Monitoring system and method for on-site construction progress of photovoltaic power station

Abstract

The invention provides a monitoring system and method for the on-site construction progress of a photovoltaic power station, and the system comprises a data collection module which is used for collecting the progress data of the construction site of the photovoltaic power station in real time; the data processing module is used for preprocessing the progress data, generating a three-dimensional digital model of the construction site of the photovoltaic power station and transmitting the three-dimensional digital model to the progress monitoring module; the progress monitoring module is used for detecting the progress deviation of the construction site of the photovoltaic power station based on the three-dimensional digital model and sending a detection result to the alarm and feedback module; and the alarm and feedback module is used for generating a progress deviation report according to the detection result, and selecting a corresponding processing mode according to whether deviation data in the progress deviation report exceeds a preset threshold value or not. According to the system provided by the invention, the three-dimensional model is generated by acquiring the image data and the laser scanning data in real time, and the construction progress plan is combined for comparison, so that the project is ensured to be performed on time and with high quality.

Description

Technical Field

[0001] The present invention relates to the technical field of construction progress monitoring, and particularly to a monitoring system and method for the on-site construction progress of a photovoltaic power station. Background Art

[0002] As an important renewable energy project, the construction of a photovoltaic power station involves a large amount of civil engineering, equipment installation, electrical connection, etc. The construction period is long and the project is complex. Traditional construction management mainly relies on manual inspections and on-site manual records, which have problems such as information lag, inaccurate data, and high management difficulty, and it is difficult to effectively ensure the smooth progress of the project according to the plan.

[0003] During the actual construction process, it is often difficult to detect deviations in the construction progress in a timely manner. Especially in large-scale photovoltaic power station construction projects, the construction site is vast, the tasks are diverse, and the personnel mobility is large. Traditional progress monitoring means often cannot track every construction link in real time and comprehensively. If construction deviations cannot be discovered and corrected in a timely manner, it may lead to project delays, resource waste, and even affect the overall quality and safety of the project.

[0004] With the rapid development of unmanned aerial vehicle technology, lidar sensors, and digital modeling technology, intelligent construction progress monitoring systems have gradually become an important technical means to solve the pain points of traditional construction monitoring. Unmanned aerial vehicle technology, with its flexible flight and convenient operation characteristics, can quickly obtain large-scale and high-precision images and three-dimensional point cloud data; while lidar can provide high-precision spatial measurements and capture the three-dimensional information of the construction site in real time, providing reliable data support for the real-time monitoring of construction progress and quality.

[0005] Currently, although there are some construction monitoring solutions based on unmanned aerial vehicles in the market, most of the solutions rely on video monitoring and simple image analysis, making it difficult to conduct accurate progress comparison, and often failing to deeply apply three-dimensional modeling and high-precision sensor technology for detailed construction status evaluation. In addition, existing progress monitoring systems often only focus on a single technical means (such as relying only on image recognition or a single measurement sensor), lacking multi-dimensional and comprehensive monitoring and analysis capabilities, resulting in low monitoring accuracy and being unable to fully reflect the actual situation of construction progress.

[0006] Therefore, there is an urgent need for an intelligent construction progress monitoring system that combines unmanned aerial vehicles, lidar, and digital modeling technology, which can obtain detailed data of the construction site in real time, accurately compare the construction plan with the actual progress, detect deviations in a timely manner and give feedback, helping managers efficiently control the construction progress, ensuring the project progresses according to the plan, and avoiding delays and quality problems. Summary of the Invention

[0007] The object of the present invention is to provide a monitoring system and method for the on-site construction progress of a photovoltaic power station, aiming to solve the above problems in the prior art.

