Livestock and poultry posture monitoring based on cloud platform and distributed collection system
Zhendong Shang, Zhaoying Li, Qinzhang Wei, Shuaibo Hao
Abstract
In order to realize automatic inspection of livestock health and welfare in large-scale intensive farming, a biological state monitoring system based on the IoT cloud platform and distributed data collection technology was designed. Through analysis, a one-dimensional description method of livestock spatial posture is established to determine the spatial posture of livestock by scanning the distance information in a typical cross-section of livestock by a single sensor. Through the distributed configuration of one master and multiple slave detection units, the master–slave hardware circuit was designed based on microprocessors, laser distance sensors, proximity switches, wireless transmission modules, etc. The master, slave and user-side cell phone programs were developed to realize the centralized monitoring of multiple breeding sites. Each slave uses an STC12C5A60S2 microprocessor and multiple sensors for real-time acquisition of status parameters of the organisms. These slave status parameters are packaged and sent to the host control unit via RS485 bus. The host packages the received status data into JSON format packets and sends them to Alibaba Cloud server through the serial port side of the IoT gateway. The IoT gateway follows the MQTT communication protocol to ensure the reliability of the connection and forwards the status monitoring results to the cloud server. The end-user can monitor the status of the organisms anytime and anywhere through the APP of the monitoring management platform and deal with abnormalities in time. After experimental verification, the system achieves remote acquisition, real-time reporting, data storage, polling monitoring and status alarm functions, and the monitoring accuracy reaches to meet the demand for biological status monitoring in intensive farming.