Coking Furnace Temperature Measurement Technology Research Based On CCD

The accurate detection of coking furnace temperature is important for either the quality of productions or the energy conservation. The CCD image sensor is particularly suitable for temperature detection since it can detect the quantity of radiant energy in three channels simultaneously. Compared with ordinary technology, the CCD image sensor has many advantages, such as the high accuracy, the low cost and the automation. In this dissertation, we first introduce the principle of the CCD image sensor and analyze the feasibility of applications in the coking furnace temperature detection. Considering the deficiencies in the target detection in coking furnace and the traditional temperature detect model, we propose our modifications. At last we construct temperature field of blackbody and the experimental results verify the validity and accuracy of the improved methods.The main modifications are as follows:In the object detection aspect, we propose a threshold segmentation algorithm based on the Susan edge operator.In high-temperature radiation target recognition algorithm based on color information,we use the method instead of original iteration threshold method, the identification results of high temperature blackbody show that this method works better.In the temperature model establishing aspect,we improve the temperature model not relying on the three primary colors represents wavelength by color subtraction, ambient light interference reduced and the accuracy of temperature measurement improved. Temperature results in the two both data calibration methods illustrate the accuracy of the improved temperature model is much higher.