The real-time data rectification algorithm used in plant-level supervisory information system(SIS) of thermal power plant

which is predicted on the basis of time series analysis and artificial neural network

have been discussed.Based on the principle of time redundancy and using prediction method of artificial neural network

a model of real-time data rectification algorithm has been established.The prediction can be carried out according to historical data

thus

replacing the actual measured values for carrying out the data rectification operation

reducing the influence of significant error upon the data rectification

and ensuring the accuracy of real-time data rectification.