An automatic data collection and monitoring system for hydropower engineering civil construction quality supervision

Abstract

The present invention belongs to the technical field of intelligent engineering quality monitoring and management, and specifically relates to a hydropower engineering civil engineering quality supervision system that automatically collects and monitors data, including a multi-point automatic collection platform for engineering data, an automatic monitoring application platform for civil engineering quality, an engineering quality analysis engine, a design model import module, and an engineering quality monitoring data integration and analysis platform, all of which are connected in sequence. The multi-point automatic collection platform for engineering data allows construction workers to carry the collection equipment with them, and automatically scan and collect engineering quality information after entering a designated work area. The automatic monitoring application platform for civil engineering quality can analyze the collected information using various monitoring modules based on the functions provided by the engineering quality analysis engine, determine whether the civil engineering of each part of the project meets the corresponding quality management requirements, and publish the results to the engineering quality monitoring data integration and analysis platform for integration to form a quality management report.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent engineering quality monitoring and management, and in particular relates to a hydropower engineering civil construction quality supervision system that automatically collects and monitors the quality. Background Art

[0002] In recent years, the scale and number of hydropower project structures have increased, necessitating a growing demand for intelligent, efficient oversight of the civil engineering quality of these projects. This sector of hydropower construction often involves a significant amount of hidden construction work, the results of which are often buried and hidden as the project progresses. Quality and safety issues arising during construction are difficult to detect and remedy later. Consequently, current projects often require construction and supervisory agencies to invest significant manpower resources in repeated inspections and regular monitoring of hidden projects. However, with the increasing number of hydropower projects and rising labor costs, the cost of monitoring hidden projects is also increasing. Summary of the Invention

[0003] In view of the defects of the existing technology, the present invention provides a hydropower project civil construction quality supervision system with automatic collection and monitoring, which can effectively solve the above problems.

[0004] The technical solution adopted in the present invention is as follows:

[0005] The present invention provides a hydropower project civil engineering quality supervision system for automatic collection and monitoring, comprising a multi-point automatic collection platform for engineering data, an automatic monitoring application platform for civil engineering quality, an engineering quality analysis engine, a design model import module, and an engineering quality monitoring data integration and analysis platform, which are connected in sequence;

[0006] Preferably, the multi-point automatic collection platform for engineering data includes an engineering positioning base station, high-definition fixed collection equipment, personnel mobile collection equipment, a model data generation module, and a collection system management module. When construction workers carry collection equipment into a designated engineering area, the collection designation of scanning and shooting can be automatically triggered by obtaining the device coordinates and the device orientation angle. The area is automatically collected without the construction workers' awareness, and actual models and various data of each area are generated.

[0007] The data engineering positioning base station is composed of a positioning system composed of multiple positioning base stations interacting with each other. It periodically publishes positioning information to the collection devices through a set algorithm to obtain the real-time coordinates and direction angles of each collection device, and can send the coordinate information to the engineering quality information collection system management module for data collation.

[0008] The high-definition fixed acquisition equipment includes a zoomable and steerable HD camera, a fixed model scanner, a wireless information transceiver, and a positioning device. It is used to periodically capture and scan the overall progress of the construction area. The wireless transceiver connects to the acquisition system management module, receiving relevant operational commands and returning project model and image information data.

[0009] The personnel mobile data collection equipment includes a variable-focus camera, a portable scanner, a wireless information transceiver, and a coordinate and angle positioning device. When construction workers enter a position and angle suitable for collecting project quality information, it automatically triggers commands to begin filming and scanning. Multiple personnel carrying mobile data collection equipment can acquire project models and image information from multiple angles. The collected information is then transmitted to the wireless transceiver and the data collection system management module via the wireless data collection device.

[0010] The acquisition system management module is deployed in the server where the multi-point automatic acquisition platform for engineering data is located. It obtains the coordinates and direction angles of all acquisition equipment in the construction area through the engineering positioning base station; it analyzes the overall quality monitoring needs of the project based on the engineering specifications and the feedback information from the civil engineering quality automatic monitoring application platform, and formulates a monitoring plan for each project time node based on the construction plan and human resource conditions; it issues automatic detection commands and collects relevant data in the most reasonable and accurate way based on the built-in algorithm. After that, the model data generation module performs weighted calculation processing and integration on the collected data, and then sends it to the civil engineering quality automatic monitoring application platform for various compliance judgments. The built-in calculation method of the acquisition command is briefly described as follows:

[0011] First, a parameter M is set to measure the model acquisition effect. M is the reciprocal of the mean square of the distance deviation between each scanning point of the model acquired by the method of the present invention and the actual precise measurement point position on site:

[0012]

[0013] Where M is the model acquisition accuracy, n is the total number of model scanning points, d i It is the distance between the spatial coordinates collected by the model at each point and the spatial coordinates obtained by actual on-site precise measurement and verification. The higher the M value, the higher the model collection accuracy and the better the collection effect.

[0014] After multiple engineering practice measurements in the early stages, it was found that under the same performance of the acquisition equipment and other external conditions, the model acquisition accuracy is positively correlated with the number of model acquisitions and the overall acquisition accuracy. Based on statistical analysis of a large amount of field acquisition comparison data and nonlinear regression calculations, the relationship function between the model acquisition accuracy M and the number of acquisitions per working day in this area is obtained as follows:

[0015]

[0016] Where x is the number of collections within a working day, K1 is the labor input adjustment coefficient, which reflects the labor and working face input, K2 is the collection integration method adjustment coefficient, which reflects the impact of the collection scheme on the collection accuracy, K3 is the engineering part weight adjustment coefficient, which reflects the degree of requirement of each part of the project for the accuracy of model collection, and a is the regression function adjustment coefficient used to adjust the matching M(x) function relationship to match the actual data. The value range of a is 0 <a<1。C 1、 C2 is the function matching adjustment parameter of M(x).

[0017] The calculation formula of labor input adjustment coefficient K1 is:

[0018]

[0019] where n a is the number of simultaneous working surfaces during the construction period, n b is the average number of workers carrying acquisition equipment on the working face during model data acquisition, K w is the average utilization coefficient of manual collection on each working face, and A is the total area that needs to be collected in this project area.

[0020] K2=K max ×A cc

[0021] where K max A is the highest scanning accuracy coefficient of the acquisition equipment, cc The overall acquisition accuracy of the model.

[0022] K3 reflects the degree of accuracy required for model acquisition in various parts of the project. Areas with higher requirements have higher K3 values, making it more difficult to achieve the required accuracy. The system sets preset values based on past project experience, and operators can modify the weight ratios based on the actual conditions of each project area.

[0023] According to the specification's limit on construction deviation, the M of this project is set. 标准 As a standard value, when M(x)= M 标准 At this time, the value of x0 is the required value of the number of daily collection times in this area. The system will issue collection commands regularly after dividing it by the daily working hours.

[0024] When the required value N of the number of daily collection times in this area is obtained 日 When the system sets the three acquisition accuracy weight coefficients of far, medium and near as R1, R2 and R3 according to the regional characteristics, and R1+ R2+ R3=1, the daily acquisition times N1, N2 and N3 within each range are calculated according to the weight R of the three intervals, and N1+N2+N3=N日 Then, three levels of collection intervals are set according to the distance from the collection point. According to the different distances between the equipment and the observation point during collection, the collection is carried out in the following order: a small collection range for a close distance, a medium collection range for a medium distance, and a large collection range for a long distance. The relationship between the collection distance and the collection range is as follows: 采 / d 采 =C 采 , where A 采 is the collection area, d 采 is the distance to the object to be collected, C 采 To collect index constants, by setting the collection index constants, the collection range area can be automatically adjusted according to the specific distance parameters of the construction personnel within the three levels of collection intervals. Through the above calculation method, automatic collection commands can be issued to the collection objects with reasonable times, cycles, distances, and ranges.

