting and controlling method and system. The method comprises the steps that S1 the meteorological data and waterquality data of a factory-like aquaculture system are acquired on-line, and a training data set is acquired according to the meteorological data and the water quality data; S2 based on the training data set, a genetic particle swarm algorithm is used to optimize the fuzzy rule number and membership function value of a fuzzy neural network model to acquire a dissolved oxygen prediction model; S3 the real-time meteorological data and water quality data are input into the dissolved oxygen prediction model to acquire a dissolved oxygen prediction value; and S4 according to the dissolved oxygen prediction value, the content of factory-like aquaculture water quality dissolved oxygen is adjusted. According to the factory-like aquaculture water quality dissolved oxygen predicting and controlling method and system, the accurate dissolved oxygen prediction model is established; the prediction accuracy is improved; real-time dissolved oxygen control is realized; the accuracy and timeliness of oxygenation are improved; and the economic cost of dissolved oxygen is reduced.
Description
technical field [0001] The invention relates to the technical field of industrialized aquaculture, in particular to a method and system for predicting and controlling dissolved oxygen in industrialized aquaculture water. Background technique [0002] With the increasing promotion and popularization of cage culture and pond culture in industrial aquaculture, the breeding density continues to increase, and the detection and control of feed input, disease prevention, water temperature, and dissolved oxygen concentration in water are very important to improve the production and quality of aquaculture. Among them, the detection and control of dissolved oxygen concentration have become the key factors to improve the breeding density, yield and quality. [0003] According to relevant data, the feed coefficient of farmed fish is doubled when the dissolved oxygen content is 3 mg / L compared with that when the dissolved oxygen content is 7 mg / L; L is 20% to 30% faster, and the feed co...
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IPC IPC(8): G05B13/04G06N3/00G06N3/04
CPCG05B13/042G06N3/006G06N3/043
Inventor 位耀光张龙他旭翔肖瑞超李道亮
Owner CHINA AGRI UNIV