Cross-tunnel structure simulation analysis system based on multi-source heterogeneous information

Abstract

The application discloses a kind of based on the simulation analysis system of cross tunnel structure of multi-source heterogeneous information, it is related to digital twin technical field, effectively improve the actual reflection effect of simulation model to cross result.The application establishes construction scene simulation model according to radar pulse reflection signal spectrum, and establishes several cross tunnel construction targets according to construction scene simulation model, obtains the laser reflection signal spectrum and real-time tunnel video data of each cross tunnel construction target implementation process, establishes tunnel construction skeleton model and real-time tunnel construction skeleton model according to the laser reflection signal spectrum and real-time tunnel video data, compares tunnel construction skeleton model and real-time tunnel construction skeleton model, corrects actual construction result according to comparison result, and covers construction scene simulation model when real-time tunnel construction simulation model, obtains final tunnel structure simulation model when all cross tunnel construction targets are executed.

Description

Technical Field

[0001] This invention relates to the field of digital twin technology, specifically to a simulation and analysis system for cross-tunnel structures based on multi-source heterogeneous information. Background Technology

[0002] In the construction of intersecting tunnels, real-time monitoring and control are crucial for improving project quality and construction safety. Traditional supervision of intersecting tunnel construction often relies on static data and periodic inspections, which have certain limitations. With the development of information technology, real-time simulation models have gradually become an effective solution. By generating real-time simulation models, comprehensive monitoring and control of the tunnel construction process can be achieved.

[0003] Existing real-time simulation model technologies generally lack adaptability to complex geological environments, resulting in an inability to fully reflect the actual situation. At the same time, sensor data may contain errors or malfunctions, affecting the accuracy of the model.

[0004] Therefore, how to improve the simulation model's ability to reflect the actual results of the cross tunnels while ensuring the accuracy of the simulation model construction results is a challenge of existing technologies. To address this, a cross tunnel structure simulation analysis system based on multi-source heterogeneous information is provided. Summary of the Invention

[0005] To address the aforementioned technical problems, the present invention aims to provide a simulation and analysis system for cross-tunnel structures based on multi-source heterogeneous information.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] A simulation and analysis system for cross-tunnel structures based on multi-source heterogeneous information includes a cloud computing platform, which is communicatively connected to a tunnel construction scenario analysis module, a tunnel construction data acquisition module, and a tunnel structure simulation module.

[0008] The tunnel construction scenario analysis module is used to acquire the radar pulse reflection signal spectrum of the tunnel construction scenario through UAV, establish a construction scenario simulation model based on the radar pulse reflection signal spectrum, and then divide the construction scenario simulation model into several sections of cross tunnel construction result models based on the pre-stored tunnel construction plan, and generate cross tunnel construction targets based on each section of cross tunnel construction result model.

[0009] The tunnel construction data acquisition module is used to acquire the laser reflection signal spectrum and real-time tunnel video data during the implementation process of the construction targets of each intersecting tunnel.

[0010] The tunnel structure simulation module is used to establish a corresponding real-time tunnel construction simulation model based on the laser reflection signal spectrum and real-time tunnel video data. It also establishes a tunnel construction skeleton model and a real-time tunnel construction skeleton model based on the construction scene simulation model and the real-time tunnel construction simulation model. The tunnel construction skeleton model and the real-time tunnel construction skeleton model are compared, and the actual construction results are corrected based on the comparison results. The real-time tunnel construction simulation model is then overlaid on the construction scene simulation model. When all the cross-tunnel construction objectives are completed, the final tunnel structure simulation model is obtained.

[0011] Furthermore, the process of acquiring the radar pulse reflection signal spectrum of a tunnel construction scene using drones includes:

[0012] The drones are equipped with GPS positioning devices and radar pulse signal devices. All drones are divided into four groups, and scene inspection paths are set for each group. Each group of drones then flies along the corresponding scene inspection path within the tunnel construction scene. During the flight, the drones obtain their real-time geographical location through the GPS positioning device and transmit radar pulse signals vertically downwards into the tunnel construction scene through the radar pulse signal device. Each drone then synchronously sends its real-time geographical location and radar pulse reflection signal spectrum to the tunnel construction scene analysis module.

