Construction engineering monitoring real-time image dynamic acquisition method, system, terminal and medium

Abstract

The application discloses a building engineering monitoring real-time image dynamic acquisition method and system, a terminal and a medium, and relates to the technical field of monitoring control. The technical scheme points are as follows: acquiring engineering task information of a target object; establishing a three-dimensional space model and calibrating task point positions in the three-dimensional space model; selecting image acquisition azimuth information of the task point positions as basic azimuth information; determining a standard azimuth information set corresponding to each task point position relative to the basic azimuth information; acquiring real-time azimuth information of a wearable device in a real-time image acquisition process, and when the real-time azimuth information and the standard azimuth information set are successfully matched, intercepting a real-time image acquired by the real-time azimuth information as a dynamic monitoring image of the corresponding task point position. The application can dynamically acquire real-time images of the corresponding task point positions, effectively reduces the reliability of the acquired images, and reduces resource occupation in the building engineering monitoring process.

Description

Technical Field

[0001] This invention relates to the field of monitoring and control technology, and more specifically, to a method, system, terminal, and medium for real-time dynamic acquisition of images for building engineering monitoring. Background Technology

[0002] Construction project monitoring is generally aimed at construction safety and construction quality. Traditional construction project monitoring systems mainly use fixed-point monitoring equipment to collect real-time images of important locations within the construction project area. This distributed fixed-point monitoring has a low application cost, but it has many monitoring dead zones and cannot achieve real-time monitoring of specific engineering tasks in the construction project.

[0003] To address this, existing technologies include using image acquisition devices worn by engineers to capture detailed images of different engineering tasks. Some image acquisition devices capture images in real-time throughout the entire process, ensuring complete recording of the engineering operation. However, this method consumes significant resources, contains a large amount of useless information in the acquired images, and makes it difficult to extract useful image data in a timely manner. Other methods involve staff or the system periodically activating the image acquisition device to achieve real-time image acquisition of engineering tasks. However, this method results in less reliable image information and increases the workload for engineers.

[0004] Therefore, how to research and design a method, system, terminal and medium for real-time dynamic acquisition of building engineering monitoring images that can overcome the above-mentioned defects is the problem we are currently solving. Summary of the Invention

[0005] To address the shortcomings of existing technologies, the purpose of this invention is to provide a method, system, terminal, and medium for real-time image acquisition in building engineering monitoring. This method can dynamically acquire real-time images of corresponding task locations based on the posture and position information of the engineering operators, thereby effectively reducing the reliability of the acquired images and minimizing resource consumption during the building engineering monitoring process.

[0006] The above-mentioned technical objective of the present invention is achieved through the following technical solution:

[0007] Firstly, a method for real-time dynamic image acquisition in building engineering monitoring is provided, including the following steps:

[0008] Obtain the engineering task information of the target object, which includes the spatial structure information of the work area and the engineering task type;

[0009] A three-dimensional spatial model is established based on the spatial structure information of the work area, and the task points are marked in the three-dimensional spatial model according to the type of engineering task.

[0010] Select image acquisition azimuth information from at least one task location as the basic azimuth information;

[0011] Based on the spatial relative position information of different task points in the three-dimensional spatial model, determine the standard orientation information set corresponding to each task point relative to the basic orientation information;

[0012] The system acquires the real-time orientation information of the wearable device of the target object during the real-time image acquisition process, and when the real-time orientation information is successfully matched with the standard orientation information set, it captures the real-time image corresponding to the real-time orientation information as the dynamic monitoring image of the corresponding task point.

[0013] Furthermore, the process of calibrating the task points is as follows:

[0014] The minimum area range for image acquisition is determined based on the lower limit of the distance between the image acquisition device and the task location;

[0015] If the task area does not exceed the minimum area, the corresponding task area will be divided into independent task points.

[0016] Additionally, if the task area of ​​a task zone exceeds the minimum area range, the corresponding task zone will be divided into the minimum number of independent task points.

