A method and system for monitoring progress of electric power infrastructure
Through the comparison of identification model and three-dimensional model based on deep neural network, the accuracy of power infrastructure construction progress monitoring is solved, and efficient and accurate progress analysis is achieved.
Patent Information
- Application Number
- CN202210768895.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-07-01
- Publication Date
- 2025-03-14
- Estimated Expiration
- 2042-07-01
AI Technical Summary
It is difficult for the existing technology to accurately judge the progress of power infrastructure construction through artificial intelligence, especially in virtual construction combining three-dimensional visualization and time dimensions.
A three-dimensional model based on deep neural network is used to combine the installation parameters, rotation angle and perception angle of the three-dimensional model and the image acquisition device to construct a three-dimensional model at the construction site, and the actual progress is analyzed by comparing the initial three-dimensional model.
It realizes accurate analysis and judgment of the progress of power infrastructure construction, avoids the tedious process of collecting and processing large amounts of video surveillance images in traditional methods, and improves the accuracy and efficiency of monitoring.
Smart Images

Figure CN115019109B_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of construction progress monitoring, and in particular relates to a method and system for monitoring the progress of electric power infrastructure. Background Art
[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.
[0003] Power infrastructure project progress management is an important part of power enterprise management. Combining project quality management, safety management, investment management and other factors to carry out management work can promote the development of power enterprises to a certain extent and make power infrastructure enterprises invincible in the fierce social economy. Progress management plays a very important role in all engineering projects, especially in power infrastructure construction projects.
[0004] The most intuitive feature of the Grid Information Model (GIM) is the three-dimensional visualization. The three-dimensional visualization function plus the time dimension can be used for virtual construction. The construction plan can be compared with the actual progress intuitively and quickly anytime and anywhere, and at the same time, the construction party and the supervisor are well aware of various problems and situations of the project through effective collaboration. During the construction phase of the power infrastructure project, a large number of high-definition cameras will be configured on site. However, combining GIM technology with construction plans, construction simulations and on-site video monitoring, and using artificial intelligence to accurately judge the progress of power infrastructure construction has become a major problem facing the industry. Summary of the invention
[0005] In order to solve the technical problems existing in the above-mentioned background technology, the present invention provides a method and system for monitoring the progress of electric power infrastructure construction, which realizes accurate judgment on the progress of electric power infrastructure construction.
[0006] In order to achieve the above object, the present invention adopts the following technical solution:
[0007] A first aspect of the present invention provides a method for monitoring progress of electric power infrastructure, comprising:
[0008] Obtaining an initial three-dimensional model of the power infrastructure project, and obtaining installation parameters and rotation angles of each set of image acquisition devices, on-site pictures of the power infrastructure project acquired by each set of image acquisition devices, and a perception angle of each observation point in the on-site pictures;
[0009] Cut out the overlapping observation area of the scene pictures collected by two image collection devices in each group of image collection devices;
[0010] Input any one of the two on-site pictures containing the overlapping observation area into the recognition model based on the deep neural network to identify all target objects in the overlapping observation area;
[0011] Based on the installation parameters, rotation angle, overlapping observation area and perception angle of each observation point in the overlapping observation area of each group of image acquisition devices, a triangle formed by two image acquisition devices in each group of image acquisition devices and the same observation point in the overlapping observation area is obtained;
[0012] The distances from the two image acquisition devices to the same observation point are obtained by analyzing the triangles. The coordinates and sizes of all target objects in the overlapped observation area are obtained by combining the identified objects, thereby constructing a three-dimensional model of the construction site.
[0013] By comparing the construction site 3D model with the initial 3D model, the actual progress of the power infrastructure project can be obtained.
[0014] Furthermore, the on-site pictures in the training set used in training the recognition model based on the deep neural network may be on-site pictures of any infrastructure project, and the on-site pictures in the training set include target objects, and the target objects are marked.
[0015] Furthermore, the coordinate positions and installation angles of the two image acquisition devices in each group of image acquisition devices are different, but the scene pictures acquired by the two image acquisition devices have overlapping observation areas.
[0016] Furthermore, the specific method for obtaining the triangle formed by two image acquisition devices in each group of image acquisition devices and the same observation point in the overlapping observation area is: through the coordinate positions of each group of image acquisition devices, the distance between the two image acquisition devices in each group of image acquisition devices is calculated, and the installation angles, rotation angles and perception angles of the two image acquisition devices to the same observation point in the overlapping observation area are combined to obtain the triangle formed by the two image acquisition devices and the same observation point in the overlapping observation area.
