A stable train underframe temperature detection system based on image component tracking

Abstract

A kind of stable train bottom temperature detection system based on image component tracking, it includes image acquisition module, data transmission module and data processing module, the image acquisition module, data transmission module and data processing module are sequentially signal connection;The image acquisition module includes two groups of camera groups and trigger sensor, two groups The camera group is arranged in the inside central of train track and is front and rear arrangement, and the trigger sensor is arranged on train track;The camera group includes thermal imaging camera and visible light camera, and the thermal imaging camera and visible light camera are adjacent and arranged in the inside central of train track and are all signal connection with trigger sensor.The utility model discloses through design thermal imaging and visible light dual collection detection non-contact temperature detection system, can real-time, accurately detect the temperature of each operating component of train bottom;The utility model has strong practicability, and has strong popularization significance.

Description

Technical Field

[0001] This utility model relates to the field of train inspection, and in particular to a stable train undercarriage temperature detection system based on image component tracking. Background Technology

[0002] In the field of rail transit, the safe operation of trains is of paramount importance, and the condition of the important operating components of the vehicle is directly related to driving safety. Among these, the temperature of the operating components of the train is one of the important indicators for condition monitoring.

[0003] Existing temperature measurement methods for train components typically fall into two categories. One is the traditional contact measurement method, which involves using sensors such as thermocouples to directly contact the component and measure temperature. However, this contact method has many drawbacks. It requires significant manpower for sensor installation, debugging, and maintenance. Furthermore, for complex components, the process of installing and removing sensors is extremely cumbersome, further increasing labor costs. Additionally, contact sensors are expensive and prone to wear and damage over long-term use, requiring periodic replacement, which undoubtedly increases the material costs of testing. Moreover, contact measurements can only be performed when the train returns to the depot, making it impossible to monitor component temperature changes in real time during train operation.

[0004] Another approach is to use a non-contact system for temperature measurement. While conventional non-contact measurement methods address some of the issues of contact measurements, they also have limitations. Conventional non-contact methods often only provide a general temperature reading and cannot pinpoint the specific component causing the anomaly, or they rely solely on thermal imaging images, making them susceptible to detection failures due to temperature fluctuations in train components. When the system detects an abnormal temperature, maintenance personnel need to spend a significant amount of time inspecting various components under the train. This not only wastes time and effort but may also prevent timely repairs, thus impacting the normal operation of the train. Utility Model Content

[0005] Therefore, it is necessary to provide a stable train undercarriage temperature detection system based on image component tracking to address the shortcomings of existing technologies.

[0006] A stable train undercarriage temperature detection system based on image component tracking includes an image acquisition module, a data transmission module, and a data processing module, which are sequentially signal-connected. The image acquisition module includes two camera groups and a trigger sensor. Both camera groups are located on the inner center of the train track and are arranged facing each other. The trigger sensor is located on the train track. Each camera group includes a thermal imaging camera and a visible light camera, which are adjacent to each other on the inner center of the train track and are both signal-connected to the trigger sensor.

[0007] Furthermore, the image acquisition module also includes a supplementary light, which is vertically positioned on the inner edge of the train track and corresponding to the visible light camera. The supplementary light is also connected to a trigger sensor signal.

[0008] Furthermore, the trigger sensor includes a magnetic steel sensor, which is installed on the train track and is connected to the signals of both the thermal imaging camera and the visible light camera.

[0009] Furthermore, the trigger sensor also includes an infrared beam sensor, which is installed on both sides of the train track and is connected to the signals of a thermal imaging camera and a visible light camera, respectively.

[0010] Furthermore, the data transmission module includes a wired data transmission line, the two ends of which are respectively connected to the image acquisition module and the data processing module.

[0011] Furthermore, the data processing module includes an analysis and processing server, which is signal-connected to the data transmission module.

[0012] Furthermore, the stable train undercarriage temperature detection system based on image component tracking also includes a display module, which comprises a display and an alarm. Both the display and the alarm are signal-connected to the data processing module.

