A large-scale non-contact geological deformation monitoring method, system and storage medium

Abstract

The present invention discloses a large-scale, non-contact geological deformation monitoring method, system, and storage medium, relating to the field of geological disaster monitoring technology. First, a transmitter array is arranged in the monitoring area to construct a three-dimensional spatial configuration. Based on the three-dimensional spatial configuration, a global spatial coordinate system of the monitoring area is constructed; a two-dimensional plane coordinate system No. 1 is constructed based on the perspective of the first monitoring point; the three-dimensional spatial configuration is projected into the two-dimensional plane coordinate system No. 1; a determination is made as to whether a displacement change occurs at the intersection of rays in the two-dimensional plane coordinate system No. 1; if no displacement change occurs, no operation is performed; if a displacement change occurs, the next step is executed; and cross-positioning calculations are performed on the intersection that has changed to obtain transmitter displacement information and ray angle changes. The present invention minimizes interference and influence from the surface and near-surface environment or complex mountain bodies, resulting in more sensitive and efficient monitoring results at a lower cost.

Description

Technical Field

[0001] The present invention relates to the technical field of geological disaster monitoring, and more particularly to a large-scale non-contact geological deformation monitoring method, system and storage medium. Background Art

[0002] Research on landslide monitoring using computer vision technology is relatively limited. Computer vision methods use cameras to capture images, then apply computational and analytical algorithms to them, using certain algorithms to predict the mountain's mass and achieve the goal of monitoring. Intelligent recognition of rockfalls in video images relies on moving target detection and tracking. Common target detection methods include frame subtraction, background subtraction, Gaussian mixture models, and feature-based detection. Common target tracking methods include Kalman filtering, particle filtering, feature-based methods, and contour-based tracking. Applications of computer vision recognition for geological disaster monitoring primarily focus on monitoring rain, snow, and fog disasters, with limited mention of monitoring for disasters such as rockfalls, landslides, and debris flows. The results of relevant papers do not guarantee accurate monitoring, and no targeted intelligent monitoring applications have been reported. A research team is studying non-contact, long-distance landslide monitoring. They set up a laser transmitter at the top of the mountain to be monitored and an information collector, consisting of a camera and two measuring plates, in a safe area some distance from the monitoring area. The laser beam is projected onto the measuring plates. After an algorithm-corrected image is generated, the camera captures the position of the laser projection on the measuring plates to determine the movement of the mountain. Tests have shown that this method can collect data using a single camera without human intervention. However, the location of the camera, mountain environmental interference, and climatic conditions significantly affect the laser projection, making satisfactory monitoring difficult. Separately, other researchers have designed a real-time landslide monitoring method based on binocular image sequences. This method uses a binocular camera to capture images of the monitored area, extracting invariant features from the images as feature points. By tracking changes in these feature points, the monitored area is judged to have changed. When the number of changes in these feature points exceeds a set threshold, the monitored area is considered to have changed. The advantage of this method is that it uses cameras for monitoring and there is no need to set up markers in the monitored area. However, the disadvantage is that due to the complex environment of outdoor mountain areas, it is difficult to find stable and unchanging characteristic benchmarks, which greatly reduces the practicality of this method. The suddenness of geological disasters such as landslides, rockfalls and collapses and the complexity of the environment to be measured make it difficult for the above monitoring scheme based on deformation processes to achieve ideal monitoring and early warning effects.

[0003] Therefore, how to overcome the shortcomings of existing landslide monitoring technologies, such as being greatly affected by weather and the environment and having inaccurate monitoring effects, and improve the accuracy of geological disaster judgment and the effectiveness of monitoring and early warning, is an urgent problem that technicians in this field need to solve. Summary of the Invention

[0004] In view of this, the present invention overcomes the deficiencies of existing design technical solutions, arranges transmitters in potential areas of geological disasters, forms an array configuration and direct air rays or virtual air rays with specific identification characteristics, uses monitors and computer vision recognition technology and wireless communication technology to capture the spatial configuration of the array and rays, constructs a three-dimensional spatial configuration, uses the monitor's perspective as a reference, monitors the changes in the mapping intersection points of the rays on the two-dimensional plane, and determines the three-dimensional spatial displacement and deformation of the transmitter array based on intelligent recognition, cross-validation and calculation methods, thereby identifying areas where geological changes have occurred and conducting geological disaster assessments and early warnings.

