The invention discloses an abnormity identification method and a monitoring platform for domestic sewage treatment facility. The method comprises the following steps: S1, acquiring current and outletflow data of a sewage lift pump in a normal working state within a specific time, and current and outlet flow data of the sewage lift pump before a fault occurs and within a specific time, so as to construct an abnormity analysis data set, S2, performing clustering analysis on the abnormity analysis data set through a clustering algorithm to obtain an abnormity data cluster; S3, obtaining a numerical boundary according to the exception type data cluster, and constructing an abnormity identification model; S4, collecting current and outlet flow data of the sewage lift pump, and inputting the current and outlet flow data into the abnormality identification model to perform abnormality judgment, and further performing sequential analysis on the abnormal data cluster to obtain a time boundary,and adding the time boundary into the abnormal recognition model. According to the abnormity identification method, comprehensive judgment is carried out on the data in the time boundary, and early warning can be carried out on initial abnormal operation of the sewage treatment facility.