Urban rail transit engineering monitoring system and method based on digital twin

Abstract

The present invention discloses an urban rail transit project monitoring system and method based on digital twins, which relates to the technical field of urban rail transit project monitoring, including a deformation measurement unit, a traffic light visual picture acquisition unit, a traffic light control instruction acquisition unit for a traffic light control signal for communicating and interacting with a traffic management department, a monitoring data analysis unit, a digital twin model generation unit, and an interactive display unit based on digital twins. The present invention aims to apply digital twin technology to the field of urban rail transit project monitoring, to build a digital world identical to the physical world of urban rail transit, and to simulate and run synchronously with real scenes. To achieve digital mapping, intelligent simulation, and forward-looking rehearsal of all objects, processes, and elements such as subway lines, stations, strata, structures, and surrounding environments, to timely discover problems and optimize scheduling, and ultimately achieve the purpose of early discovery of safety risks, early release of warnings, early formulation of plans, and early implementation of measures.

Description

Technical Field

[0001] The present invention relates to the technical field of urban rail transit engineering monitoring, and in particular to an urban rail transit engineering monitoring system and method based on digital twins. Background Art

[0002] Urban rail transit projects are important nodes in the city. The Technical Specifications for Monitoring Urban Rail Transit Projects are intended to regulate the monitoring activities of urban rail transit projects and ensure the safety, reliability and benefits of the project construction and operation. This specification applies to all aspects of urban rail transit project monitoring, including construction monitoring, operation monitoring and maintenance monitoring.

[0003] At present, urban rail transit project monitoring can be carried out using a variety of methods and technical means. According to different monitoring contents and requirements, appropriate monitoring methods can be selected. Commonly used monitoring methods include the following:

[0004] Sensor monitoring: real-time monitoring using sensors and measuring instruments, such as accelerometers, temperature sensors, etc.

[0005] Data processing and analysis: Process and analyze the collected data to obtain relevant indicators and conclusions;

[0006] Image monitoring: Use cameras and other image acquisition devices to conduct real-time image monitoring of the project.

[0007] Signal monitoring: monitor various signals, including communication signals, safety signals, etc.

[0008] Regardless of the monitoring method used, it can only achieve fixed monitoring, and the staff can only judge whether there is any abnormality in the urban rail transit project through data and images.

[0009] Therefore, how to apply digital twin technology in the field of urban rail transit project monitoring, build a digital world that is identical to the physical world of urban rail transit, simulate and run synchronously with the real scene, and dynamically display the monitoring system of urban rail transit projects to staff in real time is a technical problem that needs to be solved urgently. Summary of the invention

[0010] In order to solve the above technical problems, the present invention provides a digital twin-based urban rail transit project monitoring system and method. The following technical solutions are adopted:

[0011] The urban rail transit project monitoring system based on digital twins includes a deformation measurement unit for measuring benchmark monitoring points of urban rail transit projects, a traffic signal light visual image acquisition unit for shooting real-time images of traffic signals, a traffic signal light control instruction acquisition unit for communicating and interacting with traffic management departments, a monitoring data analysis unit, a digital twin model generation unit and an interactive display unit based on digital twins. Each urban rail transit target building is provided with multiple deformation detection points. The deformation measurement unit includes multiple position sensors, a surveying and mapping drone and a chip-based measurement controller. The multiple position sensors are respectively aligned with the multiple deformation detection points. The measurement controller controls the surveying and mapping drone to perform visual inspections on the target buildings according to the set inspection cycle. The data output ends of the multiple position sensors and the surveying and mapping drone are respectively communicated and connected with the monitoring data analysis unit to interact with the monitoring data. The traffic light visual image acquisition unit and the traffic light control instruction acquisition unit are respectively communicated with the monitoring data analysis unit, and the monitoring data analysis unit generates digital model data and deformation detection point data of multiple target buildings based on the monitoring data of multiple position sensors and mapping drones; the monitoring data analysis unit generates actual traffic light digital model data according to the real-time image data and position data of the traffic light of the traffic light visual image acquisition unit, and generates control-end traffic light digital model data according to the traffic light control signal of the traffic light control instruction acquisition unit. If the control-end traffic light digital model data is consistent with the actual traffic light digital model data, the verified traffic light digital model data is output to the digital twin model generation unit, otherwise the actual traffic light digital model data is output, and traffic light abnormality prompt data is added to the actual traffic light digital model data;

