Canal channel construction area excavation quality three-dimensional visual control system
Through the three-dimensional visual control system for excavation quality in the canal waterway construction area, the construction site is monitored in real time and compared with the design drawings to identify deviation areas, solving the problem of difficulty in quality monitoring in traditional construction, and achieving efficient and accurate construction quality control.
Patent Information
- Application Number
- CN202510096162.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-22
- Publication Date
- 2025-03-04
AI Technical Summary
During the construction of traditional canal waterways, construction quality monitoring and progress management are difficult, and manual inspection methods cannot reflect the construction status in real time and accurately, resulting in construction deviations and quality hazards.
Design a three-dimensional visual control system for excavation quality in the canal waterway construction area, including a three-dimensional scanning device, data processing device, quality comparison detection module, etc., by obtaining three-dimensional data in real time to compare with design drawings, identifying deviation areas, and generating correction suggestions.
Real-time quality monitoring and deviation identification at the construction site are realized, construction quality and accuracy are improved, quality hidden dangers are reduced, and construction management efficiency and automation level are improved.
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Figure CN119559338A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of construction engineering, and in particular to a three-dimensional visualization control system for excavation quality in a canal waterway construction area. Background Art
[0002] In the traditional canal waterway construction process, construction quality monitoring and progress management have always been difficult challenges.
[0003] However, due to the complex construction site environment and the long and changeable construction process, traditional manual inspection and on-site measurement methods often cannot reflect the construction status in real time and accurately, which easily leads to construction deviations and quality risks. In addition, the deviation between the construction design drawings and the actual construction process is difficult to detect and correct in time, which in turn affects the overall quality and progress of the project. The existing intelligent monitoring system lacks real-time decision support and automatic adjustment capabilities. Problems in the construction process often require manual judgment and correction, resulting in low efficiency. Summary of the invention
[0004] The purpose of the present invention is to provide a three-dimensional visualization control system for excavation quality in a canal waterway construction area to solve the problems raised in the above-mentioned background technology.
[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solution: a three-dimensional visualization control system for excavation quality in a canal waterway construction area, comprising: 3D scanning device for: Scan the construction site, obtain 3D scanning data in real time and generate point cloud data; Data processing means for: Receive point cloud data from a 3D scanning device, pre-process the point cloud data, and convert the point cloud data into a visual real-time 3D model; 3D visualization module for: Visually displaying the processed real-time three-dimensional model through an external image display device, and superimposing identifiers, annotations and real-time data on the real-time three-dimensional model; Quality comparison detection module, used for: Convert construction design drawings into standard 3D models, compare the real-time 3D model with the standard 3D model to obtain model deviations, identify areas where model deviations exceed preset thresholds, mark areas that need correction, and generate quality reports; System control decision module, used for: Receive feedback from the quality comparison and detection module, combine historical construction data with real-time on-site data, generate correction suggestions and issue adjustment instructions to construction site personnel; Remote communication monitoring module for: Based on the network communication facilities deployed at the construction site, the on-site data is transmitted to the remote control center in real time to receive remote control instructions for the equipment; Historical data storage module, used for: Store the data and models collected and generated by the 3D scanning device, data processing device, 3D visualization display module, quality comparison detection module, system control decision module and remote communication monitoring module during the construction process; Prediction module for: Obtain the quality reports generated by the quality comparison and detection module, determine the quality reports corresponding to P construction sites at the same time interval, and perform numerical processing on the quality reports to form a set S. ,in is the value of the first quality report, that is, the value at the time farthest from the current time. is the value of the quality report at the current time, that is, the value of the quality report corresponding to the Pth construction site; Determine monitoring functions for quality reporting;
[0006] in, To monitor the quality report; is the i-th value of the set S, For the i-th time, is the circumference of a circle, is the monitoring coefficient to be solved, i=1, 2, 3...P; Solving for the monitoring coefficient ;
[0007] Based on four unknown The monitoring coefficient can be obtained by solving the equation ; According to the solved monitoring coefficient, a prediction function is obtained;
[0008] in, is the prediction function, is the number of times since P, a positive integer, X=1,2…n; The construction time period is determined according to the construction requirements, the maximum X value is determined, and when the value obtained by the prediction function based on the maximum X value is less than the preset quality threshold, a quality warning prompt is generated.
[0009] Furthermore, the three-dimensional scanning device is installed in the construction area, and the scanning angle and frequency are dynamically adjusted according to the construction progress. The three-dimensional scanning data collected in real time by the three-dimensional scanning device is transmitted to the data processing device via wireless or wired communication.
