BIM-based construction management methods and systems

Abstract

The present invention discloses a construction management method and system based on BIM, and relates to the field of data processing technology. The method comprises: extracting building layout information of a target area; interacting with a BIM settlement model of a target area to obtain a plurality of regional settlement monitoring point sets; performing edge transition analysis to obtain a plurality of neighboring settlement monitoring point sets; generating a plurality of neighboring settlement monitoring data sets and a plurality of regional settlement monitoring data sets; performing settlement anomaly analysis to determine a plurality of abnormal settlement areas; calling a video monitoring unit arranged in a target area based on a plurality of abnormal settlement areas to obtain a plurality of abnormal video groups; determining a plurality of abnormal features, and performing construction management on the target area according to the plurality of abnormal features. The present invention solves the technical problem that the regional settlement analysis in the construction management in the prior art is relatively rough, resulting in a low accuracy of construction management, and achieves the technical effect of improving the accuracy of construction management.

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] At present, the measurement of foundation settlement data is mainly carried out in batches, and the results are usually delayed and inaccurate, and cannot accurately reflect the settlement conditions in different construction areas. Due to inaccurate analysis, it is impossible to quickly take countermeasures for abnormal areas, which is easy to cause structural cracks. This will increase the cost of repair and cause construction delays. The existing technology has a technical problem that the analysis of regional settlement during construction management is relatively rough, resulting in low accuracy of construction management. Summary of the invention

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

[0004] In view of the above problems, the present 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:

[0006] 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;

[0007] 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;

[0008] 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;

[0009] 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;

[0010] 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;

[0011] Based on the multiple abnormal settlement areas, a video monitoring unit deployed in the target area is called to obtain multiple abnormal video groups;

[0012] 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.

[0013] A second aspect of the present application provides a BIM-based building construction management system, the system comprising:

[0014] 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;

[0015] 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;

[0016] 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;

[0017] 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;

[0018] 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;

[0019] 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;

[0020] 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.

[0021] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0022] The present 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 retrieves the settlement monitoring point array in the BIM settlement model with 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 the settlement monitoring data of the target area with the geological data by the settlement monitoring sensor, and then performs edge transition analysis on multiple building construction layout areas in combination with multiple building layout coordinates to determine multiple neighboring construction areas, and integrates the multiple neighboring construction areas with the BIM settlement model The settlement monitoring points are matched to obtain multiple sets of neighboring settlement monitoring points, and 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 multiple sets of neighboring settlement monitoring data and multiple sets of regional settlement monitoring data, and multiple abnormal settlement areas are determined. 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 the construction management of the target area is performed 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 is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. 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.

[0024] Figure 1 A schematic diagram of a BIM-based construction management method flow chart provided in an embodiment of the present application;

[0025] Figure 2 A schematic diagram of the structure of a BIM-based building construction management system provided in an embodiment of the present application.

[0026] 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

[0027] This application provides a BIM-based construction management method and system to solve the technical problem in the prior art that the regional settlement analysis during construction management is relatively rough, resulting in low accuracy of construction management.

[0028] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0029] 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 explicitly listed, but may include other steps or modules that are not explicitly listed or inherent to these processes, methods, products or devices.

[0030] Embodiment 1

[0031] like Figure 1 As shown, the present application provides a BIM-based building construction management method, wherein the method comprises:

[0032] 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;

[0033] In a possible embodiment, the target area is any area under construction that needs to be managed for construction, which may be an industrial park, a business district, an office building, a residential building, etc. The building layout information includes a plurality of building layout coordinates and a plurality of building construction layout areas. The building layout information is used to describe the buildings planned to be constructed in the target area. The plurality of building layout coordinates are used to describe the locations of the buildings distributed in the target area. The plurality of building construction layout areas are the areas covered after the construction of the plurality of buildings is completed.

[0034] 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.

[0035] S200: Interacting with 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 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;

[0036] Furthermore, step S200 of the embodiment of the present application further includes:

[0037] 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;

[0038] 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;

[0039] 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.

[0040] In a possible embodiment, the BIM settlement model is a building information model obtained by integrating the settlement monitoring data of the target area with the geological data by the settlement monitoring sensor. The BIM settlement model can be used to perform a three-dimensional simulation of the settlement impact of the land in the target area after the construction of the building. The settlement monitoring sensor is installed around the building and on the foundation to monitor the settlement of the foundation and structure in real time. Commonly used sensors include GPS, inclinometer, laser rangefinder, etc.

[0041] Optionally, after obtaining the multiple construction layout areas, different numbers of settlement monitoring points are distributed in different areas according to the size of the area. Therefore, the settlement monitoring point array distributed in the BIM settlement model is retrieved with the multiple construction layout areas, so as 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 in the multiple construction layout areas.

[0042] 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.

[0043] In a possible embodiment, the basic area information is used to describe the area and distribution position of the target area. According to the basic area information of the target area, the area size is determined. The area size is placed in the monitoring range of the selected settlement monitoring sensor to obtain the number of settlement monitoring points. According to the number of settlement points, settlement monitoring points are arranged at equal intervals in the target area to generate the settlement monitoring point array.