[0012] The digital twin model generation unit exchanges data with the monitoring data analysis unit and generates a global digital twin model of the urban rail transit project. The global digital twin model of the urban rail transit project is provided with multiple monitoring change points. The interactive display unit communicates with the digital twin model generation unit to interactively establish the global digital twin model of the urban rail transit project and dynamically displays it based on multiple monitoring change points.

[0013] By adopting the above technical solution, specifically, a mapping drone with a deformation measurement unit is used to obtain the initial physical entity three-dimensional data of each building and traffic light of the target city rail transit project, and then the overall physical entity three-dimensional data of the target city rail transit project is obtained through periodic inspections of the mapping drone, such as inspections every 12 hours. The monitoring data analysis unit will analyze the changes in the three-dimensional data of the physical entity, so as to make parameterized changes when generating the digital twin model. However, there are many blind spots in three-dimensional scanning from the air. Using multiple position sensors to perform more precise data measurement for multiple deformation detection points one by one can provide more accurate multiple deformation detection point data for the subsequent digital twin model. The selection of multiple deformation detection points is generally carried out manually. For example, the deformation detection points of the railway station can be the top and bottom of the support column of the hall, the top and bottom of the support column of the platform, etc. The data of these deformation detection points can be directly marked on the digital twin model later, or through touch display, so that the staff can understand the deformation of these key parts more clearly.

[0014] For traffic lights, an important element of urban rail transit projects, two channels are used to obtain data. One is that the traffic light visual image acquisition unit directly captures the image in a visual way to obtain the traffic light display data. The other is to obtain the traffic light control instruction acquisition unit through communication with the traffic management department. If the traffic light display is inconsistent with the control instruction, the actual traffic light simulation image should be displayed on the subsequent digital twin model, and the traffic light abnormal prompt data should be prompted at the same time, so that the staff can quickly understand the abnormal situation of the traffic lights in the target city rail transit project.

[0015] Optionally, the measurement controller includes a control chip, a memory and a multi-channel measurement data collector, wherein the control chip controls the execution actions of multiple position sensors and the surveying and mapping UAV respectively, and the multi-channel measurement data collector is communicatively connected to the multiple position sensors respectively. When the surveying and mapping UAV lands, it is communicatively connected to the multi-channel measurement data collector through a data line, and the data output end of the multi-channel measurement data collector is communicatively connected to the memory, and the memory is communicatively connected to the monitoring data analysis unit.

[0016] By adopting the above technical solution, the measurement controller is mainly implemented based on the control instruction set of the control chip, and the multi-channel measurement data collector can realize multi-channel data collection, and can collect data from multiple position sensors and surveying and mapping drones and store them in the memory.

[0017] Optionally, the traffic light visual image acquisition unit includes multiple visual cameras and multiple brackets, and the multiple visual cameras are respectively installed in front of the traffic light through the multiple brackets to capture the real-time image of the traffic light and exchange the real-time image data of the traffic light with the monitoring data analysis unit.

[0018] By adopting the above technical solution, the traffic light visual image acquisition unit directly uses a one-to-one visual camera to obtain the image of the traffic light, through which a simple visual recognition algorithm can be used to subsequently recognize the state of the traffic light.

[0019] Optionally, the traffic light control instruction acquisition unit is a network communication module, which communicates with the traffic management department of the location of the urban rail transit project to exchange traffic light control instructions.

