Design of Urban Parking Space Monitoring System Based on LPWAN

Aiming at the problems of poor signal quality, insufficient communication coverage and low intelligence in urban large-scale parking systems, a city parking space monitoring system based on low power wide area network (LPWAN) is proposed. Taking STM32F103C8T6 low power microcontroller as the core, combined with LoRa and NB-IoT wireless communication technology, the low-power and long-distance terminal monitoring nodes and gateway nodes are designed. We also propose a multi-priority mixed time slot allocation algorithm, improving the throughput of the LoRa ad-hoc network, and completing the collected, transmit and display of parking space parameters. This paper focuses on the design of the system including software, hardware and algorithms. We have completed the normal function test of the system, throughput tests, communication distance, and packet loss rate (PLR) tests. The experimental results show that the urban parking space monitoring system has obvious advantages over the traditional wireless network in coverage, throughput and communication quality. LoRa technology and NB-IoT technology provide the possibility of forming a large-scale, low-power wireless sensor network in the future, and have a good promotion value in urban intelligent parking projects.