Progress and resource management linkage application system based on BIM

Abstract

The invention provides a progress and resource management linkage application system based on BIM, relates to the technical field of building management, and is suitable for full life cycle management of design, construction and operation of a building. The system comprises a demand modeling module, an intelligent equipment optimization module, a collision detection and progress optimization module, a multi-professional data integration and real-time simulation module, a building full-life-cycle intelligent management module and the like. By optimizing arrangement and streamline design of equipment, the space utilization rate and the medical service efficiency are improved; in the construction stage, a collision detection function and a digital twinning technology of the BIM are utilized to realize multi-specialty collaborative design and progress optimization; in the operation stage, the operation state of the equipment is monitored in real time in combination with an Internet of Things sensor, a preventive maintenance plan is generated, and energy consumption management is optimized through energy consumption data analysis. The system improves the design precision and construction efficiency of the building and the intelligent level of equipment management and operation maintenance, and has a wide application prospect.

Description

Technical Field

[0001] The present invention relates to the technical field of building management, and in particular to a BIM-based progress and resource management linkage application system. Background Art

[0002] As construction projects continue to grow in complexity, project management demands increasingly stringent coordination of construction progress control and resource allocation. Building Information Modeling (BIM), a digital method for integrating design, construction, and operations information, has been widely adopted in the management of the entire construction process. BIM models enable visualization of building components, construction sequences, and timelines, effectively improving information sharing efficiency among project participants.

[0003] However, existing BIM systems mostly focus on the centralized management and display of design information, with limited support for dynamic progress control and resource coordination during the construction phase. On the one hand, construction schedules and BIM models are often independently developed by different systems or personnel, lacking effective linkage, leading to deviations between on-site construction and the planned model. On the other hand, resource information such as materials, equipment, and labor is difficult to automatically associate with progress tasks, resulting in delayed resource allocation responses or redundant waste. Furthermore, traditional planning management methods often rely on manual updates and spreadsheet tools, resulting in long information update cycles and lagging feedback mechanisms, making it difficult to support the real-time management needs of large-scale projects in a dynamically changing environment.

[0004] Therefore, there is an urgent need to build a BIM-based progress and resource management linkage application system to break through data barriers and realize a two-way management mechanism in which progress drives resource allocation and resources constrain construction rhythm, so as to improve the overall collaborative efficiency and execution accuracy of engineering projects. Summary of the Invention

[0005] The purpose of the present invention is to address the deficiencies of the existing technology and provide a BIM-based progress and resource management linkage application system to solve the problems raised in the background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions: A BIM-based progress and resource management linkage application system, including: Demand modeling module: Based on the functional requirements of the building, including space layout, equipment layout, purification system, and energy consumption, BIM software is used to generate an initial model and dynamically adjust the model; Intelligent equipment optimization module: optimizes equipment layout in the BIM model through genetic algorithms; Flow planning and optimization module: Combines the building's human flow, logistics and information flow data to conduct preliminary flow planning based on the BIM model; Clash Detection and Schedule Optimization Module: This module detects spatial conflicts among systems in the BIM model through geometric analysis, performs time-based conflict detection in conjunction with 4D-BIM simulation, and optimizes construction sequence and resource allocation in real time based on a construction schedule deviation calculation formula. Multi-disciplinary data integration and real-time simulation module: Integrates architectural, structural, electromechanical, piping, and equipment data into the BIM model, and uses real-time simulation technology to optimize construction and equipment layout; Building lifecycle intelligent management module: Utilizes the BIM model and IoT devices to monitor the building's operating status in real time, and intelligently manages equipment maintenance and energy consumption control through data collection and analysis; Energy consumption optimization module: It is used to collect energy consumption data based on sensors integrated into the BIM model, analyze energy consumption distribution through optimization algorithms, identify high-energy consumption areas and equipment, generate energy consumption optimization plans, and perform adjustments and feedback monitoring on the BIM platform to reduce overall energy consumption.

[0007] As a preferred technical solution of the present invention, the smart device optimization module includes: Equipment parameter model establishment: Based on the equipment's size, functional requirements, installation conditions, power consumption, and maintenance requirements, a mathematical model is established to represent the constraints on equipment layout and space utilization; Setting the objective function: The following optimization objective function is used to minimize the layout space and power consumption of the equipment: ; in, Representation device with other devices or spaces The distance between For devices Power consumption, The installation and maintenance costs of the equipment; Optimization algorithm: Use genetic algorithm to perform global optimization of equipment layout, which includes the following steps: Initial population generation: Generate an initial population for equipment layout. The individuals in the population represent different equipment layout plans. Fitness function calculation: Calculate the fitness value for each individual. The fitness function is based on the value of the objective function. The smaller the value, the better. Selection, crossover, and mutation operations: Generate a new generation of layout solutions through selection, crossover, and mutation operations of genetic algorithms; Iterative search: Find the global optimal equipment layout solution through iteration.

