A BIM-based engineering digital management platform and management method

Abstract

The present invention discloses a BIM-based engineering digital management platform and a management method thereof, which relates to the technical field of engineering project management and includes the following steps: constructing a BIM model of an engineering project and importing project-related documents; constructing an intelligent archive management strategy, performing semantic analysis on the imported project documents, automatically extracting key information, and binding this information with relevant components in the BIM model; using virtual reality (VR) and augmented reality (AR) technologies to build an immersive construction scene; continuously performing semantic analysis on new documents and automatically updating relevant information in the BIM model; once a potential disaster risk is detected, the corresponding emergency response plan is automatically generated based on the design specifications and document information in the BIM model. The present invention automatically extracts key document information and intelligently binds it to the BIM model through semantic analysis and natural language processing technology, thereby achieving automation and precision in information management.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering project management, and in particular to a BIM model-based engineering digital management platform and a management method thereof. Background Art

[0002] As the scale of modern engineering projects continues to expand, the complexity of project management has also increased significantly. Traditional engineering management models rely primarily on 2D drawings, paper documents, and manual collaboration, leading to problems such as delayed information transfer, inconsistent data, and poor communication. This management approach cannot meet the current needs for efficient, accurate, and collaborative management of engineering projects.

[0003] To address these issues, BIM technology has been gradually introduced into engineering project management. BIM integrates various data, including building geometry, materials, and construction processes, into three-dimensional digital models, providing strong support for project design, construction, and operations. However, existing BIM applications primarily focus on the design and construction phases, with limited support for document management, on-site construction guidance, and emergency response.

[0004] The existing engineering management system has the following deficiencies when combined with BIM technology:

[0005] Document management is not intelligent enough: Existing systems usually use manual methods to process and manage project documents, lack automated information extraction and analysis capabilities, and cannot efficiently and intelligently associate key information with BIM models.

[0006] Insufficient virtual construction guidance capabilities: Although existing systems can use BIM models for three-dimensional visualization, their application in immersive construction scene simulation and AR on-site guidance is not mature enough, resulting in poor virtual drills and an increased risk of errors and delays in actual construction.

[0007] Untimely emergency response: Traditional emergency response relies on post-event analysis and manual decision-making, making it difficult to respond to emergencies in a timely manner and unable to fully utilize the data in the BIM model for real-time risk assessment and emergency plan generation. Summary of the Invention

[0008] The purpose of this section is to summarize some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract and title of this application to avoid obscuring the purpose of this section, the abstract and the title of the invention, and such simplifications or omissions should not be used to limit the scope of the present invention.

[0009] In view of the problems existing in the above-mentioned existing engineering digital management platform based on BIM model and its management method, the present invention is proposed.

[0010] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0011] A BIM-based engineering digital management method includes the following steps:

[0012] Step 1: Build the BIM model of the project and import project-related documents;

[0013] Build an intelligent archive management strategy to perform semantic analysis on imported project documents, automatically extract key information, and bind this information to relevant components in the BIM model;

[0014] Step 2: Based on the BIM model that has undergone semantic analysis and associated document information, use virtual reality (VR) and augmented reality (AR) technologies to build an immersive construction scene;

[0015] Step 3: Continuously perform semantic analysis on new documents and automatically update relevant information in the BIM model;

[0016] Step 4: Use sensors to monitor disaster risks during the project implementation phase. Once potential disaster risks are detected, corresponding emergency response plans are automatically generated based on the design specifications and document information in the BIM model. Managers can also use VR equipment to rehearse emergency plans in advance and optimize personnel scheduling and operational processes.

[0017] As a preferred solution of the engineering digital management method based on the BIM model described in the present invention, the intelligent archive management strategy includes the following steps:

[0018] S11: Document D is analyzed through deep learning model i Perform semantic analysis to extract key information including construction specifications, material safety, and safety standards, and form an information set S(D i );

[0019] S12: Associate and bind the extracted relationship information set with the specific components in the BIM model and express it as a mapping function T(S(D i )); and normalize it, denoted as Φ(T(S(D i )));

[0020] S13: Evaluate the processing efficiency of the imported documents, that is, the overall efficiency of processing the kth group within time t is expressed as ψ(k,t);

[0021] S14: Calculate and evaluate the semantic distance between documents to obtain a distance E;

[0022]

[0023] S5: Finally, all document processing and binding processes within the entire time period T are cumulatively calculated to obtain the total efficiency M of the association between the entire project document and the BIM model;

[0024]

[0025] Here, exp(-λ·t) represents the modeling time decay effect, that is, the efficiency of processing documents decreases over time.