[0020] By adopting the above technical solution, the unit that usually has the authority to monitor the urban rail transit project belongs to the management unit. Therefore, it can exchange traffic light control instructions with the traffic management department where the urban rail transit project is located. There is no authority problem. Obtaining traffic light control instructions can be used as a detection standard for whether the traffic light status is normal.

[0021] Optionally, the monitoring data analysis unit includes a visual analysis chip, a data analysis chip, a data storage device and a model data generation computer, and the data storage device is respectively communicated with the memory, multiple visual cameras and a traffic light control instruction acquisition unit, and the visual analysis chip, data analysis chip and model data generation computer are respectively communicated with the data storage device.

[0022] By adopting the above technical solution, the monitoring data analysis unit uses a visual analysis chip to perform visual analysis, uses a data analysis chip to perform data processing and analysis on a large number of parameters, and the model data generation computer generates digital model data for the processed data.

[0023] Optionally, the digital twin model generation unit is a digital twin AI server, and the digital twin model generation unit is pre-installed with modeling and simulation software.

[0024] By adopting the above technical solutions, the digital twin AI server can efficiently generate a global digital twin model of the target urban rail transit project based on efficient digital model data and dynamic display data;

[0025] The digital twin AI server can be an innovative digital twin platform AI server developed based on NVIDIA Omniverse.

[0026] Optionally, the interactive display unit is a touch display.

[0027] By adopting the above technical solution, the touch display can display the global digital twin model of the target city rail transit project, and at the same time provide touch display points based on multiple monitoring change points, so that staff can touch to display more detailed parameters.

[0028] The urban rail transit project monitoring method based on digital twins uses an urban rail transit project monitoring system based on digital twins to monitor the target urban rail transit project, including the following steps:

[0029] Step 1: The control chip controls the surveying and mapping drone to perform an initial three-dimensional scan of multiple target buildings and multiple traffic lights of the target city rail transit project to obtain three-dimensional data of physical entities;

[0030] Step 2: manually marking a plurality of deformation detection points on the physical entity three-dimensional data of the target building according to the design data of the target building, and respectively setting a plurality of position sensors at the plurality of deformation detection points;

[0031] Step 3: The control chip controls the surveying and mapping drone to inspect and scan multiple target buildings and multiple traffic lights of the target city rail transit project every 12 hours to obtain inspection and scanning data, and multiple visual cameras capture actual image data of multiple traffic lights;

[0032] Step 4, the monitoring data analysis unit generates digital model data and deformation detection point data of multiple target buildings based on the physical entity three-dimensional data of step 1 and the multiple deformation detection points of step 2, and generates multiple traffic light digital model data based on the actual image data of multiple traffic lights;

[0033] Generate control end traffic light digital model data according to the traffic light control signal of the traffic light control instruction acquisition unit;

[0034] The digital model data of the traffic light at the control end is compared with the digital model data of the actual traffic light. If the digital model data of the traffic light at the control end is consistent with the digital model data of the actual traffic light, the verified digital model data of the traffic light is output to the digital twin model generation unit; otherwise, the actual digital model data of the traffic light is output, and the abnormal prompt data of the traffic light is added to the actual digital model data of the traffic light;

[0035] Step 5: The digital twin model generation unit generates a digital model of the target urban rail transit project in real time;

[0036] Step 6: The interactive display unit displays a dynamic digital twin model based on multiple monitoring change points.

[0037] Optionally, in step 4, the traffic light abnormality prompt data includes the control end traffic light digital model data and the traffic light time difference data displayed by a dotted line marked in red.

[0038] Optionally, the monitoring change points displayed by the dynamic digital twin model in step 6 include the display of changes in parameters of multiple deformation detection points and the display of changes in traffic light abnormality prompt data.