[0008] As a preferred technical solution of the present invention, the streamline planning and optimization module models the flow of people, goods, and information within the building and coordinates them with the layout of the equipment. Specifically, it includes the following: Streamline data modeling: Based on the spatial layout of the building and the equipment layout results after intelligent equipment optimization, an initial streamline model of human and material flow is established; Objective function setting: Minimize the path length of personnel and material flow, using the following optimization objective function: ; in, For streamline The importance weight of For streamline The actual length of the function area is assigned a weight based on the importance of the function area. Dynamic programming optimization: Dynamic programming algorithm is used to optimize the streamline model through iteration.

[0009] As a preferred technical solution of the present invention, the multi-disciplinary data integration and real-time simulation module includes: Data integration of building, structure, and electromechanical systems: Seamlessly integrate the data of building, structure, electromechanical, and piping systems through the BIM platform to form a globally visible 3D model, and achieve real-time data synchronization between disciplines in BIM; Application of digital twin technology: Use digital twin technology to achieve real-time linkage between construction sites and BIM models; On-site construction data is collected through IoT devices, compared and analyzed with the BIM model, and the model or construction plan is adjusted based on the differences.

[0010] As a preferred technical solution of the present invention, the collision detection and progress optimization module includes: Geometric collision detection: Through geometric analysis, it automatically detects spatial conflicts between pipelines, electromechanical equipment, and building structures in the BIM model and generates a conflict report; Time-based collision detection: Through 4D-BIM simulation of construction progress, potential conflicts caused by time sequence or process issues during construction can be detected; Optimization and adjustment: Adjust the design or construction plan based on the detected collision location and feedback from the construction site.

[0011] As a preferred technical solution of the present invention, the construction progress is optimized through collision detection and 4D-BIM simulation, which specifically includes: Construction progress deviation calculation: real-time tracking of construction progress and calculation of deviations from the plan: ; in, Deviation in construction progress. To plan the construction progress, The actual construction progress; Dynamic construction adjustment: When progress deviations occur, the construction sequence is adjusted in combination with the 4D-BIM model to optimize resource allocation.

[0012] As a preferred technical solution of the present invention, the building life cycle intelligent management module includes: Equipment status monitoring: Install sensors on key equipment in the building to collect real-time operating parameters of the equipment, including temperature, power consumption, vibration, and operating time data; Equipment health score calculation: The equipment health score is calculated using the following formula and used to generate equipment maintenance plans, namely: ; in, Score device health, is the total time period of equipment operation, For time The number of equipment failures that occur when For the device at time By analyzing the health status of the equipment, the remaining service life of the equipment can be determined.

[0013] As a preferred technical solution of the present invention, a predictive maintenance plan is generated by combining the health score of the equipment with historical operating data, including the following: Equipment maintenance cycle prediction: Based on the equipment's operating status and health score, predict the equipment's next maintenance time and automatically generate a maintenance plan; Early warning mechanism: When the equipment health score falls below the preset threshold, the system automatically triggers an early warning to remind you to perform necessary maintenance or replacement.

[0014] As a preferred technical solution of the present invention, the system adopts an automated preventive maintenance system based on BIM during the building operation and maintenance process, including the following steps: Equipment operation data collection: IoT sensors integrated into the BIM model collect real-time operating parameters of key equipment in the building, including temperature, vibration, energy consumption, and operating time; Preventive maintenance plan generation: Based on the collected data, combined with the historical data of equipment operation and maintenance records, a predictive model is used to automatically generate a preventive maintenance plan for the equipment; Automatic alarm and response: When the system detects abnormal equipment operation, it automatically issues a maintenance alarm through the BIM platform to remind maintenance personnel to respond in time.