[0026] As a preferred solution of the engineering digital management method based on BIM model described in the present invention, wherein: the mapping function T(S(D i )) is calculated as:

[0027]

[0028] Where C is the total number of components in the BIM model, γ C is the information weight associated with the component, Sim(S(D i ),M C ) is the similarity between the extracted information and the components.

[0029] As a preferred solution of the engineering digital management method based on the BIM model described in the present invention, the calculation formula of the overall efficiency ψ(k,t) is:

[0030]

[0031] Where Q(k) is the processing quality of the k-th group of documents, that is, the accuracy of the extracted information; P(k) is the processing volume of the k-th group of documents, that is, the number of document pages or the amount of information processed; α and β are coefficients that adjust the weights of the quality and processing volume; and δ is the time decay coefficient.

[0032] As a preferred solution of the engineering digital management method based on the BIM model described in the present invention, the specific method of generating the corresponding emergency response plan in the step 4 is as follows:

[0033] S41: Assess the severity and likelihood of potential disaster risks and generate corresponding risk scores based on document information;

[0034] S42: Calculate the priorities of different emergency response measures, combining risk assessment results and resource allocation;

[0035] S43: Optimize resource allocation to maximize the effectiveness of emergency response;

[0036] S44: Integrate risk assessment, response priorities, and resource optimization to generate the final emergency response plan.

[0037] As a preferred solution of the engineering digital management method based on the BIM model described in the present invention, the risk score expression is:

[0038]

[0039] Among them, D j is a set of document information related to risk, S is a set of design specifications, and w i is the weight of different risk categories, Prob(r i ) and Impact(r i ) are the probability and impact of the ith risk respectively;

[0040] The priority of the emergency response is expressed as:

[0041]

[0042] Among them, β k is the resource allocation weight of the kth emergency response measure, and M is the number of all emergency measures;

[0043] The effectiveness maximization of the emergency response can be expressed as:

[0044]

[0045] Among them, ε k is the expected effect of the kth emergency response measure;

[0046] C k (t) is the cost of the kth emergency response measure.

[0047] As a preferred solution of the engineering digital management method based on the BIM model described in the present invention, the final emergency response plan is expressed as;

[0048]

[0049] This value reflects the effectiveness score of a comprehensive emergency response plan. The higher the score, the better the emergency response plan generated by the system is under limited resources.

[0050] A BIM-based engineering digital management platform, comprising:

[0051] The BIM model construction and management module supports the creation, import, and editing of BIM models for engineering projects. Users can import project documents such as design drawings, construction specifications, and material lists into the platform and associate them with various components in the BIM model.

[0052] Intelligent document management and semantic analysis module performs semantic analysis on imported project documents, automatically extracts key information, and intelligently associates this information with relevant components in the BIM model;

[0053] The virtual reality and augmented reality modules build virtual construction scenarios based on BIM models linked to document information. This allows project parties to conduct virtual drills, check construction steps, and identify potential problems before construction begins. The AR function helps on-site construction personnel obtain real-time construction guidance and regulatory requirements.

[0054] Real-time monitoring and sensor integration module integrates on-site sensors to monitor various parameters during project implementation in real time and transmits this data to the platform for analysis in real time;

[0055] The emergency response plan generation and simulation module automatically generates an emergency response plan based on the design specifications and document information in the BIM model when potential disaster risks are detected.

[0056] A computer device includes a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of the above-mentioned engineering digital management method based on the BIM model are implemented.

[0057] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned engineering digital management method based on the BIM model.

[0058] Beneficial effects of the present invention:

[0059] This paper proposes a digital engineering management platform and management method based on the BIM model. By introducing intelligent document management strategies, VR / AR technology, real-time monitoring and emergency response generation algorithms, it solves the problems of low intelligence in information management, insufficient support for virtual construction, and delayed emergency response in existing technologies. Specifically, it includes:

[0060] 1. Improve the intelligence of information management: Through semantic analysis and natural language processing technology, key information of documents is automatically extracted and intelligently bound to the BIM model, realizing the automation and precision of information management;

[0061] 2. Enhanced virtual guidance capabilities during the construction process: Using VR / AR technology to create immersive construction scenes and real-time on-site guidance significantly improves the collaboration efficiency of all parties involved in the project and reduces errors and risks during construction.