[0017] Furthermore, the process for determining the image acquisition orientation information is as follows:

[0018] Obtain the independent surface area within the task area corresponding to the task point;

[0019] The surface areas are classified according to their tilt direction, and the total surface area of ​​all surface areas in the same tilt direction is calculated.

[0020] The tilt direction that could not be collected for all surface areas is removed to obtain a set of tilt directions;

[0021] The tilt direction with the largest total surface area is selected from the tilt directions as the image acquisition orientation information.

[0022] Furthermore, if the surface area is a plane, then the tilt direction is the normal direction of the plane;

[0023] If the surface area is curved, then the visible tangent of the curved surface is determined, and the tilt direction is the normal direction of the visible tangent.

[0024] Furthermore, the process of determining the visible cross-section of the curved surface is as follows:

[0025] Determine the plane tangent to the curved surface as the target surface;

[0026] The optimization objective is to minimize the sum of the distances from all points or multiple reference points on the surface to the target surface, and the target surface for optimization is determined as the visible tangent.

[0027] Furthermore, the real-time orientation information is the centerline direction when the wearable device acquires the image.

[0028] Furthermore, the matching process between the real-time location information and the standard location information set is as follows:

[0029] Determine the relative deflection angle threshold;

[0030] Calculate the relative deflection angle between the real-time azimuth information and each standard azimuth information in the standard azimuth information set, with the relative deflection angle not exceeding 180 degrees;

[0031] If the relative deflection value of the standard azimuth information is less than the relative deflection threshold, then the task point corresponding to the standard azimuth information is taken as the target point, and the target point set is obtained.

[0032] Real-time images collected by wearable devices with real-time location information are used as dynamic monitoring images of at least one target point in the target point set.

[0033] Secondly, a real-time image dynamic acquisition system for building engineering monitoring is provided, including:

[0034] The information acquisition module is used to acquire engineering task information of the target object, including spatial structure information of the work area and engineering task type.

[0035] The model building module is used to create a three-dimensional spatial model based on the spatial structure information of the work area, and to mark the task points in the three-dimensional spatial model according to the type of engineering task.

[0036] The basic orientation analysis module is used to select image acquisition orientation information of at least one task point as basic orientation information.

[0037] The standard orientation analysis module is used to determine the standard orientation information set corresponding to each task point relative to the basic orientation information based on the spatial relative position information of different task points in the three-dimensional spatial model.

[0038] The dynamic monitoring module is used to acquire the real-time orientation information of the wearable device of the target object during the real-time image acquisition process, and when the real-time orientation information is successfully matched with the standard orientation information set, the real-time image corresponding to the real-time orientation information is captured as the dynamic monitoring image of the corresponding task point.

[0039] Thirdly, a computer terminal is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the real-time image dynamic acquisition method for building engineering monitoring as described in any one of the first aspects.

[0040] Fourthly, a computer-readable medium is provided having a computer program stored thereon, the computer program being executed by a processor to implement the real-time image dynamic acquisition method for building engineering monitoring as described in any one of the first aspects.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] 1. The method for real-time dynamic image acquisition in building engineering monitoring provided by the present invention classifies and calibrates different engineering tasks by combining a three-dimensional spatial model, and performs correlation analysis on the standard azimuth information of each task point that can be image acquired. After obtaining the real-time azimuth information of the wearable device configured by the engineering operator through sensors and / or positioning system, the real-time azimuth information is matched with the standard azimuth information set. If the match is successful, the wearable device is activated to acquire images of the corresponding task point. It can dynamically acquire real-time images of the corresponding task point according to the posture and position information of the engineering operator, which effectively reduces the reliability of the acquired images and reduces the resource consumption in the building engineering monitoring process.

[0043] 2. This invention divides a large task area into multiple independent task points, ensuring that each acquired image can cover at least one task point, thus enhancing the effectiveness of the acquisition.

