Building construction data acquisition method and system based on BIM model
Through the BIM model-based construction data acquisition method and combined with the optimization of genetic algorithms, the problem of inaccurate construction data acquisition in the existing technology is solved, dynamic updates and resource optimization of construction data are achieved, and the intelligence level and overall efficiency of construction management are improved.
Patent Information
- Application Number
- CN202510484077.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-17
- Publication Date
- 2025-05-13
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing construction data acquisition methods have shortcomings in the real-time, accuracy and comprehensiveness of data acquisition, and lack deep integration with the BIM model, resulting in the inability to fully correlate different data in construction management and the inability to achieve dynamic updates and optimization during construction.
Using the BIM model-based building construction data acquisition method, we use the BIM model to establish a construction data frame, determine the data type and acquisition point, generate building construction data, and associate it with the BIM model to achieve dynamic updates. Genetic algorithms are used to optimize the allocation of construction resources, evaluate compliance, quality and safety during the construction process, and optimize the quality, time and cost of construction.
It improves the precision of data preprocessing, ensures the accuracy and comprehensiveness of deformation monitoring, realizes real-time and reliable updates of construction data, provides intelligent decision-making support for construction management, improves construction quality and efficiency, and reduces costs.
Smart Images

Figure CN119988400A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of building construction, and in particular to a building construction data acquisition method and system based on a BIM model. Background Art
[0002] Construction management has always been one of the most challenging areas in the construction industry. With the rapid development of Building Information Modeling (BIM) technology, BIM technology has gradually been widely used in the design, construction and operation stages of buildings. BIM technology can accurately describe the physical and functional characteristics of construction projects in a digital way, helping construction engineers, designers and construction personnel to better plan and manage projects. However, although BIM technology provides very accurate and rich building information, how to use this information to efficiently collect, analyze and optimize construction data in the actual construction process is still a problem that needs to be solved.
[0003] At present, construction data collection usually relies on manual or traditional sensor monitoring equipment. These methods have major problems in terms of real-time, accuracy and comprehensiveness of data collection. For example, the frequency and accuracy of data collection cannot be synchronized with the construction progress, resulting in some deviations in the construction process being difficult to detect and correct in the early stages. In addition, existing construction data management systems often lack deep integration with BIM models, resulting in the inability to fully associate different data in construction management and to achieve dynamic updates and optimizations during the construction process. Summary of the invention
[0004] The technical problem to be solved by the present invention is to provide a method and system for collecting building construction data based on a BIM model, which can improve the precision of data preprocessing to ensure the accuracy and comprehensiveness of deformation monitoring.
[0005] In order to solve the above technical problems, the technical solution of the present invention is as follows: In a first aspect, a method for collecting building construction data based on a BIM model comprises: Use the BIM model to establish a construction data framework, and determine the data types and collection points that need to be collected during construction based on the BIM model; Generate building construction data by collecting data from collection points; Associating building construction data with BIM models to generate dynamic updates of building construction data; Compare and analyze the construction data with the preset information in the BIM model, evaluate the compliance, quality and safety of the construction process, and obtain the analysis results. By using genetic algorithms, the quality, time and cost of the construction are optimized. The specific steps are as follows: Construct an initial population, which includes multiple individuals, and define each individual to represent a construction resource scheduling; A fitness function for evaluating the quality of each individual is defined, and a fitness value of each individual is calculated according to the fitness function; According to the fitness value of each individual, excellent individuals are selected to enter the next generation, and new individuals are obtained through crossover and mutation operations; By performing multiple iterative optimizations on the new individuals, an optimized construction resource configuration is generated;
[0006] Generate construction reports through optimization of genetic algorithms.
[0007] Furthermore, the BIM model is used to establish a construction data framework. According to the BIM model, the data types and collection points that need to be collected for construction are determined, including: Use the BIM model to establish a construction data framework and determine the BIM model type; Use the tools and functions of BIM software to analyze the model and identify the relationships between building components, equipment and systems in the model to obtain identified data; Classifying the identified data to obtain classified data; According to the classified data, collection points are set in the building components; Use markers to identify collection points.
[0008] Furthermore, by collecting data from the collection points, building construction data is generated, including: According to the type of collection point and data collection requirements, the required data is collected to obtain the collected data; Store the data in a database; Check and verify data to determine its completeness and accuracy; Clean and preprocess the verified data; Formatting and transforming the preprocessed data to obtain preprocessed data; Analyze the preprocessed data using data analysis methods; Extract the analyzed data to extract construction information, which includes indicators and data related to construction progress, construction quality, construction safety and construction cost, so as to obtain extracted data; The extracted data is used to generate a construction icon to obtain the construction data.
