Hydropower engineering civil engineering quality supervision system capable of automatic acquisition and monitoring

Abstract

The invention belongs to the technical field of engineering intelligent quality monitoring and management, and particularly relates to a hydropower engineering civil engineering quality supervision system capable of automatically collecting and monitoring. Comprising an engineering data multi-point automatic acquisition platform, a civil engineering quality automatic monitoring application platform, an engineering quality analysis engine, a design model import module and an engineering quality monitoring data integration analysis platform which are connected in sequence. According to the engineering data multi-point automatic acquisition platform, an acquisition device can be carried by a constructor, and engineering quality information can be automatically scanned and acquired after the constructor enters a specified work area; according to the automatic civil engineering quality monitoring application platform, on the basis that the engineering quality analysis engine provides functions, the monitoring modules are used for analyzing the collected information, and whether the civil engineering of each part meets the corresponding quality management requirement or not is judged; and the result is published to a project quality monitoring data integration 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 engineering quality supervision system that automatically collects and monitors the quality. Background Art

[0002] In recent years, the scale and number of hydropower engineering buildings have increased, and the demand for intelligent and efficient supervision of the quality of hydropower engineering civil engineering has become increasingly high. There are a large number of hidden engineering construction projects in the civil engineering projects in the field of hydropower construction. Such construction results will be buried and hidden as the project progresses. If there are quality and safety problems during the construction process, it will be difficult to find and repair them later. Therefore, in current projects, construction and supervision units often need to invest a lot of manpower costs to repeatedly inspect and monitor hidden projects regularly. However, with the increase in the number of hydropower projects and the continuous increase in labor costs, the cost of monitoring hidden projects is constantly increasing. Summary of the invention

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

[0004] The technical solution adopted by the present invention is as follows: The present invention provides a hydropower engineering 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 connected in sequence; 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 personnel 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 personnel's awareness, and actual models and various data of each area are generated.

[0005] The data engineering positioning base station is composed of a positioning system composed of multiple positioning base stations interacting with each other. The real-time coordinates and direction angles of each collection device can be obtained by periodically publishing positioning information to the collection devices therein through a set algorithm, and the coordinate information can be sent to the engineering quality information collection system management module for data sorting.

[0006] 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 shoot and scan the overall progress of the macro situation in the construction area, and 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.

[0007] The personnel mobile collection equipment includes a zoom camera, a portable scanner, a wireless information transceiver, and a coordinate and angle positioning device. When the construction personnel enter a position and angle suitable for the collection of engineering quality information, the command is automatically triggered to start shooting and scanning operations. The engineering model and image information are acquired from multiple angles by multiple personnel carrying mobile collection equipment, and the collected information is sent to the wireless transceiver and the collection system management module through the wireless transceiver.

[0008] The collection system management module is deployed in the server where the multi-point automatic collection platform for engineering data is located. It obtains the coordinates and direction angles of all collection equipment in the construction area through the engineering positioning base station; analyzes the overall quality monitoring needs of the project according to the engineering specifications and the feedback information from the automatic monitoring application platform for civil engineering quality, and formulates monitoring plans for each engineering time node according to the construction plan and human resources; issues automatic detection commands and collects relevant data in the most reasonable and accurate way according to 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 automatic monitoring application platform for civil engineering quality for various compliance judgments. The built-in calculation method of the collection command 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, that is:

[0009] Where M is the model acquisition accuracy, n is the total number of model scanning points, and 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 precision measurement and verification. The higher the M value, the higher the model acquisition accuracy and the better the acquisition effect.

[0010] After multiple engineering practice measurements in the early stage, it was found that the model acquisition accuracy is positively correlated with the number of model acquisitions and the overall acquisition accuracy when the acquisition equipment has the same performance and other external conditions. Based on statistical analysis of a large number of field acquisition comparison data and nonlinear regression calculations, the relationship function between the model acquisition accuracy M and the number of acquisitions within the working day in this area is obtained as follows:

[0011] Where x is the number of collections within a working day, K1 is the labor input adjustment coefficient, which reflects the labor and work surface 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, a is the regression function adjustment coefficient used to adjust the matching M (x) function relationship to match the actual data, and the value range of a is 0 <a<1。C 1、 C2 is the function matching adjustment parameter of M(x).

[0012] The calculation formula of labor input adjustment coefficient K1 is:

[0013] 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 at the working face during model data acquisition, K w is the average utilization coefficient of manual collection for each working face, and A is the total area that needs to be collected in this project area.

[0014] K2=K max ×A cc Where K max is the highest scanning accuracy coefficient of the acquisition equipment, A cc Collect the accuracy of the model as a whole.

[0015] K3 is used to reflect the degree of accuracy required by each part of the project for model acquisition. The higher the requirement, the higher the K3 value, and the more difficult it is to achieve the accuracy of model acquisition. 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 area of ​​the project.

[0016] According to the specification requirements for the limit of engineering construction deviation value, 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 daily collection times in this area. The system will issue collection commands regularly after averaging the daily working hours.