[0008] An embodiment of the present invention provides a monitoring system for the on-site construction progress of a photovoltaic power station, including:

[0009] A data acquisition module, connected to the data processing module, for real-time collecting the progress data of the construction site of the photovoltaic power station and transmitting the progress data to the data processing module;

[0010] A data processing module, connected to the data acquisition module and the progress monitoring module, for receiving the progress data, preprocessing the progress data, and generating a three-dimensional digital model of the construction site of the photovoltaic power station according to the processed data, and transmitting the three-dimensional digital model to the progress monitoring module;

[0011] A progress monitoring module, connected to the data processing module and the alarm and feedback module, for receiving the three-dimensional digital model, detecting the progress deviation of the construction site of the photovoltaic power station based on the three-dimensional digital model, and sending the detection result to the alarm and feedback module;

[0012] An alarm and feedback module, connected to the progress monitoring module, for generating a progress deviation report according to the detection result and selecting a corresponding processing method according to whether the deviation data in the progress deviation report exceeds a preset threshold.

[0013] An embodiment of the present invention provides a monitoring method for the on-site construction progress of a photovoltaic power station, including:

[0014] Real-time collecting the progress data of the construction site of the photovoltaic power station through the data acquisition module and transmitting the progress data to the data processing module;

[0015] Receiving the progress data through the data processing module, preprocessing the progress data, and generating a three-dimensional digital model of the construction site of the photovoltaic power station according to the processed data, and transmitting the three-dimensional digital model to the progress monitoring module;

[0016] Receiving the three-dimensional digital model through the progress monitoring module, detecting the progress deviation of the construction site of the photovoltaic power station based on the three-dimensional digital model, and sending the detection result to the alarm and feedback module;

[0017] Generating a progress deviation report through the alarm and feedback module according to the detection result and selecting a corresponding processing method according to whether the deviation data in the progress deviation report exceeds a preset threshold.

[0018] An embodiment of the present invention further provides an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor. When the computer program is executed by the processor, the steps of the above-mentioned monitoring method for the on-site construction progress of a photovoltaic power station are implemented.

[0019] An embodiment of the present invention further provides a computer-readable storage medium, on which an implementation program for information transmission is stored. When the program is executed by a processor, the steps of the above-mentioned monitoring method for the on-site construction progress of a photovoltaic power station are implemented.

[0020] The adoption of the embodiment of the present invention may include the following beneficial effects: The embodiment of the present invention provides a monitoring system for the construction progress of a photovoltaic power station. The system uses a drone equipped with a high-definition camera and a lidar sensor to conduct inspections on the construction site, generates a three-dimensional model by obtaining image data and laser scanning data in real time, compares it with the construction progress plan, detects deviations in the construction progress, and generates an alarm to ensure that the project is carried out on time and with high quality. Description of the Drawings

[0021] In order to more clearly illustrate the technical solutions in one or more embodiments of this specification or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments recorded in this specification. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0022] Figure 1 It is a schematic diagram of a monitoring system for the on-site construction progress of a photovoltaic power station according to an embodiment of the present invention;

[0023] Figure 2 It is a flowchart of a monitoring method for the on-site construction progress of a photovoltaic power station according to an embodiment of the present invention. Detailed Embodiments

[0024] In order to enable those skilled in the art of this technology to better understand the technical solutions in one or more embodiments of this specification, the following will clearly and completely describe the technical solutions in one or more embodiments of this specification in conjunction with the drawings in one or more embodiments of this specification. Obviously, the described embodiments are only some embodiments of this specification, rather than all embodiments. Based on one or more embodiments of this specification, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of this document.

[0025] System Embodiment

[0026] According to an embodiment of the present invention, there is provided a monitoring system for the on-site construction progress of a photovoltaic power station. Figure 1 It is a schematic diagram of the monitoring system for the on-site construction progress of a photovoltaic power station according to an embodiment of the present invention. As Figure 1 shown, the monitoring system for the on-site construction progress of a photovoltaic power station according to an embodiment of the present invention specifically includes:

[0027] A data acquisition module 10, connected to the data processing module, for real-time collecting the progress data of the construction site of the photovoltaic power station and transmitting the progress data to the data processing module. Specifically, it is used for:

