Information Node Positioning System of Underground Pipe Gallery Based on CAN Internet of Things Technology

Aiming at the problem that it is relatively difficult to locate every information node in a timely and accurate manner in the current urban underground pipe gallery internal network, which affects the management and operation of the pipe gallery and safe production, this paper proposes an underground pipe gallery information node positioning system based on CAN-IOT (i.e. CAN Internet of things) technology. The system forms CAN-IOT based on CAN bus and assigns an unique ID number to each information node which is mapped to its geographic coordinates. In the complex underground environment, this way can accurately give the actual location of each information node, which is convenient for operation and maintenance and reduces the consumption of human resources. The research results show that the reliability of the system is better than the commonly used positioning methods, which greatly improves the safety production of the pipe gallery and has major social benefits for improving the management level of the urban underground pipe gallery.