[0017] When the required value N of the number of daily collections in this area is obtained 日 When the system sets the three acquisition accuracy weight coefficients of far, medium and near to R1, R2 and R3 according to the regional characteristics, and R1+ R 2+ R3=1, according to the weights R of the three intervals, the daily collection times N1, N2, N3 in each range are calculated 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: 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 in the three levels of collection intervals. Through the above calculation method, it is possible to issue automatic collection commands to the collection objects with reasonable times, cycles, distances, and ranges.

[0018] The model data generation module is deployed in the engineering data multi-point automatic acquisition platform server. After the acquisition system management module collects the model and image data collected at the engineering site, it is used to calculate and analyze the models collected at different distances. According to the different distances between the equipment and the observation point during acquisition, the collected models are weighted and superimposed in three levels in the order of small range model with high precision, medium range model with medium precision, and 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 model data acquisition and integration 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 of different engineering areas are different according to the different contents of the collected engineering objects, such as R1, R2 and R3. Take the x-coordinate calculation formula as an example:

[0019] Among them, R1, R2, and R3 are weight adjustment coefficients for the three accuracy levels, and the sum of the weight coefficients is 1. 1、 n 2、 n3 is the number of sampling points at each of the 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, and the weighted mean of the y and z coordinates of each point can be calculated. The collected model coordinate data is calibrated and integrated in the above way.

[0020] 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 according to the standard construction graphics library data to achieve quality and safety monitoring of the collected model and image data according to the quality standards of various civil engineering projects, and to judge the compliance of the project.

[0021] 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 and judgment on 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 and judgment on whether the scanned model matches the design model and whether the foundation surface meets the design requirements.

[0022] 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 and judgment on 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.

[0023] 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 and judgment on whether the appearance of the embedded pipeline is complete and rust-free, whether the appearance of the expansion joint material and the water stop is normal, and whether the appearance of the monitoring instrument and the equipment connection are normal; 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 is installed accurately, and whether the specifications and dimensions of the monitoring equipment and the cable protection are correct. Model analysis and judgment are performed.

[0024] 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 and judgment on whether the design model is complete, whether the building appearance is damaged, whether the steel bars are exposed, and whether there is rust pollution; whether the center line and axis line, height and external dimensions of the building 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.

[0025] 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.

[0026] The model analysis function is used to use the engine function to compare and analyze the model. 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 design models. It can realize a series of basic functions such as coordinate integration, mark 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.

[0027] 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.

[0028] The data calculation function is used to utilize the engine function to realize auxiliary numerical calculation and data statistics on 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.

[0029] 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.

[0030] The digital diary module can automatically perform statistical integration of data collection results according to the scanning data and the scanning cycle, generate model files 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.

[0031] 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.

[0032] The hydropower engineering civil construction quality supervision system provided by the present invention has the following advantages: The present invention provides a set of supervision system for automatic collection and monitoring of engineering quality information for the field of hydropower engineering civil engineering quality supervision by integrating technologies such as three-dimensional scanning, artificial intelligence recognition, engineering BIM application, automatic data calculation, and civil engineering quality supervision. The collection equipment of this system can be carried by on-site construction personnel, and can automatically complete the collection task of engineering quality information in a designated area according to relevant specifications without the construction personnel's awareness, and the engineering quality monitoring data integration and analysis platform automatically performs quality safety judgment and subsequent processing requirements, and then records the relevant results on the engineering quality monitoring data integration and analysis platform to form a log and engineering quality management report. This system uses digital means and related equipment to realize real-time automatic data collection and quality supervision of hydropower engineering civil construction, which can greatly reduce the labor costs of construction and supervision units, and compared with traditional engineering quality management methods, the supervision effect of concealed projects will be greatly improved due to the use of a system that can unconsciously collect quality information, which can greatly reduce the risk of hidden dangers in civil engineering quality, and automatically generate relevant processing opinions to reduce the difficulty of engineering management, and also greatly improve the efficiency of engineering quality management. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 The overall framework diagram of a hydropower project civil construction quality supervision system for automatic collection and monitoring provided by the present invention; Figure 2 The automatic acquisition system acquisition command execution flow chart provided by the present invention; Figure 3 The execution flow chart of the foundation surface concrete monitoring module provided by the present invention; Figure 4 This is an execution flow chart of the construction template monitoring module provided by the present invention; Figure 5 The execution flow chart of the construction embedded parts monitoring module provided by the present invention; Figure 6 This is an execution flow chart of the reinforced concrete prefabricated component installation monitoring module provided by the present invention. DETAILED DESCRIPTION

[0034] 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 in conjunction with 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 used to limit the present invention.

[0035] The present invention focuses on the difficulties in the field of engineering quality monitoring and provides a hydropower engineering civil engineering quality supervision system with automatic collection and monitoring. The present invention aims to utilize three-dimensional scanning, artificial intelligence recognition, engineering BIM application, automatic data calculation and civil engineering quality supervision and other technologies to realize automatic quality information data collection for hydropower engineering civil engineering quality supervision, automatic judgment of quality monitoring data of each engineering area, automatic sorting 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.