[0017] Furthermore, the initial three-dimensional model of the electric power infrastructure project is a GIM model of the electric power infrastructure project.
[0018] Furthermore, the target objects include people, machines, materials and buildings.
[0019] A second aspect of the present invention provides a power infrastructure progress monitoring system, comprising:
[0020] A data acquisition module is configured to: acquire an initial three-dimensional model of the power infrastructure project, and acquire installation parameters and rotation angles of each set of image acquisition devices, on-site pictures of the power infrastructure project acquired by each set of image acquisition devices, and a perception angle of each observation point in the on-site pictures;
[0021] A cropping module, which is configured to: crop out the overlapping observation area of the scene pictures collected by two image collection devices in each group of image collection devices;
[0022] A target object recognition module is configured to: input any one of the two scene pictures containing the overlapping observation area into a recognition model based on a deep neural network to recognize all target objects in the overlapping observation area;
[0023] A triangle construction module is configured to obtain a triangle formed by two image acquisition devices in each group of image acquisition devices and the same observation point in the overlapping observation area based on the installation parameters, rotation angle, overlapping observation area and perception angle of each observation point in the overlapping observation area of each group of image acquisition devices;
[0024] The construction site three-dimensional model construction module is configured to: obtain the distance from two image acquisition devices to the same observation point by analyzing triangles, and obtain the coordinates and sizes of all target objects in the overlapped observation area in combination with all target objects identified, thereby constructing a three-dimensional model of the construction site;
[0025] The comparison module is configured to obtain the actual progress of the power infrastructure project by comparing the construction site three-dimensional model with the initial three-dimensional model.
[0026] A third aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the method for monitoring progress of electric power infrastructure as described above.
[0027] A fourth aspect of the present invention provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in the method for monitoring the progress of electric power infrastructure as described above are implemented.
[0028] Compared with the prior art, the present invention has the following beneficial effects:
[0029] The present invention provides a method for monitoring the progress of electric power infrastructure construction, which analyzes the actual progress of the electric power infrastructure construction project by matching the engineering site model obtained by the comparison camera with the high-precision three-dimensional model established by the user in the initial design stage, eliminating the tedious process of collecting and obtaining all video surveillance images of a power infrastructure construction project, and avoiding the problem of inaccurate monitoring caused by the difference between the infrastructure project and the training set.
[0030] The present invention provides a method for monitoring the progress of power infrastructure, which uses the three-dimensional technology of GIM to perform collision checks in the early stage, optimize engineering design, reduce the possibility of error losses and rework in the construction stage, and optimize the clearance and pipeline layout plan. Finally, the construction personnel can use the three-dimensional pipeline plan after collision optimization to conduct construction briefing and construction simulation, improve construction quality, and also improve the ability to communicate with the owner. BRIEF DESCRIPTION OF THE DRAWINGS
[0031] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.
[0032] Figure 1 This is a flow chart of a method for monitoring progress of electric power infrastructure in accordance with the first embodiment of the present invention;
[0033] Figure 2 is a schematic diagram of the installation angle, rotation angle and observation angle of the image acquisition device in Embodiment 1 of the present invention;
[0034] Figure 3 It is a triangle schematic diagram of the first embodiment of the present invention. DETAILED DESCRIPTION
[0035] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0036] It should be noted that the following detailed descriptions are illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used in the present invention have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.
[0037] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.
[0038] Embodiment 1
[0039] like Figure 1 As shown, this embodiment provides a method for monitoring the progress of power infrastructure construction, which specifically includes the following steps:
[0040] Step 1: Obtain an initial three-dimensional model of the power infrastructure project, wherein the initial three-dimensional model of the power infrastructure project is a GIM model of the power infrastructure project.
[0041] In the preliminary design stage of power infrastructure projects, designers will establish a high-precision initial GIM model for the infrastructure. Specifically, based on the principle of "standard unification, compatible interaction, and universal model", a unified substation, converter station, and line universal model library is established by applying universal design and universal equipment. GIM's three-dimensional technology can be used to perform collision checks in the early stage, optimize engineering design, reduce the possibility of errors and rework that may exist during the construction stage, and optimize clearance and pipeline layout. Finally, construction personnel can use the collision-optimized three-dimensional pipeline plan to conduct construction briefings and construction simulations to improve construction quality, while also improving the ability to communicate with owners.
[0042] Step 2: Obtain the installation parameters (coordinate position and installation angle of each image acquisition device in each image acquisition device group) and rotation angle of each image acquisition device group at the power infrastructure project site, as well as the on-site pictures of the power infrastructure project collected by each image acquisition device group and the perception angle of each pixel point (observation point) in the on-site pictures, and crop out the overlapping observation area of the on-site pictures collected by two image acquisition devices in each image acquisition device group.
