CN116561879A - Hydraulic engineering information management system and method based on BIM - Google Patents

Hydraulic engineering information management system and method based on BIM Download PDF

Info

Publication number
CN116561879A
CN116561879A CN202310848288.7A CN202310848288A CN116561879A CN 116561879 A CN116561879 A CN 116561879A CN 202310848288 A CN202310848288 A CN 202310848288A CN 116561879 A CN116561879 A CN 116561879A
Authority
CN
China
Prior art keywords
design
model
bim model
bim
construction site
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202310848288.7A
Other languages
Chinese (zh)
Inventor
张李荪
李祎盼
程遥
袁媛
洪小珺
黄薇
王海龙
吴琰
邹昕
张国文
陈学阳
刘杨
张娜
杨阳
陈浩雯
卢聪飞
陈金平
万国勇
黄兰波
胡波
黄凯
钟志坚
王险峰
彭世琥
郭耀文
夏宜谱
赵宁
段云华
王继开
肖志鹏
吴雅珍
程雪苗
胡奇
曹忠
王嘉龙
王佳轩
夏涵韬
雷丽娟
许良英
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Railway Water Resources Information Technology Co ltd
Original Assignee
China Railway Water Resources Information Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Railway Water Resources Information Technology Co ltd filed Critical China Railway Water Resources Information Technology Co ltd
Priority to CN202310848288.7A priority Critical patent/CN116561879A/en
Publication of CN116561879A publication Critical patent/CN116561879A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/13Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/27Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0464Convolutional networks [CNN, ConvNet]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A10/00TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
    • Y02A10/40Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping

Abstract

The invention discloses a hydraulic engineering information management system and a hydraulic engineering information management method based on BIM. Respectively constructing a design BIM model and a construction site BIM model, then splitting entity components of the design BIM model, establishing a corresponding model component classification table, endowing each entity component with coding attributes, then carrying out information management on the design BIM model and the construction site BIM model to obtain the design construction BIM model, specifically, carrying out feature extraction and fusion on the design BIM model and the construction site BIM model through a model feature extractor based on a deep neural network model to generate the design construction BIM model, and finally, carrying out dynamic collision inspection on the design construction BIM model and then applying the design construction BIM model. In this way, the BIM-based hydraulic engineering information management system can be optimized.

