Flame combustion state detection method

Abstract

The invention discloses a flame combustion state detection method. Flame area characteristics within a period of time are used as recognition bases. The flame combustion state detection method is usedfor displaying the flame image and state judgment on the Qt graphical interface. A video image is used for recognition, in the actual combustion process of boiler flames, flames will flicker, shake,smoke dust and other interferences. Using image processing, more information can be obtained. The flame area and filtering processing are adopted to improve the anti-noise capacity. The flame combustion condition is judged through video collection, real-time collection and judgment can be achieved, the reliability of the system is improved, faults are prevented to the maximum extent. The operationspeed and the recognition efficiency are improved through offline and online recognition, the whole process of flame work can be detected through video monitoring, online video recognition is adopted, and the system is good in real-time performance and high in safety.

Description

technical field [0001] The invention belongs to the technical field of detecting a flame combustion state in a boiler in a furnace safety monitoring system, and in particular relates to a method for detecting a flame combustion state. Background technique [0002] The detection of flame combustion state is widely used in daily industrial production practice, as well as in the scientific research of natural phenomena and natural laws, for example, in power plants and coal plants, it is necessary to detect the flame combustion state in boilers. During the operation of the boiler, the safe operation of the boiler is inseparable from the detection of the flame combustion state in the boiler, and the flame detection is an important part of the furnace safety monitoring system. The safe operation of the boiler will directly affect the safety and economic benefits of the enterprise. Most of the existing boiler flame detection methods are based on the detection of temperature senso...

AI Technical Summary

Problems solved by technology

Most of the existing boiler flame detection methods are based on the detection of temperature sensors and light intensity sensors. This type of method has defects such as large lag, small amount of flame information, inability to rule out interference in the furnace, and low recognition accuracy.

[0003] Since the boiler is a high-temperature, high-pressure, airtight tank, it is not suitable for direct observation

There is interference from infrared, ultraviolet and other factors in the furnace, and the chemical reaction is violent, which leads to the complex shape change of the flame inside the boiler during the combustion process, and the change of the flame will be affected when the boiler is fed, exhausted, etc. These problems It will increase the difficulty of judging the flame combustion, so the detection of the flame combustion state inside the boiler has always been a difficult point in the furnace safety monitoring system

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