A power construction site data acquisition system

Abstract

This invention proposes a power construction site data acquisition system, comprising: an image acquisition device and a data server, wherein the image acquisition device and the data server are connected via a wireless network. The image acquisition device is used to acquire image information of each construction stage at the power construction site and send it to the data server; the data server is used to classify and store the image information according to the construction stage, and to extract construction data from the image information using a preset image recognition algorithm, storing it in a construction site data record table. This invention realizes the automatic acquisition and management of power construction site data, improving the efficiency of power construction site supervision.

Description

Technical Field

[0001] This invention relates to the field of power construction site supervision, and more specifically to a power construction site data acquisition system. Background Technology

[0002] Electrical engineering encompasses engineering projects related to the production, transmission, and distribution of electrical energy. In a broader sense, it also includes projects that utilize electricity as a power source and energy source in various fields. This includes the construction, expansion, and renovation of power facilities. Power facilities include power plants, switchyards, cable head sites, power lines, tower foundations, and supporting safety and protection facilities, dedicated transportation facilities, and environmental safety facilities. Therefore, real-time monitoring is necessary during the construction of electrical engineering projects to allow users to understand the progress and to control the construction quality.

[0003] With the rapid development of the regional economy, the demand for electricity is increasing, leading to a surge in power construction projects. However, due to the low level of automation in current power construction site supervision, a significant amount of manpower is required for everything from video monitoring and data collection and recording of project quantities and construction data. Especially in the supervision of critical aspects of the construction site, such as measuring tower heights, collecting excavation depth data, assessing the restoration of greenery and vegetation, and supervising backfilling operations after tower dismantling, all require manual on-site measurement and recording. This manual data management method is not only extremely labor-intensive but also lacks accuracy.

[0004] It is clear that how to achieve automatic data collection and management at power construction sites is a problem that we urgently need to solve. Summary of the Invention

[0005] To address the problems existing in the prior art, the purpose of this invention is to provide a power construction site data acquisition system that can realize the automatic acquisition and management of power construction site data.

[0006] To achieve the above objectives, the present invention employs the following technical solution:

[0007] A power construction site data acquisition system includes an image acquisition device and a data server, wherein the image acquisition device and the data server are connected via a wireless network. The image acquisition device is used to acquire image information of each construction stage at the power construction site and send it to the data server. The data server is used to classify and store the image information according to the construction stage, and to extract construction data from the image information using a preset image recognition algorithm, storing the data in a construction site data record table.

[0008] Furthermore, the image acquisition device includes: a camera, a microprocessor, a distance sensor, a GPS module, a wireless communication module, and an input module; the microprocessor is connected to the camera, distance sensor, GPS module, wireless communication module, and input module respectively. The input module is used to acquire construction process codes and send them to the microprocessor; the camera is used to acquire image information of the target to be measured according to the construction process codes and send it to the microprocessor; the distance sensor is used to measure the distance information between the camera and the target to be measured and send it to the microprocessor; the GPS module is used to acquire the positioning information of the image acquisition device and send it to the microprocessor; the microprocessor is used to instruct the built-in compression tool to integrate the acquired construction process codes, image information, distance information, and positioning information into a data packet and send it to the data server through the wireless communication module.

[0009] Furthermore, the data server includes a preprocessing unit, a classification unit, an image recognition unit, and a calculation unit. The preprocessing unit extracts construction stage codes, image information, distance information, and positioning information from the data packet using a built-in decompression tool. The classification unit determines the target image based on the construction stage codes. The image recognition unit determines the image edges and identifies the shape and coordinates of the target's edges. The calculation unit calculates the image size of the target based on its edge coordinates and calculates the construction data based on the distance between the camera and the target.

[0010] Furthermore, the classification unit is specifically used for:

[0011] When the construction stage code corresponds to the tower installation stage, the target graphic of the image information is set to a rectangle;

[0012] When the construction stage code corresponds to the backfilling operation after tower demolition, the target graphic of the image information is set to a circle.

[0013] When the construction stage code corresponds to the greening and vegetation restoration stage, the target graphic of the image information is set to an irregular graphic.

[0014] Furthermore, the image recognition unit includes:

[0015] The edge recognition module is used to identify image edges using the Canny detection algorithm and determine the coordinates of each point on the image edge;

[0016] The image determination module is used to obtain the corresponding image detection algorithm based on the determined target image, and to determine the image of the target to be tested based on the coordinates of each point on the image edge using the image detection algorithm.

[0017] Furthermore, the computing unit includes:

[0018] The image calculation module is used to determine the coordinates of the center point of the target based on the graphic of the target, and to calculate the image size of the target using the coordinates of the center point and the coordinates of each point on the image edge.

[0019] The target calculation module is used to determine the image scaling factor based on the distance information between the camera and the target to be measured, and to calculate the actual size of the target to be measured based on the image scaling factor and the image size of the target to be measured.

[0020] Furthermore, the image detection algorithms include: the Hough transform algorithm, a Matlab-based circle detection algorithm, and an OpenCV-based image detection algorithm; when the target image is a rectangle, the Hough transform algorithm is used; when the target image is a circle, the Matlab-based circle detection algorithm is used; when the target image is an irregular image, the OpenCV-based image detection algorithm is used.

