Mass positioning data storing method

Abstract

The invention discloses a mass positioning data storing method. The method comprises the following steps: receiving heterogeneous positioning data from different positioning data sources through an information access module, and storing the data into a data access array; (2) extracting data from the data access array through a data processing module, analyzing according to different data types, encapsulating into sql scripting languages, and then storing into a data storage array; (3) transferring the scripting language from the storage array into a database through a data storing module; all modules run synchronously by a multi-process manner. According to the mass positioning data storing method, the multi-threading method is carried out, receiving another data after receiving, analyzing and storing a data is removed, and thus the mass data receiving efficiency is raised.

Description

technical field [0001] The invention relates to a database data processing and storage method, in particular to a unified processing and storage method for multiple heterogeneous data in different formats. Background technique [0002] The storage of massive heterogeneous data often faces the problem of inconsistent data format and processing delay caused by too much data. The existing method is to analyze various data separately, and serially process the data receiving, analyzing and storing processes. Only one piece of data can be processed before processing the other one. In this way, when faced with massive data, the access cache will increase because the data processing speed is slower than the sending speed, and the service cannot run stably for a long time. [0003] For urban traffic management, public security and other departments, it is necessary to monitor the positioning information of operating vehicles, police officers, and police cars in real time. The positi...

AI Technical Summary

Problems solved by technology

Only one piece of data can be processed before processing another one. In this way, when faced with massive data, the access cache will increase because the data processing speed is lower than the speed sent, and the service cannot run stably for a long time.

[0003] For urban traffic management, public security and other departments, it is necessary to monitor the positioning information of operating vehicles, police officers, and police cars in real time. The positioning information is constantly changing, the data format is inconsistent, and the data volume is huge. The traditional data storage method is obviously unable to meet business needs.

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