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Sow breath system disease early warning method based on acoustic analysis

A technology for respiratory diseases and acoustic analysis, applied in the evaluation of respiratory organs, medical science, telemetry patient monitoring, etc., can solve the problems of easy negligence, strong subjectivity, and large-scale diseases, to improve the level of automation and reduce human subjectivity. Judging and improving the effect of recognition accuracy

Active Publication Date: 2018-12-18
南京慧芯生物科技有限公司
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, farms mainly rely on manual observation and judgment, which is highly subjective and prone to negligence, which can easily lead to a wide range of diseases

Method used

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  • Sow breath system disease early warning method based on acoustic analysis
  • Sow breath system disease early warning method based on acoustic analysis
  • Sow breath system disease early warning method based on acoustic analysis

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Embodiment Construction

[0087] The present invention will be further described below in conjunction with embodiment, but protection scope of the present invention is not limited to this:

[0088] combine figure 1 Shown system of the present invention, it comprises a plurality of audio frequency acquisition nodes, a plurality of audio frequency acquisition nodes connect wireless communication module, the wireless communication module of audio frequency acquisition node maintains communication with the communication module of microprocessor (ARM core processor) by router; The microprocessor is connected with SDRAM module, Flash module, LCD display module, power supply module and GSM module, and the microprocessor maintains communication with the mobile phone through the GSM module. WiFi is used to transmit data between the audio collection node and the core processor, and the high robustness can ensure the long-term stable operation of the system. In addition, WiFi transmission has a high degree of r...

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Abstract

The invention discloses a sow breath system disease early warning method based on an acoustic analysis. The method includes following steps: S1, setting an audio acquisition node for acquiring a soundsignal; S2, establishing a classification for determining whether the sound signal is a cough audio; S3, extracting cough information to determine whether the sow is ill; S4, obtaining a sound sourceposition; S5, transmitting illness information by a GSM module; S6, receiving the information by an administrator; and S7, determining whether monitoring is continued: if yes, returning to step S2, and otherwise, ending the process. According to the method, the sound signals in a pig house can be directly acquired, the cough sound of the sow is recognized in real time, information carried by thecough audio is extracted and recognized, whether the sow has a breath system disease is determined, the automation level of a cultivation environment of the pig house can be improved, man-made subjective determination is reduced, and the recognition accuracy of the breath system disease is improved.

Description

technical field [0001] The invention relates to the technical fields of sow respiratory disease early warning, audio collection and analysis, ARM processor, WiFi network, sensor technology and automatic control. Specifically, it is an early warning method that collects and analyzes the coughing sound of sows to determine whether the sows suffer from respiratory diseases, determine the stalls where the sick pigs are located, and notify the administrator in real time. Background technique [0002] Pork is the main meat food of Chinese residents, and the health of pigs is directly related to the health of human beings. With the rapid development of the domestic pig industry, the level of pig intensification is getting higher and higher. Pig respiratory disease is a relatively common disease in pig herds, and when it is severe, it will cause a large number of pigs to die. Among them, the health of sows is particularly important, which is directly related to the survival rate of...

Claims

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Application Information

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IPC IPC(8): A61B5/08A61B5/00
CPCA61B5/0004A61B5/08A61B5/0823A61B5/7203A61B5/7235A61B5/725A61B5/7264A61B2503/40
Inventor 沈明霞张海林刘龙申施宏陆明洲孙玉文云苏乐陆鹏宇秦伏亮庄超
Owner 南京慧芯生物科技有限公司
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