Stereo garage integrated construction design method based on EPC mode

Abstract

The invention discloses a three-dimensional garage integrated construction design method in an EPC mode. The method comprises the steps that S1, a multi-dimensional data model is used for predicting and simulating the structure and function requirements of a three-dimensional garage; s2, all components of the stereo garage are produced and preassembled in a factory in advance according to the modular standard; s3, performing geological evaluation before civil engineering by using a geological scanning technology and an automatic modeling tool; s4, implementing a real-time construction monitoring system based on the wireless sensor network; s5, machine vision and laser measurement are adopted to enable the parking facilities to be accurately aligned during construction and operation; s6, a construction strategy is adjusted according to the real-time monitoring data; s7, after structure construction is completed, environment simulation testing and load testing are executed; and S8, providing a digital twin model for future operation and maintenance. Through efficient design and a modularization technology, more vehicles can be parked on the land with the same area, and through optimization research on the garage structure, the space utilization rate of the stereo garage is increased.

Description

Technical Field

[0001] The present invention relates to the technical field of stereo garages, and in particular to an EPC mode stereo garage integrated construction design method. Background Art

[0002] In the current urbanization process, with the rapid increase in the number of vehicles, traditional flat parking lots can no longer meet the growing parking demand, which has led to a sharp increase in the demand for stereo garages. Stereo garages have significantly improved land use efficiency through vertical design. However, the existing stereo garage design and construction methods have a series of technical problems and challenges, which mainly include high construction costs, high operating costs, insufficient space utilization, short service life, low management intelligence and safety issues.

[0003] In traditional stereo garage construction, design and construction are often separated, which leads to frequent design modifications and rework during the construction process, increasing construction costs and extending the construction period. For example, pipeline layout and material procurement in conventional construction processes often fail to maximize optimization, resulting in resource waste and low construction efficiency. In addition, due to the lack of an efficient construction monitoring and management system, resource allocation and material use at the construction site often cannot be optimized in real time, increasing the consumption of manpower and material resources.

[0004] The operating cost of the stereo garage is also a problem. Due to the insufficient precision control of the track system, frequent maintenance and overhaul are often required, which not only increases the operating cost, but also affects the normal operation of the parking equipment and the operating efficiency of the garage. In addition, since the design of the stereo garage does not fully consider the intelligent management needs of the garage, such as automatic vehicle access and automatic identification of people in the garage by the system, its management efficiency and safety cannot meet modern needs.

[0005] In an urban environment where land resources are increasingly scarce, the space utilization of existing stereo garages often fails to reach the optimal level. Traditional designs fail to fully consider the rational use of stereo space, resulting in the number of parking spaces being far less than the maximum design possible on the same land area. In addition, existing stereo garages often lack effective waterproofing and structural stability control, resulting in a short service life and high maintenance costs.

[0006] Therefore, how to provide an EPC model of integrated construction design method for a three-dimensional parking garage is a problem that technical personnel in this field urgently need to solve. Summary of the invention

[0007] One purpose of the present invention is to propose an integrated construction design method for a three-dimensional garage in an EPC mode. The present invention uses efficient design and modular technology to enable more vehicles to be parked on the same area of ​​land. By optimizing the garage structure, the space utilization rate of the three-dimensional garage is improved. Compared with traditional flat garages, more parking spaces can be provided on a smaller land area.

[0008] According to an embodiment of the present invention, an EPC mode integrated construction design method for a stereoscopic carport includes the following steps:

[0009] S1. Conduct integrated analysis at the early stage of the project and use multidimensional data models to predict and simulate the structural and functional requirements of the stereo garage;

[0010] S2. Adopting modular design strategy, all components of the stereo garage are pre-produced and pre-assembled in the factory according to modular standards, including integrated components of intelligent handling machinery and automatic identification system;

[0011] S3. Use geological scanning technology and automated modeling tools to conduct geological assessments before civil engineering works and automatically optimize foundation pit design and support structures;

[0012] S4. Implement a real-time construction monitoring system based on wireless sensor networks to automatically track key construction nodes and material usage, monitor process quality, and optimize logistics and resource allocation through algorithms;

[0013] S5, integrated automated track precision control technology, using machine vision and laser measurement to enable precise alignment of parking facilities during construction and operation;

[0014] S6. Apply adaptive feedback control systems during construction to adjust construction strategies based on real-time monitoring data and automatically make adjustments when potential structural instability or material defects are detected;

[0015] S7. After completing the structural construction, perform environmental simulation test and load test;

[0016] S8. Provide a digital twin model for future operation and maintenance. The digital twin model displays the status of the garage in real time, predicts potential failures and guides maintenance work.

