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 sequence data Y '= {y' 1, y '2,..., y'i,..., y'n}, and (S4) substituting the complete time sequence data Y' into the Prophet combination
model prediction layer to obtain predicted time sequence data Z '= {z'n-k + 1, z'n-k + 2,..., z'n}. According to the method, the anti-interference performance of a prediction model is enhanced, and the prediction accuracy is improved.