[0043] As an implementation method, the image acquisition device is a camera or a webcam. When a webcam is used, the webcam transmits back the real-time acquisition of the live video, the camera's installation parameters, the rotation angle, and the perception angle of each pixel in the video frame, and converts the live video into multiple frames of images.
[0044] Among them, Figure 2 As shown in the figure, the direction pointed by the central observation line (main optical axis) of the image acquisition device is the observation center direction; the installation angle is the angle (counterclockwise angle) between the central observation line of the image acquisition device and the specified direction (due north direction) when the image acquisition device is installed and the rotation angle is 0, and the observation center direction of the image acquisition device is the initial direction; the rotation angle is the angle between the observation center direction of the image acquisition device and the initial direction; the perception angle is the angle (counterclockwise angle) between the line connecting the observation point of the image acquisition device in the on-site picture and the center point (focus) of the image acquisition device and the central observation line of the image acquisition device.
[0045] At the site of the power infrastructure project, a large number of image acquisition devices will be deployed during the construction phase of the power infrastructure project. Each group of two image acquisition devices is composed of two image acquisition devices. The coordinate positions and installation angles of the two image acquisition devices in each group are different, but the site pictures collected by the two image acquisition devices have overlapping observation areas. Combining the three-dimensional coordinate information of the power transmission and transformation project of the power infrastructure project can form a three-dimensional scene of the power transmission and transformation project and the distribution of image acquisition devices.
[0046] Step 3: Input any one of the two on-site pictures containing the overlapping observation area into the recognition model based on the deep neural network to identify all target objects in the overlapping observation area, including people, machines, materials and buildings.
[0047] The recognition model based on deep neural network needs to be trained using a training set. Specifically, it is necessary to collect pictures of any infrastructure site including people, machines, materials, or buildings, and mark the people, machines, materials, or buildings in the pictures as training sets, and build a neural network on a large data set. This neural network is a general visual system neural network.
[0048] This universal visual system neural network processes the on-site images sent back by the image acquisition device at the infrastructure site. For example, this universal visual system neural network processes the real-time video stream sent back by the camera at the infrastructure site, and uses the video stream to identify all personnel, machinery, equipment and other objects in the three-dimensional scene of the power transmission and transformation project through pure vision.
[0049] Step 4: based on the installation parameters, rotation angle, overlapping observation area and the perception angle of each pixel point in the overlapping observation area of each set of image acquisition devices, a triangle formed by two image acquisition devices in each set of image acquisition devices and a common observation point in the overlapping observation area is obtained;
[0050] Specifically, the distance between two image acquisition devices in each group of image acquisition devices is calculated through the coordinate position of each group of image acquisition devices, and the installation angle, rotation angle and perception angle of the two image acquisition devices to the same observation point in the overlapping observation area are combined to obtain the triangle formed by the two image acquisition devices and the same observation point in the overlapping observation area. Step 5: The distance from the two image acquisition devices to the same observation point is obtained by analyzing the triangle, and the coordinates and sizes of all target objects in the overlapping observation area are obtained in combination with all the target objects identified in the overlapping observation area, so as to construct a three-dimensional model of the construction site.
[0051] like Figure 3As shown in FIG. 1 , it is a schematic diagram of camera triangulation (simplified to a horizontal plane). In the figure, there is a group of image acquisition devices (i.e., camera 1 and camera 2). Assume that the coordinate positions of two image acquisition devices in a group of image acquisition devices are A (x1, y1) and B (x2, y2), respectively. A certain pixel point in the overlapping observation area of the group of image acquisition devices is C (i.e., any common observation point on the object within the field of view of the image acquisition device). The triangle formed by the group of image acquisition devices and the pixel point C is △ABC:
[0052] (1) According to the coordinate positions of the two image acquisition devices, A(x1, y1) and B(x2, y2), the distance formula Calculate the distance LAB=|AB| between the two image acquisition devices;
[0053] (2) Calculating the observation angles of the two image acquisition devices based on the observation angles and rotation angles of the two image acquisition devices; the observation angle is the angle (counterclockwise angle) between the observation center direction of the image acquisition device and the specified direction (due north direction), and the observation angle is the sum of the installation angle and the rotation angle;
[0054] (3) Based on the observation angle and the perception angle, calculate the angles of the two base angles of the triangle;
[0055] (4) The distances from the two image acquisition devices to the same observation point C can be obtained by analyzing a triangle with a known base length LAB and two base angles;
[0056] (5) Combining the coordinate positions of the two image acquisition devices, A and B respectively, the coordinates of pixel point C are obtained.
