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

Abstract

The invention discloses a cross tunnel structure simulation analysis system based on multi-source heterogeneous information, relates to the technical field of digital twinning, and effectively improves the actual reflection effect of a simulation model on a cross result. A construction scene simulation model is established according to a radar pulse reflection signal frequency spectrum, a plurality of cross tunnel construction targets are established according to the construction scene simulation model, and a laser reflection signal frequency spectrum and real-time tunnel video data in the implementation process of each cross tunnel construction target are obtained; and establishing a tunnel construction skeleton model and a real-time tunnel construction skeleton model according to the laser reflection signal frequency spectrum and the real-time tunnel video data, comparing the tunnel construction skeleton model with the real-time tunnel construction skeleton model, and correcting an actual construction result according to a comparison result. And the real-time tunnel construction simulation model covers the construction scene simulation model, and a final tunnel structure simulation model is obtained after execution of all the cross tunnel construction targets is completed.

Description

Technical Field

[0001] The present invention relates to the technical field of digital twins, and in particular to a cross-tunnel structure simulation and analysis system based on multi-source heterogeneous information. Background Art

[0002] In the process of cross tunnel construction, real-time monitoring and control become particularly important in order to improve the quality of the project and construction safety. Traditional cross tunnel construction supervision often relies on static data and regular inspections, which has 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 the inability to fully reflect the actual situation. At the same time, sensor data may contain errors or faults, affecting the accuracy of the model.

[0004] Therefore, how to ensure the accuracy of the simulation model construction results while improving the actual reflection effect of the simulation model on the cross results is a difficulty in the prior art. To this end, a cross tunnel structure simulation analysis system based on multi-source heterogeneous information is provided. Summary of the invention

[0005] In order to solve the above technical problems, the purpose of the present invention is to provide a cross tunnel structure simulation and analysis system based on multi-source heterogeneous information.

[0006] In order to achieve the above object, the present invention provides the following technical solutions:

[0007] The cross tunnel structure simulation and analysis system based on multi-source heterogeneous information includes a cloud computing platform, wherein the cloud computing platform is communicatively connected with a tunnel construction scene analysis module, a tunnel construction data acquisition module and a tunnel structure simulation module;

[0008] The tunnel construction scene analysis module is used to obtain the radar pulse reflection signal spectrum of the tunnel construction scene through the drone, establish a construction scene simulation model according to the radar pulse reflection signal spectrum, and then divide a number of cross-tunnel construction result models in the construction scene simulation model according to the pre-stored tunnel construction plan, and generate cross-tunnel construction targets according to the cross-tunnel construction result models of each section;

[0009] The tunnel construction data acquisition module is used to obtain the laser reflection signal spectrum and real-time tunnel video data of the implementation process of each cross tunnel construction target;

[0010] The tunnel structure simulation module is used to establish a corresponding real-time tunnel construction simulation model according to the laser reflection signal spectrum and the real-time tunnel video data, and to establish a tunnel construction skeleton model and a real-time tunnel construction skeleton model according to the construction scene simulation model and the real-time tunnel construction simulation model, compare the tunnel construction skeleton model with the real-time tunnel construction skeleton model, correct the actual construction results according to the comparison results, and cover the construction scene simulation model with the real-time tunnel construction simulation model, and obtain the final tunnel structure simulation model when all cross-tunnel construction targets are executed.

[0011] Furthermore, the process of obtaining the radar pulse reflection signal spectrum of the tunnel construction scene by using the drone includes:

[0012] The drone is provided with a GPS positioning device and a radar pulse signal device. All the drones are divided into four groups. A scene inspection path is set for each group of drones. Then each group of drones flies along the corresponding scene inspection path in the tunnel construction scene. During the flight, the drone obtains the real-time geographic location of its current location through the GPS positioning device, and transmits a radar pulse signal vertically downward to the tunnel construction scene through the radar pulse signal device. Then each drone synchronously sends the real-time geographic location and the radar pulse reflection signal spectrum to the tunnel construction scene analysis module.

