Research On Temperature Rise State Of Tank Main Control Board Based On Thermal Imaging

With the widespread application of multi-layer electronic board and large-scale integrated circuit,many weapons and equipment need to detect the status of the control board.The traditional monitoring and control board state detection mostly adopts the method of temperature measurement for key devices.This way covers the components less difficult to reflect the operation state of the whole monitoring and control board.In view of this deficiency,this paper proposes a method of detecting abnormal temperature rise state of non-contact monitoring board based on infrared temperature measurement.Firstly,the compensation technology of infrared thermal imaging temperature measurement is studied.Through the study of the principle of infrared temperature measurement,the influencing factors of infrared temperature measurement are analyzed,including the emissivity of the target,the atmospheric scattering,the surrounding environment and the temperature measurement distance.The mechanism and characteristics of the influence of distance on the results of infrared temperature measurement are analyzed.According to the relationship between temperature change and target distance in actual temperature measurement.The method of distance temperature segment compensation is proposed and verified by experiments.The experimental results show that the proposed method has obvious effect on infrared temperature measurement compensation,and the maximum relative error after compensation is reduced from 3.73%to 0.87%.Secondly,the identification and location method of the main control board components of infrared imaging detection is studied.The infrared thermal map and optical image of the main control board are registered by Canny detection algorithm to identify and locate the components.Aiming at the problems of detail information loss and poor noise reduction effect in traditional canny detection algorithm,an improved canny detection algorithm based on mathematical morphology is proposed.The two-scale structural elements are used to filter on and off successively,which eliminates the image noise,maintains the details of the image,and synthesizes the original gradient information and diagonal gradient information to obtain the final edge image.The experimental results show that the improved Canny algorithm has a significant improvement on the detection of the oblique edge information of the image.Finally,the fault detection method of components is studied in view of the problem of temperature rise detection of the main control board.The traditional differential thermal map method has poor effect on the color failure detection by comparing the images.A comparison method based on the characteristics of continuous temperature rise in infrared temperature field of circuit board is proposed.The infrared temperature field data of circuit board are collected by using infrared temperature measurement technology.By extracting the characteristic temperature data of components in the continuous infrared image,the continuous temperature rise curve representing the measurement and control board in the complete working state is drawn.By comparing and analyzing the characteristic temperature information curve between abnormal control board and normal control board,comparing the fitting degree of two different state curves,it can judge whether the components may have abnormal,and then determine the working state of components.