High sensitivity, fast response and anti-interference crack-based reduced graphene oxide strain sensor for pig acoustic recognition

Abstract

With the development of precision pig industry and the growing demands for pork products, it is of great significance to monitor the health of pigs. The reported detection methods suffer harmful, time-consuming, complex and expensive. Acoustic detection is a simple and effective contactless method to judge the health status of pigs. Strain sensor as an important contactless method has attracted wide research interest in acoustic detection. However, most strain sensors cannot accurately detect pig sounds due to their low sensitivity, slow response, and susceptibility to interference. In this work, a crack-based rGO strain sensor is proposed and exhibits unique “half-open, half-close” microstructures. The strain changes the crack gaps, resulting in the resistance of sensor increases. The sensor exhibits high sensitivity and fast response in a wide frequency range from 110 Hz to 5000 Hz and its ΔR/R0 increases monotonically with increasing acoustic intensity. In addition, the rGO sensor is directional and thus has anti-interference ability to noise. The rGO sensor is applied for pig acoustic recognition and the measured results agree well with the original audios. In conclusion, the crack-based rGO strain sensor with high sensitivity, fast response and anti-interference shows great potential for pig acoustic recognition and its detected results can provide a reference for pig health monitoring.