多光谱测温

RESEARCH ON DATA PROCESSING METHOD OF MULTI-SPECTRAL THERMOMETER Good morning everyone, I'm Zhang Mingyao. I feel very honored to have a speech here. The topic of my speech today is research on data processing method of multi-spectral thermometry for the measurement. OK, Now we get down to business.
To improve the measuring precision of true temperature and spectral emissivity, the dissertation brings forth the new ideas and work as follows:
(1) A brightness temperature approach is proposed and used for the measurement of the true temperature and spectral emissivity.
(2) A continuous measurement method based on brightness temperature is proposed by processing the measured data of the multiwavelength pyrometer at two different times, the true temperatures and spectral emissivities at two different times can be calculated simultaneously.
(3) The effects of the random noise on the measured results, which are based on brightness temperature approach method and continuous measurement method, are evaluated.
(4) The feasibility of applying of brightness temperature approach method and continuous measurement method in practical application are verified.
Below, the emissivity model selection: efficient wavelength by eight wavelength radiation thermometer are respectively 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1, 1.1 μ m, temperature range of simulation for 1500~3000K, the temperature interval is 50K. At each temperature point used as shown in Figure 1 A~E five emission rate model, each class into 31 groups.
Fig. 1 emission rate model
This is the result of simulation error:
From the table we can see, at high temperature:
1) rightness temperature approach method without noise in each channel, for the same emission rate model, the absolute error of the calculation of the true temperature increases with increasing temperature.
2) For A model, compared with the processing method of data based on BP network, brightness temperature approach method results in higher accuracy.
Fig. 2 the high-temperature section without noise absolute error map
Fig. 3 the high-temperature section without noise relative error
Figure 2, figure 3 is a diagram of calculation error of brightness temperature approach method in high temperature period. From which we can see more clearly: the A emission rate model, the calculation error increases with the temperature changes very slowly; emission rate model for C, E class, the calculation error is large (± 80K); for the D class model, computation error between the two. The error range that is allowed for ultra high temperature measurements. No matter what kind of emission rate model, the error in 1500 ~ 3000K near the starting point of the relatively small. In general, the actual measurement, for class a firing rate
model, the calculation result of this method is ideal.
Conclusion
Multispectral radiation thermometry ultra high temperature target transmission rate at the same time. And the data processing of multi spectral radiation thermometry has been a hotspot and difficulty of research in the field of radiation temperature measurement. Therefore, the data processing method research of a high precision multi spectral pyrometer has become one of the important issue to be settled urgently radiation temperature field. In this paper a multi spectral radiation emission rate model of temperature measurement theory and several materials, the measurement data processing method of multi spectral brightness temperature approach method and continuous measurement method of radiation, the research has important theoretical significance and practical value.。