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

[0014] Generate a corresponding construction scene simulation model based on the radar pulse reflection signal spectrum of each group of drones, and annotate several geological components 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 drones along the scene inspection path onto the same three-dimensional coordinate system, and overlap and map the geological components with the same annotations in each construction scene simulation model;

[0016] Segment the intersecting parts from the overlapping mapping results of the geological components with the same annotation, extract the geological superposition curve from the superposition edge position of the intersecting parts, and connect and merge the various geological superposition curves to obtain the geological common overlapping part;

[0017] The geological common overlapping part is spliced ​​with the overlapping mapping results of the geological components after the intersection and exit parts are separated 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 drones are compared for the 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, each geological composition calibration part is spliced ​​in turn to obtain the tunnel construction scene benchmark simulation model.

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

[0019] The tunnel construction plan includes geographical location information of the tunnel construction scene and an estimated construction result map. According to the estimated construction result map, a number of cross-section tunnel construction result models are divided in the tunnel construction scene benchmark simulation model, and the corresponding construction length, tunnel height and construction steps are marked on each cross-section tunnel construction result model;

[0020] The construction steps include a structural excavation stage, a structural support stage, a structural lining stage and a 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 collecting the laser reflection signal spectrum and real-time tunnel video data during the implementation of the cross tunnel construction target includes:

[0023] The tunnel construction data acquisition module locates the corresponding initial construction position and terminal construction position on the tunnel construction scene benchmark simulation model according to the cross-tunnel construction target, and sends the cross-tunnel construction target to the construction team;

[0024] In the process of executing the construction objectives of each cross tunnel in the structural excavation stage, each construction team simultaneously starts tunnel excavation from the initial construction position using a tunnel boring machine 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 camera. At the same time, the laser signal device emits laser signals to the surroundings and obtains the corresponding laser reflection signal spectrum;

[0026] During the construction of each cross-tunnel in the structural support stage, structural lining stage and tunnel inspection stage, multiple sets of laser signal sensors and cameras with fixed positions are installed at the junction of each cross-tunnel, and each laser signal sensor and camera collects the laser reflection signal spectrum and real-time tunnel video data within its collection range.

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

[0028] According to the laser reflection signal spectrum and the real-time tunnel video data, the structural 3D image model and the appearance 3D image model of each cross tunnel construction target at different construction steps are sequentially established;

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

[0030] According to the connection of each section of the cross tunnel construction result model, a number of tunnel connection surfaces are marked in the tunnel construction scene benchmark simulation model, wherein the tunnel connection surface is composed of a plurality of two-dimensional plane tunnels, wherein the number of the two-dimensional plane tunnels is the same as the number of the cross tunnel construction result models associated with the tunnel connection surface;

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

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

[0033] A unit construction monitoring time period is set. For the real-time tunnel construction simulation model generated during the structural excavation stage, the real-time tunnel construction skeleton model generated within the latest unit construction monitoring time period is overlapped and mapped with the tunnel skeleton model. The parts that are different from the tunnel skeleton model are marked on the real-time tunnel construction skeleton model according to the comparison results, and then the actual construction results are corrected according to the different parts.

[0034] For the real-time tunnel construction simulation model generated during the structural support stage, structural lining stage and tunnel inspection stage, according to 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 according to the cracked parts of the tunnel cofferdam.

[0035] Furthermore, whenever the real-time tunnel construction skeleton model within a unit construction monitoring time period is judged to be passed, the real-time tunnel construction simulation model generated in the corresponding unit construction monitoring time period will cover the corresponding part in the construction scene simulation model, and after the execution of all cross-tunnel construction targets is completed, the final tunnel structure simulation model will be obtained.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] The present invention establishes a construction scene simulation model according to the radar pulse reflection signal spectrum, and establishes a plurality of cross-tunnel construction targets according to the construction scene simulation model, obtains the laser reflection signal spectrum and real-time tunnel video data of the implementation process of each cross-tunnel construction target, establishes a tunnel construction skeleton model and a real-time tunnel construction skeleton model according to the laser reflection signal spectrum and the real-time tunnel video data, compares the tunnel construction skeleton model with the real-time tunnel construction skeleton model, corrects the actual construction result according to the comparison result, and covers the construction scene simulation model with the real-time tunnel construction simulation model, and obtains the final tunnel structure simulation model after all the cross-tunnel construction targets are executed, thereby ensuring the accuracy of the simulation model construction result while improving the actual reflection effect of the simulation model on the cross result. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention.