[0028] Real-time collecting the progress data of the construction site of the photovoltaic power station through a high-definition camera and a lidar sensor carried by a drone according to a predetermined path;

[0029] Wherein, the progress data includes image data and three-dimensional point cloud data;

[0030] A data processing module 12, connected to the data acquisition module and the progress monitoring module, for receiving the progress data, preprocessing the progress data, and generating a three-dimensional digital model of the construction site of the photovoltaic power station according to the processed data, and transmitting the three-dimensional digital model to the progress monitoring module. Specifically, it is used for:

[0031] Analyzing the image data by using image processing technology to obtain an image data analysis result, preprocessing the three-dimensional point cloud data by using point cloud registration technology, and generating an initial digital model of the construction site of the photovoltaic power station according to the processed point cloud data through a three-dimensional modeling algorithm, and fusing the image data analysis result with the initial digital model by using data fusion technology to obtain the final three-dimensional digital model of the construction site of the photovoltaic power station;

[0032] A progress monitoring module 14, connected to the data processing module and the alarm and feedback module, for receiving the three-dimensional digital model, detecting the progress deviation of the construction site of the photovoltaic power station based on the three-dimensional digital model, and sending the detection result to the alarm and feedback module. Specifically, it is used for:

[0033] Comparing the time of drone collection corresponding to the three-dimensional digital model with the time node in the construction plan to obtain the time deviation of the construction progress, and comparing the three-dimensional digital model with the planned model of the corresponding time node to obtain the space deviation of the construction progress;

[0034] An alarm and feedback module 16, connected to the progress monitoring module, for generating a progress deviation report according to the detection result, and selecting a corresponding processing method according to whether the deviation data in the progress deviation report exceeds a preset threshold. Specifically, it is used for:

[0035] Generate a progress deviation report for the construction site of the photovoltaic power station based on the time deviation and the space deviation, and determine whether the deviation data in the progress deviation report exceeds a preset threshold. If the deviation data is less than or equal to the preset threshold, feedback the progress deviation report to the corresponding management personnel;

[0036] If the deviation data is greater than the preset threshold, feedback the progress deviation report to the corresponding management personnel and issue an alarm;

[0037] Among them, the progress deviation report includes the deviation situation between the actual construction progress and the planned construction progress, the deviation location, the severity assessment of the deviation, and the adjustment suggestions for the deviation.

[0038] The following combines the specific situation of the monitoring system for the on-site construction progress of the photovoltaic power station in the embodiments of the present invention to detail the above technical solutions of the embodiments of the present invention.

[0039] I. The system proposed in the embodiments of the present invention mainly includes the following modules:

[0040] UAV platform: The UAV is equipped with a high-definition camera and a lidar sensor to conduct regular or on-demand inspections and collect image data and three-dimensional lidar scanning data of the construction site.

[0041] Data processing platform: This platform receives the image data and lidar point cloud data transmitted by the UAV, generates a three-dimensional digital model of the construction site through image processing, three-dimensional modeling, and data fusion technologies, and compares it with the construction progress plan to analyze the progress difference. This data processing platform also includes: a point cloud registration module, which compares the actual three-dimensional point cloud data of the construction site with the three-dimensional model of the construction progress plan by using a point cloud registration algorithm to calculate the spatial error.

[0042] Progress monitoring module: This module compares the real-time collected data with the time nodes in the construction plan to detect the deviation of the construction progress, generates a deviation report, and feeds back the deviation information to the construction management personnel through the alarm system. That is, it is used to detect the deviation of the construction progress through time series comparison and spatial error calculation. Among them, calculating the progress deviation includes progress comparison based on time series and progress comparison based on spatial error.

[0043] Alarm and feedback system: When a deviation occurs in the progress, the system will automatically issue an alarm, and at the same time inform the management personnel of the location and severity of the deviation and provide possible adjustment measures. And the alarm and feedback system will generate a progress deviation report according to the detected construction deviation. The report includes the type, location, severity, and adjustment suggestions of the deviation, and sends an alarm notice to the construction management personnel by means of text messages, emails, etc.

