BIM+5G-based intelligent regulation and control method and system for airport hub construction

Abstract

The invention discloses an airport hub construction intelligent regulation and control method and system based on BIM + 5G, and relates to the technical field of construction scheduling optimization, and the method comprises the steps: collecting on-site real-time data to construct a path construction sequence model, constructing a dynamic construction state set with consistent space and time sequence through component coding and semantic attribute mapping, and constructing a dynamic construction state set with consistent time sequence; and constructing a minimum disturbance optimization algorithm of four-dimensional disturbance cost based on the construction disturbance mapping graph, outputting procedure sequence adjustment, resource rearrangement, path decoupling and environment avoidance intervention suggestions, and tracking a construction response state in real time based on an intervention execution feedback mechanism. According to the method, unified modeling of construction plans, resource allocation and green indexes is achieved by constructing a ternary structure and a construction disturbance mapping graph, the field state is dynamically collected in combination with a 5G and edge sensing system, process abnormity and resource conflicts are accurately recognized, an efficient and executable regulation and control strategy is generated based on a multi-target disturbance optimization algorithm, and the efficiency and the reliability of the system are improved. And the intelligence, responsiveness and energy-saving level of the construction process are obviously improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of construction scheduling optimization, in particular to an airport hub construction intelligent regulation method and system based on BIM+5G. BACKGROUND

[0002] With the continuous expansion of urban infrastructure construction scale, large-scale transportation hub projects are becoming increasingly complex, and the organization and coordination of the construction process and fine management have become key factors to ensure the construction period, safety and resource utilization efficiency. Building information modeling (BIM) technology has been widely used in component modeling and information integration in the construction stage, and the visualization of construction plans and the digitization of resource matching are realized through the construction of three-dimensional models. At the same time, the high speed and low delay characteristics of the fifth generation mobile communication technology (5G) provide technical support for large-scale sensing and remote scheduling in the construction site. On this basis, more and more researches have begun to focus on the integration of BIM and 5G, trying to realize the real-time acquisition of construction data, dynamic updating of models and efficient transmission of management instructions, in order to support the development trend of intelligent construction.

[0003] Although three-dimensional expression and process logic modeling of construction plans have been realized in the current BIM platform, existing technologies focus more on static modeling and linear progress management, and lack real-time sensing and linkage control capabilities for multi-source states of the construction process. In the complex airport hub construction scene, construction processes are highly coupled, resource allocation is frequent, and the on-site environment is disturbed violently. Simply relying on traditional BIM models cannot dynamically respond to sudden conflicts such as path blockage, equipment interference, and resource shortage. On the other hand, although some researches have tried to apply 5G technology to on-site image monitoring and equipment remote control, they lack deep integration with construction semantic models, cannot form a dynamic state recognition mechanism based on process units, and cannot support precise scheduling based on disturbance mapping. In addition, existing scheduling methods are mainly based on static optimization, and cannot realize local perturbation control and whole-process closed-loop feedback based on real-time data driving, resulting in lagging actual intervention measures and serious execution deviation. In comparison, the present application first constructs a dynamic construction sequence model with “process-resource-time” as the main axis, and realizes high-frequency acquisition and semantic alignment of construction states by combining 5G and edge computing; through the disturbance mapping diagram to depict path deviation and risk nodes, and then introducing a multi-objective disturbance optimization algorithm, the comprehensive regulation of construction process for construction period, safety, cost and carbon emission is realized, which has incomparable response efficiency and execution accuracy compared with existing technologies. SUMMARY

[0004] In view of the above problems, the present application is proposed.

[0005] Therefore, the technical problem solved by the present application is that the existing airport hub construction management and regulation method has the problems of static information model, isolated field perception, and lagging regulation feedback, and how to realize construction full-process disturbance identification, self-adaptive optimization, and regulation instruction closed-loop execution.

[0006] To solve the above technical problems, the present application provides the following technical solutions: An airport hub construction intelligent regulation method based on BIM+5G, including collecting real-time data on site to construct a path construction sequence model, describing the execution logic, resource requirements, and safety level requirements of civil engineering, steel structure, fabricated component installation, and mechanical and electrical pipeline layout procedures, establishing a procedure-resource-time ternary structure matrix based on a BIM platform, and encoding and correlating the carbon emission benchmark value of each procedure; relying on a 5G network and an edge computing architecture, collecting personnel positioning behavior, large equipment operation state, material flow trajectory, environmental disturbance data, and image auxiliary identification information on the construction site, synchronizing them to the path construction sequence model, constructing a dynamic construction state set consistent in space and time through component coding and semantic attribute mapping, taking procedures as the identification unit, using a field comparison mechanism to construct a construction disturbance mapping diagram, and marking path deviation nodes, resource conflict points, path blockage sections, and risk procedure areas; based on the construction disturbance mapping diagram, constructing a minimum disturbance optimization algorithm for four-dimensional disturbance costs of duration, safety, cost, and carbon emission, outputting procedure order adjustment, resource rearrangement, path decoupling, and environmental avoidance intervention suggestions, pushing structured regulation instructions to responsible positions, and based on an intervention execution feedback mechanism, real-time tracking of construction response state.

[0007] As a preferred scheme of the airport hub construction intelligent regulation method based on BIM+5G, the real-time data on site includes construction personnel positioning and behavior data, construction machinery equipment operation data, material in-out and consumption data, environmental disturbance sensing data, and image auxiliary identification data, which are uploaded through an edge access gateway and semantically bound to procedure nodes in the construction BIM model.

[0008] As a preferred scheme of the airport hub construction intelligent regulation method based on BIM+5G, the construction disturbance mapping diagram includes a directed graph structure with procedures as nodes and inter-procedure dependency and conflict relationships as edges, with edge-attached tags including duration impact degree, safety risk level, resource conflict density, and carbon emission offset, representing disturbance propagation links in the current construction process.