[0009] Furthermore, the construction data is associated with the BIM model to generate dynamic updates of the construction data, including: Integrate building construction data with component information in the BIM model to obtain updated data; By using the update data transmission and synchronization mechanism, the real-time update of construction data is ensured, and real-time update data is obtained; By updating data changes in real time, component information in the BIM model will be dynamically adjusted and updated.
[0010] Furthermore, the construction data is compared and analyzed with the preset information in the BIM model to evaluate the compliance, quality and safety of the construction process to obtain analysis results, including: Make sure that all preset information is included in the BIM model; Verify the BIM model to ensure that the preset information in the model is accurate; Compare the preset information in the BIM model with the building construction data item by item, including construction progress, material usage and equipment operation, and obtain the comparison results; By comparing and analyzing the structure, we can identify deviations and problems in the construction process, evaluate their impact on compliance, quality and safety, and obtain analysis results.
[0011] Furthermore, the genetic algorithm is used to optimize the resource allocation of construction, and the process is as follows: Initialize the population, which includes multiple individuals, and define the construction plan for the genome of each individual; The fitness function for evaluating the pros and cons of the construction scheme is used to calculate the pros and cons of the construction scheme to obtain the appropriate value; According to the ratio of each individual's fitness value to the total fitness of the entire population, individuals with high fitness values are selected; Combine the genes of two individuals with high fitness values, and randomly change the genes of one individual during the gene combination process to obtain a new gene combination; The new gene combination will be iteratively optimized to obtain the final solution.
[0012] In a second aspect, a construction data acquisition system based on a BIM model includes: The data establishment module uses the BIM model to establish a construction data framework and determines the data types and collection points that need to be collected during construction based on the BIM model; The data collection module generates building construction data by collecting data from collection points; Data association module, which associates building construction data with BIM models and generates dynamic updates of building construction data; The analysis module compares and analyzes the construction data with the preset information in the BIM model, evaluates the compliance, quality and safety of the construction process, obtains analysis results, and optimizes the quality, time and cost of construction by citing genetic algorithms;
[0013] The optimization module generates construction reports through optimization using genetic algorithms.
[0014] According to a third aspect, a computing device includes: one or more processors; The storage device is used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the system.
[0015] In a fourth aspect, a computer-readable storage medium stores a program, and the program implements the system when executed by a processor.
[0016] The above scheme of the present invention includes at least the following beneficial effects.
[0017] Building a construction data framework based on the BIM model can accurately determine the data type and collection point, ensure the comprehensive and accurate collection of construction data, and achieve association and dynamic update with the BIM model, providing real-time and reliable data support for construction management. By comparing and analyzing the construction data with the preset information of the BIM model, it can comprehensively evaluate the compliance, quality and safety of the construction process, promptly identify deviations and problems, and ensure the smooth progress of construction.
[0018] Genetic algorithms are used to optimize the allocation of construction resources. By building an initial population, defining fitness functions, selecting excellent individuals, cross-mutation operations, and iterative optimization, the optimized construction resource configuration is generated, which effectively improves construction quality and efficiency and reduces costs. The system uses a comprehensive application of BIM models and genetic algorithms to achieve an integrated process of data collection, analysis, optimization, and report generation, providing intelligent decision-making support for construction management and helping construction companies improve their overall management level. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] Figure 1 It is a flow chart of a method for collecting building construction data based on a BIM model provided by an embodiment of the present invention.
[0020] Figure 2 It is a schematic diagram of a building construction data acquisition system based on a BIM model provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0021] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.
[0022] like Figure 1 As shown, an embodiment of the present invention proposes a method for collecting building construction data based on a BIM model, the method comprising the following steps: Use the BIM model to establish a construction data framework, and determine the data types and collection points that need to be collected during construction based on the BIM model; Generate building construction data by collecting data from collection points; Associating building construction data with BIM models to generate dynamic updates of building construction data; Compare and analyze the construction data with the preset information in the BIM model, evaluate the compliance, quality and safety of the construction process, and obtain the analysis results. By using genetic algorithms, the quality, time and cost of the construction are optimized. The specific steps are as follows: Construct an initial population, which includes multiple individuals, and define each individual to represent a construction resource scheduling; Define a fitness function for evaluating the quality of each individual, and calculate the fitness value of each individual according to the fitness function; the fitness function calculation formula is: ; in, Indicates The feature vector of each individual; represents the slope parameter; Indicates The weight of each feature; represents the frequency parameter of the sine function; Indicates The coefficients of the sine terms; Indicates The coefficient of the absolute value term; Indicates The coefficient of the denominator term; represents the sine value; represents the base of natural logarithms; The number of weights representing the features; represents the number of sinusoidal terms; represents the total number of absolute value items; Represents the total number of denominator terms.