[0036] The present invention provides a hydropower engineering civil construction quality supervision system which 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.

[0037] The following is a detailed introduction to each functional module: 1. Multi-point automatic collection platform for engineering data 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 collection system management module, and a model data generation module. It is used to automatically collect various types of engineering quality and safety data on the construction site through a series of equipment and corresponding algorithms in accordance with relevant specifications and the requirements of the civil engineering quality automatic monitoring application platform feedback without the construction workers being aware of it.

[0038] (1.1) Engineering positioning base station The engineering positioning base station is composed of a positioning system composed of multiple positioning base stations arranged interactively, and is arranged around the current project implementation site or key quality monitoring site. The arrangement method is that each positioning base station can locate each other within the positioning range to continuously calibrate the accuracy of the position of the entire positioning system to prevent the distortion of the positioning system after vibration or accidental collision. The engineering positioning base station will transmit signals to the acquisition equipment positioning device and other positioning base stations within the range in real time. By comparing the information response and return time, the coordinates of each locator of the acquisition equipment can be determined, and the overall coordinates and angles of the acquisition equipment can be determined.

[0039] (1.2) High-definition acquisition equipment 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. The overall progress of the macro situation in the construction area can be periodically photographed and scanned. When combined 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 area to generate a low-precision macro quality model in the construction area. The medium and near-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.

[0040] (1.3) Personnel mobile data collection equipment The personnel mobile data collection equipment includes a zoom camera, a portable scanner, a wireless information transceiver, and a coordinate and angle positioning device. The maximum collection frequency of the equipment must reach 50Hz or above to ensure that the collection equipment can also quickly and intermittently collect information when the personnel coordinates are correct during the normal movement of the personnel. It can be arranged and installed in the chest area of ​​the construction personnel's safety helmet and construction vest and powered by a lithium battery. The built-in multiple positioning devices are used to determine the overall orientation and angle of the equipment and maintain real-time data exchange with the engineering positioning base station in the work area. When the construction personnel enter the work area to a position and angle suitable for the collection of engineering quality information, the periodic engineering quality inspection command issued by the multi-point automatic collection platform for engineering data will automatically trigger the collection equipment and start shooting and scanning operations according to the collection content requirements in the preset area. The mobile collection equipment is carried by multiple construction personnel, so there is no need to complete all the collection tasks within the time when the construction personnel approach once. Relying on the collection management module in the platform, the multi-point, intermittent and unconscious collection of engineering quality information tasks in each area can be realized. Moreover, for the same engineering quality monitoring and collection task, multiple personnel 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.

[0041] (1.4) Collection system management module The acquisition system management module is deployed in the engineering data multi-point automatic acquisition platform server. Used to plan and execute quality information data collection for each work area. It can automatically formulate a quality information collection plan 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 will automatically issue periodic information acquisition commands based on the engineering specifications and the feedback information from the automatic monitoring application platform for civil engineering quality. When a mobile acquisition device enters the specified area and angle and remains relatively stable, data acquisition will be automatically completed. At the same time, in order to improve the reliability of the data and increase the accuracy of the model data generation module, when the acquisition system management module issues an acquisition command for a certain point, it will automatically calculate and generate a scanning point layout algorithm according to the construction area and the type of acquisition target, and calculate the appropriate measurement point. The main judgment method of the algorithm is: according to the project area and the type of acquisition object, along one to three directions of the XYZ axis (for some scanning objects such as the surface of the regional wall, only the X-axis scanning is selected), 4-6 sets of photos and model information are scanned from far to near. If the appearance structure of the acquisition object is relatively complex or it is a key monitoring target for construction quality, such as embedded parts monitoring equipment or key civil construction sections, it will be required to add two more sets of shooting and scanning requirements in the positive and negative 45-degree directions of the axis plane in the one to three directions of the XYZ direction of the point. Since the demand for construction quality monitoring often increases synchronously with the construction progress of the corresponding work area, a large number of construction workers will frequently move around the project quality monitoring area during the construction period to complete various construction tasks. Therefore, after the acquisition system management module issues the acquisition command, each mobile acquisition device has sufficient data acquisition opportunities and time to complete the acquisition task in most cases. At the same time, when a single scan is interrupted, the acquisition system management module background will record the acquired data, and when other acquisition devices enter the area, they can continue to complete the data that has not been scanned. If there is a construction area or angle that happens not to have a mobile device enter for collection within a certain period of time, the acquisition platform will issue a special acquisition command for the administrator to carry the acquisition device to supplement the data of the "leakage point" area of ​​the civil engineering collection. This method can make up for the defects of the acquisition system in small probability situations, and can also prevent construction workers from deliberately avoiding problem areas. After the data collection is completed, the acquisition platform will pass the relevant data to the model data generation module to process and integrate the collected data, and then send it to the civil engineering quality automatic monitoring application platform for various compliance judgments. The built-in calculation method of the acquisition command is: 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, that is:

[0042] Where M is the model acquisition accuracy, n is the total number of model scanning points, and 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 precision measurement and verification. The higher the M value, the higher the model acquisition accuracy and the better the acquisition effect.

