Research On High-speed Railway Survey Data Management Based On Grid Index

At present,China's rail transit industry is developing rapidly.Due to the high-speed railway survey projects and the complex survey content,a large number and variety of high-speed railway survey data have been produced.This brings great difficulty in the retrieval of survey data.Because the survey project has geographic characteristics,the survey data also has geospatial characteristics.In view of the above specific conditions,this paper uses spatial retrieval technology to query high-speed railway survey data,and proposes a spatial data retrieval mechanism based on grid index,which uses Hilbert curve to encode spatial data.The spatial data set is filtered during the retrieval to narrow the query range of the spatial data,thereby improving the efficiency of spatial data retrieval.At the same time,the process of generating a spatial data index table according to the grid index has good parallelism.This paper uses the MapReduce framework to parallelize its implementation and improve the index generation efficiency of spatial data.The performance of the high-speed railway survey data retrieval mechanism was tested by comparative experiments.The superiority of this mechanism was proved by the spatial data index table generation time and spatial data retrieval time.High-speed railway survey data has a large number of,multi-type,and complex content features.With the increasing demand for data management,traditional data management systems cannot adapt to current application needs.This paper analyzes and studies the data storage level,retrieval speed,disaster tolerance and scalability,and proposes a data storage scheme combining non-relational database and object storage.It improves the efficiency of storage,query and management of large-scale survey data.There are two main problems in the management of high-speed railway survey projects.One is that staff and work processes cannot be managed uniformly,and the other is that data from various departments cannot be shared.This paper analyzes the business process of high-speed railway survey project in detail,and develops high-speed railway survey project management system based on this process.It manages high-speed railway survey projects in a unified manner,and realizes the integrated management of field measurement users and internal data users.It ensures the convenience and timeliness of the personnel in each position of the project,so as to improve work efficiency.At the same time,it realizes the visual management of the entire company data,eliminates the disadvantages of inefficient data sharing between departments,and enables users to browse data and obtain information more intuitively.Finally,the function and performance of the high-speed railway survey project management system were verified by interface test and other methods.The results show that the function and performance are in line with the expected design.In summary,this paper proposes a high-speed railway survey data retrieval mechanism based on grid index and a high-speed railway survey project management system.It enables users to view information more intuitively through a visual interface and to store,query and manage high-speed rail survey data conveniently.Through the integrated management of the project,it reduces the phenomenon of slow information transmission of employees,avoids the disadvantages of inefficient data sharing,and improves employee productivity.This promotes the sustained and rapid development of high-speed railway construction and provides strong support for China's high-speed railway industry.