[0015] As a preferred technical solution of the present invention, the energy consumption optimization module includes: Energy consumption data collection: Real-time energy consumption data of various building systems is collected through sensors integrated into the BIM model; Energy consumption analysis and optimization: Combined with the equipment layout and building structure data in the BIM model, we use optimization algorithms to analyze the building's energy consumption distribution, identify high-energy consumption areas and equipment, and generate energy consumption optimization plans; Optimization plan execution and feedback: Execute energy consumption optimization plans on the BIM platform to reduce the overall energy consumption of the building by automatically adjusting equipment operating parameters or optimizing equipment layout. At the same time, the optimization effect is monitored in real time through the feedback mechanism.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. The technical solution of this invention firstly achieves high efficiency in building design and construction through Building Information Modeling (BIM) technology. BIM technology enables precise representation of a building's spatial layout, structure, and equipment arrangement through 3D modeling during the design phase. Through multi-disciplinary collaborative design and clash detection, it avoids the errors and rework common in traditional design. This not only saves time and costs, but also improves design precision and construction accuracy, ensuring the functionality and practicality of medical facilities.

[0017] 2. This invention combines the intelligent equipment optimization module with the streamline planning and optimization module to achieve global optimization of equipment layout, personnel flow, and material distribution routes. Using genetic algorithms and dynamic programming methods, this reduces space waste, energy consumption, and logistics and personnel congestion, ensuring smooth internal building operations and rational resource utilization, thereby improving overall operational efficiency.

[0018] 3. The intelligent building lifecycle management module and energy optimization module in this invention utilize IoT sensors to collect real-time operational and energy consumption data. Combined with equipment health score calculations, predictive maintenance, and energy optimization strategies, this approach enables intelligent and automated operations and maintenance. This solution not only extends the lifespan of critical equipment and reduces failure rates, but also significantly reduces energy consumption by optimizing energy consumption distribution and operating parameters, thereby enhancing the building's sustainability and cost-effectiveness.

[0019] In summary, the solution of the present invention utilizes modular design to realize the informatization, intelligence and automation management of the entire process of design, construction and operation and maintenance, providing a comprehensive solution that is both efficient, economical and sustainable. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a system block diagram of a BIM-based progress and resource management linkage application system of the present invention; Figure 2 It is a flow chart of a BIM-based progress and resource management linkage application system of the present invention. DETAILED DESCRIPTION

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0022] The specific implementation of the present invention is described in detail below with reference to the accompanying drawings and multiple embodiments.

[0023] In order to better explain the embodiments of the present invention, the following describes in detail the BIM-based building construction method through several specific examples. Figure 1 and Figure 2 As shown, each embodiment covers the complete process.

[0024] Example 1: BIM-based building design and equipment layout optimization; In a new construction project of a large hospital building, the design team used BIM technology to carry out intelligent design and optimization of the building. First, based on the functional requirements of the building, the initial building information model (BIM) was created using BIM software. The model covers information such as the building's spatial layout, equipment layout, purification system, and energy consumption system. During the intelligent equipment optimization process, the design team optimized the layout of key equipment in the building (such as MRI equipment, surgical instruments, emergency equipment, etc.). The genetic algorithm was used to optimize multiple objectives such as the spatial location of the equipment, power consumption requirements, and maintenance convenience. The optimization objective function is: ; in, Representation device with other devices or spaces The distance between For equipment Power consumption, The installation and maintenance costs of the equipment.

[0025] Ultimately, the optimization results ensured efficient equipment layout within limited building space, while reducing energy consumption and maintenance costs.

[0026] Example 2: Planning and optimization of internal streamlines of a building; During the architectural design phase, the design team used BIM technology to plan streamlines based on the functional zoning and equipment layout within the building.

[0027] First, based on the building's spatial layout and equipment optimization results, the design team used BIM software to model the building's personnel flow and material distribution paths. To ensure the efficiency of medical processes, the design team applied dynamic programming algorithms to optimize the flow of personnel and logistics, minimize path lengths, and ensure the efficient operation of key processes such as emergency surgery. The objective function was: ; in, is the weight of the streamline, representing the priority of the streamline, is the actual length of the streamline.

[0028] Through optimization, the flow length between the operating room and the emergency area has been greatly shortened, which has improved the efficiency of medical services and reduced the transfer time of emergency patients.

[0029] Example 3: BIM-based construction and collision detection; During the construction phase, the construction team integrates multi-disciplinary data such as architecture, structure, electromechanical, piping, and equipment through the BIM model.

[0030] Through digital twin technology (DigitalTwin), the actual progress of the construction site is linked with the BIM model in real time to ensure that the construction process is consistent with the design.

[0031] During the construction process, the BIM model automatically detects spatial conflicts between piping, mechanical and electrical equipment, and building structures.

[0032] The system uses 4D-BIM technology to simulate construction progress and detect process conflicts caused by time sequence.

[0033] The construction team adjusted the construction plan based on the conflict report generated by the system, avoiding delays caused by process conflicts. Construction deviation is calculated using the following formula: ; Ultimately, real-time adjustments allowed the construction process to proceed smoothly, ensuring the building project was completed as planned.

