Railway tunnel intelligent monitoring system

Abstract

A railway tunnel intelligent monitoring system mainly comprises an in-tunnel data acquisition module which comprises a mobile data acquisition device and a fixed acquisition device arranged in a key area; a tunnel portal positioning module; a mobile positioning module in the tunnel; a data processing module; and an early warning module and the like. The system can automatically inspect the interior of the railway tunnel, the labor intensity of road safety maintenance personnel is greatly reduced, the inspection frequency can be set as required, and abnormal information in the tunnel can be obtained in time; coordinate positioning of an early warning area can be accurately determined, and accurate early warning information can be transmitted to a background management end and running trains in related sections.

Description

Technical Field

[0001] This utility model relates to the field of intelligent tunnel monitoring technology, and in particular to an intelligent monitoring system for railway tunnels. Background Technology

[0002] With the continuous increase in train speeds and the rapid growth of railway construction mileage, the internal environment of tunnels has become increasingly important for transportation safety.

[0003] Railway tunnels are often located in remote areas. If all inspections are done manually, it will inevitably lead to a heavy workload, low inspection efficiency, and an inability to guarantee the frequency of inspections. At the same time, tunnels pass through mountains, making it difficult to obtain satellite navigation signals such as GPS and Beidou inside the tunnels. Summary of the Invention

[0004] To address the challenges of manual inspection of railway tunnels, this disclosure provides an intelligent monitoring system for railway tunnels. By integrating various devices such as wheeled robots, image and environmental data acquisition sensors, and inertial measurement equipment, it achieves automated inspection and positioning of the tunnel site, reducing the workload of railway safety management personnel, improving the level of intelligent management, and ensuring railway transportation safety.

[0005] The intelligent monitoring system for railway tunnels disclosed herein mainly includes:

[0006] The tunnel data acquisition module is used to collect various environmental monitoring data inside the tunnel, including: mobile data acquisition equipment and fixed acquisition equipment deployed in key areas;

[0007] The tunnel entrance positioning module is used to obtain the absolute position of the tunnel entrance;

[0008] A mobile positioning module inside the tunnel is used to acquire the relative positioning information of the mobile data acquisition device inside the tunnel relative to the tunnel entrance.

[0009] The data processing module is used to acquire the data information collected by the above modules; determine whether the data exceeds the set safety threshold based on the tunnel internal environment monitoring data; and accurately locate the area where the data exceeds the safety threshold based on absolute and relative positioning information.

[0010] The early warning module is used to issue early warnings to trains in the tunnel and related sections when data exceeds the safety threshold, based on data processing results and location information.

[0011] Compared with existing technologies, the beneficial effects of this disclosure are: ① It enables automated inspection of the interior of railway tunnels, greatly reducing the labor intensity of railway safety maintenance personnel. The inspection frequency can be set as needed, and abnormal information inside the tunnel can be obtained in a timely manner; ② It can accurately determine the coordinates of the warning area and transmit accurate warning information to the back-end management terminal and the trains running in the relevant sections. Attached Figure Description

[0012] The above and other objects, features and advantages of this disclosure will become more apparent from the more detailed description of exemplary embodiments of this disclosure taken in conjunction with the accompanying drawings, in which the same reference numerals generally represent the same components.

[0013] Figure 1 This is a system composition diagram according to an exemplary embodiment of the present disclosure. Detailed Implementation

[0014] Preferred embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While preferred embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that the present disclosure will be thorough and complete, and will fully convey the scope of the present disclosure to those skilled in the art.

[0015] This disclosure provides an intelligent monitoring system for railway tunnels. The system's structure according to an exemplary embodiment of this disclosure is shown in the attached figure. Figure 1 As shown, it mainly includes:

[0016] The tunnel data acquisition module is used to collect various environmental monitoring data inside the tunnel, including: mobile data acquisition equipment and fixed acquisition equipment deployed in key areas;

[0017] The tunnel entrance positioning module is used to obtain the absolute position of the tunnel entrance;

[0018] A mobile positioning module inside the tunnel is used to acquire the relative positioning information of the mobile data acquisition device inside the tunnel relative to the tunnel entrance.

[0019] The data processing module is used to acquire the data information collected by the above modules; determine whether the data exceeds the set safety threshold based on the tunnel internal environment monitoring data; and accurately locate the area where the data exceeds the safety threshold based on absolute and relative positioning information.

[0020] The early warning module is used to issue early warnings to trains in the tunnel and related sections when data exceeds the safety threshold, based on data processing results and location information.

[0021] 1. Mobile data acquisition equipment

[0022] As a preferred option, a four-wheeled mobile robot is used as the mobile carrier platform, which can move forward and backward and can perform reciprocating inspections along the paved road inside the tunnel without turning around.