[0013] Furthermore, the process of establishing a construction scenario simulation model based on the radar pulse reflection signal spectrum includes:

[0014] Based on the radar pulse reflection signal spectrum of each group of UAVs, a corresponding construction scene simulation model is generated, and several geological components are marked in the construction scene simulation model;

[0015] Establish a three-dimensional coordinate system, and map the construction scene simulation models generated by the same group of UAVs along the scene inspection path onto the same three-dimensional coordinate system. Overlap the geological components with the same annotation in each construction scene simulation model.

[0016] The overlapping and intersecting parts are segmented from the overlapping mapping results of geological components with the same labeling, and the geological superposition curves are extracted from the superposition edge positions of the overlapping and intersecting parts. The geological superposition curves are connected and fused to obtain the geological common overlapping parts.

[0017] The overlapping mapping results of the geological common overlapping parts and the geological components after the intersection and entry parts are separated are spliced ​​together to obtain the local geological composition calibration part. At the same time, following the process of generating the local geological composition calibration part, the construction scene simulation models generated by different groups of UAVs are compared a second time to obtain the geological composition calibration part. According to the distribution position of each geological composition calibration part in the construction scene simulation model, the various geological composition calibration parts are spliced ​​together in sequence to obtain the tunnel construction scene benchmark simulation model.

[0018] Furthermore, the process of establishing the construction target for the intersecting tunnel includes:

[0019] The tunnel construction plan includes the geographical location information of the tunnel construction scene and the expected construction result map. Based on the expected construction result map, several sections of the intersecting tunnel construction result model are divided into the tunnel construction scene benchmark simulation model, and the corresponding construction length, tunnel height and construction steps are marked for each section of the intersecting tunnel construction result model.

[0020] The construction steps include the structural excavation stage, the structural support stage, the structural lining stage, and the tunnel inspection stage.

[0021] Then, the tunnel construction scenario analysis module segments all the cross tunnel construction result models from the tunnel construction scenario benchmark simulation model, and integrates the construction length, tunnel height and construction steps of the cross tunnel construction result models to obtain the cross tunnel construction target.

[0022] Furthermore, the process of acquiring the laser reflection signal spectrum and real-time tunnel video data during the construction of the cross-tunnel includes:

[0023] The tunnel construction data acquisition module locates the corresponding initial and final construction positions on the benchmark simulation model of the tunnel construction scenario based on the construction targets of the intersecting tunnels, and sends the construction targets of the intersecting tunnels to the construction team.

[0024] During the construction of the various intersecting tunnels in the structural excavation phase, each construction team simultaneously starts tunnel excavation from the initial construction position using a tunnel boring machine. The tunnel boring machine is equipped with a GPS positioning device, a surround-view camera, and a laser signal device.

[0025] During the tunnel excavation process of each tunnel boring machine, the tunnel construction data acquisition module obtains the location of each tunnel boring machine through GPS positioning, and collects real-time tunnel video data around the tunnel boring machine through the surround view camera. At the same time, the laser signal device emits laser signals in all directions and obtains the corresponding laser reflection signal spectrum.

[0026] During the construction of various intersecting tunnels in the structural support stage, structural lining stage, and tunnel inspection stage, multiple sets of fixed-position laser signal sensors and cameras are installed at the junctions of each intersecting tunnel. Each laser signal sensor and camera then collects the laser reflection signal spectrum and real-time tunnel video data within its acquisition range.

[0027] Furthermore, the process of establishing the tunnel construction skeleton model and the real-time tunnel construction skeleton model includes:

[0028] Based on the laser reflection signal spectrum and real-time tunnel video data, structural three-dimensional image models and appearance three-dimensional image models of the construction targets of each intersecting tunnel under different construction steps are established sequentially.

[0029] The structural 3D image model and the appearance 3D image model are superimposed along the edge position to obtain the real-time tunnel construction simulation model of the corresponding cross tunnel construction target under different construction steps.

[0030] Based on the connection points of the construction result models of each intersecting tunnel, several tunnel connection surfaces are marked in the benchmark simulation model of the tunnel construction scene. Each tunnel connection surface is composed of multiple two-dimensional planar tunnels, and the number of two-dimensional planar tunnels is the same as the number of intersecting tunnel construction result models associated with the tunnel connection surface.