[0010] Furthermore, the data processing device is also used for: receiving point cloud data from a three-dimensional scanning device through wireless or wired communication, wherein the point cloud data includes spatial coordinate information of each point in the scanning area; Preprocess the point cloud data and normalize the coordinates; Generate a real-time three-dimensional model based on the processed point cloud data, wherein the real-time three-dimensional model includes morphological features of the construction area, including excavation depth, earthwork volume, and slope angle; According to the known coordinate points and reference points of the construction site, the real-time 3D model coordinate system is adjusted to the actual coordinate system of the construction site; Generate marking points and measuring points on the real-time 3D model, wherein the marking points and measuring points are generated based on construction drawings, design requirements and actual on-site scanning data, and integrate the data of each measuring point and marking point into the real-time 3D model; The marking points are used to mark the areas and features that require attention during the construction process, and the measuring points are used to detect and verify the actual size and shape.
[0011] Furthermore, the three-dimensional visualization display module includes: Model rendering unit, used for: receiving a real-time three-dimensional model from a data processing device; According to the data of the real-time 3D model, the real-time 3D model is converted into a computer graphic representation, and the real-time 3D model is displayed on an image display device through a graphic rendering algorithm, wherein the graphic rendering algorithm includes polygon modeling, lighting calculation and shadow processing; The model rendering unit maintains real-time data exchange with the data processing device, and adjusts and presents in real time according to the progress of on-site construction and the data update of the real-time 3D model; Data overlay unit, used for: receiving point data of the marking point and the measuring point from a data processing device, wherein the point data includes a marking area, deviation data and annotations; Generate markers and measurement points on the real-time 3D model based on the positions determined by the point cloud data and construction drawings, and dynamically adjust the visualization of markers and measurement points based on the actual conditions of the construction site and the viewing angle of the real-time 3D model; Overlaying real-time data of the construction site onto the real-time 3D model, the real-time data including excavation progress, earthwork volume, and slope angle; The data superposition unit superimposes the construction quality report, deviation situation and correction suggestions on the model according to the feedback from the quality comparison and detection module.
[0012] Furthermore, the quality comparison detection module includes: Standard model generation unit for: Receiving construction design drawings, and extracting design data from the construction design drawings, wherein the design data includes geometric shape, size, depth, earthwork volume, and slope angle information; According to the design data in the construction design drawings, convert the design data into a standard 3D model; Adjust the coordinate system of the standard 3D model to the actual coordinate system of the construction site; Deviation detection unit for: Receive standard 3D models and real-time 3D models; Comparing the geometric deviation between the standard 3D model and the real-time 3D model, wherein the calculation of the geometric deviation includes the calculation of the spatial distance, angle and depth difference, and obtaining the deviation value of each area; Setting a deviation threshold, comparing the calculation result of the deviation value with the deviation threshold, identifying the area where the deviation value exceeds the allowable deviation range, and generating a deviation detection result, wherein the deviation detection result includes the deviation area, the deviation value, and the deviation type; Mark the deviation area on the real-time 3D model and display it through the 3D visualization module; Quality feedback generation unit for: A quality report is generated based on the deviation detection result, wherein the content of the quality report includes the position of each deviation area and the deviation value.
[0013] Furthermore, the system control decision module includes: Deviation judgment unit, used for: Receiving the deviation detection result from the quality comparison detection module; Setting a tolerance threshold, which is dynamically adjusted according to the construction stage, construction progress and needs of the construction area; Compare the deviation value of each deviation area with the tolerance threshold, and automatically determine whether it exceeds the allowable range. If the deviation value exceeds the threshold range of the tolerance threshold, mark the current deviation area as an area that needs to be corrected; Correction suggestion generation unit for: Based on the deviation judgment results and historical construction data, formulate correction suggestions for each deviation area, the correction suggestions include adjusting the construction method, equipment type, staffing and construction sequence; Summarize all correction suggestions and generate a correction suggestion report; Adjustment instructions are automatically issued to construction site personnel based on the correction suggestion report, and the content of the adjustment instructions includes resource allocation, schedule adjustment and construction strategy adjustment.
[0014] Furthermore, the remote communication monitoring module is also used for: Collect data from the 3D scanning device and data processing device on the construction site in real time through wireless and wired methods, and update it to the remote control center in real time; Feedback the equipment status data of the construction site equipment to the remote control center in real time, wherein the equipment status data includes the working status and operating parameters of the equipment; Receiving remote control instructions sent by the remote control center to the equipment at the construction site through the communication platform, wherein the remote control instructions include instructions for starting, stopping, and adjusting working parameters of the equipment; Automatically adjust the working status of the equipment according to remote control instructions; Each time the device executes a remote control command, a confirmation message will be sent to the remote control center.
[0015] Furthermore, the historical data storage module is also used for: When querying stored data, the identity and permissions of the querying user are authenticated; Encrypt data during storage and transmission; Configure a disaster recovery mechanism to restore data through backup when data loss or system crash occurs.
