Heating furnace flame real-time detection method based on average gray scale and area

Abstract

The invention discloses a heating furnace flame real-time detection method based on an average gray scale and an area. The method comprises the following steps: (1) an entropy-based automatic threshold image segmentation method for transmission line component recognition is used to convert an inputted furnace flame burning color image to a grayscale image and threshold segmentation is carried out;(2) based on the original color image and the image after threshold segmentation, a principal component image of the color image is obtained; (3) the principal component image is subjected to image segmentation to obtain an image after segmentation; and (4) the image after segmentation is subjected to morphological operations such as expansion corrosion. The average gray scale and the area of each suspected flame burning area can be acquired and compared with given gray scale and area thresholds, the burning state of the suspected flame burning area is judged, and thus, the safety operation of the heating furnace is more intuitive, more active and quicker; and the multi-way furnace flame can be monitored efficiently, and the flame fault processing efficiency and the daily operation efficiency are improved.

Description

Technical field [0001] The invention relates to a real-time flame detection method for a heating furnace based on an average gray scale and area, in particular to the use of the average gray scale and area of ​​an image to determine the flame combustion state, which is used for real-time detection of the flame state of the heating furnace. Background technique [0002] As an important infrastructure in the production activities of petrochemical companies, the safe and reliable operation of heating furnaces is essential. Among the many dangerous factors, the extinguishing of the burner nozzle of the heating furnace needs to be mainly prevented, which may cause the malfunction of the heating furnace to affect production, and the serious consequences of the explosion of the heating furnace. Therefore, it is very important to use technical means to monitor the burning state of the burner in the heating furnace in real time, and to give early warning of the burning of the burner in ti...

AI Technical Summary

Problems solved by technology

However, in practical applications, the detection effect of the ion rod is not good. On the one hand, a large amount of dust often occurs at the detection port, which affects the detection accuracy, resulting in false alarms during fire detection. On the other hand, the service life of the ion rod is limited. About half a year; Another method is to install an industrial TV monitoring system, and have a special person on duty to monitor the furnace flame

This method can accurately obtain the combustion situation of the flame in the heating furnace in real time, and increases the accuracy and reliability of flame monitoring. To simultaneously and efficiently monitor multiple furnace flames

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