[0062] 3. Realize real-time emergency response: By combining BIM model data, risk assessment and resource optimization algorithms, emergency response plans are automatically generated, significantly improving the response speed and decision-making quality of emergencies, and ensuring the smooth implementation of the project. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort. Among them:

[0064] Figure 1 This is a flow chart of a method for digital engineering management based on a BIM model proposed by the present invention;

[0065] Figure 2 This is a schematic diagram of the expansion framework of the engineering digital management platform based on the BIM model proposed by the present invention;

[0066] Figure 3 This is a schematic diagram comparing the effects of a digital engineering management method based on the BIM model proposed in the present invention. DETAILED DESCRIPTION

[0067] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0068] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0069] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0070] Reference Figure 1-Figure 3 , as an embodiment of the present invention, provides a BIM model-based engineering digital management platform and a management method thereof, the method comprising the following steps:

[0071] Step 1: Build a BIM model for the project and import project-related documents, including design drawings, construction specifications, and material lists.

[0072] Build an intelligent archive management strategy, perform semantic analysis on imported project documents, and automatically extract key information including construction specifications, material requirements, and safety standards. This information is then bound to relevant components in the BIM model. For example, the installation instructions for a structural component can be automatically associated with the specific component node in the BIM model.

[0073] Specifically, the intelligent archive management strategy includes the following steps:

[0074] S11: Document D is analyzed through deep learning model i Perform semantic analysis to extract key information including construction specifications, material safety, and safety standards, and form an information set S(D i );

[0075] S12: Associate and bind the extracted relationship information set with the specific components in the BIM model and express it as a mapping function T(S(D i )); the mapping function T(S(D i )) is calculated as:

[0076]

[0077] Where C is the total number of components in the BIM model, γ C is the information weight associated with the component, Sim(S(D i ),M C ) is the similarity between the extracted information and the components.

[0078] And normalize it, record it as Φ(T(S(D i )));

[0079] The normalization function here, the normalization function Φ(x), ensures that the key information between different documents is consistent and comparable. This function can be defined based on min-max normalization;

[0080] Right now

[0081] S13: Evaluate the processing efficiency of the imported documents, that is, the overall efficiency of processing the kth group within time t is expressed as ψ(k,t);

[0082] The calculation formula of the overall efficiency ψ(k,t) is:

[0083]

[0084] Where Q(k) is the processing quality of the k-th group of documents, that is, the accuracy of the extracted information; P(k) is the processing volume of the k-th group of documents, that is, the number of document pages or the amount of information processed; α and β are coefficients that adjust the weights of the quality and processing volume; and δ is the time decay coefficient.

[0085] S14: Calculate and evaluate the semantic distance between documents to obtain a distance E;

[0086]

[0087] S5: Finally, all document processing and binding processes within the entire time period T are cumulatively calculated to obtain the total efficiency M of the association between the entire project document and the BIM model. A larger M value indicates a more efficient binding between the document information and the BIM model and a closer association. Conversely, a smaller value indicates a lower binding efficiency or a poorer association.

[0088]

[0089] Here, exp(-λ·t) represents the modeling time decay effect, that is, the efficiency of processing documents decreases over time.

[0090] Step 2: Based on the semantically analyzed and document-linked BIM model, an immersive construction scenario is constructed using virtual reality (VR) and augmented reality (AR) technologies. This scenario allows project parties to conduct virtual pre-construction drills, review construction steps, and identify potential issues. Using AR equipment, on-site construction personnel can access relevant construction guidance and regulatory requirements in real time, ensuring that actual operations comply with project standards.

[0091] Step 3: Continuously perform semantic analysis on new documents and automatically update relevant information in the BIM model;

[0092] Step 4: Use sensors to monitor disaster risks during the project implementation phase. Once potential disaster risks are detected, corresponding emergency response plans are automatically generated based on the design specifications and document information in the BIM model. Managers can also use VR equipment to rehearse emergency plans in advance and optimize personnel scheduling and operational processes.

