Pig cough sound monitoring and early warning system based on deep learning

A deep learning and level technology, applied in the field of intelligent farming, can solve the problems of low transmission audio rate, low accuracy, and low algorithm operation speed

CN112164408APending Publication Date: 2021-01-01NANJING AGRICULTURAL UNIVERSITY
7 Cites 7 Cited by

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2021-01-01

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses a pig cough sound monitoring and early warning system based on deep learning, which comprises a data acquisition module, a route, a deep learning server, a cloud server and anearly warning client, and audio information acquired in a pig house is acquired and stored through a pickup; local audio data is uploaded to a deep learning server in real time by using a Socket wireless communication technology, and preprocessing and feature acquisition are performed on pig house sound signals in a complex environment by using an acoustic analysis technology; pig cough sound change rules is researched and compared based on a BLSTM (Bidirectional Long Short Term Memory) and a DFSMN (Deep Feedforward Sequence Memory Neural Network), and an end-to-end cough sound recognition model is established; finally, a pig respiratory system disease early warning platform is formed, and pig respiratory system disease early warning is efficiently and accurately achieved.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the field of intelligent breeding, in particular to a pig cough sound monitoring and early warning system based on deep learning. Background technique

[0002] The pig industry is an important part of my country's animal husbandry. The output and consumption of pork are more than 50% of other meat. Despite the impact of African swine fever, pork demand still accounts for the largest proportion of animal meat used. However, problems such as high breeding density and poor ventilation in pig houses make respiratory diseases one of the most common and serious diseases. Therefore, early monitoring of porcine respiratory diseases is particularly important. Coughing is one of the main symptoms of porcine respiratory diseases, and porcine respiratory diseases can be detected in time by monitoring the sound of pig coughing. However, the current traditional monitoring methods mainly rely on human beings, which is time-consuming and la...

Examples

Embodiment Construction

[0109] The present invention will be further described below in conjunction with embodiment, but protection scope of the present invention is not limited to this:

[0110] combine figure 1, the system acquires and stores the audio information collected in the pig house through the pickup, uses Socket wireless communication technology to upload the local audio data to the deep learning server in real time, and uses the acoustic analysis technology to preprocess and characterize the sound signal of the pig house in a complex environment. Acquisition; study and compare the changes of pig coughs based on bidirectional long-short-term memory network (BLSTM) and deep feed-forward sequential memory neural network (DFSMN), and establish an end-to-end cough sound recognition model; finally form an early warning platform for pig respiratory diseases, which is efficient , Accurately realize early warning of porcine respiratory diseases.

[0111] The data acquisition module is an audio a...