Whole-life-cycle information interaction water damage repair construction management method and system based on BIM (Building Information Modeling)

Abstract

The invention relates to the technical field of engineering management, and discloses a BIM-based full-life-cycle information interaction water damage repair construction management method and system, and the method comprises the steps: carrying out the first oblique photography operation of a target water damage region, and obtaining an oblique photography model and target image data of the target water damage region, processing the target image data based on a target algorithm to obtain suspected cavity positions of the target water damage area, performing second oblique photography operation on the suspected cavity positions of the target water damage area in sequence to obtain current water damage data of the suspected cavity positions, and training the current water damage data based on the target algorithm to obtain the target water damage area. And establishing a target model of each suspected cavity position, obtaining a water damage repair BIM management model based on the target models of the suspected cavity positions and the oblique photography model of the target water damage area, and managing the water damage area according to the water damage repair BIM management model. According to the invention, modeling can be carried out on a suspected cavity area and construction management can be carried out on a water damage area.

Description

A method and system for water damage repair and construction management based on BIM full life cycle information interaction Technical Field

[0001] This invention relates to the field of BIM construction technology, and in particular to a method and system for water damage repair and construction management based on BIM full life cycle information interaction. Background Technology

[0002] The damage caused by floods not only affects riverbanks and embankments, but also damages riverside roads, residential water supply and drainage systems, buildings, bridges and culverts. These post-disaster repair projects are often carried out in stages.

[0003] Post-disaster repair and construction in flood-damaged areas presents management challenges. To address this, BIM technology is typically employed. However, BIM technology struggles to manage the hollow areas within the flood-damaged zone. Therefore, a BIM-based, full-lifecycle information interaction method for flood-damaged repair and construction management is urgently needed. Summary of the Invention

[0004] The purpose of this invention is to overcome one or more of the above-mentioned existing technical problems and provide a method and system for water damage repair and construction management based on BIM full life cycle information interaction.

[0005] To achieve the above objectives, this invention provides a method for water damage repair and construction management based on BIM full life-cycle information interaction, comprising:

[0006] A first oblique photography operation is performed on the target water-damaged area to obtain an oblique photography model of the target water-damaged area and target image data, wherein the target image data includes water damage contour data, color data and material data of the target water-damaged area;

[0007] The target image data is processed based on the target algorithm to obtain the suspected cavity location of the target water-damaged area;

[0008] A second oblique photography operation was performed on the suspected cavity locations of each of the target water-damaged areas to obtain the current water damage data for each suspected cavity location;

[0009] The target algorithm is used to train the current water damage data to establish target models for each suspected cavity location;

[0010] Based on the target model of the suspected cavity location and the oblique photography model of the target water-damaged area, a water damage repair BIM management model is obtained, and the water-damaged area is managed according to the water damage repair BIM management model.

[0011] According to one aspect of the present invention, the method for obtaining the oblique photography model of the target flood-damaged area and the target image data is as follows:

[0012] Oblique photography is performed on the target flood-damaged area, and an oblique photography model of the target flood-damaged area is established by combining it with a preset vector map;

[0013] The target image data is obtained by integrating the image data obtained from the oblique photogrammetry operation.

[0014] According to one aspect of the present invention, the method for obtaining the suspected cavity location of the target flood-damaged area is as follows:

[0015] The target image data is processed using the target algorithm to filter out all suspected regions. The formula for the target algorithm is:

[0016] F ij =∑ m,n W mn *I i+m,j+n +b;

[0017] Among them, F ij It is an element of the feature map;

[0018] W mn The weights of the filter;

[0019] I i+m,j+n For a pixel of the target image data;

[0020] b is the bias term;

[0021] The obtained suspected areas are mapped onto the oblique photography model of the target flood-damaged area, and the geographic coordinate information corresponding to each suspected area is extracted in sequence to obtain the suspected cavity location of the target flood-damaged area.