[0031] The corresponding tunnel skeleton model is extracted from the edge position of the construction result model of each intersecting tunnel, and the tunnel skeleton models are connected through the tunnel connection surface. The corresponding real-time tunnel construction skeleton model is also extracted from each real-time tunnel construction simulation model.

[0032] Furthermore, the process of comparing the tunnel construction skeleton model and the real-time tunnel construction skeleton model includes:

[0033] Set a unit construction monitoring time period. For the real-time tunnel construction simulation model generated during the structural excavation stage, overlap and map the real-time tunnel construction skeleton model generated within the latest unit construction monitoring time period with the tunnel skeleton model. Based on the comparison results, mark the parts that are different from the tunnel skeleton model in the real-time tunnel construction skeleton model, and then correct the actual construction results based on the differences.

[0034] For the real-time tunnel construction simulation model generated during the structural support stage, structural lining stage, and tunnel inspection stage, based on the comparison results between the real-time tunnel construction skeleton model and the tunnel skeleton model, several cracked parts of the tunnel cofferdam are marked on the real-time tunnel construction skeleton model, and then the actual construction results are corrected based on the cracked parts of the tunnel cofferdam.

[0035] Furthermore, once the real-time tunnel construction skeleton model within a unit construction monitoring time period is deemed successful, the real-time tunnel construction simulation model generated within the corresponding unit construction monitoring time period will cover the corresponding part of the construction scenario simulation model. After all the cross-tunnel construction objectives are completed, the final tunnel structure simulation model will be obtained.

[0036] Compared with the prior art, the beneficial effects of the present invention are:

[0037] This invention establishes a construction scenario simulation model based on the radar pulse reflection signal spectrum, and establishes several intersecting tunnel construction targets based on the construction scenario simulation model. It acquires the laser reflection signal spectrum and real-time tunnel video data during the implementation process of each intersecting tunnel construction target. Based on the laser reflection signal spectrum and real-time tunnel video data, it establishes a tunnel construction skeleton model and a real-time tunnel construction skeleton model. The tunnel construction skeleton model and the real-time tunnel construction skeleton model are compared, and the actual construction results are corrected based on the comparison results. The real-time tunnel construction simulation model is then overlaid on the construction scenario simulation model. After all intersecting tunnel construction targets are completed, the final tunnel structure simulation model is obtained. This invention ensures the accuracy of the simulation model construction results while improving the simulation model's ability to reflect the actual results of the intersections. Attached Figure Description

[0038] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention.

[0039] Figure 1 This is a schematic diagram of the present invention. Detailed Implementation

[0040] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be described in detail below. Obviously, the described embodiments are merely some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other implementation methods obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0041] like Figure 1 As shown, the cross-tunnel structure simulation and analysis system based on multi-source heterogeneous information includes a cloud computing platform, which is communicatively connected to a tunnel construction scenario analysis module, a tunnel construction data acquisition module, and a tunnel structure simulation module.

[0042] The tunnel construction scenario analysis module is used to acquire the radar pulse reflection signal spectrum of the tunnel construction scenario through UAV, establish a construction scenario simulation model based on the radar pulse reflection signal spectrum, and then divide the construction scenario simulation model into several sections of cross tunnel construction result models based on the pre-stored tunnel construction plan, and generate cross tunnel construction targets based on each section of cross tunnel construction result model.

[0043] The tunnel construction data acquisition module is used to acquire the laser reflection signal spectrum and real-time tunnel video data during the implementation process of the construction targets of each intersecting tunnel.

[0044] The tunnel structure simulation module is used to establish a corresponding real-time tunnel construction simulation model based on the laser reflection signal spectrum and real-time tunnel video data. It also establishes a tunnel construction skeleton model and a real-time tunnel construction skeleton model based on the construction scene simulation model and the real-time tunnel construction simulation model. The tunnel construction skeleton model and the real-time tunnel construction skeleton model are compared, and the actual construction results are corrected based on the comparison results. The real-time tunnel construction simulation model is then overlaid on the construction scene simulation model. When all the cross-tunnel construction objectives are completed, the final tunnel structure simulation model is obtained.