[0043] After multiple engineering practice measurements in the early stage, it was found that the model acquisition accuracy is positively correlated with the number of model acquisitions and the overall acquisition accuracy when the acquisition equipment has the same performance and other external conditions. Based on statistical analysis of a large number of field acquisition comparison data and nonlinear regression calculations, the relationship function between the model acquisition accuracy M and the number of acquisitions within the working day in this area is obtained as follows:

[0044] Where x is the number of collections within a working day, K1 is the labor input adjustment coefficient, which reflects the labor and work surface 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, a is the regression function adjustment coefficient used to adjust the matching M (x) function relationship to match the actual data, and the value range of a is 0 <a<1。C 1、 C2 is the function matching adjustment parameter of M(x), and 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, and the value of C1×K2 / K3 is the upper limit of the acquisition accuracy under the current conditions and the accuracy of the acquisition equipment.

[0045] The calculation formula of labor input adjustment coefficient K1 is:

[0046] 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 at 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. The value of K1 reflects the number and degree of activity of the collection equipment according to the number and efficiency of working faces and workers.

[0047] K2=K max ×A cc Where K max is the highest scanning accuracy coefficient of the acquisition equipment, A cc is the overall acquisition accuracy of the model, A cc Affected by the collection method, in general, the higher the proportion of high-precision collection points in the total number of collected points, the higher the overall collection accuracy of the model, but the slower the collection speed.

[0048] K3 is used to reflect the degree of accuracy required by each part of the project for model acquisition. The higher the requirements, the higher the K3 value, and the more difficult it is to achieve the accuracy of model acquisition. The system sets preset values ​​based on previous engineering experience, and operators can also modify the weight ratio according to the actual situation of each area of ​​the project. The following table uses several major engineering areas as examples to illustrate the trend of the weight adjustment coefficient of the project part. In practice, it will be further divided in detail according to the characteristics of the sub-parts of each project part:

[0049] 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 densely populated personnel, and the part with higher requirements for construction accuracy. The above table only shows the average 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.

[0050] According to the trend of the M(x) function, the more times the data is collected, the higher the M value is, and the higher the model collection accuracy is. However, the increase in the number of data collections will increase the performance requirements and losses of the system server and supporting equipment, and the model collection speed will also be slower. According to the function trend, the slope of the model collection accuracy M(x) will continue to decrease with the increase of the number of data collections x, and there is an upper limit, so the number of data collections should not be too high. Therefore, in actual projects, the M value of this project will be set according to the limit requirements on the deviation value of engineering construction 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 daily collection times in this area. The system will issue collection commands regularly after averaging the daily working hours.

[0051] When the required value N of the number of daily collections in this area is obtained 日 When the system sets the three acquisition accuracy weight coefficients of far, medium and near to R1, R2 and R3 according to the regional characteristics, and R1+ R 2+ R3=1, according to the weights R of the three intervals, the daily collection times N1, N2, N3 in each range are calculated 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 medium-distance 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 the size of the object to be collected, the accuracy of the equipment, the maximum single acquisition range of the equipment and other parameters. According to the different distances between the equipment and the observation point during acquisition, the acquisition is carried out in the following order: the acquisition range is small when the distance is close, the acquisition range is medium when the distance is medium, and the acquisition range is large when the distance is far. The relationship between the acquisition distance and the acquisition 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 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 in the three levels of collection intervals. Through the above calculation method, it is possible to issue automatic collection commands to the collection objects with reasonable times, cycles, distances, ranges, etc.

[0052] (1.5) Model data generation module The model data generation module is deployed in the engineering data multi-point automatic collection platform server. When the model and picture of the engineering belt detection area returned by the acquisition platform are collected, when the acquisition system management module collects the model and image data collected at the engineering site, the models collected at different distances are analyzed and integrated according to the algorithm. The main idea of ​​the algorithm is to first divide the collected models into three levels according to the small range model with high precision, the medium range model with medium precision, and the large range model with rough precision, and then weighted integration and superposition are performed according to the level of collected information. Different work areas and different identified model objects correspond to different weight coefficient ratios. At the same time, the model data generation algorithm will use data collected at multiple different angles and distances to calculate and calibrate the model, and use the difference in the angle of the collected information to verify and calculate the key points of the model's outer contour, and delete errors and abnormal noise points. And using the photos of each construction monitoring object taken on site, the real on-site photo material can be attached to each model and the corresponding position of the model can be mounted. The generated model and attached material pictures can be used as the basis for measurement and quality compliance judgment of each application module of the automatic monitoring application platform for civil engineering quality.

[0053] The weighted calculation method for model data collection and integration is: 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 of different engineering areas are different according to the different contents of the collected engineering objects, such as R1, R2 and R3. Take the x-coordinate calculation formula as an example:

[0054] Among them, R1, R2, and R3 are weight adjustment coefficients for the three accuracy levels, and the sum of the weight coefficients is 1. 1、 n 2、 n3 is the number of sampling points at each of the 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, and the weighted mean of the y and z coordinates of each point can be calculated. The collected model coordinate data is calibrated and integrated in the above way.

