Express and logistics distribution anomaly detection method

Abstract

An express and logistics distribution anomaly detection method is used to quickly and effectively discover the abnormal distribution conditions of delivery time delay, process error (detour), end point error (non-delivery of the correct destination) and so on in the distribution process. The method comprises steps of analyzing the multi-attribute characteristic of the express and logistics distribution trajectory data, proposing a method combining ideals of the distance and angle-based anomaly detection algorithms to measure the abnormal degree of each trajectory sub-segment; converting detection of the delivery time delay into detection of the average speed of the delivery process; and detecting the distribution end point error by using the position coordinates, city number, city level and other attributes of the trajectory data. With the method, it is possible to quickly and accurately discover the abnormal distribution of the express and logistics, timely feedback to the logistics enterprise for processing, reduce the economic loss, and create the conditions for improving the competitiveness of the logistics enterprise.

Description

An abnormal detection method for express logistics distribution technical field The invention relates to technologies such as data mining and anomaly detection, in particular to a method for detecting anomalies in express logistics distribution. Background technique The modern large-scale express logistics distribution model with common distribution as the development direction, because it implements a large-scale collection distribution method that does not distinguish between the owner and the product, has many vehicles and complicated routes, which will inevitably lead to delays in delivery time to a certain extent. Occurrence of abnormal distribution problems such as route errors and destination errors. Therefore, how to quickly discover abnormal distribution problems and feed them back to express logistics companies for timely processing is a very important part of the modern large-scale express logistics distribution model. At present, the anomaly detection technol...

AI Technical Summary

Problems solved by technology

In view of the problems in the above background, the present invention provides a method for detecting abnormalities in express logistics distribution to solve the problem that traditional abnormal detection methods are not suitable for detecting abnormalities in express logistics distribution track data with multi-attribute characteristics

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