A mass data management method for real-time monitoring of high-speed trains

Abstract

The present invention provides a high-speed train real-time monitoring oriented mass data management method. According to the method, a two-layer storage architecture is formed by a distributed file system and a relational database, and a mileage triggered oriented window data management mechanism is established on an upper layer based on the relational database to realize the organization of monitored data; and by utilizing the distributed file system at a lower layer, balanced storage management of mass data is implemented. Ordered organization of the data can be realized in combination with a storage model of object dynamic coupling on the basis; and meanwhile, by using a way of global-local property delivery management and establishing mileage accumulated triggering for trains, demands of train monitoring and analyzing are met. Aiming at high-speed train real-time monitoring, the high-speed train real-time monitoring oriented mass data management method provides core technologies of massive and cross-discipline data management under the large data background and has active application value in the fields of transportation, logistics, smart city and the like.

Description

technical field [0001] The invention belongs to the field of research and application of high-performance storage management of massive heterogeneous perception data, and specifically relates to a massive data management method for real-time monitoring and comprehensive analysis of high-speed trains. In view of the real-time monitoring and collection data of high-speed trains and its field characteristics, the present invention is based on a loosely coupled information organization model, and uses a distributed file system and a relational database to form a two-layer combined storage structure. Establish a mileage-triggered window cache through a relational database; at the same time, use a distributed file database to realize high-performance storage and organization of massive and heterogeneous data based on a key-value model, and use attribute transfer to realize dynamic coupling based on accumulated mileage Data window management. The data management technology proposed ...

AI Technical Summary

Problems solved by technology

This situation leads to a dynamic relationship between the collected data and the spatial attributes of the train; in the process of extracting the cumulative mileage data of the train, it is not possible to simply use the train mileage of the current formation to which the car belongs as the real mileage of the car;

[0008] 4. Complexity of data extraction: On the one hand, the train data management system undertakes the tasks of storage and management of various collected data

[0009] 5. Diversity of data increments: When the train is running, the road conditions and communication conditions are more complicated

Due to the above characteristics, the traditional data storage management system has great deficiencies in dealing with high-performance storage of massive time-series data, dynamic grouping object data modeling, train-oriented spatio-temporal organization, complex data query and extraction, etc., and cannot adapt to future high-speed The demand for construction and development of comprehensive monitoring network in the whole network of trains and in the whole domain; in view of the above problems, the present invention proposes a mass data management technology for real-time monitoring data of high-speed trains

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