[0022] According to one aspect of the present invention, the method for obtaining current water damage data for each suspected cavity location is as follows:

[0023] The target oblique imaging height corresponding to the suspected cavity location of each of the aforementioned water-damaged areas was determined sequentially;

[0024] In response to the determination of the oblique photography height of each target, a second oblique photography operation is performed on the suspected cavity locations of the corresponding water-damaged areas of the targets in sequence to obtain the current water damage data of each suspected cavity location.

[0025] According to one aspect of the present invention, the method for obtaining current water damage data for each suspected cavity location further includes:

[0026] At each target tilt photography height, a second tilt photography operation is performed on the suspected cavity location of the corresponding water-damaged area of ​​the target to obtain the current image data corresponding to each suspected cavity location;

[0027] Each of the current image data is checked to determine whether the suspected cavity location corresponding to each of the current image data is a non-cavity location;

[0028] If not, perform multiple oblique photography operations at different current oblique photography heights on the same suspected cavity location to obtain the current water damage data for each suspected cavity location.

[0029] According to one aspect of the present invention, the method for establishing target models of each suspected cavity location is as follows:

[0030] The target algorithm is used to train the current water damage data to establish the current dataset corresponding to each suspected cavity location. The current dataset includes the current material dataset, current contour data, current color data and current geographic coordinate data corresponding to each suspected cavity location.

[0031] Each current dataset is filtered sequentially, and data information corresponding to non-cavity locations is removed from multiple suspected cavity locations to obtain the target dataset;

[0032] Based on the target dataset, modeling is performed sequentially to establish target models for each of the suspected cavity locations.

[0033] According to one aspect of the present invention, the method for managing water-damaged areas based on the water damage repair BIM management model is as follows:

[0034] The target model of the suspected cavity location is implanted into the oblique photography model of the target water-damaged area to obtain the water damage repair BIM management model;

[0035] The collected watermarked image data is input into the water damage repair BIM management model, and the water-damaged area is managed according to the water damage repair BIM management model.

[0036] To achieve the above objectives, this invention provides a BIM-based full lifecycle information interaction-based flood damage repair and construction management system, comprising:

[0037] First data acquisition module: Performs the first oblique photography operation on the target water-damaged area to obtain the oblique photography model of the target water-damaged area and target image data, wherein the target image data includes water damage contour data, color data and material data of the target water-damaged area;

[0038] Location acquisition module: Processes the target image data based on the target algorithm to obtain the suspected cavity location of the target water-damaged area;

[0039] The second data acquisition module: sequentially performs a second oblique photography operation on the suspected cavity locations of each of the target water-damaged areas to obtain the current water damage data of each suspected cavity location;

[0040] Target model building module: Based on the target algorithm, train the current water damage data to build target models for each suspected cavity location;

[0041] Water damage area management module: Based on the target model of the suspected cavity location and the oblique photography model of the target water damage area, a water damage repair BIM management model is obtained, and the water damage area is managed according to the water damage repair BIM management model.

[0042] To achieve the above objectives, the present invention provides an electronic device, including a processor, a memory, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the above-mentioned method for water damage repair and construction management based on BIM full life cycle information interaction.

[0043] To achieve the above objectives, the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-described method for water damage repair and construction management based on BIM full life-cycle information interaction.

[0044] Based on this, the beneficial effects of the present invention are as follows: by performing oblique photography on the target water-damaged area, an oblique photography model and target image data of the target water-damaged area are obtained; the target image data is processed using a target algorithm to obtain the suspected cavity locations of the target water-damaged area; a second oblique photography operation is performed on each suspected cavity location in sequence to obtain the current water damage data of the suspected cavity location again; based on the current water damage data, the target algorithm is used for training to establish a target model for each suspected cavity location; the target model is implanted into the oblique photography model to form a management model; and construction management is carried out based on the management model. This enables the present invention to achieve the purpose of construction management of water-damaged areas when in use. At the same time, by determining the suspected cavity area and performing a second oblique photography operation on the suspected cavity area, and then using the target function for training to establish the target pattern of the suspected cavity area, the present invention can achieve the purpose of modeling the suspected cavity area and subsequent construction management when in use. Attached Figure Description

[0045] Figure 1 is a flowchart illustrating a water damage repair and construction management method based on BIM full life cycle information interaction according to an exemplary embodiment;

[0046] Figure 2 is a flowchart illustrating a BIM-based full life-cycle information interaction water damage repair and construction management system according to an exemplary embodiment. Detailed Implementation

[0047] The invention will now be discussed with reference to exemplary embodiments. It should be understood that the described embodiments are merely intended to enable those skilled in the art to better understand and thus implement the invention, and are not intended to imply any limitation on the scope of the invention.