[0055] (II) Application platform for automatic monitoring of civil engineering quality 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. The engineering quality analysis engine provides functions to compare and analyze the data collected on site with the design model data according to 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 of each work area process to obtain the feature discrimination data group of each recognition project. After that, each module automatically judges the safety and compliance of various construction results on site in each civil 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.

[0056] (2.1) Foundation surface concrete monitoring module 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 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 field data. Then, the feature data group of each construction process and quality inspection item obtained through algorithm training stored in the standard construction graphics 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: ①Compare the on-site photos with the corresponding work area appearance in the standard construction graphics library at the image level to identify whether there are rocks, gravel and other debris at 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 taken pictures internally and the theoretical design ratio of the corresponding area of ​​the construction design model; 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; ③ According to the standard construction joint sample pictures in the standard construction graphic library, 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.

[0057] ④ Overlap and compare the on-site scanning model provided by the model data generation module with the design model to determine whether the error between the position, orientation, range, and contour coordinates of the foundation surface concrete and the design model is within an acceptable range, and whether the actual image of the foundation surface concrete matches the corresponding part of the design model.

[0058] ⑤ Combine image analysis, data calculation module and scanning model to calculate and judge the details of the concrete foundation surface construction quality, such as: measure whether the total area of ​​water accumulation and seepage in the construction area is greater than 5% of the entire warehouse surface of this part of the concrete foundation, whether the single water accumulation area is less than 2㎡, whether the error of the coordinates of the concrete construction joint exceeds 2cm, etc., and report the results to the engineering quality monitoring data integration and analysis platform.

[0059] After the calculation and judgment are completed, the application module will compare the calculated values ​​with the specification requirements. If it does not meet the relevant specifications, it is necessary to record the abnormal data and send the data to the concrete engineering quality automatic monitoring application platform for early warning, reporting and other operations. If it meets the requirements, it is 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.

[0060] (2.2) Construction formwork monitoring module The construction formwork monitoring module can call the functions provided by the engineering quality analysis engine to analyze the concrete formwork 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 models to read the site data. Then, the feature data groups of each construction process and quality inspection item obtained through algorithm training stored in the standard construction graphics library are compared with the feature data groups read from the image and model to identify various engineering quality analysis elements, and reference Figure 4 Perform the following calculations and judgments: ① Compare the photos of the construction template taken at various angles on site with the photos of the template 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, which are used to determine in turn whether the external dimensions, installation form, and material specifications of the template used for calculation are in line with the requirements of the corresponding construction area.

[0061] ② Before pouring construction, determine whether the surface of each concrete pouring construction formwork material in the picture is smooth and free of stains and dirt. If there are stains, calculate the relevant area based on the shooting distance to make compliance judgments based on the requirements of the specifications.

[0062] 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 completed appearance of the formwork release agent construction 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.

[0063] ④Compare the on-site scanning model provided by the model data generation module with the design model to determine whether the design edge line, 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 line and the internal and external formwork, and measure whether the error range between the building structure edge line and the internal and external formwork design edge line is within ±10mm, which is used to determine whether the construction of the concrete pouring formwork to be installed meets the specifications.

[0064] 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, which specifically includes statistically measuring the distance between two 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.

[0065] 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 dimensions of the cross-section of each reserved hole in the template, take the measured average of each angle of the centerline of the hole shape as the final value for judgment, and use all the panel models scanned in the construction area to measure the gap size between each panel surface to determine whether each installed template is compliant.

[0066] After the calculation and judgment are completed, the application module will compare the calculated values ​​with the specification requirements. If it does not meet the relevant specifications, it is necessary to record the abnormal data and send the data to the concrete engineering quality automatic monitoring application platform for early warning, reporting and other operations. If it meets the requirements, it is 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.

[0067] (2.3) Construction embedded parts monitoring module The construction embedded parts monitoring module can call the engineering quality analysis engine to provide functions to analyze the field data of the installation process of each embedded part in the field 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 of the concealed project and the scanned model to read the field data. Then, the feature data groups of each construction process and quality inspection item obtained through algorithm training stored in the standard construction graphics library are compared with the feature data groups read from the image and model to identify various engineering quality analysis elements, and reference Figure 5 Perform the following calculations and judgments: ① During the installation of embedded parts, the image data captured by on-site scanning and the standard construction graphic library data are compared and relevant algorithms are used to collect and automatically identify from multiple angles whether the embedded parts are complete in appearance and whether the pipe material complies with the relevant contract agreement, such as whether the pipe is galvanized, whether the embedded parts are corroded, etc., for subsequent compliance judgment and recording of hidden project historical archives.

[0068] ② During the installation of embedded parts, the image data captured by on-site scanning and the standard construction graphic library data are compared, and the appearance of embedded water-stop plates and other materials is judged using relevant algorithms. The current water-stop material material is compared to see whether it is consistent with the relevant specifications and historical data in the standard construction graphic library and the 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 is 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.

[0069] 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.

