Design And Implementation Of Vehicle Big Data Research And Judgment System Based On Elasticsearch

In recent years,with the steady increase of our country’s per capital income level and the gradual improvement of domestic infrastructure road construction,the quality of people’s travel has also improved,and more and more families are using private cars instead of public transportation.This means that the amount of behavioral information generated by vehicles is also increasing,making urban road management and illegal crime investigation more and more difficult.Massive vehicle data has magnified the problem of serious shortage of police force in our country.How to effectively store and retrieve vehicle data and improve the efficiency of law enforcement of unit police force has become the key to realize smart law enforcement in the field of intelligent transportation.The topic of this paper comes from actual enterprise projects,and a research and judgment system based on distributed vehicle storage and retrieval is designed and implemented.By optimizing and adapting various big data technologies,the system realizes the rapid retrieval of hundreds of millions of vehicle data according to data characteristics and specific retrieval requirements,and improves the law enforcement efficiency of traffic law enforcement agencies.At the same time,according to the software engineering design specification,standardized design and development are carried out in every detail of the system,which reduces the degree of coupling and improves the maintainability of the system.The main research contents of this paper are as follows:(1)According to the actual data characteristics and data increment conditions of the project,select the matching big data technology.This paper uses Mongo DB for persistent storage and Elasticsearch for distributed retrieval.In addition,according to the specific data level of the project,Elasticsearch was tuned to achieve the maximum retrieval efficiency under this level,and in order to verify the feasibility of data synchronization,the data collection tool was tested.According to the needs of the project,complete the demand analysis,clarify the functional modules,and design the overall system architecture.(2)According to the needs of the project,complete the demand analysis,clarify the functional modules,and design the overall system architecture.(3)Complete the design and implementation of the functional modules of the system in a standardized design method,including module coding,database design and front-end interface.(4)Deploy the test platform in the actual development environment to complete the functional test of the system and the performance test of the research and judgment algorithm to verify whether the system meets the requirements.After the completion of the vehicle big data research and judgment system,law enforcement agencies have greatly improved the retrieval efficiency of the target vehicle,and can achieve a second-level response of hundreds of millions of data.The database and retrieval engine are both scalable and can meet the growing data demand.