[0025] The model data generation module is deployed in the server of the multi-point automatic collection platform for engineering data. After the collection system management module collects the model and image data collected at the engineering site, it is used to perform calculations, analysis and integration on the models collected at different distances. Based on the different distances between the equipment and the observation point at the time of collection, the collected models are weighted and superimposed in three levels: small range model with high precision, medium range model with medium precision, and large range model with coarse precision. The model is generated and the model material is generated using the on-site shooting data. The weighted calculation method for the collection and integration of model data is as follows:

[0026] First, set the weight coefficients of the three acquisition accuracies of near, medium, and far as R1, R2, and R3. Take the weighted average of the coordinate parameters of the collected model points according to the weights. The weight coefficients R1, R2, and R3 for different project areas are different according to the different content of the collected project objects. Take the x-coordinate calculation formula as an example:

[0027]

[0028] Among them, R1, R2, and R3 are weight adjustment coefficients of three accuracy levels and the sum of the weight coefficients is 1, n 1、 n 2、 n3 is the number of sampling points under three accuracies, x 加权 is the weighted mean of x, x 近i , x 中i , x 远i The x-coordinate values of each point collected at the near, middle, and far levels can be calculated by the same method to obtain the weighted mean of the y and z coordinates of each point. The collected model coordinate data is calibrated and integrated using the above method.

[0029] Preferably, the automatic monitoring application platform for civil engineering quality includes a foundation surface concrete monitoring module, a construction formwork monitoring module, a construction embedded parts monitoring module, and a concrete pouring monitoring module. The algorithms for corresponding work areas, process images, and model recognition are trained based on standard construction graphics library data to achieve quality and safety monitoring of the collected model and image data based on various civil engineering quality standards, and to judge the compliance of the project.

[0030] The foundation surface concrete monitoring module can call the function provided by the engineering quality analysis engine to analyze the foundation surface concrete related field data provided by the engineering quality collection platform, and use the trained corresponding algorithm to perform image recognition and analysis to determine whether there are loose rocks and debris in the area, whether there is water accumulation and stains in the area, and whether the surface treatment of the concrete construction joint meets the requirements; and perform model analysis to determine whether the scanned model matches the design model and whether the foundation surface meets the design requirements.

[0031] The construction template monitoring module can call the function provided by the engineering quality analysis engine to analyze the construction template related field data provided by the engineering quality collection platform, and use the trained corresponding algorithm to perform image recognition and analysis to determine whether the template shape and material meet the design requirements, whether the template surface is smooth and pollution-free, and whether the release agent is evenly applied; and perform model analysis and judgment on whether the template structure is accurate with the design edges, dimensions, and elevations, whether the template is installed accurately and flatly, and whether the board surface gaps and reserved hole positions are correct.

[0032] The construction embedded parts monitoring module can call the function provided by the engineering quality analysis engine to analyze the construction embedded parts related field data provided by the engineering quality collection platform, and use the trained corresponding algorithm to perform image recognition and analysis to judge whether the appearance of the embedded pipeline is complete and rust-free, whether the expansion joint material and the appearance of the water stop are normal, and whether the appearance of the monitoring instrument and the equipment connection are normal; and perform model analysis and judgment on factors such as whether the template structure and the design edge line, the pipeline installation position, elevation, and bending radius meet the requirements, whether the size, installation position, and elevation of the water stop are accurate, whether the template installation is accurate, and whether the specifications and dimensions of the monitoring equipment and the cable protection are correct.

[0033] The reinforced concrete prefabricated component installation monitoring module can call the function provided by the engineering quality analysis engine to analyze the construction embedded parts related field data provided by the engineering quality collection platform, and use the trained corresponding algorithm to perform image recognition and analysis to determine whether the design model is complete, whether the construction appearance is damaged, whether the steel bars are exposed, and whether there is rust pollution; whether the construction center line and axis, height and external dimensions are accurate, whether the verticality offset of the beam and column structure meets the requirements, and whether the coordinate elevation of the prefabricated structure installation position is accurate.

[0034] Preferably, the engineering quality analysis engine includes a model analysis function, an image analysis function, and a data calculation function, and is used to provide basic functional support for each application module of the civil engineering quality automatic monitoring application platform.

[0035] The model analysis function is used to use the engine function to achieve comparison and analysis of models. The engine function can support the comparison and judgment of data models collected from multiple angles with design models through the construction of algorithms to generate more accurate marking and measurement data results. It can realize a series of basic functions such as coordinate integration, marking inheritance, comparative analysis, error measurement, and calculation statistics of field collection models and design models, and provide support for various engineering model quality analysis application functions.

[0036] The image analysis function is used to utilize the engine function to analyze and compare the engineering data and pictures collected on site. It can utilize the coordinates provided by the model analysis function and the feature data groups for each engineering area, each construction site, and each process detail in the standard construction graphics library to realize automatic identification of various engineering elements. It can also realize automatic identification, picture measurement, and data analysis of the appearance, image, appearance, and material engineering factors of each area of the project through corresponding algorithms and multi-angle model data, thereby providing support for various engineering image quality analysis application functions.

[0037] The data calculation function is used to utilize the engine function to realize auxiliary numerical calculation and data statistics of the data involved in the model analysis function and the image analysis function, complete various data calculation tasks, and provide computing power support for various data comparison and analysis functions, so that each analysis function and each engineering quality inspection application module can make systematic calculations on the field data and then compare and judge.

[0038] Preferably, the engineering quality monitoring data integration and analysis platform includes a digital diary module and a report generation module, which are used to collect and organize the engineering quality judgment results of the civil engineering quality automatic monitoring application platform to form an engineering quality model data diary and a report.

[0039] The digital diary module can automatically statistically integrate the data collection results according to the scanning data and the scanning cycle, generate a model file within each scanning cycle, and attach the quality information judgment conclusion and rectification results of the day at the corresponding position of the model. By dragging the time bar, the digital diary of the overall civil engineering quality of the project can be viewed.

[0040] The report generation module can collect and compile the judgment results of each module of the engineering quality automatic monitoring application platform, and at the same time can summarize and organize the quality and safety information of each engineering area and the processing result log content provided by the digital diary module, and add text, pictures and related data according to the standard engineering quality report template to generate a civil engineering quality management report.

[0041] The automatic data collection and monitoring system for hydropower engineering civil construction quality supervision provided by the present invention has the following advantages:

[0042] The present invention integrates technologies such as three-dimensional scanning, artificial intelligence recognition, engineering BIM applications, automatic data calculation, and civil engineering quality supervision to provide a monitoring system for the automatic collection and monitoring of engineering quality information for hydropower engineering civil engineering quality supervision. This system's collection equipment can be worn by on-site construction workers and can automatically complete the task of collecting engineering quality information within a designated area according to relevant specifications without the workers' awareness. The engineering quality monitoring data integration and analysis platform automatically performs quality and safety assessments and generates subsequent processing requirements. The relevant results are then recorded on the engineering quality monitoring data integration and analysis platform to form a log and engineering quality management report. This system utilizes digital means and related equipment to achieve real-time automatic data collection and quality supervision of hydropower engineering civil engineering construction, significantly reducing labor costs for construction and supervision units. Compared to traditional engineering quality management methods, the use of a system that can unconsciously collect quality information significantly improves the supervision of hidden projects, greatly reducing the risk of quality hazards in civil engineering projects. The automatic generation of relevant processing opinions reduces the difficulty of project management and significantly improves the efficiency of project quality management. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 This is the overall architecture diagram of a hydropower project civil construction quality supervision system that automatically collects and monitors the quality of the hydropower project provided by the present invention;

[0044] Figure 2 The automatic acquisition system provided by the present invention is a flow chart for executing acquisition commands;

[0045] Figure 3 This is an execution flow chart of the foundation surface concrete monitoring module provided by the present invention;

[0046] Figure 4 This is an execution flow chart of the construction template monitoring module provided by the present invention;

[0047] Figure 5 This is an execution flow chart of the construction embedded parts monitoring module provided by the present invention;

[0048] Figure 6 This is an execution flow chart of the reinforced concrete prefabricated component installation monitoring module provided by the present invention. DETAILED DESCRIPTION

[0049] In order to make the technical problems, technical solutions and beneficial effects solved by the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0050] The present invention focuses on the difficulties in the field of engineering quality monitoring and provides a hydropower project civil engineering quality supervision system with automatic collection and monitoring. The present invention aims to use three-dimensional scanning, artificial intelligence recognition, engineering BIM application, automatic data calculation and civil engineering quality supervision technologies to realize automatic quality information data collection for hydropower project civil engineering quality supervision, automatic judgment of quality monitoring data of each project area, automatic collation of civil engineering quality monitoring information and other functions, so as to reduce the work costs of on-site construction and supervision personnel, improve the efficiency of civil engineering quality supervision, and better avoid engineering safety risks.