[0044] II. The specific implementation process of the embodiments of the present invention is as follows:

[0045] 1. UAV inspection and data collection: The UAV regularly inspects the construction site according to a predetermined path. The high-definition camera carried by the UAV provides image data of the construction site, and the lidar system performs three-dimensional scanning on the construction site to obtain high-precision point cloud data.

[0046] 2. 3D modeling and construction progress comparison: After the data processing platform receives the data collected by the UAV, it uses the point cloud data to reconstruct the 3D model of the construction site. The system compares the 3D model with the model in the construction progress plan to detect the difference between the actual progress and the plan in the construction area.

[0047] 3. Progress deviation detection and calculation:

[0048] ① Time deviation detection: Compare the time nodes in the construction plan with the progress during the UAV inspection. If the construction progress in a certain area does not proceed as planned, the system will calculate the time deviation in that area. For example, if the planned completion time of a certain task is T_plan and the actual completion time is T_actual, then the time deviation is ΔT = ∣T_plan - T_actual∣.

[0049] ② Spatial error detection: Using the three-dimensional point cloud data obtained by lidar, compare the actual construction data with the 3D model in the construction plan through point cloud registration technology (such as the ICP algorithm) to calculate the spatial error. The spatial error refers to the difference between the actual construction position and the planned construction position in the construction area. For example, if the actual covered area of a certain area is A_actual and the planned area is A_plan, then the area error is ΔA = ∣A_plan - A_actual∣.

[0050] 4. Report generation and deviation feedback: The system generates a progress report based on the detected time deviation and spatial error. The report includes:

[0051] A. The difference between the actual construction progress and the planned progress

[0052] B. Marking and visual display of the deviation location

[0053] C. Assessment of the severity of the deviation

[0054] D. Adjustment suggestions for the deviation

[0055] If the deviation exceeds the preset threshold, the system will send an alarm notification to the corresponding construction management personnel via text message, email or APP to remind them to take corresponding remedial measures.

[0056] III. The technical details of the embodiments of the present invention are as follows:

[0057] 1. UAV Platform and Sensor Configuration

[0058] High-definition camera: Used to obtain high-definition images of the construction site in real time and capture the progress.

[0059] LiDAR sensor: Used to obtain high-precision 3D point cloud data of the construction site and reconstruct the 3D model of the construction area.

[0060] 2. Data Processing and 3D Modeling

[0061] Point cloud data preprocessing: Use point cloud registration technology to preprocess the point cloud data scanned by LiDAR, eliminate noise, and ensure high precision.

[0062] 3D model reconstruction: According to the point cloud data, use 3D modeling algorithms (such as voxel grid method or Delaunay triangulation method) to generate a digital 3D model of the construction site.

[0063] Data fusion: Integrate the image data with the 3D point cloud data to enhance the details and accuracy of the model, facilitating subsequent progress comparison and analysis.

[0064] 3. Progress Comparison and Deviation Detection

[0065] Time series comparison: By comparing the start and end times of each task in the construction progress plan and the time nodes in the actual progress, calculate the time deviation of the construction.

[0066] Spatial error calculation: Compare the 3D models of the actual construction area and the planned area through the point cloud registration algorithm to calculate the spatial error.

[0067] Progress deviation algorithm:

[0068] ① Time error: Through time difference calculation, determine whether the construction progress meets the time nodes.

[0069] ② Area error: By calculating the difference between the actual construction area and the planned area, determine the completion degree of the construction area.

[0070] 4. Report Generation and Alarm System

[0071] Report generation: The system summarizes the deviation data and generates a detailed progress report, including time error, spatial error, deviation location identification, etc.

[0072] Alarm system: When the progress deviation exceeds the predetermined threshold, the system will trigger the alarm mechanism and notify the relevant management personnel in a timely manner.