Description

Hydraulic engineering information management system and method based on BIM
Technical Field
The invention relates to the field of intelligent management, in particular to a hydraulic engineering information management system and method based on BIM.
Background
BIM (Building Information Modeling) is a building informatization system based on a three-dimensional modeling technology, and has been widely applied in the field of building engineering. In recent years, with the increasing complexity of hydraulic engineering and the increasing construction requirements, the application of the BIM technology in the field of hydraulic engineering becomes a necessary trend. The problem of solving design and construction segmentation by using the BIM technology is one of the most efficient modes at present, but this also results in the continuous upgrading of contradictions between project participants in terms of software selection and model pairing, for example: BIM modeling software cannot be unified, a design model cannot be applied by construction, and the like, and the contradictions gradually become important barriers throughout the whole life cycle of BIM projects. How to open the data butt joint between BIM modeling platforms, reduce repeated modeling work in each stage, expand the application value of BIM technology, and the integration of power-assisted design construction is one of the important problems of industry attention.
Accordingly, an optimized BIM-based hydraulic engineering information management system is desired.
Disclosure of Invention
In view of this, the present invention provides a hydraulic engineering information management system based on BIM and a method thereof, which can optimize the hydraulic engineering information management system based on BIM.
According to an aspect of the present invention, there is provided a BIM-based hydraulic engineering information management system, including:
the BIM model building module is used for building and designing a BIM model based on hydraulic engineering projects;
the construction site BIM model building module is used for building a construction site BIM model based on a construction site of hydraulic engineering;
the entity component processing module is used for splitting the entity components designed with the BIM model to obtain a plurality of entity components, establishing a corresponding model component classification table for the entity components, and endowing each entity component with coding attributes;
the design construction management module is used for carrying out information management on the design BIM model and the construction site BIM model to obtain the design construction BIM model; and the dynamic collision checking module is used for merging the design construction BIM model after the dynamic collision checking into the design construction integrated project management platform for application after the dynamic collision checking is carried out on the design construction BIM model.
According to another aspect of the present invention, there is provided a BIM-based hydraulic engineering information management method, including:
constructing and designing a BIM model based on hydraulic engineering projects;
constructing a construction site BIM model based on the construction site of the hydraulic engineering;
splitting the entity components for designing the BIM to obtain a plurality of entity components, establishing a corresponding model component classification table for the entity components, and endowing each entity component with coding attributes;
performing information management on the design BIM model and the construction site BIM model to obtain a design construction BIM model; and after the dynamic collision checking is carried out on the design construction BIM model, the design construction BIM model after the dynamic collision checking is fused into a design construction integrated project management platform for application.
According to the embodiment of the invention, a design BIM model and a construction site BIM model are firstly respectively constructed, then entity components of the design BIM model are split, a corresponding model component classification table is established, coding attributes are given to the entity components, then information management is carried out on the design BIM model and the construction site BIM model to obtain the design construction BIM model, specifically, feature extraction and fusion are carried out on the design BIM model and the construction site BIM model through a model feature extractor based on a deep neural network model to generate the design construction BIM model, and finally, dynamic collision inspection is carried out on the design construction BIM model and then application is carried out. Specifically, global context space association enrichment fusion is carried out on the design BIM model feature map and the construction site BIM model feature map to obtain the fusion model feature map, so that the generation quality of the fusion model feature map through AIGC-based design construction BIM model generator is improved. Therefore, the accuracy of the generation of the design construction BIM model can be improved, and the efficiency of design construction integrated management and the quality of hydraulic engineering projects are optimized.
Other features and aspects of the present invention will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features and aspects of the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 illustrates a block diagram of a BIM-based hydraulic engineering information management system according to an embodiment of the present invention.
Fig. 2 illustrates a block diagram of the design construction management module in the BIM-based hydraulic engineering information management system according to an embodiment of the present invention.
Fig. 3 shows a block diagram of the model feature extraction unit in the BIM-based hydraulic engineering information management system according to an embodiment of the present invention.
Fig. 4 illustrates a flowchart of a BIM-based hydraulic engineering information management method according to an embodiment of the present invention.
Fig. 5 shows a schematic architecture diagram of sub-step S140 of the BIM-based hydraulic engineering information management method according to an embodiment of the present invention.
Fig. 6 illustrates an application scenario diagram of a BIM-based hydraulic engineering information management system according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are also within the scope of the invention.
As used in the specification and in the claims, the terms "a," "an," "the," and/or "the" are not specific to a singular, but may include a plurality, unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that the steps and elements are explicitly identified, and they do not constitute an exclusive list, as other steps or elements may be included in a method or apparatus.
Various exemplary embodiments, features and aspects of the invention will be described in detail below with reference to the drawings. In the drawings, like reference numbers indicate identical or functionally similar elements. Although various aspects of the embodiments are illustrated in the accompanying drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
In addition, numerous specific details are set forth in the following description in order to provide a better illustration of the invention. It will be understood by those skilled in the art that the present invention may be practiced without some of these specific details. In some instances, well known methods, procedures, components, and circuits have not been described in detail so as not to obscure the present invention.
