Design And Implementation Of Lost And Found Platform Based On Elasticsearch

In the era of data blowout,the traditional lost and found system has the problem of the backward data search function and failed to conduct a quick and humanized search in massive data.At the same time,the traditional system is weak in data analysis,which cannot aggregate and analyze the data and cannot match the lost and found items according to the data characteristics.Both parties in the lost and found goods handover need to ensure the safety of both parties through cumbersome intermediate steps and relying on the third-party credit investigation.To solve the disadvantages of the traditional lost and found system and improve the convenience of people’s lives,this paper designs and implements a lost and found platform based on Elasticsearch.This paper builds an on-site search engine based on Elasticsearch to realize massive data search by designing an index structure and enhancing data search performance in the big data environment.This paper adopts the IK word segmentation to optimize search engines’ Chinese word segmentation ability and adds the search completion function to improve search efficiency.This paper implements the development of address longitude and latitude and the aggregation of geographic location data by combining Elasticsearch and Baidu maps.It realizes the accurate positioning of items and enhanced data visualization through LBS cloud and pockmark map application.Based on the computing engine Spark,it realizes data cleaning and establishes data kinship to formulate index and label ETL.The new lost and found a method of "finding people with things" implements the accurate delivery of long-standing lost and found things to improve the lost and found rate.The innovative contract technology based on Ethereum in the blockchain can evaluate both parties’ credit of lost and found,skip the cumbersome intermediate steps to improve the convenience of lost and found and enhance the security under the credit investigation of the third party.The lost and found platform aims at solving the pain points of the traditional lost and found method,focuses on users’ core needs,and adopts a multi-dimensional search method to enhance search efficiency.It improves the lost and found rate through accurate delivery and introduces an intelligent contract to simplify the handover process.According to the user requirements and platform design,this paper tests the function of each module by formulating test plans and writing test cases to find out the explicit or implicit problems in the process of system development and timely deal with them to ensure the system functional integrity and availability to improve the user experience.