[0034] Example 4: BIM-based building operations and automated maintenance: After the building is put into operation, the management team uses the BIM platform combined with IoT sensors to monitor the operating status of key equipment in the building in real time. Equipment includes the building's air conditioning system, purification system, surgical instruments, MRI equipment, etc. The system uses sensors to collect equipment operating data, such as temperature, vibration, power consumption, etc., and calculates the equipment's health score based on this data. The formula is: ; in, Score the health of the device. For time Number of equipment failures at The energy consumption of the equipment.

[0035] Based on the health score, the system automatically generates a preventive maintenance plan.

[0036] When it is detected that the equipment health score is lower than the set threshold, the system automatically issues an alarm through the BIM platform, notifying maintenance personnel to carry out timely maintenance to ensure that the building equipment remains efficient.

[0037] Example 5: BIM-based energy optimization: During building operations, the management team uses sensors integrated into the BIM model to collect real-time energy consumption data for various building systems, including HVAC, lighting, and various equipment. The system uses the equipment layout and building structure data in the BIM model to analyze energy consumption distribution in different areas and identify areas and equipment with high energy consumption.

[0038] The system then used an optimization algorithm to generate an energy-saving plan, adjusting the operating parameters of high-energy-consuming equipment, such as air conditioning temperature settings and operating hours. This plan was automatically executed on the BIM platform, with real-time monitoring of the results. A feedback mechanism ensured the feasibility of the optimization strategy. These optimization measures reduced the building's overall energy consumption by 15%, significantly improving energy efficiency.

[0039] In summary, the above-mentioned embodiments demonstrate the application of BIM technology throughout the entire lifecycle of building design, construction, operation, and maintenance. Furthermore, each of these embodiments covers specific technical details, from equipment optimization to streamlined planning to energy management, demonstrating the advantages of intelligence and automation. These applications not only improve building operational efficiency but also bring new conveniences to building management.

[0040] The contents not described in detail in this specification belong to the prior art known to professional and technical personnel in this field. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to replace some of the technical features therein with equivalents. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A BIM-based progress and resource management linkage application system, characterized by: Include: Demand modeling module: Based on the functional requirements of the building, including space layout, equipment layout, purification system, and energy consumption, BIM software is used to generate an initial model and dynamically adjust the model; Intelligent equipment optimization module: optimizes equipment layout in the BIM model through genetic algorithms; Flow planning and optimization module: Combines the building's human flow, logistics and information flow data to conduct preliminary flow planning based on the BIM model; Clash Detection and Schedule Optimization Module: This module detects spatial conflicts among systems in the BIM model through geometric analysis, performs time-based conflict detection in conjunction with 4D-BIM simulation, and optimizes construction sequence and resource allocation in real time based on a construction schedule deviation calculation formula. Multi-disciplinary data integration and real-time simulation module: Integrates architectural, structural, electromechanical, piping, and equipment data into the BIM model, and uses real-time simulation technology to optimize construction and equipment layout; Building lifecycle intelligent management module: Utilizes the BIM model and IoT devices to monitor the building's operating status in real time, and intelligently manages equipment maintenance and energy consumption control through data collection and analysis; Energy consumption optimization module: It is used to collect energy consumption data based on sensors integrated into the BIM model, analyze energy consumption distribution through optimization algorithms, identify high-energy consumption areas and equipment, generate energy consumption optimization plans, and perform adjustments and feedback monitoring on the BIM platform to reduce overall energy consumption.

2. The BIM-based progress and resource management linkage application system according to claim 1 is characterized in that: The smart device optimization module includes: Equipment parameter model establishment: Based on the equipment's size, functional requirements, installation conditions, power consumption, and maintenance requirements, a mathematical model is established to represent the constraints on equipment layout and space utilization; Setting the objective function: The following optimization objective function is used to minimize the layout space and power consumption of the equipment: ； in, Representation device with other devices or spaces The distance between For equipment Power consumption, The installation and maintenance costs of the equipment; Optimization algorithm: Use genetic algorithm to perform global optimization of equipment layout, which includes the following steps: Initial population generation: Generate an initial population for equipment layout. The individuals in the population represent different equipment layout plans. Fitness function calculation: Calculate the fitness value for each individual. The fitness function is based on the value of the objective function. The smaller the value, the better. Selection, crossover, and mutation operations: Generate a new generation of layout solutions through selection, crossover, and mutation operations of genetic algorithms; Iterative search: Find the global optimal equipment layout solution through iteration.

