Water stop construction control method and system for overflow gate reinforcement project

Abstract

The invention provides a water stop construction control method and system for an overflow gate reinforcement project, the method is applied to an information acquisition terminal, and the method comprises the following steps: obtaining a plurality of scanning areas of a target overflow gate according to geometric modeling information; after the construction stage corresponding to the scanning area is completed, first image data corresponding to the scanning area is obtained through visual collection equipment; acquiring first point cloud data of the scanning area by using laser scanning equipment; and performing analysis based on the first point cloud data and the corresponding first image data, and outputting an evaluation result to the user equipment. According to the technical scheme, through combination of geometric modeling, visual image data and laser point cloud data, construction control of an overflow gate reinforcement project is evaluated from multiple dimensions, and compared with an evaluation method of a single data source, a multi-data-source fusion mode has the advantages that the evaluation efficiency is improved; defects such as deformation and cracks of the water stop structure possibly occurring in the construction process can be detected more accurately, and therefore the construction control quality is effectively improved.

Description

Technical Field

[0001] The present application relates to the fields of image analysis and construction control, and in particular to a water-stopping construction control method and system for floodgate reinforcement projects. Background Art

[0002] A floodgate is a hydraulic structure that discharges floodwater through a gate and a beach. It is mainly used to regulate water levels and control flow. It can both block water and discharge water through a gate (or beach). It is a key facility in flood control, drainage, irrigation, and shipping systems.

[0003] Traditional waterstop construction control methods rely primarily on manual inspections and empirical judgment. Construction personnel assess construction quality through regular on-site inspections. However, manual assessments are susceptible to individual experience and subjective judgment, resulting in inconsistent quality assessments by different construction personnel for the same construction area. Without real-time feedback on construction quality during the construction process, problems are often discovered only after completion, increasing rework costs and the risk of project delays.

[0004] Therefore, there is an urgent need to provide a water-stopping construction control method and system for floodgate reinforcement projects. Summary of the Invention

[0005] In order to overcome the above-mentioned deficiencies, the present application provides a water-stopping construction control method and system for floodgate reinforcement projects.

[0006] The purpose of this application is achieved by the following technical solutions: The present application provides a water-stopping construction control method for a floodgate reinforcement project, which is applied to an information collection terminal and includes: Acquire multiple scanning areas of the target floodgate based on geometric modeling information; After the construction phase corresponding to the scanned area is completed, the first image data corresponding thereto is acquired using a visual acquisition device; A laser scanning device is used to obtain first point cloud data of the scanning area; an analysis is performed based on the first point cloud data and the corresponding first image data, and an evaluation result is output to a user device.

[0007] In some embodiments, acquiring first point cloud data of a scanning area using a laser scanning device includes: acquiring a sensor information set for each construction area corresponding to the construction plan, and associating the sensor information set with the scanning area based on geometric modeling information; and determining whether the associated scanning area meets a point cloud acquisition condition based on the sensor information set; When the scanning area meets the point cloud acquisition conditions, it is used as the target scanning area, and its corresponding three-dimensional point cloud data is obtained as the first point cloud data.

[0008] In some embodiments, the sensor information set includes first sensor information corresponding to the construction area, and second sensor information of the previous construction stage obtained based on the regional correspondence between the various construction stages, wherein the second sensor information includes sensor data of multiple areas; When the scanning area meets the point cloud acquisition conditions, it is used as the target scanning area, including: Acquire a target acquisition mode of a scanning area according to the second sensing information, wherein the target acquisition mode includes a first acquisition mode and a second acquisition mode; For the scanning area of the first acquisition mode, corresponding image information is acquired based on the geometric modeling information and the first image data, and the image information is pushed to the user device, and the construction control score sent by the user device is received; For the scanning area of the second acquisition mode, using a ground terminal or a satellite terminal, the first image data is input into a trained construction control scoring model to obtain a model score as the construction control score; When the construction control score meets the scoring requirements, the scanning area is considered to meet the point cloud acquisition conditions and is used as the target scanning area.

[0009] In some embodiments, the analyzing the first point cloud data and the corresponding first image data and outputting the evaluation result to the user device includes: Acquire multiple intermediate abnormal coordinates within the area according to the first point cloud data and use them as first abnormal position information; Acquire multiple intermediate abnormality coordinates within the area according to the first image data and use them as second abnormality position information; An abnormality score is acquired by using a ground terminal or a satellite terminal according to the first abnormality location information and the second abnormality location information, and the abnormality score is output to the user equipment as an evaluation result.

[0010] In some embodiments, the method of selecting the ground terminal and the satellite terminal includes: Determine whether the local processing capability of the ground terminal meets the local processing conditions. If so, use the ground terminal to obtain the model score. Otherwise, determine whether the remote processing capability of the satellite terminal meets the remote processing conditions. If so, use the satellite terminal to obtain the model score. Otherwise, output a prompt message to the user device.

[0011] In some embodiments, the remote processing capability determination process includes: Obtain corresponding queue waiting times according to respective queue processing capacities of the plurality of satellites, and select a plurality of satellites whose queue waiting times are lower than a preset waiting time as candidate satellites; Acquire signal-to-noise ratios with multiple candidate satellites, and use the candidate satellite corresponding to the maximum signal-to-noise ratio as a satellite terminal; Calculating the load and the computing capacity of the satellite terminal based on the score of the first image data, or calculating the load and the computing capacity of the satellite terminal based on the analysis of the first point cloud data and the corresponding first image data, and obtaining a task processing prediction time of the satellite terminal; Based on the upload and download delay data between the satellite terminal, the task processing prediction time and the queue waiting time, it is judged whether the corresponding task completion target time is met. If it is met, it is considered that the remote processing capability meets the remote processing conditions.

[0012] In some embodiments, before acquiring the plurality of scanning areas, the method further includes: Acquire geometric modeling information and a construction plan set of a target floodgate, wherein the construction plan set includes a construction plan generated according to water-stopping construction indicators of each construction stage; The sluice reinforcement and water-stopping construction is carried out according to a multi-stage construction plan, and the regional correspondence between each construction stage is obtained based on the geometric modeling information and construction constraints.

[0013] The present application also provides a water-stopping construction control system, comprising an information collection terminal, a visual collection device, and a laser scanning device; the information collection terminal is configured to: Acquire multiple scanning areas of the target floodgate based on geometric modeling information; After the construction phase corresponding to the scanned area is completed, the first image data corresponding thereto is acquired using a visual acquisition device; A laser scanning device is used to obtain first point cloud data of the scanning area; an analysis is performed based on the first point cloud data and the corresponding first image data, and an evaluation result is output to a user device.

[0014] The present application also provides an electronic device, which includes a memory and at least one processor, wherein the memory stores a computer program, and the processor is used to execute the computer program so that the electronic device can implement any of the methods described above.

[0015] The present application also provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by at least one processor, the steps of any of the above methods are implemented.

[0016] The present application provides a water-stopping construction control method and system for floodgate reinforcement projects. After the corresponding construction stage is completed, a visual acquisition device is used to capture the first image data, and at the same time, a sensor information set of the construction area is obtained. The sensor information set is associated with the corresponding construction area and the sensor data of the previous construction stage, and it is judged whether the scanning area meets the point cloud acquisition conditions.