[0021] Furthermore, the data server also includes a display unit;

[0022] The display unit is used to classify construction data according to the construction process code, generate a construction site data record table, and display it.

[0023] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention provides a power construction site data acquisition system, which collects image information of each construction stage at the power construction site, classifies and stores the image information according to the construction stage, and uses a preset image recognition algorithm to calculate the construction data of each construction stage from the image information and stores it in the construction site data record table, thereby realizing the automatic collection and management of power construction site data and improving the efficiency of power construction site supervision.

[0024] Therefore, it is evident that the present invention has outstanding substantive features and significant progress compared with the prior art, and the beneficial effects of its implementation are also obvious. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0026] Figure 1 This is a system structure diagram of a specific embodiment of the present invention. Detailed Implementation

[0027] The specific embodiments of the present invention will now be described with reference to the accompanying drawings.

[0028] like Figure 1 The power construction site data acquisition system shown includes: an image acquisition device 1 and a data server 2, wherein the image acquisition device 1 and the data server 3 are connected via a wireless network.

[0029] The image acquisition device is used to collect image information of each construction stage at the power construction site and send it to the data server.

[0030] Specifically, the image acquisition device 1 includes: a camera 11, a microprocessor 12, a distance sensor 13, a GPS module 14, a wireless communication module 15, and an input module 16. The microprocessor 12 is connected to the camera 11, the distance sensor 13, the GPS module 14, the wireless communication module 15, and the input module 16, respectively.

[0031] Input module 16 is used to obtain the construction process code and send it to the microprocessor.

[0032] In a specific implementation, the input module 16 can use data input components such as a keyboard or a touch screen, or it can use a QR code scanner to directly scan the QR code containing the construction process code pasted on the target to be tested, so as to realize the collection of the construction process code.

[0033] Camera 11 is used to collect image information of the target to be tested according to the construction process code and send it to microprocessor 11.

[0034] The distance sensor 13 is used to measure the distance information between the camera and the target and send it to the microprocessor.

[0035] GPS module 14 is used to acquire the positioning information of the image acquisition device and send it to microprocessor 12;

[0036] The microprocessor 12 is used to instruct the built-in compression tool to integrate the collected construction process codes, image information, distance information and positioning information into a data packet, and send it to the data server 2 through the wireless communication module 15.

[0037] Data server 2 is used to classify and store image information according to construction stages, and to use a preset image recognition algorithm to obtain construction data from the image information and store it in the construction site data record table.

[0038] Specifically, the data server 2 includes a preprocessing unit 21, a classification unit 22, an image recognition unit 23, a calculation unit 24, and a display unit 25.

[0039] The preprocessing unit 21 is used to extract construction process codes, image information, distance information and positioning information from the data packet using a built-in decompression tool.

[0040] Classification unit 22 is used to determine the target graphic of the image information based on the construction stage code. Specifically, when the construction stage code corresponds to the pole erection stage, the target graphic of the image information is set to a rectangle. When the construction stage code corresponds to the backfilling operation after pole demolition, the target graphic of the image information is set to a circle. When the construction stage code corresponds to the vegetation restoration stage, the target graphic of the image information is set to an irregular shape.

[0041] In a specific implementation, the construction phase of pole erection is coded as 01, the construction phase of backfilling after pole dismantling is coded as 02, and the construction phase of vegetation restoration is coded as 03. Based on the construction content of each phase, a target graphic is pre-set for each construction code to improve recognition efficiency.

[0042] Specifically: During the pole installation phase, the pole height needs to be monitored to determine the excavation depth of the installation pit. Based on the pole's shape, the target graphic corresponding to code 01 is set to a rectangle. During the backfilling operation after pole removal, the backfill area needs to be monitored. Based on the shape of the backfill area, the target graphic corresponding to code 02 is set to a circle. During the vegetation restoration phase, the vegetation restoration area needs to be monitored. Since the shape of the vegetation restoration area is not fixed, the target graphic corresponding to code 02 is set to an irregular shape.

[0043] The image recognition unit 23 is used to determine the image edges of the image information and to identify the shape of the target to be tested and the coordinates of the image edges.

[0044] Specifically, the image recognition unit 23 includes an edge recognition module 231 and an image determination module 232.

[0045] Edge recognition module 231 is used to identify image edges using the Canny detection algorithm and determine the coordinates of each point on the image edge. Image determination module 232 is used to obtain the corresponding image detection algorithm based on the determined target image, and to determine the image of the target object to be tested using the image detection algorithm based on the coordinates of each point on the image edge.

[0046] In specific implementations, different graphic detection algorithms are used based on different target graphics. When the construction stage is coded as 01, the target graphic is a rectangle, and the Hough transform algorithm is used; when the construction stage is coded as 02, the target graphic is a circle, and a circle detection algorithm based on Matlab is used; when the construction stage is coded as 03, the target graphic is an irregular shape, and a graphic detection algorithm based on OpenCV is used.

