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Rail transit event analysis system and method based on big data

A rail transit and analysis method technology, applied in the field of rail transit event analysis system, can solve problems such as not being analyzed and applied, and achieve the effects of reducing workload, improving analysis efficiency, and reducing the number of types

Pending Publication Date: 2019-10-11
NARI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The data accumulated in the field of rail transit, in addition to equipment timing data and passenger flow OD data, also has a large amount of system event data. At present, system event data is only stored in the system and has not been effectively analyzed and applied.

Method used

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  • Rail transit event analysis system and method based on big data
  • Rail transit event analysis system and method based on big data
  • Rail transit event analysis system and method based on big data

Examples

Experimental program
Comparison scheme
Effect test

example 2

[0035]

[0036] Split the input items in the source data after the validity check. For example, the event record column is a relatively long character string with a lot of content and is not easy to encode digitally. You can split it and extract three key contents , that is, the event object, event content, and event state, and delete some intrinsically related attributes in the source data according to the data characteristics of rail transit. For example, the original data midpoint ID column, nj3.dig.occ.kzsbsups.1hjxkg.value,

[0037] The information of the 6 domains included, after splitting, only the two columns of kzsbsups and 1hjxkg are kept, and the other contents are redundant with the line ID, station ID, and equipment type, so they are deleted. The data saved after sorting and transformation are shown in Table 3, which is convenient for subsequent digital coding processing.

[0038] Table 3 Data format after splitting and transforming

[0039]

[0040] It ca...

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Abstract

The invention discloses a rail transit event analysis system and method based on big data. According to the method, for system event data, data cleaning is firstly carried out, cleaning, conversion and normalization are carried out according to effective attributes of the data, then statistical classification is carried out, data extraction and screening are carried out according to statistical classification results, then data segmentation is carried out according to the length of a preset time window, and finally data correlation analysis is carried out on each segment. According to the method, data arrangement and data statistics are realized, possible internal association relationships among various events which seem to be independent are mined, potential hazards are avoided, and technical support is provided for improving the operation management level of rail transit.

Description

technical field [0001] The invention relates to a rail transit event analysis system and method based on big data, belonging to the field of rail transit monitoring systems. Background technique [0002] With the acceleration of urban rail transit construction, the number of rail transit lines in various cities has increased, and the single line has gradually developed into a network. After the rail transit network has greatly increased the complexity of monitoring and operation. Under the new situation, rail transit operation management is also facing higher requirements. At the same time, a large amount of data is generated and accumulated every moment in rail transit operations, and the amount of data is increasing exponentially. With the accumulation of subway data in various cities, there are more and more types of rail transit data, and the amount of data is also increasing. Massive data are collected in the big data center of rail transit. Among these data, there ar...

Claims

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Application Information

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IPC IPC(8): G06F16/2458G06F16/28
CPCG06F16/2465G06F16/285
Inventor 陈莉莉张振山狄颖琪张赛桥胡波费洋
Owner NARI TECH CO LTD
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