[0017] The target acquisition mode of the scanning area is determined based on the second sensor information, and the construction control score is obtained according to different modes. When the score requirements are met, the scanning area is defined as the target scanning area for obtaining three-dimensional point cloud data. Subsequently, abnormal coordinates are extracted from the first point cloud data and the first image data to form abnormal position information, and then the abnormal score is obtained based on this and fed back to the user device.

[0018] The local processing capability of the ground terminal is evaluated. If the ground terminal meets the conditions, the ground terminal is preferentially used to analyze and process the first image data to obtain a model score. If the ground terminal does not meet the conditions, the remote processing capability of the satellite terminal is further determined. Based on the queue processing capacity of multiple satellites, the queue waiting time of each satellite is calculated, and candidate satellites with queue waiting time lower than the preset waiting time are screened out; then the signal-to-noise ratio between the candidate satellites is obtained, and the candidate satellite with the largest signal-to-noise ratio is selected as the satellite terminal; then, based on the score calculation load of the first image data (or the analysis calculation load of the first point cloud data and the corresponding first image data) and the computing capacity of the satellite terminal, the task processing prediction time of the satellite terminal is obtained; finally, the upload and download delay data between the satellite terminal and the task processing prediction time and the queue waiting time are comprehensively considered to determine whether the corresponding task completion target time is met. If so, it is considered that the remote processing capability meets the remote processing conditions, and the satellite terminal is used to obtain the model score. Otherwise, a prompt message is output to the user device.

[0019] The technical solution can include the following beneficial effects: Geometric modeling information and a construction plan set for the target floodgate are obtained, providing a spatial reference and construction schedule for the entire construction process. Watergate reinforcement and water-stopping construction is carried out according to a multi-stage construction plan, and regional correspondences between each construction stage are obtained, enabling data from different construction stages to be traced and associated, facilitating the timely identification of connection problems between construction stages during the construction process. Determining whether the scanned area meets the point cloud acquisition conditions based on the sensor information set ensures that subsequent point cloud data acquisition operations are performed only when the sensor information indicates that the scanned area meets suitable conditions, avoiding point cloud scanning under unsuitable conditions and saving computing resources. Anomaly location information is obtained based on the first point cloud data and the first image data, and anomaly scores are obtained using a ground terminal or a satellite terminal. This fully utilizes three-dimensional spatial geometric features and two-dimensional visual appearance features to detect anomalies in the construction area, avoiding missed or false detections that may occur with single-data source detection, and improving the accuracy and reliability of anomaly detection. Anomalies are converted into quantitative scores, allowing construction personnel and project management personnel to more intuitively and objectively understand the quality status of the construction area, facilitating timely measures to address them. The selection of ground and satellite terminals ensures the efficient operation of the method in various environments. By rationally allocating processing tasks and fully utilizing the computing resources of ground and satellite terminals, unnecessary communication costs and resource waste are avoided. At the same time, when the ground terminal fails or has insufficient performance, the satellite terminal can serve as a reliable backup solution to ensure the continuity of construction monitoring. In addition, by selecting the best satellite terminal and comprehensively evaluating remote processing capabilities, the timeliness of model scoring is ensured. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The present application is further described below with reference to the accompanying drawings and implementation methods.

[0021] Figure 1 It is a flow chart of a water-stopping construction control method provided in an embodiment of the present application.

[0022] Figure 2 This is a schematic diagram of a process for obtaining first point cloud data provided by an embodiment of the present application.

[0023] Figure 3 This is a flow chart of determining a target scanning area provided in an embodiment of the present application.

[0024] Figure 4 This is a flow chart of outputting evaluation results provided in an embodiment of the present application.

[0025] Figure 5 This is a flowchart of a remote processing capability determination process provided in an embodiment of the present application.

[0026] Figure 6 This is a flow chart of another water-stopping construction control method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] Below, the present application is further described in conjunction with the accompanying drawings and specific implementation methods. It should be noted that, under the premise of no conflict, the various embodiments described below or the various technical features can be arbitrarily combined to form new embodiments. The implementation procedures of the present application will be described below with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present application from the contents disclosed in this specification. The present application can also be implemented or applied through other different specific implementation procedures, and the various details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present application. It should be understood that the preferred embodiments are only for the purpose of illustrating the present application, and are not intended to limit the scope of protection of the present application.

[0028] The following briefly describes the application scenarios and related terms of the embodiments of the present application to facilitate understanding by those skilled in the art.

[0029] Nonterrestrial networks (NTNs) refer to networks that use non-terrestrial communication infrastructure such as satellites to achieve communication coverage.

[0030] With the advancement of technology, building information modeling (BIM) technology has been applied to the construction control process. Taking the BIM-based construction data processing method and system disclosed in CN202411578649.1 as an example, by obtaining the corrected spatial coordinates of the real-time construction scene, constructing a point cloud data set, importing it into the BIM system, building a simulation progress model and quality assessment indicators, comparing the construction progress and quality in real time, and automatically managing the construction process. However, in actual applications, BIM technology can usually only provide design models or models after in-depth design, which are more used to reflect design intent and guide the construction process, and cannot better reflect the actual construction control effect.

[0031] Specifically, even if Building Information Modeling (BIM) technology is applied to the water-stopping construction control process, since it mainly integrates the building geometric model with information such as construction progress and cost, and focuses on model visualization and information management, its ability to access and integrate real-time data during the construction process is limited. The technical solution of this application integrates geometric modeling information, image data obtained by visual acquisition equipment, point cloud data obtained by laser scanning equipment, and sensor information obtained by various sensors, realizing comprehensive analysis of multi-dimensional data. It not only enriches the data source for construction quality assessment, but also improves the accuracy and reliability of the assessment through mutual verification between data.

[0032] BIM model updates typically rely on manual input or periodic batch data updates, making real-time construction monitoring and feedback impossible. The technical solution of this application acquires and analyzes data promptly after each construction phase, enabling dynamic monitoring of construction control. Once an abnormality is detected, feedback can be quickly provided and measures can be taken to prevent the problem from further deteriorating, effectively improving the efficiency and quality of the construction control process.

[0033] BIM technology usually relies on ground terminals or fixed network environments for data processing and transmission. For construction projects in remote areas, the continuity of data transmission and processing is difficult to guarantee. The technical solution of this application takes into account that both ground terminals and satellite terminals have certain data processing capabilities. When the ground terminal meets the local processing conditions, data processing is completed directly locally without uploading the data to a remote server or cloud. Edge computing is performed near the data generation source (such as the ground terminal at the construction site) to reduce data transmission delays, reduce bandwidth requirements and improve real-time performance. When there are insufficient ground terminals, remote processing is performed through satellite terminals to ensure the continuity and stability of data processing, while avoiding unnecessary waste of resources.

[0034] For ease of understanding, the following will first explain the method and then the system.

[0035] Example 1 See also Figure 1 , Figure 1 It is a flow chart of a water-stopping construction control method provided in an embodiment of the present application.

