Device and method for forecasting survival rate of freshwater fish based on passive acoustic information

A technology for predicting device and survival rate, applied in fish farming, radio wave measurement system, instrument, etc., can solve undiscovered problems, achieve the effects of avoiding adverse effects, non-destructive testing, and reducing farming or transportation costs

Active Publication Date: 2017-02-08
HUAZHONG AGRICULTURAL UNIVERSITY
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  • Description
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AI Technical Summary

Problems solved by technology

[0004] Fish sound detection methods mainly include active sonar detection and passive sonar detection. In the existing research, active sonar methods are most

Method used

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  • Device and method for forecasting survival rate of freshwater fish based on passive acoustic information
  • Device and method for forecasting survival rate of freshwater fish based on passive acoustic information
  • Device and method for forecasting survival rate of freshwater fish based on passive acoustic information

Examples

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Example Embodiment

[0044] Example 1

[0045] A freshwater fish survival rate prediction device based on passive acoustic information. The device for extracting original fish sound signals includes a first fish box 1 and a second fish box 2. The first fish box 1 is provided with a first hydrophone 4 A second hydrophone 5 is provided in the second fish box 2, and the first hydrophone 4 and the second hydrophone 5 are respectively connected to the acoustic recorder 3. The first fish box is used to collect the sound signals of freshwater fish, and the second fish box is used to collect background environmental noise, which is used for background environmental noise denoising during post-data processing.

[0046] There are several said first fish tank 1, first hydrophone 4, and second hydrophone 5. When it is used for transportation or breeding, there are multiple first fish boxes for placing fish, so each fish box for placing fish needs to collect fish sound signals.

[0047] In the process of large-scal...

Example Embodiment

[0050] Example 2 Prediction model of crucian carp survival rate

[0051] 1) Fish sound signal acquisition and denoising processing: respectively figure 1 Inject 500L of water into the first fish tank and the second fish tank, the water temperature is 10-15℃, the dissolved oxygen content is 7-8mg / L, and the pH is 7.2-7.5. Connect the first hydrophone and the second water The hearing device is placed 20cm below the water surface. Put the crucian carp into the No. 1 fish box, the number of live crucian carp is 1-50, the minimum fish-water ratio is 1:999, the maximum fish-water ratio is 1:19, let stand for 5 minutes, and wait until the fish is relatively stable in the water , Set up an acoustic recorder to collect fish sound signals.

[0052] The setting parameters are as follows: acquisition time: 1min; sampling frequency: 4000Hz; acquisition channel: dual channels; acquisition times: 3 times. A total of 1,363 sound signal samples of crucian carp were collected.

[0053] 2) Extractin...

Example Embodiment

[0085] Example 3 Prediction model of bream survival rate

[0086] 1) Fish sound signal acquisition and denoising processing: respectively figure 1 Inject 500L of water into the first fish tank and the second fish tank, the water temperature is 10-15℃, the dissolved oxygen content is 7-8mg / L, and the pH is 7.2-7.5. Connect the first hydrophone and the second water The hearing device is placed 20cm below the water surface. Put the crucian carp into the No. 1 fish box, the number of live bream fish ranges from 1 to 30, the minimum fish-water ratio is 1:666, the maximum fish-water ratio is 1:21, let stand for 5 minutes, and wait until the fish is stable in the water Set the acoustic recorder to collect fish sound signals.

[0087] The setting parameters are as follows: acquisition time: 1min; sampling frequency: 4000Hz; acquisition channel: dual channels; acquisition times: 3 times. There are 294 bream sound signal samples.

[0088] 2) Extracting characteristic parameters: same as emb...

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Abstract

The invention belongs to the technical field of quality analysis of agricultural products and specifically relates to a device and a method for forecasting survival rate of freshwater fish based on passive acoustic information. The device for extracting an original fish acoustic signal comprises a fish box, wherein a hydrophone is arranged in the fish box; the hydrophone is respectively connected with an acoustic recorder; sound-insulating cotton is arranged on the exterior of the fish box. The method for forecasting survival rate of freshwater fish comprises the following steps: collecting the original fish acoustic signal; performing de-noising treatment on the fish acoustic signal; extracting characteristic parameters of the fish acoustic signal, including short-time average energy, short-time average zero-crossing rate and frequency band energy; constructing a feature vector; dividing a sample set; selecting the feature frequency band of the fish acoustic signal; establishing a forecasting model for survival rate of freshwater fish. The forecasting model for survival rate of freshwater fish established according to the method provided by the invention can realize online detection for the survival rate of freshwater fish, can be used for detecting the survival rate of the fish in the processes of fresh water fish breeding and live fish transportation and has a significance in increasing the survival rate of the fish in the processes of fresh water fish breeding and live fish transportation.

Description

technical field [0001] The invention belongs to the technical field of agricultural product quality analysis, in particular to a device and method for predicting the survival rate of freshwater fish based on passive acoustic information. Background technique [0002] my country is a traditional large fishery country, with the total output and export volume of aquatic products ranking first in the world. Among them, the aquaculture output of freshwater fish accounts for a large proportion of the total aquaculture output of inland aquatic products, and it is the main aquaculture species in my country. According to the data released by the China Fishery Statistical Yearbook, between 2009 and 2013, the average annual growth rate of freshwater fish in my country was 5.5%. (Liang Huanqiu et al., 2014; Liu Jia, 2014). Fish meat is delicious and nutritious. It contains animal protein, calcium, multivitamins and other nutrients necessary for the human body. It is an indispensable foo...

Claims

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Application Information

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IPC IPC(8): A01K63/00A01K61/10G01S7/539
CPCA01K61/00A01K63/003A01K63/006G01S7/539Y02A40/81
Inventor 黄汉英李路熊善柏赵思明涂群资马章宇
Owner HUAZHONG AGRICULTURAL UNIVERSITY
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