[0039] In summary, the present invention includes at least one of the following beneficial technical effects:

[0040] The present invention can provide a monitoring system and method for urban rail transit projects based on digital twins, using a mapping drone with a deformation measurement unit to obtain the initial physical entity three-dimensional data of each building and traffic light of the target urban rail transit project, and then obtaining the overall physical entity three-dimensional data of the target urban rail transit project through periodic inspections by the mapping drone. The monitoring data analysis unit analyzes the changes in the physical entity three-dimensional data, thereby performing parameterized changes when generating a digital twin model, and using multiple position sensors to perform more precise data measurement at multiple deformation detection points one by one, providing more accurate multiple deformation detection point data for subsequent digital twin models, so that the staff can understand the deformation of these key parts more clearly;

[0041] Traffic lights use two channels to obtain data. One is that the traffic light visual image acquisition unit directly captures the image in a visual way to obtain the traffic light display data. The other is that the traffic light control instruction acquisition unit communicates with the traffic management department to obtain the traffic light control instruction. If the traffic light display does not match the control instruction, the actual traffic light simulation image should be displayed on the subsequent digital twin model, and the traffic light abnormal prompt data should be prompted at the same time, so that the staff can quickly understand the abnormal situation of the traffic lights in the target city rail transit project.

[0042] The aim is to apply digital twin technology to the monitoring of urban rail transit projects, build a digital world that is identical to the physical world of urban rail transit, and simulate and run synchronously with real scenes. By developing an intelligent monitoring system for urban rail transit projects based on digital twin technology, and carrying out demonstration applications and achievement transformation, digital mapping, intelligent simulation, and forward-looking rehearsal of all objects, processes, and elements such as subway lines, stations, strata, structures, and surrounding environments can be achieved, problems can be discovered in a timely manner, and scheduling can be optimized. Ultimately, the purpose of early detection of safety risks, early release of warnings, early formulation of plans, and early implementation of measures can be achieved, providing intelligent, scientific, and refined safety guarantees for the construction and operation and maintenance of urban rail transit projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1It is a schematic diagram of the connection principle of electrical components of the urban rail transit engineering monitoring system based on digital twins of the present invention;

[0044] Figure 2 It is a schematic diagram of the connection principle of the electrical components of the deformation measurement unit of the urban rail transit engineering monitoring system based on digital twins of the present invention;

[0045] Figure 3 It is a schematic diagram of the effect of abnormal prompt of traffic lights in the digital twin model of the target urban rail transit project of the urban rail transit project monitoring system based on digital twin of the present invention.

[0046] Explanation of the accompanying drawings: 1. Deformation measurement unit; 11. Position sensor; 12. Surveying and mapping drone; 13. Measurement controller; 131. Control chip; 132. Memory; 133. Multi-channel measurement data collector; 2. Traffic light visual image acquisition unit; 21. Visual camera; 3. Traffic light control instruction acquisition unit; 4. Monitoring data analysis unit; 41. Visual analysis chip; 42. Data analysis chip; 43. Data storage device; 44. Model data generation computer; 5. Digital twin model generation unit; 6. Interactive display unit. DETAILED DESCRIPTION

[0047] The present invention is further described in detail below in conjunction with the accompanying drawings.

[0048] The embodiments of the present invention disclose a system and method for monitoring an urban rail transit project based on digital twins.

