Application of LiDAR System Solutions for Scientific and Technological Oversize and Overload Control
2024-04-11 17:20:52

Recently, the General Office of the People's Government of Shanxi Province issued the "Work Plan for the Scientific and Technological Oversight of Road Freight Transportation Sources in Shanxi Province," proposing to complete the acceptance work for the scientific and technological oversight construction of road freight transportation source units in Shanxi Province by the end of 2024; and by the end of 2025, basically establish an information management and service platform for the scientific and technological oversight of sources in Shanxi Province, and construct an integrated digital governance model for source oversight with horizontal integration, vertical connectivity, intelligent supervision, and precise services.



The implementation of overload control has played an important and positive role in protecting road and bridge facilities, ensuring traffic safety, and so on. The application of technological means can help the overload control work achieve new breakthroughs:

1. Upgrade stations to achieve non-stop detection;

2. Use the data collected from axle load detection to analyze the types of freight vehicles and the main distribution routes of heavy-duty vehicles;

3. Identify the drive axles by utilizing chassis scanning technology for motor vehicles to accurately determine the weight limit standards, among other things.



Intelly Technology has been deeply involved in smart transportation for many years, accumulating rich experience and comprehensive solutions in the field of scientific and technological overload control.

Laser axle recognizer

The ILS-E30-3 laser axle recognizer can be quickly installed and used on one side without damaging the toll island. Unlike other axle recognition solutions and technologies, the E30-3 can rapidly identify various vehicle axle types to accurately locate the vehicle type, assisting toll stations in achieving intelligent management.



Laser Axle Type Recognizer

The ILS-E30-2 laser axle type recognizer can perform real-time automated 3D scanning of the wheel axles of incoming vehicles at highway entrances. Utilizing the high-speed scanning capabilities of lasers, when a vehicle is detected passing through, the vehicle detection state machine is activated. Once the front of the vehicle enters the detection range, the axle type recognition algorithm is initiated. When the rear of the vehicle exits the detection range, the axle recognition algorithm outputs the detection results. Through mathematical modeling calculations, the vehicle data is provided to the overload control system or related platforms. This product has strong anti-interference capabilities, maintaining accurate data detection even under harsh weather conditions such as rain, snow, fog, and frost, effectively reducing safety hazards on highways.



Radar Integrated Vehicle Type Recognizer

The automatic license plate recognition, image and video capture, high-precision drive axle detection, and vehicle type recognition are integrated into one unit, which incorporates proprietary and patented drive axle recognition algorithms and vehicle classification technology. The three-sided image capture and 5-second video recording comply with the "Operational Norms and Technical Requirements for Highway Weighing Detection," fully satisfying the need for "three-image" capture and no less than 5-second video preservation at highway entrance overload control stations.



Entrance Overload Control Detection Systems

The entrance overload control detection system is an important component of the modern management system for vehicle overload control. This system can accurately detect the weight, speed, number of axles, number of axle groups, axle type, and vehicle dimensions (length, width, and height) of cargo vehicles.



Intelly will continue to deeply cultivate intelligent transportation solutions and contribute to the creation of a safer, more efficient, and sustainable transportation environment.

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