[0073] IV. The specific implementation examples of the embodiments of the present invention are as follows:

[0074] 1. System Composition

[0075] In the photovoltaic power station construction progress monitoring system of the embodiments of the present invention, an unmanned aerial vehicle (UAV) equipped with a high-definition camera and a lidar sensor is used for inspection, and a data processing platform is combined for progress comparison and deviation detection. The specific composition is as follows:

[0076] UAV Platform: A multi-rotor UAV is selected, such as DJI or other similar brands, equipped with a high-definition camera (resolution of at least 4K) and a lidar sensor (such as Velodyne Puck or RIEGL VUX) for regular inspection.

[0077] Data Processing Platform: A server or cloud platform is used for data reception and processing. The data platform includes image processing, point cloud data processing, progress comparison, and alarm systems. Open-source software and tools, such as Open3D and CloudCompare, are used for point cloud processing, and TensorFlow, OpenCV, etc. are used for image data analysis.

[0078] Progress Monitoring Module: This module runs a progress comparison algorithm based on time series and a spatial error calculation algorithm. Timestamps are used to compare the construction progress, and the spatial difference between the actual construction location and the planned location is calculated through a point cloud registration algorithm.

[0079] Alarm and Feedback System: When a deviation occurs in the construction progress, the system sends an alarm to the construction management personnel through the APP, email, text message, etc.

[0080] 2. Implementation Steps

[0081] Step 1: UAV Inspection and Data Collection

[0082] The UAV conducts inspections on the construction site of the photovoltaic power station according to the pre-determined route. During the inspection process, the high-definition camera regularly takes images of the construction area, and the lidar collects the three-dimensional point cloud data of the construction site.

[0083] After each inspection, all the collected data is synchronously transmitted to the data processing platform, and the data transmission uses WiFi or 5G network to ensure timeliness.

[0084] Step 2: Data Processing and Progress Comparison

[0085] Image Data Processing: The system uses image processing technology to analyze the high-definition images, identify the building structures and material stacking situations in the construction area. Combining the image data with the three-dimensional point cloud data of the lidar, the system can identify the progress status of different construction areas.

[0086] Point cloud data processing: After the lidar data is preprocessed, it is compared with the 3D model provided in the construction plan through a point cloud registration algorithm. By calculating the spatial error between the actual construction area and the planned area, the system can obtain the spatial differences in each construction area.

[0087] Progress comparison: The system compares the actual progress of each construction task (such as the actual construction area) with the expected progress in the progress plan. The calculation of time differences and spatial errors can help the system determine the deviation of the construction progress.

[0088] Step 3: Calculation of progress deviation and alarm feedback

[0089] Based on the time series comparison, the system calculates the progress errors at each construction stage. If the construction time of a certain stage is delayed, the system will output the time deviation (for example, if the planned completion time of a task is T_plan and the actual completion time is T_actual, then the time deviation is ΔT = ∣T_plan - T_actual∣).

[0090] At the same time, the system calculates the area error of each area (for example, if the planned construction area of a region is A_plan and the actual completed area is A_actual, then the area error is ΔA = ∣A_plan - A_actual∣). Through these calculations, the system can determine whether the construction is proceeding as planned.

[0091] If the time deviation or spatial error exceeds the set threshold (for example, the time delay exceeds 10% and the area error exceeds 5%), the system will send an alarm to the construction management personnel via email, text message, or APP.

[0092] Step 4: Report generation and adjustment suggestions

[0093] The system will automatically generate a construction progress deviation report, which includes:

[0094] ① The progress differences in the construction areas, sorted by the magnitude of the time deviation and spatial error;

[0095] ② The specific locations where the deviations occur (marked by geographical coordinates);

[0096] ③ An assessment of the impact on the construction progress and suggestions for remedial measures.

[0097] The construction management personnel can understand the current construction status through the report and make on-site adjustments according to the suggestions to ensure that the subsequent work can be completed on time.