[0044] By obtaining the settlement monitoring point array, the entire target area is covered, ensuring the comprehensiveness and representativeness of the monitoring data.

[0045] The monitoring data of the settlement monitoring point array is collected at a first moment to obtain first settlement monitoring data. The first moment is the time node when the construction of the target area begins. By obtaining the first settlement monitoring data, the initial settlement state of the target area before the construction begins is grasped, and this can be used as the benchmark data.

[0046] The geological data is retrieved from the geological survey report of the target area, and the geological data includes soil type, groundwater level, geological structure, rock layer distribution and other data. The geological data and the first settlement monitoring data are integrated in the same coordinate system to form a new data set. The new data set is input into the BIM platform (a comprehensive model including building information, geological information and settlement monitoring information) to generate the BIM settlement model.

[0047] S300: performing edge transition analysis on the multiple building construction layout areas in combination with the multiple building layout coordinates, determining 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;

[0048] Furthermore, step S300 of the embodiment of the present application further includes:

[0049] 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;

[0050] 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;

[0051] 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;

[0052] 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.

[0053] In a possible embodiment, according to the distribution positions of the multiple building construction layout areas reflected by the multiple building layout coordinates, an edge transition analysis is performed on the building construction layout areas to determine the areas where adjacent building construction layout areas influence each other during construction, that is, the multiple neighboring construction areas.

[0054] 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.

[0055] After the multiple neighboring construction areas are obtained, 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.

[0056] 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.

[0057] 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, so as to determine multiple neighboring construction areas.

[0058] 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, and generating a plurality of neighboring settlement monitoring data sets and a plurality of regional settlement monitoring data sets;

[0059] 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;

[0060] In a 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 time length. Within the preset continuous monitoring window, the monitoring data in the multiple neighboring settlement monitoring point sets and the multiple regional settlement monitoring point sets are extracted, so as 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.

[0061] Based on the multiple neighboring settlement monitoring data sets and the multiple regional settlement monitoring data sets, settlement anomaly analysis is performed to determine multiple abnormal settlement areas that do not conform to the expected settlement state. By performing settlement anomaly analysis, a basis is provided for subsequent accurate construction management.

[0062] Furthermore, step S500 of the embodiment of the present application further includes:

[0063] Extracting multiple construction plans for the multiple building construction layout areas within the preset continuous monitoring window;

[0064] Performing settlement prediction on the BIM settlement model according to the multiple construction plans to determine a BIM predicted settlement model;

[0065] 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;

[0066] 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.

[0067] Furthermore, step S500 of the embodiment of the present application further includes:

[0068] Extracting a first neighbor data difference set from the plurality of neighbor data difference sets;

[0069] Calculate the mode of the first nearest neighbor data difference set and use it as the first analysis starting point;

[0070] 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;

[0071] 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;

[0072] Performing expansion iteration based on the first expansion interval until a preset stop condition is met, thereby obtaining a first target expansion interval;

[0073] 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;

[0074] 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;

[0075] 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.

[0076] Furthermore, step S500 of the embodiment of the present application further includes:

[0077] 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;

[0078] 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;

[0079] 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.

[0080] Furthermore, the preset stop condition is that the difference in density between two adjacent expanded intervals is less than a preset difference threshold.

[0081] In a possible embodiment, multiple construction plans of the multiple construction layout areas within the preset continuous monitoring window are extracted, wherein the multiple construction plans are 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.

[0082] 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.

[0083] Optionally, according to 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 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 multiple neighboring construction areas.

[0084] Optionally, data difference calculation is performed on multiple regional settlement prediction data sets and the multiple regional settlement monitoring data sets, and multiple regional data difference sets are obtained according to 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.

[0085] Optionally, a first neighbor data difference set is extracted from the plurality of neighbor data difference sets. The mode of the first neighbor data difference set is calculated and used as the first analysis starting point. Further, the difference between the maximum value and the minimum value in the first neighbor data difference set is calculated, and one twentieth of the difference is used as the first analysis step length. The first analysis step length is the value size of a single expansion in the first neighbor data difference set.

[0086] Optionally, the first analysis starting point is expanded according to a first analysis step length to obtain a first expansion interval, wherein the left end point of the first expansion interval is the first analysis starting point minus the first analysis step length, the right end point 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. By counting the number of first neighbor data differences in the first expansion interval, and dividing the statistical result by the length of the first expansion interval, the calculated result is used as the first expansion density.

[0087] The expansion iteration is performed based on the first expansion interval until a preset stop condition is met to obtain a first target expansion interval. The preset stop condition is that the density difference between two adjacent expansions is less than a preset difference threshold. The first target expansion interval is the interval with the most dense data distribution in the first neighbor data difference set.

[0088] Optionally, the mean of multiple first neighbor data differences in the first target expansion interval is calculated 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 when abnormal settlement occurs, which is preset by a person skilled in the art), the neighbor 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 the multiple regional settlement monitoring data sets are traversed to perform settlement anomaly analysis, and the abnormal area is added to the multiple abnormal settlement areas.