[0005] The present invention effectively reduces the interference of complex surface and near-ground environments on digital acquisition, image acquisition, and visual image processing by mapping surface targets into spatial configurations. At the same time, it effectively associates multiple single independent targets, greatly improving the accuracy of geological disaster judgment and the effectiveness of monitoring and early warning.

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

[0007] A large-scale non-contact geological deformation monitoring method comprises the following steps:

[0008] Step 1: Arrange a transmitter array in the monitoring area to form an array configuration with specific identification features and direct air rays or virtual air rays. Use monitors, computer vision recognition technology, and wireless communication technology to capture the spatial configuration of the array and rays and construct a three-dimensional spatial configuration.

[0009] Step 2: Based on the three-dimensional spatial configuration and fixed reference points, a global spatial coordinate system is constructed for the monitoring area. When displacement is detected, the global spatial coordinate system will provide a reference for multi-view spatial cross-positioning calculations.

[0010] Step 3: Select the first monitoring point and construct a two-dimensional plane coordinate system No. 1 based on the perspective of the first monitoring point.

[0011] Step 4: Project the three-dimensional space configuration into the No. 1 two-dimensional plane coordinate system.

[0012] Step 5: Determine whether the ray intersection point in the No. 1 two-dimensional plane coordinate system has undergone displacement change. If not, no operation is performed. If so, execute step 6.

[0013] Step 6: Perform cross-positioning calculation on the changed intersection points to obtain the transmitter displacement information and the angle change of the ray.

[0014] Optionally, the emitters in the emitter array are infrared emitters.

[0015] Optionally, the emitter array refers to an infrared emitter array with specific identification features and configurations; the specific identification features and configurations refer to: mathematical geometric shapes that are significantly different from natural environment interference, including circles, triangles, quadrilaterals, octagons and their superimposed structures.

[0016] Optionally, the constructing of the three-dimensional space configuration specifically refers to capturing the spatial configuration of the air rays directly radiated by the transmitter or the virtual space rays extended by the configuration of the transmitter using intelligent monitoring, computer vision recognition and wireless communication technology to obtain the three-dimensional space configuration.

[0017] Optionally, when determining whether the ray intersection point has changed, the number of the intersection point is at least one, and when any intersection point changes, the next step is executed.

[0018] Optionally, the cross-positioning calculation refers to a cross-positioning calculation of multiple monitoring perspectives, and the specific steps are:

[0019] Step 6.1, select the second monitoring point and construct a two-dimensional plane coordinate system No. 2 based on the perspective of the second monitoring point;

[0020] Step 6.2, project the changed intersection points and associated rays in the two-dimensional plane coordinate system No. 1 to the two-dimensional plane coordinate system No. 2;

[0021] Step 6.3: Repeat steps 6.1 to 6.3 based on the positioning accuracy and specific circumstances, select at least two monitoring points including the first monitoring point and the second monitoring point, and then construct at least two two-dimensional plane coordinate systems including the first two-dimensional plane coordinate system and the second two-dimensional plane coordinate system;

[0022] Step 6.4: Based on the at least two two-dimensional plane coordinate systems in step 6.3, determine the displacement information of the emitter and the angle change of the ray in the global space coordinate system through the intersection points and associated rays in each two-dimensional plane coordinate system.

[0023] Optionally, cross-position calculation is performed on all changed intersection points in the No. 1 two-dimensional plane coordinate system to obtain the emitter displacement information and the angle change of the ray in the global space coordinate system for cross-validation.

[0024] Optionally, the method further includes step 7, determining the area where geological deformation occurs based on the transmitter displacement information and ray angle changes obtained from all changed intersections, and judging whether the preset threshold is reached based on the degree of deformation. If so, a geological disaster warning is issued.

[0025] The present invention also provides a large-scale non-contact geological deformation monitoring system, comprising:

[0026] A three-dimensional spatial configuration building module is used to arrange the transmitter array in the monitoring area to build a three-dimensional spatial configuration;

[0027] A global space coordinate system construction module, used to construct a global space coordinate system of the monitoring area based on the three-dimensional space configuration;

[0028] A two-dimensional plane coordinate system construction module is used to select a first monitoring point and construct a No. 1 two-dimensional plane coordinate system based on the perspective of the first monitoring point;

[0029] A projection module, configured to project the three-dimensional spatial configuration into a two-dimensional plane coordinate system No. 1;

[0030] The judgment module is used to judge whether the ray intersection point in the No. 1 two-dimensional plane coordinate system has undergone displacement changes. If no displacement changes, no operation is performed. If displacement changes, the geological deformation parameter determination module is executed.

