Intelligent detection system for rail traffic tunnel

A rail transit and intelligent detection technology, which is applied in the field of rail transit safety, can solve problems such as the inability to detect by itself around the operation, and achieve the effect of improving safety and stability and improving detection efficiency

Active Publication Date: 2018-07-06
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 problems in the prior art that the intelligent inspection robot cannot detect its surroundings and itself, and provides an intelligent detection system for rail transit. Auxiliary, i

Method used

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  • Intelligent detection system for rail traffic tunnel
  • Intelligent detection system for rail traffic tunnel
  • Intelligent detection system for rail traffic tunnel

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0108] When a foreign object appears in tunnel 1, such as Figure 9 shown, perform the following steps:

[0109] S11, data collection: the data collection module 32 that is arranged on the intelligent inspection robot 3 collects the real-time status data of the rail transit system in real time, and transmits the real-time status data to the data processing module 34;

[0110] S12, data processing: the data processing module 34 compares the real-time state data with the standard data transmitted by the memory module 36, and generates a comparison result and sends it to the main control module 35;

[0111] S13, early warning judgment: the main control module 35 performs early warning processing on the comparison result. When the size and shape of the foreign matter exceed the early warning threshold, generate early warning information and enter step S14, and when the size and shape of the foreign object do not exceed the early warning threshold, enter step S18;

[0112] S14, al...

Embodiment 2

[0118] When an abnormal temperature occurs outside the real-time monitoring area of ​​the intelligent inspection robot 3, such as Figure 10 shown, perform the following steps:

[0119] S21, data acquisition: the optical fiber sensor 4 collects the temperature data in the tunnel in real time and transmits it to the nearby intelligent inspection robot 3;

[0120] S22, data processing: the data processing module 34 arranged on the intelligent inspection robot 3 compares the temperature data in the tunnel with the standard data transmitted by the memory module 36, and generates a comparison result and sends it to the main control module 35;

[0121] S23, early warning judgment: the main control module 35 performs early warning processing on the comparison result, when the temperature in the tunnel exceeds the early warning threshold, generates early warning information and enters step S24, and when the temperature in the tunnel does not exceed the early warning threshold, enters ...

Embodiment 3

[0128] When the operating temperature of the intelligent inspection robot 3 is too high, such as Figure 11 shown, perform the following steps:

[0129] S31, data acquisition: the optical fiber sensor 4 collects the surface temperature of the intelligent inspection robot 3 in real time and sends it to the data processing module 32 arranged on the intelligent inspection robot 3. When the data processing module 32 can process data, enter step S32, When the data processing module 32 cannot process the data, enter step S37;

[0130] S32, data processing: the data processing module 32 compares the surface temperature of the intelligent inspection robot 3 with the standard data transmitted by the memory module 36, and generates a comparison result and sends it to the main control module 35;

[0131] S33, early warning judgment: the main control module 35 performs early warning processing on the comparison result, when the surface temperature of the intelligent inspection robot 3 ex...

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Abstract

The invention discloses an intelligent detection system for a rail traffic tunnel. The intelligent detection system comprises guide rails (2), intelligent inspection robots (3), optical fiber sensors(4), station control systems (5) and a central control system (6). The guide rails (2) are arranged on two side walls of the tunnel (1) and used for providing supporting and guiding for the intelligent inspection robots (3); the intelligent inspection robots (3) are arranged on the guide rails (2) and used for real-time monitoring of operating states of a rail traffic system; the optical fiber sensors (4) are arranged on the inner wall of the tunnel (1) and used for real-time monitoring of interior of the tunnel (1); the station control systems (5) are used for processing data transmitted by the optical fiber sensors (4) and the intelligent inspection robots (3); the central control system (6) is used for collecting early warning signals and alarm signals transmitted by each station control system (5) and transmitting to the station control system (5) of a near station. The intelligent detection system has advantages that potential safety risks in the rail traffic tunnel can be found timely and effectively, and accordingly safety and stability of a rail traffic operation system are effectively improved.

Description

technical field [0001] The invention relates to the field of rail traffic safety, in particular to an intelligent detection system for rail traffic tunnels. 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 many kinds of faults...

Claims

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Application Information

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IPC IPC(8): B61K9/08B61L23/04G01D21/02B61K9/10B61K9/02B61D15/12
CPCB61D15/12B61K9/02B61K9/08B61K9/10B61L23/04B61L23/041B61L23/042G01D21/02
Inventor 刘春梅
Owner 西藏谦诚信息科技有限公司
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