[0017] Optionally, the S1 includes:

[0018] S11. Using the comprehensive data analysis model M, the geographic information system, the building information model and the traffic flow analysis data are comprehensively applied to make an initial functional and structural demand forecast based on the input parameters provided, including the geographic location of the plot, the expected traffic flow, the expected garage capacity and the user demand:

[0019]

[0020] Where N represents the total number of factors considered in the model, p, v, c, and u represent the geographical location of the plot, the expected traffic flow, the expected garage capacity, and the specific user needs, respectively. are the corresponding weights and parameters;

[0021] S12. Integrate the geographic and environmental characteristics data of the plot into the comprehensive data analysis model M, automatically evaluate the terrain slope analysis and soil stability of the plot, and use it to determine the optimal garage foundation design solution:

[0022]

[0023] Where x(t) and y(t) represent the terrain slope and soil stability at time t, respectively, α and β are adjustment parameters, and a and b define the interval of integration;

[0024] S13. Use multi-scenario simulation technology to simulate the operating efficiency and safety performance of the stereo garage under different traffic pressures and weather conditions in the comprehensive data analysis model M. Adjust the garage design based on the simulation results to determine vehicle access:

[0025]

[0026] Among them, L and W represent different traffic pressure and weather conditions, γ, L max , W max is the adjustment parameter;

[0027] S14. Use the comprehensive data analysis model M to optimize the structure design, automatically iterate and test different garage floors and parking space layout plans, determine the structural strength and durability through structural simulation and load testing, so that the garage design can maximize the use of space:

[0028]

[0029] Among them, N is the number of garage floors, A is the set of parking space layout plans, κ, δ are adjustment coefficients;

[0030] S15. Combine the output of the comprehensive data analysis model M, conduct a detailed cost-benefit analysis, evaluate the economic feasibility of different design solutions, and select the final design solution that can achieve the following under the budget constraint:

[0031]

[0032] Among them, C and E represent the cost and benefit of different design schemes, ζ,τ are time adjustment parameters, and Z is the normalization factor.

[0033] Optionally, S2 includes:

[0034] S21. Adopting a modular design strategy, the main components and parts of the three-dimensional parking garage, including parking space modules, lifting mechanisms and intelligent handling machinery, are all produced and pre-assembled in the factory in accordance with standardization and modularization requirements. The structure and function of each module are evaluated using a comprehensive data analysis model M to confirm that the design specifications are met;

[0035]

[0036] Among them, m represents the type of modular components, s is the satisfaction of structure and function, q is the sensitivity of quality control, and m0 is the preset performance standard threshold;

[0037] S22, define a unique identification code C for each module, and use an automatic identification system A(C) to automatically identify and track the modules at various stages of production, monitor quality control and subsequent installation;

[0038]

[0039] Among them, k is the recognition sensitivity parameter, and C0 is the preset recognition threshold;

[0040] S23, applying integrated component technology to combine the control system, sensor network and interface management hardware with each module during the pre-assembly process to form a plug-and-play intelligent module, and automatically adjusting the configuration of the integrated component in combination with the output of the comprehensive data analysis model M;

[0041]

[0042] Where I is the type of integrated component, T is the technical parameter, and v is the adjustment coefficient of the integrated efficiency;

[0043] S24. To ensure fast assembly and commissioning at the construction site, each module is equipped with a quick interface to enable quick connection and automatic configuration between modules;

[0044] S25. Using the data-driven decision support system D, dynamically adjust the pre-assembly strategy and optimal configuration of modules according to the real-time site and assembly conditions to adapt to the project requirements and site environment;

[0045]

[0046] Among them, x, y represent the parameters of site conditions and assembly environment, and x0, y0 are the preset optimization parameter thresholds.

[0047] Optionally, the S3 includes:

[0048] S31. Conduct a comprehensive geological scan of the planned construction site using geological scanning technology to collect key geological data, including soil type, groundwater level and geological stability;

[0049] S32, through the automated modeling tool M geo Input the data obtained from geological scanning, build a geological model, and evaluate the geological conditions of the plot;

[0050]

[0051] Where g(t) represents the geological parameters at time t, g0 is the preset threshold of geological stability, and a and b define the evaluation interval;

[0052] S33, according to the automated modeling tool M geo The output results of the automatic optimization of the foundation pit design plan, including adjusting the depth of the foundation pit and the support structure, reducing the amount of earth excavation;

[0053]

[0054] Among them, d represents the depth of the foundation pit, s represents the safety standard of the support structure, h is the depth adjustment coefficient, and d0 is the optimized foundation pit depth;

[0055] S34. Using automated modeling tools M geo The results guided the implementation of the civil works so that all design parameters met the optimal recommendations of the geological assessment;

[0056] S35, combined with real-time monitoring system M monitor Monitor construction progress and geological conditions, based on the automated modeling tool M geo Dynamically adjust construction strategies based on on-site feedback to respond to geological changes or unexpected situations;

[0057]

[0058] Among them, m represents the monitored geological parameters, n represents the number of monitoring points, and γ i is the weight of each monitoring point, and m0 is the preset standard threshold of geological safety.

