Integrated RF-IoT UAV Ground Control Station Design for Air Quality Monitoring and Video Surveillance

Abstract

Unmanned Aerial Vehicles (UAVs) play a vital role in data collection and surveillance within high-risk areas such as disaster sites or industrial zones with limited human access. This research centers on creating an RF-IoT-integrated ground control station aimed at enhancing UAV communication and surveillance in hazardous environments. Unmanned Aerial Vehicles (UAVs) play a vital role in data collection and surveillance within high-risk areas such as disaster sites or industrial zones with limited human access. The ground station consists of an ESP 32 controller and various components for the UAV, which include the RC 832 Video Receiver unit, a Wi-Fi-enabled ESP 32 Microcontroller, two joysticks, three switch buttons, five resistors, a 7 V 18650 battery system, a voltage regulator, a buzzer, a transistor, two liquid crystal displays (7-inch and 4* 20 LCD), and six light-emitting diodes. Software components, including the code, are crafted using the Arduino sketch compiler, the ThingSpeak platform, and FreeCAD for modeling the ground controller casing. This system integrates the benefits of IoT and RF communication technologies to facilitate real-time data transfer and UAV control, enabling operators to track crucial environmental parameters remotely. The ground control station harnesses the long-range capabilities of the NRF 24 L 01 RF transceiver to effectively transmit surveillance data and UAV control commands from airborne units to the ground station. The IoT system, constructed on a Wi-Fi-enabled ESP32 microcontroller, relays surveillance data to the cloud using the Wi-Fi protocol. The designed ground control station can send control signals to the UAV and receive sensor data through RF technology while also utilizing IoT technology for cloud communication. This approach optimizes system computation times by offloading substantial data to the cloud, leveraging cloud computing to improve processing times. The RF-IoT integrated system demonstrated high performance, enhancing range, real-time cloud processing, visualization, and data storage, which is notably rare among current commercial UAVs.