BIM (Building Information Modeling) technology is a digital design and construction method, and BIM technology can integrate all information of a building or engineering project into one three-dimensional model. The technology can help designers, architects, engineers and constructors share and cooperate in different stages of the project, thereby improving the efficiency and quality of the project, reducing mistakes and repeated work, and reducing cost and risk. BIM technology has been widely used in the fields of construction, civil engineering, hydraulic engineering, etc.
In hydraulic engineering, the application of BIM technology can help designers and engineers better understand the complexity and details of projects, and thus better plan and design the project. The BIM technology can display various parts of hydraulic engineering, such as reservoirs, sluice, diversion channels, water pumping stations and the like, in a three-dimensional model form, so that the structure and the function of the engineering can be more intuitively known. BIM techniques can help designers and engineers to better coordinate. In conventional design and construction processes, communication between designers and engineers is typically through mail, telephone or face-to-face meetings. This approach can easily lead to information that is not timely, accurate, or missing. While BIM technology can integrate various stages of design and construction into one platform, allowing designers and engineers to share and collaborate, thereby reducing mistakes and repetitive tasks. BIM technology can also help designers and engineers better manage projects. In conventional design and construction processes, the various stages of design and construction are typically performed separately, with each stage having respective documents and data. This approach can easily lead to lost or inconsistent information, while BIM techniques can integrate the various stages of design and construction into one platform, allowing designers and engineers to better manage and share information for the project, thereby improving the efficiency and quality of the project. In the construction process of hydraulic engineering, BIM technology can also help engineers to control cost and risk better, and the progress, quality and cost of engineering can be monitored and controlled in real time in the construction process, so that problems can be found and solved in time, and cost and risk are reduced.
The problem of solving design and construction segmentation by using the BIM technology is one of the most efficient modes at present, but this also results in the continuous upgrading of contradictions between project participants in terms of software selection and model pairing, for example: BIM modeling software cannot be unified, a design model cannot be applied by construction, and the like, and the contradictions gradually become important barriers throughout the whole life cycle of BIM projects. How to open the data butt joint between BIM modeling platforms, reduce repeated modeling work in each stage, expand the application value of BIM technology, and the integration of power-assisted design construction is one of the important problems of industry attention. Accordingly, an optimized BIM-based hydraulic engineering information management system is desired.
Fig. 1 shows a block diagram schematic of a BIM-based hydraulic engineering information management system according to an embodiment of the present invention. As shown in fig. 1, a BIM-based hydraulic engineering information management system 100 according to an embodiment of the present invention includes: the BIM model construction module 110 is used for constructing and designing a BIM model based on hydraulic engineering projects; a construction site BIM model building module 120 for building a construction site BIM model based on a construction site of hydraulic engineering; the entity component processing module 130 is configured to split the entity components designed with the BIM model to obtain a plurality of entity components, build a model component classification table corresponding to the entity components, and assign coding attributes to the entity components; a design construction management module 140, configured to perform information management on the design BIM model and the construction site BIM model to obtain a design construction BIM model; and a dynamic collision checking module 150, configured to integrate the design construction BIM model after the dynamic collision checking into a design construction integrated project management platform for application after the dynamic collision checking is performed on the design construction BIM model.
In a specific example of the present invention, the BIM model building module is configured to build and design a BIM model based on hydraulic engineering projects, and the specific implementation procedure includes: collecting related data of hydraulic engineering projects, including design drawings, technical specifications, construction schemes and the like; importing the collected data into BIM software to perform three-dimensional modeling, including buildings, pipelines, equipment and the like; optimizing and adjusting the modeled BIM model to ensure that the BIM model meets the design requirements and technical specifications; and outputting the BIM model as a visualized three-dimensional model for cooperation and management by designers, engineers and constructors.
In a specific example of the present invention, a construction site BIM model building module is configured to build a construction site BIM model based on a construction site of hydraulic engineering, and the specific implementation procedure includes: collecting relevant data of construction sites, including a site plan view, a topographic map, an earth volume and the like; importing the collected data into BIM software to perform three-dimensional modeling, wherein the three-dimensional modeling comprises site topography, construction equipment, construction materials and the like; optimizing and adjusting the modeled BIM model to ensure that the BIM model meets construction requirements and safety specifications; and outputting the construction site BIM model into a visual three-dimensional model so as to facilitate cooperation and management of construction personnel.
In a specific example of the present invention, the entity component processing module is configured to split entity components for designing a BIM model to obtain a plurality of entity components, and build a model component classification table corresponding to each entity component, and assign coding attributes to each entity component, where the specific implementation flow includes: analyzing and splitting the designed BIM model, and splitting the BIM model into a plurality of entity components; classifying each entity component and establishing a corresponding model component classification table; and, assigning coding attributes to each entity member for subsequent information management and querying.
In a specific example of the present invention, the design and construction management module is configured to perform information management on a design BIM model and a construction site BIM model to obtain the design and construction BIM model, and the specific implementation process includes: integrating the design BIM model and the construction site BIM model to obtain the design construction BIM model; information management is carried out on the design construction BIM model, wherein the information management comprises construction progress, material management, construction quality and the like; and realizing the collaboration and management of designers, engineers and constructors by designing the construction BIM model.