[0059] Optionally, the S4 includes:

[0060] S41. Deploy a real-time construction monitoring system based on wireless sensor networks to automatically track key construction nodes and material usage at the construction site;

[0061] S42, using the sensor data S to monitor the process quality during the construction process, including the accuracy of the structure assembly and the use of materials;

[0062]

[0063] Among them, i represents the monitoring point number, t represents the time, and x i(t) represents the actual parameter of the i-th point at time t, κ is the response sensitivity, and x0 is the process quality standard;

[0064] S43, analyze the data collected by the sensor network to optimize logistics and resource allocation;

[0065]

[0066] Among them, d represents the resource demand day, r represents the resource type, and d j represents the actual usage day of the jth resource, r j represents the number of resources of the jth type, η is the adjustment factor, d opt is the optimized resource demand day;

[0067] S44. The real-time construction monitoring system will provide real-time feedback to the project management team, which will adjust the construction plan and resource allocation to adapt to the actual construction situation and changes in external factors.

[0068] Optionally, the S6 includes:

[0069] S61. Deploy adaptive feedback control systems that are integrated into the monitoring equipment and sensor networks at the construction site to collect real-time data on structural stability and material quality;

[0070] S62, the system continuously evaluates the real-time monitoring data D(t) and automatically identifies potential structural instability or material defects;

[0071]

[0072] Among them, d i (t) represents the monitoring data of the i-th monitoring point at time t, σ i is the responsiveness of the monitoring point, σ0 is the safety threshold, γ is the time attenuation coefficient, and t0 is the reference time point;

[0073] S63, when D(t) exceeds a preset threshold value θ, the adaptive feedback control system will automatically trigger an alarm and make adjustment suggestions, including structural reinforcement, material replacement, or change of construction method;

[0074]

[0075] Among them, θ i represents the adjustment threshold of the i-th monitoring point, d i is the current monitoring value, d safe It is the security baseline;

[0076] S64, Adaptive feedback control system automatically adjusts construction strategies according to feedback data and construction progress, and synchronizes real-time monitoring and adjustment records to the central database to provide decision support for the project management team.

[0077] Optionally, the S7 includes:

[0078] S71. After the construction of the three-dimensional parking garage structure is completed, the environmental simulation test system M_{env} is deployed to simulate the environmental impact under extreme meteorological conditions, including high temperature, low temperature, humidity and wind vibration:

[0079]

[0080] Among them, T, H, W represent the simulated temperature, humidity and wind force respectively, T i ,H i ,W i is the actual simulated value of the ith environmental factor, T ref ,H ref ,W max It is the reference temperature, humidity and maximum wind speed;

[0081] S72, perform a load test, using a load simulator L to simulate the load condition of the garage at maximum vehicle capacity, and evaluate the bearing capacity of the structure;

[0082]

[0083] Where C is the capacity of the garage, V is the vector of vehicle types and quantities, and V j is the number of vehicles of the jth type, c is the current parking space index, ξ j , η j , δ j , c 0j are specific parameters for each vehicle type;

[0084] S73. Evaluate the performance of the garage structure under different environmental and load conditions based on the test results of the environmental simulation test system and the load simulator;

[0085]

[0086] Among them, P and L represent the performance and load values ​​obtained from environmental simulation and load testing respectively. k and L k is the performance and load data of the kth test scenario, ζ k ,μ k is the scene weight and adjustment coefficient, P safe is the safety performance threshold;

[0087] S74. If the performance results indicate potential problems or performance deficiencies, automatically suggest structural enhancements or design adjustments and guide corrective actions:

[0088]

[0089] Where M is the total number of monitoring points, D is the monitored defect data, and D m is the defect value of the mth monitoring point, D safe，m is the safety threshold of the mth monitoring point;

[0090] S75. Record the test data and results in the project database to provide a reference for maintenance and operation.

[0091] The beneficial effects of the present invention are:

[0092] (1) The present invention optimizes construction organization and material usage by integrating design, procurement and construction processes, reduces material waste and avoids on-site rework, and effectively controls construction costs. The modular design strategy enables the components of the multi-story parking garage to be pre-produced and pre-assembled in the factory according to modular standards, reducing on-site construction time and costs.

[0093] (2) The present invention uses an automatic storage and retrieval system for vehicles and the system's automatic identification of people in the garage, which improves the management efficiency and operational convenience of the multi-story garage. It not only improves the user experience, but also increases safety during use. The system can automatically start when no one is there, avoiding human operational errors.

[0094] (3) The present invention uses efficient design and modular technology to enable more vehicles to be parked on the same area of ​​land. By optimizing the garage structure, the space utilization rate of the three-dimensional garage is improved. Compared with traditional flat garages, more parking spaces can be provided on a smaller land area.