[0044] 3. When determining the image acquisition orientation information, this invention considers all surface areas in the task area that need to be covered, and selects the tilt direction with the largest total surface area as the image acquisition orientation information, thus ensuring the visual effect of the acquired image.

[0045] 4. This invention targets curved surface areas, with the goal of minimizing the sum of distances from all points or multiple reference points on the curved surface to the target surface, and can solve for the visual cross-section with the best observation effect on the curved surface. Attached Figure Description

[0046] The accompanying drawings, which are included to provide a further understanding of embodiments of the invention and form part of this application, do not constitute a limitation thereof. In the drawings:

[0047] Figure 1 This is a flowchart from an embodiment of the present invention;

[0048] Figure 2 This is a system block diagram in an embodiment of the present invention. Detailed Implementation

[0049] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the embodiments and accompanying drawings. The illustrative embodiments and descriptions of the present invention are only used to explain the present invention and are not intended to limit the present invention.

[0050] Example 1: A method for real-time image dynamic acquisition in building engineering monitoring, such as... Figure 1 As shown, it includes the following steps:

[0051] S1: Obtain the engineering task information of the target object. The engineering task information includes the spatial structure information of the work area and the engineering task type. The engineering task type includes, but is not limited to, electrical work, plumbing work and decoration work. The above tasks can also be further subdivided, which is not restricted here.

[0052] S2: Establish a three-dimensional spatial model based on the spatial structure information of the work area, and mark the task points in the three-dimensional spatial model according to the type of engineering task;

[0053] S3: Select at least one task location's image acquisition orientation information as the basic orientation information;

[0054] S4: Determine the standard orientation information set corresponding to each task point relative to the basic orientation information based on the spatial relative position information of different task points in the three-dimensional spatial model;

[0055] S5: Obtain the real-time orientation information of the wearable device of the target object during the real-time image acquisition process, and when the real-time orientation information is successfully matched with the standard orientation information set, capture the real-time image corresponding to the real-time orientation information as the dynamic monitoring image of the corresponding task point.

[0056] It should be noted that wearable devices can be safety helmets, which determine real-time location information by configuring relevant sensors and / or positioning systems, such as azimuth sensors, level sensors, three-axis gyroscope sensors, etc.

[0057] This invention classifies and calibrates different engineering tasks using a three-dimensional spatial model. It then performs correlation analysis on the standard azimuth information of each task location that can be imaged. After acquiring the real-time azimuth information of the wearable devices configured by the engineering operators through sensors and / or positioning systems, the real-time azimuth information is matched with the standard azimuth information set. If the match is successful, the wearable devices are activated to acquire images of the corresponding task locations. This allows for dynamic real-time image acquisition of the corresponding task locations based on the posture and position information of the engineering operators, effectively reducing the reliability of the acquired images and minimizing resource consumption during the construction engineering monitoring process.

[0058] The process of calibrating task points is as follows: the minimum area range for image acquisition is determined based on the lower limit of the distance between the image acquisition device and the task point; if the task area range of the task area does not exceed the minimum area range, the corresponding task area is divided into independent task points; and if the task area range of the task area exceeds the minimum area range, the corresponding task area is divided into the fewest number of independent task points.

[0059] This invention divides a large task area into multiple independent task points, ensuring that each acquired image covers at least one task point, thus enhancing the effectiveness of the acquisition.

[0060] The process of determining the image acquisition orientation information is as follows: obtain the independent surface areas in the task area corresponding to the task point; classify the surface areas according to the tilt direction and calculate the total surface area of ​​all surface areas in the same tilt direction; remove the tilt directions that cannot acquire all surface areas to obtain the tilt direction set; select the tilt direction with the largest total surface area from the tilt direction set as the image acquisition orientation information.

[0061] When determining the image acquisition orientation information, this invention considers all surface areas in the task area that need to be covered, and selects the tilt direction with the largest total surface area as the image acquisition orientation information, thus ensuring the visual effect of the acquired image.