[0016] Furthermore, it also includes: a construction process verification module, which is used to: Calculate a first construction index of the construction area based on the earthwork volume of the construction area, the maximum diameter, the minimum diameter and the depth of the construction area in the real-time three-dimensional model generated by the data processing device;
[0017] in, It is the first construction indicator of the construction area; is the circumference of a circle, is the earthwork volume in the construction area, is the maximum diameter of the construction area; is the minimum diameter of the construction area, is the depth of the construction area; To integrate a function with respect to x, for ; Obtain a picture of the construction area, convert the picture into a grayscale pixel matrix B, and calculate a second construction index of the construction area;
[0018] in, is the intermediate parameter, is the value of the i-th row and j-th column of matrix B, L is the number of rows of matrix B, m is the number of columns of matrix B, DE is the second construction index of the construction area; i=1, 2, 3...L, j=1, 2, 3...m; Determine the verification result of the construction process of the construction area according to the first construction index and the first construction index of the construction area;
[0019] Where rt is the verification result of the construction technology in the construction area; is a natural constant; is the logarithmic function with base e; When it is determined that the verification result rt is greater than a preset threshold, it indicates that the construction process verification of the construction area has passed; otherwise, it indicates that the construction process verification of the construction area has failed.
[0020] Compared with the prior art, the present invention has the following beneficial effects: 1. Through the close cooperation of the three-dimensional scanning device, the data processing device and the quality comparison and detection module, the present invention can accurately obtain the three-dimensional data of the construction site, and compare and analyze it with the standard three-dimensional model generated by the design drawings. By acquiring and processing the point cloud data of the construction site in real time, the system can quickly identify areas that deviate from the design, especially those that exceed the allowable tolerance range, which greatly improves the construction quality and reduces the quality risks caused by insufficient manual inspection. Construction personnel can adjust the construction operations in time according to the real-time deviation data to ensure that the construction quality of each stage always meets the design standards, avoid the quality defects that may occur in traditional construction, and greatly improve the accuracy and reliability of construction.
[0021] 2. The present invention highly integrates three-dimensional scanning, data processing, visualization and decision support functions, can convert real-time data of the construction site into an intuitive three-dimensional visualization model, and realize seamless data interaction between the construction site and the remote control center. Through the three-dimensional visualization display module, managers can view key information such as construction progress, construction quality and construction deviation in real time, monitor changes in the construction site in real time, improve the work efficiency of on-site construction personnel, and enable remote managers to make accurate decisions at any time. The system control decision module combines historical data with real-time data, and provides scientific correction suggestions for construction personnel through intelligent algorithms. It can automatically adjust construction strategies, optimize construction methods, equipment selection and resource allocation, and improve the comprehensive management level of construction. With the help of the remote communication monitoring module, the equipment and system at the construction site can accept remote control instructions, realize remote control of equipment, parameter adjustment and other operations, and further improve the flexibility and response speed of construction management.
[0022] 3. The historical data storage module of the present invention realizes the centralized storage and efficient management of various data in the construction process, and also adopts a strict data encryption and authority control mechanism to ensure the security of data during storage and transmission, effectively prevents data leakage and illegal access, and ensures the confidentiality and integrity of construction data. With the continuous accumulation of historical data, the system provides a complete construction data record and audit function for the project, which not only facilitates the tracing and management of construction progress, but also provides a reliable basis for subsequent quality assessment and problem solving, enhances the transparency and responsibility traceability of project management, improves the long-term sustainability of the project, and provides strong support for project quality management and risk control. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] Figure 1 It is a schematic diagram of the excavation quality three-dimensional visualization control system module of the present invention. DETAILED DESCRIPTION
[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0025] See also Figure 1 , the present invention provides the following technical solutions: The three-dimensional visualization control system for excavation quality in the canal waterway construction area includes: 3D scanning device for: Scan the construction site, obtain 3D scanning data in real time and generate point cloud data. The 3D scanning device is installed in the construction area, and the scanning angle and frequency are dynamically adjusted according to the construction progress. The 3D scanning data collected by the 3D scanning device in real time is transmitted to the data processing device via wireless or wired communication; Data processing means for: Receive point cloud data from a 3D scanning device, pre-process the point cloud data, and convert the point cloud data into a visual real-time 3D model; 3D visualization module for: Visually displaying the processed real-time three-dimensional model through an external image display device, and superimposing identifiers, annotations and real-time data on the real-time three-dimensional model; Quality comparison detection module, used for: Convert construction design drawings into standard 3D models, compare the real-time 3D model with the standard 3D model to obtain model deviations, identify areas where model deviations exceed preset thresholds, mark areas that need correction, and generate quality reports; System control decision module, used for: Receive feedback from the quality comparison and detection module, combine historical construction data with real-time on-site data, generate correction suggestions and issue adjustment instructions to construction site personnel; Remote communication monitoring module for: Based on the network communication facilities deployed at the construction site, the on-site data is transmitted to the remote control center in real time to receive remote control instructions for the equipment; Historical data storage module, used for: The data and models collected and generated by the 3D scanning device, data processing device, 3D visualization display module, quality comparison detection module, system control decision module and remote communication monitoring module during the storage construction process are stored. When querying the stored data, the identity and authority of the querying user are authenticated, the data in the storage and transmission process is encrypted, and a disaster recovery mechanism is configured. When data loss or system crash occurs, the data is restored through backup data.