[0095] (4) The present invention avoids the problems of building structure cracking and later water leakage through the research on the quality control technology of garage structure and waterproofing engineering, effectively prolongs the service life of the building and reduces the maintenance cost. In addition, the implementation of environmental simulation test and load test ensures the stability and reliability of the three-dimensional garage under extreme conditions, further reducing the cost in the long-term operation and maintenance process. BRIEF DESCRIPTION OF THE DRAWINGS

[0096] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0097] Figure 1 A flowchart of an EPC-mode integrated construction design method for a stereo garage proposed by the present invention;

[0098] Figure 2 This is a system block diagram of an EPC-mode integrated construction design method for a stereoscopic carport proposed by the present invention. DETAILED DESCRIPTION

[0099] The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, and therefore only show the components related to the present invention.

[0100] refer to Figure 1-2 , an EPC mode integrated construction design method for a stereo garage includes the following steps:

[0101] S1. Conduct integrated analysis at the early stage of the project and use multidimensional data models to predict and simulate the structural and functional requirements of the stereo garage;

[0102] In the implementation manner of the present invention, S1 includes:

[0103] S11. Using the comprehensive data analysis model M, the geographic information system, the building information model and the traffic flow analysis data are comprehensively applied to make an initial functional and structural demand forecast based on the input parameters provided, including the geographic location of the plot, the expected traffic flow, the expected garage capacity and the user demand:

[0104]

[0105] Where N represents the total number of factors considered in the model, p, v, c, and u represent the geographical location of the plot, the expected traffic flow, the expected garage capacity, and the specific user needs, respectively. are the corresponding weights and parameters;

[0106] S12. Integrate the geographic and environmental characteristics data of the plot into the comprehensive data analysis model M, automatically evaluate the terrain slope analysis and soil stability of the plot, and use it to determine the optimal garage foundation design solution:

[0107]

[0108] Where x(t) and y(t) represent the terrain slope and soil stability at time t, respectively, α and β are adjustment parameters, and a and b define the interval of integration;

[0109] S13. Use multi-scenario simulation technology to simulate the operating efficiency and safety performance of the stereo garage under different traffic pressures and weather conditions in the comprehensive data analysis model M. Adjust the garage design based on the simulation results to determine vehicle access:

[0110]

[0111] Among them, L and W represent different traffic pressure and weather conditions, γ, L max , W max is the adjustment parameter;

[0112] S14. Use the comprehensive data analysis model M to optimize the structure design, automatically iterate and test different garage floors and parking space layout plans, determine the structural strength and durability through structural simulation and load testing, so that the garage design can maximize the use of space:

[0113]

[0114] Among them, N is the number of garage floors, A is the set of parking space layout plans, and k and δ are adjustment coefficients;

[0115] S15. Combine the output of the comprehensive data analysis model M, conduct a detailed cost-benefit analysis, evaluate the economic feasibility of different design solutions, and select the final design solution that can achieve the following under the budget constraint:

[0116]

[0117] Among them, C and E represent the cost and benefit of different design schemes, ζ,τ are time adjustment parameters, and Z is the normalization factor.

[0118] S2. Adopting modular design strategy, all components of the stereo garage are pre-produced and pre-assembled in the factory according to modular standards, including integrated components of intelligent handling machinery and automatic identification system;

[0119] In the implementation manner of the present invention, S2 includes:

[0120] S21. Adopting a modular design strategy, the main components and parts of the three-dimensional parking garage, including parking space modules, lifting mechanisms and intelligent handling machinery, are all produced and pre-assembled in the factory in accordance with standardization and modularization requirements. The structure and function of each module are evaluated using a comprehensive data analysis model M to confirm that the design specifications are met;

[0121]

[0122] Among them, m represents the type of modular components, s is the satisfaction of structure and function, q is the sensitivity of quality control, and m0 is the preset performance standard threshold;

[0123] S22, define a unique identification code C for each module, and use an automatic identification system A(C) to automatically identify and track the modules at various stages of production, monitor quality control and subsequent installation;

[0124]

[0125] Among them, k is the recognition sensitivity parameter, and C0 is the preset recognition threshold;

[0126] S23, applying integrated component technology to combine the control system, sensor network and interface management hardware with each module during the pre-assembly process to form a plug-and-play intelligent module, and automatically adjusting the configuration of the integrated component in combination with the output of the comprehensive data analysis model M;

[0127]

[0128] Where I is the type of integrated component, T is the technical parameter, and v is the adjustment coefficient of the integrated efficiency;

[0129] S24. To ensure fast assembly and commissioning at the construction site, each module is equipped with a quick interface to enable quick connection and automatic configuration between modules;

[0130] S25. Using the data-driven decision support system D, dynamically adjust the pre-assembly strategy and optimal configuration of modules according to the real-time site and assembly conditions to adapt to the project requirements and site environment;

[0131]

[0132] Among them, x, y represent the parameters of site conditions and assembly environment, and x0, y0 are the preset optimization parameter thresholds.

