Water quality anomaly detection method based on dynamic window correlation test and feature fusion

The invention discloses a water quality anomaly detection method based on dynamic window correlation test and feature fusion, which comprises the following steps: respectively injecting a non-toxic water sample into a microbial electrolysis cell MEC1 and a microbial electrolysis cell MEC2, and respectively acquiring current time sequence data MEC1-DB1 and MEC2-DB1 output by the microbial electrolysis cell MEC1 and the microbial electrolysis cell MEC2; the method comprises the following steps: injecting a water sample to be detected into microbial electrolysis cells MEC1 and MEC2, and obtaining current time sequence data MEC1-ST1 and MEC2-ST1 output by the microbial electrolysis cells MEC1 and MEC2; performing correlation test on the MEC1-DB1, the MEC2-DB1, the MEC1-ST1 and the MEC2-ST1 to obtain correlation coefficients of the current time sequence data, and calculating the maximum value of the correlation coefficients of the four current time sequence data according to the correlation coefficients; calculati