In a specific example of the present invention, after the dynamic collision checking module is used for performing dynamic collision checking on the design construction BIM model, the design construction BIM model after the dynamic collision checking is fused into the design construction integrated project management platform for application, and the specific implementation process includes: performing dynamic collision checking on the designed construction BIM model to check whether collision problems exist among the components; analyzing and processing the inspection result to solve the collision problem; and integrating the design and construction BIM model after the dynamic collision inspection into a design and construction integrated project management platform, so as to realize information sharing and collaboration and improve project efficiency and quality.
Accordingly, in consideration of the fact that in the actual BIM-based hydraulic engineering information management process, it is particularly important to conduct information management on the design BIM model and the construction site BIM model to obtain the design construction BIM model, the method is a key for achieving project management of design construction integration and improving quality and efficiency of hydraulic engineering projects. Based on the above, in the technical scheme of the invention, the three-dimensional characteristic information of the design BIM model and the construction site BIM model is expected to be fully captured and described by utilizing an artificial intelligence technology based on deep learning, so that the accuracy of the design construction BIM model generation is improved, and the efficiency of design construction integrated management and the quality of hydraulic engineering projects are optimized.
Accordingly, in one possible implementation, as shown in fig. 2, the design construction management module 140 includes: a model acquisition unit 141 for acquiring the design BIM model and the construction site BIM model; a model feature extraction unit 142, configured to perform feature extraction on the design BIM model and the construction site BIM model to obtain a design BIM model feature map and a construction site BIM model feature map; a model feature fusion unit 143, configured to generate a fusion model feature map based on the design BIM model feature map and the construction site BIM model feature map; and a design construction BIM model generating unit 144 configured to generate the design construction BIM model based on the fusion model feature map.
Accordingly, in one possible implementation manner, as shown in fig. 3, the model feature extraction unit 142 includes: a design BIM model feature capture subunit 1421 for extracting the design BIM model feature map from the design BIM model based on a design model feature extractor of a first deep neural network model; and a construction site BIM model feature capture subunit 1422 for extracting the construction site BIM model feature map from the construction site BIM model based on a construction site model feature extractor of the second deep neural network model. It should be appreciated that in a building information system, the design BIM model typically contains complex structures and a large number of elements, and in order to efficiently and accurately extract feature information in the design BIM model, a design model feature extractor based on a three-dimensional convolutional neural network model is further employed to process the design BIM model. It should be noted that, here, the three-dimensional convolutional neural network model can perform three-dimensional feature capture of the design BIM model through a three-dimensional convolutional kernel, so that useful three-dimensional feature information, such as features of structural layout, door and window positions, pipeline trend and the like, is effectively extracted from the design BIM model, and a design BIM model feature map is obtained. Likewise, in hydraulic engineering, the construction site BIM model generally includes a large number of complex three-dimensional structures such as buildings, roads, bridges, floodgates, and the like, and the number and complexity of these structures pose a great challenge to information management of hydraulic engineering. Therefore, in the technical scheme of the invention, the construction site BIM model is passed through a construction site model feature extractor based on a three-dimensional convolutional neural network model to obtain a construction site BIM model feature map. It should be appreciated that by using the three-dimensional convolutional neural network model to perform feature extraction on the construction site BIM model, important three-dimensional feature information in the construction site BIM model can be automatically identified and extracted to significantly improve modeling accuracy. Moreover, the feature extractor based on the three-dimensional convolutional neural network can enable the construction site BIM model to have a visual effect, so that information such as design and layout of the model can be better understood, and efficiency of hydraulic engineering information management is improved.
Accordingly, in one possible implementation, the first and second deep neural network models are both three-dimensional convolutional neural network models. More specifically, the design BIM model feature capture subunit 1421 is configured to: and respectively performing three-dimensional convolution processing, mean pooling processing and nonlinear activation processing based on three-dimensional convolution kernels on input data in forward transfer of layers by the layers of the design model feature extractor based on the three-dimensional convolution neural network model so that the output of the last layer of the design model feature extractor based on the three-dimensional convolution neural network model is the design BIM model feature map, wherein the input of the first layer of the design model feature extractor based on the three-dimensional convolution neural network model is the design BIM model. More specifically, the construction site BIM model feature capture subunit 1422 is configured to: and respectively performing three-dimensional convolution processing, mean pooling processing and nonlinear activation processing on input data in forward transmission of layers by using each layer of the construction site model feature extractor based on the three-dimensional convolution neural network model so that the output of the last layer of the construction site model feature extractor based on the three-dimensional convolution neural network model is the construction site BIM model feature map, wherein the input of the first layer of the construction site model feature extractor based on the three-dimensional convolution neural network model is the construction site BIM model.
It should be noted that the three-dimensional convolutional neural network model (3D CNN) is a neural network model based on deep learning, and is used for processing three-dimensional data, and the three-dimensional convolutional neural network model is similar to a general convolutional neural network model (CNN), but can process three-dimensional data, such as video, three-dimensional image, volume data, and the like. The three-dimensional convolutional neural network model comprises basic components such as a convolutional layer, a pooling layer and a full-connection layer, wherein the convolutional layer is a core component, and characteristic information of data can be extracted through a convolutional kernel. In BIM technology, a three-dimensional convolutional neural network model can be used to extract useful three-dimensional feature information, such as features of structural layout, door and window positions, pipeline trends, and the like, from the design BIM model and the construction site BIM model. By using the three-dimensional convolutional neural network model, important three-dimensional characteristic information in the BIM model can be automatically identified and extracted, so that modeling accuracy is remarkably improved. Meanwhile, the feature extractor based on the three-dimensional convolutional neural network model can enable the BIM model to have a visual effect, so that information such as design and layout of the model can be better understood, and efficiency of hydraulic engineering information management is improved.
