Risk monitoring method based on construction of seismic monitoring project

Abstract

The present application relates to the technical field of image processing, in particular to a risk monitoring method based on seismic monitoring project construction, comprising the following steps: step one: obtaining the overhead image in the construction area and combining the construction area plan to construct the positioning reference map, the positioning reference map comprising multiple key areas, multiple operation influence areas and multiple identification positioning anchor points; obtaining multiple monitoring images in the construction area, and determining the key areas and operation influence areas in the monitoring images; step two: identifying the influence equipment in the operation influence area based on the monitoring images, recording the moving track of the influence equipment and generating the corresponding interference area; step three: obtaining the interference area generated by all the monitoring images in the construction area as the construction interference area, when any one key area interferes with the construction interference area, the corresponding monitoring equipment is marked as the to-be-corrected state, and the monitoring equipment in the to-be-corrected state is inspected and calibrated after the construction is completed.

Description

Technical Field

[0001] This invention relates to the field of image processing technology, and more specifically to a risk monitoring method based on the construction of earthquake monitoring projects. Background Technology

[0002] Seismic monitoring stations are permanent or semi-permanent observation systems built to capture, record, and analyze signals of crustal movement. Their core function is to continuously acquire changes in physical parameters such as surface vibration, deformation, and underground fluids through a network of highly sensitive sensors. These facilities typically consist of three key units: field observation arrays, data transmission networks, and data processing centers. Their construction must meet specific requirements such as millimeter-level installation accuracy, nanometer-level vibration detection capabilities, and electromagnetic shielding, aiming to achieve earthquake precursor identification, source parameter analysis, and disaster early warning, providing fundamental data support for earthquake prevention and mitigation and Earth science research.

[0003] With the advancement and development of technology, it is inevitable to update and iterate monitoring equipment and upgrade infrastructure. During the construction of earthquake monitoring equipment and facilities upgrades, various operations may interfere with and affect existing equipment, especially excavation and destructive operations. Affected monitoring equipment needs to be calibrated or reinstalled, but current technologies make it difficult to quickly identify the interfered equipment, resulting in the inability to conduct targeted inspection and calibration, thus affecting the overall construction efficiency. Summary of the Invention

[0004] In view of the above-mentioned shortcomings of the existing technology, the present invention provides a risk monitoring method based on the construction of earthquake monitoring projects, which can effectively solve the problem that it is difficult to identify the interference risks to existing equipment and facilities caused by the renovation and upgrading construction process of earthquake monitoring projects.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] This invention provides a risk monitoring method based on the construction of earthquake monitoring projects, comprising at least the following steps:

[0007] Step 1: Obtain aerial images of the construction area and construct a positioning reference map by combining them with the construction area plan. The positioning reference map contains multiple key areas, multiple operation impact areas, and multiple identification positioning anchor points. Key areas represent the areas where the monitoring equipment is located, and operation impact areas represent the areas where the construction operation will affect the monitoring equipment.

[0008] Multiple monitoring images of the construction area are acquired. Based on the coordinates of the same identification and positioning anchor point in the monitoring images and the positioning reference map, a planar coordinate mapping relationship is constructed in combination with the equipment parameters of the monitoring images themselves. The key areas and operation impact areas in the monitoring images are determined according to the planar coordinate mapping relationship.

[0009] Step 2: Record the construction equipment that will affect the surrounding monitoring equipment during construction operations as the affected equipment, and analyze and determine the scope of the affected equipment's impact;

[0010] Based on the monitoring images, the affected equipment within the operation's impact area is identified, the movement trajectory of the affected equipment is recorded, and the corresponding interference area is generated;

[0011] Step 3: Obtain all interference areas generated by monitoring images within the construction area and uniformly record them as construction interference areas. When any key area interferes with the construction interference area, mark the monitoring equipment corresponding to the key area as a state to be calibrated. After the construction is completed, inspect and calibrate the monitoring equipment in the state to be calibrated.

[0012] Furthermore, the process for delineating the impact zone of the operation is as follows:

[0013] Based on the architectural construction drawings, multiple work areas are divided in the construction area. The work areas correspond to the building outline in the architectural construction drawings and have a preset range influence value. The area around the work area with a width equal to the range influence value is recorded as the adjacent area.