3. The BIM-based progress and resource management linkage application system according to claim 1, characterized in that: The flow planning and optimization module models the flow of people, goods, and information within the building and coordinates it with the layout of equipment. Specifically, it includes the following: Streamline data modeling: Based on the spatial layout of the building and the equipment layout results after intelligent equipment optimization, an initial streamline model of human and material flow is established; Objective function setting: Minimize the path length of personnel and material flow, using the following optimization objective function: ； in, For streamline The importance weight of For streamline The actual length of the function area is assigned a weight based on the importance of the function area. Dynamic programming optimization: Dynamic programming algorithm is used to optimize the streamline model through iteration.

4. The BIM-based progress and resource management linkage application system according to claim 1, characterized in that: The multi-disciplinary data integration and real-time simulation module includes: Data integration of building, structure, and electromechanical systems: Seamlessly integrate the data of building, structure, electromechanical, and piping systems through the BIM platform to form a globally visible 3D model, and achieve real-time data synchronization between disciplines in BIM; Application of digital twin technology: Use digital twin technology to achieve real-time linkage between construction sites and BIM models; On-site construction data is collected through IoT devices, compared and analyzed with the BIM model, and the model or construction plan is adjusted based on the differences.

5. The BIM-based progress and resource management linkage application system according to claim 1, characterized in that: The collision detection and progress optimization module includes: Geometric collision detection: Through geometric analysis, it automatically detects spatial conflicts between pipelines, electromechanical equipment, and building structures in the BIM model and generates a conflict report; Time-based collision detection: Through 4D-BIM simulation of construction progress, potential conflicts caused by time sequence or process issues during construction can be detected; Optimization and adjustment: Adjust the design or construction plan based on the detected collision location and feedback from the construction site.

6. The BIM-based progress and resource management linkage application system according to claim 5, characterized in that: Optimize construction schedules through collision detection and 4D-BIM simulation, including: Construction progress deviation calculation: real-time tracking of construction progress and calculation of deviations from the plan: ； in, Deviation in construction progress. To plan the construction progress, The actual construction progress; Dynamic construction adjustment: When progress deviations occur, the construction sequence is adjusted in combination with the 4D-BIM model to optimize resource allocation.

7. The BIM-based progress and resource management linkage application system according to claim 1, characterized in that: The building life cycle intelligent management module includes: Equipment status monitoring: Install sensors on key equipment in the building to collect real-time operating parameters of the equipment, including temperature, power consumption, vibration, and operating time data; Equipment health score calculation: The equipment health score is calculated using the following formula and used to generate equipment maintenance plans, namely: ； in, Score device health, is the total time period of equipment operation, For time The number of equipment failures that occur when For the device at time By analyzing the health status of the equipment, the remaining service life of the equipment can be determined.

8. The BIM-based progress and resource management linkage application system according to claim 7, characterized in that: Combine the equipment's health score with historical operating data to generate a predictive maintenance plan that includes the following: Equipment maintenance cycle prediction: Based on the equipment's operating status and health score, predict the equipment's next maintenance time and automatically generate a maintenance plan; Early warning mechanism: When the equipment health score falls below the preset threshold, the system automatically triggers an early warning to remind you to perform necessary maintenance or replacement.

9. The BIM-based progress and resource management linkage application system according to claim 1, characterized in that: The system adopts a BIM-based automated preventive maintenance system during building operation and maintenance, including the following steps: Equipment operation data collection: IoT sensors integrated into the BIM model collect real-time operating parameters of key equipment in the building, including temperature, vibration, energy consumption, and operating time; Preventive maintenance plan generation: Based on the collected data, combined with the historical data of equipment operation and maintenance records, a predictive model is used to automatically generate a preventive maintenance plan for the equipment; Automatic alarm and response: When the system detects abnormal equipment operation, it automatically issues a maintenance alarm through the BIM platform to remind maintenance personnel to respond in time.

10. The BIM-based progress and resource management linkage application system according to claim 1, characterized in that: The energy consumption optimization module includes: Energy consumption data collection: Real-time energy consumption data of various building systems is collected through sensors integrated into the BIM model; Energy consumption analysis and optimization: Combined with the equipment layout and building structure data in the BIM model, an optimization algorithm is used to analyze the building's energy consumption distribution, identify high-energy consumption areas and equipment, and generate energy consumption optimization plans; Optimization plan execution and feedback: Execute energy consumption optimization plans on the BIM platform to reduce the overall energy consumption of the building by automatically adjusting equipment operating parameters or optimizing equipment layout. At the same time, the optimization effect is monitored in real time through the feedback mechanism.

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