BIM-based building construction management method and system

Abstract

The invention discloses a BIM-based building construction management method and system, and relates to the technical field of data processing, and the method comprises the steps: extracting building layout information of a target region; interacting the BIM settlement model of the target area to obtain a plurality of area settlement monitoring point sets; carrying out edge transition analysis to obtain a plurality of neighbor settlement monitoring point sets; generating a plurality of neighbor settlement monitoring data sets and a plurality of area settlement monitoring data sets; settlement abnormity analysis is carried out, and a plurality of abnormal settlement areas are determined; calling a video monitoring unit arranged in the target area based on the plurality of abnormal settlement areas to obtain a plurality of abnormal video groups; and determining a plurality of abnormal features, and performing construction management on the target area according to the plurality of abnormal features. The technical problem of low construction management accuracy caused by rough area settlement analysis during building construction management in the prior art is solved, and the technical effect of improving the building construction management accuracy is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a building construction management method and system based on BIM. Background Art

[0002] Currently, foundation settlement data is primarily processed in batches, often with delays and errors, failing to accurately reflect settlement conditions within different construction areas. This inaccurate analysis prevents prompt action on abnormal areas, which can lead to structural cracks. This increases repair costs and delays construction schedules. Existing technologies suffer from a relatively crude regional settlement analysis during construction management, resulting in low accuracy in construction management. Summary of the Invention

[0003] This application provides a BIM-based construction management method and system, which is used to solve the technical problem in the existing technology that the regional settlement analysis during construction management is relatively rough, resulting in low construction management accuracy.

[0004] In view of the above problems, this application provides a BIM-based construction management method and system.

[0005] In a first aspect of the present application, a BIM-based construction management method is provided, the method comprising: Extracting building layout information of a target area, wherein the building layout information includes a plurality of building layout coordinates and a plurality of building construction layout areas; Interacting with a BIM settlement model of the target area, searching an array of settlement monitoring points within the BIM settlement model using the multiple building construction layout areas to obtain multiple regional settlement monitoring point sets, wherein the BIM settlement model is a building information model obtained by integrating settlement monitoring data of the target area obtained by settlement monitoring sensors with geological data; performing edge transition analysis on the multiple building construction layout areas in combination with the multiple building layout coordinates to determine multiple neighboring construction areas, and matching the multiple neighboring construction areas with settlement monitoring points of the BIM settlement model to obtain multiple neighboring settlement monitoring point sets; Extracting monitoring data of the plurality of neighboring settlement monitoring point sets and the plurality of regional settlement monitoring point sets in a preset continuous monitoring window to generate a plurality of neighboring settlement monitoring data sets and a plurality of regional settlement monitoring data sets; performing settlement anomaly analysis on the plurality of neighboring settlement monitoring data sets and the plurality of regional settlement monitoring data sets respectively, and determining a plurality of abnormal settlement areas; Based on the multiple abnormal subsidence areas, a video monitoring unit deployed in the target area is called to obtain multiple abnormal video groups; Video analysis is performed on the multiple abnormal video groups to determine multiple abnormal features, and construction management is performed on the target area based on the multiple abnormal features.