[0014] Obtain multiple vehicle access areas within the construction area, including vehicle parking areas. The vehicle access areas, adjacent areas, and work areas are collectively referred to as the work impact area.

[0015] Furthermore, the process of obtaining the planar coordinate mapping relationship is as follows:

[0016] Draw the equipment installation areas corresponding to multiple existing monitoring devices on the plan, construct the smallest rectangle containing the monitoring device installation areas and mark it as the critical area, and draw the corresponding operation impact area on the plan based on the building construction drawings;

[0017] Overlay the plan view of the construction area with the aerial image, and draw the key areas and the areas affected by the operation in the aerial image;

[0018] A two-dimensional rectangular coordinate system is constructed in the overhead image, and multiple reference objects are identified as positioning anchor points to obtain the positioning reference map;

[0019] The coordinates of the anchor points in the positioning reference map are used as the actual coordinates. A two-dimensional rectangular coordinate system is constructed for each monitoring image. The coordinates of the anchor points in the monitoring image are used as the image coordinates. Based on the image coordinates and corresponding actual coordinates of multiple anchor points in the same monitoring image, a planar coordinate mapping relationship is constructed.

[0020] Furthermore, the positioning anchor point satisfies the following conditions:

[0021] Condition 1: The horizontal height is consistent between different positioning anchor points;

[0022] Condition 2: Each surveillance image must contain at least four distinct location anchor points;

[0023] Condition 3: The location anchor points in each monitoring image can be identified by an image recognition algorithm.

[0024] Furthermore, the process for determining key areas and areas affected by the operation in each monitoring image is as follows:

[0025] Key areas and areas affected by the operation are identified in the overhead images and collectively designated as areas to be determined. Each area to be determined is then analyzed independently.

[0026] Multiple boundary points of the region to be determined are identified and each boundary point is assigned a connection number. A connection sequence corresponding to the region to be determined is constructed. By connecting the boundary points in the same connection sequence in sequence, a closed contour corresponding to the region to be determined can be formed.

[0027] Obtain the actual coordinates of each boundary point and determine the corresponding image coordinates of each boundary point based on the planar coordinate mapping relationship f. Draw the corresponding points in the monitoring image according to the image coordinates of each boundary point and record them as boundary positioning points. Connect multiple boundary positioning points in sequence according to the connection order corresponding to the connection sequence to obtain the region outline corresponding to the region to be determined in the monitoring image.

[0028] Furthermore, the following factors affect the equipment calibration process:

[0029] P1: Construction equipment is divided into mobile equipment and fixed equipment. Mobile equipment refers to construction equipment that remains mobile during operation, while fixed equipment refers to construction equipment that remains stationary during operation.

[0030] P2: When the construction equipment is a mobile operating equipment, multiple vibration sensors are set on the moving path of the mobile operating equipment. The multiple vibration sensors are set at the same horizontal height and form a vibration detection array.

[0031] When the mobile operating equipment moves along the moving path under full load, the vibration velocity measured by each vibration sensor in the vibration detection array is obtained multiple times to obtain the vibration velocity matrix. The vibration velocity matrix with the largest sum of values ​​is selected and recorded as the target vibration matrix.

[0032] P3: Determine the vibration impact threshold based on the anti-interference data of the monitoring equipment in the construction area, and extract an n*m impact matrix from the target vibration matrix according to the vibration impact threshold;

[0033] Based on the data distribution within the influence matrix, a corresponding influence range rectangle is constructed for the influence matrix. The influence range rectangle is used to represent the specific range of the impact that construction equipment has on surrounding monitoring equipment during operation. The influence range rectangle is then bound to the projection outline of the mobile operation equipment.

[0034] P4: When the construction equipment is a fixed operation equipment, a vibration detection array is set up around the fixed operation equipment and the vibration detection array is measured. The influence matrix is ​​obtained by truncating the vibration detection array and constructing the influence range rectangle corresponding to the projected outline of the fixed operation equipment.

[0035] P5: When the rectangle of the affected area covers the projected outline of the construction equipment, the construction equipment is marked as the affected equipment, and the corresponding rectangle of the affected area is bound to the construction equipment and recorded as the interference range.

[0036] Furthermore, the influence matrix satisfies the following condition:

[0037] Condition A: The proportion of vibration velocities in the influence matrix that are greater than or equal to a preset vibration influence threshold is greater than a preset proportion threshold;

[0038] Condition B: The influence matrix is ​​the smallest matrix that satisfies condition A.

