Pond culture sound control feeding method and device based on same

Abstract

The invention relates to a pond culture sound control feeding method. The pond culture sound control feeding method is characterized by comprising the following steps of 1) determining background noise of underwater environment of a feeding water area, and establishing background average PSD (Power Spectral Density) pn (m); 2) determining a sound signal of the feeding water area after feeding, and calculating sound PSD p (m) after feeding; 3) obtaining fish ingestion sound PSD after subtracting the sound PSD p (m) after feeding from the background noise average PSD pn (m) according to frequency; 4) calculating ingestion power in one moment through an integral formula as shown in the description, wherein ms refers to starting frequency, and me refers to cut-off frequency; and obtaining an ingestion power-time curve diagram; and 5) obtaining an ingestion power-time N-second average-line diagram, and respectively setting feeding ingestion quickening power, feeding ingestion power slow-down power and feeding ingestion stopping power according to ingestion power values on the ingestion power-time N-second average-line diagram.

Description

Technical field [0001] The invention relates to a sound-controlled feeding method for pond culture and a device based on the method, and belongs to the technical field of aquaculture. Background technique [0002] Feeding is an important part of aquaculture. Feeding technology is not only related to economic benefits, but also the key to realizing water quality control. Traditional feeding control relies entirely on experience and visual observation, and cannot accurately consider the impact of biomass changes and environmental factors. With the rapid development of intensive farming and rising labor costs, automatic feeding systems have received more and more attention. The theoretical basis of the automatic feeding system is the fish feeding model and growth model, but the feeding control based solely on the model is an open-loop control. The accuracy of the model, differences in fish physique and other factors will affect its control effect. Need to find an effective feedback...

AI Technical Summary

Problems solved by technology

[0004] The first type is based on residual bait detection, including infrared detection and Doppler detection. The rate of residual bait controls the feeding speed and the time to stop feeding. The density of the bait is monitored. This method of monitoring the residual bait is relatively lagging in control, and it is difficult to accurately feed the feed. If too much feed is used, it will pollute the aquaculture water;

[0005] The second type is based on the position of the fish school. When the fish school leaves the feeding area, the feeding is stopped. The control of this feeding method is relatively lagging, and it is impossible to monitor the fish eating situation. Only monitoring the position of the fish is often inaccurate. Response of fish to feed requirements

[0006] Studies have shown that there is an approximately linear relationship between the appetite of fish and the intensity of the sound emitted during feeding, but it is still difficult to design a suitable feeding system and control method based on this relationship alone, because the sound of feeding is immediacy and its intensity fluctuates greatly. Large, the feeding speed of the feeding system cannot have an immediate and direct linear relationship with the intensity of the feeding sound; at the same time, the underwater background environment itself has a certain sound intensity, and the feeding sound must be extracted from the background environment, and It is also very difficult to divide the frequency and form continuous dynamic characteristics on the time axis

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