[0026] Prediction module for: Obtain the quality reports generated by the quality comparison and detection module, determine the quality reports corresponding to P construction sites at the same time interval, and perform numerical processing on the quality reports to form a set S. ,in is the value of the first quality report, that is, the value at the time farthest from the current time. is the value of the quality report at the current time, that is, the value of the quality report corresponding to the Pth construction site; Determine monitoring functions for quality reporting;
[0027] in, To monitor the quality report; is the i-th value of the set S, For the i-th time, is the circumference of a circle, is the monitoring coefficient to be solved, i=1, 2, 3...P; Solving for the monitoring coefficient ;
[0028] Based on four unknown The monitoring coefficient can be obtained by solving the equation ; According to the solved monitoring coefficient, a prediction function is obtained;
[0029] in, is the prediction function, is the number of times since P, a positive integer, X=1,2…n; The construction time period is determined according to the construction requirements, the maximum X value is determined, and when the value obtained by the prediction function based on the maximum X value is less than the preset quality threshold, a quality warning prompt is generated.
[0030] The working principle of the above technical solution is: at fixed time intervals, P quality reports of the construction site are collected, and these quality reports are numerically processed to form a set S. A monitoring function L(S) is defined, which is used to evaluate the difference between the actual quality report value and the predicted value. The monitoring function L(S) is obtained by summing the square of the difference between each value in the set S and the result of a specific expression. This expression contains the monitoring coefficients ∂1, ∂2, ∂3, ∂4 and the trigonometric function calculation related to the number i. The monitoring coefficient is solved by a series of equations, which are obtained by taking the partial derivatives of the monitoring function with respect to each monitoring coefficient and setting it equal to 0, in order to find the monitoring coefficient value that makes the monitoring function optimal. Once the monitoring coefficient is solved, the prediction function f(X) can be obtained, which predicts the future quality situation based on the previously determined monitoring coefficient and the new number X. Where X is the number after P times. The construction time period is determined according to the construction requirements, and the maximum X value is determined. Based on the maximum X value, when the value obtained by the prediction function f(X) is less than the preset quality threshold, a quality warning prompt is generated.
[0031] The beneficial effects of the above technical solution are as follows: by collecting and analyzing historical quality report data, using mathematical methods to solve the monitoring coefficient, and then constructing a prediction function. This prediction function can predict the quality of the future construction site and generate quality warning prompts when necessary, thereby helping the construction party to take measures in advance to ensure construction quality. This method improves the efficiency and accuracy of quality management on the construction site and helps reduce the occurrence of quality problems.
[0032] In the above embodiment, the three-dimensional scanning device can obtain higher-precision construction site information in a shorter time, and can dynamically adjust the scanning angle and frequency to adapt to the ever-changing needs of the construction site. Through real-time collected data, an accurate three-dimensional model can be generated to help construction personnel more intuitively understand the status of the construction site, discover potential problems in time, reduce construction errors and delays, and transmit data to the data processing device via wireless or wired communication to ensure the real-time and integrity of the data. Through continuous real-time data collection, it can ensure that construction personnel can obtain the latest information on the construction area at any time, providing strong support for construction quality control and progress scheduling.
[0033] In the above embodiment, by integrating multiple technical modules such as advanced three-dimensional scanning, data processing, visualization, quality inspection, control decision-making, remote communication monitoring, etc., efficient management and precise control of the construction process are achieved, and data is collected in real time at the construction site and a high-precision three-dimensional model is generated, so that construction personnel, quality control personnel and decision makers can timely grasp the construction progress, construction quality and equipment status, ensuring that the project quality and progress reach the best control level.
[0034] In the above embodiment, through the visual display of real-time data, construction personnel can intuitively view the situation on the construction site, avoiding errors and lags that may occur in traditional manual measurement. The quality comparison and detection module can automatically identify construction deviations by comparing with the design drawings, and give correction suggestions in real time, greatly improving the efficiency and accuracy of construction quality control.
[0035] In the above embodiment, the system accumulates a large amount of construction data through the historical data storage module, providing data support for subsequent construction optimization. At the same time, through the real-time data transmission and equipment control of the remote communication monitoring module, the need for manual intervention is reduced, and the automation and intelligence level of the construction process is improved. The multi-module collaborative work of the system greatly improves the transparency, accuracy and efficiency of the construction process, and reduces manual errors and construction risks.
[0036] The data processing device is also used for: receiving point cloud data from a three-dimensional scanning device through wireless or wired communication, wherein the point cloud data includes spatial coordinate information of each point in the scanning area; Preprocess the point cloud data and normalize the coordinates; Generate a real-time three-dimensional model based on the processed point cloud data, wherein the real-time three-dimensional model includes morphological features of the construction area, including excavation depth, earthwork volume, and slope angle; According to the known coordinate points and reference points of the construction site, the real-time 3D model coordinate system is adjusted to the actual coordinate system of the construction site; Generate marking points and measuring points on the real-time 3D model, wherein the marking points and measuring points are generated based on construction drawings, design requirements and actual on-site scanning data, and integrate the data of each measuring point and marking point into the real-time 3D model; The marking points are used to mark the areas and features that require attention during the construction process, and the measuring points are used to detect and verify the actual size and shape.
