The Design And Implementation Of Cleanup System

With the development of the Internet,people’s food,clothing,housing and transportation have gradually relied on online online service platforms.A certain network car platform has won the trust of the masses with its friendly and high-quality service quality,and stands out from many taxi service platforms.The company faces orders of magnitude every day,how to control order data,monitor real-time orders,and effectively find and handle abnonnal orders,which is an issue that operators need to face and solve.In response to the incident data from various business parties,especially major accidents(such as the map accident in January 2018),it is necessary to further improve the efficiency of the aftermath of the accident.Therefore,the concept of introducing the after-sales platform internally is proposed to help the operation technically.People handle unusual orders efficiently.Through internal research,this paper designs and implements a process-based post-platform platform system based on detection algorithm for real-time order output and abnormal order processing.This paper discusses the current state of the rental industry,the development process of anomaly detection algorithms,and how the platform effectively acquires abnormal order data and processes it at the first time.The after-sales platform system will gather the system resources of all parties to handle the aftermath according to the requirements of the business party.First,the platform obtains the required order data from the order system,and then abnormally filters the order data through the abnormality detection,and uploads the confirmed abnormal order as the accident party data to the platform.The cleanup system conducts after-care processing based on the accident data.The platform analyzes the real-time order and the order line data of the special service line in the itinerary.The typical anomaly detection algorithm is studied.Finally,the box-line diagram model and the LOF model algorithm are selected to obtain the anomaly data.Among them,the platform’s after-treatment capabilities include:abnormal customs orders,passenger drivers’ replenishment,issuing coupons,deducting cards,freezing orders,and after-care notifications.The after-care platform system is based on Spring Boot and is based on the MVC(Model View Controller)design pattern,using java as its main development language.The database uses MySQL as a persistent database.To improve data query efficiency,use Redis for caching and ElasticSearch for index queries.The platform processes the abnormal order data,which is mainly divided into four modules:assignment management,address book,data export and abnormality detection.The assignment management module involves field completion,freezing the order/account,determining the after-care program,and performing system functions such as after-effects.The cleanup platform solved the problem of abnormal screening of massive order data and realized the process of processing accident data.The platform has been put into practical use.According to business needs,the platform’s ability to handle accidents is still not perfect,and it is still being improved through iterative development.