[0006] A second aspect of the present application provides a BIM-based construction management system, the system comprising: A layout information extraction module is used to extract building layout information of a target area, wherein the building layout information includes a plurality of building layout coordinates and a plurality of building construction layout areas; a regional settlement monitoring point set acquisition module, configured to interact with a BIM settlement model of the target area, retrieve the settlement monitoring point array within the BIM settlement model using the multiple building construction layout areas, and obtain multiple regional settlement monitoring point sets, wherein the BIM settlement model is a building information model obtained by integrating settlement monitoring data of the target area obtained by settlement monitoring sensors with geological data; a neighboring settlement monitoring point acquisition module, configured to perform edge transition analysis on the multiple building construction layout areas in combination with the multiple building layout coordinates, determine multiple neighboring construction areas, and match the multiple neighboring construction areas with the settlement monitoring points of the BIM settlement model to obtain multiple neighboring settlement monitoring point sets; A monitoring data extraction module is used to extract the monitoring data of the multiple neighboring settlement monitoring point sets and the multiple regional settlement monitoring point sets in a preset continuous monitoring window to generate multiple neighboring settlement monitoring data sets and multiple regional settlement monitoring data sets; an abnormal settlement area determination module, configured to perform settlement anomaly analysis on the plurality of neighboring settlement monitoring data sets and the plurality of regional settlement monitoring data sets, respectively, to determine a plurality of abnormal settlement areas; An abnormal video group obtaining module is used to call the video monitoring units deployed in the target area based on the multiple abnormal settlement areas to obtain multiple abnormal video groups; The construction management module is used to perform video analysis on the multiple abnormal video groups, determine multiple abnormal features, and perform construction management on the target area according to the multiple abnormal features.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages: This application extracts the building layout information of the target area, wherein the building layout information includes multiple building layout coordinates and multiple building construction layout areas, and then interacts with the BIM settlement model of the target area, and uses multiple building construction layout areas to search the settlement monitoring point array in the BIM settlement model to obtain multiple regional settlement monitoring point sets, wherein the BIM settlement model is a building information model obtained by integrating the settlement monitoring data of the target area by the settlement monitoring sensor with the geological data, and then combines multiple building layout coordinates to perform edge transition analysis on multiple building construction layout areas, determine multiple neighboring construction areas, and integrate multiple neighboring construction areas with the BIM settlement model The settlement monitoring points are matched to obtain multiple sets of neighboring settlement monitoring points. The monitoring data of multiple sets of neighboring settlement monitoring points and multiple sets of regional settlement monitoring points are extracted in the preset continuous monitoring window to generate multiple sets of neighboring settlement monitoring data and multiple sets of regional settlement monitoring data. Then, settlement anomaly analysis is performed on the multiple sets of neighboring settlement monitoring data and the multiple sets of regional settlement monitoring data respectively to determine multiple abnormal settlement areas. Based on the multiple abnormal settlement areas, the video monitoring units deployed in the target area are called to obtain multiple abnormal video groups. Then, video analysis is performed on the multiple abnormal video groups to determine multiple abnormal features. Construction management of the target area is carried out based on the multiple abnormal features. The technical effect of improving the accuracy of settlement analysis and the precision of construction management by subdividing the area is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0009] Figure 1 A flowchart of a BIM-based construction management method provided in an embodiment of the present application; Figure 2 A schematic diagram of the BIM-based construction management system structure provided in an embodiment of the present application.

[0010] Explanation of the accompanying drawings: layout information extraction module 11, regional settlement monitoring point set acquisition module 12, neighboring settlement monitoring point acquisition module 13, monitoring data extraction module 14, abnormal settlement area determination module 15, abnormal video group acquisition module 16, construction management module 17. DETAILED DESCRIPTION

[0011] This application provides a BIM-based construction management method and system to solve the technical problem in the existing technology that the regional settlement analysis during construction management is relatively rough, resulting in low construction management accuracy.

[0012] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0013] It should be noted that the terms "including" and "having" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server 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 modules that are not clearly listed or are inherent to these processes, methods, products or devices.

[0014] Example 1 like Figure 1 As shown, the present application provides a BIM-based construction management method, wherein the method includes: S100: extracting building layout information of a target area, wherein the building layout information includes a plurality of building layout coordinates and a plurality of building construction layout areas; In one possible embodiment, the target area is any area under construction requiring construction management, such as an industrial park, business district, office building, or residential building. The building layout information includes multiple building layout coordinates and multiple construction layout areas. The building layout information describes the buildings planned for construction within the target area. The multiple building layout coordinates describe the locations of the buildings distributed within the target area. The multiple construction layout areas are the areas covered by the completed construction of the multiple buildings.

[0015] Different buildings have different impacts on land subsidence in the area after completion. By obtaining the building layout information, the distribution of buildings in the target area is mastered, achieving the technical effect of providing basic analysis data for subsequent refined subsidence analysis.

[0016] S200: Interacting with a BIM settlement model of the target area, searching an array of settlement monitoring points within the BIM settlement model using the multiple building construction layout areas to obtain multiple regional settlement monitoring point sets, wherein the BIM settlement model is a building information model obtained by integrating settlement monitoring data of the target area obtained by settlement monitoring sensors with geological data; Furthermore, step S200 in the embodiment of the present application further includes: Obtaining basic area information of the target area, and arranging settlement monitoring points according to the area size in the basic area information to obtain a settlement monitoring point array; Collecting monitoring data of the settlement monitoring point array at a first moment to obtain first settlement monitoring data, wherein the first moment is a time point when construction of the target area begins; The geological data of the target area is called, and the geological data is integrated with the first settlement monitoring data and input into the BIM platform to generate the BIM settlement model.

[0017] In one possible embodiment, the BIM settlement model is a building information model (BIM) obtained by integrating settlement monitoring data from settlement monitoring sensors on the target area with geological data. This BIM settlement model enables a three-dimensional simulation of the impact of land settlement within the target area after construction begins. Settlement monitoring sensors are installed around buildings and on their foundations to monitor foundation and structure settlement in real time. Commonly used sensors include GPS, inclinometers, and laser rangefinders.