[0133] S3. Use geological scanning technology and automated modeling tools to conduct geological assessments before civil engineering works and automatically optimize foundation pit design and support structures;

[0134] In the implementation manner of the present invention, S3 includes:

[0135] S31. Conduct a comprehensive geological scan of the planned construction site using geological scanning technology to collect key geological data, including soil type, groundwater level and geological stability;

[0136] S32, through the automated modeling tool M geo Input the data obtained from geological scanning, construct a geological model, and evaluate the geological conditions of the plot;

[0137]

[0138] Where g(t) represents the geological parameters at time t, g0 is the preset threshold of geological stability, and a and b define the evaluation interval;

[0139] S33, according to the automated modeling tool M geo The output results of the automatic optimization of the foundation pit design plan, including adjusting the depth of the foundation pit and the support structure, reducing the amount of earth excavation;

[0140]

[0141] Among them, d represents the depth of the foundation pit, s represents the safety standard of the support structure, h is the depth adjustment coefficient, and d0 is the optimized foundation pit depth;

[0142] S34. Using automated modeling tools M geo The results guided the implementation of the civil works so that all design parameters met the optimal recommendations of the geological assessment;

[0143] S35, combined with real-time monitoring system M monitor Monitor construction progress and geological conditions, based on the automated modeling tool M geo Dynamically adjust construction strategies based on on-site feedback to respond to geological changes or unexpected situations;

[0144]

[0145] Among them, m represents the monitored geological parameters, n represents the number of monitoring points, and γ i is the weight of each monitoring point, and m0 is the preset standard threshold of geological safety.

[0146] S4. Implement a real-time construction monitoring system based on wireless sensor networks to automatically track key construction nodes and material usage, monitor process quality, and optimize logistics and resource allocation through algorithms;

[0147] In the implementation manner of the present invention, S4 includes:

[0148] S41. Deploy a real-time construction monitoring system based on wireless sensor networks to automatically track key construction nodes and material usage at the construction site;

[0149] S42, using the sensor data S to monitor the process quality during the construction process, including the accuracy of the structure assembly and the use of materials;

[0150]

[0151] Among them, i represents the monitoring point number, t represents the time, and x i (t) represents the actual parameter of the i-th point at time t, κ is the response sensitivity, and x0 is the process quality standard;

[0152] S43, analyze the data collected by the sensor network to optimize logistics and resource allocation;

[0153]

[0154] Among them, d represents the resource demand day, r represents the resource type, and d j represents the actual usage day of the jth resource, r jrepresents the number of resources of the jth type, η is the adjustment factor, d opt is the optimized resource demand day;

[0155] S44. The real-time construction monitoring system will provide real-time feedback to the project management team, which will adjust the construction plan and resource allocation to adapt to the actual construction situation and changes in external factors.

[0156] S5, integrated automated track precision control technology, using machine vision and laser measurement to enable precise alignment of parking facilities during construction and operation;

[0157] S6. Apply adaptive feedback control systems during construction to adjust construction strategies based on real-time monitoring data and automatically make adjustments when potential structural instability or material defects are detected;

[0158] In the implementation manner of the present invention, S6 includes:

[0159] S61. Deploy adaptive feedback control systems that are integrated into the monitoring equipment and sensor networks at the construction site to collect real-time data on structural stability and material quality;

[0160] S62, the system continuously evaluates the real-time monitoring data D(t) and automatically identifies potential structural instability or material defects;

[0161]

[0162] Among them, d i (t) represents the monitoring data of the i-th monitoring point at time t, σ i is the responsiveness of the monitoring point, σ0 is the safety threshold, γ is the time attenuation coefficient, and t0 is the reference time point;

[0163] S63, when D(t) exceeds a preset threshold value θ, the adaptive feedback control system will automatically trigger an alarm and make adjustment suggestions, including structural reinforcement, material replacement, or change of construction method;

[0164]

[0165] Among them, θ i represents the adjustment threshold of the i-th monitoring point, d i is the current monitoring value, d safe It is the security baseline;

[0166] S64, Adaptive feedback control system automatically adjusts construction strategies according to feedback data and construction progress, and synchronizes real-time monitoring and adjustment records to the central database to provide decision support for the project management team.

[0167] S7. After completing the structural construction, perform environmental simulation test and load test;

[0168] In the implementation manner of the present invention, S7 includes:

[0169] S71. After the construction of the three-dimensional parking garage structure is completed, the environmental simulation test system M_{env} is deployed to simulate the environmental impact under extreme meteorological conditions, including high temperature, low temperature, humidity and wind vibration:

[0170]

[0171] Among them, T, H, W represent the simulated temperature, humidity and wind force respectively, T i ,H i ,W i is the actual simulated value of the ith environmental factor, T ref ,H ref ,W max It is the reference temperature, humidity and maximum wind speed;

[0172] S72, perform a load test, using a load simulator L to simulate the load condition of the garage at maximum vehicle capacity, and evaluate the bearing capacity of the structure;

[0173]

[0174] Where C is the capacity of the garage, V is the vector of vehicle types and quantities, and V j is the number of vehicles of the jth type, c is the current parking space index, ξ j , η j , δ j , c 0j are specific parameters for each vehicle type;