[0051] The present invention provides a hydropower engineering civil construction quality supervision system that automatically collects and monitors Figure 1 It includes a multi-point automatic collection platform for engineering data, an automatic monitoring application platform for civil engineering quality, an engineering quality analysis engine, a design model import module, and an engineering quality monitoring data integration and analysis platform that are connected in sequence.

[0052] The following is a detailed introduction to each functional module:

[0053] (1) Multi-point automatic collection platform for engineering data

[0054] The multi-point automatic engineering data collection platform includes an engineering positioning base station, high-definition fixed collection equipment, personnel mobile collection equipment, a collection system management module, and a model data generation module. It is designed to automatically collect various engineering quality and safety data from construction sites without the knowledge of construction workers, using a series of devices and corresponding algorithms in accordance with relevant specifications and feedback from the civil engineering quality automatic monitoring application platform.

[0055] (1.1) Engineering positioning base station

[0056] The project positioning base station comprises a positioning system composed of multiple interactively arranged base stations, located around the current project implementation site or key quality monitoring areas. Each base station is arranged so that it can locate each other within its positioning range, continuously calibrating the accuracy of the entire positioning system and preventing distortion from vibration or accidental collisions. The project positioning base station transmits real-time signals to the collection equipment positioning devices and other positioning base stations within its range. By comparing the response and return time of these signals, the coordinates of each locator in the collection equipment can be determined, ultimately determining the overall coordinates and angles of the collection equipment.

[0057] (1.2) High-definition acquisition equipment

[0058] The high-definition acquisition equipment is composed of a high-definition camera with variable focus and steering, a fixed model scanner, a wireless information transceiver and a positioning device. The maximum acquisition frequency of the equipment must reach 20Hz or above. It can periodically shoot and scan the overall progress of the macro situation in the construction area. In combination with the needs of work quality monitoring, the acquisition can be from far to near, from simple to detailed, and divided into two to three levels. The long-range acquisition equipment can collect the overall appearance of the current construction area or key areas to generate a low-precision macro quality model within the construction area. The medium and close-range acquisition equipment will focus on monitoring and collecting construction quality information within a specified range to generate a more detailed model. The high-definition acquisition equipment is connected to the acquisition system management module through a wireless transceiver to receive relevant operation commands and return engineering models and image information data.

[0059] (1.3) Personnel mobile collection equipment

[0060] The mobile data collection device includes a variable-focus camera, a portable scanner, a wireless information transceiver, and a coordinate and angle positioning device. The device's maximum data collection frequency must be 50Hz or higher to ensure rapid, intermittent data collection during normal movement, even when the worker's coordinates are correct. It can be mounted on the chest area of a construction worker's hard hat or vest and powered by a lithium battery. Multiple built-in positioning devices determine the device's overall orientation and angle, and maintain real-time data exchange with project positioning base stations within the work area. When a construction worker enters a location and angle suitable for collecting project quality information within the work area, the device automatically triggers, based on periodic quality inspection commands issued by the multi-point automatic project data collection platform, to begin capturing and scanning according to the pre-set collection content requirements within the area. The mobile data collection device can be carried by multiple construction workers, eliminating the need to complete the entire data collection task within a single worker's proximity. Instead, the platform's collection management module enables multi-point, intermittent, and unconscious collection of project quality information tasks within each area. Moreover, for the same engineering quality monitoring and collection task, multiple people can carry mobile collection equipment to complete the acquisition of engineering models and image information from multiple angles. The model data generation module in the collection platform will compare the accuracy of the collected information from multiple angles to reduce errors, and send the collected information to the wireless transceiver and the collection system management module through the wireless transceiver.

[0061] (1.4) Acquisition system management module

[0062] The acquisition system management module is deployed in the engineering data multi-point automatic acquisition platform server.

[0063] Used to make plans and execute quality information data collection for each work area. It can automatically make quality information collection plans for each project area, and obtain the coordinates and directions of all project positioning base stations, personnel mobile collection equipment, and high-definition fixed collection equipment in real time on the management page. After selecting the project area for quality information collection, refer to Figure 2 The acquisition system management module automatically issues periodic data collection commands based on project specifications and feedback from the civil engineering quality automatic monitoring application platform. Data collection is automatically completed when a mobile acquisition device enters a designated area and angle and remains relatively stable. To improve data reliability and enhance the accuracy of the model data generation module, when the acquisition system management module issues a capture command for a specific location, it automatically calculates and generates a scanning point layout algorithm based on the construction area and target type, determining appropriate measurement points. The algorithm primarily determines the project area and target type by capturing four to six sets of photos and model information along one to three X, Y, and Z axes (some scan targets, such as regional wall surfaces, only scan along the X axis), from a distance to a near distance. For targets with complex external structures or key construction quality monitoring targets, such as embedded component monitoring equipment or key civil engineering sections, two additional scans are required at the location, along one to three X, Y, and Z axes, at 45-degree angles. Because the demand for construction quality monitoring often increases in tandem with the progress of the corresponding work area, a large number of construction workers will frequently move around the project quality monitoring area to complete various construction tasks during the construction period. Therefore, after the collection system management module issues a collection command, each mobile collection device will generally have sufficient data collection opportunities and time to complete its collection tasks. Furthermore, if a single scan is interrupted, the collection system management module's backend will record the acquired data, allowing other collection devices to continue collecting the unscanned data when they enter the area. If a construction area or angle occurs within a certain period of time without any mobile devices entering for collection, the collection platform will issue a special collection command, instructing the administrator to use a collection device to complete the data collection in the "missing" areas of the civil engineering project. This method can address rare collection system defects and prevent construction workers from deliberately avoiding problem areas. Once data collection is complete, the collection platform will pass the relevant data to the model data generation module, which processes and integrates the collected data before sending it to the civil engineering quality automatic monitoring application platform for various compliance assessments. The built-in calculation method for the collection command is:

[0064] First, a parameter M is set to measure the model acquisition effect. M is the reciprocal of the mean square of the distance deviation between each scanning point of the model acquired by the method of the present invention and the actual precise measurement point position on site:

[0065]

[0066] Where M is the model acquisition accuracy, n is the total number of model scanning points, d i It is the distance between the spatial coordinates collected by the model at each point and the spatial coordinates obtained by actual on-site precise measurement and verification. The higher the M value, the higher the model collection accuracy and the better the collection effect.

[0067] After multiple engineering practice measurements in the early stages, it was found that under the same performance of the acquisition equipment and other external conditions, the model acquisition accuracy is positively correlated with the number of model acquisitions and the overall acquisition accuracy. Based on statistical analysis of a large amount of field acquisition comparison data and nonlinear regression calculations, the relationship function between the model acquisition accuracy M and the number of acquisitions per working day in this area is obtained as follows:

[0068]

[0069] Where x is the number of collections within a working day, K1 is the labor input adjustment coefficient, which reflects the labor and working face input, K2 is the collection integration method adjustment coefficient, which reflects the impact of the collection scheme on the collection accuracy, K3 is the engineering part weight adjustment coefficient, which reflects the degree of requirement of each part of the project for the accuracy of model collection, and a is the regression function adjustment coefficient used to adjust the matching M(x) function relationship to match the actual data. The value range of a is 0 <a<1。C 1、 C2 is the function matching adjustment parameter of M(x). According to the formula of function M(X), it can be seen that the model acquisition accuracy increases more and more slowly with the increase of acquisition times. M(x) has an upper limit. The value of C1×K2 / K3 is the upper limit of acquisition accuracy under current conditions and acquisition equipment accuracy.

