Track state static detection and control system and method based on cloud computing and big data

Abstract

The invention discloses a track status static detection and control system and method based on cloud computing and big data. The system includes a track status static detection device, a data information management center and a display system. These three parts are all connected to each other through the Internet. This invention uses big data technology to transmit detection data in real time and scientifically store and manage massive data; the entire system is easy to operate and manage, completely changing the working mode of the traditional stand-alone track status static inspection and control equipment; it can comprehensively view and analyze various characteristics of the track from multiple angles. Design Parameters. Through the real-time transmission of track status static detection data and comparative analysis of data information, line maintenance personnel take corresponding maintenance measures to ensure the normal status of the track and the relative smoothness of the line.

Description

technical field [0001] The invention relates to a cloud computing and big data information system, in particular to a track state static detection and control system and method based on cloud computing and big data. Background technique [0002] In order to ensure the normal operation of railway lines, static detection and regulation of track status is an essential work. The data detected by the traditional stand-alone track static detection equipment can only be temporarily stored in the detection equipment. After the entire static detection process is completed, the data can be uploaded to the server for data processing, and real-time detection data cannot be transmitted at the detection site; Real-time transmission of data is guaranteed, and it is impossible to know whether the inspection personnel have tampered, forged, or embezzled the inspection data, or whether the inspection activities are actually carried out. With the increasing frequency of static inspection, rep...

AI Technical Summary

Problems solved by technology

The data detected by the traditional stand-alone track static detection equipment can only be temporarily stored in the detection equipment. After the entire static detection process is completed, the data can be uploaded to the server for data processing, and real-time detection data cannot be transmitted at the detection site; Guarantee the real-time transmission of data, whether the inspectors have tampered with, forged, or embezzled the inspection data, and whether the inspection activities are actually carried out, it is impossible to know

With the increasing frequency of static inspection, repair, and regulation of railways, the data of static inspection and regulation has become increasingly large, and the traditional track state static inspection and control system cannot centrally and scientifically store, manage, and analyze a large amount of static inspection data for a long time and in a large area, and it is impossible to perform various tasks. This kind of specific data mining processing does not have good error redundancy, and requires special personnel to maintain and manage storage devices, does not support multi-user parallel access, and the entire static inspection system is prone to collapse and paralysis

These unfavorable factors have made the railway track detection, repair and regulation work stagnant and lost their original significance.

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