[0023] According to the fitness value of each individual, excellent individuals are selected to enter the next generation, and new individuals are obtained through crossover and mutation operations; By performing multiple iterative optimizations on the new individuals, an optimized construction resource configuration is generated;
[0024] Generate construction reports through optimization of genetic algorithms.
[0025] In an embodiment of the present invention, a construction data framework is established through a BIM model, and the data type and collection points that need to be collected can be accurately determined. By comparing and analyzing the construction data with the preset information in the BIM model, the compliance, quality and safety of the construction process can be evaluated in real time. The application of genetic algorithms in construction resource scheduling can select the most appropriate resource allocation scheme according to the pros and cons of each scheme by constructing an initial population and defining a fitness function. The genetic algorithm optimizes the scheduling scheme of construction resources through crossover and mutation operations, which can reduce construction time and resource waste while ensuring construction quality, thereby reducing project costs. The construction report generated through the results of genetic algorithm optimization and data analysis provided by the BIM model provides comprehensive decision-making support for project managers.
[0026] In a preferred embodiment of the present invention, a construction data framework is established using a BIM model, and the data types and collection points required for construction are determined according to the BIM model, including: Use the BIM model to establish a construction data framework and determine the BIM model type; Use the tools and functions of BIM software to analyze the model and identify the relationships between building components, equipment and systems in the model to obtain identified data; Classifying the identified data to obtain classified data; According to the classified data, collection points are set in the building components; Use markers to identify collection points.
[0027] In an embodiment of the present invention, by determining the BIM model type and using the analysis tools of the BIM software to identify the relationships between building components, equipment and systems, it is possible to accurately extract various types of information in the model, classify the identified data, and systematically manage different types of building components, equipment and system data to ensure that the data is tracked and utilized in an orderly manner during the construction process. By setting collection points in the building components and identifying them with marks, it is possible to ensure that key data points in the construction process are accurately recorded. The classified data and marked collection points can be combined with other construction management systems or intelligent algorithms to support decisions such as construction plan optimization, quality control and resource allocation.
[0028] In a preferred embodiment of the present invention, the building construction data is generated by collecting data from the collection points, including: According to the type of collection point and data collection requirements, the required data is collected to obtain the collected data; Store the data in a database; Check and verify data to determine its completeness and accuracy; Clean and preprocess the verified data; Formatting and transforming the preprocessed data to obtain preprocessed data; Analyze the preprocessed data using data analysis methods; Extract the analyzed data to extract construction information, which includes indicators and data related to construction progress, construction quality, construction safety and construction cost, so as to obtain extracted data; The extracted data is used to generate a construction icon to obtain the construction data.
[0029] In an embodiment of the present invention, data is stored in a database to facilitate centralized management and efficient access, and data is checked and verified to ensure data integrity and accuracy. Data cleaning and preprocessing ensure data consistency and standardization, remove irrelevant or duplicate data, and improve data quality. Preprocessed data is analyzed by data analysis methods to extract valuable information. The extracted data can be visualized through building construction icons to provide construction managers with intuitive charts and indicators. By collating, analyzing, extracting various types of construction data and presenting them in the form of icons, it can help construction parties make more scientific decisions in project management, reduce errors, delays and cost waste in the construction process, thereby improving construction efficiency and reducing risks.
[0030] In a preferred embodiment of the present invention, the building construction data is associated with the BIM model to generate dynamic updates of the building construction data, including: Integrate building construction data with component information in the BIM model to obtain updated data; By using the update data transmission and synchronization mechanism, the real-time update of construction data is ensured, and real-time update data is obtained; By updating data changes in real time, component information in the BIM model will be dynamically adjusted and updated.