[0093] Furthermore, the specific method for generating the corresponding emergency response plan is:

[0094] S41: Assess the severity and likelihood of potential disaster risks and generate corresponding risk scores based on document information;

[0095] The risk score expression is:

[0096]

[0097] Among them, Dj is a set of document information related to risk, S is a set of design specifications, and w i is the weight of different risk categories, Prob(r i ) and Impact(r i ) are the probability and impact of the ith risk, respectively.

[0098] S42: Calculate the priorities of different emergency response measures, combining risk assessment results and resource allocation;

[0099] The priority of the emergency response is expressed as:

[0100]

[0101] Among them, β k is the resource allocation weight of the kth emergency response measure, and M is the number of all emergency measures.

[0102] S43: Optimize resource allocation to maximize the effectiveness of emergency response;

[0103] The effectiveness maximization of the emergency response can be expressed as:

[0104]

[0105] Among them, ε k is the expected effect of the kth emergency response measure;

[0106] C k (t) is the cost of the kth emergency response measure.

[0107] S44: Comprehensive risk assessment, response priorities, and resource optimization to generate the final emergency response plan.

[0108] The final emergency response plan is expressed as;

[0109]

[0110] This value reflects the effectiveness score of a comprehensive emergency response plan. The higher the score, the better the emergency response plan generated by the system is under limited resources.

[0111] Combine Figure 3We can see that, in the context of the present invention, the algorithm optimization effect comparison chart is used to demonstrate the differences in key performance indicators between the traditional method and the method of the present invention. Through the visualization effect of the comparison chart, it can be clearly seen that the BIM model management and emergency response generation algorithm introduced by the present invention has significant advantages in efficiency, error reduction, response time, etc. Specifically, the traditional method: the efficiency score is 50, indicating that the traditional method is less efficient when managing BIM models and generating emergency response plans due to the limitations of manual operations and information extraction processes. The method of the present invention: the efficiency score is 80, which shows that after applying natural language processing (NLP), deep learning models, and automated semantic analysis and information binding technology, the efficiency of the overall management process has been greatly improved.

[0112] The traditional method has an error reduction score of 30. In the traditional method, due to manual operation and inaccurate information processing, a high error rate is easily generated. The method of the present invention has an error reduction score of 10. Thanks to the automated information extraction and association technology, errors caused by manual operation are reduced, making the system more reliable.

[0113] Traditional methods: Response time score of 40. The traditional emergency response plan generation process is time-consuming, especially in complex disaster scenarios, where manual assessment and decision-making slows down response speed. Inventive methods: Response time score of 20. The intelligent algorithm introduced in this invention automates steps such as risk assessment, priority calculation, and resource allocation, significantly shortening overall response time and rapidly generating efficient emergency response plans.

[0114] The present invention also discloses a BIM model-based engineering digital management platform, which includes:

[0115] The BIM model construction and management module supports the creation, import, and editing of BIM models for engineering projects. Users can import project documents such as design drawings, construction specifications, and material lists into the platform and associate them with various components in the BIM model.

[0116] Intelligent document management and semantic analysis module performs semantic analysis on imported project documents, automatically extracts key information, and intelligently associates this information with relevant components in the BIM model;

[0117] The virtual reality and augmented reality modules build virtual construction scenarios based on BIM models linked to document information. This allows project parties to conduct virtual drills, check construction steps, and identify potential problems before construction begins. The AR function helps on-site construction personnel obtain real-time construction guidance and regulatory requirements.

[0118] Real-time monitoring and sensor integration module integrates on-site sensors to monitor various parameters during project implementation in real time and transmits this data to the platform for analysis in real time;

[0119] The emergency response plan generation and simulation module automatically generates an emergency response plan based on the design specifications and document information in the BIM model when potential disaster risks are detected.

[0120] This embodiment also provides a computer device, which is suitable for a BIM model-based engineering digital management platform and a management method thereof, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement a BIM model-based engineering digital management platform and a management method thereof as proposed in the above embodiment.

[0121] The computer device may be a terminal, comprising a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device comprises a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner may be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a button, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse.