[0047] The calculation unit 24 is used to calculate the image size of the target based on the coordinates of the edge of the target and to calculate the construction data based on the distance between the camera and the target.

[0048] Specifically, the computing unit 24 includes an image computing module 241 and a target computing module 242.

[0049] The image calculation module 241 is used to determine the coordinates of the center point of the target based on the graphic of the target to be measured, and to calculate the image size of the target to be measured using the coordinates of the center point and the coordinates of each point on the image edge.

[0050] In specific implementations, regardless of whether the target image is a rectangle, a circle, or other irregular shape, given the coordinates of its center point and the coordinates of each point on the image edge, various dimensional parameters of the image can be calculated using calculation methods or mathematical models known to those skilled in the art.

[0051] The target calculation module 242 is used to determine the scaling factor of the image based on the distance information between the camera and the target to be measured, and to calculate the actual size of the target to be measured based on the scaling factor and the image size of the target to be measured.

[0052] Display unit 25 is used to classify construction data according to the construction process code, generate a construction site data record table and display it.

[0053] As can be seen, this system collects image information from each construction stage at the power construction site, classifies and stores the image information according to the construction stage, and uses a preset image recognition algorithm to calculate the construction data of each construction stage from the image information and store it in the construction site data record table. This realizes the automatic collection and management of power construction site data and improves the efficiency of power construction site supervision.

[0054] The present invention will be further described in conjunction with the accompanying drawings and specific embodiments. It should be understood that these embodiments are for illustrative purposes only and are not intended to limit the scope of the invention. Furthermore, it should be understood that after reading the teachings of this invention, those skilled in the art can make various alterations or modifications to the invention, and these equivalent forms also fall within the scope defined in this application.

Claims

1. A power construction site data acquisition system, characterized in that, include: An image acquisition device and a data server are connected via a wireless network. Image acquisition device is used to acquire image information of each construction stage at the power construction site and send it to the data server; The data server is used to classify and store image information according to the construction stage, and to use a preset image recognition algorithm to obtain construction data from the image information and store it in the construction site data record table. The data server includes: a preprocessing unit, a classification unit, an image recognition unit, and a computing unit; The preprocessing unit is used to extract construction process codes, image information, distance information, and positioning information from the data packet using a built-in decompression tool; The classification unit is used to determine the target graphic of the image information based on the coding of the construction process. The image recognition unit is used to determine the image edges of image information and identify the shape of the target under test and the coordinates of the image edges; The calculation unit is used to calculate the image size of the target based on the coordinates of the edge of the target, and to calculate the construction data based on the distance between the camera and the target. The classification unit is specifically used for: When the construction stage code corresponds to the tower installation stage, the target graphic of the image information is set to a rectangle; When the construction stage code corresponds to the backfilling operation after tower demolition, the target graphic of the image information is set to a circle. When the construction stage code corresponds to the greening and vegetation restoration stage, the target graphic of the image information is set to an irregular graphic. The image recognition unit includes: The edge recognition module is used to identify image edges using the Canny detection algorithm and determine the coordinates of each point on the image edge; The image determination module is used to obtain the corresponding image detection algorithm based on the determined target image, and to determine the image of the target to be tested based on the coordinates of each point on the image edge using the image detection algorithm.

2. The power construction site data acquisition system according to claim 1, characterized in that, The image acquisition device includes: a camera, a microprocessor, a distance sensor, a GPS module, a wireless communication module, and an input module; The microprocessor is connected to the camera, proximity sensor, GPS module, wireless communication module, and input module, respectively. The input module is used to acquire the codes of the construction process and send them to the microprocessor; The camera is used to collect image information of the target to be measured according to the code of the construction process and send it to the microprocessor; A distance sensor is used to measure the distance between the camera and the target and send the information to the microprocessor. The GPS module is used to acquire the positioning information of the image acquisition device and send it to the microprocessor; The microprocessor is used to instruct the built-in compression tool to integrate the collected construction process codes, image information, distance information, and positioning information into a data packet, and then send it to the data server via the wireless communication module.

3. The power construction site data acquisition system according to claim 1, characterized in that, The computing unit includes: The image calculation module is used to determine the coordinates of the center point of the target based on the graphic of the target, and to calculate the image size of the target using the coordinates of the center point and the coordinates of each point on the image edge. The target calculation module is used to determine the image scaling factor based on the distance information between the camera and the target to be measured, and to calculate the actual size of the target to be measured based on the image scaling factor and the image size of the target to be measured.

4. The power construction site data acquisition system according to claim 1, characterized in that, The image detection algorithms include: Hough transform algorithm, Matlab-based circle detection algorithm, and OpenCV-based image detection algorithm; When the target graphic is a rectangle, the Hough transform algorithm is used; when the target graphic is a circle, a circle detection algorithm based on Matlab is used; when the target graphic is an irregular graphic, a graphic detection algorithm based on OpenCV is used.

5. The power construction site data acquisition system according to claim 1, characterized in that, The data server also includes a display unit; The display unit is used to classify construction data according to the construction process code, generate a construction site data record table, and display it.

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