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Machine learning based recirculating aquaculture monitoring system

A technology of recirculating aquaculture and machine learning, which is applied in the field of machine learning, can solve problems such as difficult to meet the breeding requirements of aquaculture products, and achieve the effect of easy management

Active Publication Date: 2022-07-29
CHONGQING TECH & BUSINESS UNIV +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the water quality parameters exceed the standard range of aquaculture products, the water quality of the aquaculture water body is regulated according to the water quality parameters and the standard range, but in different growth states of the aquaculture products, the required water quality requirements are different, and the same standard range is used for water quality control , it is difficult to meet the breeding requirements of farmed products

Method used

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  • Machine learning based recirculating aquaculture monitoring system
  • Machine learning based recirculating aquaculture monitoring system
  • Machine learning based recirculating aquaculture monitoring system

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0042] Machine learning based recirculating aquaculture monitoring system, as attached figure 1 As shown, it includes a server, as well as a water quality monitoring component, an image acquisition module and a water quality adjustment component arranged in the breeding pond. The water quality monitoring components include one or more of pH meter, ammonia nitrogen sensor, dissolved oxygen sensor, residual chlorine sensor, chlorophyll sensor, suspended solids sensor, temperature measurement sensor, and nitrate nitrogen sensor. It is required to select a sensor. In this embodiment, the water quality monitoring component includes a pH value measuring instrument, an ammonia nitrogen sensor and a dissolved oxygen sensor, and the corresponding water quality parameters include pH value, ammonia nitrogen concentration and dissolved oxygen concentration. The image acquisition module is an existing underwater camera.

[0043] The water quality monitoring component is used to collect wate...

Embodiment 2

[0049] When the water quality parameters do not meet the standard parameter range, it is usually considered that there is a problem with the aquaculture water body, so the aquaculture water body will be replaced. However, the replacement of the aquaculture water body involves many links, which is easy to cause disturbance to the aquaculture products. At the same time, it will cost money at this stage. Replace the water body over a longer period of time. However, in fact, water quality parameters that do not meet the standard parameter range may also be caused by other reasons, such as damage to the water quality monitoring sensor or abnormal monitoring.

[0050] Therefore, the difference between this embodiment and the first embodiment is that: figure 2 As shown, it also includes a control terminal arranged in the breeding pond, and the server also includes a control judgment module, a delay monitoring module and a model control module.

[0051] In this embodiment, the contr...

Embodiment 3

[0059] The difference between this embodiment and the second embodiment is that the control terminal is different.

[0060] as attached image 3 , attached Figure 4 As shown, there is aquaculture water body in the culture pond, one end of the culture pond is provided with a water inlet, and the other end is provided with a water outlet. In this embodiment, the control terminal includes a blocking plate 1 and a telescopic mechanism. The blocking plate 1 is fixedly connected to the bottom and both sides of the aquaculture pond. The blocking plate 1 is used to separate the aquaculture water body into an inlet water body and an outlet water body along the flow direction of the aquaculture water body. The water body, that is, the aquaculture water body on one side close to the water inlet is the inflow water body, the aquaculture water body on the other side is the effluent water body, and the effluent water body is the environment for the growth of aquaculture products. The baf...

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Abstract

The invention relates to the technical field of machine learning, in particular to a circulating aquaculture monitoring system based on machine learning, comprising a server and a water quality adjustment component arranged in a culture pond. There is an intelligent control model, and the server stores historical breeding records. The historical breeding records include historical water quality parameters, historical growth status and historical control information. The server uses the historical breeding records as training samples to train the intelligent control model; the server receives water quality parameters and breeding images. The image generates the growth state of aquaculture products, and obtains the control information output by the intelligent control model according to the water quality parameters and growth state, and sends it to the water quality adjustment component; By adopting this scheme, the water quality of aquaculture water can be regulated according to the growth state of aquaculture products.

Description

technical field [0001] The invention relates to the technical field of machine learning, in particular to a circulating aquaculture monitoring system based on machine learning. Background technique [0002] The circulating aquaculture environment includes the treatment environment and the aquaculture environment. The treatment environment realizes the recycling of the water body by treating the water body, and the aquaculture environment is used to realize the cultivation of aquaculture products. In order to ensure that the aquaculture water is suitable for the growth of aquaculture products, multiple water quality monitoring sensors are installed in the aquaculture environment. The parameters realize the water quality monitoring of aquaculture water bodies. When the water quality parameters exceed the standard range of aquaculture products, the water quality of the aquaculture water body is regulated according to the water quality parameters and standard ranges. However, u...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/27G06V10/22G06V10/774G06V10/82G06K9/62G06N3/08G06N20/00G01N33/18G06F113/08
CPCG06F30/27G06N3/084G06N20/00G01N33/18G06F2113/08G06V10/22G06F18/214
Inventor 杨军超范玉淇王建辉申渝陈猷鹏
Owner CHONGQING TECH & BUSINESS UNIV