[0122] This embodiment also provides a storage medium having a computer program stored thereon, which, when executed by a processor, implements a BIM model-based engineering digital management platform and a management method thereof as proposed in the above embodiment; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0123] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A digital engineering management method based on BIM model, characterized in that: The following steps are involved: Step 1: Build the BIM model of the project and import project-related documents; Build an intelligent archive management strategy to perform semantic analysis on imported project documents, automatically extract key information, and bind this information to relevant components in the BIM model; Step 2: Based on the BIM model that has undergone semantic analysis and associated document information, use virtual reality (VR) and augmented reality (AR) technologies to build an immersive construction scene; Step 3: Continuously perform semantic analysis on new documents and automatically update relevant information in the BIM model; Step 4: Use sensors to monitor disaster risks during the project implementation phase. Once a potential disaster risk is detected, an emergency response plan is automatically generated based on the design specifications and document information in the BIM model. Managers can also use VR equipment to rehearse the emergency plan in advance, optimizing personnel scheduling and operational processes. The intelligent archive management strategy includes the following steps: S11: Documents using deep learning models Perform semantic analysis to extract key information including construction specifications, material safety, and safety standards, and form an information set ; S12: Associate and bind the extracted relationship information set with the specific components in the BIM model and express it as a mapping function ; and normalize it, recorded as ; S13: Evaluate the processing efficiency of the imported documents, that is, the overall efficiency of processing the kth group within time t is expressed as ; S14: Calculate and evaluate the semantic distance between documents to obtain the distance ; ； S15: Finally, all document processing and binding processes within the entire time period T are cumulatively calculated to obtain the total efficiency M of the association between the entire project document and the BIM model; in, Represents the modeling time decay effect, where the efficiency of processing documents decreases over time; The overall efficiency The calculation formula is: = ； in, is the processing quality of the kth group of documents, that is, the accuracy of the extracted information, is the processing volume of the kth group of documents, that is, the number of document pages or information volume processed, α and β are coefficients for adjusting the weights of quality and processing volume, and δ is the time decay coefficient.

2. The engineering digital management method based on the BIM model according to claim 1, characterized in that: The mapping function The calculation formula is: ； Where C is the total number of components in the BIM model, is the information weight associated with the component, is the similarity between the extracted information and the components.

3. The engineering digital management method based on the BIM model according to claim 2 is characterized by: During step 4, the specific method for generating the corresponding emergency response plan is as follows: S41: Assess the severity and likelihood of potential disaster risks and generate corresponding risk scores based on document information; S42: Calculate the priorities of different emergency response measures, combining risk assessment results and resource allocation; S43: Optimize resource allocation to maximize the effectiveness of emergency response; S44: Integrate risk assessment, response priorities, and resource optimization to generate the final emergency response plan.

4. The engineering digital management method based on the BIM model according to claim 3 is characterized by: The risk score expression is: ； in, is a set of document information related to the risk, S is a set of design specifications, are the weights of different risk categories, and are the probability and impact of the ith risk respectively; The priority of the emergency response is expressed as: ； in, is the resource allocation weight of the k-th emergency response measure, is the number of all emergency measures; The effectiveness maximization of the emergency response can be expressed as: ； in, is the expected effect of the kth emergency response measure; is the cost of the k-th emergency response measure.

5. The engineering digital management method based on the BIM model according to claim 4 is characterized in that: The final emergency response plan is expressed as; ； This value reflects the effectiveness score of a comprehensive emergency response plan. The higher the score, the better the emergency response plan generated by the system is under limited resources.

6. A BIM-based engineering digital management platform, according to the BIM-based engineering digital management method of claim 5, characterized in that: The platform includes: The BIM model construction and management module supports the creation, import, and editing of BIM models for engineering projects. Users can import project documents such as design drawings, construction specifications, and material lists into the platform and associate them with various components in the BIM model; Intelligent document management and semantic analysis module performs semantic analysis on imported project documents, automatically extracts key information, and intelligently associates this information with relevant components in the BIM model; The virtual reality and augmented reality modules build virtual construction scenarios based on BIM models linked to document information. This allows project parties to conduct virtual rehearsals, check construction steps, and identify potential problems before construction begins. The AR function helps on-site construction personnel obtain real-time construction guidance and regulatory requirements. Real-time monitoring and sensor integration module, integrating on-site sensors, real-time monitoring of various parameters during project implementation, and transmitting this data to the platform for analysis in real time; The emergency response plan generation and simulation module automatically generates an emergency response plan based on the design specifications and document information in the BIM model when potential disaster risks are detected.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the engineering digital management method based on the BIM model are implemented as described in any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a BIM model-based engineering digital management method according to any one of claims 1 to 5 are implemented.

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