[0048] As used herein, the term “comprising” and its variations are to be interpreted as open-ended terms meaning “including but not limited to”. The term “based on” is to be interpreted as “at least partially based on”, and the terms “one embodiment” and “an embodiment” are to be interpreted as “at least one embodiment”.

[0049] According to an embodiment of the present invention, FIG1 is a flowchart illustrating a BIM-based full life-cycle information interaction-based flood damage repair and construction management method according to an exemplary embodiment. As shown in FIG1, to achieve the above objective, the present invention provides a BIM-based full life-cycle information interaction-based flood damage repair and construction management method, comprising:

[0050] The first oblique photography operation was carried out on the target water-damaged area to obtain the oblique photography model of the target water-damaged area and the target image data, wherein the target image data includes the water damage contour data, color data and material data of the target water-damaged area;

[0051] According to one embodiment of the present invention, an unmanned aerial vehicle (UAV) can be used to perform oblique photography of the target flood-damaged area. Of course, the target flood-damaged area exemplified in this embodiment should refer to an area that needs flood damage repair, which can be a river channel or a construction section for flood damage repair, etc.

[0052] Based on the target algorithm, the target image data is processed to obtain the suspected cavity location in the target water-damaged area;

[0053] According to one embodiment of the present invention, when determining the location of a suspected cavity, training can be performed based on target image data or image recognition can be performed on various environmental features in the image based on the acquired target image data, and then the suspected cavity can be judged based on the recognition results.

[0054] When using environmental features for image recognition, the location of water levels, the material of geological bodies, and other factors in the target image data can be used to identify suspected cavity locations. In an exemplary embodiment, when recognizing geological bodies such as soil, sand, and mud in the target image data, it is determined that a suspected cavity location exists in that area.

[0055] A second oblique photography operation was performed on each suspected cavity location in the target water-damaged area to obtain the current water damage data for each suspected cavity location;

[0056] According to one embodiment of the present invention, when performing secondary oblique photography operations, a drone can be used to perform multiple oblique photography operations.

[0057] Based on the target algorithm, the current water damage data is trained to establish target models for each suspected cavity location;

[0058] Based on the target model of the suspected cavity location and the oblique photography model of the target water-damaged area, a water damage repair BIM management model is obtained, and the water-damaged area is managed according to the water damage repair BIM management model.

[0059] According to one embodiment of the present invention, the method for obtaining the oblique photography model and target image data of the target flood-damaged area is as follows:

[0060] Oblique photography was performed on the target flood-damaged area, and an oblique photography model of the target flood-damaged area was established by combining it with a preset vector map.

[0061] The image data obtained from the oblique photogrammetry operation are integrated to obtain the target image data.

[0062] According to one embodiment of the present invention, the method for obtaining the suspected cavity location of the target flood-damaged area is as follows:

[0063] The target image data is processed using a target algorithm to filter out all suspected regions. The formula for the target algorithm is:

[0064] F ij =∑ m,n W mn *I i+m,j+n +b;

[0065] Among them, F ij It is an element of the feature map;

[0066] W mn The weights of the filter;

[0067] I i+m,j+n For a pixel of the target image data;

[0068] b is the bias term;

[0069] The suspected areas are mapped onto the oblique photography model, and the geographic coordinate information corresponding to each suspected area is extracted in turn to obtain the suspected cavity location of the target water-damaged area.

