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High-speed Infrared Thermal Cameras Warn Of the Risk Of Spontaneous Combustion Of Highway Vehicles Due To High Temperatures

2025-07-04 14:42

On sections of expressways characterized by a large number of continuous long downhill sections, heavy traffic of large trucks, and frequent occurrence of extreme high temperatures in summer, there are many risks and significant hazards of vehicle fires. The relevant transportation departments have significantly alleviated the high incidence of vehicle fires on the road sections through strict speed control and water passage cooling measures, but related accidents still exist. After a certain section of the expressway adopted the expressway vehicle high-temperature warning system equipped with the YoseenIR high-speed infrared thermal camera X640HWF300, the number of vehicle self-ignition accidents has been significantly reduced. When the vehicle temperature on the expressway is too high, the system can promptly issue a warning. Mr. Li, the vehicle owner: When I was driving at high speed, the electronic display screen indicated that the vehicle was abnormally hot. I immediately left the expressway from the nearest exit to check the condition of the vehicle. This kind of early warning can promptly alert drivers of potential safety hazards and play an important warning role in driving safety. Driving on this section of the expressway, hardcore technologies such as thermal imaging are like "thermal CT", constantly monitoring the vehicle's temperature status, making driving safer and the road more unobstructed.

 

In vehicle spontaneous combustion accidents, overheating of brake pads is the main cause. Especially on long downhill sections of mountainous expressways, the frequent braking of trucks causes the temperature of the brake pads to rise sharply. The heat is conducted to the tires through the wheel hubs, which can easily lead to a blowout or spontaneous combustion. Traditional manual inspection and subjective judgment by drivers are difficult to achieve dynamic monitoring, and there is an urgent need for technical means to realize active early warning.

 

The YoseenIR high-speed infrared thermal camera is used to test the tire temperature of vehicles on expressways

 

The transportation department of a certain area, in collaboration with YoseenIR Thermal Imaging, has developed a high-temperature warning system for highway vehicles. By deploying high-speed infrared thermal cameras and checkpoint cameras on the road surface and adopting a "cloud-edge-device" collaborative architecture and "infrared temperature measurement + video intelligent analysis" technology, it can screen high-temperature warning vehicles in real time. The system automatically captures high-temperature vehicles and analyzes the data, marking the high-temperature areas that exceed the preset threshold. Through database comparison, it automatically identifies license plate information, uploads abnormal tire temperatures and vehicle data to the management platform, and ultimately generates a detection report containing time, location, license plate and temperature anomaly information, achieving a closed-loop process from early warning triggering to automatic alarm. The highway vehicle high-temperature early warning system, by monitoring vehicle temperatures in advance, can intercept high-temperature vehicles in real time and issue early warnings, effectively preventing safety hazards caused by high temperatures and enhancing road traffic safety.

 

Infrared image of excessively high tire temperature of a car traveling at high speed

 

In the scenario of vehicle temperature monitoring on expressways, vehicles of various types are traveling at high speeds. Considering the difficulty of capturing high-speed motion, it is necessary to ensure that the infrared thermal camera can quickly and accurately capture clear images and temperature data of the high-speed rotating tires. The YoseenIR high-speed infrared thermal camera X640HWF300 features a 4ms thermal response time and a 75Hz frame rate full-spectrum infrared temperature flow, enabling precise capture of every frame of high-speed operation while ensuring accurate measurement of the temperature of car tires and brake pads.

 

4ms thermal time constant, sensitive and precise response

A 125Hz/75Hz high-speed thermal camera with a 4ms thermal time constant is selected to respond quickly and accurately measure the temperature of fast-moving car tires, brake pads, etc.

Real-time and uninterrupted monitoring, quickly capturing the temperature of each frame

When vehicles pass at high speed, quickly capture the temperature distribution images of tires and brake pads. Each frame of the temperature picture is quickly captured to achieve real-time precise monitoring of thermal status and over-temperature early warning.

Data analysis and trend prediction to enhance maintenance efficiency

Real-time temperature data collection and storage, intelligent analysis of the temperature change trend of tires and brake pads, providing a scientific basis for the preventive diagnosis and maintenance of each component of tires and brake pads.

 

In this expressway vehicle high-temperature early warning system project, the vehicle high-temperature detection algorithm is based on infrared temperature stream data. It uses an adaptive clustering algorithm to dynamically divide the areas of key components such as tires and wheels. By combining the spatial distribution of thermal imaging pixels and temperature gradient features, it automatically identifies the shape of the components and corrects the area boundaries through motion tracking, achieving precise component-level temperature monitoring. The algorithm integrates a multi-layer perceptron model, directly outputs the probability value of abnormal high temperature through global temperature data analysis, and builds an intelligent early warning mechanism. The vehicle body smoke detection algorithm integrates frequency-domain texture analysis and dynamic temperature field monitoring technology. It analyzes the smoke texture features through visible light images and synchronously tracks the abnormal fluctuation patterns of infrared temperature flows, achieving multi-dimensional cross-verification of smoke features and significantly reducing the false alarm rate of the system.