The Design and Implementation of Edge Computing-Based Intelligent Ashcan Management System for Smart Community

This paper designs an Intelligent Ashcan Management System (IAMS) which is one of the most important part in a smart city. Traditional ashcan management is inefficient and has many disadvantages, because managers cannot obtain the real-time state of ashcans efficiently. As a result, it often happens that ashcans are full but not collected in time. Moreover, in special cases that ashcans fall, catch fire, etc., managers should find these ashcans and handle these emergencies as soon as possible. To manage ashcans efficiently, economically and intelligently, in this paper, we propose an edge computing based IAMS. Specifically, in IAMS, each ashcan has an intelligent user equipment (UE) equipped with sensors to measure distance, temperature, smog and tilt. For data transmission, IAMS uses Narrow Band Internet of Things (NB-IoT), which has advantages of large transmission range and low cost. Combined with edge computing, the collected data can be processed rapidly and managers can obtain the real-time state of each ashcan. Moreover, managers can view global information through web browser and mobile devices. According to the real-time state of ashcans, we also design an IAMS algorithm to get an efficient garbage collection path based on genetic algorithm. Finally, we deployed the proposed IAMS in Soochow University and experimental results show its efficiency and stability.