[0031] In an embodiment of the present invention, the construction data is integrated with the component information in the BIM model so that any construction progress or changes can be reflected in the BIM model in a timely manner, which ensures the synchronous updating of data and model. The real-time updating of data ensures that all parties can obtain the most accurate information in real time through the transmission and synchronization mechanism. As the real-time data changes, the component information in the BIM model will be dynamically adjusted to reflect the actual situation in the construction process. Through the real-time updated construction data, the project manager can keep abreast of the latest status of the project and promptly discover problems and risks in the construction. The integrated data and model provide a common reference platform for the project team, and all members can communicate and collaborate based on the same data and model.
[0032] In a preferred embodiment of the present invention, the building construction data is compared and analyzed with the preset information in the BIM model to evaluate the compliance, quality and safety of the construction process to obtain analysis results, including: Make sure that all preset information is included in the BIM model; Verify the BIM model to ensure that the preset information in the model is accurate; Compare the preset information in the BIM model with the building construction data item by item, including construction progress, material usage and equipment operation, and obtain the comparison results; By comparing and analyzing the structure, we can identify deviations and problems in the construction process, evaluate their impact on compliance, quality and safety, and obtain analysis results.
[0033] In the embodiment of the present invention, by verifying the preset information in the BIM model, ensuring that all data and parameters are accurate, and comparing the preset information in the BIM model with the construction data item by item, it is helpful to confirm whether the project is carried out according to the predetermined plan and specifications during implementation. By comparing and analyzing the deviations that may occur during the construction process, problems in the construction process can be identified early. By analyzing the impact of the deviations on compliance, quality and safety, the project team can assess the severity of the problem and make corresponding adjustments. The comparison and analysis results provide accurate project status feedback to project managers and decision makers, which helps to make more reasonable adjustments and decisions. By comparing and analyzing the data, non-conformities in construction can be effectively identified, and rework, material waste and time delays caused by errors and deviations can be reduced, thereby improving construction efficiency and reducing project costs.
[0034] In a preferred embodiment of the present invention, a genetic algorithm is used to optimize resource allocation for construction, and the process is as follows: Initialize the population, which includes multiple individuals, and define the construction plan for the genome of each individual; The fitness function for evaluating the pros and cons of the construction scheme is used to calculate the pros and cons of the construction scheme to obtain the appropriate value; According to the ratio of each individual's fitness value to the total fitness of the entire population, individuals with high fitness values are selected; Combine the genes of two individuals with high fitness values, and randomly change the genes of one individual during the gene combination process to obtain a new gene combination; The new gene combination will be iteratively optimized to obtain the final solution.
[0035] In an embodiment of the present invention, by initializing a population of multiple individuals (construction plans) and evaluating the pros and cons of each plan through a fitness function, a variety of potential construction plans can be effectively covered. According to the ratio of the individual fitness value to the total fitness of the population, individuals with high fitness are preferentially selected for inheritance, which can accelerate the search for optimal or near-optimal construction plans, improve decision-making efficiency, and reduce unnecessary waste of time. By combining the genes of two high-quality individuals and randomly mutating some genes, new potential construction plans can be generated. In the iterative optimization process, with the evolution of each generation, new gene combinations gradually replace old plans, continuously improving the overall pros and cons of construction plans, and ensuring that construction plans are constantly approaching the optimal solution. The process of optimizing construction plans using genetic algorithms has a high level of automation, reducing the need for manual intervention. Through the optimized construction plan, not only can the construction efficiency be improved, but also the waste of resources can be reduced, and materials and equipment can be reasonably allocated, thereby effectively reducing costs and ensuring that the construction progress is completed on time.
[0036] like Figure 2 As shown, an embodiment of the present invention further provides a building construction data acquisition system based on a BIM model, comprising: The data establishment module uses the BIM model to establish a construction data framework and determines the data types and collection points that need to be collected during construction based on the BIM model; The data collection module generates building construction data by collecting data from collection points; Data association module, which associates building construction data with BIM models and generates dynamic updates of building construction data; The analysis module compares and analyzes the construction data with the preset information in the BIM model, evaluates the compliance, quality and safety of the construction process, obtains analysis results, and optimizes the quality, time and cost of construction by citing genetic algorithms;
[0037] The optimization module generates construction reports through optimization using genetic algorithms.
[0038] It should be noted that the system is a system corresponding to the above method, and all implementation methods in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.
[0039] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.