[0036] The water-stopping construction control method for floodgate reinforcement projects provided in this embodiment is applied to an information collection terminal, which is an electronic device used to collect various data during the construction process of the floodgate reinforcement project. The method includes: S102, acquiring multiple scanning areas of the target floodgate according to the geometric modeling information; Before the floodgate reinforcement project begins, geometric modeling is performed on the target floodgate to obtain its geometric modeling information. Multiple scanning areas are then divided based on this geometric modeling information. The scanning area serves as a key spatial unit for subsequent construction monitoring and quality assessment, ensuring comprehensive coverage of the key parts of the floodgate. This geometric modeling information includes, for example, the floodgate's three-dimensional coordinate system, which defines its position and orientation in space; the outline dimensions and positions of its piers, gate slots, and valves; and the geometric topological relationships between the piers, gate slots, and valves, indicating the connections and / or adjacency between these components.

[0037] S104, after the construction phase corresponding to the scanned area is completed, using a visual acquisition device to acquire the corresponding first image data; After the construction phase corresponding to each scanned area is completed, the first image data corresponding to the area is acquired using a visual acquisition device (e.g., a high-resolution camera, etc.). The visual acquisition device can capture data such as the surface condition and color changes of the water-stop structure at the construction site.

[0038] S106, using a laser scanning device to obtain first point cloud data of the scanning area; analyzing the first point cloud data and the corresponding first image data, and outputting an evaluation result to the user device.

[0039] Use a laser scanning device to obtain the first point cloud data of the scanning area. The laser scanning device measures the spatial position information of objects in the scanning area by emitting laser pulses to the target area and receiving the reflected signals, generating three-dimensional point cloud data. That is, the point cloud data records the geometric shape and spatial distribution of the construction area in detail. Then, a comprehensive analysis is performed based on the acquired first point cloud data and the corresponding first image data. On the one hand, the point cloud data provides accurate three-dimensional geometric information of the construction area; on the other hand, the image data provides appearance information such as color and texture. The two are combined for analysis to better evaluate the conditions of the construction area, such as the integrity of the water-stop structure and size matching. Finally, the evaluation results obtained from the analysis are output to the user device for construction personnel to make decisions on the water-stop construction control process.

[0040] By combining geometric modeling, visual image data, and laser point cloud data, this embodiment can evaluate the construction control of the floodgate reinforcement project from multiple dimensions. Compared with the evaluation method based on a single data source, the fusion of multiple data sources can more accurately detect defects that may occur during the construction process, such as deformation and cracks in the water-stop structure, thereby effectively improving the quality of construction control.

[0041] Compared with related technologies, manual evaluation is easily affected by differences in personal experience and subjective judgment, and different construction workers may have inconsistent quality assessment results for the same area. The technical solution provided in this application conducts a comprehensive analysis of image data acquired through visual acquisition equipment and point cloud data acquired through laser scanning equipment, and generates evaluation results based on these objective data, which reduces interference from human factors and improves the consistency and accuracy of the evaluation. According to the construction plan, data is acquired and analyzed in a timely manner after the completion of each construction stage, realizing dynamic monitoring of construction control. Compared with the method of unified evaluation after the completion of construction, problems can be discovered earlier and fed back to subsequent construction control, thereby improving the construction efficiency corresponding to the construction control process.

[0042] See also Figure 2 In some embodiments, the step of acquiring first point cloud data of a scanning area using a laser scanning device includes: S201, obtaining a sensor information set for each construction area corresponding to the construction plan, and associating it with the scan area based on geometric modeling information; and determining whether the associated scan area meets the point cloud acquisition conditions based on the sensor information set; The sensor information set comes from a variety of sensors, such as strain sensors and displacement sensors installed at the construction site. These sensors can capture real-time changes in various physical quantities within the construction area, such as structural deformation. The scanned area is then correlated with the geometric modeling information, which provides the detailed spatial structure of the floodgate. This correlation allows the precise location of the specific scanned area corresponding to each sensor information point within the overall floodgate model. This allows the scattered sensor data to be mapped to a three-dimensional map of the floodgate, providing a clear spatial reference for the data.

[0043] Point cloud acquisition conditions include, for example, whether the deformation of the area detected by the sensor is within a certain threshold range. Only when the sensor information indicates that the scanning area has the appropriate conditions will the subsequent point cloud data acquisition operation be carried out.

[0044] S202, when the scanning area meets the point cloud acquisition condition, taking it as the target scanning area, and acquiring the corresponding three-dimensional point cloud data as the first point cloud data; Filtering out the areas requiring detailed point cloud scanning from a wide range of possible (to-be) scanned areas avoids ineffective scanning of unimportant areas and improves work efficiency. Laser scanning equipment (such as a 3D laser scanner) is used to acquire 3D point cloud data of the target scan area, which serves as the first point cloud data. This 3D point cloud data accurately captures the geometry and spatial details of the target scan area.

[0045] S203, when the scanning area does not meet the point cloud acquisition conditions, obtain the sensor information set of the next construction area and determine whether the corresponding scanning area meets the point cloud acquisition conditions until the construction plan is completed (construction is completed).

[0046] In actual construction, most scan areas do not require point cloud data acquisition. When a scan area fails to meet the requirements, a loop judgment mechanism is initiated. Specifically, the sensor information set for the next construction area is acquired, and the judgment process described in S201 is repeated. Based on the association between the new sensor information set and the geometric modeling information, the judgment is made as to whether this new scan area meets the point cloud acquisition requirements. This ensures that all scan areas that may meet the requirements are effectively monitored in complex construction environments, avoiding the omission of any critical areas.

[0047] The technical solution provided in this embodiment, by first acquiring a set of sensor information and performing correlation analysis, can capture point cloud data only for scan areas that meet the requirements, avoiding indiscriminate scanning of all scan areas and saving computing power. Furthermore, sensor information can reflect the real-time physical state of the construction area, while geometric modeling information provides an overall spatial framework. Combining these two to acquire point cloud data can more accurately locate construction problems.

[0048] In some embodiments, the sensor information set includes first sensor information corresponding to the construction area, and second sensor information of the previous construction stage obtained based on the regional correspondence between the various construction stages, wherein the second sensor information includes sensor data of multiple areas; See also Figure 3 , when the scanning area meets the point cloud acquisition conditions, it is used as the target scanning area, including: S301, acquiring a target acquisition mode of a scanning area according to the second sensing information, where the target acquisition mode includes a first acquisition mode and a second acquisition mode; S302, for the scan area of the first acquisition mode, acquiring corresponding image information based on the geometric modeling information and the first image data, pushing the image information to the user device, and receiving the construction control score sent by the user device; S303: For the scan area in the second acquisition mode, using a ground terminal or a satellite terminal, input the first image data into a trained construction control scoring model to obtain a model score as a construction control score; S304: When the construction control score meets the score requirements, the scan area is considered to meet the point cloud acquisition conditions and is used as the target scan area.

[0049] In floodgate reinforcement projects, sensor information sets are used to comprehensively reflect the actual conditions corresponding to construction control. Based on the regional correspondence between each construction phase, secondary sensor information from the previous construction phase is integrated to cover sensor data from multiple adjacent or related areas. For example, during the pier construction phase, sensor data from the foundation construction at the pier base can be obtained.