[0049] Reference Figure 1-Figure 3Embodiment 1, an urban rail transit project monitoring system based on digital twins, comprising a deformation measurement unit 1 for measuring benchmark monitoring points of urban rail transit projects, a traffic light visual image acquisition unit 2 for shooting real-time images of traffic lights, a traffic light control instruction acquisition unit 3 for communicating and interacting with traffic control departments, a monitoring data analysis unit 4, a digital twin model generation unit 5 and an interactive display unit 6 based on digital twins. Each urban rail transit target building is provided with multiple deformation detection points. The deformation measurement unit 1 comprises multiple position sensors 11, a surveying and mapping drone 12 and a chip-based measurement controller 13. The multiple position sensors 11 are respectively aligned with the multiple deformation detection points. The measurement controller 13 controls the surveying and mapping drone 12 to perform visual inspections on the target buildings according to the set inspection cycle. The data output ends of the multiple position sensors 11 and the surveying and mapping drone 12 are respectively connected to the monitoring data analysis unit 4 for communication and interaction. The monitoring data, the traffic light visual picture acquisition unit 2 and the traffic light control instruction acquisition unit 3 are respectively communicated with the monitoring data analysis unit 4, and the monitoring data analysis unit 4 generates digital model data and deformation detection point data of multiple target buildings based on the monitoring data of multiple position sensors 11 and the surveying and mapping drone 12; the monitoring data analysis unit 4 generates actual traffic light digital model data according to the real-time picture data and position data of the traffic light of the traffic light visual picture acquisition unit 2, and generates control-end traffic light digital model data according to the traffic light control signal of the traffic light control instruction acquisition unit 3. If the control-end traffic light digital model data is consistent with the actual traffic light digital model data, the verified traffic light digital model data is output to the digital twin model generation unit 5, otherwise the actual traffic light digital model data is output, and traffic light abnormality prompt data is added to the actual traffic light digital model data;

[0050] The digital twin model generation unit 5 interacts with the monitoring data analysis unit 4 to exchange data and generate a global digital twin model of the urban rail transit project. The global digital twin model of the urban rail transit project is provided with multiple monitoring change points. The interactive display unit 6 communicates with the digital twin model generation unit 5 to interact with the global digital twin model of the urban rail transit project and dynamically displays it based on multiple monitoring change points.

[0051] Specifically, the mapping drone 12 of the deformation measurement unit 1 is used to obtain the initial physical entity three-dimensional data of each building and traffic light of the target city rail transit project, and then the overall physical entity three-dimensional data of the target city rail transit project is obtained through periodic inspections of the mapping drone 12, for example, inspections are performed every 12 hours. The monitoring data analysis unit 4 will analyze the changes in the physical entity three-dimensional data, so as to make parameterized changes when generating the digital twin model. However, there are many blind spots in three-dimensional scanning from the air. Using multiple position sensors 11 to perform more precise data measurement for multiple deformation detection points one by one can provide more accurate multiple deformation detection point data for the subsequent digital twin model. The selection of multiple deformation detection points is generally carried out manually. For example, the deformation detection points of the railway station can be the top and bottom of the support column of the hall, the top and bottom of the support column of the platform, and other positions. The data of these deformation detection points can be directly marked on the digital twin model later, or displayed through touch, so that the staff can understand the deformation of these key parts more clearly.

[0052] For traffic lights, an important element of urban rail transit projects, two channels are used to obtain data. One is that the traffic light visual image acquisition unit 2 directly captures the image in a visual way to obtain the traffic light display data. The other is to communicate with the traffic management department through the traffic light control instruction acquisition unit 3 to obtain the traffic light control instruction. If the traffic light display is inconsistent with the control instruction, the actual traffic light simulation image should be displayed on the subsequent digital twin model, and the traffic light abnormal prompt data should be prompted at the same time, so that the staff can quickly understand the abnormal situation of the traffic lights in the target city rail transit project.

[0053] In embodiment 2, the measurement controller 13 includes a control chip 131, a memory 132 and a multi-channel measurement data collector 133. The control chip 131 controls the execution actions of multiple position sensors 11 and the surveying and mapping UAV 12 respectively. The multi-channel measurement data collector 133 is communicated with the multiple position sensors 11 respectively. When the surveying and mapping UAV 12 lands, it is communicated with the multi-channel measurement data collector 133 through a data line. The data output end of the multi-channel measurement data collector 133 is communicated with the memory 132, and the memory 132 is communicated with the monitoring data analysis unit 4.

