Determination of the temperature in the half-voltage disconnect switches, through polynomial functions obtained from thermographic images, for the development of intelligent maintenance systems

In the present investigation the images with the minimum pixelation required for the inspections of maintenance inside the electrical substation are indicated. In addition, three polynomial functions are obtained based on the heat radiation of the half-voltage disconnecting switches, since these contain the highest temperature values in the images captured in a range between -3 and 39 degrees Celsius. The functions found establish a mathematical relationship between grayscale pixelation and temperature of the images taken at the electrical substation. Each of the obtained functions are tested, applying the relation on the pixelation of different images in JPEG format and obtaining the average quadratic error. So these functions can be applied in the development of computer vision systems focused on the maintenance area of electrical and mechanical equipment and devices.