[0089] 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 in the second expansion interval.

[0090] It is determined whether the difference between the first expansion density and the second expansion density meets a preset stop condition. If not, the second expansion interval is updated to a stage expansion interval, and then the stage expansion interval is used as a basis to perform expansion iterations until the preset stop condition is met, and the Nth expansion interval obtained in the last iteration is used as the first target expansion interval.

[0091] S600: Based on the multiple abnormal settlement areas, a video monitoring unit deployed in the target area is called to obtain multiple abnormal video groups;

[0092] 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.

[0093] In a possible embodiment, according to the locations of the multiple abnormal settlement areas, the data stored in the video monitoring units deployed in the target area are extracted to obtain a video set in the multiple abnormal settlement areas, thereby generating the multiple abnormal video groups. The multiple abnormal video groups visualize the construction process of the multiple abnormal settlement areas. The video monitoring units are multiple cameras covering the target area.

[0094] Since each abnormal video group includes multiple video frames, in order to improve the analysis efficiency, the video group analysis unit is used to analyze the multiple abnormal video groups, thereby extracting abnormal features in the video, and obtaining multiple abnormal features (cracks, large construction machinery entering the site, and debris accumulation time being too long). Then, the multiple abnormal features are sent to the staff, and construction management is carried out on the multiple abnormal settlement areas in the target area, achieving the technical effect of improving the quality of refined construction management and improving management efficiency.

[0095] Optionally, video analysis technology (such as image processing, machine learning algorithm) is used to automatically extract abnormal features in the video. For example, ground subsidence, crack expansion, equipment displacement, etc. in a certain area are identified. Exemplarily, a video group analysis unit is used to analyze multiple abnormal video groups separately. By obtaining multiple sample video groups and multiple sample abnormal features as construction data, supervised training is performed on the framework built based on the convolutional neural network. During the training, the mapping relationship between the video group and the abnormal features is learned until the model output reaches convergence, and a trained video group analysis unit is obtained.

[0096] 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.

[0097] In summary, the embodiments of the present application have at least the following technical effects:

[0098] 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 performs edge transition analysis on the multiple building construction layout areas in combination with multiple building layout coordinates to determine multiple neighboring construction areas, thereby achieving the goal of subdividing the area, and matches the multiple neighboring construction areas 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 respectively perform settlement anomaly analysis on the multiple neighboring settlement monitoring data sets and the multiple regional settlement monitoring data sets to determine multiple abnormal settlement areas, thereby achieving the goals of in-depth analysis of the data, determining abnormal settlement areas, and improving targeted management, and based on the multiple abnormal settlement areas, calling the video monitoring unit deployed in the target area to obtain multiple abnormal video groups, and then performing video analysis on the multiple abnormal video groups to determine multiple abnormal features, and performing construction management on the target area 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.

[0099] Embodiment 2

[0100] Based on the same inventive concept as the BIM-based construction management method in the aforementioned embodiment, Figure 2 As shown, the present application provides a BIM-based building construction management system, and the system and method embodiments in the present application embodiments are based on the same inventive concept. The system includes:

[0101] 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;

[0102] A regional settlement monitoring point set acquisition module 12 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;

[0103] A neighboring settlement monitoring point acquisition module 13 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;

[0104] A monitoring data extraction module 14 is 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;

[0105] The abnormal settlement area determination module 15 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;

[0106] An abnormal video group obtaining module 16 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;

[0107] The construction management module 17 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.

[0108] Furthermore, the regional settlement monitoring point set acquisition module 12 is used to perform the following steps:

[0109] 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;

[0110] 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;

[0111] 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.

[0112] Furthermore, the neighboring settlement monitoring point acquisition module 13 is used to perform the following steps:

[0113] 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;

[0114] 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;

[0115] 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;

[0116] 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.

[0117] Furthermore, the abnormal settlement area determination module 15 is used to perform the following steps:

[0118] Extracting multiple construction plans for the multiple building construction layout areas within the preset continuous monitoring window;

[0119] Performing settlement prediction on the BIM settlement model according to the multiple construction plans to determine a BIM predicted settlement model;

[0120] 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;

[0121] 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.

[0122] Furthermore, the abnormal settlement area determination module 15 is used to perform the following steps:

[0123] Extracting a first neighbor data difference set from the plurality of neighbor data difference sets;

[0124] Calculate the mode of the first nearest neighbor data difference set and use it as the first analysis starting point;

[0125] 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;

[0126] 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;

[0127] Performing expansion iteration based on the first expansion interval until a preset stop condition is met, thereby obtaining a first target expansion interval;

[0128] 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;

[0129] 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;

[0130] 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.

[0131] Furthermore, the abnormal settlement area determination module 15 is used to perform the following steps:

[0132] 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;

[0133] 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;

[0134] 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.

[0135] Furthermore, the preset stop condition is that the difference in density between two adjacent expanded intervals is less than a preset difference threshold.

[0136] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0137] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

[0138] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

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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