It should be appreciated that convolutional, pooling, and fully-connected layers are neural network layers commonly used in deep learning. The convolution layer (Convolutional Layer) is one of core layers of the convolution neural network, and is mainly used for extracting features in images or other types of data, and the convolution layer performs convolution operation by sliding a convolution kernel (filter) on input data so as to extract feature information in the input data, wherein the convolution layer generally comprises a plurality of convolution kernels, and each convolution kernel can extract different feature information; pooling Layer (Pooling Layer) is an operation for reducing the size of the feature map, and is usually performed by downsampling the feature map output by the convolution Layer immediately after the Pooling Layer, so as to reduce the size of the feature map, where the Pooling Layer has different Pooling modes, such as maximum Pooling, average Pooling, and the like, and the maximum Pooling is the most commonly used one; the fully connected layer (Fully Connected Layer) is one of the most basic layers in the neural network, and has the main functions of expanding the output characteristic diagrams of the previous convolution layer and the pooling layer into one-dimensional vectors and inputting the one-dimensional vectors into the fully connected layer for classification, regression and other tasks. The fully connected layer typically includes a plurality of neurons, each connected to all neurons of the previous layer. The convolution layer and the pooling layer are mainly used for feature extraction, and the full-connection layer is used for tasks such as classification, regression and the like. In convolutional neural networks, convolutional layers, pooling layers and fully-connected layers are typically used alternately, which constitutes the basic framework of the deep learning model.
Further, it should be appreciated that both the design BIM model and the construction site BIM model contain a large amount of three-dimensional structural information, but they reflect this information from different levels. The design BIM model generally contains the original design data of the building, and the construction site BIM model is more focused on the visualization effect of the actual construction condition. In order to enable the generated design construction BIM model to have high-precision design information and good visual effect, after the three-dimensional characteristic information of the design BIM model and the three-dimensional characteristic information of the construction site BIM model are obtained, the design BIM model characteristic diagram and the construction site BIM model characteristic diagram are further fused to obtain a fusion model characteristic diagram. Therefore, a more comprehensive and accurate model characteristic diagram can be obtained, key characteristic information of two stages of design and construction is contained, and the generation accuracy of a BIM model for subsequent design and construction and the efficiency of integrated management of the design and construction are improved.
Particularly, in the technical scheme of the invention, the design BIM model feature map and the construction site BIM model feature map are respectively obtained by extracting three-dimensional features of the design BIM model and the construction site BIM model through a feature extractor based on a three-dimensional convolutional neural network model, and the design BIM model feature map and the construction site BIM model feature map are respectively represented by taking a three-dimensional convolutional kernel of the three-dimensional convolutional neural network model as an extraction unit of local associated features, so that model local semantic association representation under the local association scale of the three-dimensional convolutional kernel is also embodied. Accordingly, when the design BIM model feature map and the construction site BIM model feature map are fused to obtain the fusion model feature map, fusion needs to be performed based on the associated feature scale representation of the three-dimensional convolution kernel for three-dimensional local associated feature extraction. Based on the above, the invention carries out global context space association enrichment fusion on the design BIM model feature map and the construction site BIM model feature map to obtain the fusion model feature map.
Accordingly, in one possible implementation manner, the model feature fusion unit 143 is configured to: carrying out global context space association enrichment fusion on the design BIM model feature map and the construction site BIM model feature map by using the following optimization formula to obtain a fusion model feature map; wherein, the optimization formula is:
wherein ,andthe design BIM model feature map and the construction site BIM model feature map are respectively the firstThe number of feature matrices is chosen such that,is the first of the fusion model feature mapThe number of feature matrices is chosen such that,andrespectively matrix multiplication and matrix addition,representing the transposed matrix of the matrix.
Here, in order to gather context spatial correlation semantics between local spatial semantics of a correlation distribution between the design BIM model feature map and the construction site BIM model feature map, the global context spatial correlation enrichment fusion enriches a spatial semantic fusion expression at a frame level of a feature matrix under (enhancement) global perception field by focusing on explicit context correlation at a spatial frame level represented by a feature matrix of the feature map, thereby implementing assimilation (assimilation) fusion of spatial sharing context semantics of a cross-channel of the design BIM model feature map and the construction site BIM model feature map, so as to better fuse the design BIM model feature map and the construction site BIM model feature map, thereby improving a feature fusion expression effect of the fusion model feature map, and also improving generation quality of the fusion model feature map by an AIGC-based design construction BIM model generator. Therefore, the accuracy of the generation of the design construction BIM model can be improved, and the efficiency of design construction integrated management and the quality of hydraulic engineering projects are optimized.