[0054] The measurement controller 13 is mainly implemented based on the control instruction set of the control chip 131 . The multi-channel measurement data collector 133 can realize multi-channel data collection, and can collect data from multiple position sensors 11 and surveying and mapping drones 12 and store them in the memory 132 .

[0055] Embodiment 3, the traffic light visual image acquisition unit 2 includes multiple visual cameras 21 and multiple brackets. The multiple visual cameras 21 are respectively installed in front of the traffic light through multiple brackets to capture the real-time image of the traffic light and exchange the real-time image data of the traffic light with the monitoring data analysis unit 4.

[0056] The traffic light visual image acquisition unit 2 directly uses a one-to-one visual camera 21 to obtain the image of the traffic light, through which a simple visual recognition algorithm can be used to subsequently recognize the state of the traffic light.

[0057] In the fourth embodiment, the traffic light control instruction acquisition unit 3 is a network communication module, which communicates with the traffic management department of the location of the urban rail transit project to exchange traffic light control instructions.

[0058] Usually, the unit that has the authority to monitor urban rail transit projects is the management unit. Therefore, it can exchange traffic light control instructions with the traffic management department where the urban rail transit project is located. There is no authority issue. Obtaining traffic light control instructions can be used as a detection standard for whether the traffic light status is normal.

[0059] Embodiment 5, the monitoring data analysis unit 4 includes a visual analysis chip 41, a data analysis chip 42, a data storage device 43 and a model data generation computer 44, the data storage device 43 is respectively communicated with the memory 132, multiple visual cameras 21 and the traffic light control instruction acquisition unit 3, and the visual analysis chip 41, the data analysis chip 42 and the model data generation computer 44 are respectively communicated with the data storage device 43.

[0060] The monitoring data analysis unit 4 uses a visual analysis chip 41 to perform visual analysis, uses a data analysis chip 42 to perform data processing and analysis on a large number of parameters, and a model data generation computer 44 generates digital model data for the processed data.

[0061] In Example 6, the digital twin model generation unit 5 is a digital twin AI server, and the digital twin model generation unit 5 is pre-installed with modeling and simulation software.

[0062] The digital twin AI server can efficiently generate a global digital twin model of the target city rail transit project based on efficient digital model data and dynamic display data;

[0063] The digital twin AI server can be an innovative digital twin platform AI server developed based on NVIDIA Omniverse.

[0064] In embodiment 7, the interactive display unit 6 is a touch display.

[0065] The touch display can display the global digital twin model of the target city’s rail transit project, while providing touch display points based on multiple monitoring change points, so that staff can touch to display more detailed parameters.

[0066] Embodiment 8, a method for monitoring an urban rail transit project based on digital twins, adopts an urban rail transit project monitoring system based on digital twins to monitor a target urban rail transit project, comprising the following steps:

[0067] Step 1, the control chip 131 controls the surveying and mapping drone 12 to perform an initial three-dimensional scan of multiple target buildings and multiple traffic lights of the target urban rail transit project to obtain physical entity three-dimensional data;

[0068] Step 2, manually marking a plurality of deformation detection points on the physical entity three-dimensional data of the target building according to the design data of the target building, and respectively setting a plurality of position sensors 11 at the plurality of deformation detection points;

[0069] Step 3, the control chip 131 controls the surveying and mapping drone 12 to inspect and scan multiple target buildings and multiple traffic lights of the target city rail transit project every 12 hours to obtain inspection and scanning data, and multiple visual cameras 21 capture actual image data of multiple traffic lights;

[0070] Step 4, the monitoring data analysis unit 4 generates digital model data and deformation detection point data of multiple target buildings based on the physical entity three-dimensional data of step 1 and the multiple deformation detection points of step 2, and generates multiple digital model data of traffic lights based on the actual picture data of multiple traffic lights;

[0071] Generate control end traffic light digital model data according to the traffic light control signal of the traffic light control instruction acquisition unit 3;

[0072] The digital model data of the traffic light at the control end is compared with the digital model data of the actual traffic light. If the digital model data of the traffic light at the control end is consistent with the digital model data of the actual traffic light, the verified digital model data of the traffic light is output to the digital twin model generation unit 5; otherwise, the actual digital model data of the traffic light is output, and the abnormal prompt data of the traffic light is added to the actual digital model data of the traffic light;

[0073] Step 5, the digital twin model generation unit 5 generates a digital model of the target urban rail transit project in real time;

[0074] Step 6: The interactive display unit 6 displays a dynamic digital twin model based on multiple monitoring change points.