[0031] The geological deformation parameter determination module is used to perform cross-positioning calculations on the changed intersection points and obtain the transmitter displacement information and the angle change of the ray.

[0032] The present invention also provides a computer storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the large-scale non-contact geological deformation monitoring method as described above are implemented.

[0033] As can be seen from the above technical solutions, the present invention discloses a method, system and storage medium for large-scale non-contact geological deformation monitoring, which has the following beneficial effects compared with the prior art:

[0034] (1) The present invention deploys infrared emission arrays in geological hazard risk areas to monitor changes in the spatial configuration of actual and virtual ray structures, rather than directly monitoring the geological hazard risk points themselves. This minimizes the interference and impact of the surface and near-surface environment or complex mountain bodies on perception monitoring, image processing, and signal transmission. At the same time, by sensing changes in spatial configuration rays, the present invention measures minor geological changes, making it more sensitive and efficient than traditional monitoring methods.

[0035] (2) The method of responding to geological movement changes by monitoring changes in radiation can be coordinated with sensor monitoring and remote sensing monitoring to provide disaster warnings through comprehensive judgment. This can avoid false alarms caused by data deviations of sensors and other equipment or technical means, and avoid missed alarms caused by accuracy, sensitivity or data delays.

[0036] (3) The present invention adopts the method of arranging infrared emission arrays to carry out geological deformation monitoring and early warning, and achieves the purpose of monitoring and early warning through technical means such as video monitoring, image processing, computer vision recognition, intelligent control, spatial calculation, and wireless communication. Compared with the surface contact monitoring and early warning method that covers a small range and small area, it can realize monitoring and early warning of a larger area as a whole, and the implementation plan has low cost and high efficiency.

[0037] (4) The present invention adopts a spatial configuration monitoring method and displacement multi-point cross-validation, and the monitoring and early warning efficiency and accuracy are high. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0039] FIG1( a ) is a diagram illustrating a specific array configuration of infrared emitters according to an embodiment of the present invention;

[0040] FIG1( b ) is a schematic diagram of rays in three-dimensional space according to an embodiment of the present invention;

[0041] Figure 2 Schematic diagram of a No. 1 two-dimensional plane coordinate system based on a monitoring perspective established in an embodiment of the present invention;

[0042] Figure 3 Schematic diagram of intersection points of straight lines in the No. 1 two-dimensional plane coordinate system based on the monitoring perspective in an embodiment of the present invention;

[0043] Figure 4 Schematic diagram of intersection point and line equation information in an embodiment of the present invention;

[0044] Figure 5 This is a schematic diagram showing the ray coverage range in an embodiment of the present invention;

[0045] Figure 6 Schematic diagram of the mapping intersection of two rays in the No. 1 two-dimensional plane coordinate system in an embodiment of the present invention;

[0046] Figure 7 Schematic diagram of intersection change in an embodiment of the present invention;

[0047] Figure 8 Schematic diagram of two-dimensional plane coordinate system No. 2 based on the second monitoring perspective in an embodiment of the present invention;

[0048] Figure 9 Schematic diagram of projection in the No. 2 two-dimensional plane coordinate system based on the second monitoring perspective in an embodiment of the present invention;

[0049] Figure 10 Schematic diagram of depth information and deviation angle information after changes in an embodiment of the present invention;

[0050] Figure 11 The figure is a flow chart of the method steps of the present invention. DETAILED DESCRIPTION

[0051] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0052] The embodiment of the present invention discloses a large-scale non-contact geological deformation monitoring method, see Figure 11 , including the following steps:

[0053] Step 1: Arrange a transmitter array in the monitoring area to form an array configuration with specific identification features and direct air rays or virtual air rays. Use monitors, computer vision recognition technology, and wireless communication technology to capture the spatial configuration of the array and rays and construct a three-dimensional spatial configuration.

[0054] The emitter array refers to an infrared emitter array with specific identification features and configurations; the specific identification features and configurations refer to: mathematical geometric shapes that are obviously different from natural environment interference, including circles, triangles, quadrilaterals, octagons and their superimposed structures, etc., see Figure 1(a).

[0055] Specifically, transmitter deployments can be arranged in different numbers, positions, arrays, and configurations, depending on the specific disaster area. These arrangements can be implemented using pre-set plans or intelligent control technology. The direct or virtual airborne rays formed by the transmitter array should form a finite three-dimensional spatial configuration, minimizing interference from complex surface and near-surface environments on digital and image acquisition.

[0056] Preferably, the emitters in the emitter array are infrared emitters.