[0018] Optionally, after obtaining the multiple construction layout areas, different numbers of settlement monitoring points are distributed in different areas based on the area size of the areas. Therefore, the settlement monitoring point array distributed in the BIM settlement model is searched using the multiple construction layout areas to obtain the multiple regional settlement monitoring point sets. The multiple regional settlement monitoring point sets are used to describe the settlement monitoring point conditions distributed within the multiple construction layout areas.

[0019] By obtaining the plurality of regional settlement monitoring point sets, a foundation is laid for subsequent reliable analysis of land settlement conditions in a plurality of construction layout areas.

[0020] In one possible embodiment, the basic area information is used to describe the area and distribution of the target area. Based on the basic area information of the target area, the area size is determined. The area size is taken into account within the monitoring range of the selected settlement monitoring sensor to obtain the number of settlement monitoring points to be deployed. Based on the number of deployed points, settlement monitoring points are evenly spaced within the target area to generate the settlement monitoring point array.

[0021] By obtaining the array of settlement monitoring points, the entire target area is covered, ensuring the comprehensiveness and representativeness of the monitoring data.

[0022] Monitoring data from the array of settlement monitoring points is collected at a first moment to obtain first settlement monitoring data. The first moment is the time when construction begins in the target area. By obtaining the first settlement monitoring data, the initial settlement state of the target area before construction begins is determined and can be used as baseline data.

[0023] The geological data, including soil type, groundwater level, geological structure, and rock layer distribution, is retrieved from the geological survey report for the target area. The geological data and the first settlement monitoring data are integrated into the same coordinate system to form a new dataset. This new dataset is input into the BIM platform (a comprehensive model that includes building information, geological information, and settlement monitoring information) to generate the BIM settlement model.

[0024] S300: performing edge transition analysis on the multiple building construction layout areas in combination with the multiple building layout coordinates to determine multiple neighboring construction areas, and matching the multiple neighboring construction areas with settlement monitoring points of the BIM settlement model to obtain multiple neighboring settlement monitoring point sets; Furthermore, step S300 in the embodiment of the present application further includes: Extracting a first building construction layout area from the plurality of building construction layout areas, and determining a first area neighborhood set in combination with the plurality of building layout coordinates; Respectively counting the minimum values ​​from the edges of multiple building construction layout areas in the first area neighborhood set to the edge of the first building construction layout area, and connecting the edge points corresponding to the multiple minimum values ​​to obtain multiple edge connection lines; A closed area formed by the multiple edge connection lines and the edges of the multiple construction layout areas of the first area neighborhood set is used as a first neighboring construction area; An edge transition analysis is performed on the multiple building construction layout areas in combination with the multiple building layout coordinates to determine multiple neighboring construction areas.

[0025] In a possible embodiment, an edge transition analysis is performed on the building construction layout areas based on the distribution positions of the multiple building construction layout areas reflected by the multiple building layout coordinates to determine the areas where adjacent building construction layout areas influence each other during construction, that is, the multiple neighboring construction areas.

[0026] During the construction process, when a building is under construction, it will affect the land settlement of the surrounding areas. Therefore, it is necessary to determine the areas affected by multiple buildings to provide a basis for subsequent differentiated settlement anomaly analysis.

[0027] After obtaining the multiple neighboring construction areas, the multiple neighboring construction areas are matched with the settlement monitoring points of the BIM settlement model according to the ranges covered by the multiple neighboring construction areas to obtain multiple neighboring settlement monitoring point sets.

[0028] Optionally, extract the first building construction layout area from the multiple building construction layout areas, combine the multiple building layout coordinates, and add the multiple building construction layout areas adjacent to the first building construction layout area into the first area neighborhood set. Then, count the minimum values ​​from the edges of the multiple building construction layout areas in the first area neighborhood set to the edge of the first building construction layout area, and connect the edge points corresponding to the multiple minimum values ​​to obtain multiple edge connection lines. The enclosed area formed by the multiple edge connection lines and the edges of the multiple building construction layout areas in the first area neighborhood set is used as the first neighboring construction area. The first neighboring construction area is affected by the construction of the first building construction layout area and the multiple building construction layout areas in the first area neighborhood set.

[0029] Furthermore, based on the same principle of obtaining the first neighboring construction area, edge transition analysis is performed on the multiple building construction layout areas in combination with the multiple building layout coordinates, thereby determining multiple neighboring construction areas.

[0030] S400: extracting monitoring data of the plurality of neighboring settlement monitoring point sets and the plurality of regional settlement monitoring point sets in a preset continuous monitoring window to generate a plurality of neighboring settlement monitoring data sets and a plurality of regional settlement monitoring data sets; S500: performing settlement anomaly analysis on the plurality of neighboring settlement monitoring data sets and the plurality of regional settlement monitoring data sets respectively, and determining a plurality of abnormal settlement areas; In one possible embodiment, the preset continuous monitoring window is a time period constructed with the first moment as the starting point and the preset continuous monitoring duration as the duration. Within the preset continuous monitoring window, monitoring data from the multiple neighboring settlement monitoring point sets and the multiple regional settlement monitoring point sets are extracted to obtain multiple neighboring settlement monitoring data sets and multiple regional settlement monitoring data sets that describe the settlement conditions of the multiple neighboring construction areas and the multiple building construction layout areas.

