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Fire Protection

Fire Protection

PROGRAMME CENTER

Forest Fire Prevention
Forest fires are one of the important disasters in the world's forestry sector, occurring in certain quantities every year, causing significant loss of forest resources and global environmental pollution. Forest fires have the characteristics of suddenness, randomness in the occurrence of disasters, and the ability to cause huge losses in a short period of time. Therefore, once a fire alarm occurs, it is necessary to take firefighting measures at an extremely fast speed. Whether the extinguishing is timely and the decision-making is appropriate depends largely on whether the discovery of forest fire behavior is timely, the analysis is accurate and reasonable, and the decision-making measures are appropriate. For this reason, efforts are being made both domestically and internationally to prevent, reduce, and control forest fires.
Fire Warning
The temperature distribution at a fire scene can objectively reflect the process of the fire's occurrence, development, and extinguishment, which is of great significance for firefighting and rescue operations as well as fire accident investigations. However, due to the lack of technical means, it is not possible to effectively obtain temperature distribution data from the fire scene. With the maturation of infrared thermal imaging technology, obtaining temperature distribution data from the fire scene has become possible, and it has also become possible to use fire scene temperatures to assist in firefighting and rescue operations and to determine the cause of the fire.
Hazardous Material Detection
Infrared thermal imaging technology plays a significant role in the field of hazardous material detection, not only enhancing the accuracy and efficiency of detection but also improving safety management levels, which is of great importance for preventing and reducing safety accidents. As the technology continues to develop, the application of infrared thermal imaging technology in the field of hazardous material detection will become more extensive and in-depth.
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