[0057] The construction of the three-dimensional space configuration specifically refers to capturing the spatial configuration of the air rays directly radiated by the transmitter or the virtual space rays extended by the transmitter's configuration using intelligent monitoring, computer vision recognition and wireless communication technology to obtain the three-dimensional space configuration.

[0058] Step 2: Based on the three-dimensional spatial configuration and fixed reference points, a global spatial coordinate system of the monitoring area is constructed.

[0059] The constructed three-dimensional spatial configuration is described in a global spatial coordinate system. When displacement is detected, the global spatial coordinate system will provide a benchmark for multi-view spatial cross-positioning calculations.

[0060] Step 3: Select the first monitoring point and construct a two-dimensional plane coordinate system No. 1 based on the perspective of the first monitoring point.

[0061] Using the fixed reference point of the global space coordinate system as a reference, a two-dimensional plane coordinate system No. 1 for single-view observation is established. Although multiple transmitters are deployed within the area, the three-dimensional spatial configuration and its mapping intersections are not limited to the limited monitoring view angle. Therefore, a rectangular coordinate system based on the monitoring view angle is required for calculation and judgment.

[0062] Step 4: Project the three-dimensional space configuration into the No. 1 two-dimensional plane coordinate system.

[0063] The projection image of the ray in the 2D plane coordinate system 1 can have multiple intersection points. For the ray projected in the plane coordinate system, the corresponding line equation and intersection coordinate information are saved as data to serve as the basis for judging whether the intersection point and ray have changed.

[0064] Step 5: Determine whether the intersection of the rays in the 2D plane coordinate system No. 1 has changed. If all the intersections have not changed, no operation is performed. If any of the intersections has changed, execute step 6.

[0065] If there is no geological deformation in the monitoring area, the intersection points in the plane coordinate system are stable and static. Rays that do not actually intersect in space will project onto the plane at multiple straight line intersections. If an intersection moves, it indicates that geological movement may have occurred at the transmitter's location. The next step is to determine the displacement of the moved rays.

[0066] Step 6: Perform cross-positioning calculation on the changed intersection points to obtain the transmitter displacement information and the angle change of the ray.

[0067] The cross-positioning calculation refers to the cross-positioning calculation of multiple monitoring perspectives, and the specific steps are as follows:

[0068] Step 6.1, select the second monitoring point and construct a two-dimensional plane coordinate system No. 2 based on the perspective of the second monitoring point;

[0069] Step 6.2, project the changed intersection points and associated rays in the two-dimensional plane coordinate system No. 1 to the two-dimensional plane coordinate system No. 2;

[0070] Step 6.3, repeating steps 6.1 to 6.3, selecting at least two monitoring points including the first monitoring point and the second monitoring point, and then constructing at least two two-dimensional plane coordinate systems including the first two-dimensional plane coordinate system and the second two-dimensional plane coordinate system;

[0071] Step 6.4: Based on at least two two-dimensional plane coordinate systems in step 6.3, first determine the spatial displacement coordinates of the intersection point, and then infer and calculate the spatial displacement of the ray. According to the global coordinate information of the initial spatial configuration and the current displacement information, calculate the spatial coordinate variables of the ray displacement, and determine the displacement information of the emitter and the angle change of the ray in the global spatial coordinate system.

[0072] During the implementation process, cross-positioning calculations are performed on all changed intersections in the No. 1 two-dimensional plane coordinate system to obtain the transmitter displacement information and ray angle changes in the global space coordinate system for cross-verification.

[0073] Furthermore, it also includes step 7, determining the area where geological deformation occurs based on the transmitter displacement information and ray angle changes obtained from all changed intersections, and judging whether the preset threshold is reached based on the degree of deformation. If so, a geological disaster warning is issued.

[0074] The present invention also provides a large-scale non-contact geological deformation monitoring system, comprising:

[0075] A three-dimensional spatial configuration building module is used to arrange the transmitter array in the monitoring area to build a three-dimensional spatial configuration;

[0076] A global space coordinate system construction module, used to construct a global space coordinate system of the monitoring area based on the three-dimensional space configuration;

[0077] A two-dimensional plane coordinate system construction module is used to select a first monitoring point and construct a No. 1 two-dimensional plane coordinate system based on the perspective of the first monitoring point;

[0078] A projection module, configured to project the three-dimensional spatial configuration into a two-dimensional plane coordinate system No. 1;

[0079] The judgment module is used to judge whether the ray intersection point in the No. 1 two-dimensional plane coordinate system has undergone displacement changes. If no displacement changes, no operation is performed. If displacement changes, the geological deformation parameter determination module is executed.