[0013] In summary, the beneficial effects of this utility model's stable train undercarriage temperature detection system based on image component tracking are as follows: By designing a non-contact temperature detection system with dual thermal imaging and visible light acquisition, it can detect the temperature of various operating components under the train in real time and accurately; the image acquisition module is designed with multiple trigger sensors, ensuring that each camera captures image data promptly and accurately when the train passes through the detection area; the front-to-back arrangement ensures that both camera groups simultaneously acquire comprehensive images of the train undercarriage, avoiding blind spots caused by large structural components such as gearboxes; the wired data transmission method enables faster and more reliable image data transmission, while the analysis and processing server can efficiently and accurately analyze and process the image data and generate temperature status detection results for various operating components under the train; the display module not only intuitively displays the detection results but also promptly issues alarms when abnormal train conditions are detected; this utility model is highly practical and has significant potential for widespread application. Attached Figure Description

[0014] Figure 1 This is a schematic diagram of the layout structure of a stable train undercarriage temperature detection system based on image component tracking according to this utility model. Detailed Implementation

[0015] To make the objectives, technical solutions, and advantages of this utility model clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of the utility model.

[0016] like Figure 1 As shown, this utility model provides a stable train undercarriage temperature detection system 100 based on image component tracking, which includes an image acquisition module 10, a data transmission module 20 and a data processing module 30, wherein the image acquisition module 10, the data transmission module 20 and the data processing module 30 are sequentially connected by signals.

[0017] The image acquisition module 10 includes two camera groups 11 and a trigger sensor. Both camera groups 11 are located on the inner center of the train track and are arranged facing each other. The trigger sensor is located on the train track. Each camera group 11 includes a thermal imaging camera 111 and a visible light camera 112. The thermal imaging camera 111 and the visible light camera 112 are adjacent to each other on the inner center of the train track and are both signal-connected to the trigger sensor.

[0018] When the image acquisition module 10 is working, when the train enters the detection area, the trigger sensor will send a signal to cause the two sets of cameras to work synchronously to acquire thermal imaging images and visible light images of the bottom of the train. Among them, the thermal imaging camera 111 can capture the thermal radiation information of various components under the train and convert it into temperature data; the visible light camera 112 can provide clear images of the components under the train, making it easier to identify the shape and position of the components.

[0019] After being analyzed and processed by the data processing module 30, the two types of image data collected can not only accurately represent the real-time temperature of the train's underside, but also accurately locate the temperature distribution of each operating component. In addition, the design of the front-to-back camera group 11 can ensure comprehensive image acquisition of the train's underside, avoiding blind spots caused by large structural components such as gearboxes.

[0020] The image acquisition module 10 also includes supplementary lighting 13, which is vertically positioned along the inner edge of the train track and corresponds to the visible light camera 112. The supplementary lighting 13 is also connected to a trigger sensor signal. Specifically, in this embodiment, the image acquisition module 10 has six sets of supplementary lighting 13, all of which are connected to the trigger sensor signal. The supplementary lighting 13 supplements the light from the bottom of the train, enabling the visible light camera 112 to capture clearer and more appropriately bright images of the train's underside. The illumination provided by the supplementary lighting 13 reduces image acquisition errors caused by lighting conditions and improves image quality.

[0021] The trigger sensor includes a magnetic sensor 121, which is installed on the train track and is connected to both the thermal imaging camera 111 and the visible light camera 112. The trigger sensor also includes an infrared beam sensor 122, which is installed on both outer sides of the train track and is connected to both the thermal imaging camera 111 and the visible light camera 112.

[0022] When a train wheel approaches the magnetic sensor 121, the magnetic sensor 121 generates an electrical signal. This signal, combined with the triggering status of the infrared beam sensor 122, determines whether the train has reached the designated position. If the train has reached the designated position and the infrared beam sensor 122 is blocked, the sensor sends signals to the thermal imaging camera 111 and the visible light camera 112, thereby triggering both cameras to capture image data of the train's underside. Using two sets of sensors allows for more precise and reliable triggering of the cameras.