It should be understood that the global context space association enrichment fusion refers to a process of obtaining a fused model feature map by performing global context space association enrichment on a design BIM model feature map and a construction site BIM model feature map. In one specific example, the global context space association enrichment fusion may be implemented by: inputting the design BIM model feature map and the construction site BIM model feature map into a model feature fusion unit; carrying out global context space association enrichment on the design BIM model feature map and the construction site BIM model feature map to capture the space relation between the design BIM model feature map and the construction site BIM model feature map, wherein the space relation can be realized by carrying out convolution operation on the feature map, so that the space information in the feature map is extracted; and fusing the enriched design BIM model feature map and the construction site BIM model feature map to obtain a fused model feature map, wherein the fused model feature map can be realized in a weighted summation mode, and the weights can be set according to actual conditions. The global context space association enrichment fusion can help to improve the feature expression capability of the model, thereby improving the accuracy and the robustness of the model. In BIM technology, global context space association enrichment fusion can help designers and engineers better understand the complexity and details of a project, thereby improving the efficiency and quality of the project.
Accordingly, in one possible implementation manner, the design construction BIM model generating unit 144 is configured to: and the fusion model feature diagram is subjected to AIGC-based design construction BIM model generator to obtain the design construction BIM model. After the fusion characteristics of the three-dimensional characteristic information of the design BIM model and the three-dimensional characteristic information of the construction site BIM model are obtained, the fusion model characteristic diagram is further subjected to AIGC-based design construction BIM model generator to obtain the design construction BIM model. It should be understood that since the design construction BIM model is the core data of the project management of the whole hydraulic engineering, all information from the design to the construction of the project is contained. In the technical scheme of the invention, the AIGC-based design construction BIM model generator can realize automatic modeling and size control. The fusion model feature diagram is input into the AIGC for training and optimizing, so that the design construction BIM model with high quality and high precision can be obtained. Meanwhile, the AIGC-based design construction BIM model generator has the advantages of higher model generation speed, higher precision, adaptability and the like, can greatly improve the efficiency of construction plan adjustment, reduce the problems of prediction errors and the like, effectively optimizes the operation benefit, shortens the operation time and improves the management quality and efficiency of the whole hydraulic engineering project.
In summary, the BIM-based hydraulic engineering information management system 100 according to the embodiment of the present invention is illustrated, which can improve the accuracy of generating the BIM model for design and construction, thereby optimizing the efficiency of integrated management of design and construction and the quality of hydraulic engineering projects.
As described above, the BIM-based hydraulic engineering information management system 100 according to the embodiment of the present invention may be implemented in various terminal devices, for example, a server having a BIM-based hydraulic engineering information management algorithm, etc. In one example, the BIM-based hydraulic engineering information management system 100 may be integrated into the terminal device as one software module and/or hardware module. For example, the BIM-based hydraulic engineering information management system 100 may be a software module in the operating system of the terminal device, or may be an application developed for the terminal device; of course, the BIM-based hydraulic engineering information management system 100 may also be one of a plurality of hardware modules of the terminal device.
Alternatively, in another example, the BIM-based hydraulic engineering information management system 100 and the terminal device may be separate devices, and the BIM-based hydraulic engineering information management system 100 may be connected to the terminal device through a wired and/or wireless network and transmit the interactive information in a contracted data format.
Fig. 4 illustrates a flowchart of a BIM-based hydraulic engineering information management method according to an embodiment of the present invention. As shown in fig. 4, the BIM-based hydraulic engineering information management method according to an embodiment of the present invention includes: s110, constructing and designing a BIM model based on hydraulic engineering projects; s120, constructing a construction site BIM model based on the construction site of the hydraulic engineering; s130, splitting the entity components for designing the BIM model to obtain a plurality of entity components, establishing a corresponding model component classification table for the entity components, and endowing each entity component with coding properties; s140, performing information management on the design BIM model and the construction site BIM model to obtain a design construction BIM model; and S150, after the dynamic collision checking is carried out on the design construction BIM model, the design construction BIM model after the dynamic collision checking is fused into a design construction integrated project management platform for application.
Fig. 5 shows a schematic architecture diagram of sub-step S140 of the BIM-based hydraulic engineering information management method according to an embodiment of the present invention. As shown in fig. 5, according to the BIM-based hydraulic engineering information management method according to the embodiment of the present invention, information management is performed on the design BIM model and the construction site BIM model to obtain a design construction BIM model, including: acquiring the design BIM model and the construction site BIM model; performing feature extraction on the design BIM model and the construction site BIM model to obtain a design BIM model feature map and a construction site BIM model feature map; generating a fusion model feature map based on the design BIM model feature map and the construction site BIM model feature map; and generating the design construction BIM model based on the fusion model feature diagram.
Here, it will be understood by those skilled in the art that the specific operations of the respective steps in the above-described BIM-based hydraulic engineering information management method have been described in detail in the above description of the BIM-based hydraulic engineering information management system with reference to fig. 1 to 3, and thus, repetitive descriptions thereof will be omitted.
Fig. 6 illustrates an application scenario diagram of a BIM-based hydraulic engineering information management system according to an embodiment of the present invention. As shown in fig. 6, in this application scenario, first, the design BIM model (e.g., D1 illustrated in fig. 6) and the construction site BIM model (e.g., D2 illustrated in fig. 6) are acquired, and then the design BIM model and the construction site BIM model are input into a server (e.g., S illustrated in fig. 6) deployed with a BIM-based hydraulic engineering information management algorithm, wherein the server can process the design BIM model and the construction site BIM model using the BIM-based hydraulic engineering information management algorithm to generate the design construction BIM model.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The foregoing description of embodiments of the invention has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the improvement of technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims (7)

