Rail transit infrastructure deformation monitoring system
By using the combination of machine vision measurement means and terminal early warning server in the rail transit infrastructure deformation monitoring system, a full-link monitoring system is built, which solves the problem of low intelligence and inability to monitor real-time in the existing system, and realizes 24-hour uninterrupted real-time monitoring and early warning, improving safety and timeliness.
Patent Information
- Application Number
- CN202421715591.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-19
- Publication Date
- 2025-04-18
- Estimated Expiration
- 2034-07-19
AI Technical Summary
The existing rail transit infrastructure deformation monitoring system is low in intelligence, and it is impossible to achieve 7*24 hours of uninterrupted real-time monitoring, resulting in timely warning and missing the critical opportunity to capture the occurrence of dangerous situations.
Using the combination of machine vision measurement methods and terminal early warning servers, a full-link monitoring system is built, including a single-point sensing monitoring device, a processing control center and an application platform, to achieve 24-hour uninterrupted real-time measurement and remote monitoring and alarm.
It has achieved 24-hour uninterrupted real-time monitoring and early warning, which can accurately determine whether the rail transit infrastructure has undergone dangerous deformation and timely alarms to avoid missing critical opportunities for dangerous situations.
Smart Images

Figure CN222773950U_ABST
Abstract
Description
Technical Field
[0001] The utility model relates to the field of safety monitoring applied in rail transportation, in particular to a deformation monitoring system for rail transportation infrastructure. Background Art
[0002] Existing safety monitoring methods often use the method of regularly collecting infrastructure deformation variables to record safety data information during construction or operation, and then judge the safety status of the facility through data comparison. The intelligence level is low and it cannot achieve 7*24 hours of uninterrupted real-time monitoring, which often leads to the failure of timely warning and the loss of critical opportunities to capture dangerous situations. Utility Model Content
[0003] The technical problem to be solved by the utility model is to overcome the deficiencies in the prior art and provide a rail transit infrastructure deformation monitoring system, which realizes remote real-time monitoring and alarm and has great market promotion value.
[0004] The utility model is realized through the following technical solutions:
[0005] A rail transit infrastructure deformation monitoring system includes several groups of single-point sensing monitoring devices, several groups of processing control centers and an application platform. The input end of the processing control center is communicatively connected to the output ends of the several single-point sensing monitoring devices, and the output end of the processing control center is communicatively connected to the input end of the application platform. The single-point sensing monitoring device includes a laser emitting component and a visual measurement component that are fixedly arranged relatively to each other. The laser emitting component is fixed at a reference point, and the visual measurement component is fixed at a measured point. The laser emitting component projects a laser beam toward the visual measurement component, and the visual measurement component receives the laser beam to form an optical projection point. The laser emitting component and the visual measurement component cooperate to monitor the relative position change of the measured point and the reference point in real time.
[0006] It can be seen that in the above technical scheme, this patent is based on the measurement scheme of machine vision, and has built a full-link monitoring system from front-end optical measurement, microwave communication, mid-end data collection, intelligent risk prediction, dangerous situation alarm, terminal remote display, and risk reporting; this patent aims at the defects of low intelligence and inability to monitor in real time of existing rail transit infrastructure deformation monitoring equipment, and adopts a combination of machine vision measurement methods and terminal early warning servers to achieve 24-hour uninterrupted real-time measurement. The processing and control center includes a built-in intelligent early warning subsystem, which can accurately determine whether dangerous deformation has occurred in the rail transit infrastructure and issue an early warning; and the on-site detection data can also be uploaded to the cloud database in real time to achieve remote monitoring and alarm.
[0007] According to the above technical solution, preferably, the visual measurement component is a camera measurement component.
[0008] According to the above technical solution, preferably, when the relative position of the measured point changes with respect to the reference point, the optical projection point also changes position on the visual measurement component synchronously, and detection data including the deformation amount is obtained through the visual measurement component.
[0009] According to the above technical solution, preferably, the single-point sensing monitoring device, the processing control center and the application platform all include wireless communication modules.
[0010] According to the above technical solution, preferably, the wireless communication module includes one or more of Bluetooth, ZigBee and NB-IoT communication modules.
[0011] It can be seen that in the above technical solution, stable transmission of detection data can be achieved through the wireless communication module.
[0012] According to the above technical solution, preferably, the processing control center includes a data storage card and an intelligent early warning subsystem, the data storage card is used to store detection data, the intelligent early warning subsystem is electrically connected to the data storage card, and the intelligent early warning subsystem is used to analyze the detection data and issue an early warning.
[0013] It can be seen that in the above technical solution, the data storage card is used to store the detection data, and the intelligent early warning subsystem is electrically connected to the data storage card. The intelligent early warning subsystem can efficiently analyze the detection data and issue early warnings.
[0014] According to the above technical solution, preferably, the application platform includes a display terminal and a cloud database, the input end of the cloud database is communicatively connected to the processing control center, the cloud database receives the detection data, and the display terminal is electrically connected to the cloud database.
[0015] It can be seen that in the above technical solution, the input end of the cloud database is connected to the processing control center for communication, thereby enabling the detection data of the processing control center to be efficiently stored and subsequently developed and utilized.
