Fire is a kind of burning process that loses human control. It is characterized by fast burning speed, serious damage, and difficulty in extinguishing in a short time. How to detect fire hazards in the early stage of fire to make an alarm determines that the fire ultimately affects forests, pastures, and cities. The degree of destruction of the property in other areas. From the standpoint of safeguarding the interests of the country and people’s property, domestic and international research and development and upgrading of detection techniques for early fires have been continuously conducted. At present, in the fire warning monitoring system, there are the following recognition technologies for pyrotechnics:
First, fire video image analysis software. This is a kind of software that takes the computer as the core, combines the photoelectric technology and computer image processing technology to automatically detect and alarm the fire. The software analyzes the video image captured by the CCD camera. When the fire occurs, the flue gas itself has a large amount of optical information. At the same time, projecting the fiber into the flue gas will produce a complex optical effect, and the flame will generate a lot of heat when it burns and spreads. At the same time, a flame containing infrared rays and ultraviolet rays is emitted. After the CCD camera collects this information, the software system can effectively analyze and warn the main fire characteristics such as smoke and light. This type of false alarm rate is high, and the recognition algorithm is integrated into the background management. The server will obviously increase the burden on the server, causing a certain delay in the overall system.
Second, fireworks recognition module. In order to prevent the occurrence of fire, many detector devices can use the smoke generated early in the fire to alert the fire. These intelligent fire detection devices combine the state of fire according to the changes of carbon monoxide, hydrogen and other smoke particle components, smoke concentration and temperature and other parameters. The mapping relationship gives an intelligent algorithm. At the same time, only smoke and dust appear in the early stage of the fire, but the flame is from scratch. This is a development process. The process of image processing needs a continuous processing of dynamic images. Some embedded fire detection modules in the security industry are A fast differential algorithm based on dynamic data analysis combined with filtering algorithms enables real-time tracking of fire flame image sequences. Moreover, because the pyrotechnic identification module is embedded in the front of the device and has DSP front-end data analysis functions, the front-end data analysis and processing is transmitted to the rear monitoring center, which helps reduce the data processing load of the monitoring center, and improves the recognition speed and system operation efficiency. Higher false alarm rate.
Third, thermal imaging hotspot detection and identification. The temperature of all objects in nature will have infrared radiation, which is the result of the thermal movement of molecules inside the object. Infrared imaging technology is based on the size of the radiated energy of the detected object, the thermal image of the target object is transformed into a target object through the system processing, and displayed in grayscale or pseudo-color to obtain the temperature distribution of the measured target to determine the state of the object. . Generally, the temperature difference between the background temperature of the monitored area and the area where the fire occurred is quite different, and it is easy to separate the combustibles from the geographical background in the thermal image. According to the temperature distribution of the thermal image, a hot spot detection algorithm can automatically detect the long-distance heat source target. This can not only determine the nature of the fire, but also detect the location of the fire, the fire area, and the fire potential. Such technologies have high recognition speeds. Low false alarm rate.
At present, a combination of multiple fire detection technologies is commonly used at home and abroad, which greatly improves the accuracy of fire monitoring systems for fire monitoring systems. Fire alarm monitoring systems of this type are mostly used in forest fire prevention projects, grassland fire prevention projects, and urban fire insurance monitoring projects. Therefore, early detection of a fire not only helps protect the natural and social environment, but also helps ensure the safety of the country and people's property.
First, fire video image analysis software. This is a kind of software that takes the computer as the core, combines the photoelectric technology and computer image processing technology to automatically detect and alarm the fire. The software analyzes the video image captured by the CCD camera. When the fire occurs, the flue gas itself has a large amount of optical information. At the same time, projecting the fiber into the flue gas will produce a complex optical effect, and the flame will generate a lot of heat when it burns and spreads. At the same time, a flame containing infrared rays and ultraviolet rays is emitted. After the CCD camera collects this information, the software system can effectively analyze and warn the main fire characteristics such as smoke and light. This type of false alarm rate is high, and the recognition algorithm is integrated into the background management. The server will obviously increase the burden on the server, causing a certain delay in the overall system.
Second, fireworks recognition module. In order to prevent the occurrence of fire, many detector devices can use the smoke generated early in the fire to alert the fire. These intelligent fire detection devices combine the state of fire according to the changes of carbon monoxide, hydrogen and other smoke particle components, smoke concentration and temperature and other parameters. The mapping relationship gives an intelligent algorithm. At the same time, only smoke and dust appear in the early stage of the fire, but the flame is from scratch. This is a development process. The process of image processing needs a continuous processing of dynamic images. Some embedded fire detection modules in the security industry are A fast differential algorithm based on dynamic data analysis combined with filtering algorithms enables real-time tracking of fire flame image sequences. Moreover, because the pyrotechnic identification module is embedded in the front of the device and has DSP front-end data analysis functions, the front-end data analysis and processing is transmitted to the rear monitoring center, which helps reduce the data processing load of the monitoring center, and improves the recognition speed and system operation efficiency. Higher false alarm rate.
Third, thermal imaging hotspot detection and identification. The temperature of all objects in nature will have infrared radiation, which is the result of the thermal movement of molecules inside the object. Infrared imaging technology is based on the size of the radiated energy of the detected object, the thermal image of the target object is transformed into a target object through the system processing, and displayed in grayscale or pseudo-color to obtain the temperature distribution of the measured target to determine the state of the object. . Generally, the temperature difference between the background temperature of the monitored area and the area where the fire occurred is quite different, and it is easy to separate the combustibles from the geographical background in the thermal image. According to the temperature distribution of the thermal image, a hot spot detection algorithm can automatically detect the long-distance heat source target. This can not only determine the nature of the fire, but also detect the location of the fire, the fire area, and the fire potential. Such technologies have high recognition speeds. Low false alarm rate.
At present, a combination of multiple fire detection technologies is commonly used at home and abroad, which greatly improves the accuracy of fire monitoring systems for fire monitoring systems. Fire alarm monitoring systems of this type are mostly used in forest fire prevention projects, grassland fire prevention projects, and urban fire insurance monitoring projects. Therefore, early detection of a fire not only helps protect the natural and social environment, but also helps ensure the safety of the country and people's property.
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