[0050] When it is necessary to determine whether the scanned area meets the point cloud acquisition conditions, the target acquisition mode (first acquisition mode and second acquisition mode) of the scanned area is first determined based on the second sensor information. If the scanned area meets the first acquisition mode, the geometric modeling information and the first image data (such as a high-definition color image of the construction area) are combined to generate image information containing the shape, size, color and texture of the area and push it to the user device in real time. Construction personnel or engineers use this to evaluate the construction quality and provide feedback on the construction control score. If the scanned area meets the second acquisition mode, the first image data is automatically input into a construction control scoring model trained with a large amount of sample data. The model intelligently analyzes the construction quality based on image features and obtains a score. If the score meets the preset requirements, the scanned area is determined to meet the point cloud acquisition conditions and becomes the target scanning area. Among them, the construction control scoring model is, for example, a convolutional neural network (CNN) model, which automatically extracts local features of the image through the convolution layer, and finally outputs a score after processing and learning by multiple layers of neural networks. The convolution layer of the CNN can automatically extract local features of the image (such as edges and texture), and the pooling layer can reduce the data dimension and enhance the translation invariance of the features.

[0051] Considering the floodgate reinforcement project as an integrated whole, each construction phase is interconnected. If the previous phase is divided into multiple modules, such as the concrete pouring module and waterstop installation module within the gate slab, the quality of these modules will affect the subsequent pier and gate modules. For example, if the concrete pouring in a certain area of the gate slab is not dense or the waterstop is not properly installed, the gate pier foundation in that area may be unstable, affecting the overall quality and stability of the pier.

[0052] The technical solution provided in this embodiment integrates the first sensory information from the current construction area with the second sensory information from the previous construction phase to form a multidimensional dataset. This integration provides a more comprehensive reflection of the construction area's conditions, avoiding misjudgments due to incomplete data. The first acquisition mode allows construction personnel to intuitively view image information and provide feedback and scoring, making it suitable for scenarios requiring manual judgment. The second acquisition mode utilizes a model for automatic scoring, which is efficient and objective, and is suitable for repetitive and regular construction processes. The combination of the two enhances the method's flexibility and adaptability.

[0053] In some embodiments, the acquiring a target acquisition mode of the scanning area according to the second sensing information includes: acquiring a predefined water-stopping quality scoring standard and weight; Calculate the score of each area and its average score and standard deviation according to the weight based on the sensor data of each area in the second sensor information, and determine the waterstop quality score based on the average score, standard deviation and adjustment coefficient; When the waterstop quality score is lower than the quality score requirement, the target acquisition mode is considered to be the first acquisition mode; otherwise, the target acquisition mode is considered to be the second acquisition mode.

[0054] In specific applications, the construction plan includes the construction phases for the gate base plate, gate piers, and gates. During the gate base plate construction phase, piezometers and displacement gauges are installed in the corresponding construction areas. The piezometers monitor the seepage pressure in the gate base plate, blanket, and other areas to identify localized failures of the waterstop system or changes in the foundation. Displacement gauges monitor deformation of the concrete structure. During the gate pier construction phase, strain gauges and inclinometers are installed in the corresponding construction areas. Strain gauges monitor the strain of the pier concrete. Excessive or sudden strain indicates uneven stress on the pier or uneven foundation settlement, which can affect the waterstop's effectiveness. Inclinometers monitor the pier's inclination. Excessive pier inclination can cause cracks at the junction of the waterstop and adjacent structures. Monitoring the inclination angle allows for timely detection and reinforcement. During the gate construction phase, pressure sensors are installed in the corresponding construction areas to monitor the pressure distribution between the gate waterstop rubber and the gate groove. Uneven or insufficient pressure can cause the gate to close loosely and leak.

[0055] In specific applications, pre-defined criteria and weights are used to evaluate waterstop quality. For example, for displacement sensor (displacement meter) data, smaller displacements are associated with higher quality scores. Weights can be assigned to each sensor data type, such as 40% for seepage pressure and 60% for displacement. Next, sensor data for each area in the second sensory information is collected, including data such as seepage rate, displacement, and stress. The collected data is pre-processed, including noise removal and data normalization.

[0056] Then, the sensor data for each area is weighted and summed according to predetermined weights to obtain a score for each area. The average score and standard deviation of the scores for each area are obtained. The waterstop quality score is the difference between the average score and the standard data. The standard data is the product of the standard deviation and the adjustment coefficient. The adjustment coefficient is used to adjust the degree of influence of the standard deviation on the waterstop quality score. In specific applications, the corresponding waterstop quality score can be obtained based on the sensor data through other methods, which are not limited in this application.

[0057] See also Figure 4 In some embodiments, the step of analyzing the first point cloud data and the corresponding first image data and outputting an evaluation result to a user device includes: S401, obtaining a plurality of intermediate abnormal coordinates within the area according to the first point cloud data and using them as first abnormal position information; S402, acquiring a plurality of intermediate abnormality coordinates within the region according to the first image data and using them as second abnormality position information; S403: Obtain an anomaly score using a ground terminal or a satellite terminal according to the first anomaly location information and the second anomaly location information, and output the anomaly score as an evaluation result to the user equipment.

[0058] In specific applications, based on the acquired first point cloud data, a point cloud processing algorithm (such as an outlier detection algorithm based on distance statistics or an outlier identification method based on cluster analysis) can be used to search for and determine multiple intermediate anomaly coordinates within the three-dimensional space of the construction area. These anomaly coordinates are used to indicate suspicious locations within the construction area where deviations have occurred, such as depressions, protrusions, or endpoints of cracks on the surface of a water-stop structure. The resulting coordinates are aggregated to form first anomaly location information, which is used to provide anomaly information based on precise spatial locations.

[0059] Using image processing techniques (such as edge detection algorithms to identify irregular changes in structural contours and texture analysis methods to identify abnormal areas of surface texture) for the first image data, multiple intermediate anomaly coordinates are detected and recorded in the two-dimensional image plane. These intermediate anomaly coordinates correspond to suspicious locations in the construction area, such as areas of sudden color changes (possibly signs of water seepage) or irregular shapes (possibly indicating construction damage). These anomaly coordinates are then integrated into secondary anomaly location information, providing visual information for subsequent analysis.

[0060] In specific applications, the first abnormal position information and the first point cloud data and the second abnormal position information and the first image data can be used as inputs. The abnormal information of the two can be combined to calculate the abnormality score on the ground terminal or satellite terminal using a pre-designed abnormality assessment model (the abnormality assessment model can be a rule-based expert system that comprehensively considers factors such as the number of abnormal coordinates, distribution density, and importance of the location; it can also be a machine learning-based model trained with a large amount of data on known abnormal situations). Point cloud data is more accurate in three-dimensional spatial positioning and shape construction, but may be relatively lacking in target surface details and texture information; image data, on the other hand, is rich in appearance details but has certain limitations in depth perception and other aspects. By fusing the data of the two, they can complement and verify each other, improving the accuracy and reliability of the scoring. In specific applications, considering that point cloud data and image data come from different sources, each with a different coordinate system, sampling frequency, and timestamp, data registration is used to match them in space and time. This application does not restrict the data preprocessing method. For example, temporal registration can be performed using methods such as data interpolation and resampling to align different data in the time dimension. Before registration, the data can be preprocessed by cleaning, filtering, feature enhancement, and normalization to improve data quality and consistency. In this embodiment, the anomaly score can be considered to quantify the degree of anomaly in the construction area.

