Application of Temperature Inference Method Based on Soft Sensor Technique to Plate Production Process

There is a certain extent of measuring error for each pyrometer in plate production process, which has a great impact on process control system. A soft sensor technique is used to calculate the confidence interval of measring temperature data from pyrometers and an inference estimator is designed by partial least square method, then the pyrometer with highest confidence is considered as the reference one, with which inference estimation for measured data on-line of other pyrometers is started and the measuring error is conformed. From actual application it can be found that this method can improve the measuring accuracy by 3%—5%, and has high field application value.