Remote sensing pavement condition monitoring sensors for protection against road icing, snow, fog, rain and snowstorms

Weather changes affect humans everywhere. Not to mention agriculture, which depends on the weather, urban traffic safety is also constrained by the weather. Inclement weather, such as rain, snow and igloos, are simply road killers and are important factors affecting traffic safety. Therefore, in order to improve the ability of road traffic to cope with inclement weather, the transport sector has introduced a lot of equipment, such as traffic weather observation stations. By installing monitoring stations along the road, bad weather can be observed in time and the road can be closed in time to avoid causing traffic accidents.

This remote sensing road condition monitoring sensor is designed for monitoring traffic road conditions. It uses remote sensing technology and can be installed without damaging the road surface. It uses multi-spectral measurement technology to measure the thickness of icy, snowy and watery conditions on the road surface, as well as weather phenomena such as fog, rain and snow.

The Remote Pavement Condition Monitoring sensor can be mounted at the edge of the road, facing the road surface, at a horizontal angle of at least 30 degrees to the road surface. They can also be suspended from a support structure above the road, such as a bridge or traffic light stand. The measurement accuracy of the sensors is not affected by regular traffic flow and does not interfere with the accuracy of the data unless a vehicle stays in the monitoring area for an extended period of time.

A road condition monitoring system consists of a data acquisition device, a monitoring host, backend software and a monitoring centre. The data acquisition equipment is installed on the road and collects information such as temperature, humidity and visibility and sends it to the monitoring host via wired network. The monitoring host then sends the data via wireless or wired network to the monitoring centre where the backend software stores, analyses and displays the data. If the data is abnormal, the software will issue an alarm.