[0016] The beneficial effects of the utility model are:
[0017] (1) This patent is based on the measurement solution of machine vision, and has built a full-link monitoring system from front-end optical measurement, microwave communication, mid-end data collection, risk intelligent prediction, danger alarm, end-end remote display, and risk reporting;
[0018] (2) This patent aims to address the defects of existing deformation monitoring equipment for rail transit infrastructure, such as low intelligence and inability to monitor in real time. It adopts a combination of machine vision measurement methods and terminal warning servers to achieve 24-hour uninterrupted real-time measurement. The processing and control center includes a built-in intelligent warning subsystem that can accurately determine whether dangerous deformation has occurred in rail transit infrastructure and issue warnings. The on-site detection data can also be uploaded to the cloud database in real time to achieve remote monitoring and alarm. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] Figure 1 A schematic structural diagram of an embodiment of the present utility model is shown;
[0020] Figure 2 A schematic diagram of the structure of a single-point sensing monitoring device in an embodiment of the utility model is shown;
[0021] Figure 3 A schematic diagram showing the principle of a single-point sensing monitoring device in an embodiment of the utility model is shown; DETAILED DESCRIPTION
[0022] In order to enable those skilled in the art to better understand the technical solution of the utility model, the utility model is further described in detail below in conjunction with the accompanying drawings and the best embodiment. Based on the embodiments in the utility model, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the utility model.
[0023] In the description of the utility model, it should be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside", etc. indicate directions or positional relationships based on the directions or positional relationships shown in the accompanying drawings. They are only for the convenience of describing the utility model and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction. Therefore, they cannot be understood as limitations on the utility model.
[0024] As shown in the figure, the utility model provides a rail transit infrastructure deformation monitoring system, including several groups of single-point sensing monitoring devices, several groups of processing control centers and application platforms, the input end of the processing control center is communicatively connected with the output end of the several single-point sensing monitoring devices, the output end of the processing control center is communicatively connected with the input end of the application platform, the single-point sensing monitoring device includes a laser emitting component and a visual measurement component fixedly arranged relatively, the laser emitting component is fixed at a reference point, the visual measurement component is fixed at a measured point, the laser emitting component projects a laser beam toward the visual measurement component, the visual measurement component receives the laser beam to form an optical projection point, the laser emitting component The components and visual measurement components are used to monitor the relative position changes of the measured points and the reference points in real time. The processing and control center includes a data storage card and an intelligent early warning subsystem. The data storage card is used to store the detection data. The intelligent early warning subsystem is electrically connected to the data storage card. The intelligent early warning subsystem is used to analyze the detection data and issue early warnings. The application platform includes a display terminal and a cloud database. The input end of the cloud database is communicated with the processing and control center. The cloud database receives the detection data. The display terminal is electrically connected to the cloud database. The input end of the cloud database is communicated with the processing and control center, thereby enabling the detection data of the processing and control center to be efficiently stored and subsequently developed and utilized for secondary development.
[0025] This patent is based on a machine vision measurement solution, and has built a full-link monitoring system from front-end optical measurement, microwave communication, mid-end data collection, intelligent risk prediction, dangerous situation alarm, terminal remote display, and risk reporting. This patent aims to address the defects of existing rail transit infrastructure deformation monitoring equipment, which has a low level of intelligence and cannot be monitored in real time. It adopts a combination of machine vision measurement methods and terminal early warning servers to achieve 24-hour uninterrupted real-time measurement. The processing and control center includes a built-in intelligent early warning subsystem, which can accurately determine whether dangerous deformation has occurred in the rail transit infrastructure and issue an early warning. The on-site detection data can also be uploaded to the cloud database in real time to achieve remote monitoring and alarm.
[0026] Optionally, in a possible implementation, the visual measurement component is a camera measurement component, and when the measured point changes relative to the reference point, the optical projection point changes position on the visual measurement component synchronously, and detection data including deformation is obtained through the visual measurement component.
[0027] Optionally, in a possible implementation, the single-point sensing monitoring device, the processing control center and the application platform all include wireless communication modules, and the wireless communication modules include one or more of Bluetooth, ZigBee and NB-IoT communication modules, and stable transmission of detection data can be achieved through the wireless communication modules.
[0028] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.
Claims
1. A rail transit infrastructure deformation monitoring system, characterized in that: It includes several groups of single-point sensing monitoring devices, several groups of processing control centers and application platforms. The input end of the processing control center is communicatively connected with the output ends of the several single-point sensing monitoring devices, and the output end of the processing control center is communicatively connected with the input end of the application platform. The single-point sensing monitoring device includes a laser emitting component and a visual measurement component that are fixedly arranged relatively to each other. The laser emitting component is fixed at a reference point, and the visual measurement component is fixed at a measured point. The laser emitting component projects a laser beam toward the visual measurement component, and the visual measurement component receives the laser beam to form an optical projection point. The laser emitting component and the visual measurement component cooperate to monitor the relative position changes of the measured point and the reference point in real time.
2. A rail transit infrastructure deformation monitoring system according to claim 1, characterized in that: The visual measurement component is a camera measurement component.
3. A rail transit infrastructure deformation monitoring system according to claim 2, characterized in that: When the relative position of the measured point changes with respect to the reference point, the optical projection point also changes its position on the visual measurement component synchronously, and the detection data including the deformation amount is obtained through the visual measurement component.
4. A rail transit infrastructure deformation monitoring system according to claim 3, characterized in that: The single-point sensing monitoring device, the processing control center and the application platform all include wireless communication modules.
5. A rail transit infrastructure deformation monitoring system according to claim 4, characterized in that: The wireless communication module includes one or more of Bluetooth, ZigBee and NB-IoT communication modules.
6. A rail transit infrastructure deformation monitoring system according to claim 5, characterized in that: The processing control center includes a data storage card and an intelligent early warning subsystem, the data storage card is used to store detection data, the intelligent early warning subsystem is electrically connected to the data storage card, and the intelligent early warning subsystem is used to analyze the detection data and issue an early warning.
7. A rail transit infrastructure deformation monitoring system according to claim 6, characterized in that: The application platform includes a display terminal and a cloud database. The input end of the cloud database is communicatively connected to the processing control center. The cloud database receives detection data. The display terminal is electrically connected to the cloud database.