[0080] The geological deformation parameter determination module is used to perform cross-positioning calculations on the changed intersection points and obtain the transmitter displacement information and the angle change of the ray.

[0081] In another embodiment, the present invention further provides a computer storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of a large-scale non-contact geological deformation monitoring method as described above are implemented.

[0082] Specific embodiments are listed below to fully understand the present invention:

[0083] Step 1: Arrange a two-dimensional array of infrared emitters and construct a three-dimensional spatial configuration. Ten infrared emitters are arranged at different locations and angles within the potential geological hazard area to form a two-dimensional array of infrared emitters (see Figure 1(a)). Within the corresponding space, there are ten infrared rays or rays extended by the emitter configuration (see Figure 1(b)).

[0084] Step 2: Establish a two-dimensional rectangular coordinate system based on the monitoring perspective, which is recorded as the No. 1 two-dimensional plane coordinate system, such as Figure 2 Shown by the black perpendicular lines.

[0085] Step 3: Display the intersection points of the straight lines in the two-dimensional plane based on the monitoring perspective. Project the three-dimensional ray in step 1 to the rectangular coordinate system established in step 2, and you will get Figure 3 The planes are mapped as shown, and there are plane intersection points.

[0086] In the absence of disaster threats, the intersection points in the plane tend to be stable. If a certain intersection point changes, the corresponding straight line equation will change, reflecting that there is geological movement at the location of the infrared emitter and the possibility of geological disasters. Save the coordinate position of the plane intersection point and the straight line equation information where the ray is located, such as Figure 4 As shown, this is used as the basis for determining the movement changes of the intersection.

[0087] Step 4: Determine the range of ray movement. In this embodiment, the number of infrared emitters is reduced to two, and there are two different rays as monitored objects, such as Figure 5 shown.

[0088] Step 5: Determine the range of intersection. The two rays mentioned above change in space. Map the two rays in space to the No. 1 two-dimensional plane coordinate system based on the monitoring view established in step 2. Then there are intersections such as Figure 6 shown.

[0089] Step 6: Analyze the movement of the intersection. In this embodiment, the change of the intersection is as follows: Figure 7 shown.

[0090] The two rays are defined by two plane coordinate systems with different perspectives, such as Figure 7 As shown, from the perspective of the black intersecting perpendicular line in 2D coordinate system 1, the intersection point changes from the original ray intersection point to a green point. In 2D coordinate system 1, only the change in the intersection point within the plane can be observed, and the depth information in actual 3D space cannot be determined. Therefore, to determine the changed ray situation, another 2D coordinate system based on the monitoring perspective is required to determine the depth information.

[0091] Step 7: Establish a two-dimensional coordinate system (two-dimensional plane coordinate system No. 2) based on the second monitoring perspective to determine the final ray situation after the change. Establish two-dimensional plane coordinate system No. 2 from another plane, such as Figure 8 Shown as the blue intersecting lines.

[0092] The ray changes in space are projected onto the 2D plane coordinate system as follows Figure 9 As shown, the red line is the mapping of the original ray in the two-dimensional plane coordinate system No. 2, and the green line is the projection of the changing green point observed in the two-dimensional plane coordinate system No. 1 in the two-dimensional plane coordinate system No. 2.

[0093] By observing the No. 2 two-dimensional plane coordinate system, the changed ray shape and depth information are finally obtained, such as Figure 10 As shown, the degree to which the infrared emitter deviates from the original position is determined.

[0094] After the change, ray 1 deviates from the initial infrared emitter No. 1 by approximately 64.77 degrees, and is approximately 149.85 units deep from the initial position; ray 2 deviates from the initial infrared emitter No. 2 by approximately 136.34 degrees, and is approximately 138.62 units deep from the initial position.

[0095] The technical solution mentioned in the present invention will eliminate the interference caused by the surface, complex near-ground environment and mountain obstruction as much as possible in the hardware layout, provide better data resources for visual recognition and image processing, and finally determine the changes in geological deformation by gradually narrowing the solution set of the ray change range. By judging the changed ray position and deviation degree, cross-calculation and comprehensive judgment, the potential geological disaster situation can be analyzed and processed to determine whether the alarm level is reached.