[0070] The calculation formula of labor input adjustment coefficient K1 is:

[0071]

[0072] where n a is the number of simultaneous working surfaces during the construction period, n b is the average number of workers carrying acquisition equipment on the working face during model data acquisition, K w is the average utilization factor of manual data collection at each working face, and A is the total area to be collected in the project area. The value of K1 reflects the number and degree of active data collection equipment based on the number and efficiency of working faces and workers.

[0073] K2=K max ×A cc

[0074] where K max A is the highest scanning accuracy coefficient of the acquisition equipment, cc is the overall acquisition accuracy of the model, A ccAffected by the acquisition method, generally speaking, the higher the proportion of high-precision acquisition points in the total number of collected points, the higher the overall acquisition accuracy of the model, but the slower the acquisition speed.

[0075] K3 reflects the degree of accuracy required for model acquisition in each project area. The higher the requirements, the higher the K3 value, and the more difficult it is to achieve the required model acquisition accuracy. The system sets preset values based on previous project experience, and operators can also modify the weight ratio based on the actual conditions of each project area. The following table uses several major project areas as examples to illustrate the trend of project area weight adjustment coefficients. In practice, further detailed divisions will be made based on the characteristics of each sub-area of the project area:

[0076]

[0077] The trend of the weight adjustment coefficient of the project part is that the weight coefficient is higher for the part with greater impact on project safety, the part with more dense personnel, and the part with higher requirements for construction accuracy. The above table only shows the average value of each part. The weight adjustment coefficient of each project part, such as the pressure pipeline construction part of the important part of the water supply system, is also relatively high.

[0078] According to the trend of the M(x) function, the more times the acquisition is performed, the higher the M value is, and the higher the model acquisition accuracy is. However, the increase in the number of acquisitions will increase the performance requirements and losses of the system server and various supporting equipment, and the model acquisition speed will also be slower. According to the function trend, the slope of the model acquisition accuracy M(x) will continue to decrease with the increase of the number of acquisitions x, and there is an upper limit, so the number of acquisitions should not be too high. Therefore, in actual projects, the M value of this project will be set according to the limit requirements of the engineering construction deviation value in the specification. 标准 As a standard value, when M(x)= M 标准 At this time, the value of x0 is the required value of the number of daily collection times in this area. The system will issue collection commands regularly after dividing it by the daily working hours.

[0079] When the required value N of the number of daily collection times in this area is obtained 日 When the system sets the three acquisition accuracy weight coefficients of far, medium and near as R1, R2 and R3 according to the regional characteristics, and R1+ R2+ R3=1, the daily acquisition times N1, N2 and N3 within each range are calculated according to the weight R of the three intervals, and N1+N2+N3=N 日 Then, three levels of collection intervals are set according to the distance from the collection point. 采 ∈(0, d1] is defined as the close-range acquisition interval. 采 ∈(d1, d2] is defined as the mid-range acquisition interval. 采∈(d2, d3] is defined as the long-distance acquisition interval, where d1<d2<d3, and the value of d is related to parameters such as the size of the object to be collected, the accuracy of the equipment, and the maximum single acquisition range of the equipment. According to the different distances between the equipment and the observation point during collection, the collection is carried out in the following order: the collection range is small for close distances, the collection range is medium for medium distances, and the collection range is large for long distances. The relationship between the collection distance and the collection range is as follows: 采 / d 采 =C 采 , where A 采 is the collection area, d 采 is the distance to the object to be collected, C 采 To collect index constants, by setting the collection index constants, the collection range area can be automatically adjusted according to the specific distance parameters of the construction personnel within the three levels of collection intervals. Through the above calculation method, automatic collection commands can be issued to the collection objects with reasonable times, cycles, distances, and ranges.

[0080] (1.5) Model data generation module

[0081] The model data generation module is deployed in the engineering data multi-point automatic acquisition platform server.

[0082] After the acquisition platform returns models and images of the inspection area within the project, the acquisition system management module collects model and image data from the construction site. The algorithm analyzes and integrates models collected at different distances using a categorized algorithm. The algorithm first categorizes the collected models into three levels: small-scale models with high precision, medium-scale models with medium precision, and large-scale models with coarse precision. This is then weighted and combined based on the level of collected information, with different weighting coefficients assigned to different work areas and identified model objects. The model data generation algorithm also calibrates the model using data collected from multiple angles and distances. It verifies key points of the model's outer contours using the differences in acquisition angles, removing errors and unusual noise. Using on-site photographs of each construction monitoring object, the model is attached to the corresponding model locations using authentic on-site photo materials. The generated models and attached material images serve as the basis for measurement and quality compliance assessment within the various application modules of the civil engineering quality automatic monitoring application platform.

[0083] The weighted calculation method for model data collection and integration is:

[0084] First, set the weight coefficients of the three acquisition accuracies of near, medium, and far as R1, R2, and R3. Take the weighted average of the coordinate parameters of the collected model points according to the weights. The weight coefficients R1, R2, and R3 for different project areas are different according to the different content of the collected project objects. Take the x-coordinate calculation formula as an example:

[0085]

[0086] Among them, R1, R2, and R3 are weight adjustment coefficients of three accuracy levels and the sum of the weight coefficients is 1, n 1、 n 2、 n3 is the number of sampling points under three accuracies, x 加权 is the weighted mean of x, x 近i , x 中i , x 远i The x-coordinate values of each point collected at the near, middle, and far levels can be calculated by the same method to obtain the weighted mean of the y and z coordinates of each point. The collected model coordinate data is calibrated and integrated using the above method.

[0087] (2) Civil engineering project quality automatic monitoring application platform

[0088] The automatic monitoring application platform for civil engineering quality includes a foundation surface concrete monitoring module, a construction formwork monitoring module, a construction embedded parts monitoring module, and a reinforced concrete prefabricated component installation monitoring module. Utilizing the functions provided by the engineering quality analysis engine, the data collected on-site is compared and analyzed with the design model data based on the built-in system standard construction graphics library and the required construction quality and safety specifications. At the same time, the data in the standard construction graphics library is used to train the recognition algorithm for each work area process, and a feature discrimination data group for each recognition item is obtained. After that, each module automatically judges the safety and compliance of various construction results on-site in each civil engineering construction area based on the training results data and the corresponding algorithm process, and records the relevant data judgment and reports it to the engineering quality monitoring data integration and analysis platform for statistics or early warning.

[0089] (2.1) Foundation surface concrete monitoring module

[0090] The foundation surface concrete monitoring module can call the functions provided by the engineering quality analysis engine to analyze the foundation surface concrete related field data provided by the engineering quality collection platform, and use the image analysis function, model analysis function, and data calculation function provided by the engineering quality analysis engine to analyze the photos taken on the construction site and the scanned model to read the field data. Then, the feature data group of each construction process and quality inspection item obtained through algorithm training stored in the standard construction graphic library is compared with the feature data group read from the image and model to identify various engineering quality analysis elements, and reference Figure 3 Perform the following calculations and judgments:

[0091] ①Compare the on-site photos with the corresponding work area appearance in the standard construction graphic library at the image level to identify whether there are rocks, gravel, and other debris in the bedrock position of the construction area. If there are, calculate the size of the rocks and debris by obtaining the coordinates and angle information of the internally captured photos and the theoretical design ratio of the corresponding area of the construction design model;

[0092] ② Determine whether there is reflective water on the surface of each construction bedrock or stains on the material surface in the picture, and calculate the area size based on the distance;

[0093] ③ Check whether the surface treatment part of the concrete construction joint has been cleaned, whether it reflects the accumulated water surface, and whether there are soil and stone impurities according to the standard construction joint sample pictures in the standard construction graphic library.

[0094] ④ Overlap and compare the on-site scanning model provided by the model data generation module with the design model to determine whether the errors between the position, orientation, range, and contour coordinates of the foundation surface concrete and the design model are within an acceptable range, and whether the actual image of the foundation surface concrete matches the corresponding part of the design model.

