As the traditional parking space management system has problems of high labor cost and great difficulty in management, a parking system based on pheromone optimization ant colony algorithm is proposed. The system uses STM32 as the main controller, the terminal sensor node is responsible for collecting data, and NB-IoT is used to upload data. Mobile phone APP and cloud platform can be used to realize remote monitoring of the terminal node. Particle swarm optimization algorithm is used to provide pheromone guidance for the ant colony algorithm at the beginning of iteration, which enhances the global search ability of the ant colony algorithm, and the improved ant colony algorithm obviously shortens the shortest Hamilton loop distance of parking. The effectiveness of the method is verified by building a parking lot management system, and the experimental results show that the system can significantly reduce the parking time of users, shorten the parking distance of users, and meet the needs of automatic and intelligent life.