[0037] In the above embodiment, the data processing device preprocesses and converts the point cloud data collected by the three-dimensional scanning device to generate a real-time three-dimensional model, normalizes the coordinates of the original point cloud data, extracts morphological features, and connects the real-time three-dimensional model with the actual coordinate system of the construction site to ensure the accuracy of the data. Through the efficient data processing of the data processing device, construction personnel can quickly obtain an accurate construction site model, providing an accurate basis for subsequent quality inspection, progress tracking and decision-making. The marking points and measurement points generated on the real-time three-dimensional model can intuitively display the construction progress and potential quality problems, making the construction site management more scientific and efficient.
[0038] 3D visualization display module, including: Model rendering unit, used for: receiving a real-time three-dimensional model from a data processing device; According to the data of the real-time 3D model, the real-time 3D model is converted into a computer graphic representation, and the real-time 3D model is displayed on an image display device through a graphic rendering algorithm, wherein the graphic rendering algorithm includes polygon modeling, lighting calculation and shadow processing; The model rendering unit maintains real-time data exchange with the data processing device, and adjusts and presents in real time according to the progress of on-site construction and the data update of the real-time 3D model; Data overlay unit, used for: receiving point data of the marking point and the measuring point from a data processing device, wherein the point data includes a marking area, deviation data and annotations; Generate markers and measurement points on the real-time 3D model based on the positions determined by the point cloud data and construction drawings, and dynamically adjust the visualization of markers and measurement points based on the actual conditions of the construction site and the viewing angle of the real-time 3D model; Overlaying real-time data of the construction site onto the real-time 3D model, the real-time data including excavation progress, earthwork volume, and slope angle; The data superposition unit superimposes the construction quality report, deviation situation and correction suggestions on the model according to the feedback from the quality comparison and detection module.
[0039] In the above embodiment, the three-dimensional model after real-time processing is rendered through computer graphics processing technology and displayed on an external image display device to provide intuitive construction site information for construction management personnel. Through graphics rendering algorithms, such as polygonal modeling, lighting calculation, shadow processing and other technologies, the displayed three-dimensional model has a high degree of realism and operability, which can help construction personnel to deeply understand the various characteristics of the construction area. By superimposing real-time data from the construction site into the three-dimensional model, the visualization effect is further enhanced, the model is updated in real time, and the display content is adjusted according to the progress of the construction, which helps construction personnel understand the progress of the current construction stage and various construction parameters, so as to make more accurate construction adjustments and resource allocation.
[0040] Quality comparison detection module, including: Standard model generation unit for: Receiving construction design drawings, and extracting design data from the construction design drawings, wherein the design data includes geometric shape, size, depth, earthwork volume, and slope angle information; According to the design data in the construction design drawings, convert the design data into a standard 3D model; Adjust the coordinate system of the standard 3D model to the actual coordinate system of the construction site; Deviation detection unit for: Receive standard 3D models and real-time 3D models; Comparing the geometric deviation between the standard 3D model and the real-time 3D model, wherein the calculation of the geometric deviation includes the calculation of the spatial distance, angle and depth difference, and obtaining the deviation value of each area; Setting a deviation threshold, comparing the calculation result of the deviation value with the deviation threshold, identifying the area where the deviation value exceeds the allowable deviation range, and generating a deviation detection result, wherein the deviation detection result includes the deviation area, the deviation value, and the deviation type; Mark the deviation area on the real-time 3D model and display it through the 3D visualization module; Quality feedback generation unit for: A quality report is generated based on the deviation detection result, wherein the content of the quality report includes the position of each deviation area and the deviation value.
[0041] In the above embodiment, the core function of the quality comparison and detection module is to convert the construction design drawings into standard three-dimensional models, and compare them with the real-time three-dimensional models generated on site, identify deviation areas, automatically calculate the geometric deviations between models, including differences in spatial distance, angle and depth, and promptly detect any deviations that occur during the construction process. By setting the deviation threshold, the module can determine which deviations exceed the predetermined allowable range and generate a quality report, clearly pointing out the areas that need to be corrected, reducing the workload of manual inspection and quality control, and greatly improving the accuracy and efficiency of construction quality control. By combining with the three-dimensional visualization display module, the deviation areas can be intuitively identified, ensuring that construction personnel can discover and correct problems as soon as possible, avoiding the occurrence of serious quality problems.