[0039] Furthermore, the equipment interference range analysis process is as follows:

[0040] S1: Analyze each monitoring image independently and record the analyzed monitoring image as the target image;

[0041] S2: A pre-set device image database corresponding to the affected devices is provided. The device image database contains multiple appearance images of the affected devices. A device visual recognition model is constructed based on the appearance images in the device image database and combined with image recognition algorithms.

[0042] S3: Based on the visual recognition model, identify the influencing devices in the target image, mark the projection contours and influence range rectangles corresponding to the influencing devices in the image, continuously acquire the target image and record the movement of the influence range rectangles, and record the area traversed by the influence range rectangles as the interference area.

[0043] Furthermore, the vibration impact threshold is calculated as follows:

[0044] To obtain the anti-interference distance and minimum vibration interference velocity of any monitoring device within the construction area, use the formula... Calculate the interference impact value corresponding to any monitoring device. The minimum value among multiple interference influence values ​​is selected as the vibration influence threshold, where:

[0045] e is a natural constant;

[0046] The minimum vibration disturbance velocity for monitoring equipment;

[0047] R represents the anti-interference distance of the monitoring equipment;

[0048] This is the preset soil attenuation coefficient;

[0049] This is the preset distance reference value.

[0050] Furthermore, the process of constructing the influence range matrix is ​​as follows:

[0051] The minimum value in the influence matrix is ​​denoted as the minimum influence value.

[0052] When the minimum impact value is less than or equal to the vibration impact threshold, the distance between adjacent vibration sensors is obtained. Let the lengths of the two sides of the influence range rectangle be (n-1)*d and (m-1)*d, respectively, where d represents the distance between adjacent vibration sensors.

[0053] When the minimum impact value is greater than the vibration impact threshold, the maximum value of the edge values ​​(i.e., the values ​​located around the outer ring of the matrix) in the impact matrix is ​​recorded as the edge diffusion value. Substitute into the formula The side length expansion value L is obtained by solving the equation. Let the two side lengths of the rectangle in the affected area be (n-1)*d+2*L and (m-1)*d+2*L, respectively.

[0054] The technical solution provided by this invention has the following advantages compared with the known prior art:

[0055] This invention constructs a positioning reference map to delineate key areas and operational impact areas within the construction area. These areas represent the location of monitoring equipment and areas that may affect the monitoring equipment, respectively. This allows for the identification and analysis of construction equipment within the operational impact area, screening out equipment that may cause interference and determining the corresponding impact range. By continuously recording the movement trajectory of the impacting equipment in the monitoring images, the area where the interference is ultimately caused can be clearly delineated. This range helps staff determine which monitoring equipment was affected by construction equipment throughout the construction process, thus identifying which monitoring equipment requires corresponding parameter calibration to ensure normal monitoring after construction is completed and to avoid the risk of data contamination caused by the construction project. Attached Figure Description

[0056] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0057] Figure 1 This is a diagram illustrating the method steps of the present invention. Detailed Implementation

[0058] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0059] The present invention will be further described below with reference to embodiments.

[0060] See Figure 1 The risk monitoring method based on the construction of earthquake monitoring projects shall include at least the following steps:

[0061] Step 1: The entire area corresponding to the construction site is designated as the construction area. Multiple cameras are set up within the construction site to obtain multiple monitoring images within the construction area. These multiple monitoring images cover the construction area. A drone is used to capture aerial images of the construction area, which are then combined with a plan view of the construction area to construct a positioning reference map.

[0062] The positioning reference map contains multiple key areas, multiple operation impact areas, and multiple identification positioning anchors. Key areas correspond to the areas where existing monitoring equipment is located. Operation impact areas are areas where construction operations may affect the monitoring equipment. Identification positioning anchors are used to locate the areas corresponding to different monitoring images in the plan view. The key areas and operation impact areas in each monitoring image are determined by the identification positioning anchors in different monitoring images.

[0063] It should be noted that not all areas within the construction zone deserve special attention, especially some areas that are included in the construction zone but have no operational activities. Since these areas do not involve deep operations (such as excavation, crushing, compaction, etc.), they will not affect the existing monitoring equipment and are usually excluded from the analysis first to optimize the efficiency of area identification.