[0039] Figure 1 It is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0040] To make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other implementation methods obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

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

[0042] The tunnel construction scene analysis module is used to obtain the radar pulse reflection signal spectrum of the tunnel construction scene through the drone, establish a construction scene simulation model according to the radar pulse reflection signal spectrum, and then divide a number of cross-tunnel construction result models in the construction scene simulation model according to the pre-stored tunnel construction plan, and generate cross-tunnel construction targets according to the cross-tunnel construction result models of each section;

[0043] The tunnel construction data acquisition module is used to obtain the laser reflection signal spectrum and real-time tunnel video data of the implementation process of each cross tunnel construction target;

[0044] The tunnel structure simulation module is used to establish a corresponding real-time tunnel construction simulation model according to the laser reflection signal spectrum and the real-time tunnel video data, and to establish a tunnel construction skeleton model and a real-time tunnel construction skeleton model according to the construction scene simulation model and the real-time tunnel construction simulation model, compare the tunnel construction skeleton model with the real-time tunnel construction skeleton model, correct the actual construction results according to the comparison results, and cover the construction scene simulation model with the real-time tunnel construction simulation model, and obtain the final tunnel structure simulation model when all cross-tunnel construction targets are executed.

[0045] Further, the working principle of the present invention is described below by way of examples:

[0046] The staff uploads the tunnel construction plan to the tunnel construction scene analysis module, where the tunnel construction plan includes the geographical location information of the tunnel construction scene and the expected construction result map;

[0047] Then, n drones are arranged in the tunnel construction scene according to the tunnel construction plan, wherein the drones are provided with a GPS positioning device and a radar pulse signal device, wherein n is a positive even number greater than 0;

[0048] The tunnel construction scene analysis module divides all drones into four groups, and selects four positions from the edge of the tunnel construction scene as the inspection starting positions. Based on the distance between the inspection starting positions of each group, the inspection starting position relative to the inspection starting positions of the two groups of drones farthest away is used as the inspection end position of the other party.

[0049] Then, according to the inspection starting position and inspection end position of each group of drones, a scene inspection path is set for each group of drones, and the estimated maximum depth of the tunnel construction is obtained according to the estimated construction result diagram in the tunnel construction plan. Then, according to the estimated maximum depth of the tunnel construction, a fixed radar pulse signal strength is set for the radar pulse signal device of the drone, so that the radar pulse signal can penetrate the tunnel construction scene to reach the estimated maximum depth of the tunnel construction;

[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 altitudes of each group of drones are different;

[0051] Then, each group of drones flies along the corresponding scene inspection path in the tunnel construction scene. During the flight, the drone obtains the real-time geographic location of its current location through the GPS positioning device, and transmits radar pulse signals vertically downward to the tunnel construction scene through the radar pulse signal device;

[0052] When the radar pulse signal passes vertically through the tunnel construction scene, due to the different geological structures at different depths of the tunnel construction scene, the radar pulse reflection signals generated when the radar pulse signal passes through different depths of the tunnel construction scene are also different. Then, each drone synchronously sends the real-time geographic location and the radar pulse reflection signal spectrum to the tunnel construction scene analysis module;

[0053] The tunnel construction scene analysis module generates a corresponding construction scene simulation model based on the radar pulse reflection signal spectrum of each group of drones. Since different geological features have different reflection degrees on pulse radar signals, the radar pulse reflection signal spectrum presents different signal segments, and thus several geological components are marked in the construction scene simulation model.

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

[0055] Since each construction scene simulation model is generated by different drones flying along the same scene inspection path and correspondingly through data collected by the radar pulse signal device, the simulation models of each construction scene show the same trend in general. However, since the drone flight process is affected by factors such as the environment, there will be errors in the spectrum of radar pulse reflection signals generated by different drones, resulting in differences in the geological components corresponding to the same geology in the construction scene simulation models of the same group of drones, which is characterized by the existence of cross-in and cross-out parts at the edge positions of the geological components from the construction scene simulation models;

[0056] Then, the intersecting parts are segmented from the overlapping mapping results of the geological components with the same annotations, and the geological superposition curves are extracted from the superposition edge positions of the intersecting parts, and the various geological superposition curves are connected and merged to obtain the geological common overlapping parts;

[0057] The geological common overlapping part and the overlapping mapping results of the geological components after the intersection and exit parts are segmented are spliced ​​to obtain the local geological component calibration part. At the same time, according to the process of generating the local geological component calibration part, the construction scene simulation models corresponding to different groups of drones are compared twice to obtain the geological component calibration part;

[0058] According to the above process of obtaining the geological composition calibration part, the tunnel construction scene analysis module obtains the geological composition calibration parts of various geological elements in the tunnel construction scene, and according to the distribution position of each geological composition calibration part in the construction scene simulation model, each geological composition calibration part is spliced ​​in sequence to obtain the tunnel construction scene benchmark simulation model.

[0059] Furthermore, the tunnel construction scenario analysis module divides a number of cross-tunnel construction result models in the tunnel construction scenario benchmark simulation model according to the expected construction result diagram, and marks the corresponding construction length, tunnel height and construction steps for each cross-tunnel construction result model;

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

[0061] Then, the tunnel construction scenario analysis module separates 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 model to obtain the cross-tunnel construction target, and then sets a number s for each cross-tunnel construction target 1 、s 2 、s 3 ,……,s m Afterwards, the tunnel construction scene analysis module sends all cross-tunnel construction targets and the tunnel construction scene benchmark simulation model to the tunnel construction data acquisition module, where m is a natural number greater than 0.

[0062] Further, the tunnel construction data acquisition module locates the corresponding initial construction position and terminal construction position on the tunnel construction scene benchmark simulation model according to the cross-tunnel construction target, and sends the cross-tunnel construction target to the construction team;

[0063] In the process of executing the construction objectives of each cross tunnel in the structural excavation stage, each construction team simultaneously starts tunnel excavation from the initial construction position using a tunnel boring machine 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 camera. At the same time, the laser signal device emits laser signals to the surroundings and obtains the corresponding laser reflection signal spectrum. It should be noted that the spectrum of the laser signal emitted by the laser signal device during the tunnel excavation process is different from that of the laser signal emitted to other laser signals;

[0065] During the construction of each cross-tunnel in the structural support stage, structural lining stage and tunnel inspection stage, multiple sets of laser signal sensors and cameras with fixed positions are installed at the junction of each cross-tunnel, and each laser signal sensor and camera collects the laser reflection signal spectrum and real-time tunnel video data within its collection range.

[0066] Furthermore, after the tunnel construction data acquisition module marks the corresponding cross-tunnel construction target number and construction step name for each laser reflection signal spectrum and real-time tunnel video data, the entire laser reflection signal spectrum and real-time tunnel video data are synchronously sent to the tunnel structure simulation module;

[0067] Then, the tunnel structure simulation module sequentially establishes the structural 3D image model and the appearance 3D image model of each cross tunnel construction target at different construction steps according to the laser reflection signal spectrum and the real-time tunnel video data;

[0068] Since the laser signal sensor and camera corresponding to the laser reflection signal spectrum and the real-time tunnel video data are located at the same position, the structural three-dimensional image model and the appearance three-dimensional image model generated by the collected data of the two have the same parts;

[0069] Therefore, the structural 3D image model and the appearance 3D image model are overlapped 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 tunnel construction scene benchmark simulation model according to the connection points of the cross-tunnel construction result models of each section;

[0071] The tunnel connection surface is composed of a plurality of two-dimensional plane tunnels, wherein the number of the two-dimensional plane tunnels is the same as the number of the cross tunnel construction result models 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 cross tunnel, and each tunnel skeleton model is connected through the tunnel connection surface;