[0075] In Example 9, in step 4, the traffic light abnormality prompt data includes the control end traffic light digital model data and the traffic light time difference data displayed in red dashed lines.

[0076] In Example 10, the monitoring change points displayed by the dynamic digital twin model in step 6 include the change display of multiple deformation detection point parameters and the change display of traffic light abnormal prompt data.

[0077] The above are all preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Therefore, any equivalent changes made based on the structure, shape, and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. The urban rail transit project monitoring system based on digital twin is characterized by: The system comprises a deformation measurement unit (1) for measuring a benchmark monitoring point of an urban rail transit project, a traffic signal light visual image acquisition unit (2) for photographing a real-time image of a traffic signal light, a traffic signal light control instruction acquisition unit (3) for communicating and interacting with a traffic control department, a monitoring data analysis unit (4), a digital twin model generation unit (5) and a digital twin-based interactive display unit (6), wherein each urban rail transit target building is provided with a plurality of deformation detection points, the deformation measurement unit (1) comprises a plurality of position sensors (11), a surveying and mapping drone (12) and a chip-based measurement controller (13), and the plurality of position sensors ( 11) are respectively aimed at a plurality of deformation detection points, the measurement controller (13) controls the surveying and mapping drone (12) to perform visual inspection on the target building according to a set inspection cycle, the data output ends of the plurality of position sensors (11) and the surveying and mapping drone (12) are respectively connected to the monitoring data analysis unit (4) for interactive monitoring data, the traffic light visual picture acquisition unit (2) and the traffic light control instruction acquisition unit (3) are respectively connected to the monitoring data analysis unit (4), and the monitoring data analysis unit (4) generates digital model data and deformation detection point data of the plurality of target buildings based on the monitoring data of the plurality of position sensors (11) and the surveying and mapping drone (12); The monitoring data analysis unit (4) generates actual traffic light digital model data based on the real-time image data and position data of the traffic light from the traffic light visual image acquisition unit (2), and generates control-end traffic light digital model data based on the traffic light control signal from the traffic light control instruction acquisition unit (3). If the control-end traffic light digital model data is consistent with the actual traffic light digital model data, the verified traffic light digital model data is output to the digital twin model generation unit (5); otherwise, the actual traffic light digital model data is output, and traffic light abnormality prompt data is added to the actual traffic light digital model data; The digital twin model generation unit (5) exchanges data with the monitoring data analysis unit (4) and generates a global digital twin model of the urban rail transit project. The global digital twin model of the urban rail transit project is provided with a plurality of monitoring change points. The interactive display unit (6) communicates with the digital twin model generation unit (5) to interact with the global digital twin model of the urban rail transit project and performs dynamic display based on the plurality of monitoring change points.

2. The urban rail transit engineering monitoring system based on digital twin according to claim 1 is characterized in that: The measurement controller (13) comprises a control chip (131), a memory (132) and a multi-channel measurement data collector (133); the control chip (131) controls the execution actions of the plurality of position sensors (11) and the surveying and mapping drone (12) respectively; the multi-channel measurement data collector (133) is communicatively connected to the plurality of position sensors (11) respectively; when the surveying and mapping drone (12) lands, it is communicatively connected to the multi-channel measurement data collector (133) via a data line; a data output end of the multi-channel measurement data collector (133) is communicatively connected to the memory (132); and the memory (132) is communicatively connected to the monitoring data analysis unit (4).