[0070] ④ Use the automatic acquisition platform to obtain the pre-buried pipeline model of the on-site construction, 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, and use multi-angle scanning data to mark the pre-buried pipeline entrances and exits 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 space coordinate values ​​of the embedded part model design for compliance judgment.

[0071] ⑤ Use the automatic acquisition platform to obtain the on-site waterstop installation construction model, use the model analysis and data calculation functions to automatically identify and measure the installation position coordinates and elevation of the waterstop, identify the waterstop according to the model and image features, measure its own geometric size 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 types of overlapping materials and overlapping construction methods.

[0072] ⑥ Use the automatic acquisition platform to obtain the installation construction model of the monitoring instruments currently installed inside, use the model analysis and data calculation functions to automatically identify and measure the installation position coordinates and elevation of the monitoring instruments, and compare the scanned equipment model, automatic identification algorithm, and the standard construction graphic library data of this type of detection instrument to determine whether the detection instrument model can be effectively fixed in the building model. Whether the installation structure such as anchor rods or bolts fits tightly with the building surface on the model, and whether the installation positioning method complies with the installation specifications of the corresponding equipment. Through the automatic comparison of the scanning results of the on-site model, the standard construction graphic library data, and the corresponding algorithm, it is determined whether the main cable connection of the equipment and instrument is firmly installed and tightly connected at the model judgment level, whether the main cable of the instrument has been properly protected when passing through the joints of each building structure, and whether the safety distance between the cable and the construction joint is reserved as required. The module will automatically issue on-site commands to collect corresponding information for various compliance judgments.

[0073] After the calculation and judgment are completed, the application module will compare the calculated values ​​with the specification requirements. If it does not meet the relevant specifications, it is necessary to record the abnormal data and send the data to the concrete engineering quality automatic monitoring application platform for early warning, reporting and other operations. If it meets the requirements, it is 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.

[0074] (2.4) Reinforced concrete prefabricated component installation monitoring module 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, 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 models to read the on-site data. Then, the feature data groups of each construction process and quality inspection item obtained through algorithm training stored in the standard construction graphics library are compared with the feature data groups read from the image and model to identify various engineering quality analysis elements, and reference Figure 6 Perform the following calculations and judgments: ① Before installing precast reinforced concrete components, compare the image data captured by on-site scanning with the standard construction graphic library data, and use relevant algorithms to automatically collect images from multiple angles such as the front, side, bottom, and top. Compare them with the standard construction graphic library and design drawings to determine whether the control dimensions of the precast reinforced concrete components are consistent with the drawings, and whether the component material model and main parameter indicators correspond to the contract and relevant specifications.

[0075] ② Before installing prefabricated reinforced concrete components, the integrity of the components is judged according to 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 surface of the components. If so, the degree of correlation is automatically calculated based on the shooting angle for further compliance operation judgment.

[0076] ③ Before installing the reinforced concrete prefabricated components, the component model scanned on site shall be 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. ④ Before installing the 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 surface elevation, the offset between the center line of the lower chord of the roof truss and the axis, the verticality offset of the truss, arched roof truss, etc., the flatness offset of two adjacent prefabricated slabs, the main body offset of prefabricated pipes and well components, etc., for comparison with relevant document data such as specifications and contracts and other compliance judgments.

[0077] ⑤ When installing reinforced concrete prefabricated components, use the automatic acquisition system to obtain the components and building structure models at the site, use the engine function and related algorithms to determine the importance of the collected data for compliance judgment, measure and record the installation elevation, position, and angle data of the prefabricated components for compliance judgment. Automatically issue commands based on the design model coordinates to focus on scanning the model of the connection between the prefabricated components and the building structure, and use related algorithms to calculate and determine whether the connection is effectively connected and whether the connection strength meets the relevant specifications.

[0078] After the calculation and judgment are completed, the application module will compare the calculated values ​​with the specification requirements. If it does not meet the relevant specifications, it is necessary to record the abnormal data and send the data to the concrete engineering quality automatic monitoring application platform for early warning, reporting and other operations. If it meets the requirements, it is 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.

[0079] 3. Engineering Quality Analysis Engine 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 to provide support for various engineering model quality analysis application function modules.

[0080] (3.1) Model analysis function The model analysis function is used to compare and analyze models using the engine function, and provides various basic functional frameworks for model comparison and analysis. 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 design models, and can realize a series of basic functions such as coordinate integration, mark inheritance, comparative analysis, error measurement, and calculation statistics of field collection models and design models, providing support for various engineering model quality analysis application functions.

[0081] (3.2) Image analysis function 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 according to the feature data groups, and obtain the feature data groups of various construction quality elements involved in the on-site collected pictures. It can also automatically measure and read various engineering factors such as length, angle, distance, material quality, etc. involved in the construction procedures, installation progress, and process methods of each link according to multi-angle images, and provide support for various engineering image quality analysis application functions.

[0082] (3.3) Data calculation function 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 the image analysis function, provide computing power support for the analysis needs of each application module, and measure, calculate, and count various engineering indicator parameters according to relevant formulas for use in the engineering quality inspection application module to perform various compliance judgments.