[0070] According to one embodiment of the present invention, a convolutional neural network is used for image processing. After acquiring multi-angle images of the water-damaged area using UAV oblique photogrammetry technology to complete the image acquisition operation, image enhancement, cropping, normalization and other preprocessing operations are performed to improve the performance of the model and complete the image preprocessing. Finally, the dataset is divided into a training set, a validation set and a test set for training, validating and evaluating the model and completing the dataset division.

[0071] After completing the data preparation, the architecture of the convolutional neural network (CNN) model is constructed. The CNN should include an input layer, convolutional layers, activation functions, pooling layers, and fully connected layers. The specific model structure can be found in relevant technical implementations. This embodiment only demonstrates its application and will not elaborate further. More specifically, the dimensions of the input image are typically (height, width, number of channels). For example, for an RGB image, the number of channels is 3. The convolutional layer uses a set of learnable filters to extract image features. Each filter slides across the input image and performs convolution operations with local regions, generating a feature map. Its mathematical expression uses the target algorithm from the previous embodiment. After the convolution operation, a non-linear activation function, such as ReLU (Rectified Linear Unit), is typically applied. The ReLU function is defined as:

[0072] f(x) = max(0,x);

[0073] Pooling layers are used to reduce spatial dimensionality and computational cost while preserving the most important feature information. Common pooling operations include max pooling and average pooling. For example, max pooling can be represented as:

[0074] P ij =max m,n (F i+m,j+n );

[0075] Following the convolutional layers, there are usually fully connected layers that flatten the feature maps into one-dimensional vectors and perform classification or regression predictions. The mathematical form of a fully connected layer is:

[0076] y = σ(Wx + b);

[0077] Where W is the weight matrix, b is the bias vector, and σ is the activation function;

[0078] For classification tasks, the commonly used loss function is cross-entropy loss. For regression tasks, mean squared error (MSE) can be used as the loss function. The cross-entropy loss function is defined as follows:

[0079]

[0080] Among them, y i It's a real label. This involves predicting probabilities. The optimizer uses gradient descent or its variants (such as Adam, SGD, etc.) to minimize the loss function, thereby updating the network's weights and biases. In this embodiment, the Adam optimizer is preferably used for optimization. The Adam optimizer update rule is as follows:

[0081] m t =β1m t-1 +(1-β1)gt;

[0082] v t =β2v t-1 +(1-β2)g 2 t;

[0083]

[0084] Where α is the learning rate, β1 and β2 are the decay rates, gt is the gradient, and ∈ is a small constant to avoid division by zero error. The model is trained using the training set, the hyperparameters are adjusted using the validation set, the model's performance on the test set is evaluated, and metrics such as accuracy, recall, and F1 score are used. The trained model is then applied to new image data to detect suspected cavity locations.

[0085] According to one embodiment of the present invention, the method for obtaining current water damage data for each suspected cavity location is as follows:

[0086] The target tilt photography height corresponding to each suspected cavity location was determined sequentially;

[0087] In response to the determination of the oblique photography height of each target, a second oblique photography operation is performed on the corresponding suspected cavity locations to obtain the current water damage data of each suspected cavity location.

[0088] According to one embodiment of the present invention, the method for obtaining current water damage data for each suspected cavity location further includes:

[0089] At each target tilt photography height, a second tilt photography operation is performed on the corresponding suspected cavity location to obtain the current image data corresponding to each suspected cavity location;

[0090] Each current image data is checked to determine whether the suspected cavity location corresponding to each current image data is a non-cavity location;

[0091] If not, perform multiple oblique photography operations at different current oblique photography heights on the same suspected cavity location to obtain the current water damage data for each suspected cavity location.

[0092] According to one embodiment of the present invention, the method for establishing target models for each suspected cavity location is as follows:

[0093] The target algorithm is used to train the current water damage data to establish the current dataset corresponding to each suspected cavity location. The current dataset includes the current material dataset, current contour data, current color data and current geographic coordinate data corresponding to each suspected cavity location.

[0094] Each current dataset is filtered sequentially, and data information corresponding to non-cavity locations is removed from multiple suspected cavity locations to obtain the target dataset;

[0095] Based on the target dataset, modeling is performed sequentially to establish target models for each suspected cavity location.