[0042] System control decision module, including: Deviation judgment unit, used for: Receiving the deviation detection result from the quality comparison detection module; Setting a tolerance threshold, which is dynamically adjusted according to the construction stage, construction progress and needs of the construction area; Compare the deviation value of each deviation area with the tolerance threshold, and automatically determine whether it exceeds the allowable range. If the deviation value exceeds the threshold range of the tolerance threshold, mark the current deviation area as an area that needs to be corrected; Correction suggestion generation unit for: Based on the deviation judgment results and historical construction data, formulate correction suggestions for each deviation area, the correction suggestions include adjusting the construction method, equipment type, staffing and construction sequence; Summarize all correction suggestions and generate a correction suggestion report; Adjustment instructions are automatically issued to construction site personnel based on the correction suggestion report, and the content of the adjustment instructions includes resource allocation, schedule adjustment and construction strategy adjustment.
[0043] In the above embodiment, by receiving feedback from the quality comparison detection module and combining the construction history data with the real-time data, the system can automatically generate correction suggestions and issue adjustment instructions to the construction site personnel, dynamically adjust the tolerance threshold according to different construction stages, construction areas and construction progress, accurately determine whether corrective measures are needed, and automatically issue adjustment instructions to the construction site personnel based on the correction suggestion report, guiding the construction personnel to optimize the construction methods, equipment types, staffing and construction sequence, so as to achieve refined management of the construction process, improve the overall efficiency and quality of construction, and reduce construction risks and costs.
[0044] The remote communication monitoring module is also used for: Collect data from the 3D scanning device and data processing device on the construction site in real time through wireless and wired methods, and update it to the remote control center in real time; Feedback the equipment status data of the construction site equipment to the remote control center in real time, wherein the equipment status data includes the working status and operating parameters of the equipment; Receiving remote control instructions sent by the remote control center to the equipment at the construction site through the communication platform, wherein the remote control instructions include instructions for starting, stopping, and adjusting working parameters of the equipment; Automatically adjust the working status of the equipment according to remote control instructions; Each time the device executes a remote control command, a confirmation message will be sent to the remote control center.
[0045] In the above embodiment, the main function of the remote communication monitoring module is to realize real-time data transmission and remote control of equipment between the construction site and the remote control center. The data and equipment status of the construction site can be fed back to the remote control center in real time, and the management personnel can promptly understand the progress of the construction site and the equipment operation status. When equipment failure or construction deviation occurs, the remote control center can issue instructions through this module to adjust the working status of the on-site equipment, reduce manual intervention, and improve the automation level of the construction process, breaking the spatial limitations of on-site construction and remote management, and improving the flexibility and response speed of construction site management.
[0046] Furthermore, it also includes: a construction process verification module, which is used to: Calculate a first construction index of the construction area based on the earthwork volume of the construction area, the maximum diameter, the minimum diameter and the depth of the construction area in the real-time three-dimensional model generated by the data processing device;
[0047] in, It is the first construction indicator of the construction area; is the circumference of a circle, is the earthwork volume in the construction area, is the maximum diameter of the construction area; is the minimum diameter of the construction area, is the depth of the construction area; To integrate a function with respect to x, for ; Obtain a picture of the construction area, convert the picture into a grayscale pixel matrix B, and calculate a second construction index of the construction area;
[0048] in, is the intermediate parameter, is the value of the i-th row and j-th column of matrix B, L is the number of rows of matrix B, m is the number of columns of matrix B, DE is the second construction index of the construction area; i=1, 2, 3...L, j=1, 2, 3...m; Determine the verification result of the construction process of the construction area according to the first construction index and the first construction index of the construction area;
[0049] Where rt is the verification result of the construction technology in the construction area; is a natural constant; is the logarithmic function with base e; When it is determined that the verification result rt is greater than a preset threshold, it indicates that the construction process verification of the construction area has passed; otherwise, it indicates that the construction process verification of the construction area has failed.
[0050] The working principle of the above technical solution is as follows: Based on the earthwork volume, maximum diameter, minimum diameter and depth of the construction area in the real-time three-dimensional model, the first construction index (ZB) of the construction area is calculated using a given formula. The formula takes into account the shape of the construction area (described by the maximum diameter and the minimum diameter) and the earthwork volume, as well as the integral calculation of the depth. This index comprehensively reflects some geometric and earthwork-related characteristics of the construction area. The picture of the construction area is obtained and converted into a grayscale pixel matrix B. The average grayscale value (jz) and grayscale standard deviation (DE) of the matrix B are calculated using a given formula as the second construction index of the construction area. The average grayscale value reflects the overall brightness of the image, while the grayscale standard deviation reflects the degree of change in the image brightness. According to the first construction index (ZB) and the second construction index (jz and DE), the verification result (rt) of the construction process is calculated using a given formula. The formula combines the logarithm of the first construction index, the square term and the first-order term of the average grayscale value and the grayscale standard deviation, and is operated through an exponential function. The verification result (rt) is a value between 0 and 1, which is used to indicate the degree of compliance of the construction process. The verification result (rt) is compared with a preset threshold. If the verification result is greater than the preset threshold, it means that the construction process verification of the construction area has passed; otherwise, it means that the construction process verification has failed.