[0095] ⑤ Combine image analysis, data calculation modules, and scanning models to calculate and judge the construction quality details of the concrete foundation surface, such as: measuring whether the total area of water accumulation and seepage in the construction area is greater than 5% of the entire surface of the concrete foundation, whether the single water accumulation area is less than 2㎡, whether the error of the concrete construction joint coordinates exceeds 2cm, etc., and report the results to the engineering quality monitoring data integration and analysis platform.

[0096] After the calculation and judgment are completed, the application module will compare the measured values with the specification requirements. If the relevant specifications are not met, the data situation will be recorded as an exception and sent to the concrete engineering quality automatic monitoring application platform for early warning, reporting, and other operations. If the requirements are met, it will be necessary to determine whether further data collection is required. If necessary, further inspection requirements will be fed back to the engineering data collection system. If not, the relevant data will be recorded in the engineering quality management report, ending the engineering monitoring and judgment process of the current module.

[0097] (2.2) Construction formwork monitoring module

[0098] The construction template monitoring module can call the functions provided by the engineering quality analysis engine to analyze the concrete template data of the construction site area provided by the engineering quality collection platform, and use the image analysis function, model analysis function, and data calculation function provided by the engineering quality analysis engine to analyze the photos taken at the construction site and the scanned model to read the on-site data. Then, the feature data group of each construction process and quality inspection item obtained through algorithm training stored in the standard construction graphic library is compared with the feature data group read from the image and model to identify various engineering quality analysis elements, and reference is made to the Figure 4 Perform the following calculations and judgments:

[0099] ①Compare the construction template photos taken at various angles on site with the template photos used in the current project area in the standard construction graphic library at the image level, and calculate the various dimensional data of the construction template through the shooting angle coordinate information and design model information, so as to determine whether the template dimensions, installation form, and material specifications used in the calculation are in line with the requirements of the corresponding construction area.

[0100] ② Before pouring construction, determine whether the surface of each concrete pouring construction formwork in the picture is smooth and free of stains and dirt. If stains exist, calculate the relevant area based on the shooting distance to make compliance judgments according to the requirements of the specifications.

[0101] ③ Before pouring construction, determine whether the release agent on the surface of each concrete pouring construction formwork in the picture is evenly applied, and compare it with the picture of the formwork release agent completed in the standard construction graphic library. If there is any inconsistency or unevenness, the program will record the relevant data for compliance judgment according to the specification requirements.

[0102] ④Compare the on-site scanning model provided by the model data generation module with the design model to determine whether the design edge, outline size, elevation and coordinates of the building warehouse to be poured are within an acceptable range compared with the design model. After installing the formwork, perform feature judgment on the on-site collected model, identify the model of the building structure edge and the internal and external formwork, and measure whether the error range between the building structure edge and the internal and external formwork design edge is within ±10mm to determine whether the construction of the concrete pouring formwork to be installed complies with the specifications.

[0103] ⑤ After the casting formwork is installed, the construction site model obtained by the engineering data acquisition system is used to automatically identify the outline of each installed formwork, and the flatness of each formwork is automatically calculated using the model data. Specifically, this includes statistically measuring the distance between adjacent panels, measuring and calculating the local flatness of each formwork, reading and obtaining the elevation parameters of the load-bearing formwork, and comparing the data collected from at least two different angles to verify the reliability of key information such as the load-bearing formwork elevation.

[0104] ⑥ Use the template model information collected from multiple angles on site to perform model identification and measurement statistics on the centerline position and internal cross-sectional dimensions of each reserved hole in the template. Take the average measurement value of each angle of the hole shape centerline as the final value for judgment. Use all panel models scanned in the construction area to measure the gap size between each panel surface to determine whether each installed template is compliant.

[0105] After the calculation and judgment are completed, the application module will compare the measured values with the specification requirements. If the relevant specifications are not met, the data situation will be recorded as an exception and sent to the concrete engineering quality automatic monitoring application platform for early warning, reporting, and other operations. If the requirements are met, it will be necessary to determine whether further data collection is required. If necessary, further inspection requirements will be fed back to the engineering data collection system. If not, the relevant data will be recorded in the engineering quality management report, ending the engineering monitoring and judgment process of the current module.

[0106] (2.3) Construction embedded parts monitoring module

[0107] The construction embedded parts monitoring module can call the engineering quality analysis engine to provide functions to analyze the on-site data of the installation process of each embedded part in the on-site construction area provided by the engineering quality collection platform, and use the image analysis function, model analysis function, and data calculation function provided by the engineering quality analysis engine to analyze the photos taken at the construction site for the concealed project and the scanned model to read the on-site data. After that, the feature data group of each construction process and quality inspection item obtained through algorithm training stored in the standard construction graphic library is compared with the feature data group read from the image and model to identify various engineering quality analysis elements, and reference is made to the Figure 5 Perform the following calculations and judgments:

[0108] ① During the installation of embedded parts, the image data captured by on-site scanning and the standard construction graphic library are compared and relevant algorithms are used to collect and automatically identify whether the embedded parts are complete in appearance, whether the pipe material complies with the relevant contract agreement, such as whether the pipe is galvanized, and whether the embedded parts are corroded. This is used for subsequent compliance judgment and recording of hidden project historical archives.

[0109] ② During the installation of embedded parts, the image data captured by on-site scanning and the standard construction graphic library are compared, and the appearance of embedded water-stop plates and other materials are judged using relevant algorithms. The current water-stop material is compared to see whether it is consistent with the relevant specifications and historical data in the standard construction graphic library and relevant contracts. The algorithm is used to determine in turn whether the surface of the water-stop plates (belts) and water-stop bases in the on-site pictures is smooth, and whether there are loose skin, rust, oil stains, sand holes, nail holes, cracks, etc. If there are minor appearance problems mentioned above, the relevant area size will be calculated according to the shooting angle to determine whether it is compliant, whether it needs to be recorded, and other early warning and rectification measures.

[0110] ③ During the installation of embedded parts, the image data captured by on-site scanning and the standard construction graphic library are compared, and the relevant algorithms are used to judge the appearance of the monitoring and measurement instruments installed on-site. The model records of the current monitoring equipment in the relevant contract and the appearance characteristics of the corresponding specification detection equipment in the standard construction graphic library are compared to determine whether the equipment model specifications are correct. At the same time, after the installation is completed, this module will focus on comparing the standard construction graphic library to determine whether the main data connection sockets of the equipment are connected normally.

[0111] ④ Use the automatic data acquisition platform to obtain the pre-buried pipeline model for on-site construction, and use the model analysis and data calculation functions to automatically identify and measure the pipeline installation location coordinates and elevation, bending radius, specifications and dimensions, etc. Use multi-angle scanning data to mark the pre-buried pipeline inlet and outlet measurements to obtain the centerline direction angle data, and classify and measure the bending radius according to the application type of different pipelines. Subsequently, it will be compared with the various standard spatial coordinate values of the embedded part model design for compliance judgment.

[0112] ⑤ Use the automatic acquisition platform to obtain the on-site waterstop installation construction model, and use the model analysis and data calculation functions to automatically identify and measure the installation position coordinates and elevation of the waterstop. After identifying the waterstop according to the model and image features, measure its own geometric dimension deviation value, and automatically scan the model to measure the deviation value between the waterstop installation center line and the center line of the building structure joint. At the same time, according to the material characteristics provided by the model and shooting information, judge whether the relevant overlapping construction parts meet the specifications according to the type of overlapping materials and the different overlapping construction methods.