[0083] (IV) Engineering quality monitoring data integration and analysis platform The engineering quality monitoring data integration and analysis platform includes a digital diary module and a report generation module. It is used to digitize the data, conclusions, on-site processing results, etc. collected, sorted, and judged by the engineering data multi-point automatic collection platform and the civil engineering quality automatic monitoring application platform, and bind them with the engineering site scanning model of each period over time to form an engineering quality management report.

[0084] (4.1) Engineering digital diary module The engineering digital diary module is used to record various types of information discovered and processed by the quality monitoring platform and display them in sequence according to the construction date and progress in the model provided by the acquisition platform. The data acquisition results can be automatically statistically integrated according to the scanning cycle, and the quality information, judgment conclusions, and processing results within the cycle are bound to the corresponding engineering parts and time points. All engineering quality diaries and construction records of various hidden projects can be viewed by dragging the time bar.

[0085] (4.2) Report generation module 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.

[0086] The following takes the engineering 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 which automatically collects and monitors: S01, Before the construction of civil engineering, the 3D design BIM modeling of the corresponding engineering area needs to be completed; the engineering quality analysis engine and the corresponding programming language framework need to be used to complete the development and testing of the application modules of the multi-point automatic acquisition platform for engineering data, the automatic monitoring application platform for civil engineering quality, and the engineering quality monitoring data integration and analysis platform; a standard construction graphics library needs to be built, and the artificial intelligence recognition training of the images and models of each process in each area needs to be completed based on the data in the standard construction graphics library, so as to obtain the standard feature data set of each engineering construction and quality analysis element. S02, deploy an on-site or network server to collect or upload field data acquired by various acquisition devices in the multi-point automatic acquisition platform for engineering data. Install and deploy the corresponding applications of the multi-point automatic acquisition platform for engineering data, the automatic monitoring application platform for civil engineering quality, and the engineering quality monitoring data integration and analysis platform in the server.

[0087] S03, according to the construction progress and specification requirements, the engineering data multi-point automatic collection platform includes the engineering positioning base station and high-definition fixed collection equipment to be installed on-site in the area where the quality of the civil engineering project needs to be supervised. During the installation, it should be ensured that each positioning base station should be arranged within the range of at least two mutual positioning, and the high-definition fixed collection equipment should be able to effectively observe and collect images and model information in the key construction areas. And according to the requirements of the density and speed of information collection at the construction site, the personnel mobile collection equipment is deployed in the chest area of ​​the helmets and construction vests of multiple construction workers in the corresponding work area.

[0088] S04, run the multi-point automatic acquisition platform application for engineering data on-site or in the network server, and test the functions of the acquisition system management module and the model data generation module. The acquisition system management module should be able to query and control the operating status of each installed and deployed engineering positioning base station, high-definition fixed acquisition equipment, and personnel mobile acquisition equipment, and should be able to detect the coordinates and angle data of each personnel mobile acquisition equipment.

[0089] S05. The person in charge of construction supervision starts 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 corresponding construction area model and material data on site, and the model data file is trimmed and processed.

[0090] S06, use the design model import module to import the engineering design 3D BIM model of the corresponding area into the civil engineering quality automatic monitoring application platform. The design model should contain the coordinate information of each engineering area. The data collection platform will automatically publish the model, image and other data information collected in real time on site to the civil engineering quality automatic monitoring application platform. By comparing the coordinates of the collected data with the coordinates of the design model to identify each engineering area, the corresponding data information will be published to the quality monitoring content application module of the corresponding engineering area for compliance determination.

[0091] 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, the image and model data collected on-site will be judged for compliance based on the specifications and standards of the corresponding work area and process. 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.

[0092] S08, the person in charge of construction supervision urges on-site construction personnel to handle or repair designated problems based on the relevant problems or rectification opinions displayed and warned on the upper limit of the construction model through the project quality monitoring data integration and analysis platform, until the monitoring data integration and analysis platform no longer displays relevant problems. At the same time, the digital diary module is used to record relevant quality problems and processing results, and when necessary, the template file built into the report generation module is used to export it into a standard civil engineering quality management report within the corresponding construction period, which is convenient for later archiving and query.

[0093] 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 realize 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.

[0094] 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 principle of the present invention. These improvements and modifications should also be considered as the scope of protection of the present invention.

Claims

1. A hydropower project civil construction quality supervision system for automatic collection and monitoring, characterized in that: 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 engineering data multi-point automatic collection platform 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 personnel carry collection equipment into a designated engineering area, the collection designation of scanning and shooting can be automatically triggered by obtaining the equipment coordinates and the equipment orientation angle. The area is automatically collected without the construction personnel's awareness, and the actual model and various data of each area are generated; 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 according to the standard construction graphic library data to realize quality and safety monitoring of the collected model and image data according to the quality standards of various civil engineering projects, and to judge the compliance of the project. The engineering quality analysis engine includes model analysis function, image analysis function, and data calculation function, and 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 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.