[0098] 3. Feasibility analysis

[0099] The construction progress monitoring system of the embodiment of the present invention is completely feasible. UAVs, lidar, and image processing technologies have been widely used in multiple industries, and the technical solutions of the data processing platform also meet the existing computer processing capabilities.

[0100] UAV platform: Existing multi-rotor UAVs (such as DJI) can provide a stable flight platform and have high-definition camera and real-time data transmission functions, which can meet the inspection needs of large construction sites such as photovoltaic power stations.

[0101] Lidar technology: Lidar has been widely used in fields such as autonomous driving and environmental modeling, and its accuracy and reliability are sufficient to meet the three-dimensional data acquisition requirements of the construction site. Existing lidar devices such as Velodyne Puck and RIEGL all have high-precision point cloud acquisition capabilities.

[0102] Data processing and analysis: Existing open-source tools (such as Open3D and CloudCompare) and commercial software (such as Autodesk ReCap and Bentley ContextCapture) already have the capabilities of point cloud data processing, image recognition, and three-dimensional modeling, and can realize real-time monitoring of construction progress and detection of progress deviations.

[0103] Therefore, the embodiment of the present invention not only has feasibility, but also can effectively realize progress monitoring and deviation detection at the construction site of the photovoltaic power station.

[0104] In summary, the embodiment of the present invention provides a digital photovoltaic power station construction progress monitoring system based on UAVs, lidar, and image processing technologies, which can realize efficient and accurate real-time monitoring of construction progress. By comparing the construction progress in multiple dimensions in terms of time and space, deviations can be detected in a timely manner and feedback to the management personnel, which helps to ensure that the construction project proceeds according to the plan and improve the intelligent and digital level of construction management. The embodiment of the present invention combines UAVs, lidar sensors, and digital modeling technologies, and realizes precise monitoring of the construction progress of the photovoltaic power station through an intelligent progress deviation detection algorithm. The specific beneficial effects are as follows:

[0105] 1. High-precision construction progress monitoring by combining UAVs and lidar: The embodiment of the present invention first uses a UAV equipped with a high-definition camera and a lidar sensor to conduct real-time inspections of the construction site, combines the high-precision three-dimensional point cloud data provided by the lidar with the image data to generate a three-dimensional model of the construction site, and compares it with the construction progress plan in real time.

[0106] 2. Multi-dimensional Progress Deviation Detection in Time and Space: The embodiments of the present invention propose a dual progress deviation detection method based on time series and spatial error. The time series method determines whether each task is completed on time by comparing the time nodes in the construction plan with the timestamps of the actual construction progress; the spatial error method evaluates the spatial differences in construction quality and actual progress by comparing the three-dimensional models of the actual construction area and the planned area through a point cloud registration algorithm.

[0107] 3. Automatic Alarm and Feedback Mechanism for Progress Deviation: The monitoring system in the embodiments of the present invention can automatically detect progress deviations and generate detailed deviation reports. If the deviation exceeds the set tolerance threshold, the system will immediately issue an alarm and feedback it to the construction management personnel via text messages, emails, etc., facilitating the rapid adoption of corrective measures.

[0108] 4. Construction Quality and Progress Evaluation Based on 3D Digital Modeling: The embodiments of the present invention generate a three-dimensional digital model, visually compare the construction progress with the planned progress, and provide a more intuitive and comprehensive way to evaluate construction progress and quality. This method can not only monitor progress deviations but also effectively check the spatial coverage and regional quality of construction projects.

