Article Details

Abstract

To ensure the stable operation of finished tobacco high-rise warehouses and realize timely monitoring and early warning when tilting occurs, a real-time tilt monitoring and early warning system based on IoT technology is designed. The system takes STM32F407 as the main controller to collect three-axis acceleration and angular velocity data of BMI160 sensors, and uses Kalman filtering algorithm for multi-sensor data fusion to improve the inclination measurement accuracy. The processed data is transmitted to the upper computer monitoring platform through LoRa wireless network. When the monitoring data exceeds the safety threshold, the system automatically alarms and links the control equipment to lock the dangerous cargo lane. The application shows that the system has high early warning accuracy, can block the operation process in time when tilting occurs, and effectively avoid accidents such as shuttle board derailment and tobacco box dumping. After the system is put into use, it significantly improves the efficiency and safety of warehouse management. The system provides effective technical support for the safety monitoring of agricultural product three-dimensional storage and has good popularization and application value.

Keywords

finished tobacco high-rise warehouse; tilt monitoring; Internet of Things; microcontroller; agricultural storage

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About the authors

Zhang Xiao (1997-), male, Han nationality, from Nanyang, Henan Province, assistant engineer, master's student, research direction: embedded development, fault diagnosis, and automation of leaf cutting and re baking; Corresponding author: Huang Yuntao (1999-), male, Han ethnicity, from Xiangyang, Hubei Province, assistant engineer, bachelor's degree, research direction: software engineering, maintenance of leaf drying and re baking equipment.