1. The utility model provides a hydraulic engineering information management system based on BIM which characterized in that includes:
the BIM model building module is used for building and designing a BIM model based on hydraulic engineering projects;
the construction site BIM model building module is used for building a construction site BIM model based on a construction site of hydraulic engineering;
the entity component processing module is used for splitting the entity components designed with the BIM model to obtain a plurality of entity components, establishing a corresponding model component classification table for the entity components, and endowing each entity component with coding attributes;
the design construction management module is used for carrying out information management on the design BIM model and the construction site BIM model to obtain the design construction BIM model; the dynamic collision checking module is used for merging the design construction BIM model after the dynamic collision checking into a design construction integrated project management platform for application after the dynamic collision checking is carried out on the design construction BIM model;
wherein, the design construction management module includes:
the model acquisition unit is used for acquiring the design BIM model and the construction site BIM model;
the model feature extraction unit is used for extracting features of the design BIM model and the construction site BIM model to obtain a design BIM model feature map and a construction site BIM model feature map;
the model feature fusion unit is used for generating a fusion model feature map based on the design BIM model feature map and the construction site BIM model feature map; the design construction BIM model generating unit is used for generating the design construction BIM model based on the fusion model feature diagram;
wherein the model feature extraction unit includes:
a design BIM model feature capture subunit for extracting the design BIM model feature map from the design BIM model based on a design model feature extractor of a first deep neural network model; and a construction site BIM model feature capturing subunit for extracting the construction site BIM model feature map from the construction site BIM model based on a construction site model feature extractor of a second deep neural network model.
2. The BIM-based hydraulic engineering information management system of claim 1, wherein the first and second deep neural network models are both three-dimensional convolutional neural network models.
3. The BIM-based hydraulic engineering information management system of claim 2, wherein the design BIM model feature capturing subunit is configured to: and respectively performing three-dimensional convolution processing, mean pooling processing and nonlinear activation processing based on three-dimensional convolution kernels on input data in forward transfer of layers by the layers of the design model feature extractor based on the three-dimensional convolution neural network model so that the output of the last layer of the design model feature extractor based on the three-dimensional convolution neural network model is the design BIM model feature map, wherein the input of the first layer of the design model feature extractor based on the three-dimensional convolution neural network model is the design BIM model.
4. The BIM-based hydraulic engineering information management system of claim 3, wherein the construction site BIM model feature capturing subunit is configured to: and respectively performing three-dimensional convolution processing, mean pooling processing and nonlinear activation processing on input data in forward transmission of layers by using each layer of the construction site model feature extractor based on the three-dimensional convolution neural network model so that the output of the last layer of the construction site model feature extractor based on the three-dimensional convolution neural network model is the construction site BIM model feature map, wherein the input of the first layer of the construction site model feature extractor based on the three-dimensional convolution neural network model is the construction site BIM model.
5. The BIM-based hydraulic engineering information management system of claim 4, wherein the model feature fusion unit is configured to:
carrying out global context space association enrichment fusion on the design BIM model feature map and the construction site BIM model feature map by using the following optimization formula to obtain a fusion model feature map;
wherein, the optimization formula is:
wherein , and />The design BIM model feature map and the construction site BIM model feature map are +.>Characteristic matrix->Is the +.f. of the fusion model feature map>Characteristic matrix-> and />Matrix multiplication and matrix addition, respectively, +.>Representing the transposed matrix of the matrix.
6. The BIM-based hydraulic engineering information management system of claim 5, wherein the design construction BIM model generating unit is configured to: and the fusion model feature diagram is subjected to AIGC-based design construction BIM model generator to obtain the design construction BIM model.
7. The hydraulic engineering information management method based on BIM is characterized by comprising the following steps:
constructing and designing a BIM model based on hydraulic engineering projects;
constructing a construction site BIM model based on the construction site of the hydraulic engineering;
splitting the entity components for designing the BIM to obtain a plurality of entity components, establishing a corresponding model component classification table for the entity components, and endowing each entity component with coding attributes;
performing information management on the design BIM model and the construction site BIM model to obtain a design construction BIM model; after the dynamic collision checking is carried out on the design construction BIM model, the design construction BIM model after the dynamic collision checking is fused into a design construction integrated project management platform for application;
the information management of the design BIM model and the construction site BIM model is performed to obtain a design construction BIM model, and the method comprises the following steps:
acquiring the design BIM model and the construction site BIM model;
performing feature extraction on the design BIM model and the construction site BIM model to obtain a design BIM model feature map and a construction site BIM model feature map;
generating a fusion model feature map based on the design BIM model feature map and the construction site BIM model feature map; generating the design construction BIM based on the fusion model feature diagram;
the feature extraction is performed on the design BIM model and the construction site BIM model to obtain a design BIM model feature map and a construction site BIM model feature map, which comprises the following steps:
a design model feature extractor based on a first deep neural network model extracts the design BIM model feature map from the design BIM model; and extracting the construction site BIM model feature map from the construction site BIM model based on a construction site model feature extractor of a second deep neural network model.
CN202310848288.7A 2023-07-12 2023-07-12 Hydraulic engineering information management system and method based on BIM Pending CN116561879A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310848288.7A CN116561879A (en) 2023-07-12 2023-07-12 Hydraulic engineering information management system and method based on BIM