[0061] It's worth noting that the waterstop quality score is determined based on the sensor data for each area in the second sensor information, using the average score, standard deviation, and adjustment coefficient. This approach offers the advantages of simple calculation and rapid judgment. The final anomaly score here isn't derived solely through the simple calculation described above, but rather through a comprehensive evaluation model. The model's evaluation results more comprehensively reflect actual conditions because they integrate multiple factors and complex interrelationships, providing a more accurate and reliable anomaly assessment.

[0062] The calculated anomaly score, as the evaluation result, is transmitted to the user device via a communication module (e.g., a wireless communication network, satellite communication link, etc.). The user device can be a monitoring terminal at the construction site, a mobile device of the project management team, or a computer at a remote monitoring center. This allows relevant personnel to promptly understand the status of the construction area and provide a basis for subsequent construction control decisions.

[0063] The technical solution provided by this embodiment detects abnormal conditions in the construction area by integrating the abnormal coordinate information extracted from the first point cloud data and the first image data, and comprehensively utilizing the three-dimensional spatial geometric features and the two-dimensional visual appearance features. The combination of the two can avoid the omission or false detection that may occur in the detection of a single data source, and significantly improves the accuracy and reliability of abnormality detection. On the other hand, the use of ground terminals or satellite terminals to calculate the abnormality score enables the method to adapt to different construction scenarios and environmental conditions. It can be considered that at a construction site with good communication conditions, the ground terminal can quickly complete the score calculation and provide timely feedback on the results; in remote areas or construction environments with limited communication, the satellite terminal can ensure that the transmission and processing of data are not affected, thereby ensuring the continuity and stability of the evaluation work and broadening the scope of application of the method. On the other hand, the evaluation results corresponding to the abnormality scores of the completed steps are obtained through the user equipment during the construction process, rather than a one-time evaluation after the completion of the entire project, to avoid further deterioration of the problem.

[0064] In some embodiments, the method of selecting the ground terminal and the satellite terminal includes: Determine whether the local processing capability of the ground terminal meets the local processing conditions. If so, use the ground terminal to obtain the model score. Otherwise, determine whether the remote processing capability of the satellite terminal meets the remote processing conditions. If so, use the satellite terminal to obtain the model score. Otherwise, output a prompt message to the user device.

[0065] During the construction of the floodgate reinforcement project, the local processing capabilities of the ground terminal are first evaluated to determine whether they meet the local processing conditions. Local processing conditions include the hardware performance (such as processor speed, memory capacity, etc.) and software configuration (such as algorithm efficiency, available storage space, etc.) of the ground terminal, as well as the free computing power of the ground terminal, to ensure that the ground terminal can complete the model scoring task efficiently and accurately. If the ground terminal has sufficient computing power, the ground terminal is used first to analyze and process the first image data to obtain the model score.

[0066] Considering cost factors, only when the ground terminal fails to meet local processing requirements will the satellite terminal's remote processing capabilities be further evaluated to determine if they meet the requirements. Remote processing requirements primarily consider factors such as the satellite terminal's communication bandwidth, signal stability, and mission load. If the satellite terminal meets the requirements, a request message containing the data to be processed is transmitted to the satellite terminal via the satellite communication link for processing and the corresponding model score is obtained. If the satellite terminal fails to meet the requirements, a prompt message is output to the user device, notifying the relevant personnel that effective model scoring is currently unavailable.

[0067] When processing data using a ground terminal, the data is calculated and analyzed locally to generate a model score, reducing communication costs. When processing data using a satellite terminal, the data is sent to the satellite terminal via a communication module. The satellite terminal then uses its computing resources to process the data and returns the model score results to the user device, ensuring continuous and accurate data processing even when ground terminal capacity is insufficient.

[0068] The technical solution provided by this embodiment can adjust the data processing method according to different construction scenarios and the actual conditions of the ground terminal and satellite terminal in each scenario, ensuring the efficient operation of the method. When communication conditions are good and the ground terminal performance is strong, the ground terminal is prioritized to quickly obtain model scores. In remote areas or when the ground terminal performance is insufficient, the satellite terminal can serve as a reliable backup solution to ensure the continuity of the method implementation. On the other hand, it fully utilizes the computing resources of the ground terminal and satellite terminal, avoiding the unnecessary communication costs and resource waste caused by still using the satellite terminal when the ground terminal capacity is sufficient. By comprehensively evaluating the remote processing capabilities of the satellite terminal, the optimal satellite resources are selected for data processing. In this case, the satellite terminal is regarded as an extension of cloud computing resources, taking on computing tasks that the ground terminal cannot complete. Based on task requirements and device capabilities, a mechanism for dynamically allocating and coordinating between local processing (edge computing) and remote processing (cloud computing) is established, achieving edge-cloud collaboration and efficient data processing, ensuring the continuity and stability of data processing, while avoiding unnecessary resource waste.

[0069] See also Figure 5In some embodiments, the process of determining remote processing capability includes: S501, obtaining corresponding queue waiting times according to queue processing capacities of the plurality of satellites, and selecting a plurality of satellites whose queue waiting times are lower than a preset waiting time as candidate satellites; Queue processing capacity information is collected for multiple satellites. Queue processing capacity includes both occupied and unoccupied space in their task queues. This information reflects the satellite's remaining capacity to receive and process tasks. Based on this queue processing capacity information, the queue waiting time for each satellite is calculated—the time it takes for a new task to be submitted and processed. A shorter queue waiting time indicates that the satellite has relatively sufficient processing resources and can respond more quickly to new processing requests. Satellites with queue waiting times below the preset waiting time are selected as candidate satellites. This preset waiting time is set based on the urgency and real-time requirements of the construction task, ensuring that only satellites that can meet timeliness requirements proceed to the next evaluation step.

[0070] S502, obtaining signal-to-noise ratios with multiple candidate satellites, and selecting the candidate satellite corresponding to the maximum signal-to-noise ratio as a satellite terminal; For multiple candidate satellites, measure and obtain the signal-to-noise ratio (SNR) with them. SNR is a key indicator of communication quality; a higher SNR indicates a clearer and more stable satellite signal, with less interference during data transmission. This application does not restrict the SNR calculation method, but all satellites use the same method to calculate and obtain the SNR.

[0071] The satellite can be a GEO satellite. Selecting the candidate satellite with the highest signal-to-noise ratio as the final satellite terminal ensures a high-quality communication link between the ground station and the satellite, reduces data transmission errors and retransmissions, and improves data transmission efficiency and reliability. In specific applications, the signal-to-interference-and-noise ratios (SINRs) between multiple candidate satellites can be obtained, and the candidate with the highest SNR can be selected as the satellite terminal.