[0113] ⑥ Utilize the automated data acquisition platform to obtain the installation and construction models of all monitoring instruments currently installed within the building. Using model analysis and data calculation functions, automatically identify and measure the installation location coordinates and elevations of the monitoring instruments. By comparing the scanned equipment model, the automated recognition algorithm, and the standard construction graphics library for this type of monitoring instrument, the module determines whether the monitoring instrument model can be effectively fixed within the building model. It also determines whether mounting structures such as anchor rods or bolts fit snugly against the building surface on the model, and whether the installation and positioning methods comply with the corresponding equipment installation specifications. Automatically comparing the scanned results of the on-site model, the standard construction graphics library, and the corresponding algorithms determines whether the main cable connections of the equipment are securely installed and tightly connected, whether the main cables of the instruments are properly protected when passing through structural joints, and whether the required safety distance between the cables and the construction joints is maintained. The module automatically issues on-site commands to collect the corresponding information for various compliance assessments.

[0114] After the calculation and judgment are completed, the application module will compare the measured values with the specification requirements. If the relevant specifications are not met, the data situation will be recorded as an exception and sent to the concrete engineering quality automatic monitoring application platform for early warning, reporting, and other operations. If the requirements are met, it will be necessary to determine whether further data collection is required. If necessary, further inspection requirements will be fed back to the engineering data collection system. If not, the relevant data will be recorded in the engineering quality management report, ending the engineering monitoring and judgment process of the current module.

[0115] (2.4) Reinforced concrete prefabricated component installation monitoring module

[0116] The reinforced concrete prefabricated component installation monitoring module can call the engineering quality analysis engine to provide functions to analyze the on-site data of the reinforced concrete prefabricated component installation process in the on-site area provided by the engineering quality collection platform. It uses the image analysis function, model analysis function, and data calculation function provided by the engineering quality analysis engine to analyze the photos taken on the construction site and the scanned model to read the on-site data. Then, the feature data group of each construction process and quality inspection item obtained through algorithm training stored in the standard construction graphic library is compared with the feature data group read from the image and model to identify various engineering quality analysis elements, and reference is made to the Figure 6 Perform the following calculations and judgments:

[0117] ① Before installing reinforced concrete prefabricated components, the image data captured by on-site scanning is compared with the standard construction graphic library data. The relevant algorithm is used to automatically collect images from multiple angles such as the front, side, bottom, and top. The images are compared with the standard construction graphic library and design drawings to determine whether the control dimensions of the reinforced concrete prefabricated components are consistent with the drawings, and whether the component material model and main parameter indicators correspond to the contract and relevant specifications.

[0118] ② Before installing reinforced concrete prefabricated components, the integrity of the components is judged based on the characteristics of different types of components. The image information collected on site is compared with the standard construction graphic library to determine whether there is rust, pollution, distortion, damage, or incompleteness on the component surface. If so, the correlation degree is automatically calculated based on the shooting angle for further compliance operation judgment.

[0119] ③ Before installing reinforced concrete prefabricated components, the component model scanned on site shall be overlapped and compared with the design model or drawing section to determine whether the overall model specifications of the on-site component model meet the specifications and contract requirements, measure the positions of the center lines of various parts of the components and substructures, and measure whether the dimensions of each structure deviate from the design plan.

[0120] ④ Before installing reinforced concrete prefabricated components, use the on-site scanning model, standard construction graphic library and component automatic recognition and marking algorithm to measure the verticality offset of each column structure in the component body according to its component category, the offset between the upper surface of the corbel and the column top elevation, the beam axis offset, the beam top elevation, the offset between the center line of the lower chord of the roof truss and the axis, the verticality offset of the truss and arched roof truss, the flatness offset of two adjacent prefabricated slabs, the main body offset of the prefabricated pipe and well components, etc., for comparison with relevant document data such as specifications and contracts and other compliance judgments.

[0121] ⑤ During the installation of reinforced concrete prefabricated components, the automatic data acquisition system is used to obtain the component and building structure models at the site. The engine function and related algorithms are used to determine the importance of the collected data for compliance judgment. The installation elevation, position, and angle data of the prefabricated components are measured and recorded for compliance judgment. Based on the design model coordinates, commands are automatically issued to focus on scanning the model of the connection between the prefabricated components and the building structure. The relevant algorithms are used to calculate and determine whether the connection is effective and whether the connection strength meets the relevant specifications.

[0122] After the calculation and judgment are completed, the application module will compare the measured values with the specification requirements. If the relevant specifications are not met, the data situation will be recorded as an exception and sent to the concrete engineering quality automatic monitoring application platform for early warning, reporting, and other operations. If the requirements are met, it will be necessary to determine whether further data collection is required. If necessary, further inspection requirements will be fed back to the engineering data collection system. If not, the relevant data will be recorded in the engineering quality management report, ending the engineering monitoring and judgment process of the current module.

[0123] (3) Engineering Quality Analysis Engine

[0124] The engineering quality analysis engine includes model analysis function, image analysis function, and data calculation function, and is used to provide a series of basic functions involving image analysis, model analysis, and data statistics for each application module of the civil engineering quality automatic monitoring application platform, and provide support for various engineering model quality analysis application function modules.

[0125] (3.1) Model analysis function

[0126] The model analysis function utilizes engine functions to compare and analyze models, providing a basic functional framework for various types of model comparison and analysis. The engine function supports the construction of algorithms to compare and judge data models collected from multiple angles with the design model to generate more accurate marking and measurement data results. It can realize a series of basic functions such as coordinate integration, mark inheritance, comparative analysis, error measurement, and calculation statistics for field-collected models and design models, providing support for various engineering model quality analysis applications.

[0127] (3.2) Image analysis function

[0128] The image analysis function is used to provide various basic functional frameworks for comparative analysis of construction images. The image analysis engine function can automatically identify various engineering elements in the current collected pictures based on the feature data groups, obtain the feature data groups of various construction quality elements involved in the on-site collected pictures, and can also automatically measure and read various engineering factors such as length, angle, distance, material quality, etc. involved in the construction process, installation progress, and process methods of each link based on multi-angle images, providing support for various engineering image quality analysis application functions.

[0129] (3.3) Data calculation function

[0130] The data calculation function is used to provide a basic functional framework for various data calculations, perform auxiliary numerical calculations and data statistics on the data involved in the model analysis function and image analysis function, provide computing power support for the analysis needs of each application module, and measure, calculate, and count various engineering index parameters according to relevant formulas for use in various compliance judgments in the engineering quality inspection application module.

[0131] (IV) Engineering quality monitoring data integration and analysis platform

[0132] The project quality monitoring data integration and analysis platform includes a digital diary module and a report generation module. It is used to digitally record the data, conclusions, and on-site processing results collected, organized, and judged by the multi-point automatic project data collection platform and the civil engineering quality automatic monitoring application platform. This data is then linked to the project site scan models of each period over time to form a project quality management report.

[0133] (4.1) Engineering Digital Diary Module

[0134] The project digital diary module records various types of information discovered and processed by the quality monitoring platform and displays them sequentially by construction date and progress within the model provided by the acquisition platform. It automatically aggregates data collection results based on the scanning cycle and associates quality information, judgment conclusions, and processing results within the cycle with corresponding project locations and time points. The entire project quality diary and construction records of each hidden project can be viewed by dragging a time bar.

[0135] (4.2) Report generation module

[0136] The report generation module is used to collect and compile the judgment results of each module of the engineering quality automatic monitoring application platform. At the same time, it can summarize and organize the quality and safety information of each engineering area and the processing result log content provided by the digital diary module. After preparing or entering the standard engineering quality report template for each construction area according to the contract and relevant specifications, it automatically searches for the corresponding engineering quality information content from the corresponding work area and process node records, adds text, pictures and related data, and generates a civil engineering quality management report.

[0137] The following uses the quality supervision work of a hydropower project construction site as an example to illustrate the implementation method of the hydropower project construction quality supervision system of the present invention that automatically collects and monitors data:

[0138] S01, Before the construction of civil engineering projects, it is necessary to complete the 3D design BIM modeling work of the corresponding engineering area; it is necessary to use the engineering quality analysis engine and the corresponding programming language framework to complete the development and testing of the application modules of the multi-point automatic collection platform for engineering data, the automatic monitoring application platform for civil engineering quality, and the engineering quality monitoring data integration and analysis platform; it is necessary to build a standard construction graphics library, and complete the artificial intelligence recognition training of images and models of each area and each process based on the data in the standard construction graphics library, and obtain the standard feature data set of each engineering construction and quality analysis element.