[0045] Furthermore, the working principle of the present invention will be illustrated below through embodiments:

[0046] Staff members upload the tunnel construction plan to the tunnel construction scene analysis module. The tunnel construction plan includes the geographical location information of the tunnel construction scene and the expected construction result map.

[0047] Then, based on the tunnel construction plan, n drones are set up in the tunnel construction scene. The drones are equipped with GPS positioning devices and radar pulse signal devices, where n is a positive even number greater than 0.

[0048] The tunnel construction scenario analysis module divides all drones into four groups and selects four locations from the edge of the tunnel construction scenario as the inspection start positions. Based on the distance between the inspection start positions of each group, the inspection start positions of the two groups of drones with the farthest inspection start positions are taken as the inspection end positions of each other.

[0049] Then, based on the inspection start and end points of each group of drones, scene inspection paths are set for each group of drones. At the same time, the expected maximum construction depth of the tunnel is obtained based on the expected construction result map in the tunnel construction plan. Then, based on the expected maximum construction depth of the tunnel, the radar pulse signal device of the drone is set to a fixed radar pulse signal strength, so that the radar pulse signal can penetrate the tunnel construction scene to reach the expected maximum construction depth of the tunnel.

[0050] It should be noted that the drones can traverse the entire tunnel construction scene along the scene inspection path within a fixed data collection range, and the flight altitude of each group of drones is different.

[0051] Then, each group of drones flew along the corresponding scene inspection path within the tunnel construction scene. During the flight, the drones obtained their real-time geographical location through GPS positioning devices and transmitted radar pulse signals vertically downwards into the tunnel construction scene through radar pulse signal devices.

[0052] During the process of radar pulse signals passing vertically through the tunnel construction scene, due to the different geological composition at different depths of the tunnel construction scene, the radar pulse reflection signals generated by the radar pulse signals at different depths of the tunnel construction scene are also different. As a result, each UAV will synchronously send its real-time geographical location and radar pulse reflection signal spectrum to the tunnel construction scene analysis module.

[0053] The tunnel construction scenario analysis module generates corresponding construction scenario simulation models based on the radar pulse reflection signal spectrum of each group of UAVs. Since different geological conditions reflect the pulse radar signal to different degrees, the radar pulse reflection signal spectrum presents different signal segments, and thus several geological components are marked in the construction scenario simulation model.

[0054] Establish a three-dimensional coordinate system, and map the construction scene simulation models generated by the same group of UAVs along the scene inspection path onto the same three-dimensional coordinate system. Overlap the geological components with the same annotation in each construction scene simulation model.

[0055] Since each construction scenario simulation model is generated by different UAVs flying along the same scene inspection path and corresponding data collected by radar pulse signal devices, the overall trend of each construction scenario simulation model is the same. However, due to environmental and other factors affecting the flight process of UAVs, there will be errors in the spectrum of radar pulse reflection signals generated by different UAVs. This will cause differences in the geological components corresponding to the same geological conditions in the construction scenario simulation models of the same group of UAVs. There will be overlapping and intersecting parts at the edge positions of the geological components represented by the geological components from the construction scenario simulation models.

[0056] Then, the overlapping and entering parts are segmented from the overlapping mapping results of the geological components with the same label, and the geological superposition curves are extracted from the superposition edge positions of the overlapping and entering parts. The geological superposition curves are connected and fused to obtain the geological common overlapping parts.

[0057] The overlapping mapping results of the geological common overlapping part and the geological components after the intersection and entry parts are separated are spliced ​​together to obtain the local geological composition calibration part. At the same time, according to the process of generating the local geological composition calibration part, the construction scene simulation models generated by different groups of UAVs are compared a second time to obtain the geological composition calibration part.

[0058] Based on the above process of obtaining the geological composition calibration parts, the tunnel construction scenario analysis module then obtains the geological composition calibration parts of various geological elements within the tunnel construction scenario. According to the distribution position of each geological composition calibration part in the construction scenario simulation model, the geological composition calibration parts are sequentially spliced ​​together to obtain the tunnel construction scenario benchmark simulation model.

[0059] Furthermore, based on the expected construction result diagram, the tunnel construction scenario analysis module divides the tunnel construction scenario benchmark simulation model into several sections of intersecting tunnel construction result models, and marks the corresponding construction length, tunnel height and construction steps for each section of intersecting tunnel construction result model.