[0175] S73. Evaluate the performance of the garage structure under different environmental and load conditions based on the test results of the environmental simulation test system and the load simulator;

[0176]

[0177] Among them, P and L represent the performance and load values ​​obtained from environmental simulation and load testing respectively. k and L k is the performance and load data of the kth test scenario, ζ k ,μ k is the scene weight and adjustment coefficient, P safe is the safety performance threshold;

[0178] S74. If the performance results indicate potential problems or performance deficiencies, automatically suggest structural enhancements or design adjustments and guide corrective actions:

[0179]

[0180] Where M is the total number of monitoring points, D is the monitored defect data, and D m is the defect value of the mth monitoring point, D safe，m is the safety threshold of the mth monitoring point;

[0181] S75. Record the test data and results in the project database to provide a reference for maintenance and operation.

[0182] S8. Provide a digital twin model for future operation and maintenance. The digital twin model displays the status of the garage in real time, predicts potential failures and guides maintenance work.

[0183] Embodiment 1 of the present invention:

[0184] Scenario description:

[0185] In a fast-growing metropolis, a newly developed large shopping mall faces serious parking challenges as the number of vehicles increases dramatically. Traditional ground parking lots can no longer meet the demand, so the developer decided to adopt a new stereo garage solution to improve land utilization and reduce construction and operating costs. The stereo garage is planned to be built on a 3,000 square meter plot and needs to accommodate at least 600 vehicles.

[0186] Application implementation process:

[0187] The developer chose an integrated design and construction approach based on the EPC model to implement this project. First, the optimal design of the stereo garage was predicted and simulated using a multidimensional data model through integrated analysis and simulation of the structural and functional requirements of the stereo garage. The design team used geographic information systems, building information models, and traffic simulation data to create an efficient design solution that maximizes the utilization of the plot and the operational efficiency of the garage.

[0188] Next, using a modular design strategy, the main components of the stereo garage are pre-assembled in the factory, including intelligent handling machinery and automatic identification systems. The structure and function of each module are precisely tested to ensure that they meet the predetermined quality standards. At the construction site, these prefabricated modules are quickly assembled into a complete garage structure, greatly shortening the construction period and reducing the complexity and cost of on-site construction.

[0189] During the construction process, a real-time construction monitoring system based on wireless sensor networks is deployed to automatically track key construction nodes and material usage, ensure process quality, and optimize logistics and resource allocation through algorithms. At the same time, the adaptive feedback control system adjusts the construction strategy based on real-time monitoring data to ensure the stability of the structure and adjust material defects in a timely manner.

[0190] Specific data and benefit proof:

[0191] In the process of building this stereo garage, the construction period was shortened from the traditional 18 months to only 12 months by adopting modular pre-assembly and automated construction technology. Compared with traditional construction methods, the total construction cost was reduced by about 15%, saving about 3.6 million yuan. In addition, the forecast of operating costs shows that through intelligent track precision control and reducing the frequency of manual maintenance, the operating costs are expected to be reduced by more than 50% compared with traditional garages.

[0192] In terms of space utilization, the three-dimensional garage provides three times the number of parking spaces of a traditional flat garage on the same area of ​​land. Through the optimization design of the garage structure and intelligent system, the actual floor space of each parking space has been reduced from the traditional average of 30 square meters to only 10 square meters.

[0193] After the garage was completed, environmental simulation tests and load tests were carried out to ensure the reliability and stability of the garage under extreme weather conditions. Test data showed that the garage's structural stability remained above the safety standard under simulated maximum temperatures of 40°C and minimum temperatures of -10°C. The load test also showed that the structure could withstand extreme conditions exceeding 50% of the design load without any performance degradation.

[0194] The integrated construction design method of the three-dimensional car park using the EPC model of the present invention not only significantly improves the construction and operation efficiency and reduces costs, but also improves the execution quality and safety of the project through intelligent management and a highly modular construction process.

[0195] The present invention optimizes construction organization and material usage by integrating design, procurement and construction processes, reduces material waste and avoids on-site rework, and effectively controls construction costs. The modular design strategy enables the components of the stereoscopic car park to be pre-produced and pre-assembled in the factory according to modular standards, reducing on-site construction time and costs.

[0196] The present invention applies the automatic storage and retrieval system of vehicles and the automatic identification function of the system for people in the garage, which improves the management efficiency and operational convenience of the stereoscopic garage, not only improves the user experience, but also increases safety during use. The system can be automatically started when no one is around, avoiding human operational errors.

[0197] The present invention uses efficient design and modular technology to park more vehicles on the same area of ​​land. By optimizing the garage structure, the space utilization rate of the three-dimensional garage is improved. Compared with traditional flat garages, more parking spaces can be provided on a smaller land area.

[0198] The present invention avoids the problems of building structure cracking and later water leakage through the research on the quality control technology of garage structure and waterproof engineering, effectively prolongs the service life of the building and reduces the maintenance cost. In addition, the implementation of environmental simulation test and load test ensures the stability and reliability of the stereo garage under extreme conditions, further reducing the cost in the long-term operation and maintenance process.

