Water-mist-penetrating three-wavelength temperature measurement device and method for high-temperature environment

A temperature measurement method using a water-mist-penetrating three-wavelength temperature measurement device for an environment in steel hot rolling, the water-mist-penetrating three-wavelength temperature measurement device comprising:

• a housing, the housing provided with an optical aperture, the aperture configured to be able to permit passage of light signals emitted from a target to be measured;
• a three-waveband beam splitting detection module, the three-waveband beam splitting detection module arranged in the housing, and comprising a trichroic prism, a first radiation detection assembly, a second radiation detection assembly and a third radiation detection assembly;
• the trichroic prism having an incident face, a first emission face, a second emission face, and a third emission face, and configured to be able to receive the light signals entering via the optical aperture through the incident face, and emit radiation signals having different wavelength bands through the first emission face, the second emission face, and the third emission face, respectively;
• the first radiation detection assembly configured to be able to receive a first radiation signal having a first wavelength band emitted from the first emission face, and convert the first radiation signal into a first electrical signal;
• the second radiation detection assembly configured to be able to receive a second radiation signal having a second wavelength band emitted from the second emission face, and convert the second radiation signal into a second electrical signal;
• the third radiation detection assembly configured to be able to receive a third radiation signal having a third wavelength band emitted from the third emission face, and convert the third radiation signal into a third electrical signal;
• a computing unit, the computing unit configured to be able to receive the first electrical signal, the second electrical signal, and the third electrical signal, and perform calculation and analysis to determine a temperature value of the target to be measured;
• a video monitoring module, the video monitoring module comprising a camera and a first semi-transparent and semi-reflective mirror;
• the first semi-transparent and semi-reflective mirror arranged between the optical aperture and the trichroic prism, and configured to able to transmit a part of the light signals to the trichroic prism, and reflect the other part of the light signals and transfer it to the camera;
• and the camera configured to be able to receive the light signals to achieve imaging;
• and
• a laser indication module, the laser indication module comprising a laser illuminator and a second semi-transparent and semi-reflective mirror, the second semi-transparent and semi-reflective mirror arranged between the optical aperture and the trichroic prism, and configured to able to transmit the light signals to the trichroic prism, and reflect a laser signal emitted by the laser illuminator and project the laser signal onto the target to be measured via the optical aperture;
• and the temperature measurement method comprising:
• step 1. temperature measurement data acquisition:
• after an area to be measured is positioned by the laser indication module, receiving a radiation signal at a corresponding wavelength band and convert the radiation signal into a corresponding electrical signal, respectively, by the first radiation detection assembly, the second radiation detection assembly and the third radiation detection assembly, and after purging by an air purging device, obtaining an true temperature of the target to be measured by a ratio temperature measurement method by the computing unit;
• step 2. temperature measurement data fusion:
• establishing a temperature measurement model by the computing unit based on on-site working conditions to fuse radiation energy ratios under three different wavelength combinations, so as to obtain a final temperature value;
• step 3. temperature measurement parameter tuning:
• achieving optimal tuning of a temperature measurement model parameter by the computing unit based on a temperature measurement dataset constructed after data acquisition;
• and
• step 4:
• temperature measurement model application:
• in combination with the judgement for abnormally fluctuated temperature measurement data based on camera images, achieving a full-line application of the temperature measurement model by the computing unit, and updating the temperature measurement model parameter periodically.