[0023] The data transmission module 20 includes an infrared beam sensor 21, whose two ends are respectively connected to the image acquisition module 10 and the data processing module 30. The wired connection transmission design features high transmission speed and high stability, ensuring that the acquired image and temperature data are accurately transmitted to the server, providing a reliable data foundation for subsequent analysis.

[0024] The data processing module 30 includes an analysis and processing server 31, which is signal-connected to the data transmission module 20. Specifically, in this embodiment, the analysis and processing server 31 can employ a deep learning model such as a convolutional neural network (CNN). By training on a large number of train undercarriage images, the model learns the features and patterns of each component. When the analysis and processing server 31 receives the acquired image, it simply inputs the image into the trained model, and the model automatically identifies the components in the image and outputs the name and location of the components.

[0025] It is understood that in other embodiments, the stable train undercarriage temperature detection system 100 based on image component tracking also includes a display module (not shown), which includes a display (not shown) and an alarm (not shown). Both the display and the alarm are connected to the data processing module 30. The display allows monitoring personnel to monitor train status information in real time and intuitively. The alarm can promptly alert technicians to handle any abnormal train conditions.

[0026] In summary, the beneficial effects of this utility model's stable train undercarriage temperature detection system 100 based on image component tracking are as follows: By designing a non-contact temperature detection system with dual thermal imaging and visible light acquisition, it can detect the temperature of various operating components under the train undercarriage in real time and accurately; the image acquisition module 10 is designed with multiple trigger sensors, ensuring that each camera captures image data promptly and accurately when the train passes through the detection area; the front-to-back arrangement ensures that both sets of cameras simultaneously acquire comprehensive images of the train undercarriage, avoiding blind spots caused by large structural components such as gearboxes; the wired data transmission method enables faster and more reliable transmission of image data, while the analysis and processing server 31 can efficiently and accurately analyze and process the image data and generate temperature status detection results for various operating components under the train undercarriage; the display module not only displays the detection results intuitively but also issues timely alarms when abnormal train conditions are detected; this utility model is highly practical and has significant potential for widespread application.

[0027] The embodiments described above illustrate only one implementation of the utility model, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the utility model patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the inventive concept, and these all fall within the protection scope of the utility model. Therefore, the protection scope of the utility model patent should be determined by the appended claims.

Claims

1. A stable train undercarriage temperature detection system based on image component tracking, characterized in that: The system includes an image acquisition module, a data transmission module, and a data processing module, which are sequentially connected by signals. The image acquisition module includes two sets of camera groups and a trigger sensor. The two sets of camera groups are located on the inner center of the train track and are arranged facing each other. The trigger sensor is located on the train track. The camera groups include a thermal imaging camera and a visible light camera. The thermal imaging camera and the visible light camera are located adjacent to each other on the inner center of the train track and are both connected by signals to the trigger sensor.

2. The stable train undercarriage temperature detection system based on image component tracking as described in claim 1, characterized in that: The image acquisition module also includes a supplementary light, which is vertically positioned on the inner edge of the train track and corresponding to the visible light camera. The supplementary light is also connected to a trigger sensor signal.

3. The stable train undercarriage temperature detection system based on image component tracking as described in claim 1, characterized in that: The trigger sensor includes a magnetic steel sensor, which is installed on the train track and is connected to the signals of both a thermal imaging camera and a visible light camera.

4. The stable train undercarriage temperature detection system based on image component tracking as described in claim 1, characterized in that: The trigger sensor also includes an infrared beam sensor, which is installed on both sides of the train track and is connected to the signals of a thermal imaging camera and a visible light camera, respectively.

5. The stable train undercarriage temperature detection system based on image component tracking as described in claim 1, characterized in that: The data transmission module includes a wired data transmission line, and the two ends of the wired data transmission line are respectively connected to the image acquisition module and the data processing module.

6. The stable train undercarriage temperature detection system based on image component tracking as described in claim 1, characterized in that: The data processing module includes an analysis and processing server, which is signal-connected to the data transmission module.

7. The stable train undercarriage temperature detection system based on image component tracking as described in claim 1, characterized in that: It also includes a display module, which includes a display and an alarm; both the display and the alarm are connected to the data processing module via signals.

Images