[0096] According to one embodiment of the present invention, the method for managing water-damaged areas based on a water damage repair BIM management model is as follows:

[0097] The target model of the suspected cavity location is implanted into the oblique photography model of the target water-damaged area to obtain the water damage repair BIM management model;

[0098] The collected watermarked image data is input into the water damage repair BIM management model, and the water-damaged area is managed according to the water damage repair BIM management model.

[0099] According to one embodiment of the present invention, the watermarked image data is preferably acquired using a watermark camera. Of course, after the repair work on the target water-damaged area is completed, another oblique photography can be performed to establish a repaired as-built model. After the as-built model is completed, it is handed over to facilitate subsequent operation and management.

[0100] Furthermore, to achieve the aforementioned objectives, this invention also provides a BIM-based full lifecycle information interaction-based flood damage repair and construction management system. Figure 2 is a flowchart illustrating such a system according to an exemplary embodiment. As shown in Figure 2, the BIM-based full lifecycle information interaction-based flood damage repair and construction management system of this invention includes:

[0101] First data acquisition module: Performs the first oblique photography operation on the target water-damaged area to obtain the oblique photography model of the target water-damaged area and the target image data, wherein the target image data includes the water damage outline data, color data and material data of the target water-damaged area;

[0102] Location acquisition module: Processes target image data based on target algorithm to obtain the suspected cavity location of the target water-damaged area;

[0103] The second data acquisition module: sequentially performs a second oblique photography operation on each suspected cavity location in the target water-damaged area to obtain the current water damage data of each suspected cavity location;

[0104] Target model building module: Based on the target algorithm, train the current water damage data to build target models for each suspected cavity location;

[0105] Water damage area management module: Based on the target model of the suspected cavity location and the oblique photography model of the target water damage area, a water damage repair BIM management model is obtained, and the water damage area is managed according to the water damage repair BIM management model.

[0106] To achieve the above-mentioned objectives, the present invention also provides an electronic device, which includes: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the above-mentioned method for water damage repair and construction management based on BIM full life cycle information interaction.

[0107] To achieve the above-mentioned objectives, the present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-mentioned method for water damage repair and construction management based on BIM full life-cycle information interaction.

[0108] Those skilled in the art will recognize that the modules and algorithm steps described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0109] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the above-described apparatus and equipment can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0110] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or modules may be electrical, mechanical, or other forms.

[0111] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of the embodiments of the present invention, depending on actual needs.

[0112] In addition, the functional modules in the embodiments of the present invention can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0113] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the energy-saving signal transmission / reception methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.

[0114] The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the inventive concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions disclosed in this application.

[0115] It should be understood that the sequence number of each step in the invention and embodiments of the present invention does not absolutely imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

Claims

1. A method for construction management of flood damage repair based on BIM full life-cycle information interaction, characterized in that, include: A first oblique photogrammetry operation is performed on the target flood-damaged area to obtain an oblique photogrammetry model and target image data of the target flood-damaged area. The target image data includes flood damage contour data, color data, and material data of the target flood-damaged area. Based on a target algorithm, the target image data is processed to obtain the suspected cavity locations of the target flood-damaged area. A second oblique photogrammetry operation is then performed on each of the suspected cavity locations of the target flood-damaged area to obtain the current flood damage data for each suspected cavity location. Based on the current flood damage data, the target algorithm is trained to establish a target model for each suspected cavity location. Based on the target models of the suspected cavity locations and the oblique photogrammetry models of the target flood-damaged areas, a flood damage repair BIM management model is obtained, and the flood-damaged area is managed according to the flood damage repair BIM management model.

2. The method for water damage repair and construction management based on BIM full life-cycle information interaction as described in claim 1, characterized in that, The method for obtaining the oblique photography model and target image data of the target flood-damaged area is as follows: oblique photography is performed on the target flood-damaged area, and an oblique photography model of the target flood-damaged area is established by combining it with a preset vector map; the image data obtained from the oblique photography operation is integrated to obtain the target image data.