[0057] According to the coordinates of all pixel points, combined with all the target objects in the identified overlapping observation area, the coordinates and sizes of all the target objects in the overlapping observation area are obtained, thereby constructing a three-dimensional model of the construction site.
[0058] In the actual three-dimensional case, the actual triangle is the plane determined by AB and the common observation point C rather than the horizontal plane. The coordinates of any common observation point in the three-dimensional environment are analyzed by calculating the elevation information in the longitude and latitude coordinates and the included angle in the vertical direction. Because C is any point within the field of view of the two cameras on the object, the coordinates of any boundary point of the observed object can be obtained, thereby obtaining the size of the observed object.
[0059] That is, the distance between the two cameras can be calculated by the precise coordinate position obtained by the camera. According to the installation angle and observation angle of the two cameras, when the two cameras observe the same point, the angle between the line between the camera and the observation point and the line between the two cameras is obtained to construct a triangle. By analyzing the triangle, the position of the camera to this point can be calculated. The distance of all points within the observable range of the two cameras can be obtained through triangulation. Thus, the coordinates and size of each object within the observation range are constructed. Combined with the identified object category, a 1:1 high-precision model with the actual object is automatically constructed.
[0060] Step 6: By comparing the engineering site model obtained by the image acquisition device with the high-precision three-dimensional model established by the user in the initial design stage, the actual progress of the power infrastructure project is analyzed. Correction analysis is also performed based on the personnel and machinery conditions on site.
[0061] The present invention does not need to be based on a completed power infrastructure project video surveillance image as a learning sample, and does not judge the progress and quality by the difference between the current infrastructure project and the infrastructure project being learned. Instead, a universal visual system neural network is used to identify various types of personnel, tools, and buildings on site, and the progress of the infrastructure project is determined by matching them with the infrastructure GIM three-dimensional model constructed in the early stage. Compared with the traditional method, the method of the present invention eliminates the tedious process of collecting and acquiring all the video surveillance images of an electric power infrastructure project to train the progress monitoring model. At the same time, because the infrastructure project is not a simple copy of a template, when a new infrastructure project is built or the infrastructure project is different from the sample, the traditional method will fail or the cost will be incalculable. This case is more extensive and has lower cost by comparing the CIM model.
[0062] Embodiment 2
[0063] This embodiment provides a power infrastructure progress monitoring system, which specifically includes the following modules:
[0064] A data acquisition module is configured to: acquire an initial three-dimensional model of the power infrastructure project, and acquire installation parameters and rotation angles of each set of image acquisition devices, on-site pictures of the power infrastructure project acquired by each set of image acquisition devices, and a perception angle of each observation point in the on-site pictures;
[0065] A cropping module, which is configured to: crop out the overlapping observation area of the scene pictures collected by two image collection devices in each group of image collection devices;
[0066] A target object recognition module is configured to: input any one of the two scene pictures containing the overlapping observation area into a recognition model based on a deep neural network to recognize all target objects in the overlapping observation area;
[0067] A triangle construction module is configured to obtain a triangle formed by two image acquisition devices in each group of image acquisition devices and the same observation point in the overlapping observation area based on the installation parameters, rotation angle, overlapping observation area and perception angle of each observation point in the overlapping observation area of each group of image acquisition devices;
[0068] The construction site three-dimensional model construction module is configured to: obtain the distance from two image acquisition devices to the same observation point by analyzing triangles, and obtain the coordinates and sizes of all target objects in the overlapped observation area in combination with all target objects identified, thereby constructing a three-dimensional model of the construction site;
[0069] The comparison module is configured to obtain the actual progress of the power infrastructure project by comparing the construction site three-dimensional model with the initial three-dimensional model.
[0070] The coordinate positions and installation angles of the two image acquisition devices in each group of image acquisition devices are different, but the on-site pictures acquired by the two image acquisition devices have overlapping observation areas.
[0071] It should be noted here that the various modules in this embodiment correspond one-to-one to the various steps in Example 1, and the specific implementation process is the same, which will not be repeated here.
[0072] Embodiment 3
[0073] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps in the method for monitoring the progress of electric power infrastructure as described in the first embodiment above are implemented.
[0074] Embodiment 4
[0075] This embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the steps in the method for monitoring progress of electric power infrastructure as described in the first embodiment above are implemented.
[0076] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of hardware embodiments, software embodiments, or embodiments combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program code.
