Self-inspection system for rail traffic intelligent routing inspection robot

An intelligent inspection and rail transit technology, applied in railway traffic management, transportation center control system, manipulators, etc., can solve the problem that the track cannot be detected by itself, and achieve strong anti-electromagnetic interference ability, easy connection, and guaranteed timeliness. Effect

Active Publication Date: 2018-06-29
西藏谦诚信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The present invention aims to overcome the technical problem in the prior art that the intelligent inspection robot cannot detect its own track and itself, and provides a self-inspection system for the rail transit intelligent inspection robot,

Method used

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  • Self-inspection system for rail traffic intelligent routing inspection robot
  • Self-inspection system for rail traffic intelligent routing inspection robot
  • Self-inspection system for rail traffic intelligent routing inspection robot

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0070] When a foreign object appears on the track 2 running on the intelligent inspection robot 1, such as Figure 4 shown, perform the following steps:

[0071] S11, data collection: the optical fiber sensor 3 collects track surface data in real time and transmits it to the data classification module 210 in the first data processing module 200;

[0072] S12, data classification: the data classification module 210 transmits the track surface data to the track surface data comparison module 220;

[0073] S13, early warning judgment: the track surface data comparison module 230 compares the track surface data with the standard data transmitted by the memory module 600, when the size and shape of the foreign matter exceed the early warning threshold, generate early warning information and enter step S14, when the size and shape of the foreign matter When the warning threshold is not exceeded, go to step S17;

[0074] S14, alarm judgment: the track surface data comparison module...

Embodiment 2

[0082] When cracks appear on the track 2 running on the intelligent inspection robot 1, such as Figure 5 shown, perform the following steps:

[0083] S21, data acquisition: the optical fiber sensor 3 collects track surface data in real time and transmits it to the data classification module 210 in the first data processing module 200;

[0084] S22, data classification: the data classification module 210 transmits the track surface data to the track surface data comparison module 230;

[0085] S23, early warning judgment: the track surface data comparison module 230 compares the track surface data with the standard data transmitted by the memory module 600, when the size of the crack exceeds the early warning threshold, generates early warning information and enters step S24, when the size of the crack does not exceed the early warning threshold , enter step S27;

[0086] S24, alarm judgment: the track surface data comparison module 230 compares the track surface data with t...

Embodiment 3

[0094] When the intelligent inspection machine 1 moves too fast, such as Figure 6 shown, perform the following steps:

[0095] S31, data collection: the optical fiber sensor 3 collects the motion speed of the intelligent inspection robot 1 in real time and transmits it to the data classification module 210 in the first data processing module 200;

[0096] S32, data classification: the data classification module 210 transmits the motion speed of the intelligent inspection robot 1 to the motion state data comparison module 220;

[0097] S33, early warning judgment: the motion state data comparison module 220 compares the motion speed of the intelligent inspection robot 1 with the standard speed transmitted by the memory module 600, and when the motion speed of the intelligent inspection robot 1 exceeds the early warning threshold, generate early warning information and enter the step S34, when the motion speed of the intelligent inspection robot 1 does not exceed the warning t...

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PUM

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Abstract

The invention discloses a self-inspection system for a rail traffic intelligent routing inspection robot. The self-inspection system comprises a data gathering module (100) used for gathering the movement state data of the intelligent routing inspection robot (1) and the rail surface data of a rail (2), a first data processing module (200) and a second data processing module (300) used for performing data processing, a platform control module (400) used for generating early warning signals and alerting signals, a central control module (500) used for summarizing the early warning signals and the alerting signals, a storage module (600), a platform database module (700) and a central database module (800) used for storing and standardizing data and a platform display module (900) and a central display module (1000) used for performing feedback on the early warning signals and the alerting signals. By means of the self-inspection system for the rail traffic intelligent routing inspectionrobot, the own state of the intelligent routing inspection robot (1) and the running rail (2) of the intelligent routing inspection robot (1) can be monitored, safety hidden dangers are found in time, and the safety and stability of a rail traffic running system are effectively improved.

Description

technical field [0001] The invention relates to the field of rail transit safety, in particular to a self-inspection system for an intelligent inspection robot of rail transit. Background technique [0002] With the increasing population of big cities, road traffic is increasingly unable to meet the rapidly increasing traffic usage of people. The development of urban rail transit system plays an important role in alleviating urban traffic congestion. [0003] Urban rail transit is a special service industry. In addition to the personal safety of employees, it also includes the personal safety of passengers and the operation safety of various equipment and facilities in the production process. At the same time, there are many unpredictable safety hazards. The safety of urban rail transit systems Features include: (1) public facility characteristics; (2) high flow and high density; (3) closed; (4) affected by directional air flow; (5) difficult to prevent. [0004] There are ...

Claims

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Application Information

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IPC IPC(8): B25J19/00
CPCB25J19/00B25J19/0095B61K9/08B61L23/045B61L23/042B61L27/53
Inventor 刘春梅
Owner 西藏谦诚信息科技有限公司
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