[0031] Based on the multiple sets of neighborhood settlement monitoring data and the multiple sets of regional settlement monitoring data, settlement anomaly analysis is performed to identify multiple areas of abnormal settlement that do not conform to expected settlement conditions. The settlement anomaly analysis provides a basis for subsequent accurate construction management.

[0032] Furthermore, step S500 in the embodiment of the present application further includes: Extracting multiple construction plans for the multiple building construction layout areas within the preset continuous monitoring window; Performing settlement prediction on the BIM settlement model according to the multiple construction plans to determine a BIM predicted settlement model; Extracting multiple neighboring settlement prediction data sets and multiple regional settlement prediction data sets from the BIM settlement prediction model, performing data difference calculation on the multiple neighboring settlement monitoring data sets and the multiple regional settlement monitoring data sets, and obtaining multiple neighboring data difference sets and multiple regional data difference sets according to the calculation results; Subsidence anomaly analysis is performed on the multiple neighboring data difference sets and the multiple regional data difference sets respectively to determine the multiple abnormal subsidence areas.

[0033] Furthermore, step S500 in the embodiment of the present application further includes: Extracting a first neighbor data difference set from the plurality of neighbor data difference sets; Calculating the mode of the first nearest neighbor data difference set and using it as the first analysis starting point; Determining a first analysis step length according to a difference between a maximum value and a minimum value in the first nearest neighbor data difference value set; Expanding the first analysis starting point according to a first analysis step length to obtain a first expansion interval, wherein a left endpoint of the first expansion interval is the first analysis starting point minus the first analysis step length, a right endpoint of the first expansion interval is the first analysis starting point plus the first analysis step length, and the first expansion interval includes a first expansion density; Performing expansion iteration based on the first expansion interval until a preset stop condition is met, thereby obtaining a first target expansion interval; Calculating the mean of a plurality of first neighbor data differences in the first target expansion interval to generate a first target neighbor data difference; When the first target neighbor data difference is greater than or equal to a preset abnormal difference, the neighbor construction area corresponding to the first neighbor data difference set is added to the multiple abnormal settlement areas; The plurality of neighboring settlement monitoring data sets and the plurality of regional settlement monitoring data sets are traversed to perform settlement anomaly analysis and determine the plurality of abnormal settlement areas.

[0034] Furthermore, step S500 in the embodiment of the present application further includes: Expanding the first expansion interval according to the first analysis step length to obtain a second expansion interval, wherein the second expansion interval includes a second expansion density; determining whether a difference between the first expansion density and the second expansion density satisfies a preset stop condition, and if not, updating the second expansion interval to a stage expansion interval; The stage expansion interval is expanded iteratively until a preset stop condition is met, and the Nth expansion interval obtained in the last iteration is used as the first target expansion interval.

[0035] Furthermore, the preset stopping condition is that the difference in density between two adjacent expanded intervals is less than a preset difference threshold.

[0036] In one possible embodiment, multiple construction plans for the multiple construction layout areas within the preset continuous monitoring window are extracted, wherein the multiple construction plans include construction progress, construction goals, and material stacking conditions that need to be completed in the multiple construction layout areas within the preset continuous monitoring window.

[0037] The prediction network layer is used to identify the multiple construction plans and the BIM settlement models to determine the BIM prediction settlement model. Optionally, multiple sample construction plans and multiple sample BIM settlement models, as well as multiple sample BIM prediction settlement models, are obtained as training data, and supervised training is performed on the network layer constructed based on the convolutional neural network until the model output reaches convergence, thereby obtaining the trained prediction network layer.

[0038] Optionally, based on the ranges covered by the multiple neighboring construction areas and the multiple building construction layout areas, multiple neighboring settlement prediction data sets and multiple regional settlement prediction data sets are extracted from the BIM predicted settlement model. A one-to-one difference calculation is performed on the multiple neighboring settlement prediction data sets and the multiple neighboring settlement monitoring data sets to obtain multiple neighboring data difference sets. The multiple neighboring data difference sets reflect the degree of difference between the actual settlement and the predicted settlement of the multiple neighboring construction areas.

[0039] Optionally, data difference calculation is performed on the multiple regional settlement prediction data sets and the multiple regional settlement monitoring data sets, and multiple regional data difference sets are obtained based on the calculation results. The multiple regional data difference sets reflect the degree of difference between the actual settlement and the predicted settlement of the multiple regional data difference sets.