[0109] Method Embodiment

[0110] According to the embodiments of the present invention, a monitoring method for the on-site construction progress of a photovoltaic power station is provided. Figure 2 It is the flowchart of the monitoring method for the on-site construction progress of a photovoltaic power station according to the embodiments of the present invention. As Figure 2 shown, the monitoring method for the on-site construction progress of a photovoltaic power station according to the embodiments of the present invention specifically includes:

[0111] Step S201, the progress data of the construction site of the photovoltaic power station is collected in real time through a data collection module, and the progress data is transmitted to a data processing module, specifically including:

[0112] The progress data of the construction site of the photovoltaic power station is collected in real time by the high-definition camera and lidar sensor carried by the unmanned aerial vehicle in the data collection module according to a predetermined path;

[0113] Among them, the progress data includes image data and three-dimensional point cloud data;

[0114] Step S202, the data processing module receives the progress data, preprocesses the progress data, and generates a three-dimensional digital model of the construction site of the photovoltaic power station according to the processed data, and transmits the three-dimensional digital model to a progress monitoring module, specifically including:

[0115] The data processing module analyzes the image data by using image processing technology to obtain the image data analysis result, preprocesses the three-dimensional point cloud data by using point cloud registration technology, and generates an initial digital model of the photovoltaic power station construction site according to the processed point cloud data through a three-dimensional modeling algorithm. The data fusion technology is used to fuse the image data analysis result with the initial digital model to obtain the final three-dimensional digital model of the photovoltaic power station construction site;

[0116] Step S203: The progress monitoring module receives the three-dimensional digital model, detects the progress deviation of the photovoltaic power station construction site based on the three-dimensional digital model, and sends the detection result to the alarm and feedback module;

[0117] Step S204: The alarm and feedback module generates a progress deviation report according to the detection result, and selects a corresponding processing method according to whether the deviation data in the progress deviation report exceeds a preset threshold.

[0118] The embodiment of the present invention is a method embodiment corresponding to the above system embodiment. The specific operations of each step can be understood with reference to the description of the system embodiment, and will not be repeated here.

[0119] In summary, the construction progress monitoring system proposed in the embodiment of the present invention is applicable to the construction progress monitoring of various large-scale photovoltaic power stations, construction projects, etc., especially applicable to engineering projects involving large construction areas, long construction periods, complex sites and requiring precise progress management. By combining modern technologies such as unmanned aerial vehicles and lidar, the system can monitor the construction progress in real time and accurately, avoiding the lag and human error of traditional monitoring methods. The embodiment of the present invention specifically includes the following beneficial effects:

[0120] 1. High efficiency: The unmanned aerial vehicle automatically conducts inspections without manual participation, improving the efficiency of construction progress monitoring.

[0121] 2. High precision: The combination of high-precision three-dimensional data and high-definition images provided by lidar makes the progress comparison more accurate.

[0122] 3. Real-time performance: Real-time acquisition of construction site data, timely discovery of progress deviations, and avoidance of delays.

[0123] 4. Intelligence: The automated progress comparison and alarm system reduces human errors and missed inspections, and improves the construction quality management level.

[0124] Device Embodiment 1

[0125] An embodiment of the present invention provides an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor. When the computer program is executed by the processor, the steps described in the method embodiment are implemented.

[0126] Second Embodiment of the Device

[0127] An embodiment of the present invention provides a computer-readable storage medium, on which an implementation program for information transmission is stored. When the program is executed by a processor, the steps described in the method embodiment are implemented.

[0128] The computer-readable storage medium described in this embodiment includes, but is not limited to: ROM, RAM, magnetic disk, optical disc, etc.

[0129] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A monitoring system for the construction progress of a photovoltaic power station, characterized in that include: A data acquisition module, connected to the data processing module, is used to collect progress data of the photovoltaic power station construction site in real time and transmit the progress data to the data processing module; A data processing module, connected to the data acquisition module and the progress monitoring module, for receiving the progress data, preprocessing the progress data, generating a three-dimensional digital model of the photovoltaic power station construction site according to the processed data, and transmitting the three-dimensional digital model to the progress monitoring module; A progress monitoring module, connected to the data processing module and the alarm and feedback module, for receiving the three-dimensional digital model, detecting the progress deviation of the photovoltaic power station construction site based on the three-dimensional digital model, and sending the detection result to the alarm and feedback module; The alarm and feedback module is connected to the progress monitoring module and is used to generate a progress deviation report according to the detection result, and select a corresponding processing method according to whether the deviation data in the progress deviation report exceeds a preset threshold.

