The Continuous Reinforcement Compound Pavement Construction Quality Remote Monitoring System Based On Internet Of Things Communication Technology
In order to solve the problems existing in the traditional continuous reinforcement compound pavement construction quality remote monitoring system, such as long reaction time of the monitoring system and high data packet loss rate during the monitoring process, this paper proposes to design a continuous reinforcement compound pavement construction quality remote monitoring system based on the Internet of Things communication technology. The system mainly includes continuous reinforcement compound pavement construction quality data processing module, data wireless transmission module and remote monitoring core module. Among them, the data processing module designs the collection process of construction quality data of continuous reinforced composite pavement, determines the relevant pavement quality data that needs to be collected, and adopts the improved median filtering method to conduct noise reduction processing on the collected pavement quality data, so as to realize the construction quality data processing of continuous reinforced composite pavement. In the data wireless transmission module, the main dynamic characteristics of the communication technology of the Internet of Things are analyzed, the sensor range and the over-order signal response of the communication sensor of the Internet of Things are calculated, and the electrical signal conversion circuit is designed. To ensure the stable data transmission of the communication sensor of the Internet of Things; In the core module of remote monitoring, the received continuous reinforced composite pavement construction quality data are received and stored, and displayed in multiple displays, completing the system design. The experimental results show that the shortest response time for remote monitoring of construction quality of continuous reinforced composite pavement is about 0.11s, and the packet loss rate of the data is always less than 10%, which verifies the reliability of the proposed system.