[0051] Beneficial effects of the above technical solution: The construction process verification module determines the verification result of the construction process by calculating the first construction index and the second construction index of the construction area and comprehensively evaluating the two indexes. This method combines information on the shape of the construction area, earthwork volume, image grayscale, etc., and can more comprehensively evaluate the compliance of the construction process. By setting a preset threshold, automatic verification and judgment of the construction process can be achieved, improving the efficiency and accuracy of construction management.
[0052] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.
Claims
1. A three-dimensional visual control system for excavation quality in the canal waterway construction area, characterized in that: include: 3D scanning device for: Scan the construction site, obtain 3D scanning data in real time and generate point cloud data; Data processing means for: Receive point cloud data from a 3D scanning device, pre-process the point cloud data, and convert the point cloud data into a visual real-time 3D model; 3D visualization module for: Visually displaying the processed real-time three-dimensional model through an external image display device, and superimposing identifiers, annotations and real-time data on the real-time three-dimensional model; Quality comparison detection module, used for: Convert construction design drawings into standard 3D models, compare the real-time 3D model with the standard 3D model to obtain model deviations, identify areas where model deviations exceed preset thresholds, mark areas that need correction, and generate quality reports; System control decision module, used for: Receive feedback from the quality comparison and detection module, combine historical construction data with real-time on-site data, generate correction suggestions and issue adjustment instructions to construction site personnel; Remote communication monitoring module for: Based on the network communication facilities deployed at the construction site, the on-site data is transmitted to the remote control center in real time to receive remote control instructions for the equipment; Historical data storage module, used for: Store the data and models collected and generated by the 3D scanning device, data processing device, 3D visualization display module, quality comparison detection module, system control decision module and remote communication monitoring module during the construction process; Prediction module for: Obtain the quality reports generated by the quality comparison and detection module, determine the quality reports corresponding to P construction sites at the same time interval, and perform numerical processing on the quality reports to form a set S. ,in is the value of the first quality report, that is, the value at the time farthest from the current time. is the value of the quality report at the current time, that is, the value of the quality report corresponding to the Pth construction site; Determine monitoring functions for quality reporting; ; in, To monitor the quality of the report; is the i-th value of the set S, For the i-th time, is the circumference of a circle, is the monitoring coefficient to be solved, i=1, 2, 3...P; Solving for the monitoring coefficient ; ; Based on four unknown The monitoring coefficient can be obtained by solving the equation ; According to the solved monitoring coefficient, a prediction function is obtained; ; in, is the prediction function, is the number of times since P, a positive integer, X=1,2…n; The construction time period is determined according to the construction requirements, the maximum X value is determined, and when the value obtained by the prediction function based on the maximum X value is less than the preset quality threshold, a quality warning prompt is generated.
2. The three-dimensional visualization control system for excavation quality in the canal waterway construction area according to claim 1, characterized in that: The three-dimensional scanning device is installed in the construction area, and the scanning angle and frequency are dynamically adjusted according to the construction progress. The three-dimensional scanning data collected in real time by the three-dimensional scanning device is transmitted to the data processing device via wireless or wired communication.
3. The three-dimensional visualization control system for excavation quality in the canal waterway construction area according to claim 1, characterized in that: The data processing device is further used for: receiving point cloud data from a three-dimensional scanning device through wireless or wired communication, wherein the point cloud data includes spatial coordinate information of each point in the scanning area; Preprocess the point cloud data and normalize the coordinates; Generate a real-time three-dimensional model based on the processed point cloud data, wherein the real-time three-dimensional model includes morphological features of the construction area, wherein the morphological features include excavation depth, earthwork volume, and slope angle; According to the known coordinate points and reference points of the construction site, the real-time 3D model coordinate system is adjusted to the actual coordinate system of the construction site; Generate marking points and measuring points on the real-time 3D model, wherein the marking points and measuring points are generated based on construction drawings, design requirements and actual on-site scanning data, and integrate the data of each measuring point and marking point into the real-time 3D model; The marking points are used to mark the areas and features that require attention during the construction process, and the measuring points are used to detect and verify the actual size and shape.
4. The three-dimensional visualization control system for excavation quality in the canal waterway construction area according to claim 1, characterized in that: The three-dimensional visualization display module includes: Model rendering unit, used for: receiving a real-time three-dimensional model from a data processing device; According to the data of the real-time 3D model, the real-time 3D model is converted into a computer graphic representation, and the real-time 3D model is displayed on an image display device through a graphic rendering algorithm, wherein the graphic rendering algorithm includes polygon modeling, lighting calculation and shadow processing; The model rendering unit maintains real-time data exchange with the data processing device, and adjusts and presents in real time according to the progress of on-site construction and the data update of the real-time 3D model; Data overlay unit, used for: receiving point data of the marking point and the measuring point from a data processing device, wherein the point data includes a marking area, deviation data and annotations; Generate markers and measurement points on the real-time 3D model based on the positions determined by the point cloud data and construction drawings, and dynamically adjust the visualization of markers and measurement points based on the actual conditions of the construction site and the viewing angle of the real-time 3D model; Overlaying real-time data of the construction site onto the real-time 3D model, the real-time data including excavation progress, earthwork volume, and slope angle; The data superposition unit superimposes the construction quality report, deviation situation and correction suggestions on the model according to the feedback from the quality comparison and detection module.