[0040] Optionally, a first nearest neighbor data difference set is extracted from the multiple nearest neighbor data difference sets. The mode of the first nearest neighbor data difference set is calculated and used as a first analysis starting point. Furthermore, the difference between the maximum and minimum values ​​in the first nearest neighbor data difference set is calculated, and one-twentieth of the difference is used as a first analysis step size. The first analysis step size is the value of a single expansion in the first nearest neighbor data difference set.

[0041] Optionally, the first analysis starting point is extended according to a first analysis step length to obtain a first extended interval, where the left endpoint of the first extended interval is the first analysis starting point minus the first analysis step length, and the right endpoint of the first extended interval is the first analysis starting point plus the first analysis step length. The first extended interval includes a first extended density. The first nearest neighbor data difference within the first extended interval is counted, the result is divided by the length of the first extended interval, and the calculated result is used as the first extended density.

[0042] Iterative expansion is performed based on the first expansion interval until a preset stopping condition is satisfied, thereby obtaining a first target expansion interval. The preset stopping condition is that the density difference between two adjacent expansion intervals is less than a preset difference threshold. The first target expansion interval is the interval with the most dense data distribution in the first nearest neighbor data difference set.

[0043] Optionally, a mean calculation is performed on multiple first neighbor data differences within the first target expansion interval to generate a first target neighbor data difference. When the first target neighbor data difference is greater than or equal to a preset abnormal difference (a minimum difference value preset by a person skilled in the art when abnormal settlement occurs), the neighboring construction area corresponding to the first neighbor data difference set is added to the multiple abnormal settlement areas. Based on the same analysis principle as the first neighbor data difference, the multiple neighbor settlement monitoring data sets and multiple regional settlement monitoring data sets are traversed to perform settlement anomaly analysis, and the abnormal areas are added to the multiple abnormal settlement areas.

[0044] In a possible embodiment, the first expansion interval is expanded according to the first analysis step length to obtain a second expansion interval, wherein the second expansion interval includes a second expansion density, wherein the second expansion density reflects the density of data distribution within the second expansion interval.

[0045] A determination is made as to whether the difference between the first expansion density and the second expansion density satisfies a preset stopping condition. If not, the second expansion interval is updated to a stage expansion interval. Further expansion iterations are performed based on the stage expansion interval until the preset stopping condition is satisfied. The Nth expansion interval obtained in the last iteration is then used as the first target expansion interval.

[0046] S600: Based on the multiple abnormal subsidence areas, a video monitoring unit deployed in the target area is called to obtain multiple abnormal video groups; S700: Perform video analysis on the multiple abnormal video groups, determine multiple abnormal features, and perform construction management on the target area according to the multiple abnormal features.

[0047] In one possible embodiment, based on the locations of the multiple abnormal subsidence areas, data stored in video monitoring units deployed within the target area is extracted to obtain video collections of the multiple abnormal subsidence areas, thereby generating the multiple abnormal video groups. The multiple abnormal video groups provide a visual display of the construction process of the multiple abnormal subsidence areas. The video monitoring units are multiple cameras covering the target area.

[0048] Because each abnormal video group includes multiple video frames, to improve analysis efficiency, a video group analysis unit analyzes these multiple abnormal video groups, extracting abnormal features from the videos and obtaining multiple abnormal characteristics (such as cracks, large construction machinery entering the site, and excessive debris accumulation). These abnormal features are then transmitted to staff, allowing construction management to be conducted on the multiple abnormal settlement areas within the target area, achieving the technical effect of improving the quality and efficiency of refined construction management.

[0049] Optionally, video parsing techniques (such as image processing and machine learning algorithms) can be used to automatically extract abnormal features from videos. For example, ground subsidence, crack expansion, or equipment displacement in a specific area can be identified. Exemplarily, a video group parsing unit can be used to parse multiple abnormal video groups separately. By obtaining multiple sample video groups and multiple sample abnormal features as construction data, a framework based on a convolutional neural network is trained through supervised training. During training, the mapping relationship between video groups and abnormal features is learned until the model output converges, resulting in a fully trained video group parsing unit.

[0050] Then, specific construction management measures are formulated based on the analyzed abnormal characteristics, such as strengthening foundation reinforcement, adjusting the location and operation methods of construction equipment, and adding support structures.