3. The urban rail transit engineering monitoring system based on digital twin according to claim 2 is characterized in that: The traffic light visual image acquisition unit (2) comprises a plurality of visual cameras (21) and a plurality of brackets. The plurality of visual cameras (21) are respectively installed in front of the traffic light via the plurality of brackets to capture a real-time image of the traffic light and to exchange the real-time image data of the traffic light with the monitoring data analysis unit (4).

4. The urban rail transit engineering monitoring system based on digital twin according to claim 3 is characterized in that: The traffic signal light control instruction acquisition unit (3) is a network communication module, which communicates with the traffic management department at the location of the urban rail transit project to exchange traffic signal light control instructions.

5. The urban rail transit engineering monitoring system based on digital twin according to claim 4 is characterized in that: The monitoring data analysis unit (4) comprises a visual analysis chip (41), a data analysis chip (42), a data storage device (43) and a model data generation computer (44); the data storage device (43) is respectively connected to the memory (132), a plurality of visual cameras (21) and a traffic light control instruction acquisition unit (3); and the visual analysis chip (41), the data analysis chip (42) and the model data generation computer (44) are respectively connected to the data storage device (43).

6. The urban rail transit engineering monitoring system based on digital twin according to claim 5 is characterized in that: The digital twin model generation unit (5) is a digital twin AI server, and the digital twin model generation unit (5) is pre-installed with modeling and simulation software.

7. The urban rail transit engineering monitoring system based on digital twin according to claim 6 is characterized in that: The interactive display unit (6) is a touch display.

8. The urban rail transit project monitoring method based on digital twin is characterized by: The target urban rail transit project is monitored using the urban rail transit project monitoring system based on digital twins as described in any one of claims 1 to 7, comprising the following steps: Step 1, the control chip (131) controls the surveying and mapping drone (12) to perform an initial three-dimensional scan of multiple target buildings and multiple traffic lights of a target urban rail transit project to obtain three-dimensional data of physical entities; Step 2, manually marking a plurality of deformation detection points on the physical entity three-dimensional data of the target building according to the design data of the target building, and respectively setting a plurality of position sensors (11) at the plurality of deformation detection points; Step 3, the control chip (131) controls the surveying and mapping drone (12) to perform inspection and scanning of multiple target buildings and multiple traffic lights of the target urban rail transit project every 12 hours to obtain inspection and scanning data, and multiple visual cameras (21) capture actual image data of multiple traffic lights; Step 4, the monitoring data analysis unit (4) generates digital model data and deformation detection point data of multiple target buildings based on the physical entity three-dimensional data of step 1 and the multiple deformation detection points of step 2, and generates digital model data of multiple traffic lights based on the actual image data of multiple traffic lights; Generate control end traffic light digital model data according to the traffic light control signal of the traffic light control instruction acquisition unit (3); The digital model data of the traffic light at the control end is compared with the digital model data of the actual traffic light. If the digital model data of the traffic light at the control end is consistent with the digital model data of the actual traffic light, the verified digital model data of the traffic light is output to the digital twin model generation unit (5); otherwise, the actual traffic light digital model data is output, and traffic light abnormality prompt data is added to the actual traffic light digital model data; Step 5, the digital twin model generation unit (5) generates a digital model of the target urban rail transit project in real time; Step 6: The interactive display unit (6) displays a dynamic digital twin model based on multiple monitoring change points.

9. The urban rail transit project monitoring method based on digital twin according to claim 8 is characterized in that: In step 4, the traffic light abnormality prompt data includes the control end traffic light digital model data and the traffic light time difference data displayed by the dotted line in red.

10. The urban rail transit project monitoring method based on digital twin according to claim 9 is characterized in that: The monitoring change points displayed by the dynamic digital twin model in step 6 include the change display of multiple deformation detection point parameters and the change display of traffic light abnormal prompt data.

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