An intelligent predictive control system and method for aquaponics system

Abstract

The present invention provides an intelligent prediction and control system and method for the fish-vegetable coexisting system. The acquisition module in the system acquires the environment data of the fish-vegetable coexisting system; the prediction control module predicts the content of dissolved oxygen in a fish pound of a period in the future and generates a control command based on the prediction result; the circulation module controls the fish-vegetable coexisting system in real time and increases oxygen according to the control command. The method comprises the following steps: while conducting circulation control on the system, acquiring the environment data; standardizing and pre-treating the environment data; based on the particle swarm optimization algorithm, optimizing the fuzzy neural network control algorithm to obtain the prediction control model of the dissolved oxygen in the fuzzy neural network; and obtaining a prediction result on the content of the dissolved oxygen in a fish pound of a period in the future so as to control the fish-vegetable coexisting system. According to the invention, the prediction and control of a fish-vegetable coexisting system can be carried out at the same time, and oxygen can be added in accordance to the requirement, so that oxygen can be added more accurately and timely. Therefore, the fish-vegetable coexisting system runs accurately and stably.

Description

technical field [0001] The invention relates to the technical field of control of an aquaponics system, in particular to an intelligent predictive control system and method for an aquaponics system. Background technique [0002] The fish and vegetable symbiosis system is a new type of compound farming system. It combines circulating aquaculture and hydroponic cultivation through ingenious ecological design to achieve scientific synergy and symbiosis, so as to achieve fish farming without changing water without water quality concerns, and growing vegetables without fertilization And the ecological symbiosis effect of normal growth. Animals, plants, and microorganisms in the system achieve a harmonious and complementary ecological balance relationship, which is a low-carbon production model with the characteristics of significant saving and efficient use of resources and energy space, sustainable circulation, and environmental friendliness; Controlling the aquaponics system i...

AI Technical Summary

Problems solved by technology

[0003] At present, there is a single method for controlling the aquaponics system, and the existing means increase oxygen when the dissolved oxygen content in the aquaponics system is too low, and the hysteresis control causes fish to die in large areas due to lack of oxygen, and also brings huge economic losses

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