Research on Leakage Warning of High Pressure Superheater of Waste Heat Boiler
The initial of waste heat boiler leakage is not easy to detect,and deterioration leads to emergency shutdown.It is proposed to utilize the existing equipment conditions,by mining and collecting the key data of the equipment operation cycle and using the method of statistical regression analysis based on the least squares method for the derivation of data relationship.Matlab tools are used to solve the regression equation to establish a mathematical model for predicting the steam temperature rise of the high pressure superheater of the waste heat boiler.Real-time computational monitoring is realized using high-performance computing service platform,so that the leakage warning function of high pressure superheater of waste heat boiler is realized with a lower cost.The effective function of the model is verified by substituting historical data test.The model provides an important research and judgment basis for equipment managers to determine whether the superheater is leaking.The model is conducive to the rational arrangement of production and maintenance plans.
NETL
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万方数据