[0139] S02. Deploy an on-site or network server to collect or upload field data acquired by various collection devices within the multi-point automatic collection platform for engineering data. Install and deploy the corresponding applications for the multi-point automatic collection platform for engineering data, the automatic civil engineering quality monitoring application platform, and the engineering quality monitoring data integration and analysis platform within the server.

[0140] S03: Based on the construction progress and regulatory requirements, the multi-point automatic data collection platform, including the project positioning base stations and high-definition fixed data collection equipment, will be installed on-site in areas subject to civil engineering quality supervision. During installation, the positioning base stations must be located within at least two-way positioning of each other, and the high-definition fixed data collection equipment must be able to effectively observe and collect images and model information from key construction areas. Furthermore, based on the density and speed of information collection required at the construction site, mobile data collection equipment will be deployed on the chest area of the helmets and vests of multiple construction workers in the corresponding work area.

[0141] S04: Run the multi-point automatic project data collection platform application on-site or on a network server to test the functions of the collection system management module and the model data generation module. The collection system management module should be able to query and control the operating status of each installed and deployed project positioning base station, high-definition fixed collection equipment, and personnel mobile collection equipment, and should be able to detect the coordinates and angle data of each personnel mobile collection equipment.

[0142] S05. The person in charge of construction supervision activates the functions of each platform according to the needs of the project, uses the acquisition system management module to issue the engineering data acquisition command, and uses various acquisition devices to automatically collect the on-site engineering quality model data from multiple angles and cycles. After the data collection is completed, the model data generation module is used to generate the on-site corresponding construction area model and material data, and the model data file is trimmed and processed.

[0143] S06: Use the design model import module to import the corresponding area's 3D BIM model of the engineering design into the civil engineering quality automatic monitoring application platform. The design model should include coordinate information for each engineering area. The data acquisition platform will automatically publish real-time on-site model, image, and other data information to the civil engineering quality automatic monitoring application platform. By comparing the coordinates of the collected data with the coordinates of the design model, each engineering area is identified and the corresponding data information is published to the quality monitoring content application module for compliance assessment.

[0144] S07, using the foundation surface concrete monitoring module, construction formwork monitoring module, construction embedded parts monitoring module, and reinforced concrete prefabricated component installation monitoring module, will conduct compliance judgments on the images and model data collected on-site based on the specifications and standards of the corresponding work areas and processes. The platform will automatically send the operation suggestions and treatment plan information of the corresponding model area to the engineering quality monitoring data integration and analysis platform for display, early warning, and record organization.

[0145] In S08, the person in charge of construction supervision uses the project quality monitoring data integration and analysis platform to monitor and urge on-site construction personnel to address or repair designated issues based on the relevant issues or rectification suggestions displayed and warned on the construction model upper limit until the monitoring data integration and analysis platform no longer displays relevant issues. At the same time, the person in charge of construction supervision uses the digital diary module to record relevant quality issues and treatment results. When needed, the report generation module uses the built-in template file to export it into a standard civil engineering quality management report for the corresponding construction period, which is convenient for later archiving and query.

[0146] The present invention utilizes the integration of technologies such as 3D scanning, artificial intelligence recognition, engineering BIM application, automatic data calculation, and civil engineering quality supervision to achieve real-time automatic data collection and quality supervision of civil construction of hydropower projects, which can greatly reduce the labor costs of construction and supervision units. Compared with traditional engineering quality management methods, the present invention uses a system that can unconsciously collect quality information to greatly improve the supervision effect of hidden projects, which can greatly reduce the risk of quality hazards in civil engineering projects. The automatic generation of relevant processing opinions reduces the difficulty of engineering management and greatly improves the efficiency of engineering quality management.

[0147] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A hydropower project civil construction quality supervision system for automatic collection and monitoring, characterized by: It includes a multi-point automatic collection platform for engineering data, an automatic monitoring application platform for civil engineering quality, an engineering quality analysis engine, a design model import module, and an engineering quality monitoring data integration and analysis platform; The multi-point automatic collection platform for engineering data includes an engineering positioning base station, high-definition fixed collection equipment, personnel mobile collection equipment, a model data generation module, and a collection system management module. When construction workers carry collection equipment into a designated engineering area, the platform automatically triggers scanning and shooting by obtaining the device coordinates and orientation angle. The platform automatically collects data from the area without the construction workers' awareness, and generates actual models and various data for each area. The automatic civil engineering quality monitoring application platform includes a foundation surface concrete monitoring module, a construction formwork monitoring module, a construction embedded parts monitoring module, and a reinforced concrete prefabricated component installation monitoring module. It trains algorithms for image and model recognition of corresponding work areas and processes based on standard construction graphic library data to enable quality and safety monitoring of collected model and image data in accordance with various civil engineering quality standards, and to determine project compliance. The engineering quality analysis engine includes model analysis function, image analysis function, and data calculation function, which is used to provide basic functional support for each application module of the civil engineering quality automatic monitoring application platform; The engineering quality monitoring data integration and analysis platform includes a digital diary module and a report generation module, which is used to collect and organize the engineering quality judgment results of the civil engineering quality automatic monitoring application platform to form an engineering quality model data diary and a report; The personnel mobile data collection device includes a zoom camera, a portable scanner, a wireless information transceiver, and a coordinate and angle positioning device. When a construction worker enters a position and angle suitable for collecting project quality information, it automatically triggers a command to start shooting and scanning operations. Multiple personnel carry mobile data collection devices to complete the acquisition of project models and image information from multiple angles, and the collected information is sent to the wireless transceiver and the collection system management module via the wireless data collection device. The collection system management module is deployed in the server where the multi-point automatic collection platform for engineering data is located, and obtains the coordinates and direction angles of all collection equipment in the construction area through the engineering positioning base station; it analyzes the overall quality monitoring needs of the project based on engineering specifications and feedback from the civil engineering quality automatic monitoring application platform, and formulates monitoring plans for each project time node based on the construction plan and human resource conditions; it issues automatic detection commands and collects relevant data in the most reasonable and accurate manner based on the built-in algorithm; and then, after weighted calculation and integration of the collected data by the model data generation module, it is sent to the civil engineering quality automatic monitoring application platform for various compliance judgments.