[0064] The process for delineating the impact area of ​​the operation is as follows:

[0065] Based on the architectural construction drawings, multiple work areas are divided in the construction area. The work area corresponds to the building outline in the architectural construction drawings (i.e., the closed outline clearly marked in the drawings, such as the outline of the foundation pit). A range influence value is preset (in a specific embodiment, the value is 11 meters, depending on the length of the engineering dump truck). The area around the work area with a width equal to the range influence value is recorded as the adjacent area.

[0066] Obtain multiple vehicle access areas within the construction area, including vehicle parking areas. The vehicle access areas, adjacent areas, and work areas are collectively referred to as the work impact area.

[0067] Adjacent areas refer to those areas located around the work area where construction machinery inevitably moves during construction operations. In other words, when construction work is carried out in the work area, construction vehicles and equipment need to be placed or parked in adjacent areas, which will also affect the surrounding monitoring equipment.

[0068] By identifying the area affected by the operation, the scope of identification within the construction area is narrowed, thereby optimizing identification efficiency. Precise analysis is then performed on the selected area to identify potential interference effects.

[0069] More specifically, the process of obtaining the positioning reference map is as follows:

[0070] Draw the equipment installation areas corresponding to multiple existing monitoring devices on the plan, construct the smallest rectangle containing the monitoring device installation areas and mark it as the critical area, and draw the corresponding operation impact area on the plan based on the building construction drawings;

[0071] By superimposing the plan view and the aerial image within the construction area, the key areas and the areas affected by the operation in the aerial image can be drawn. By superimposing the plan view and the aerial image within the construction area, the corresponding operation area and the installation area of ​​the monitoring facilities in the aerial image can be determined. These areas are usually difficult to identify directly through visual recognition technology, especially areas that have not yet been constructed, such as unexcavated foundation pits. Therefore, it is necessary to use architectural construction drawings in conjunction with the plan view to divide the area in order to clearly obtain the corresponding areas in the aerial image.

[0072] It should be noted that the plan is a map of the construction area, which clearly marks the shape and name of each facility. The plan can be used to determine the area occupied by each existing facility and mark it in the aerial image.

[0073] Construct a two-dimensional rectangular coordinate system in the overhead image, and determine multiple reference objects in the overhead image as positioning anchor points. The positioning anchor points satisfy the following conditions:

[0074] Condition 1: The horizontal height is consistent between different positioning anchor points;

[0075] Condition 2: Each surveillance image must contain at least four distinct location anchor points;

[0076] Condition 3: The location anchor points in each monitoring image can be identified by an image recognition algorithm.

[0077] Condition 1 is to ensure that the positioning anchor points are on the same plane to facilitate two-dimensional coordinate transformation; Condition 2 is to ensure that there are multiple reference points in the same monitoring image to determine the corresponding coordinate mapping relationship; Condition 3 is to ensure that the positioning anchor points can be identified and located in the monitoring image.

[0078] Using the coordinates of the anchor points in the overhead image as the actual coordinates, a two-dimensional rectangular coordinate system is constructed for each monitoring image. The coordinates of the anchor points in the monitoring image are used as image coordinates. Based on the image coordinates and corresponding actual coordinates of multiple anchor points in the same monitoring image, a planar coordinate mapping relationship f is constructed. Through the planar coordinate mapping relationship f, the actual coordinates of any point in the monitoring image corresponding to the overhead image can be determined. Conversely, the image coordinates of any point in the overhead image can be determined based on the actual coordinates of the point in the overhead image. Based on the planar coordinate mapping relationship f, the key areas and operation impact areas in each monitoring image are determined.

[0079] It should be noted that performing planar coordinate transformation on the image captured by a monocular camera (that is, converting a coordinate point in the camera's image into coordinates on a planar map) is an existing technology. The main steps include: 1. Performing camera calibration to obtain the camera's intrinsic parameter matrix; 2. Establishing a horizontal coordinate system in the real scene; 3. Calibrating the camera position using the coordinates of four points in the captured image; 4. Constructing a rotation matrix R and a translation matrix of the camera relative to the actual coordinates based on the coordinates of the four points; 5. The actual coordinates of any point in the image captured by the camera can be solved using the rotation and translation matrices. The specific implementation steps will not be elaborated further here.