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310848288.7A CN116561879A (en) 2023-07-12 2023-07-12 Hydraulic engineering information management system and method based on BIM

Publications (1)

Publication Number Publication Date
CN116561879A true CN116561879A (en) 2023-08-08

Family

ID=87503986

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310848288.7A Pending CN116561879A (en) 2023-07-12 2023-07-12 Hydraulic engineering information management system and method based on BIM

Country Status (1)

Country Link
CN (1) CN116561879A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117634006A (en) * 2024-01-26 2024-03-01 新疆三联工程建设有限责任公司 BIM technology-based sleeve embedded engineering management system and method

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113722791A (en) * 2021-07-22 2021-11-30 上海市水利工程设计研究院有限公司 BIM technology-based integrated application method of hydraulic engineering design and construction model
CN115147545A (en) * 2022-06-27 2022-10-04 东南大学 Scene three-dimensional intelligent reconstruction system and method based on BIM and deep learning
CN115393501A (en) * 2021-05-24 2022-11-25 阿里巴巴新加坡控股有限公司 Information processing method and device
CN115775116A (en) * 2023-02-13 2023-03-10 华设设计集团浙江工程设计有限公司 BIM-based road and bridge engineering management method and system
CN115964360A (en) * 2023-03-14 2023-04-14 山东省地震工程研究院 Earthquake safety evaluation database construction method and system
CN116028663A (en) * 2023-03-29 2023-04-28 深圳原世界科技有限公司 Three-dimensional data engine platform
CN116204266A (en) * 2023-05-04 2023-06-02 深圳市联合信息技术有限公司 Remote assisted information creation operation and maintenance system and method thereof
CN116402671A (en) * 2023-06-08 2023-07-07 北京万象创造科技有限公司 Sample coding image processing method for automatic coding system

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115393501A (en) * 2021-05-24 2022-11-25 阿里巴巴新加坡控股有限公司 Information processing method and device
CN113722791A (en) * 2021-07-22 2021-11-30 上海市水利工程设计研究院有限公司 BIM technology-based integrated application method of hydraulic engineering design and construction model
CN115147545A (en) * 2022-06-27 2022-10-04 东南大学 Scene three-dimensional intelligent reconstruction system and method based on BIM and deep learning
CN115775116A (en) * 2023-02-13 2023-03-10 华设设计集团浙江工程设计有限公司 BIM-based road and bridge engineering management method and system
CN115964360A (en) * 2023-03-14 2023-04-14 山东省地震工程研究院 Earthquake safety evaluation database construction method and system
CN116028663A (en) * 2023-03-29 2023-04-28 深圳原世界科技有限公司 Three-dimensional data engine platform
CN116204266A (en) * 2023-05-04 2023-06-02 深圳市联合信息技术有限公司 Remote assisted information creation operation and maintenance system and method thereof
CN116402671A (en) * 2023-06-08 2023-07-07 北京万象创造科技有限公司 Sample coding image processing method for automatic coding system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
宋欣悦: "基于迁移学习的三维模型特征提取技术研究", 《中国优秀硕士学位论文全文数据库电子期刊 信息科技辑》, vol. 2022, no. 2, pages 3 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117634006A (en) * 2024-01-26 2024-03-01 新疆三联工程建设有限责任公司 BIM technology-based sleeve embedded engineering management system and method
CN117634006B (en) * 2024-01-26 2024-04-26 新疆三联工程建设有限责任公司 BIM technology-based sleeve embedded engineering management system and method

Similar Documents

Publication Publication Date Title
Lu et al. Semi-automatic geometric digital twinning for existing buildings based on images and CAD drawings
CN109635511B (en) High-rise residential district compulsory emission scheme generation design method for generating countermeasure network based on conditions
Chen et al. The face image super-resolution algorithm based on combined representation learning
CN111292026A (en) Scrap steel grading method and device based on neural network model fusion
CN111539887A (en) Neural network image defogging method based on mixed convolution channel attention mechanism and layered learning
KR102423579B1 (en) Integral maintenance control method and system for managing dam safety based on 3d modelling
CN109462736B (en) Road and bridge engineering construction video conference management method and system based on BIM + GIS modeling
CN113140041A (en) Cloud-based three-dimensional automatic modeling system and modeling method for building field
CN116561879A (en) Hydraulic engineering information management system and method based on BIM
Zhang et al. Automatic object removal with obstructed façades completion using semantic segmentation and generative adversarial inpainting
CN112329780A (en) Deep image semantic segmentation method based on deep learning
CN113516133A (en) Multi-modal image classification method and system
CN114758337B (en) Semantic instance reconstruction method, device, equipment and medium
CN111028279A (en) Point cloud data processing method and device, electronic equipment and storage medium
CN110378047A (en) A kind of Longspan Bridge topology ambiguity three-dimensional rebuilding method based on computer vision
CN110852980A (en) Interactive image filling method and system, server, device and medium
CN114693929A (en) Semantic segmentation method for RGB-D bimodal feature fusion
CN114882494B (en) Three-dimensional point cloud feature extraction method based on multi-modal attention driving
Nath et al. Deep generative adversarial network to enhance image quality for fast object detection in construction sites
Wang et al. Building a next generation AI platform for AEC: A review and research challenges
Wu et al. Application of automobile Modelling optimization design based on virtual reality technology
CN116258756B (en) Self-supervision monocular depth estimation method and system
CN115330930A (en) Three-dimensional reconstruction method and system based on sparse to dense feature matching network
CN114612619A (en) Three-dimensional point cloud reconstruction method and system based on point cloud completion technology
KR101958199B1 (en) Configuration management system by the 3D model, The system for maintenance of small and mediun-sized plant

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination