CN114971249A - Underground engineering risk early warning and interactive analysis method based on mixed reality - Google Patents

Abstract

The invention belongs to the technical field of mixed reality and underground engineering risk early warning analysis, and discloses an underground engineering risk early warning and interactive analysis method based on a mixed reality technology; the method comprises (1) model base preparation work; (2) partitioning the model according to an engineering field layout scheme; (3) target model configuration and position information acquisition; (4) converting the format of the Revit model into the Unity3D model; (5) laying characteristic targets on site; (6) registering on-site mixed reality equipment; (7) loading models of a measuring point, geology and the like: (8) calling monitoring and early warning information and displaying the whole domain; (9) calling and analyzing monitoring data of the appointed measuring point; (10) surveying design information and calling for auxiliary analysis; the invention provides an interactive application mode integrating site risk early warning and auxiliary analysis, which constructs a three-dimensional scene fused with an underground engineering site and a geotechnical engineering information model and improves the risk analysis capability of an underground space construction manager and a front-line engineer.

Description

Underground engineering risk early warning and interactive analysis method based on mixed reality

Technical Field

The invention belongs to the technical field of mixed reality and underground engineering risk early warning analysis, and particularly relates to an underground engineering risk early warning and interactive analysis method based on a mixed reality technology.

Background

Due to the mutual influence of complex water and soil environments, hidden underground spaces, adjacent building structures and frequent underground engineering activities, multi-source risk factors are overlapped, and highly integrated underground engineering information has strong complexity and analysis difficulty. The risk early warning of the underground engineering generally establishes a scientific and normalized prevention and control mode through daily monitoring and regular professional patrol, captures and analyzes engineering deformation and disease conditions, thereby effectively controlling project risks and becoming an important means for engineering risk management and control.

At present, the prior art mainly provides early warning service by monitoring deformation and change rate of apparent measuring points, and focuses structural response and change representation of environmental deformation on related early warning results. For more serious risks, the occurrence reasons and the evolution mechanism of the risks need to be clearly known so as to take reasonable and effective control measures, and the risks need to be analyzed and judged by means of professional inspection and combination of various types of investigation and design data according to field conditions. However, multi-source information such as actual conditions, monitoring data, two-dimensional geological survey information and the like on site are mutually isolated, patrols cannot efficiently and intuitively call information resources on site for support, and linkage analysis of discrete data brings challenges to risk early warning analysis of underground engineering.

Therefore, the underground engineering risk early warning analysis technology has a great promotion space in the aspects of early warning information interactive perception and comprehensive analysis in the field operation environment.

Disclosure of Invention

In order to solve the problems, the invention provides an underground engineering risk early warning and interactive analysis method based on mixed reality, which helps to improve the convenience of underground engineering site risk comprehensive early warning analysis through comprehensive innovation of model processing, block registration and early warning analysis function development, realizes matching of underground engineering digital information and real scene information, prompts a high-risk area with a faster engineering deformation degree and development trend, enables a first-line engineer to know that the fine deformation of an engineering enclosure structure and the geological condition information of a hidden position cannot be visually checked, and improves the first-line safety level and risk analysis judgment capability.

The technical scheme of the invention is as follows:

a mixed reality-based underground engineering risk early warning and interactive analysis method comprises the following steps:

(1) preparing a model foundation;

(2) partitioning the model according to an engineering field layout scheme;

(3) target model configuration and position information acquisition;

(4) converting the format of the Revit model into the Unity3D model;

(5) laying characteristic targets on site;

(6) registering on-site mixed reality equipment;

(7) loading models of measuring points, geology and the like: (ii) a

(8) Calling monitoring and early warning information and displaying the whole domain;

(9) calling and analyzing monitoring data of the appointed measuring point;

(10) and (5) carrying out investigation and design information calling for auxiliary analysis.

Further, the underground engineering risk early warning and interactive analysis method based on mixed reality comprises the following steps:

(1) model base preparation work: based on a city coordinate system, creating an underground engineering project 1:1 model in Revit software, and inputting survey design information and a unique identification code into a component;

(2) partitioning the model according to an engineering field distribution scheme: making model partitions according to the characteristics of the underground engineering, and partitioning the model by taking an engineering specified measuring point as an initial datum point and taking the sight threshold good distance D as a diameter;

(3) target model configuration and position information acquisition: establishing a target family component model, selecting 3 feature points with good sight lines and without shielding in each area in the step 2 to place a target family, and acquiring plane coordinates and elevations of the target family in an urban coordinate system for on-site placement and matching; storing the obtained product in the Revit model in the step 1;

(4) revit model to Unity3D model format conversion: exporting the model saved in the step 3 into a Unity3D engine specified format through a Unity plug-in, and storing the model into mixed reality equipment;

(5) and (3) field laying of characteristic targets: performing target lofting layout on the site according to the coordinates in the step 3 to ensure that the position and the elevation of the target in each area are consistent with the scheme;

(6) on-site mixed reality device registration: the mixed reality equipment is used on site, and the airborne camera lens is used for completing live-action registration through space coordinate conversion based on the region internal standard target point;

(7) loading models of measuring points, geology and the like: loading the model in the rendering step 4 by using a Unity3D engine on the mixed reality device, and superposing the rendered model image result in the real live-action image of the holographic display screen, wherein the model comprises distributed monitoring measuring points, geologic bodies, underground buried structures and other models;

(8) calling monitoring and early warning information and displaying the universe: calling early warning data matched with the central database through a mobile network by using measuring point number information carried by all measuring points in the step 1, and giving early warning colors corresponding to security levels to all measuring point models; in the area of step 6, continuously calculating the Euclidean distance L between the mixed reality device and the point measuring object in the area, and judging the data of L and D at short intervals: if L is less than or equal to D, loading the latest numerical value corresponding to the measuring point model meeting the condition, and carrying out flash prompt on the alarm information; if D is less than or equal to 1.5D, carrying out flicker prompting on the alarm information of the measuring point model meeting the conditions; in other cases, L >1.5D, no additional operations are performed other than the basic operation described above;

(9) calling and analyzing monitoring data of designated measuring points: aiming at measuring points with high risk level or positions concerned by patrols, one or more measuring points can be selected and assigned through interactive operation, corresponding measuring point numbers are retrieved through unique identification codes carried by the measuring points, monitoring data matched with the central database are called in real time, and the obtained monitoring data are superposed into the holographic image in the step 7 in a semi-transparent chart mode for analysis by the patrols;

(10) investigation design information calling auxiliary analysis: aiming at the parts with prominent risks or the hidden positions concerned by patrolmen, a geological model, a structural object or an underground buried structure model can be displayed and selected through interactive operation, stratum information, drilling layering information, structural part design information and basic information of the underground structure attached to the model component are called by using the unique identification code carried by the model in the step 1, and the risk condition of the underground engineering can be comprehensively known from the first-person perspective of the field patrolmen through the linkage analysis of dynamic monitoring data and static geological occurrence conditions.

Further, the underground engineering risk early warning and interactive analysis method based on mixed reality further includes: (11) continuous application of risk early warning and interactive analysis of underground engineering: and (3) according to the requirement of the patrol plan or the actual risk analysis, after entering a new area, carrying out new environment matching, repeating the process of the step 6-10, reflecting the risk information in the process and carrying out auxiliary analysis in an interactive mode until the application is finished.

Further, according to the underground engineering risk early warning and interactive analysis method based on mixed reality, in the step (1) of model foundation preparation work, the models include but are not limited to geological models, monitoring point models, underground engineering structure models and buried underground structures.

Further, according to the underground engineering risk early warning and interactive analysis method based on mixed reality, in the step (2), model partitioning is carried out according to an engineering field distribution scheme, and the value range of the good visual threshold distance D is 10-20 m.

Further, in the underground engineering risk early warning and interactive analysis method based on mixed reality, in the step (7) of loading models such as measuring points and geology, the default loaded model content can be selected and configured within the model type range covered by the model in the step 1 according to engineering requirements, and the default loaded model which is not displayed can be subsequently opened manually.

Further, in the method for underground engineering risk early warning and interactive analysis based on mixed reality, in the step (8) of monitoring early warning information retrieval and global display, L ═ sqrt ((x1-x2) ^2+ (y1-y2) ^2+ (z1-z2) ^2), wherein x1, y1 and z1 are spatial coordinates of the location, and x2, y2 and z2 are central spatial coordinates of a point model bounding box.

Further, the underground engineering risk early warning and interactive analysis method based on mixed reality comprises the following steps:

(1) model base preparation work: based on a city coordinate system, creating an underground engineering project 1:1 model in Revit software, and inputting survey design information and a unique identification code into a component; the models include but are not limited to geological models, monitoring station models, underground engineering structure models and buried underground structures;

(2) partitioning the model according to an engineering field layout scheme: making model partitions according to the characteristics of the underground engineering, and partitioning the model by taking an engineering specified measuring point as an initial datum point and taking the sight threshold good distance D as a diameter; the value range of the good visual threshold distance D is 10-20 m;

(3) target model configuration and position information acquisition: establishing a target family component model, selecting 3 feature points with good sight lines and without shielding in each area in the step 2 to place a target family, and acquiring plane coordinates and elevations of the target family in an urban coordinate system for on-site placement and matching; storing the obtained product in the Revit model in the step 1;

(4) the Revit model is format converted to the Unity3D model: exporting the model saved in the step 3 into a Unity3D engine specified format through a Unity plug-in, and storing the model into mixed reality equipment;

(5) and (3) field laying of characteristic targets: performing target lofting layout on the site according to the coordinates in the step 3 to ensure that the position and the elevation of the target in each area are consistent with the scheme;

(6) on-site mixed reality device registration: the mixed reality equipment is used on site, and the airborne camera lens is used for completing live-action registration through space coordinate conversion based on the region internal standard target point;

(7) loading models of measuring points, geology and the like: loading the model in the rendering step 4 by using a Unity3D engine on the mixed reality device, and superposing the rendered model image result in the real live-action image of the holographic display screen, wherein the model comprises distributed monitoring measuring points, geologic bodies, underground buried structures and other models; the default loaded model content can be selected and configured in the model type range covered by the model in the step 1 according to engineering requirements, and the default loaded model which is not displayed can be manually opened subsequently;

(8) calling monitoring and early warning information and displaying the universe: calling early warning data matched with the central database through a mobile network by using measuring point number information carried by all measuring points in the step 1, and giving early warning colors corresponding to security levels to all measuring point models; in the region of step 6, continuously calculating the Euclidean distance L between the mixed reality equipment and the point measuring object in the region, and judging the data of L and D at short intervals: if L is less than or equal to D, loading the latest numerical value corresponding to the measuring point model meeting the condition, and carrying out flash prompt on the alarm information; if D is less than or equal to 1.5D, carrying out flicker prompting on the alarm information of the measuring point model meeting the conditions; in other cases, L >1.5D, no additional operations are performed other than the basic operation described above; the L is sqrt ((x1-x2) ^2+ (y1-y2) ^2+ (z1-z2) ^2), wherein x1, y1 and z1 are position space coordinates, and x2, y2 and z2 are center space coordinates of a measuring point model bounding box;

(9) calling and analyzing monitoring data of designated measuring points: aiming at measuring points with high risk level or positions concerned by patrolmen, one or more measuring points can be selected and assigned through interactive operation, corresponding measuring point numbers are retrieved through unique identification codes carried by the measuring points, monitoring data matched with the central database are called immediately, and the obtained monitoring data are superposed into the holographic image in the step 7 in a semi-transparent chart mode for being analyzed by the patrolmen;

(10) investigation design information calling auxiliary analysis: aiming at the parts with prominent risks or the hidden positions concerned by patrolmen, a geological model, a structural object or an underground buried structure model can be displayed and selected through interactive operation, stratum information, drilling layering information, structural part design information and basic information of the underground structure attached to a model member are called by using the unique identification code carried by the model in the step 1, and the risk condition of the underground engineering is comprehensively known from the first-person perspective of the field patrolmen through the linkage analysis of dynamic monitoring data and static geological occurrence conditions;

(11) continuous application of risk early warning and interactive analysis of underground engineering: and (3) according to the requirement of the patrol plan or the actual risk analysis, after entering a new area, carrying out new environment matching, repeating the process of the step 6-10, reflecting the risk information in the process and carrying out auxiliary analysis in an interactive mode until the application is finished.

Compared with the prior art, the invention has the following beneficial effects:

(1) compared with the conventional underground engineering risk early warning analysis implementation scheme, the method and the system have the advantages that a mixed reality interaction mode which takes the first person as the core is added, the risk in the dynamic construction process is quickly positioned and checked by accessing the cloud monitoring data aiming at the monitoring early warning information, the risk position is found in the real world visually, and the intuitiveness of on-site risk expression is improved.

(2) The invention provides an interactive application mode integrating site risk early warning and auxiliary analysis, which constructs a three-dimensional scene fused by an underground engineering site and a geotechnical engineering information model, enhances the linkage of underground engineering investigation design information on the basis of dynamic monitoring and early warning information integration by three-dimensional visualization and parametric expression of underground element information such as geotechnical media, structural design parameters, underground buried structures and the like on the back of the underground engineering, assists the underground engineering risk early warning analysis, and improves the risk analysis capability of underground space construction managers and front-line engineers.

Drawings

FIG. 1 is a schematic flow diagram of the process of the present invention.

Detailed Description

Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.

In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "clockwise", "counterclockwise", and the like, indicate orientations and positional relationships based on those shown in the drawings, and are used only for convenience of description and simplicity of description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be considered as limiting the present invention.

Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, unless otherwise specified, "a plurality" means two or more unless explicitly defined otherwise.

In the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.

In the present invention, unless otherwise expressly stated or limited, "above" or "below" a first feature means that the first and second features are in direct contact, or that the first and second features are not in direct contact but are in contact with each other via another feature therebetween. Also, the first feature being "on," "above" and "over" the second feature includes the first feature being directly on and obliquely above the second feature, or merely indicating that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature includes the first feature being directly under and obliquely below the second feature, or simply meaning that the first feature is at a lesser elevation than the second feature.

Examples

As shown in fig. 1, a mixed reality-based underground engineering risk early warning and interactive analysis method includes the following steps:

(1) based on an urban coordinate system, an underground engineering project 1:1 model is created in Revit software, investigation and design information and a unique identification code are recorded into a model member, and the model mainly comprises: the geological model comprises a stratum (stratum number and stratum attribute information can be inquired through a unique identification code), an exploration hole (hole number and drilling layering information can be inquired through the unique identification code); monitoring a measuring point model (early warning information and monitoring data of the measuring point can be inquired through a unique identification code); structural models (design parameters can be queried by unique identification codes); the underground buried structure model (such as underground pipe network, underground barrier, existing building pile foundation and the like) can inquire the information of the underground buried structure foundation through the unique identification code.

(2) Making model partitions according to the characteristics of the underground engineering, determining a patrol path, and performing model partitions by taking an appointed measuring point of the engineering as an initial datum point and taking a visual threshold D (10-20 m) as a diameter;

(3) selecting 3 good-sight and unshielded feature points to establish a target family and acquiring geographic x, y coordinates and elevation z of the target family in a city coordinate system of the target family in each area for on-site placement and matching;

(4) exporting a Unity3D engine-specified format of the model in the step 1 through a Unity Reflect plug-in, and storing the format into mixed reality equipment (including but not limited to MR glasses, smart phones and the like);

(5) performing target lofting layout on the site according to the coordinates in the step 3, and ensuring that the number, position and elevation of the targets in each area are consistent with those of the scheme;

(6) the mixed reality equipment is used on site, and the airborne camera lens is used for completing real scene block registration based on the target points;

(7) loading the model in the rendering step 4 by using a Unity3D engine on the mixed reality device, and superposing the rendered model image result in the reality live-action image of the holographic display screen, wherein the model image result comprises distributed monitoring measuring points, geologic bodies, underground buried structures and other models (the default loaded model content can be selected and configured in the model type range covered by the model in the step 1 according to the engineering requirement, and the default unloaded model can be subsequently opened manually);

(8) and (2) calling early warning data matched with the central database through a mobile network by using the measuring point number information carried by all measuring points in the step (1), and giving early warning colors and numerical labels corresponding to the security level to all measuring point models. In the area of step 6, the Euclidean distance L between the mixed reality device and the point objects in the area is continuously calculated, wherein L is sqrt ((x1-x2) ^2+ (y1-y2) ^2+ (z1-z2) ^2), x1, y1 and z1 are position space coordinates, and x2, y2 and z2 are point model enclosing box center space coordinates. And judging the data of L and D at short intervals: if L is less than or equal to D, loading the latest numerical value corresponding to the measuring point model meeting the condition, and carrying out flash prompt on the alarm information; if D is less than or equal to 1.5D, carrying out flicker prompting on the alarm information of the measuring point model meeting the conditions; in other cases (i.e., L >1.5D), no additional operations are performed beyond the basic operation described above. Through interactive early warning suggestion and data loading as required, promote risk suggestion effect, the rational distribution data is called and is rendered the performance.

(9) And (3) aiming at the measuring points with high risk level or the parts concerned by the patroller, one or more measuring points can be selected and assigned through interactive operation, monitoring data matched with the central database is called in real time through unique identification codes (corresponding measuring point numbers are searched) carried by the measuring points, and the obtained monitoring data is superposed into the holographic image in the step (7) in a semi-transparent chart mode for the analysis of the patroller.

(10) Aiming at the parts with prominent risks or the hidden positions concerned by patrollers, a geological model, a structural object and an underground structure can be displayed and selected through interactive operation, stratum information, drilling layering information, structural part design information and basic information of the underground structure attached to a model component are called by using the unique identification code carried by the model in the step 1, and the risk condition of the underground engineering can be comprehensively known from the first-person perspective of the field patroller through linkage analysis of dynamic monitoring data and static geological occurrence conditions.

(11) According to the requirement of routing or actual risk analysis, after entering a new area, engineering patrollers perform new environment matching, repeat the process of 6-10, reflect risk information in the process and perform auxiliary analysis in an interactive mode until the application is finished.

According to the embodiment, the underground engineering risk early warning and interactive analysis method based on mixed reality disclosed by the invention has the advantages that the comprehensive innovation of model processing, block registration and early warning analysis function development is adopted, the convenience of underground engineering site risk comprehensive early warning analysis is improved in an auxiliary mode, the matching of digital information and real scene information of underground engineering is realized, a high-risk area with fast engineering deformation degree and development trend is prompted, a first-line engineer can know that the fine deformation of an engineering enclosure structure and the geological condition information of a hidden position cannot be visually checked, and the first-line safety level and risk analysis judgment capability are improved.

The above are only preferred embodiments of the present invention, and the scope of the present invention should not be limited thereby, and all the equivalent changes and modifications made by the claims and the summary of the invention should be covered by the protection scope of the present patent application.

Claims (8)

1. An underground engineering risk early warning and interactive analysis method based on mixed reality is characterized by comprising the following steps:

(1) preparing a model foundation;

(2) partitioning the model according to an engineering field layout scheme;

(3) target model configuration and position information acquisition;

(4) converting the format of the Revit model into the Unity3D model;

(5) laying characteristic targets on site;

(6) registering on-site mixed reality equipment;

(7) loading models of measuring points, geology and the like: (ii) a

(8) Calling monitoring and early warning information and displaying the whole domain;

(9) calling and analyzing monitoring data of the appointed measuring point;

(10) and (5) calling the design information for auxiliary analysis.

2. The mixed reality-based underground engineering risk early warning and interactive analysis method according to claim 1, characterized by comprising the following steps:

(1) model base preparation work: based on a city coordinate system, creating an underground engineering project 1:1 model in Revit software, and inputting survey design information and a unique identification code into a component;

(2) partitioning the model according to an engineering field layout scheme: making model partitions according to the characteristics of the underground engineering, and partitioning the model by taking an engineering specified measuring point as an initial datum point and taking the sight threshold good distance D as a diameter;

(3) target model configuration and position information acquisition: establishing a target family component model, selecting 3 feature points with good sight lines and without shielding in each area in the step 2, placing a target family, and obtaining plane coordinates and elevations of the target family under an urban coordinate system for on-site placement and matching; storing the obtained product in the Revit model in the step 1;

(4) revit model to Unity3D model format conversion: exporting the model saved in the step 3 into a Unity3D engine specified format through a Unity plug-in, and storing the model into mixed reality equipment;

(5) and (3) field laying of characteristic targets: performing target lofting layout on the site according to the coordinates in the step 3 to ensure that the position and the elevation of the target in each area are consistent with the scheme;

(6) on-site mixed reality device registration: the mixed reality equipment is used on site, and the airborne camera lens is used for completing live-action registration through space coordinate conversion based on the internal standard target point in the area;

(7) loading models of measuring points, geology and the like: loading the model in the rendering step 4 by using a Unity3D engine on the mixed reality device, and superposing the rendered model image result in the real live-action image of the holographic display screen, wherein the model comprises distributed monitoring measuring points, geologic bodies, underground buried structures and other models;

(8) calling monitoring and early warning information and displaying the universe: calling early warning data matched with a central database through a mobile network by using measuring point number information carried by all measuring points in the step 1, and endowing all measuring point models with early warning colors corresponding to security levels; in the area of step 6, continuously calculating the Euclidean distance L between the mixed reality device and the point measuring object in the area, and judging the data of L and D at short intervals: if L is less than or equal to D, loading the latest numerical value corresponding to the measuring point model meeting the condition, and carrying out flash prompt on the alarm information; if D is less than or equal to 1.5D, carrying out flicker prompting on the alarm information of the measuring point model meeting the conditions; in other cases, L >1.5D, no additional operations are performed other than the basic operation described above;

(9) calling and analyzing monitoring data of designated measuring points: aiming at measuring points with high risk level or positions concerned by patrols, one or more measuring points can be selected and assigned through interactive operation, corresponding measuring point numbers are retrieved through unique identification codes carried by the measuring points, monitoring data matched with the central database are called in real time, and the obtained monitoring data are superposed into the holographic image in the step 7 in a semi-transparent chart mode for analysis by the patrols;

(10) investigation design information calling auxiliary analysis: aiming at the parts with prominent risks or the hidden positions concerned by patrolmen, a geological model, a structural object or an underground buried structure model can be displayed and selected through interactive operation, stratum information, drilling layering information, structural part design information and basic information of the underground structure attached to the model component are called by using the unique identification code carried by the model in the step 1, and the risk condition of the underground engineering can be comprehensively known from the first-person perspective of the field patrolmen through the linkage analysis of dynamic monitoring data and static geological occurrence conditions.

3. The mixed reality-based underground engineering risk early warning and interactive analysis method according to claim 2, further comprising:

(11) continuous application of risk early warning and interactive analysis of underground engineering: and (3) according to the requirement of the patrol plan or the actual risk analysis, after entering a new area, carrying out new environment matching, repeating the process of the step 6-10, reflecting the risk information in the process and carrying out auxiliary analysis in an interactive mode until the application is finished.

4. The mixed reality-based underground engineering risk early warning and interactive analysis method as claimed in claim 2, wherein the model foundation preparation work in step (1) includes but is not limited to geological models, monitoring station models, underground engineering structure models and buried underground structures.

5. The underground engineering risk early warning and interactive analysis method based on mixed reality as claimed in claim 2, wherein in the step (2) of performing model partition according to an engineering field distribution scheme, the value range of the threshold-of-view good distance D is 10-20 m.

6. The mixed reality-based underground engineering risk early warning and interactive analysis method as claimed in claim 4, wherein in the step (7) of loading models of survey points, geology and the like, the default display loaded model content can be selected and configured within the model type range covered by the model in the step 1 according to engineering requirements, and the default non-display loaded model can be subsequently opened manually.

7. The method of claim 2, wherein in the step (8) of retrieving and displaying the monitoring and warning information, L is sqrt ((x1-x2) ^2+ (y1-y2) ^2+ (z1-z2) ^2), where x1, y1, and z1 are coordinates of a location space, and x2, y2, and z2 are coordinates of a box center space surrounded by a station model.

8. The mixed reality-based underground engineering risk early warning and interactive analysis method according to claim 1, characterized by comprising the following steps:

(1) model base preparation work: based on a city coordinate system, creating an underground engineering project 1:1 model in Revit software, and inputting survey design information and a unique identification code into a component; the models include but are not limited to geological models, monitoring station models, underground engineering structure models and buried underground structures;

(2) partitioning the model according to an engineering field layout scheme: making model partitions according to the characteristics of the underground engineering, and partitioning the model by taking an engineering specified measuring point as an initial datum point and taking the sight threshold good distance D as a diameter; the value range of the good visual threshold distance D is 10-20 m;

(3) target model configuration and position information acquisition: establishing a target family component model, selecting 3 feature points with good sight lines and without shielding in each area in the step 2, placing a target family, and obtaining plane coordinates and elevations of the target family under an urban coordinate system for on-site placement and matching; storing the obtained product in the Revit model in the step 1;

(4) the Revit model is format converted to the Unity3D model: exporting the model saved in the step 3 into a Unity3D engine specified format through a Unity plug-in, and storing the model into mixed reality equipment;

(5) and (3) field laying of characteristic targets: performing target lofting layout on the site according to the coordinates in the step 3 to ensure that the position and the elevation of the target in each area are consistent with the scheme;

(6) on-site mixed reality device registration: the mixed reality equipment is used on site, and the airborne camera lens is used for completing live-action registration through space coordinate conversion based on the region internal standard target point;

(7) loading models of measuring points, geology and the like: loading the model in the rendering step 4 by using a Unity3D engine on the mixed reality device, and superposing the rendered model image result in the real live-action image of the holographic display screen, wherein the model comprises distributed monitoring measuring points, geologic bodies, underground buried structures and other models; the default loaded model content can be selected and configured in the model type range covered by the model in the step 1 according to engineering requirements, and the default loaded model which is not displayed can be manually opened subsequently;

(8) calling monitoring and early warning information and displaying the universe: calling early warning data matched with the central database through a mobile network by using measuring point number information carried by all measuring points in the step 1, and giving early warning colors corresponding to security levels to all measuring point models; in the area of step 6, continuously calculating the Euclidean distance L between the mixed reality device and the point measuring object in the area, and judging the data of L and D at short intervals: if L is less than or equal to D, loading the latest numerical value corresponding to the measuring point model meeting the condition, and carrying out flash prompt on the alarm information; if D is less than or equal to 1.5D, carrying out flicker prompting on the alarm information of the measuring point model meeting the conditions; in other cases, L >1.5D, no additional operations are performed other than the basic operation described above; the L & ltsqrt & gt ((x1-x2) ^2+ (y1-y2) ^2+ (z1-z2) ^2), wherein x1, y1 and z1 are position space coordinates, and x2, y2 and z2 are central space coordinates of a measuring point model bounding box;

(9) calling and analyzing monitoring data of designated measuring points: aiming at measuring points with high risk level or positions concerned by patrols, one or more measuring points can be selected and assigned through interactive operation, corresponding measuring point numbers are retrieved through unique identification codes carried by the measuring points, monitoring data matched with the central database are called in real time, and the obtained monitoring data are superposed into the holographic image in the step 7 in a semi-transparent chart mode for analysis by the patrols;

(10) investigation design information calling auxiliary analysis: aiming at the parts with prominent risks or the hidden positions concerned by patrolmen, a geological model, a structural object or an underground buried structure model can be displayed and selected through interactive operation, stratum information, drilling layering information, structural part design information and basic information of the underground structure attached to a model member are called by using the unique identification code carried by the model in the step 1, and the risk condition of the underground engineering is comprehensively known from the first-person perspective of the field patrolmen through the linkage analysis of dynamic monitoring data and static geological occurrence conditions;

(11) continuous application of risk early warning and interactive analysis of underground engineering: and (3) according to the requirement of the patrol plan or the actual risk analysis, after entering a new area, carrying out new environment matching, repeating the process of the step 6-10, reflecting the risk information in the process and carrying out auxiliary analysis in an interactive mode until the application is finished.

Images