Systems, methods, and storage media for emergency warning of road icing based on internet of things (iot) large models

A method for emergency warning of road icing, executed based on a system for emergency warning of road icing based on an Internet of Things (IoT) large model, the method comprising:

• obtaining multi-source monitoring data of a target road;
• determining, based on the multi-source monitoring data, a road surface material, road elevation information, and slope information, an ice formation risk sequence of the target road;
• determining, based on the ice formation risk sequence, a deicing parameter for the target road, wherein the deicing parameter includes a type, a spreading amount, and a spreading rate of a deicing agent;
• controlling, based on the deicing parameter, an automatic deicing vehicle to travel to the target road, measuring a pre-deicing ice thickness by transmitting an acoustic wave and receiving echoes via an ultrasonic probe of the automatic deicing vehicle, and uploading the pre-deicing ice thickness back to an emergency supervision and management platform;
• and,
• controlling, based on the deicing parameter, the automatic deicing vehicle to spread the deicing agent on the target road, and controlling a road condition information display at an entrance of the target road to display warning information.

A non-transitory computer-readable storage medium, wherein the storage medium stores computer instructions, and when a computer reads the computer instructions in the storage medium, the computer executes a method for emergency warning of road icing, the method comprising:

• obtaining multi-source monitoring data of a target road;
• determining, based on the multi-source monitoring data, a road surface material, road elevation information, and slope information, an ice formation risk sequence of the target road;
• determining, based on the ice formation risk sequence, a deicing parameter for the target road, wherein the deicing parameter includes a type, a spreading amount, and a spreading rate of a deicing agent;
• controlling, based on the deicing parameter, an automatic deicing vehicle to travel to the target road, measuring a pre-deicing ice thickness by transmitting an acoustic wave and receiving echoes via an ultrasonic probe of the automatic deicing vehicle, and uploading the pre-deicing ice thickness back to an emergency supervision and management platform;
• and,
• controlling, based on the deicing parameter, the automatic deicing vehicle to spread the deicing agent on the target road, and controlling a road condition information display at an entrance of the target road to display warning information.