[0199] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An integrated construction design method for a stereo garage based on the EPC model, characterized in that: The steps include: S1. Conduct integrated analysis at the early stage of the project and use multidimensional data models to predict and simulate the structural and functional requirements of the stereo garage; S2. Adopting modular design strategy, all components of the stereo garage are pre-produced and pre-assembled in the factory according to modular standards, including integrated components of intelligent handling machinery and automatic identification system; S3. Use geological scanning technology and automated modeling tools to conduct geological assessments before civil engineering works and automatically optimize foundation pit design and support structures; S4. Implement a real-time construction monitoring system based on wireless sensor networks to automatically track key construction nodes and material usage, monitor process quality, and optimize logistics and resource allocation through algorithms; S5, integrated automated track precision control technology, using machine vision and laser measurement to enable precise alignment of parking facilities during construction and operation; S6. Apply adaptive feedback control systems during construction to adjust construction strategies based on real-time monitoring data and automatically make adjustments when potential structural instability or material defects are detected; S7. After completing the structural construction, perform environmental simulation test and load test; S8. Provide a digital twin model for future operation and maintenance. The digital twin model displays the status of the garage in real time, predicts potential failures and guides maintenance work.

2. The EPC-based integrated construction design method for a three-dimensional car park according to claim 1 is characterized in that: The S1 includes: S11. Using the comprehensive data analysis model M, the geographic information system, the building information model and the traffic flow analysis data are comprehensively applied to make an initial functional and structural demand forecast based on the input parameters provided, including the geographic location of the plot, the expected traffic flow, the expected garage capacity and the user demand: Where N represents the total number of factors considered in the model, p, v, c, and u represent the geographical location of the plot, the expected traffic flow, the expected garage capacity, and the specific user needs, respectively, and w i , are the corresponding weights and parameters; S12. Integrate the geographic and environmental characteristics data of the plot into the comprehensive data analysis model M, automatically evaluate the terrain slope analysis and soil stability of the plot, and use it to determine the optimal garage foundation design solution: Where x(t) and y(t) represent the terrain slope and soil stability at time t, respectively, α and β are adjustment parameters, and a and b define the interval of integration; S13. Use multi-scenario simulation technology to simulate the operating efficiency and safety performance of the stereo garage under different traffic pressures and weather conditions in the comprehensive data analysis model M. Adjust the garage design based on the simulation results to determine vehicle access: Among them, L and W represent different traffic pressure and weather conditions, γ, L max , W max is the adjustment parameter; S14. Use the comprehensive data analysis model M to optimize the structure design, automatically iterate and test different garage floors and parking space layout plans, determine the structural strength and durability through structural simulation and load testing, so that the garage design can maximize the use of space: Among them, N is the number of garage floors, A is the set of parking space layout plans, and k and δ are adjustment coefficients; S15. Combine the output of the comprehensive data analysis model M, conduct a detailed cost-benefit analysis, evaluate the economic feasibility of different design solutions, and select the final design solution that can achieve the following under the budget constraint: Among them, C and E represent the cost and benefit of different design schemes, ζ,τ are time adjustment parameters, and Z is the normalization factor.

3. The integrated construction design method of a three-dimensional car park based on the EPC mode according to claim 2 is characterized in that: The S2 includes: S21. Adopting a modular design strategy, the main components and parts of the three-dimensional parking garage, including parking space modules, lifting mechanisms and intelligent handling machinery, are all produced and pre-assembled in the factory in accordance with standardization and modularization requirements. The structure and function of each module are evaluated using a comprehensive data analysis model M to confirm that the design specifications are met; Among them, m represents the type of modular components, s is the satisfaction of structure and function, q is the sensitivity of quality control, and m0 is the preset performance standard threshold; S22, define a unique identification code C for each module, and use an automatic identification system A(C) to automatically identify and track the modules at various stages of production, monitor quality control and subsequent installation; Among them, k is the recognition sensitivity parameter, c0 is the preset recognition threshold; S23, applying integrated component technology to combine the control system, sensor network and interface management hardware with each module during the pre-assembly process to form a plug-and-play intelligent module, and automatically adjusting the configuration of the integrated component in combination with the output of the comprehensive data analysis model M; Where I is the type of integrated component, T is the technical parameter, and v is the adjustment coefficient of the integrated efficiency; S24. To ensure fast assembly and commissioning at the construction site, each module is equipped with a quick interface to enable quick connection and automatic configuration between modules; S25. Using the data-driven decision support system D, dynamically adjust the pre-assembly strategy and optimal configuration of modules according to the real-time site and assembly conditions to adapt to the project requirements and site environment; Among them, x, y represent the parameters of site conditions and assembly environment, and x0, y0 are the preset optimization parameter thresholds.