Claims
1. A method for collecting construction data based on a BIM model, characterized in that: include: Use the BIM model to establish a construction data framework, and determine the data types and collection points that need to be collected during construction based on the BIM model; Generate building construction data by collecting data from collection points; Associating building construction data with BIM models to generate dynamic updates of building construction data; Compare and analyze the construction data with the preset information in the BIM model, evaluate the compliance, quality and safety of the construction process, and obtain the analysis results. By using genetic algorithms, the quality, time and cost of the construction are optimized. The specific steps are as follows: Construct an initial population, which includes multiple individuals, and define each individual to represent a construction resource scheduling; A fitness function for evaluating the quality of each individual is defined, and a fitness value of each individual is calculated according to the fitness function; According to the fitness value of each individual, excellent individuals are selected to enter the next generation, and new individuals are obtained through crossover and mutation operations; By performing multiple iterative optimizations on the new individuals, an optimized construction resource configuration is generated; Generate construction reports through optimization of genetic algorithms.
2. The method for collecting construction data based on the BIM model according to claim 1, characterized in that: Use the BIM model to establish a construction data framework. According to the BIM model, determine the data types and collection points that need to be collected for construction, including: Use the BIM model to establish a construction data framework and determine the BIM model type; Use the tools and functions of BIM software to analyze the model and identify the relationships between building components, equipment and systems in the model to obtain identified data; Classifying the identified data to obtain classified data; According to the classified data, collection points are set in the building components; Use markers to identify collection points.
3. The method for collecting construction data based on the BIM model according to claim 2 is characterized in that: By collecting data from the collection points, construction data is generated, including: According to the type of collection point and data collection requirements, the required data is collected to obtain the collected data; Store the data in a database; Check and verify data to determine its completeness and accuracy; Clean and preprocess the verified data; Formatting and transforming the preprocessed data to obtain preprocessed data; Analyze the preprocessed data using data analysis methods; Extract the analyzed data to extract construction information, which includes indicators and data related to construction progress, construction quality, construction safety and construction cost, so as to obtain extracted data; The extracted data is used to generate a construction icon to obtain the construction data.
4. The method for collecting construction data based on the BIM model according to claim 3 is characterized in that: Associating construction data with BIM models to generate dynamic updates of construction data, including: Integrate building construction data with component information in the BIM model to obtain updated data; By using the update data transmission and synchronization mechanism, the real-time update of construction data is ensured, and real-time update data is obtained; By updating data changes in real time, component information in the BIM model will be dynamically adjusted and updated.
5. The method for collecting construction data based on the BIM model according to claim 4 is characterized in that: Compare and analyze construction data with preset information in the BIM model to evaluate the compliance, quality and safety of the construction process to obtain analysis results, including: Make sure that all preset information is included in the BIM model; Verify the BIM model to ensure that the preset information in the model is accurate; Compare the preset information in the BIM model with the building construction data item by item, including construction progress, material usage and equipment operation, and obtain the comparison results; By comparing and analyzing the structure, we can identify deviations and problems in the construction process, evaluate their impact on compliance, quality and safety, and obtain analysis results.
6. The method for collecting construction data based on the BIM model according to claim 5 is characterized in that: The process of optimizing resource allocation for construction by using genetic algorithm is as follows: Initialize the population, which includes multiple individuals, and define the construction plan for the genome of each individual; The fitness function for evaluating the pros and cons of the construction scheme is used to calculate the pros and cons of the construction scheme to obtain the appropriate value; According to the ratio of each individual's fitness value to the total fitness of the entire population, individuals with high fitness values are selected; Combine the genes of two individuals with high fitness values, and randomly change the genes of one individual during the process of combining the genes to obtain a new gene combination; The new gene combination will be iteratively optimized to obtain the final solution.
7. A construction data acquisition system based on BIM model, characterized in that: Applied to the method according to any one of claims 1 to 6, comprising: The data establishment module uses the BIM model to establish a construction data framework and determines the data types and collection points that need to be collected during construction based on the BIM model; The data collection module generates building construction data by collecting data from collection points; Data association module, which associates building construction data with BIM models and generates dynamic updates of building construction data; The analysis module compares and analyzes the construction data with the preset information in the BIM model, evaluates the compliance, quality and safety of the construction process, obtains analysis results, and optimizes the quality, time and cost of construction by citing genetic algorithms; The optimization module generates construction reports through optimization using genetic algorithms.
8. A computing device, characterized in that include: one or more processors; A storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, the one or more processors implement the system as claimed in claim 7.
9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a program, and when the program is executed by a processor, the system according to claim 7 is implemented.
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