Prophet combination model-based monitoring time sequence data prediction method

The invention discloses a monitoring time sequence data prediction method based on a Prophet combination model, and relates to the technical field of engineering construction and operation and maintenance. Comprising the following steps: S1, arranging a sensor on an engineering site to obtain original time sequence data X0 = {x01, x02,..., x0i,..., x0n}, and marking festivals and holidays for interference time sequence data; s2, constructing a Prophet combination model, substituting original time sequence data X0 into a data preprocessing layer of the Prophet combination model, and performing iterative calculation to obtain time sequence data X '= {x' 1, x '2,..., x'i,..., x'n} after the gross error is deleted; the method comprises the steps of (S1) obtaining a Prophet combination model prediction layer, (S2) obtaining a Prophet combination model prediction layer, (S3) substituting X'into the Prophet combination model regression layer, and carrying out regression vacancy calculation to obtain complete time se