[0051] In summary, the embodiments of the present application have at least the following technical effects: The present application extracts the building layout information of the target area, and then interacts with the BIM settlement model of the target area, retrieves the settlement monitoring point array in the BIM settlement model with multiple building construction layout areas, obtains multiple regional settlement monitoring point sets, and then combines multiple building layout coordinates to perform edge transition analysis on the multiple building construction layout areas, determines multiple neighboring construction areas, and achieves the goal of subdividing the area. The multiple neighboring construction areas are matched with the settlement monitoring points of the BIM settlement model to obtain multiple neighboring settlement monitoring point sets, generate multiple neighboring settlement monitoring data sets and multiple regional settlement monitoring data sets, and then perform settlement anomaly analysis on the multiple neighboring settlement monitoring data sets and the multiple regional settlement monitoring data sets respectively, and determine multiple abnormal settlement areas, thereby achieving the goal of in-depth analysis of the data, determining abnormal settlement areas, and improving targeted management. Based on the multiple abnormal settlement areas, the video monitoring units deployed in the target area are called to obtain multiple abnormal video groups, and then the multiple abnormal video groups are analyzed to determine multiple abnormal features, and construction management of the target area is carried out according to the multiple abnormal features. The technical effect of improving the accuracy of settlement analysis and the precision of construction management by subdividing the area has been achieved.

[0052] Example 2 Based on the same inventive concept as the BIM-based construction management method in the aforementioned embodiment, Figure 2 As shown, this application provides a BIM-based construction management system. The system and method embodiments in this application are based on the same inventive concept. The system includes: A layout information extraction module 11 is used to extract building layout information of a target area, wherein the building layout information includes a plurality of building layout coordinates and a plurality of building construction layout areas; a regional settlement monitoring point set acquisition module 12, configured to interact with a BIM settlement model of the target area, retrieve the settlement monitoring point array within the BIM settlement model using the multiple building construction layout areas, and obtain multiple regional settlement monitoring point sets, wherein the BIM settlement model is a building information model obtained by integrating settlement monitoring data of the target area obtained by settlement monitoring sensors with geological data; A neighboring settlement monitoring point acquisition module 13 is configured to perform edge transition analysis on the multiple building construction layout areas in combination with the multiple building layout coordinates, determine multiple neighboring construction areas, and match the multiple neighboring construction areas with the settlement monitoring points of the BIM settlement model to obtain multiple neighboring settlement monitoring point sets; A monitoring data extraction module 14 is configured to extract monitoring data of the plurality of neighboring settlement monitoring point sets and the plurality of regional settlement monitoring point sets in a preset continuous monitoring window, and generate a plurality of neighboring settlement monitoring data sets and a plurality of regional settlement monitoring data sets; The abnormal settlement area determination module 15 is used to perform settlement anomaly analysis on the multiple neighboring settlement monitoring data sets and the multiple regional settlement monitoring data sets respectively to determine multiple abnormal settlement areas; An abnormal video group obtaining module 16 is configured to call video monitoring units deployed in the target area based on the multiple abnormal settlement areas to obtain multiple abnormal video groups; The construction management module 17 is configured to perform video analysis on the plurality of abnormal video groups, determine a plurality of abnormal features, and perform construction management on the target area according to the plurality of abnormal features.

[0053] Furthermore, the regional settlement monitoring point set acquisition module 12 is configured to perform the following steps: Obtaining basic area information of the target area, and arranging settlement monitoring points according to the area size in the basic area information to obtain a settlement monitoring point array; Collecting monitoring data of the settlement monitoring point array at a first moment to obtain first settlement monitoring data, wherein the first moment is a time point when construction of the target area begins; The geological data of the target area is called, and the geological data is integrated with the first settlement monitoring data and input into the BIM platform to generate the BIM settlement model.

[0054] Furthermore, the neighboring settlement monitoring point acquisition module 13 is configured to perform the following steps: Extracting a first building construction layout area from the plurality of building construction layout areas, and determining a first area neighborhood set in combination with the plurality of building layout coordinates; Respectively counting the minimum values ​​from the edges of multiple building construction layout areas in the first area neighborhood set to the edge of the first building construction layout area, and connecting the edge points corresponding to the multiple minimum values ​​to obtain multiple edge connection lines; A closed area formed by the multiple edge connection lines and the edges of the multiple construction layout areas of the first area neighborhood set is used as a first neighboring construction area; An edge transition analysis is performed on the multiple building construction layout areas in combination with the multiple building layout coordinates to determine multiple neighboring construction areas.

[0055] Furthermore, the abnormal subsidence area determination module 15 is configured to perform the following steps: Extracting multiple construction plans for the multiple building construction layout areas within the preset continuous monitoring window; Performing settlement prediction on the BIM settlement model according to the multiple construction plans to determine a BIM predicted settlement model; Extracting multiple neighboring settlement prediction data sets and multiple regional settlement prediction data sets from the BIM settlement prediction model, performing data difference calculation on the multiple neighboring settlement monitoring data sets and the multiple regional settlement monitoring data sets, and obtaining multiple neighboring data difference sets and multiple regional data difference sets according to the calculation results; Subsidence anomaly analysis is performed on the multiple neighboring data difference sets and the multiple regional data difference sets respectively to determine the multiple abnormal subsidence areas.