2. The system according to claim 1, characterized in that The data acquisition module is specifically used for: The high-definition camera and lidar sensor carried by the drone collects the progress data of the photovoltaic power station construction site in real time according to the predetermined path; Wherein, the progress data includes image data and three-dimensional point cloud data.

3. The system according to claim 2, characterized in that The data processing module is specifically used for: The image data is analyzed by using image processing technology to obtain image data analysis results, the three-dimensional point cloud data is preprocessed by using point cloud registration technology, and an initial digital model of the photovoltaic power station construction site is generated according to the processed point cloud data through a three-dimensional modeling algorithm, and the image data analysis results are fused with the initial digital model by using data fusion technology to obtain a final three-dimensional digital model of the photovoltaic power station construction site.

4. The system according to claim 3, characterized in that The progress monitoring module is specifically used for: The drone acquisition time corresponding to the three-dimensional digital model is compared with the time node in the construction plan to obtain the time deviation of the construction progress, and the three-dimensional digital model is compared with the plan model of the corresponding time node to obtain the spatial deviation of the construction progress.

5. The system according to claim 4, characterized in that The alarm and feedback module is specifically used for: Generate a progress deviation report of the photovoltaic power station construction site based on the time deviation and the spatial deviation, and determine whether the deviation data in the progress deviation report exceeds a preset threshold value, and if the deviation data is less than or equal to the preset threshold value, feed back the progress deviation report to the corresponding management personnel; If the deviation data is greater than a preset threshold, the progress deviation report is fed back to the corresponding management personnel and an alarm is issued; The progress deviation report includes the deviation between the actual construction progress and the planned construction progress, the deviation location, the severity assessment of the deviation and the adjustment suggestions for the deviation.

6. A method for monitoring the construction progress of a photovoltaic power station, characterized in that include: The data acquisition module collects the progress data of the photovoltaic power station construction site in real time, and transmits the progress data to the data processing module; The progress data is received by a data processing module, the progress data is preprocessed, and a three-dimensional digital model of the photovoltaic power station construction site is generated according to the processed data, and the three-dimensional digital model is transmitted to a progress monitoring module; The three-dimensional digital model is received by the progress monitoring module, and the progress deviation of the photovoltaic power station construction site is detected based on the three-dimensional digital model, and the detection result is sent to the alarm and feedback module; A progress deviation report is generated according to the detection result through the alarm and feedback module, and a corresponding processing method is selected according to whether the deviation data in the progress deviation report exceeds a preset threshold.

7. The method according to claim 6, characterized in that The real-time progress data of the photovoltaic power station construction site collected by the data acquisition module specifically includes: The high-definition camera and lidar sensor carried by the drone in the data acquisition module collects the progress data of the photovoltaic power station construction site in real time according to the predetermined path; Wherein, the progress data includes image data and three-dimensional point cloud data.

8. The method according to claim 7, characterized in that Receiving the progress data through a data processing module, preprocessing the progress data, and generating a three-dimensional digital model of the photovoltaic power station construction site according to the processed data specifically includes: The image data is analyzed by the data processing module using image processing technology to obtain image data analysis results, the three-dimensional point cloud data is preprocessed using point cloud registration technology, and an initial digital model of the photovoltaic power station construction site is generated according to the processed point cloud data using a three-dimensional modeling algorithm, and the image data analysis results are fused with the initial digital model using data fusion technology to obtain a final three-dimensional digital model of the photovoltaic power station construction site.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the method for monitoring the on-site construction progress of a photovoltaic power station as described in any one of claims 6 to 8.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores an implementation program for information transmission, and when the program is executed by the processor, the steps of the method for monitoring the on-site construction progress of a photovoltaic power station as described in any one of claims 6 to 8 are implemented.

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