[0060] The construction steps include the structural excavation stage, the structural support stage, the structural lining stage, and the tunnel inspection stage.

[0061] Then, the tunnel construction scenario analysis module segments all the construction result models of intersecting tunnels from the benchmark simulation model of the tunnel construction scenario, and integrates the construction length, tunnel height, and construction steps of the intersecting tunnel construction result models to obtain the construction targets of the intersecting tunnels. Then, it assigns numbers s1, s2, s3, ..., s to each construction target of the intersecting tunnels. m Subsequently, the tunnel construction scenario analysis module sends all intersecting tunnel construction targets and the tunnel construction scenario benchmark simulation model to the tunnel construction data acquisition module, where m is a natural number greater than 0.

[0062] Furthermore, the tunnel construction data acquisition module locates the corresponding initial construction position and final construction position on the benchmark simulation model of the tunnel construction scenario based on the construction target of the intersecting tunnels, and sends the construction target of the intersecting tunnels to the construction team.

[0063] During the construction of the various intersecting tunnels in the structural excavation phase, each construction team simultaneously starts tunnel excavation from the initial construction position using a tunnel boring machine. The tunnel boring machine is equipped with a GPS positioning device, a surround-view camera, and a laser signal device.

[0064] During the tunnel excavation process of each tunnel boring machine, the tunnel construction data acquisition module obtains the location of each tunnel boring machine through GPS positioning and collects real-time tunnel video data around the tunnel boring machine through the surround view camera. At the same time, the laser signal device emits laser signals in all directions and obtains the corresponding laser reflection signal spectrum. It should be noted that the laser signal device collects the laser signal emitted during the tunnel excavation process and the laser signal emitted to other laser signals has a different spectrum.

[0065] During the construction of various intersecting tunnels in the structural support stage, structural lining stage, and tunnel inspection stage, multiple sets of fixed-position laser signal sensors and cameras are installed at the junctions of each intersecting tunnel. Each laser signal sensor and camera then collects the laser reflection signal spectrum and real-time tunnel video data within its acquisition range.

[0066] Furthermore, after the tunnel construction data acquisition module labels the corresponding cross-tunnel construction target number and construction step name for each laser reflection signal spectrum and real-time tunnel video data, it synchronously sends all laser reflection signal spectra and real-time tunnel video data to the tunnel structure simulation module.

[0067] Then, the tunnel structure simulation module sequentially establishes the structural three-dimensional image model and the appearance three-dimensional image model of each intersecting tunnel construction target under different construction steps based on the laser reflection signal spectrum and real-time tunnel video data.

[0068] Since the laser signal spectrum and the laser signal sensor and camera corresponding to the real-time tunnel video data are located in the same position, the structural 3D image model and the appearance 3D image model generated by the data collected by the two have the same parts.

[0069] Therefore, the structural 3D image model and the appearance 3D image model are superimposed along the edge position to obtain the real-time tunnel construction simulation model of the corresponding cross tunnel construction target under different construction steps;

[0070] For the real-time tunnel construction simulation model generated during the structural excavation stage, the tunnel construction data acquisition module first marks several tunnel connection surfaces in the benchmark simulation model of the tunnel construction scene based on the connection points of the construction result models of each section of the intersecting tunnel.

[0071] The tunnel connection surface is composed of multiple two-dimensional planar tunnels, wherein the number of two-dimensional planar tunnels is the same as the number of construction result models of the intersecting tunnels associated with the tunnel connection surface;

[0072] At the same time, the corresponding tunnel skeleton model is extracted from the edge position of the construction result model of each section of the intersecting tunnel, and the tunnel skeleton models are connected through the tunnel connection surface.

[0073] The process of acquiring the tunnel skeleton model is adopted to extract the corresponding real-time tunnel construction skeleton model from each real-time tunnel construction simulation model, and set the unit construction monitoring time period and overlap threshold.

[0074] The real-time tunnel construction skeleton model generated within the latest unit construction monitoring time period is overlaid and mapped with the tunnel skeleton model. If the overlap rate between the two is greater than or equal to the overlap threshold, it is determined that the tunnel construction is normal within the corresponding unit construction monitoring time period.

