Smart Warehouse Monitoring System Based on WEMOS D1 R2 Microcontroller

Abstract

To complement the "normal monitoring" function in smart warehouse security systems and address the limitations of traditional warehouses, such as the lack of real-time visualization of environmental data, difficulty tracking dynamic scenes, and lack of traceability of personnel access, this paper designs and implements a multi-dimensional smart warehouse monitoring system. Based on a Wemos D1 R2 and Arduino Uno controller, the system integrates a DHT11 temperature and humidity sensor, an MQ-2 smoke sensor, an ESP32-CAM camera module, and a TZM1026 semiconductor fingerprint door sensor. Warehouse environmental parameters are collected via the DHT11 and MQ-2 sensors, and the data is transmitted in real time via UDP to an OLED display module and a mobile app (developed by E4A), visualizing temperature, humidity, and smoke concentration. The ESP32-CAM module captures real-time images of the warehouse and broadcasts them over Wi-Fi IP, allowing remote access to the video stream from mobile devices. The TZM1026 fingerprint module and the door sensor module work together to verify personnel identities and record access control status. Test results show that the synchronization delay between the system's environmental data on the OLED and app is less than 0.5 seconds, the ESP32-CAM video stream transmission is stable (delay < 1 second), and the fingerprint recognition response speed is < 4ms. This effectively meets the warehouse's normal monitoring needs of "real-time environmental monitoring, scene visualization, and personnel access traceability," complementing the existing system focused on "abnormal alarms" and improving the smart warehouse security system.