2. The automatic data collection and monitoring system for hydropower engineering civil construction quality supervision according to claim 1 is characterized in that The engineering positioning base station is composed of multiple positioning base stations interacting to form a positioning system. It periodically releases positioning information to the collection devices through a set algorithm to obtain the real-time coordinates and direction angles of each collection device, and can send the coordinate information to the engineering quality information collection system management module for data collation; The high-definition fixed acquisition equipment includes a high-definition camera with variable focus and steering, a fixed model scanner, a wireless information transceiver, and a positioning device; it is used to periodically capture and scan the overall progress of the macro situation in the construction area, and is connected to the acquisition system management module via the wireless transceiver to receive relevant operation commands and return engineering model and image information data; The built-in calculation method of the acquisition command in the acquisition system management module is briefly described as follows: First, a parameter M is set to measure the model acquisition effect. M is the reciprocal of the mean square of the distance deviation between each scanning point of the model acquired by the method of the present invention and the actual precise measurement point position on site: Where M is the model acquisition accuracy, n is the total number of model scanning points, d i The M value is the distance between the spatial coordinates of each point model collected and the spatial coordinates obtained by actual on-site precise measurement and verification. The higher the M value, the higher the model collection accuracy and the better the collection effect. After multiple engineering practice measurements in the early stage, it was found that under the same performance of the acquisition equipment and other external conditions, the model acquisition accuracy is positively correlated with the number of model acquisitions and the overall acquisition accuracy; Based on statistical analysis of a large amount of field collected and compared data and nonlinear regression calculation, the relationship function between the model collection accuracy M and the number of collection times within the working day in this area is obtained as follows: Where x is the number of collections within a working day, K1 is the labor input adjustment coefficient, which reflects the labor and working face input, K2 is the collection integration method adjustment coefficient, which reflects the impact of the collection scheme on the collection accuracy, K3 is the engineering part weight adjustment coefficient, which reflects the degree of requirement of each part of the project for the accuracy of model collection, and a is the regression function adjustment coefficient used to adjust the matching M(x) function relationship to match the actual data. The value range of a is 0 <a<1,C 1、 C2 is the function matching adjustment parameter of M(x); The calculation formula of labor input adjustment coefficient K1 is: where n a is the number of simultaneous working surfaces during the construction period, n b is the average number of workers carrying acquisition equipment on the working face during model data acquisition, K w is the average utilization coefficient of manual collection at each working face, and A is the total area that needs to be collected in this project area; K2=K max ×A cc where K max A is the highest scanning accuracy coefficient of the acquisition equipment, cc The overall acquisition accuracy of the model; K3 is used to reflect the degree of accuracy required for model acquisition in various parts of the project. The higher the requirement, the higher the K3 value, and the more difficult it is to achieve the required model acquisition accuracy. The system sets preset values based on previous project experience, and operators can also modify the weight ratio according to the actual situation of each project area. According to the specification's limit on construction deviation, the M of this project is set. 标准 As a standard value, when M(x)=M 标准 When x is x0, the value of x is the required number of daily collection times for this area. The system will issue collection commands regularly after dividing the number of daily working hours. When the required value N of the number of daily collection times in this area is obtained 日 When the system sets the three acquisition accuracy weight coefficients of far, medium and near as R1, R2 and R3 according to the regional characteristics, and R1+R2+R3=1, the daily acquisition times N1, N2 and N3 within the respective ranges are calculated based on the weights R of the three intervals, and N1+N2+N3=N 日 ; Then, three levels of collection intervals are set according to the distance from the collection point; according to the different distances between the equipment and the observation point during collection, the collection is carried out in the following order: short distance, small collection range; medium distance, medium collection range; long distance, large collection range. The relationship between the collection distance and the collection range is as follows: A 采 / d 采 =C 采 , where A 采 is the collection area, d 采 is the distance to the object to be collected, C 采 In order to collect index constants, by setting the collection index constants, the collection range area can be automatically adjusted according to the specific distance parameters of the construction personnel within the three levels of collection intervals; through the above calculation method, automatic collection commands can be issued to the collection objects with reasonable times, cycles, distances, and ranges; The model data generation module is deployed in the server of the multi-point automatic acquisition platform for engineering data. After the acquisition system management module collects the model and image data collected at the engineering site, it is used to perform calculation analysis and integration on the models collected at different distances. According to the different distances between the equipment and the observation point at the time of acquisition, the collected models are weighted superimposed in three levels in the following manner: a high weight value is assigned to a small range model with high precision, a medium weight value is assigned to a medium range model with medium precision, and a low weight value is assigned to a large range model with rough precision. The model is generated and the model material is generated using the on-site shooting data. The weighted calculation method for the collection and integration of the model data is as follows: First, set the weight coefficients of the three acquisition accuracies of near, medium, and far as R1, R2, and R3. Take the weighted average of the coordinate parameters of the collected model points according to the weights. The weight coefficients R1, R2, and R3 for different project areas are different according to the different content of the collected project objects. Take the x-coordinate calculation formula as an example: Among them, R1, R2, and R3 are weight adjustment coefficients of three accuracy levels and the sum of the weight coefficients is 1, n 1、 n 2、 n3 is the number of sampling points under three accuracies, x 加权 is the weighted mean of x, x 近i , x 中i , x 远i The x-coordinate values of each point collected at the near, middle and far levels can be used to calculate the weighted mean of the y and z coordinates of each point. The above method is used to calibrate and integrate the collected model coordinate data.

3. The automatic data collection and monitoring system for hydropower engineering civil construction quality supervision according to claim 1 is characterized in that The foundation surface concrete monitoring module can call the function provided by the engineering quality analysis engine to analyze the foundation surface concrete related field data provided by the engineering quality collection platform, and use the trained corresponding algorithm to perform image recognition and analysis to determine whether there are loose rocks and debris in the area, whether there is water accumulation and stains in the area, and whether the surface treatment of the concrete construction joint meets the requirements; and perform model analysis to determine whether the scanned model matches the design model and whether the foundation surface meets the design requirements. The construction template monitoring module can call the function provided by the engineering quality analysis engine to analyze the on-site data related to the construction template provided by the engineering quality collection platform, and use the trained corresponding algorithm to perform image recognition and analysis to determine whether the template shape and material meet the design requirements, whether the template surface is smooth and pollution-free, and whether the release agent is evenly applied; and perform model analysis and judgment on whether the template structure is accurate with the designed edges, dimensions, and elevations, whether the template is installed accurately and flatly, and whether the board surface gaps and reserved hole positions are correct; The construction embedded parts monitoring module can call the function provided by the engineering quality analysis engine to analyze the on-site data related to the construction embedded parts provided by the engineering quality collection platform, and use the trained corresponding algorithm to perform image recognition and analysis to determine whether the appearance of the embedded pipeline is complete and rust-free, whether the expansion joint material and the appearance of the water stop are normal, and whether the appearance of the monitoring instrument and the equipment connection are normal; and perform model analysis and judgment on whether the template structure and the design edge line, the installation position, elevation, and bending radius of the pipeline meet the requirements, whether the size, installation position, and elevation of the water stop are accurate, whether the template is installed accurately, and whether the specifications and dimensions of the monitoring equipment and the cable protection are correct; The reinforced concrete prefabricated component installation monitoring module can call the function provided by the engineering quality analysis engine to analyze the on-site data related to the construction embedded parts provided by the engineering quality collection platform, and use the trained corresponding algorithm to perform image recognition and analysis to determine whether the design model is complete, whether the component appearance is damaged, whether the steel bars are exposed, and whether there is rust pollution; whether the center line and axis, height and external dimensions of the component are accurate, whether the verticality offset of the beam and column structure meets the requirements, and whether the coordinate elevation of the prefabricated structure installation position is accurate.

4. The automatic data collection and monitoring system for hydropower engineering civil construction quality supervision according to claim 1 is characterized in that The model analysis function is used to compare and analyze models using the engine function. The engine function can support the generation of more accurate marking and measurement data results by building algorithms to compare and judge data models collected from multiple angles with the design model. It can realize a series of basic functions such as coordinate integration, mark inheritance, comparative analysis, error measurement, and calculation statistics of the on-site collected model and the design model, providing support for various engineering model quality analysis application functions; The image analysis function is used to analyze and compare engineering data and images collected on-site using the engine function. It can automatically identify various engineering elements using the coordinates provided by the model analysis function and the feature data groups for each engineering area, each construction location, and each process detail in the standard construction graphics library. It also uses corresponding algorithms and multi-angle model data to automatically identify the appearance, image, appearance, and material engineering factors of each area of the project, measure images, and perform data analysis, providing support for various engineering image quality analysis application functions. The data calculation function is used to utilize the engine function to realize auxiliary numerical calculation and data statistics of the data involved in the model analysis function and the image analysis function, complete various data calculation tasks, and provide computing power support for various data comparison and analysis functions, so that each analysis function and each engineering quality inspection application module can make systematic calculations on the field data and then compare and judge.

5. The automatic data collection and monitoring system for hydropower engineering civil construction quality supervision according to claim 1 is characterized in that The digital diary module can automatically statistically integrate the data collection results according to the scanning data and the scanning cycle, generate a model file for each scanning cycle, and attach the quality information judgment conclusion and rectification results of the day at the corresponding position of the model. By dragging the time bar, the digital diary of the civil engineering quality of the entire project can be viewed; The report generation module can collect and compile the judgment results of each module of the engineering quality automatic monitoring application platform, and at the same time can summarize and organize the quality and safety information of each engineering area and the processing result log content provided by the digital diary module, and add text, pictures and related data according to the standard engineering quality report template to generate a civil engineering quality management report.

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