4. The EPC-mode integrated construction design method for a three-dimensional parking garage according to claim 3 is characterized in that: The S3 includes: S31. Conduct a comprehensive geological scan of the planned construction site using geological scanning technology to collect key geological data, including soil type, groundwater level and geological stability; S32, through the automated modeling tool M geo Input the data obtained from geological scanning, build a geological model, and evaluate the geological conditions of the plot; Where g(t) represents the geological parameters at time t, g0 is the preset threshold of geological stability, and a and b define the evaluation interval; S33, according to the automated modeling tool M geo The output results of the automatic optimization of the foundation pit design plan, including adjusting the depth of the foundation pit and the support structure, reducing the amount of earth excavation; Among them, d represents the depth of the foundation pit, s represents the safety standard of the support structure, h is the depth adjustment coefficient, and d0 is the optimized foundation pit depth; S34. Using automated modeling tools M geo The results guided the implementation of the civil works so that all design parameters met the optimal recommendations of the geological assessment; S35, combined with real-time monitoring system M monitor Monitor construction progress and geological conditions, based on the automated modeling tool M geo Dynamically adjust construction strategies based on on-site feedback to respond to geological changes or unexpected situations; Among them, m represents the monitored geological parameters, n represents the number of monitoring points, and γ i is the weight of each monitoring point, and m0 is the preset standard threshold of geological safety.

5. The EPC-mode integrated construction design method for a three-dimensional parking garage according to claim 4 is characterized in that: The S4 includes: S41. Deploy a real-time construction monitoring system based on wireless sensor networks to automatically track key construction nodes and material usage at the construction site; S42, using the sensor data S to monitor the process quality during the construction process, including the accuracy of the structure assembly and the use of materials; Among them, i represents the monitoring point number, t represents the time, and x i (t) represents the actual parameter of the i-th point at time t, κ is the response sensitivity, and x0 is the process quality standard; S43, analyze the data collected by the sensor network to optimize logistics and resource allocation; Among them, d represents the resource demand day, r represents the resource type, and d j represents the actual usage day of the jth resource, r j represents the number of resources of the jth type, η is the adjustment factor, d opt is the optimized resource demand day; S44. The real-time construction monitoring system will provide real-time feedback to the project management team, which will adjust the construction plan and resource allocation to adapt to the actual construction situation and changes in external factors.

6. The EPC-mode integrated construction design method for a three-dimensional parking garage according to claim 5 is characterized in that: The S6 includes: S61. Deploy adaptive feedback control systems that are integrated into the monitoring equipment and sensor networks at the construction site to collect real-time data on structural stability and material quality; S62, the system continuously evaluates the real-time monitoring data D(t) and automatically identifies potential structural instability or material defects; Among them, d i (t) represents the monitoring data of the i-th monitoring point at time t, σ i is the responsiveness of the monitoring point, σ0 is the safety threshold, r is the time attenuation coefficient, and t0 is the reference time point; S63, when D(t) exceeds a preset threshold value θ, the adaptive feedback control system will automatically trigger an alarm and make adjustment suggestions, including structural reinforcement, material replacement, or change of construction method; Among them, θ i represents the adjustment threshold of the i-th monitoring point, d i is the current monitoring value, d safe It is the security baseline; S64, Adaptive feedback control system automatically adjusts construction strategies according to feedback data and construction progress, and synchronizes real-time monitoring and adjustment records to the central database to provide decision support for the project management team.

7. The EPC-mode integrated construction design method for a three-dimensional parking garage according to claim 6 is characterized in that: The S7 includes: S71. After the construction of the three-dimensional parking garage structure is completed, the environmental simulation test system M_{env} is deployed to simulate the environmental impact under extreme meteorological conditions, including high temperature, low temperature, humidity and wind vibration: Among them, T, H, W represent the simulated temperature, humidity and wind force respectively, T i ,H i ,W i is the actual simulated value of the ith environmental factor, T ref ,H ref ,W max It is the reference temperature, humidity and maximum wind speed; S72, perform a load test, using a load simulator L to simulate the load condition of the garage at maximum vehicle capacity, and evaluate the bearing capacity of the structure; Where C is the capacity of the garage, V is the vector of vehicle types and quantities, and V j is the number of vehicles of the jth type, c is the current parking space index, ξ j , η j , δ j , c 0j are specific parameters for each vehicle type; S73. Evaluate the performance of the garage structure under different environmental and load conditions based on the test results of the environmental simulation test system and the load simulator; Among them, P and L represent the performance and load values ​​obtained from environmental simulation and load testing respectively. k and L k is the performance and load data of the kth test scenario, ζ k ,μ k is the scene weight and adjustment coefficient, P safe is the safety performance threshold; S74. If the performance results indicate potential problems or performance deficiencies, automatically suggest structural enhancements or design adjustments and guide corrective actions: Where M is the total number of monitoring points, D is the monitored defect data, and D m is the defect value of the mth monitoring point, D safe，m is the safety threshold of the mth monitoring point; S75. Record the test data and results in the project database to provide a reference for maintenance and operation.

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