[0080] The process for determining the key areas and the areas affected by the operation in each monitoring image is as follows:

[0081] Key areas and areas affected by the operation are identified in the overhead images and collectively designated as areas to be determined. Each area to be determined is then analyzed independently.

[0082] Multiple boundary points of the region to be determined are identified and each boundary point is assigned a connection number. A connection sequence corresponding to the region to be determined is constructed. By connecting the boundary points in the same connection sequence in sequence, a closed contour corresponding to the region to be determined can be formed.

[0083] Obtain the actual coordinates of each boundary point and determine the corresponding image coordinates of each boundary point based on the planar coordinate mapping relationship f. Draw the corresponding points in the monitoring image according to the image coordinates of each boundary point and record them as boundary positioning points. Connect multiple boundary positioning points in sequence according to the connection order corresponding to the connection sequence to obtain the region outline corresponding to the region to be determined in the monitoring image.

[0084] Step 2: Identify interference behaviors within the operation's affected area based on multiple monitoring images, analyze and calculate the impact range corresponding to different interference behaviors, and combine multiple impact ranges for overlap analysis to determine the equipment interference range.

[0085] Specifically, the analysis process for the interference area affecting the equipment is as follows:

[0086] S1: Analyze each monitoring image independently and record the analyzed monitoring image as the target image;

[0087] S2: Analyze the vibration impact of construction equipment during operation and screen out the equipment that will interfere with the surrounding monitoring equipment during operation. There is a pre-set equipment image database containing multiple appearance images of the affected equipment. Based on the appearance images in the equipment image database and combined with image recognition algorithms, a visual recognition model of the equipment is constructed. The visual recognition model of the equipment can identify the affected equipment in the target image.

[0088] More specifically, the following factors affect the equipment calibration process (P1-P4):

[0089] P1: Construction equipment is divided into mobile equipment and stationary equipment. Mobile equipment refers to construction equipment that remains mobile during operation, such as road rollers, bulldozers, and dump trucks. Stationary equipment refers to construction equipment that remains stationary during operation, such as pile drivers, mixers, and dynamic compaction machines. For construction equipment that repeatedly switches between stationary and mobile states during operation, such as excavators, the determination is based on the state when it is at maximum power output.

[0090] P2: When the construction equipment is a mobile operating equipment, multiple vibration sensors are set on the moving path of the mobile operating equipment. The multiple vibration sensors are set at the same horizontal height and form a vibration detection array. The vibration detection array is a rectangular array and is distributed along the moving path of the construction equipment. The distance between adjacent vibration sensors is fixed. When the mobile operating equipment moves along the moving path under full load, the vibration velocity measured by each vibration sensor in the vibration detection array is obtained multiple times to obtain the vibration velocity matrix. The vibration velocity matrix with the largest sum of values ​​is selected and recorded as the target vibration matrix.

[0091] P3: Determine the vibration impact threshold based on the anti-interference data of monitoring equipment within the construction area. Then, extract an n*m impact matrix from the target vibration matrix based on the vibration impact threshold. The impact matrix must satisfy the following conditions:

[0092] Condition A: The proportion of vibration velocities in the influence matrix that are greater than or equal to a preset vibration influence threshold is greater than a preset proportion threshold (in a specific embodiment, the proportion threshold is equal to 90%).

[0093] Condition B: The influence matrix is ​​the smallest matrix that satisfies condition A.

[0094] It should be noted that the influence matrix represents the effective numerical matrix in the target vibration matrix. Vibration velocity values ​​outside the range of the influence matrix are usually not affected by the vibration influence threshold and can be ignored. By truncating the influence matrix, the range of effective values ​​can be limited, which facilitates the determination of the influence range of construction equipment in subsequent processes.

[0095] Furthermore, the vibration impact threshold calculation process is as follows:

[0096] Obtain the anti-interference distance (i.e., the minimum distance between the monitoring equipment and its protective fence) and minimum vibration interference velocity (i.e., the minimum vibration velocity that would interfere with the parameters of the monitoring equipment, such as causing the equipment's installation position to shift or the mounting bolts to loosen) for any monitoring device within the construction area, using the formula... Calculate the interference impact value corresponding to any monitoring device. The minimum value among multiple interference influence values ​​is selected as the vibration influence threshold, where:

[0097] e is a natural constant;

[0098] The minimum vibration disturbance velocity for monitoring equipment;

