Automatic feeding and water-quality monitoring control system for aquaculture and control method of system

Abstract

The invention relates to an automatic feeding and water-quality monitoring control system for aquaculture and a control method of the system. The system comprises a movable type twin-hull boat which is used for moving at feeding paths among multiple bait monitoring points in an aquaculture pond, an underwater bait recognition video surveillance module which is used for acquiring images of the bait remaining state at the bait monitoring points and uploading the images to a control center, a water-quality monitoring module which is arranged at the lower part of the movable twin-hull boat and is used for acquiring water-quality parameters during aquaculture and uploading the water-quality parameters to the control center, an automatic feeding machine which is arranged at the upper part of the twin-hull boat and is used for putting in bait, and the control center which is used for acquiring and displaying the water-quality parameters, acquiring the bait remaining ratio according to the images of the bait remaining state, and controlling the feeding motion of the automatic feeding machine. Compared with the prior art, the automatic feeding and water-quality monitoring control system is a closed-loop system with feedback, and has the advantages of accurate detection, high practicability, real-time dynamic acquiring of three-dimensional information of water quality, comprehensive information management and the like.

Description

technical field [0001] The invention relates to the field of aquaculture automation, in particular to an automatic bait feeding and water quality monitoring control system and method for aquaculture. Background technique [0002] Aquaculture automation technology integrates machinery, electricity, chemistry, instrumentation, biological engineering, and water treatment. Through a series of automatic control, biological, physical, and chemical means, the aquaculture water body and ecological conditions are processed, monitored, and controlled. The most suitable water environment for the growth of aquaculture organisms can achieve the purpose of increasing production, improving quality, adjusting growth cycle, and improving economic benefits. In countries with relatively developed fisheries such as Canada, Norway, the United States, and Japan, the research on aquaculture automation technology started earlier, and the automatic control technology is already quite advanced. At p...

AI Technical Summary

Problems solved by technology

[0007] 1) There is a lack of accurate and reliable residual bait detection algorithms. The existing algorithms based on computer vision technology for residual bait detection have the following disadvantages: ①The detection accuracy is not enough to meet the needs of bait feeding; ②The test passed in the laboratory environment The application conditions of the algorithm are harsh, and it is far from meeting the actual requirements of the breeding site; ③In special cases, some algorithms cannot be processed, and manual labor is required; ④For different underwater lighting environments, the training process needs to be repeated continuously to learn Cost function parameters suitable for different environments, the process is too cumbersome;

[0008] 2) The current automatic baiting machine has a single function and can only realize automatic baiting. The baitin

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