[0056] Furthermore, the abnormal subsidence area determination module 15 is configured to perform the following steps: Extracting a first neighbor data difference set from the plurality of neighbor data difference sets; Calculating the mode of the first nearest neighbor data difference set and using it as the first analysis starting point; Determining a first analysis step length according to a difference between a maximum value and a minimum value in the first nearest neighbor data difference value set; Expanding the first analysis starting point according to a first analysis step length to obtain a first expansion interval, wherein a left endpoint of the first expansion interval is the first analysis starting point minus the first analysis step length, a right endpoint of the first expansion interval is the first analysis starting point plus the first analysis step length, and the first expansion interval includes a first expansion density; Performing expansion iteration based on the first expansion interval until a preset stop condition is met, thereby obtaining a first target expansion interval; Calculating the mean of a plurality of first neighbor data differences in the first target expansion interval to generate a first target neighbor data difference; When the first target neighbor data difference is greater than or equal to a preset abnormal difference, the neighbor construction area corresponding to the first neighbor data difference set is added to the multiple abnormal settlement areas; The plurality of neighboring settlement monitoring data sets and the plurality of regional settlement monitoring data sets are traversed to perform settlement anomaly analysis and determine the plurality of abnormal settlement areas.

[0057] Furthermore, the abnormal subsidence area determination module 15 is configured to perform the following steps: Expanding the first expansion interval according to the first analysis step length to obtain a second expansion interval, wherein the second expansion interval includes a second expansion density; determining whether a difference between the first expansion density and the second expansion density satisfies a preset stop condition, and if not, updating the second expansion interval to a stage expansion interval; The stage expansion interval is expanded iteratively until a preset stop condition is met, and the Nth expansion interval obtained in the last iteration is used as the first target expansion interval.

[0058] Furthermore, the preset stopping condition is that the difference in density between two adjacent expanded intervals is less than a preset difference threshold.

[0059] It should be noted that the order in which the embodiments of the present application are presented is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. Furthermore, the foregoing descriptions of specific embodiments of this specification are provided. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order or sequential sequence shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0060] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application.

[0061] This specification and drawings are merely illustrative of the present application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Obviously, those skilled in the art may make various modifications and variations to this application without departing from the scope of this application. Thus, this application is intended to include such modifications and variations as fall within the scope of this application and its equivalents.

Claims

1. The construction management method based on BIM is characterized by: The method comprises: Extracting building layout information of a target area, wherein the building layout information includes a plurality of building layout coordinates and a plurality of building construction layout areas; Interacting the BIM settlement model of the target area, searching the settlement monitoring point array in the BIM settlement model with the multiple building construction layout areas, and obtaining multiple regional settlement monitoring point sets, wherein the BIM settlement model is a building information model obtained by integrating the settlement monitoring data of the target area by the settlement monitoring sensor with the geological data; Performing edge transition analysis on the multiple building construction layout areas in combination with the multiple building layout coordinates to determine multiple neighboring construction areas, and matching the multiple neighboring construction areas with the settlement monitoring points of the BIM settlement model to obtain multiple neighboring settlement monitoring point sets; Extracting monitoring data of the plurality of neighboring settlement monitoring point sets and the plurality of regional settlement monitoring point sets in a preset continuous monitoring window to generate a plurality of neighboring settlement monitoring data sets and a plurality of regional settlement monitoring data sets; Performing settlement anomaly analysis on the plurality of neighboring settlement monitoring data sets and the plurality of regional settlement monitoring data sets respectively, and determining a plurality of abnormal settlement areas; Based on the multiple abnormal settlement areas, a video monitoring unit deployed in the target area is called to obtain multiple abnormal video groups; The plurality of abnormal video groups are analyzed to determine a plurality of abnormal features, and construction management is performed on the target area according to the plurality of abnormal features.

2. The BIM-based construction management method according to claim 1, characterized in that: include: Obtaining basic area information of the target area, and arranging settlement monitoring points according to the area size in the basic area information to obtain a settlement monitoring point array; Collect monitoring data of the settlement monitoring point array at a first moment to obtain first settlement monitoring data, wherein the first moment is a time point when construction of the target area begins; The geological data of the target area is called, and the geological data is integrated with the first settlement monitoring data and input into the BIM platform to generate the BIM settlement model.