[0075] Otherwise, the tunnel construction is judged to be abnormal, and the parts that are different from the tunnel skeleton model are marked from the real-time tunnel construction skeleton model. Then, a construction adjustment decision is generated based on the different parts and sent to the staff. After the construction adjustment decision is executed, the tunnel structure simulation module re-evaluates the overlap rate between the real-time tunnel construction skeleton model and the tunnel skeleton model until the overlap rate between the two is greater than or equal to the overlap threshold.

[0076] For the real-time tunnel construction simulation model generated during the structural support stage, structural lining stage, and tunnel inspection stage, the real-time tunnel construction skeleton model generated within the latest unit construction monitoring time period is overlaid and mapped with the tunnel skeleton model. Based on the overlay mapping result, several tunnel cofferdam cracked parts are marked on the real-time tunnel construction skeleton model. Then, construction adjustment decisions are generated based on the tunnel cofferdam cracked parts and sent to the staff. After the construction adjustment decision is executed, the tunnel structure simulation module re-determines whether there are tunnel cofferdam cracked parts on the real-time tunnel construction skeleton model relative to the tunnel skeleton model, until there are no tunnel cofferdam cracked parts on the real-time tunnel construction skeleton model.

[0077] Once the real-time tunnel construction skeleton model for a given unit's construction monitoring period is deemed successful, the corresponding part of the construction scenario simulation model is overlaid with the real-time tunnel construction simulation model generated for that unit's construction monitoring period. After all the cross-tunnel construction objectives are completed, the final tunnel structure simulation model is obtained.

[0078] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A simulation and analysis system for cross-tunnel structures based on multi-source heterogeneous information, including a cloud computing platform, characterized in that: The cloud computing platform has a communication connection to a tunnel construction scenario analysis module, a tunnel construction data acquisition module, and a tunnel structure simulation module. The tunnel construction scenario analysis module is used to acquire the radar pulse reflection signal spectrum of the tunnel construction scenario through UAV, establish a construction scenario simulation model based on the radar pulse reflection signal spectrum, and then divide the construction scenario simulation model into several sections of cross tunnel construction result models based on the pre-stored tunnel construction plan, and generate cross tunnel construction targets based on each section of cross tunnel construction result model. The tunnel construction data acquisition module is used to acquire the laser reflection signal spectrum and real-time tunnel video data during the implementation process of the construction targets of each intersecting tunnel. The tunnel structure simulation module is used to establish a corresponding real-time tunnel construction simulation model based on the laser reflection signal spectrum and real-time tunnel video data. It also establishes a tunnel construction skeleton model and a real-time tunnel construction skeleton model based on the construction scene simulation model and the real-time tunnel construction simulation model. The tunnel construction skeleton model and the real-time tunnel construction skeleton model are compared, and the actual construction results are corrected based on the comparison results. The real-time tunnel construction simulation model is then overlaid on the construction scene simulation model. When all the cross-tunnel construction targets are completed, the final tunnel structure simulation model is obtained. The process of establishing a construction scenario simulation model based on the radar pulse reflection signal spectrum includes: Based on the radar pulse reflection signal spectrum of each group of UAVs, a corresponding construction scene simulation model is generated, and several geological components are marked in the construction scene simulation model; Establish a three-dimensional coordinate system, map the construction scene simulation models generated by the same group of UAVs along the scene inspection path onto the same three-dimensional coordinate system, and overlap and map the geological components with the same annotation in each construction scene simulation model. The overlapping and intersecting parts are segmented from the overlapping mapping results of geological components with the same labeling, and the geological superposition curves are extracted from the superposition edge positions of the overlapping and intersecting parts. The geological superposition curves are connected and fused to obtain the geological common overlapping parts. The overlapping mapping results of the geological common overlapping part and the geological components after the intersection and entry part are separated are spliced ​​together to obtain the local geological composition calibration part. Then, the construction scene simulation models generated by different groups of UAVs are compared a second time to obtain the geological composition calibration part. The various geological composition calibration parts are spliced ​​together in sequence to obtain the tunnel construction scene benchmark simulation model. The process of establishing the construction objectives for the cross tunnel includes: The tunnel construction plan includes the geographical location information of the tunnel construction scene and the expected construction result map. Based on the expected construction result map, several sections of the cross tunnel construction result model are divided into the tunnel construction scene benchmark simulation model. The corresponding construction length, tunnel height and construction steps are marked on each section of the cross tunnel construction result model. The construction length, tunnel height and construction steps of the cross tunnel construction result model are integrated to obtain the cross tunnel construction target. The construction steps include the structural excavation stage, the structural support stage, the structural lining stage, and the tunnel inspection stage. The process of acquiring the laser reflection signal spectrum and real-time tunnel video data during the construction of the cross tunnel includes: The tunnel construction data acquisition module locates the corresponding initial and final construction positions on the benchmark simulation model of the tunnel construction scenario based on the construction objectives of the intersecting tunnels. During the construction of the various intersecting tunnels in the structural excavation phase, tunnel excavation is carried out simultaneously from the initial construction position using a tunnel boring machine, which is equipped with a surround-view camera and a laser signal device. During the tunnel excavation process of each tunnel boring machine, real-time tunnel video data around the tunnel boring machine is collected in real time through surround-view cameras. At the same time, the laser signal device emits laser signals in all directions and obtains the corresponding laser reflection signal spectrum. During the construction of various intersecting tunnels in the structural support stage, structural lining stage, and tunnel inspection stage, multiple sets of fixed-position laser signal sensors and cameras are installed at the junctions of various intersecting tunnels. Each laser signal sensor and camera then collects the laser reflection signal spectrum and real-time tunnel video data within its collection range. The process of establishing the tunnel construction skeleton model and the real-time tunnel construction skeleton model includes: Based on the laser reflection signal spectrum and real-time tunnel video data, structural three-dimensional image models and appearance three-dimensional image models of the construction targets of each intersecting tunnel under different construction steps are established sequentially. The structural 3D image model and the appearance 3D image model are superimposed along the edge position to obtain the real-time tunnel construction simulation model of the corresponding cross tunnel construction target under different construction steps. Then, the corresponding tunnel skeleton model is extracted from the edge position of the construction result model of each section of the intersecting tunnel, and the corresponding real-time tunnel construction skeleton model is extracted from each real-time tunnel construction simulation model.

