造成不锈钢铸造温度测量出现误差值的因素：
Factors that cause errors in temperature measurement of stainless steel casting:
1、校验：
1. Verification:
行业标准是每年校验1次，但是，仪器的漂移和失效有自己的日程，理想的做法是对工厂使用的光学元件都进行校验。
The
industry standard is to calibrate once a year, but there is a schedule
for instrument drift and failure. The ideal practice is to calibrate all
optical components used in the factory.
2、观察窗玻璃材料：
2. Observation window glass material:
不是玻璃都具有同样的透射性能；有的是“灰”色的，而另外一些玻璃的透射性则随波长而发生变化。这会让常规高温计失灵。
Not
all glasses have the same transmission performance; Some are "gray"
colored, while the transmittance of other glass varies with wavelength.
This will cause the conventional Pyrometer to malfunction.
3、仪器校准：
3. Instrument calibration:
通过透镜瞄准要求两个光学路程准确重叠，家的常规高温计。
Aiming
through the lens requires that the two optical paths overlap
accurately, which will affect the level of conventional Pyrometer.
4、观察孔障碍：
4. Observation hole obstruction:
对多数仪器而言，信号的减弱都会造成温度指示值的下降；观察窗上的污物影响多数高温计的精度。
For
most instruments, the weakening of the signal will cause a decrease in
the temperature indication value; The dirt on the observation window
affects the accuracy of most Pyrometer.
5、蒸汽发射：
5. Steam emission:
对高压熔化而言，熔池或坩埚中溢出的气体会增加或减少热辐射，因此造成误差。
For
high-pressure melting, the gas overflowing from the melt pool or
crucible can increase or reduce thermal radiation, resulting in errors.
6、未知/变化中的发射率—多种合金、扰动效应、温度和波长的依靠性以及加工过程中成分的变化等，这些都对发射率的不可预见性起着作用。
6.
Unknown/changing Emissivity - multiple alloys, perturbation effects,
dependence on temperature and wavelength, and changes in composition
during processing all play a role in the unpredictability of Emissivity.
这些困难是光学温度测量有的困难。同时，还有与不锈钢铸造工艺相关的困难，这使得不同类型仪器仪表的温度测量变得复杂化了，包括：1、熔化技术。2、铸锭、坩埚、线圈间的匹配。3、工艺变量的可接受范围。4、信号处理能力。
These
difficulties are inherent in optical temperature measurement. At the
same time, there are difficulties related to the stainless steel casting
process, which makes temperature measurement of different types of
instruments and meters more complex, including: 1. melting technology.
2. Matching between ingots, crucibles, and coils. 3. The acceptable
range of process variables. 4. Signal processing capability