[0072] S503, calculating the load and the computing capacity of the satellite terminal based on the score of the first image data, or calculating the load and the computing capacity of the satellite terminal based on the analysis of the first point cloud data and the corresponding first image data, and obtaining a task processing prediction time of the satellite terminal; The computing resources required for the task are estimated based on the computational load of scoring the first image data or analyzing the first point cloud data and the corresponding first image data. The computational load factors in algorithm complexity and data size. The time required for the satellite terminal to complete the task is estimated based on the computing power of the satellite terminal. By matching the computational load with the computing power of the satellite terminal, a relatively accurate prediction of the task processing time is obtained.

[0073] S504: Determine whether the corresponding task completion target time is met based on the upload and download delay data between the satellite terminal and the satellite terminal, the task processing prediction time, and the queue waiting time. If so, it is considered that the remote processing capability meets the remote processing conditions.

[0074] Collect upload and download latency data between the ground station and the satellite terminal. This data includes upload latency and download latency. Upload latency refers to the time required to send data from the ground station to the satellite terminal, while download latency refers to the time required to receive processed results from the satellite terminal. This data, along with the predicted task processing time and queue waiting time, constitutes the total task completion time. A determination is then made as to whether this total time meets the corresponding task completion target time. The task completion target time is set during construction planning based on the construction schedule and real-time requirements. If so, the remote processing capability is deemed to meet the remote processing requirements, and the task can be submitted to the satellite terminal for processing.

[0075] The technical solution provided in this embodiment selects satellites based on multiple factors, such as queue waiting time and signal-to-noise ratio, to ensure that the most suitable satellite resources are selected for each mission. This avoids problems such as long queues and unstable data transmission that can result from blindly selecting satellites, thereby improving the utilization efficiency of limited satellite resources. Furthermore, by comprehensively considering the computing load and the computing power of the satellite terminal, task processing time can be more accurately predicted.

[0076] See also Figure 6 In some embodiments, before acquiring the plurality of scanning areas, the method further includes: S101, obtain the geometric modeling information and construction plan set of the target floodgate, wherein the construction plan set includes a construction plan generated according to the water-stopping construction indicators of each construction stage; perform water gate reinforcement and water-stopping construction according to the multi-stage construction plan, and obtain the regional correspondence between each construction stage based on the geometric modeling information and construction constraints.

[0077] Before construction of the floodgate reinforcement project begins, the first step is to obtain geometric modeling information for the target floodgate. This geometric modeling information details key data such as the floodgate's geometry, dimensions, structural layout, and the spatial relationships between its components. This information can be digitally modeled based on the engineering design drawings.

[0078] At the same time, a construction plan is obtained, in which each construction phase has corresponding waterstop construction indicators, providing detailed arrangements and goals for the entire construction process. Waterstop construction indicators are formulated based on factors such as project design requirements, safety standards, and expected waterstop effects, and are used to constrain construction activities at each stage.

[0079] During construction, geometric modeling information and construction constraints (such as equipment accessibility and material supply limitations) are combined to determine the regional correspondence between each construction phase. For example, establishing a correspondence between the multiple pier construction areas of a floodgate and the subsequent gate channel construction area, clarifying the spatial and construction sequence relationship between them, will help accurately locate and associate data from different construction phases in subsequent method steps.

[0080] The technical solution provided in this embodiment can optimize construction organization and management by carrying out multi-stage construction according to a construction plan set and establishing regional correspondence.

[0081] As an example, a water-stopping construction control method for a floodgate reinforcement project is provided, which is applied to an information collection terminal. The method includes: Acquire geometric modeling information and a construction plan set of a target floodgate, wherein the construction plan set includes a construction plan generated according to water-stopping construction indicators of each construction stage; Performing sluice reinforcement and water-stopping construction according to a multi-stage construction plan, and obtaining regional correspondences between various construction stages based on the geometric modeling information and construction constraints; Acquire multiple scanning areas of the target floodgate based on geometric modeling information; After the construction phase corresponding to the scanned area is completed, the first image data corresponding thereto is acquired using a visual acquisition device; Acquire a sensor information set for each construction area corresponding to the construction plan and associate it with the scan area based on the geometric modeling information; determine whether the associated scan area meets the point cloud acquisition conditions based on the sensor information set; the sensor information set includes first sensor information corresponding to the construction area and second sensor information of the previous construction stage obtained based on the regional correspondence between the various construction stages, the second sensor information including sensor data of multiple areas; Acquire a target acquisition mode of a scanning area according to the second sensing information, wherein the target acquisition mode includes a first acquisition mode and a second acquisition mode; For the scanning area of the first acquisition mode, corresponding image information is acquired based on the geometric modeling information and the first image data, and the image information is pushed to the user device, and the construction control score sent by the user device is received; For the scanning area of the second acquisition mode, using a ground terminal or a satellite terminal, the first image data is input into a trained construction control scoring model to obtain a model score as the construction control score; When the construction control score meets the scoring requirements, the scanning area is considered to meet the point cloud acquisition conditions and is used as the target scanning area, and the corresponding three-dimensional point cloud data is obtained as the first point cloud data; Based on the first point cloud data, multiple intermediate abnormality coordinates within the area are obtained and used as first abnormality position information; based on the first image data, multiple intermediate abnormality coordinates within the area are obtained and used as second abnormality position information; based on the first abnormality position information and the second abnormality position information, an abnormality score is obtained using a ground terminal or a satellite terminal, and the abnormality score is output to the user device as an evaluation result.

[0082] The options for ground terminals and satellite terminals include: Determine whether the local processing capacity of the ground terminal meets the local processing conditions. If so, use the ground terminal to obtain a model score. Otherwise, obtain the corresponding queue waiting time based on the queue processing capacity of each of the multiple satellites, and select multiple satellites with queue waiting times lower than the preset waiting time as candidate satellites. Acquire signal-to-noise ratios with multiple candidate satellites, and use the candidate satellite corresponding to the maximum signal-to-noise ratio as a satellite terminal; Calculating the load and the computing capacity of the satellite terminal based on the score of the first image data, or calculating the load and the computing capacity of the satellite terminal based on the analysis of the first point cloud data and the corresponding first image data, and obtaining a task processing prediction time of the satellite terminal; Based on the upload and download delay data, task processing prediction time and queue waiting time between the satellite terminal, it is judged whether the corresponding task completion target time is met. If it is met, it is considered that the remote processing capability meets the remote processing conditions; if it is met, the satellite terminal is used to obtain the model score, otherwise a prompt message is output to the user device.

[0083] After the corresponding construction stage is completed, the first image data is captured using visual acquisition equipment, and the sensor information set of the construction area is obtained at the same time. The sensor information set is associated with the corresponding construction area and the sensor data of the previous construction stage, and is used to determine whether the scanning area meets the point cloud acquisition conditions.