[0062] It should be noted that if the surface area is a plane, the tilt direction is the normal direction of the plane; if the surface area is a curved surface, the visible tangent of the curved surface is determined, and the tilt direction is the normal direction of the visible tangent.

[0063] The process of determining the visible section of a surface is as follows: determine the plane tangent to the surface as the target surface; take the minimum sum of distances from all points or multiple reference points on the surface to the target surface as the optimization objective, determine the target surface for optimization as the visible section, and the best visible section for observing the surface can be obtained.

[0064] Generally, real-time orientation information is the direction of the center line when the wearable device captures the image.

[0065] Furthermore, the matching process between real-time azimuth information and the standard azimuth information set is as follows: determine the relative deflection threshold; calculate the relative deflection value between the real-time azimuth information and each standard azimuth information in the standard azimuth information set, with the relative deflection value not exceeding 180 degrees; if the relative deflection value of the standard azimuth information is less than the relative deflection threshold, then the task point corresponding to the standard azimuth information is taken as the target point, thus obtaining the target point set; and use the real-time image collected by the wearable device under the real-time azimuth information as the dynamic monitoring image of at least one target point in the target point set.

[0066] Example 2: Real-time image dynamic acquisition system for building engineering monitoring. This system is used to implement the real-time image dynamic acquisition method for building engineering monitoring described in Example 1, such as... Figure 2 As shown, it includes an information acquisition module, a model building module, a basic orientation analysis module, a standard orientation analysis module, and a dynamic monitoring module.

[0067] The system comprises the following modules: an information acquisition module for acquiring engineering task information of the target object, including spatial structure information of the work area and engineering task type; a model construction module for building a three-dimensional spatial model based on the spatial structure information of the work area and marking task points in the three-dimensional spatial model according to the engineering task type; a basic orientation analysis module for selecting image acquisition orientation information of at least one task point as basic orientation information; a standard orientation analysis module for determining the standard orientation information set corresponding to each task point relative to the basic orientation information based on the spatial relative position information of different task points in the three-dimensional spatial model; and a dynamic monitoring module for acquiring real-time orientation information of the wearable device of the target object during real-time image acquisition, and when the real-time orientation information successfully matches the standard orientation information set, capturing the real-time image corresponding to the real-time orientation information as the dynamic monitoring image of the corresponding task point.

[0068] Working principle: This invention classifies and calibrates different engineering tasks using a three-dimensional spatial model, and performs correlation analysis on the standard azimuth information of each task location that can be imaged. After acquiring the real-time azimuth information of the wearable device configured by the engineering operator through sensors and / or positioning system, the real-time azimuth information is matched with the standard azimuth information set. If the match is successful, the wearable device is activated to acquire images of the corresponding task location. It can dynamically acquire real-time images of the corresponding task location according to the posture and position information of the engineering operator, which effectively reduces the reliability of the acquired images and reduces the resource consumption in the construction engineering monitoring process.

[0069] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0070] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0071] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0072] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0073] The above specific embodiments further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for real-time dynamic image acquisition in building engineering monitoring, characterized in that, Includes the following steps: Obtain the engineering task information of the target object, which includes the spatial structure information of the work area and the engineering task type; A three-dimensional spatial model is established based on the spatial structure information of the work area, and the task points are marked in the three-dimensional spatial model according to the type of engineering task. Select image acquisition azimuth information from at least one task location as the basic azimuth information; Based on the spatial relative position information of different task points in the three-dimensional spatial model, determine the standard orientation information set corresponding to each task point relative to the basic orientation information; The system acquires the real-time orientation information of the wearable device of the target object during the real-time image acquisition process, and when the real-time orientation information is successfully matched with the standard orientation information set, it captures the real-time image corresponding to the real-time orientation information as the dynamic monitoring image of the corresponding task point. The process of determining the image acquisition orientation information is as follows: Obtain the independent surface area within the task area corresponding to the task point; The surface areas are classified according to their tilt direction, and the total surface area of ​​all surface areas in the same tilt direction is calculated. The tilt direction that could not be collected for all surface areas is removed to obtain a set of tilt directions; The tilt direction with the largest total surface area is selected from the tilt directions as the image acquisition orientation information.