[0099] R represents the anti-interference distance of the monitoring equipment;

[0100] The preset soil attenuation coefficient (representing the attenuation coefficient of vibration waves in the soil within the construction area, measured by staff, in units of...) );

[0101] The preset distance reference value (in a specific embodiment, the value is 1m);

[0102] It should be noted that the vibration impact threshold represents the minimum vibration velocity that will cause data interference to any monitoring device in the construction area, provided that the vibration velocity measurement location is located at the edge of the monitoring device's fence. When the vibration velocities in the impact matrix are all greater than the vibration impact threshold, the rectangular area corresponding to the impact matrix will cause data interference and affect the operating parameters of the monitoring device when it passes around the corresponding monitoring device.

[0103] The formula for calculating the interference impact value is derived from the formula for the propagation and attenuation of vibration velocity in soil. The formula for the propagation and attenuation of vibration velocity that includes the soil attenuation coefficient is existing technology and will not be elaborated on here.

[0104] Based on the data distribution within the influence matrix, a corresponding influence range rectangle is constructed for the influence matrix. The influence range rectangle is used to represent the specific range of the impact that construction equipment has on surrounding monitoring equipment during operation.

[0105] The process of constructing the influence range matrix is ​​as follows:

[0106] The minimum value in the influence matrix is ​​denoted as the minimum influence value.

[0107] When the minimum impact value is less than or equal to the vibration impact threshold, the distance between adjacent vibration sensors is obtained. Let the lengths of the two sides of the influence range rectangle be (n-1)*d and (m-1)*d, respectively, where d represents the distance between adjacent vibration sensors.

[0108] When the minimum impact value is greater than the vibration impact threshold, the maximum value of the edge values ​​(i.e., the values ​​located around the outer ring of the matrix) in the impact matrix is ​​recorded as the edge diffusion value. Substitute into the formula The side length expansion value L is obtained by solving the equation. Let the two side lengths of the rectangle in the affected area be (n-1)*d+2*L and (m-1)*d+2*L, respectively.

[0109] Bind the rectangle of influence area to the projection outline of the mobile work equipment to obtain the rectangle of influence area corresponding to the projection outline of the mobile work equipment;

[0110] It should be noted that the binding of the projected outline of the mobile work equipment and the rectangle of the area of ​​influence is based on the overlapping position relationship between the two at the same moment. In other words, when the data of the vibration sensor is recorded, the projected outline of the current mobile work equipment will be recorded simultaneously.

[0111] P4: Similarly, when the construction equipment is a fixed operation equipment, a vibration detection array is set up around the fixed operation equipment and the vibration detection array is measured. The influence matrix is ​​obtained by truncating the vibration detection array and constructing the influence range rectangle corresponding to the projected outline of the fixed operation equipment.

[0112] P5: When the rectangle of the affected area covers the projected outline of the construction equipment, the construction equipment is marked as the affected equipment, and the corresponding rectangle of the affected area is bound to the construction equipment and recorded as the interference range. By filtering the affected equipment, construction equipment that will not cause interference to the monitoring equipment is eliminated. When these devices are used, they will only cause vibration interference to a small part of the bottom area. The monitoring equipment is usually blocked by fences, so these devices will not interfere with the operation of the monitoring equipment and can be excluded from the monitoring range.

[0113] S3: Based on the visual recognition model, identify the influencing devices in the target image, mark the projection contours and influence range rectangles corresponding to the influencing devices in the image, continuously acquire the target image and record the movement of the influence range rectangle, and record the area traversed by the influence range rectangle as the interference area.

[0114] Step 3: Acquire all monitoring images recorded in the construction area during the construction process, and draw all interference areas on the plan based on all monitoring images and uniformly record them as construction interference areas. When any key area interferes with the construction interference area, mark the monitoring equipment corresponding to the key area as a state to be calibrated. After the construction is completed, inspect and calibrate the monitoring equipment in the state to be calibrated.

[0115] This invention constructs a positioning reference map to delineate key areas and operational impact areas within the construction area. These areas represent the location of monitoring equipment and areas that may affect the monitoring equipment, respectively. This allows for the identification and analysis of construction equipment within the operational impact area, screening out equipment that may cause interference and determining the corresponding impact range. By continuously recording the movement trajectory of the impacting equipment in the monitoring images, the area where the interference is ultimately caused can be clearly delineated. This range helps staff determine which monitoring equipment was affected by construction equipment throughout the construction process, thus identifying which monitoring equipment requires corresponding parameter calibration to ensure normal monitoring after construction is completed and to avoid the risk of data contamination caused by the construction project.