[0023] As a preferred option, the robot is equipped with a high-definition camera, a hazardous gas detector, an anemometer, and a temperature and humidity sensor to acquire images of the front and sides of the unmanned platform to detect foreign objects and cracks on the tunnel lining surface, as well as the content or concentration of toxic and hazardous gases, ventilation conditions, temperature and humidity conditions, etc.

[0024] Meanwhile, high-definition cameras can also provide auxiliary information for the robot's motion navigation and control by acquiring images of the road ahead to determine whether there are any extraneous objects, as well as images of navigation signs set on the tunnel walls.

[0025] Preferably, the robot also integrates a tunnel-based mobile positioning module, including an inertial measurement unit and a computing unit, for real-time calculation of its position and speed relative to the tunnel entrance. The speed and position information acquired by the inertial measurement unit is used for two purposes: firstly, combining the absolute positioning of the tunnel entrance to calculate the coordinates of potentially hazardous areas within the tunnel, providing accurate early warning information to the management platform and trains operating in the relevant sections; secondly, for the robot's automatic navigation, enabling it to move along a pre-defined route inside the tunnel even without satellite positioning signals.

[0026] 2. Fixed data acquisition equipment

[0027] As a preferred option, equipment such as axial force gauges, inclinometers, displacement gauges, and stress gauges are used to detect adverse settlement, deformation, and stress conditions inside the tunnel.

[0028] 3. Tunnel entrance positioning module

[0029] It uses satellite positioning equipment such as GPS and Beidou.

[0030] 4. Early warning and display equipment

[0031] The early warning equipment includes: audible and visual alarms installed at tunnel entrances and inside the tunnel, mobile early warning terminals that receive early warning notifications via App or SMS, and early warning terminals inside the train.

[0032] As a preferred option, it also includes: a GIS display unit located at the management end, which is used to display an early warning on the GIS map based on the location information when data in the tunnel exceeds the safety threshold, so that managers can intuitively grasp the location of the tunnel with risk in the global map of the railway line.

[0033] The above technical solutions are merely exemplary embodiments of this utility model. For those skilled in the art, based on the application methods and principles disclosed in this utility model, it is easy to make various types of improvements or modifications, and not limited to the methods described in the specific embodiments of this utility model. Therefore, the methods described above are only preferred and not restrictive.

Claims

1. A railway tunnel intelligent monitoring system, characterized in that, The tunnel inside data acquisition module is used for acquiring various environment monitoring data information inside the tunnel, and comprises a mobile data acquisition device and a fixed acquisition device arranged in a key area. The tunnel portal positioning module is used for acquiring absolute positioning of the tunnel portal. The tunnel inside mobile positioning module is used for acquiring relative positioning information of the mobile data acquisition device inside the tunnel relative to the tunnel portal. The data processing module is used for acquiring data information acquired by the above modules; judging whether the tunnel inside environment monitoring data exceeds a set safety threshold value; and accurately positioning a region whose data exceeds the safety threshold value according to the absolute positioning and the relative positioning information. The early warning module is used for issuing early warning prompts to the tunnel site and a running train in a related section when data exceeds the safety threshold value according to data processing results and positioning information. The tunnel inside mobile positioning module comprises an inertial measurement unit and a calculation unit installed on the mobile data acquisition device, and is used for calculating a position and a moving speed of the mobile data acquisition device relative to the tunnel portal in real time.

2. The system of claim 1, wherein, The mobile data acquisition device comprises an unmanned carrier platform moving along the tunnel inside the tunnel, and a sensor device carried thereon.

3. The system of claim 2, wherein, The unmanned carrier platform adopts a four-wheel motion robot, can move forward and backward, and realizes reciprocating movement inside the tunnel. The sensor device comprises one or more of a high-definition image acquisition device, a harmful gas detector, an anemograph and a temperature and humidity sensor. The high-definition image acquisition device comprises at least four image acquisition units facing front, back and both sides of the unmanned carrier platform, is used for acquiring images in front of and on both sides of the unmanned carrier platform moving forward, and detects sundries inside the tunnel and cracks on a tunnel lining surface, and provides navigation auxiliary information for the unmanned carrier platform. The unmanned carrier platform completes motion navigation inside the tunnel through information acquired by the carried inertial measurement unit and the high-definition image acquisition device. The fixed acquisition device comprises one or more of an axle force meter, an inclinometer, a displacement meter and a stress meter, and is used for detecting adverse settlement, deformation and stress conditions inside the tunnel.

4. The system of claim 1, wherein, The tunnel portal positioning module adopts a satellite positioning device.

5. The system of claim 1, wherein, The early warning module comprises a sound-light alarm installed on the tunnel portal and inside the tunnel, a mobile phone early warning terminal receiving an App or short message early warning prompt, and an early warning terminal in a train.

6. The system of claim 1, wherein, The GIS display module is further included, and is used for making early warning display on a GIS map according to positioning information when data exceeds the safety threshold value.

7. The system of claim 1, wherein, ​

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