2. The method for real-time image dynamic acquisition in building engineering monitoring according to claim 1, characterized in that, The process of calibrating the task points is as follows: The minimum area range for image acquisition is determined based on the lower limit of the distance between the image acquisition device and the task location; If the task area does not exceed the minimum area, the corresponding task area will be divided into independent task points. Additionally, if the task area of ​​a task zone exceeds the minimum area range, the corresponding task zone will be divided into the minimum number of independent task points.

3. The method for real-time image dynamic acquisition in building engineering monitoring according to claim 1, characterized in that, If the surface area is a plane, then the tilt direction is the normal direction of the plane; If the surface area is curved, then the visible tangent of the curved surface is determined, and the tilt direction is the normal direction of the visible tangent.

4. The method for real-time image dynamic acquisition in building engineering monitoring according to claim 3, characterized in that, The process of determining the visible cross-section of the curved surface is as follows: Determine the plane tangent to the curved surface as the target surface; The optimization objective is to minimize the sum of the distances from all points or multiple reference points on the surface to the target surface, and the target surface for optimization is determined as the visible tangent.

5. The method for real-time image dynamic acquisition in building engineering monitoring according to claim 1, characterized in that, The real-time orientation information is the direction of the centerline when the wearable device captures the image.

6. The method for real-time image dynamic acquisition in building engineering monitoring according to claim 1, characterized in that, The matching process between the real-time location information and the standard location information set is as follows: Determine the relative deflection angle threshold; Calculate the relative deflection angle between the real-time azimuth information and each standard azimuth information in the standard azimuth information set, with the relative deflection angle not exceeding 180 degrees; If the relative deflection value of the standard azimuth information is less than the relative deflection threshold, then the task point corresponding to the standard azimuth information is taken as the target point, and the target point set is obtained. Real-time images collected by wearable devices with real-time location information are used as dynamic monitoring images of at least one target point in the target point set.

7. A real-time image dynamic acquisition system for building engineering monitoring, characterized in that: include: The information acquisition module is used to acquire engineering task information of the target object, including spatial structure information of the work area and engineering task type. The model building module is used to create a three-dimensional spatial model based on the spatial structure information of the work area, and to mark the task points in the three-dimensional spatial model according to the type of engineering task. The basic orientation analysis module is used to select image acquisition orientation information of at least one task point as basic orientation information. The standard orientation analysis module is used to determine the standard orientation information set corresponding to each task point relative to the basic orientation information based on the spatial relative position information of different task points in the three-dimensional spatial model. The dynamic monitoring module is used to acquire the real-time orientation information of the wearable device of the target object during the real-time image acquisition process, and when the real-time orientation information is successfully matched with the standard orientation information set, the real-time image corresponding to the real-time orientation information is captured as the dynamic monitoring image of the corresponding task point. The process of determining the image acquisition orientation information is as follows: Obtain the independent surface area within the task area corresponding to the task point; The surface areas are classified according to their tilt direction, and the total surface area of ​​all surface areas in the same tilt direction is calculated. The tilt direction that could not be collected for all surface areas is removed to obtain a set of tilt directions; The tilt direction with the largest total surface area is selected from the tilt directions as the image acquisition orientation information.

8. A computer terminal comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the real-time image dynamic acquisition method for building engineering monitoring as described in any one of claims 1-6.

9. A computer-readable medium having a computer program stored thereon, characterized in that, The computer program, when executed by a processor, can implement the real-time image dynamic acquisition method for building engineering monitoring as described in any one of claims 1-6.

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