[0116] A computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps in the above method.

[0117] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the above method.

[0118] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the protection scope of the technical solutions of the embodiments of the present invention.

Claims

1. A risk monitoring method based on the construction of a seismic monitoring project, characterized in that, The method comprises the following steps: Step 1: Obtain the overhead image in the construction area and combine the construction area plan to construct a positioning reference map, which contains multiple key areas, multiple work influence areas and multiple identification positioning anchor points. The key area represents the area where the monitoring device is located, and the work influence area represents the area where the construction work will have an impact on the monitoring device. Obtain multiple monitoring images in the construction area, and based on the coordinates of the same identification positioning anchor point in the monitoring image and the positioning reference map, combine the device parameters of the monitoring image itself to construct a plane coordinate mapping relationship, and determine the key area and work influence area in the monitoring image according to the plane coordinate mapping relationship. Step 2: Record the construction equipment that will have an impact on the surrounding monitoring equipment during construction as the impact equipment, and analyze and determine the impact range of the impact equipment. Identify the impact equipment in the work influence area based on the monitoring image, record the moving track of the impact equipment and generate the corresponding interference area. Step 3: Obtain the interference area generated by all monitoring images in the construction area and uniformly record it as the construction interference area. When any key area is interfered with the construction interference area, the monitoring device corresponding to the key area is marked as a to-be-corrected state. After the construction is completed, the monitoring device in the to-be-corrected state is inspected and calibrated.

2. The risk monitoring method based on the construction of a seismic monitoring project according to claim 1, characterized in that, The work influence area demarcation process is as follows: Based on the building construction drawing, multiple work areas are divided in the construction area. The work area corresponds to the building contour in the building construction drawing. A range influence value is preset. The area with a width of the range influence value around the work area is recorded as the adjacent area. Obtain multiple vehicle passing areas in the construction area. The vehicle passing area includes a vehicle parking area. The vehicle passing area, the adjacent area and the work area are collectively referred to as the work influence area.

3. The risk monitoring method based on the construction of a seismic monitoring project according to claim 1, characterized in that, The plane coordinate mapping relationship obtaining process is as follows: Draw multiple existing monitoring device installation areas in the plan, construct a minimum rectangle containing the monitoring device installation area and record it as a key area. Based on the building construction drawing, draw the corresponding work influence area in the plan. Make the plan in the construction area coincide with the overhead image, and draw the key area and the work influence area in the overhead image. Construct a two-dimensional rectangular coordinate system in the overhead image and determine multiple reference objects as positioning anchor points to obtain a positioning reference map. Record the coordinates of the positioning anchor points in the positioning reference map as actual coordinates. For each monitoring image, construct a two-dimensional rectangular coordinate system. Record the coordinates of the positioning anchor points in the monitoring image as image coordinates. Based on the image coordinates and the corresponding actual coordinates of multiple positioning anchor points in the same monitoring image, construct a plane coordinate mapping relationship.

4. The risk monitoring method based on the construction of a seismic monitoring project according to claim 3, characterized in that, The positioning anchor points meet the following conditions: Condition 1: The horizontal height of different positioning anchor points is consistent. Condition 2: There are at least four different positioning anchor points in each monitoring image. Condition 3: The positioning anchor points in each monitoring image can be recognized by an image recognition algorithm.

5. The risk monitoring method based on the construction of a seismic monitoring project according to claim 3, characterized in that, The determination process of the key area and the work influence area in each monitoring image is as follows: Obtain the key area and the work influence area in the overhead image and uniformly record them as to-be-determined areas. Independently analyze each to-be-determined area. A plurality of boundary points of the to-be-determined region are determined, and each boundary point is assigned a connection serial number, a connection sequence corresponding to the to-be-determined region is constructed, and a closed contour corresponding to the to-be-determined region can be formed by connecting the boundary points in the same connection sequence in turn; Actual coordinates of the boundary points are obtained, image coordinates corresponding to the boundary points are determined based on a plane coordinate mapping relationship f, and corresponding point is drawn in the monitoring image according to the image coordinates of the boundary points, which is called a boundary positioning point. A region contour corresponding to the to-be-determined region in the monitoring image is obtained by connecting a plurality of boundary positioning points in turn according to the connection order of the connection sequence.