3. The method for water damage repair and construction management based on BIM full life-cycle information interaction as described in claim 2, characterized in that, The method for obtaining the suspected cavity locations of the target water-damaged area is as follows: Image processing is performed on the target image data using the target algorithm to filter out all suspected areas. The formula for the target algorithm is F... ij =∑ m,n W mn *I i+m,j+n +b; where F ij W is an element of the feature map; mn For the weights of the filter; I i+m,j+n is a pixel of the target image data; b is the bias term; the obtained suspected area is mapped into the oblique photography model of the target flood-damaged area, and the geographic coordinate information corresponding to each suspected area is extracted in sequence to obtain the suspected cavity location of the target flood-damaged area.

4. The method for water damage repair and construction management based on BIM full life-cycle information interaction as described in claim 3, characterized in that, The method for obtaining the current water damage data of each suspected cavity location is as follows: sequentially determine the target oblique photography height corresponding to the suspected cavity location of each target water damage area; in response to the determination of each target oblique photography height, sequentially perform a second oblique photography operation on the suspected cavity location of the corresponding target water damage area to obtain the current water damage data of each suspected cavity location.

5. A method for water damage repair and construction management based on BIM full life-cycle information interaction as described in claim 4, characterized in that, The method for obtaining current water damage data for each suspected cavity location further includes: performing secondary oblique photography operations on the suspected cavity locations of the corresponding target water damage area at each target oblique photography height to obtain current image data corresponding to each suspected cavity location; verifying each of the current image data to determine whether the suspected cavity location corresponding to each of the current image data is a non-cavity location; if not, performing multiple oblique photography operations on the same suspected cavity location at different current oblique photography heights to obtain current water damage data for each suspected cavity location.

6. The method for water damage repair and construction management based on BIM full life-cycle information interaction as described in claim 5, characterized in that, The method for establishing target models for each suspected cavity location is as follows: Based on the target algorithm, the current water damage data is trained to establish a current dataset corresponding to each suspected cavity location. This current dataset includes the current material dataset, current contour data, current color data, and current geographic coordinate data corresponding to each suspected cavity location. Each current dataset is then sequentially filtered to remove data information corresponding to non-cavity locations from the multiple suspected cavity locations, resulting in a target dataset. Based on the target dataset, modeling is performed sequentially to establish target models for each of the suspected cavity locations.

7. A method for water damage repair and construction management based on BIM full life-cycle information interaction as described in claim 6, characterized in that, The method for managing the water-damaged area according to the water damage repair BIM management model is as follows: the target model of the suspected cavity location is implanted into the oblique photography model of the target water-damaged area to obtain the water damage repair BIM management model; the collected watermark image data is input into the water damage repair BIM management model, and the water-damaged area is managed according to the water damage repair BIM management model.

8. A water damage repair and construction management system based on BIM full life-cycle information interaction, characterized in that, include: The first data acquisition module performs a first oblique photography operation on the target flood-damaged area to obtain an oblique photography model and target image data of the target flood-damaged area, wherein the target image data includes flood damage contour data, color data, and material data of the target flood-damaged area; the location acquisition module processes the target image data based on the target algorithm to obtain the suspected cavity locations of the target flood-damaged area; the second data acquisition module performs a second oblique photography operation on each of the suspected cavity locations of the target flood-damaged area to obtain the current flood damage data of each suspected cavity location; the target model building module trains the current flood damage data based on the target algorithm to build a target model for each suspected cavity location; the flood-damaged area management module obtains a flood damage repair BIM management model based on the target models of the suspected cavity locations and the oblique photography models of the target flood-damaged areas, and manages the flood-damaged areas according to the flood damage repair BIM management model.

9. An electronic device, characterized in that, It includes a processor, a memory, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements a water damage repair and construction management method based on BIM full life cycle information interaction as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which, when executed by a processor, implements a water damage repair and construction management method based on BIM full life cycle information interaction as described in any one of claims 1 to 7.

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