[0084] That is to say, in terms of water-stopping construction control in floodgate reinforcement projects, relevant technologies have many limitations, including: the data processing method during construction is relatively simple, and often relies solely on ground terminals for data calculation and analysis, making it difficult to ensure the continuity and stability of data processing in remote areas or construction environments with poor communication conditions. Once the ground terminal fails or has insufficient performance, the entire process is easily interrupted, and the reliability of data processing cannot be guaranteed; the relevant technologies have relatively limited evaluation methods during the control process, and usually only rely on a single data source for detection, which is prone to missed judgments and cannot accurately locate and quantify abnormal situations during construction, resulting in construction personnel finding it difficult to understand the construction quality status in a timely and accurate manner, affecting the timeliness and effectiveness of construction control; the relevant technologies lack optimization in data transmission and processing processes, and fail to fully consider key factors such as the timeliness of task processing during data transmission, resulting in low data transmission efficiency and the timeliness of processing results unable to meet the requirements of the construction progress.

[0085] This example determines the target acquisition mode of the scanning area based on the second sensor information, obtains the construction control score according to different modes, and defines the scanning area as the target scanning area for obtaining three-dimensional point cloud data when the score requirements are met. Subsequently, abnormal coordinates are extracted from the first point cloud data and the first image data to form abnormal position information, and then the abnormal score is obtained based on this and fed back to the user device.

[0086] The local processing capability of the ground terminal is evaluated. If the ground terminal meets the conditions, the ground terminal is preferentially used to analyze and process the first image data to obtain a model score. If the ground terminal does not meet the conditions, the remote processing capability of the satellite terminal is further determined. Based on the queue processing capacity of multiple satellites, the queue waiting time of each satellite is calculated, and candidate satellites with queue waiting time lower than the preset waiting time are screened out; then the signal-to-noise ratio between the candidate satellites is obtained, and the candidate satellite with the largest signal-to-noise ratio is selected as the satellite terminal; then, based on the score calculation load of the first image data (or the analysis calculation load of the first point cloud data and the corresponding first image data) and the computing capacity of the satellite terminal, the task processing prediction time of the satellite terminal is obtained; finally, the upload and download delay data between the satellite terminal and the task processing prediction time and the queue waiting time are comprehensively considered to determine whether the corresponding task completion target time is met. If so, it is considered that the remote processing capability meets the remote processing conditions, and the satellite terminal is used to obtain the model score. Otherwise, a prompt message is output to the user device.

[0087] Compared to related technologies, this approach offers the advantage of obtaining geometric modeling information and a construction plan for the target floodgate, providing a spatial reference and construction schedule for the entire construction process. Floodgate reinforcement and waterstopping construction is performed according to a multi-stage construction plan, and regional correspondences between each construction stage are obtained, enabling data from different construction stages to be traced and correlated, helping to promptly identify any gaps in the connection between different stages during the construction process. Determining whether the scanned area meets the point cloud acquisition requirements based on the sensor information set ensures that subsequent point cloud data acquisition is performed only when the sensor information indicates that the scanned area meets suitable conditions, avoiding point cloud scanning under unsuitable conditions and conserving computing resources. Anomaly location information is obtained based on the first point cloud data and the first image data, and anomaly scores are obtained using a ground terminal or satellite terminal. This fully utilizes 3D spatial geometric features and 2D visual appearance features to detect anomalies in the construction area, avoiding potential missed or false detections that can occur with single-source detection, and improving the accuracy and reliability of anomaly detection. Converting anomalies into quantitative scores allows construction personnel and project management personnel to more intuitively and objectively understand the quality status of the construction area, facilitating timely action to address them. The selection of ground and satellite terminals ensures the efficient operation of the method in various environments. By rationally allocating processing tasks and fully utilizing the computing resources of ground and satellite terminals, unnecessary communication costs and resource waste are avoided. At the same time, when the ground terminal fails or has insufficient performance, the satellite terminal can serve as a reliable backup solution to ensure the continuity of construction monitoring. In addition, by selecting the best satellite terminal and comprehensively evaluating remote processing capabilities, the timeliness of model scoring is ensured.

[0088] Example 2 This embodiment provides a water-stopping construction control system, the specific embodiments of which are consistent with the embodiments described in the above-mentioned embodiment 1 and the technical effects achieved, and some contents will not be repeated here.

[0089] It includes an information collection terminal, a visual collection device and a laser scanning device; the information collection terminal is configured to: Acquire multiple scanning areas of the target floodgate based on geometric modeling information; After the construction phase corresponding to the scanned area is completed, the first image data corresponding thereto is acquired using a visual acquisition device; A laser scanning device is used to obtain first point cloud data of the scanning area; an analysis is performed based on the first point cloud data and the corresponding first image data, and an evaluation result is output to a user device.

[0090] In some embodiments, before acquiring the multiple scanning areas, the information collection terminal is further configured to: The geometric modeling information and construction plan set of the target floodgate are obtained, wherein the construction plan set includes a construction plan generated according to the water-stopping construction indicators of each construction stage; the sluice reinforcement and water-stopping construction is performed according to the multi-stage construction plan, and the regional correspondence between each construction stage is obtained based on the geometric modeling information and construction constraints.

[0091] In some embodiments, the information collection terminal is configured to acquire first point cloud data of the scanning area using a laser scanning device in the following manner: Acquire a sensor information set for each construction area corresponding to the construction plan, and associate it with the scan area based on the geometric modeling information; determine whether the associated scan area meets the point cloud acquisition conditions based on the sensor information set; When the scanning area meets the point cloud acquisition conditions, it is used as the target scanning area, and its corresponding three-dimensional point cloud data is obtained as the first point cloud data.

[0092] In some embodiments, the sensor information set includes first sensor information corresponding to the construction area, and second sensor information of the previous construction stage obtained based on the regional correspondence between the various construction stages, wherein the second sensor information includes sensor data of multiple areas; When the scanning area meets the point cloud acquisition conditions, it is used as the target scanning area, including: Acquire a target acquisition mode of a scanning area according to the second sensing information, wherein the target acquisition mode includes a first acquisition mode and a second acquisition mode; For the scanning area of the first acquisition mode, corresponding image information is acquired based on the geometric modeling information and the first image data, and the image information is pushed to the user device, and the construction control score sent by the user device is received; For the scanning area of the second acquisition mode, using a ground terminal or a satellite terminal, the first image data is input into a trained construction control scoring model to obtain a model score as the construction control score; When the construction control score meets the scoring requirements, the scanning area is considered to meet the point cloud acquisition conditions and is used as the target scanning area.

[0093] In some embodiments, the information collection terminal is configured to analyze the first point cloud data and the corresponding first image data in the following manner and output an evaluation result to the user device: Acquire multiple intermediate abnormal coordinates within the area according to the first point cloud data and use them as first abnormal position information; Acquire multiple intermediate abnormality coordinates within the area according to the first image data and use them as second abnormality position information; An abnormality score is acquired by using a ground terminal or a satellite terminal according to the first abnormality location information and the second abnormality location information, and the abnormality score is output to the user equipment as an evaluation result.

[0094] In some embodiments, the method of selecting the ground terminal and the satellite terminal includes: Determine whether the local processing capability of the ground terminal meets the local processing conditions. If so, use the ground terminal to obtain the model score. Otherwise, determine whether the remote processing capability of the satellite terminal meets the remote processing conditions. If so, use the satellite terminal to obtain the model score. Otherwise, output a prompt message to the user device.

