Meter change abnormity identification method based on data-in-data station

The invention discloses a data-in-data table-based abnormal table change identification method, which comprises the following steps of: 1, acquiring table change information which comprises a user data list and table change time; step 2, acquiring multi-dimensional data corresponding to the table changing time from the user data list; 3, performing weighted calculation on the multi-dimensional data to obtain a wiring abnormity risk value; and 4, sorting according to the risk values, outputting an abnormal user list in a graded manner in a feature matching field misconnection manner, and performing troubleshooting by related personnel according to the abnormal user list. According to the method, the multi-dimensional data are subjected to weighted calculation, so that the risk of abnormal wiring can be evaluated more accurately, and misjudgment caused by data errors or omission is avoided. 本发明公开了一种基于数据中台的换表异常识别方法，包括步骤1，获取换表信息，换表信息包括用户数据清单和换表时间；步骤2，在用户数据清单中获取与换表时间对应的多维度数据；步骤3，对多维度数据进行加权计算，得出接线异常风险值；步骤4，按风险值大小进行