[0073] By adopting the process of obtaining the tunnel skeleton model, the corresponding real-time tunnel construction skeleton model is extracted from each real-time tunnel construction simulation model, and the unit construction monitoring time period and the overlap threshold are set;

[0074] Overlapping and mapping the real-time tunnel construction skeleton model generated in the latest unit construction monitoring time period with the tunnel skeleton model, if the overlap rate between the two is greater than or equal to the overlap threshold, it is judged that the tunnel construction is normal in 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. When the construction adjustment decision is executed, the tunnel structure simulation module re-judges 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, the structural lining stage and the tunnel inspection stage, the real-time tunnel construction skeleton model generated in the latest unit construction monitoring time period is overlapped and mapped with the tunnel skeleton model, and several cracked parts of the tunnel cofferdam are marked on the real-time tunnel construction skeleton model according to the overlap mapping result, and then a construction adjustment decision is generated according to the cracked parts of the tunnel cofferdam and sent to the staff. When the construction adjustment decision is executed, the tunnel structure simulation module re-judges whether there is a cracked part of the tunnel cofferdam in the real-time tunnel construction skeleton model relative to the tunnel skeleton model, until there is no cracked part of the tunnel cofferdam on the real-time tunnel construction skeleton model;

[0077] Whenever the real-time tunnel construction skeleton model within a unit construction monitoring time period is judged to be passed, the real-time tunnel construction simulation model generated in the corresponding unit construction monitoring time period will cover the corresponding part in the construction scene simulation model, and after all the cross-tunnel construction targets are executed, the final tunnel structure simulation model will be obtained.

[0078] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A cross tunnel structure simulation and analysis system based on multi-source heterogeneous information, including a cloud computing platform, characterized in that: The cloud computing platform is communicatively connected to a tunnel construction scene analysis module, a tunnel construction data acquisition module, and a tunnel structure simulation module; The tunnel construction scene analysis module is used to obtain the radar pulse reflection signal spectrum of the tunnel construction scene through the drone, establish a construction scene simulation model according to the radar pulse reflection signal spectrum, and then divide a number of cross-tunnel construction result models in the construction scene simulation model according to the pre-stored tunnel construction plan, and generate cross-tunnel construction targets according to the cross-tunnel construction result models of each section; The tunnel construction data acquisition module is used to obtain the laser reflection signal spectrum and real-time tunnel video data of the implementation process of each cross tunnel construction target; The tunnel structure simulation module is used to establish a corresponding real-time tunnel construction simulation model according to the laser reflection signal spectrum and the real-time tunnel video data, and to establish a tunnel construction skeleton model and a real-time tunnel construction skeleton model according to the construction scene simulation model and the real-time tunnel construction simulation model, compare the tunnel construction skeleton model with the real-time tunnel construction skeleton model, correct the actual construction results according to the comparison results, and cover the construction scene simulation model with the real-time tunnel construction simulation model, and obtain the final tunnel structure simulation model when all cross-tunnel construction targets are executed.

2. The cross tunnel structure simulation and analysis system based on multi-source heterogeneous information according to claim 1 is characterized in that: The process of obtaining the radar pulse reflection signal spectrum of the tunnel construction scene through the drone includes: The drone is equipped with a GPS positioning device and a radar pulse signal device. All drones are divided into four groups, and a scene inspection path is set for each group of drones. Then each group of drones flies in the tunnel construction scene along the corresponding scene inspection path. During the flight, the drone obtains the real-time geographic location of its current location through the GPS positioning device, and transmits a radar pulse signal vertically downward to 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 is characterized in that: The process of establishing a construction scene simulation model based on the radar pulse reflection signal spectrum includes: Generate a corresponding construction scene simulation model based on the radar pulse reflection signal spectrum of each group of drones, and annotate several geological components in the construction scene simulation model; Establish a three-dimensional coordinate system, map the construction scene simulation models generated by the same group of drones along the scene inspection path onto the same three-dimensional coordinate system, and overlap and map the geological components with the same annotations in each construction scene simulation model; Segment the intersecting parts from the overlapping mapping results of the geological components with the same annotation, extract the geological superposition curve from the superposition edge position of the intersecting parts, and connect and merge the various geological superposition curves to obtain the geological common overlapping part; The overlapping mapping results of the geological common overlapping parts and the geological components after the intersection and exit parts are separated are spliced ​​to obtain the local geological component calibration part. Then, the construction scene simulation models generated by different groups of drones are compared twice to obtain the geological component calibration part. The various geological component calibration parts are spliced ​​in turn to obtain the tunnel construction scene benchmark simulation model.