2. The cross-tunnel structure simulation and analysis system based on multi-source heterogeneous information according to claim 1, characterized in that, The process of acquiring the radar pulse reflection signal spectrum of a tunnel construction scene using drones includes: The drones are equipped with GPS positioning devices and radar pulse signal devices. All drones are divided into four groups, and scene inspection paths are set for each group. Then, each group of drones flies along the corresponding scene inspection path within the tunnel construction scene. During the flight, the drones obtain their real-time geographical location through the GPS positioning device and transmit radar pulse signals vertically downwards into the tunnel construction scene through the radar pulse signal device.

3. The cross-tunnel structure simulation and analysis system based on multi-source heterogeneous information according to claim 2, characterized in that, The process of comparing the tunnel construction skeleton model and the real-time tunnel construction skeleton model includes: Set a unit construction monitoring time period. For the real-time tunnel construction simulation model generated during the structural excavation stage, overlap and map the real-time tunnel construction skeleton model generated within the latest unit construction monitoring time period with the tunnel skeleton model. Based on the comparison results, mark the parts that are different from the tunnel skeleton model in the real-time tunnel construction skeleton model, and then correct the actual construction results based on the differences. For the real-time tunnel construction simulation model generated during the structural support stage, structural lining stage, and tunnel inspection stage, based on the comparison results between the real-time tunnel construction skeleton model and the tunnel skeleton model, several cracked parts of the tunnel cofferdam are marked on the real-time tunnel construction skeleton model, and then the actual construction results are corrected based on the cracked parts of the tunnel cofferdam.

4. The simulation and analysis system for cross-tunnel structures based on multi-source heterogeneous information according to claim 3, characterized in that, Once the real-time tunnel construction skeleton model for a given unit's construction monitoring period is deemed successful, the corresponding part of the construction scenario simulation model is overlaid with the real-time tunnel construction simulation model generated for that unit's construction monitoring period. After all the cross-tunnel construction objectives are completed, the final tunnel structure simulation model is obtained.

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