5. The three-dimensional visualization control system for excavation quality in the canal waterway construction area according to claim 1, characterized in that: The quality comparison detection module includes: Standard model generation unit for: Receiving construction design drawings, and extracting design data from the construction design drawings, wherein the design data includes geometric shape, size, depth, earthwork volume, and slope angle information; According to the design data in the construction design drawings, convert the design data into a standard 3D model; Adjust the coordinate system of the standard 3D model to the actual coordinate system of the construction site; Deviation detection unit for: Receive standard 3D models and real-time 3D models; Comparing the geometric deviation between the standard 3D model and the real-time 3D model, wherein the calculation of the geometric deviation includes the calculation of the spatial distance, angle and depth difference, and obtaining the deviation value of each area; Setting a deviation threshold, comparing the calculation result of the deviation value with the deviation threshold, identifying the area where the deviation value exceeds the allowable deviation range, and generating a deviation detection result, wherein the deviation detection result includes the deviation area, the deviation value, and the deviation type; Mark the deviation area on the real-time 3D model and display it through the 3D visualization module; Quality feedback generation unit for: A quality report is generated based on the deviation detection result, wherein the content of the quality report includes the position of each deviation area and the deviation value.
6. The three-dimensional visualization control system for excavation quality in the canal waterway construction area according to claim 1, characterized in that: The system control decision module includes: Deviation judgment unit, used for: Receiving the deviation detection result from the quality comparison detection module; Setting a tolerance threshold, which is dynamically adjusted according to the construction stage, construction progress and needs of the construction area; Compare the deviation value of each deviation area with the tolerance threshold, and automatically determine whether it exceeds the allowable range. If the deviation value exceeds the threshold range of the tolerance threshold, mark the current deviation area as an area that needs to be corrected; Correction suggestion generation unit for: Based on the deviation judgment results and historical construction data, formulate correction suggestions for each deviation area, the correction suggestions include adjusting the construction method, equipment type, staffing and construction sequence; Summarize all correction suggestions and generate a correction suggestion report; Adjustment instructions are automatically issued to construction site personnel based on the correction suggestion report, and the content of the adjustment instructions includes resource allocation, schedule adjustment and construction strategy adjustment.
7. The three-dimensional visualization control system for excavation quality in the canal waterway construction area according to claim 1, characterized in that: The remote communication monitoring module is also used for: Collect data from the 3D scanning device and data processing device on the construction site in real time through wireless and wired methods, and update it to the remote control center in real time; Feedback the equipment status data of the construction site equipment to the remote control center in real time, wherein the equipment status data includes the working status and operating parameters of the equipment; Receiving remote control instructions sent by the remote control center to the equipment at the construction site through the communication platform, wherein the remote control instructions include instructions for starting, stopping, and adjusting working parameters of the equipment; Automatically adjust the working status of the equipment according to remote control instructions; Each time the device executes a remote control command, a confirmation message will be sent to the remote control center.
8. The three-dimensional visualization control system for excavation quality in the canal waterway construction area according to claim 1, characterized in that: The historical data storage module is also used for: When querying stored data, the identity and permissions of the querying user are authenticated; Encrypt data during storage and transmission; Configure a disaster recovery mechanism to restore data through backup when data loss or system crash occurs.
9. The three-dimensional visualization control system for excavation quality in the canal waterway construction area according to claim 5, characterized in that: Also includes: Construction process verification module for: Calculate a first construction index of the construction area based on the earthwork volume of the construction area, the maximum diameter, the minimum diameter and the depth of the construction area in the real-time three-dimensional model generated by the data processing device; ; in, It is the first construction indicator of the construction area; is the circumference of a circle, is the earthwork volume in the construction area, is the maximum diameter of the construction area; is the minimum diameter of the construction area, is the depth of the construction area; To integrate a function with respect to x, for ; Obtain a picture of the construction area, convert the picture into a grayscale pixel matrix B, and calculate a second construction index of the construction area; ; ; in, is the intermediate parameter, is the value of the i-th row and j-th column of matrix B, L is the number of rows of matrix B, m is the number of columns of matrix B, DE is the second construction index of the construction area; i=1, 2, 3...L, j=1, 2, 3...m; Determine the verification result of the construction process of the construction area according to the first construction index and the first construction index of the construction area; ; Where rt is the verification result of the construction technology in the construction area; is a natural constant; is the logarithmic function with base e; When it is determined that the verification result rt is greater than a preset threshold, it indicates that the construction process verification of the construction area has passed; otherwise, it indicates that the construction process verification of the construction area has failed.
Citation Information
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