2. The multi-point automatic collection platform for engineering data according to claim 1 is characterized in that The data engineering positioning base station is composed of a plurality of positioning base stations interacting to form a positioning system. The positioning information is periodically released to the collection devices therein through a set algorithm to obtain the real-time coordinates and direction angles of each collection device, and the coordinate information can be sent to the engineering quality information collection system management module for data sorting; 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 shoot and scan the overall progress of the macro situation in the construction area, and 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; The personnel mobile collection equipment includes a zoom camera, a portable scanner, a wireless information transceiver, and a coordinate and angle positioning device. When the construction personnel enter a position and angle suitable for the collection of engineering quality information, the command is automatically triggered to start shooting and scanning operations. The engineering model and image information are acquired from multiple angles by multiple personnel carrying mobile collection equipment, and the collected information is sent to the wireless transceiver and the collection system management module through the wireless transceiver. The acquisition system management module is deployed in the server where the multi-point automatic acquisition platform for engineering data is located, and obtains the coordinates and direction angles of all acquisition devices in the construction area through the engineering positioning base station; analyzes the overall quality monitoring needs of the project according to the engineering specifications and the feedback information of the automatic monitoring application platform for civil engineering quality, and formulates the monitoring plan for each engineering time node according to the construction plan and human resources; issues automatic detection commands and collects relevant data in the most reasonable and accurate way according to the built-in algorithm; then, after the model data generation module performs weighted calculation processing and integration on the collected data, it is sent to the automatic monitoring application platform for civil engineering quality for various compliance judgments; the built-in calculation method of the acquisition command 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, that is: Where M is the model acquisition accuracy, n is the total number of model scanning points, and d i The distance between the spatial coordinates collected by the model at each point and the spatial coordinates obtained by the actual on-site precise measurement and verification. The higher the M value, the higher the model acquisition accuracy and the better the acquisition effect. After multiple engineering practice measurements in the early stage, it was found that when the acquisition equipment has the same performance and other external conditions, the model acquisition accuracy is positively correlated with the number of model acquisitions and the overall acquisition accuracy; Based on the statistical analysis of a large amount of on-site collection and comparison 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 work surface 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, a is the regression function adjustment coefficient used to adjust the matching M (x) function relationship to match the actual data, and 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 at 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 is the highest scanning accuracy coefficient of the acquisition equipment, A 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 is, and the more difficult it is to achieve the accuracy of model acquisition. 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 area of ​​the project. According to the specification requirements for the limit of engineering construction deviation value, M of this project is set. 标准 As a standard value, when M(x)=M 标准 When x is x0, it is the required value of the number of daily collections in this area. The system will issue collection commands regularly after dividing the daily working hours. When the required value N of the number of daily collections in this area is obtained 日 When the system sets the three acquisition accuracy weight coefficients of far, medium and near to R1, R2 and R3 according to the regional characteristics, and R1+ R 2+ R3=1, according to the weights R of the three intervals, calculate the number of daily collections N1, N2, N3 in each range interval 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; and 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 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, it is possible to issue automatic collection commands to the collection objects with reasonable times, cycles, distances, and ranges; The model data generation module is deployed in the engineering data multi-point automatic acquisition platform server. After the acquisition system management module collects the model and image data collected at the engineering site, it is used to calculate, analyze and integrate the models collected at different distances. According to the different distances between the equipment and the observation point during acquisition, the collected models are weighted superimposed in three levels in the manner of high weight values ​​assigned to small models with high precision, medium weight values ​​assigned to medium models with medium precision, and low weight values ​​assigned to large models 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 of different engineering areas are different according to the different contents of the collected engineering objects, such as R1, R2 and R3. Take the x-coordinate calculation formula as an example: Among them, R1, R2, and R3 are weight adjustment coefficients for the three accuracy levels, and the sum of the weight coefficients is 1. 1、 n 2、 n3 is the number of sampling points at each of the 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, and the weighted mean of the y and z coordinates of each point can be calculated. The collected model coordinate data is calibrated and integrated in the above way.

3. The automatic monitoring application platform for civil engineering quality according to claim 1 is characterized in that The foundation surface concrete monitoring module can call the engineering quality analysis engine to provide functions 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 and judgment on 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 and judgment on 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 engineering quality analysis engine to provide functions 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 and judgment on 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; whether the template structure is accurate with the design edge line, size, and elevation, whether the template is installed accurately and flatly, and whether the board surface gap and reserved hole position are correct; The construction embedded parts monitoring module can call the engineering quality analysis engine to provide functions 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 and judgment on 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; 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 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 and judgment on whether the design model is complete, whether the component appearance is damaged, the steel bars are exposed, and the rust pollution factors; whether the center line and axis of the component, the 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.

4. The engineering quality analysis engine according to claim 1, 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 design models. It can realize a series of basic functions such as coordinate integration, mark 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; The image analysis function is used to analyze and compare the engineering data and pictures collected on site by using the engine function. It can realize the automatic recognition of various engineering elements by using 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. It can also realize the automatic recognition, 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, and provide 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 on 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 engineering quality monitoring data integration and analysis platform 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 the model file in each scanning cycle and attach the quality information judgment conclusion and rectification result 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; 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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