[0095] In some embodiments, the remote processing capability determination process includes: Obtain corresponding queue waiting times according to respective queue processing capacities of the plurality of satellites, and select a plurality of satellites whose queue waiting times are lower than a preset waiting time as candidate satellites; Acquire signal-to-noise ratios with multiple candidate satellites, and use the candidate satellite corresponding to the maximum signal-to-noise ratio as a satellite terminal; Calculating the load and the computing capacity of the satellite terminal based on the score of the first image data, or calculating the load and the computing capacity of the satellite terminal based on the analysis of the first point cloud data and the corresponding first image data, and obtaining a task processing prediction time of the satellite terminal; Based on the upload and download delay data between the satellite terminal, the task processing prediction time and the queue waiting time, it is judged whether the corresponding task completion target time is met. If it is met, it is considered that the remote processing capability meets the remote processing conditions.

[0096] Example 3 This embodiment provides an electronic device, and its specific embodiments and technical effects are consistent with the embodiments described in the above embodiment 1, and some contents are not repeated here.

[0097] The electronic device includes a memory and at least one processor, the memory stores a computer program, and the at least one processor is configured to implement the method as described in any one of the method embodiments when executing the computer program.

[0098] Example 4 This embodiment provides a computer-readable storage medium. The specific embodiments and technical effects achieved by the embodiments described in Example 1 above are consistent, and some details are omitted for clarity. The computer-readable storage medium stores a computer program that, when executed by at least one processor, implements the steps of any of the methods described above.

[0099] It should be noted that, in the embodiments of the present application, "at least one" refers to one or more, and "more" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: the existence of A alone, the existence of A and B at the same time, and the existence of B alone, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can represent: a, b, c, a and b, a and c, b and c or a and b and c, where a, b and c can be single or multiple. It is worth noting that "at least one" can also be interpreted as "one or more items".

[0100] The terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are configured to distinguish similar objects and are not necessarily configured to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0101] This application is explained from the perspectives of purpose of use, effectiveness, progress and novelty, and has complied with the functional enhancement and use requirements emphasized by the Patent Law. The above description and drawings of this application are only preferred embodiments of this application and are not intended to limit this application. Therefore, all structures, devices, features, etc. that are similar or identical to those of this application, that is, all equivalent replacements or modifications made in accordance with the scope of the patent application of this application, should fall within the scope of protection of the patent application of this application.

Claims

1. A water-stopping construction control method for floodgate reinforcement engineering, characterized in that: Applied to an information collection terminal, the method includes: Acquire multiple scanning areas of the target floodgate based on geometric modeling information; After the construction phase corresponding to the scanned area is completed, the first image data corresponding thereto is acquired using a visual acquisition device; A laser scanning device is used to obtain first point cloud data of the scanning area; an analysis is performed based on the first point cloud data and the corresponding first image data, and an evaluation result is output to a user device.

2. The water-stopping construction control method according to claim 1, characterized in that: The method of obtaining first point cloud data of a scanning area by using a laser scanning device includes: Acquire a sensor information set for each construction area corresponding to the construction plan, and associate it with the scan area based on the geometric modeling information; determine whether the associated scan area meets the point cloud acquisition conditions based on the sensor information set; When the scanning area meets the point cloud acquisition conditions, it is used as the target scanning area, and its corresponding three-dimensional point cloud data is obtained as the first point cloud data.

3. The water-stopping construction control method according to claim 2, characterized in that: The sensor information set includes first sensor information corresponding to the construction area and second sensor information of the previous construction stage obtained according to the regional correspondence between the various construction stages, wherein the second sensor information includes sensor data of multiple areas; When the scanning area meets the point cloud acquisition conditions, it is used as the target scanning area, including: Acquire a target acquisition mode of a scanning area according to the second sensing information, wherein the target acquisition mode includes a first acquisition mode and a second acquisition mode; For the scanning area of the first acquisition mode, corresponding image information is acquired based on the geometric modeling information and the first image data, and the image information is pushed to the user device, and the construction control score sent by the user device is received; For the scanning area of the second acquisition mode, using a ground terminal or a satellite terminal, the first image data is input into a trained construction control scoring model to obtain a model score as the construction control score; When the construction control score meets the scoring requirements, the scanning area is considered to meet the point cloud acquisition conditions and is used as the target scanning area.

4. The water-stopping construction control method according to claim 3 is characterized in that: The analyzing the first point cloud data and the corresponding first image data and outputting the evaluation result to the user device includes: Acquire multiple intermediate abnormal coordinates within the area according to the first point cloud data and use them as first abnormal position information; Acquire multiple intermediate abnormality coordinates within the area according to the first image data and use them as second abnormality position information; An abnormality score is acquired by using a ground terminal or a satellite terminal according to the first abnormality location information and the second abnormality location information, and the abnormality score is output to the user equipment as an evaluation result.

5. The water-stopping construction control method according to claim 4 is characterized in that: The options for ground terminals and satellite terminals include: Determine whether the local processing capability of the ground terminal meets the local processing conditions. If so, use the ground terminal to obtain the model score. Otherwise, determine whether the remote processing capability of the satellite terminal meets the remote processing conditions. If so, use the satellite terminal to obtain the model score. Otherwise, output a prompt message to the user device.

6. The water-stopping construction control method according to claim 5 is characterized in that: The remote processing capability determination process includes: obtaining corresponding queue waiting times according to respective queue processing capacities of the plurality of satellites, and selecting a plurality of satellites whose queue waiting times are lower than a preset waiting time as candidate satellites; Acquire signal-to-noise ratios with multiple candidate satellites, and use the candidate satellite corresponding to the maximum signal-to-noise ratio as a satellite terminal; Calculating the load and the computing capacity of the satellite terminal based on the score of the first image data, or calculating the load and the computing capacity of the satellite terminal based on the analysis of the first point cloud data and the corresponding first image data, and obtaining a task processing prediction time of the satellite terminal; Based on the upload and download delay data between the satellite terminal, the task processing prediction time and the queue waiting time, it is judged whether the corresponding task completion target time is met. If it is met, it is considered that the remote processing capability meets the remote processing conditions.

7. The water-stopping construction control method according to claim 2, characterized in that: Before acquiring the plurality of scanning areas, the method further includes: The geometric modeling information and construction plan set of the target floodgate are obtained, wherein the construction plan set includes a construction plan generated according to the water-stopping construction indicators of each construction stage; the sluice reinforcement and water-stopping construction is performed according to the multi-stage construction plan, and the regional correspondence between each construction stage is obtained based on the geometric modeling information and construction constraints.

8. A water-stop construction control system, characterized in that: It includes an information collection terminal, a visual collection device and a laser scanning device; the information collection terminal is configured to: Acquire multiple scanning areas of the target floodgate based on geometric modeling information; After the construction phase corresponding to the scanned area is completed, the first image data corresponding thereto is acquired using a visual acquisition device; Acquire first point cloud data of the scanning area using a laser scanning device; An analysis is performed based on the first point cloud data and the corresponding first image data, and an evaluation result is output to a user device.

9. An electronic device, characterized in that: The electronic device includes a memory and at least one processor, the memory stores a computer program, and the processor is configured to execute the computer program so that the electronic device can implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by at least one processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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