6. The risk monitoring method based on the construction of a seismic monitoring project according to claim 1, characterized in that, The influence device calibration process is as follows: P1: The construction equipment is divided into mobile operation equipment and fixed operation equipment. The mobile operation equipment refers to the construction equipment that remains mobile in the working state, and the fixed operation equipment refers to the construction equipment that remains fixed in the working state; P2: When the construction equipment is mobile operation equipment, a plurality of vibration sensors are arranged on the mobile path of the mobile operation equipment, and the plurality of vibration sensors are arranged at the same horizontal height and form a vibration detection array; When the mobile operation equipment moves along the mobile path in a full load state, the vibration speeds measured by the vibration sensors in the vibration detection array are obtained multiple times to obtain a vibration speed matrix, and the vibration speed matrix with the largest numerical sum is selected as a target vibration matrix; P3: The vibration influence threshold is determined based on the anti-interference data of the monitoring equipment in the construction area, and an influence matrix of n*m is intercepted in the target vibration matrix according to the vibration influence threshold; An influence range rectangle corresponding to the influence matrix is constructed based on the data distribution in the influence matrix, the influence range rectangle is used to represent the specific range of influence of the construction equipment on the surrounding monitoring equipment during operation, and the influence range rectangle is bound with the projection contour of the mobile operation equipment; P4: When the construction equipment is fixed operation equipment, a vibration detection array is arranged around the fixed operation equipment, and a vibration detection array is measured, an influence matrix is intercepted from the vibration detection array, and an influence range rectangle corresponding to the projection contour of the fixed operation equipment is constructed; P5: When the influence range rectangle covers the projection contour of the construction equipment, the construction equipment is marked as an influence device, and the corresponding influence range rectangle is bound with the construction equipment, which is called an interference range.

7. The risk monitoring method based on the construction of a seismic monitoring project according to claim 6, characterized in that, The influence matrix meets the following conditions: Condition A: The proportion of vibration speeds in the influence matrix that are greater than or equal to a preset vibration influence threshold is greater than a preset proportion threshold; Condition B: The influence matrix is the smallest matrix that meets condition A.

8. The risk monitoring method based on the construction of a seismic monitoring project according to claim 6, characterized in that, The influence device interference region analysis process is as follows: S1: Each monitoring image is analyzed independently, and the analyzed monitoring image is called a target image; S2: There is a device image database corresponding to the influence device, the device image database contains a plurality of appearance images of the influence device, and a device visual recognition model is constructed based on the appearance images in the device image database and an image recognition algorithm; S3: identifying the influencing device in the target image based on the visual recognition model, marking the projection contour and the influence range rectangle corresponding to the influencing device in the image, continuously acquiring the target image and recording the movement of the influence range rectangle, and marking the area passed by the influence range rectangle as the interference area.

9. The risk monitoring method based on the construction of a seismic monitoring project according to claim 6, characterized in that, The vibration influence threshold calculation process is as follows: To obtain the anti-interference distance and minimum vibration interference velocity of any monitoring device within the construction area, use the formula... Calculate the interference impact value corresponding to any monitoring device. The minimum value among multiple interference influence values ​​is selected as the vibration influence threshold, where: e is a natural constant; To monitor the minimum vibration disturbance speed of the device; R represents the anti-interference distance of the monitoring device; is a preset soil attenuation coefficient; is a preset distance reference value.

10. The risk monitoring method based on the construction of a seismic monitoring project according to claim 9, characterized in that, The construction process of the influence range matrix is as follows: Obtain the minimum value in the influence matrix as the minimum influence value; When the minimum influence value is less than or equal to the vibration influence threshold, the distance between adjacent vibration sensors is obtained, and the lengths of two sides of the influence range rectangle are (n-1)*d and (m-1)*d respectively, d represents the distance between adjacent vibration sensors; When the minimum influence value is greater than the vibration influence threshold value, a maximum value of edge values in the influence matrix is obtained and recorded as an edge diffusion value , and substituted into formula to obtain an edge length expansion value L, and let the lengths of two edges of the influence range rectangle be (n-1)*d+2*L and (m-1)*d+2*L respectively.

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