The invention relates to a distance-based abnormal data detection method. The method specifically comprises the steps of setting a plurality of data intervals; and judging a data quantity in each interval to judge whether the set interval is a normal or abnormal interval, thereby detecting out abnormal data. The invention furthermore relates to a system for detecting the abnormal data by using the method. The system comprises a data collection module, a central server and a data detection module arranged in the central server. The collection module is used for collecting the data and uploading the data to the central server; and the central server performs abnormal data detection and deletion according to the method provided by the invention through the data detection module arranged in the central server.