[0077] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0078] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.
[0079] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.
[0080] A person skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.
[0081] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims
1. A method for monitoring the progress of power infrastructure, characterized in that: include: Obtaining an initial three-dimensional model of the power infrastructure project, and obtaining installation parameters and rotation angles of each set of image acquisition devices, on-site pictures of the power infrastructure project acquired by each set of image acquisition devices, and a perception angle of each observation point in the on-site pictures; Cut out the overlapping observation area of the scene pictures collected by two image collection devices in each group of image collection devices; Input any one of the two on-site pictures containing the overlapping observation area into the recognition model based on the deep neural network to identify all target objects in the overlapping observation area; Based on the installation parameters, rotation angle, overlapping observation area and perception angle of each observation point in the overlapping observation area of each group of image acquisition devices, a triangle formed by two image acquisition devices in each group of image acquisition devices and the same observation point in the overlapping observation area is obtained; The distances from the two image acquisition devices to the same observation point are obtained by analyzing the triangles. The coordinates and sizes of all target objects in the overlapped observation area are obtained by combining the identified objects, thereby constructing a three-dimensional model of the construction site. By comparing the construction site 3D model with the initial 3D model, the actual progress of the power infrastructure project can be obtained.
2. A method for monitoring progress of electric power infrastructure as claimed in claim 1, characterized in that: The on-site pictures in the training set used in the training of the recognition model based on the deep neural network may be on-site pictures of any infrastructure project. The on-site pictures in the training set include target objects, and the target objects are marked.
3. A method for monitoring progress of electric power infrastructure as claimed in claim 1, characterized in that: The coordinate positions and installation angles of the two image acquisition devices in each group of image acquisition devices are different, but the on-site pictures acquired by the two image acquisition devices have overlapping observation areas.
4. A method for monitoring the progress of electric power infrastructure construction according to claim 1, characterized in that: The specific method for obtaining the triangle formed by two image acquisition devices in each group of image acquisition devices and the same observation point in the overlapping observation area is: by calculating the distance between the two image acquisition devices in each group of image acquisition devices through the coordinate positions of each group of image acquisition devices, and combining the installation angles, rotation angles and perception angles of the two image acquisition devices to the same observation point in the overlapping observation area, the triangle formed by the two image acquisition devices and the same observation point in the overlapping observation area is obtained.
5. A method for monitoring progress of electric power infrastructure as claimed in claim 1, characterized in that: The initial three-dimensional model of the electric power infrastructure project is a GIM model of the electric power infrastructure project.
6. A method for monitoring progress of electric power infrastructure as claimed in claim 1, characterized in that: The target objects include people, machines, materials and buildings.
7. A power infrastructure progress monitoring system, characterized in that: include: A data acquisition module is configured to: acquire an initial three-dimensional model of the power infrastructure project, and acquire installation parameters and rotation angles of each set of image acquisition devices, on-site pictures of the power infrastructure project acquired by each set of image acquisition devices, and a perception angle of each observation point in the on-site pictures; A cropping module, which is configured to: crop out the overlapping observation area of the scene pictures collected by two image collection devices in each group of image collection devices; A target object recognition module is configured to: input any one of the two scene pictures containing the overlapping observation area into a recognition model based on a deep neural network to recognize all target objects in the overlapping observation area; A triangle construction module is configured to obtain a triangle formed by two image acquisition devices in each group of image acquisition devices and the same observation point in the overlapping observation area based on the installation parameters, rotation angle, overlapping observation area and perception angle of each observation point in the overlapping observation area of each group of image acquisition devices; The construction site three-dimensional model construction module is configured to: obtain the distance from two image acquisition devices to the same observation point by analyzing triangles, and obtain the coordinates and sizes of all target objects in the overlapped observation area in combination with all target objects identified, thereby constructing a three-dimensional model of the construction site; The comparison module is configured to obtain the actual progress of the power infrastructure project by comparing the construction site three-dimensional model with the initial three-dimensional model.
8. A power infrastructure progress monitoring system as claimed in claim 7, characterized in that: The coordinate positions and installation angles of the two image acquisition devices in each group of image acquisition devices are different, but the on-site pictures acquired by the two image acquisition devices have overlapping observation areas.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps in a method for monitoring progress of electric power infrastructure as described in any one of claims 1 to 6 are implemented.
10. A computer device 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, the steps in the method for monitoring the progress of electric power infrastructure as described in any one of claims 1-6 are implemented.
Citation Information
Patent Citations
Construction site data acquisition method, device and system
CN111309942A
Construction monitoring method and system
CN111432197A