4. The cross tunnel structure simulation and analysis system based on multi-source heterogeneous information according to claim 3 is characterized in that: The process of establishing the intersection tunnel construction target includes: The tunnel construction plan includes geographical location information of the tunnel construction scene and an estimated construction result map. According to the estimated construction result map, a plurality of cross-tunnel construction result models are divided in the tunnel construction scene benchmark simulation model, and the corresponding construction length, tunnel height and construction steps are marked on each 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 a structural excavation stage, a structural support stage, a structural lining stage and a tunnel inspection stage.

5. The cross tunnel structure simulation and analysis system based on multi-source heterogeneous information according to claim 4 is characterized in that: The laser reflection signal spectrum and real-time tunnel video data acquisition process of the cross tunnel construction target implementation process includes: The tunnel construction data acquisition module locates the corresponding initial construction position and terminal construction position on the tunnel construction scene benchmark simulation model according to the cross tunnel construction target; During the execution of each cross tunnel construction target of the structural excavation phase, tunnel excavation is simultaneously started from the initial construction position by 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, the surround camera collects real-time tunnel video data around the tunnel boring machine, and the laser signal device emits laser signals to the surroundings and obtains the corresponding laser reflection signal spectrum; During the construction of each cross-tunnel in the structural support stage, structural lining stage and tunnel inspection stage, multiple sets of laser signal sensors and cameras with fixed positions are installed at the junction of each cross-tunnel, and each laser signal sensor and camera collects the laser reflection signal spectrum and real-time tunnel video data within its collection range.

6. The cross tunnel structure simulation and analysis system based on multi-source heterogeneous information according to claim 5 is characterized in that: The process of establishing the tunnel construction skeleton model and the real-time tunnel construction skeleton model includes: According to the laser reflection signal spectrum and the real-time tunnel video data, the structural 3D image model and the appearance 3D image model of each cross tunnel construction target at different construction steps are sequentially established; The structural 3D image model and the appearance 3D image model are overlapped along the edge position to obtain a 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 each cross tunnel construction result model, and the corresponding real-time tunnel construction skeleton model is extracted from each real-time tunnel construction simulation model.

7. The cross tunnel structure simulation and analysis system based on multi-source heterogeneous information according to claim 6 is characterized in that: The process of comparing the tunnel construction skeleton model with the real-time tunnel construction skeleton model includes: A unit construction monitoring time period is set. For the real-time tunnel construction simulation model generated during the structural excavation stage, the real-time tunnel construction skeleton model generated within the latest unit construction monitoring time period is overlapped and mapped with the tunnel skeleton model. The parts that are different from the tunnel skeleton model are marked on the real-time tunnel construction skeleton model according to the comparison results, and then the actual construction results are corrected according to the different parts. For the real-time tunnel construction simulation model generated during the structural support stage, structural lining stage and tunnel inspection stage, according to 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 according to the cracked parts of the tunnel cofferdam.

8. The cross tunnel structure simulation and analysis system based on multi-source heterogeneous information according to claim 7 is characterized in that: Whenever the real-time tunnel construction skeleton model within a unit construction monitoring time period is judged to be passed, the real-time tunnel construction simulation model generated in the corresponding unit construction monitoring time period will cover the corresponding part in the construction scene simulation model, and after all the cross-tunnel construction targets are executed, the final tunnel structure simulation model will be obtained.

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