[0096] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same and similar parts between the various embodiments can be referred to each other. The above description of the disclosed embodiments enables professionals and technicians in this field to implement or use the present invention. Various modifications to these embodiments will be apparent to professionals and technicians in this field, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A large-scale non-contact geological deformation monitoring method, characterized in that: The following steps are involved: Arrange the transmitter array in the monitoring area to build a three-dimensional spatial configuration; Based on the three-dimensional spatial configuration, a global spatial coordinate system of the monitoring area is constructed; Select the first monitoring point and construct a two-dimensional plane coordinate system No. 1 based on the perspective of the first monitoring point; Projecting the three-dimensional spatial configuration into a two-dimensional plane coordinate system No. 1; Determine whether the ray intersection point in the 2D plane coordinate system 1 has changed in displacement. If not, do not perform any operation. If so, proceed to the next step. Perform cross positioning calculation on the changed intersection points to obtain the transmitter displacement information and the angle change of the ray.

2. A large-scale non-contact geological deformation monitoring method according to claim 1, characterized in that: The emitters in the emitter array are infrared emitters.

3. A large-scale non-contact geological deformation monitoring method according to claim 1, characterized in that: The emitter array refers to an infrared emitter array having specific identification characteristics and configuration; The specific identification features and configurations refer to: mathematical geometric shapes, including circles, triangles, quadrilaterals, octagons and their superimposed structures.

4. A large-scale non-contact geological deformation monitoring method according to claim 1, characterized in that: The construction of the three-dimensional space configuration specifically refers to capturing the spatial configuration of the air rays directly radiated by the transmitter or the virtual space rays extended by the transmitter's configuration using intelligent monitoring, computer vision recognition and wireless communication technology to obtain the three-dimensional space configuration.

5. The large-scale non-contact geological deformation monitoring method according to claim 1 is characterized in that: When determining whether the ray intersection point changes, the number of the intersection point is at least one. When any intersection point changes, the next step is executed.

6. A large-scale non-contact geological deformation monitoring method according to claim 1, characterized in that: The cross-positioning calculation refers to the cross-positioning calculation of multiple monitoring perspectives, and the specific steps are as follows: Step 6.1, select the second monitoring point and construct a two-dimensional plane coordinate system No. 2 based on the perspective of the second monitoring point; Step 6.2, project the changed intersection points and associated rays in the two-dimensional plane coordinate system No. 1 to the two-dimensional plane coordinate system No. 2; Step 6.3, repeating steps 6.1 to 6.3, selecting at least two monitoring points including the first monitoring point and the second monitoring point, and then constructing at least two two-dimensional plane coordinate systems including the first two-dimensional plane coordinate system and the second two-dimensional plane coordinate system; Step 6.4: Based on the at least two two-dimensional plane coordinate systems in step 6.3, determine the displacement information of the emitter and the angle change of the ray in the global space coordinate system through the intersection points and associated rays in each two-dimensional plane coordinate system.

7. The large-scale non-contact geological deformation monitoring method according to claim 1, characterized in that: Cross-positioning calculations are performed on all changed intersections in the No. 1 two-dimensional plane coordinate system to obtain the emitter displacement information and ray angle changes in the global space coordinate system for cross-validation.

8. The large-scale non-contact geological deformation monitoring method according to claim 6, characterized in that: Based on the transmitter displacement information and ray angle changes obtained from all the changed intersections, the area where geological deformation occurs is determined, and the degree of deformation is judged to see whether it reaches the preset threshold. If so, a geological disaster warning is issued.

9. A large-scale non-contact geological deformation monitoring system, characterized in that: include: A three-dimensional spatial configuration building module is used to arrange the transmitter array in the monitoring area to build a three-dimensional spatial configuration; A global space coordinate system construction module, used to construct a global space coordinate system of the monitoring area based on the three-dimensional space configuration; A two-dimensional plane coordinate system construction module is used to select a first monitoring point and construct a No. 1 two-dimensional plane coordinate system based on the perspective of the first monitoring point; A projection module, configured to project the three-dimensional spatial configuration into a two-dimensional plane coordinate system No. 1; The judgment module is used to judge whether the ray intersection point in the No. 1 two-dimensional plane coordinate system has undergone displacement changes. If no displacement changes, no operation is performed. If displacement changes, the geological deformation parameter determination module is executed. The geological deformation parameter determination module is used to perform cross-positioning calculations on the changed intersection points and obtain the transmitter displacement information and the angle change of the ray.

10. A computer storage medium, characterized in that The computer storage medium stores a computer program, which, when executed by a processor, implements the steps of a large-scale non-contact geological deformation monitoring method as claimed in any one of claims 1 to 8.

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