3. The BIM-based construction management method according to claim 1, characterized in that: include: Extracting a first building construction layout area from the plurality of building construction layout areas, and determining a first area neighborhood set in combination with the plurality of building layout coordinates; Respectively counting the minimum values ​​from the edges of multiple building construction layout areas in the first area neighborhood set to the edge of the first building construction layout area, and connecting the edge points corresponding to the multiple minimum values ​​to obtain multiple edge connection lines; The enclosed area formed by the multiple edge connection lines and the edges of the multiple building construction layout areas of the first area neighborhood set is used as the first neighboring construction area; An edge transition analysis is performed on the multiple building construction layout areas in combination with the multiple building layout coordinates to determine multiple neighboring construction areas.

4. The BIM-based construction management method according to claim 1, characterized in that: include: Extracting multiple construction plans for the multiple building construction layout areas within the preset continuous monitoring window; Performing settlement prediction on the BIM settlement model according to the multiple construction plans to determine a BIM predicted settlement model; Extracting a plurality of neighboring settlement prediction data sets and a plurality of regional settlement prediction data sets from the BIM settlement prediction model, performing data difference calculations in combination with the plurality of neighboring settlement monitoring data sets and the plurality of regional settlement monitoring data sets, and obtaining a plurality of neighboring data difference sets and a plurality of regional data difference sets according to the calculation results; The multiple neighbor data difference sets and the multiple regional data difference sets are respectively subjected to settlement anomaly analysis to determine the multiple abnormal settlement areas.

5. The BIM-based construction management method according to claim 4, characterized in that: include: Extracting a first neighbor data difference set from the plurality of neighbor data difference sets; Calculate the mode of the first nearest neighbor data difference set and use it as the first analysis starting point; Determining a first analysis step length according to a difference between a maximum value and a minimum value in the first neighbor data difference value set; Expanding the first analysis starting point according to a first analysis step length to obtain a first expansion interval, wherein a left endpoint of the first expansion interval is the first analysis starting point minus the first analysis step length, a right endpoint of the first expansion interval is the first analysis starting point plus the first analysis step length, and the first expansion interval includes a first expansion density; Performing expansion iteration based on the first expansion interval until a preset stop condition is met, thereby obtaining a first target expansion interval; Calculating the mean of a plurality of first neighbor data differences of the first target expansion interval to generate a first target neighbor data difference; When the first target neighbor data difference is greater than or equal to a preset abnormal difference, adding the neighbor construction area corresponding to the first neighbor data difference set into the multiple abnormal settlement areas; The plurality of neighboring settlement monitoring data sets and the plurality of regional settlement monitoring data sets are traversed to perform settlement anomaly analysis and determine the plurality of abnormal settlement areas.

6. The BIM-based construction management method according to claim 5, characterized in that: include: Expanding the first expansion interval according to the first analysis step length to obtain a second expansion interval, wherein the second expansion interval includes a second expansion density; determining whether a difference between the first expansion density and the second expansion density satisfies a preset stop condition, and if not, updating the second expansion interval to a stage expansion interval; The stage expansion interval is expanded and iterated until a preset stop condition is met, and the Nth expansion interval obtained in the last iteration is used as the first target expansion interval.

7. The BIM-based construction management method according to claim 6, characterized in that: The preset stop condition is that the difference in density between two adjacent expanded intervals is less than a preset difference threshold.

8. The BIM-based construction management system is characterized by: The system comprises: A layout information extraction module, used to extract building layout information of a target area, wherein the building layout information includes a plurality of building layout coordinates and a plurality of building construction layout areas; A regional settlement monitoring point set acquisition module is used to interact with the BIM settlement model of the target area, retrieve the settlement monitoring point array in the BIM settlement model with the multiple building construction layout areas, and obtain multiple regional settlement monitoring point sets, wherein the BIM settlement model is a building information model obtained by integrating the settlement monitoring data of the target area by the settlement monitoring sensor with the geological data; A neighboring settlement monitoring point acquisition module is used to perform edge transition analysis on the multiple building construction layout areas in combination with the multiple building layout coordinates, determine multiple neighboring construction areas, and match the multiple neighboring construction areas with the settlement monitoring points of the BIM settlement model to obtain multiple neighboring settlement monitoring point sets; A monitoring data extraction module, used to extract the monitoring data of the plurality of neighboring settlement monitoring point sets and the plurality of regional settlement monitoring point sets in a preset continuous monitoring window, and generate a plurality of neighboring settlement monitoring data sets and a plurality of regional settlement monitoring data sets; An abnormal settlement area determination module is used to perform settlement anomaly analysis on the multiple neighbor settlement monitoring data sets and the multiple regional settlement monitoring data sets respectively to determine multiple abnormal settlement areas; An abnormal video group obtaining module, used for calling the video monitoring units arranged in the target area based on the multiple abnormal settlement areas to obtain multiple abnormal video groups; The construction management module is used to perform video analysis on the multiple abnormal video groups, determine multiple abnormal features, and perform construction management on the target area according to the multiple abnormal features.

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