[0009] As a preferred scheme of the airport hub construction intelligent regulation and control method based on BIM+5G, the minimum disturbance optimization algorithm comprises adjusting the sequence or resource allocation in the path procedure under the premise that the overall construction plan structure is not changed, and a rigid intervention mechanism is used for timing coordination and risk mitigation for the conflict nodes on the path.

[0010] As a preferred scheme of the airport hub construction intelligent regulation and control method based on BIM+5G, the intervention suggestion comprises a construction plan adjustment list, a resource allocation schedule, a construction sequence change atlas, a safety risk early warning prompt and an execution interface document, and is pushed to the construction post and the dispatch platform.

[0011] As a preferred scheme of the airport hub construction intelligent regulation and control method based on BIM+5G, the intervention execution feedback mechanism comprises triggering a disturbance correction process when the actual execution deviates from the intervention target, and responding through range sequence adjustment, resource peak-shaving, and equipment path recalculation strategy.

[0012] As a preferred scheme of the airport hub construction intelligent regulation and control method based on BIM+5G, the real-time tracking construction response state comprises archiving and modeling the response timeliness, execution effect, risk change and resource consumption information in the construction process after the execution of the intervention scheme is completed, forming a three-element knowledge sample set of execution event-response strategy-intervention effectiveness, and being used for disturbance function parameter optimization and regulation rule migration in subsequent construction tasks.

[0013] Another object of the present application is to provide an airport hub construction intelligent regulation and control system based on BIM+5G, which can solve the problem that the current airport hub construction management and regulation method cannot realize construction whole-process disturbance identification, adaptive optimization and regulation instruction closed-loop execution by constructing a minimum disturbance optimization algorithm based on construction disturbance mapping and running four-dimensional disturbance cost of time limit for a project, safety, cost and carbon emission.

[0014] As a preferred scheme of the airport hub construction intelligent regulation and control system based on BIM+5G, it comprises a construction reference model construction and multi-target parameter setting module, a real-time field state acquisition and conflict path identification module, and a minimum disturbance optimization execution and feedback closed-loop regulation module; the path planning module is used to construct construction timing, resource, safety, cost and carbon emission target parameter baseline, and provide reference for regulation; the real-time field state acquisition and conflict path identification module is used to acquire multi-source state data of the construction site, identify key conflicts by comparison with the reference, and extract disturbance propagation path; the minimum disturbance optimization execution and feedback closed-loop regulation module is used to execute the intervention scheme and continuously monitor feedback, and if the target is deviated, optimization is performed to realize dynamic closed-loop regulation in the whole construction process.

[0015] A computer device comprises a memory and a processor, the memory stores a computer program, and the processor executes the computer program to implement the steps of the BIM+5G-based intelligent regulation and control method for airport hub construction.

[0016] A computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the steps of the BIM+5G-based intelligent regulation and control method for airport hub construction.

[0017] The BIM+5G-based intelligent regulation and control method for airport hub construction provided by the present application constructs a whole-cycle construction sequence model based on the critical path method, clearly defines the process logic, resource allocation, safety level and carbon emission index, realizes the structured integration of construction plan, resources and green targets, and lays the foundation for the benchmark system of dynamic regulation; relying on the 5G and edge computing architecture, multi-dimensional field data such as personnel positioning, equipment status, material flow, environmental disturbance and image recognition are collected, the construction state set is constructed in real time and compared with the benchmark model, abnormalities such as path delay, resource conflict and environmental overrun are identified, and then the construction disturbance mapping diagram is constructed to accurately restore the chain risk propagation path; on this basis, a minimum disturbance optimization algorithm is constructed based on the four-dimensional disturbance factors of duration, safety, cost and carbon emission, outputting process sequence adjustment, resource rearrangement and risk avoidance intervention suggestions, and pushing the structured regulation and control instructions to the post terminal to realize the post executable of the scheduling scheme; at the same time, the system continuously monitors the execution feedback, identifies the intervention deviation and automatically triggers local micro-disturbance correction to build a closed-loop response mechanism. Through the above method, the rapid identification and dynamic response of complex abnormalities in the construction process are realized, the resilience of the construction plan and the efficiency of the resource allocation are improved, the safety prevention and control and the collaborative optimization of green construction are strengthened, and the intelligent level and execution adaptability of the airport hub engineering construction management are improved as a whole, which breaks through the bottleneck of the prior art in multi-target regulation and closed-loop control. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0019] Figure 1 The whole flow chart of the BIM+5G-based intelligent regulation and control method for airport hub construction provided by the first embodiment of the present application.

[0020] Figure 2A technical solution logic diagram of an airport hub construction intelligent regulation and control method based on BIM+5G is provided for the first embodiment of the application.

[0021] Figure 3 A whole flowchart of an airport hub construction intelligent regulation and control system based on BIM+5G is provided for the third embodiment of the application. DETAILED DESCRIPTION

[0022] In order to make the above objectives, characteristics and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should fall within the scope of protection of the present application.

[0023] Embodiment 1, refer to Figure 1 - Figure 2 For an embodiment of the present application, an airport hub construction intelligent regulation and control method based on BIM+5G is provided, comprising: S1: Collecting real-time data on site to construct a path construction sequence model, describing the execution logic, resource demand and safety level requirements of civil engineering, steel structure, fabricated component installation and mechanical and electrical pipeline layout process, establishing a process-resource-time ternary structure matrix based on a BIM platform, and coding the carbon emission benchmark value of each process.

[0024] Further, in the construction start-up stage, according to the construction general control plan of the airport hub project, the construction arrangement of the main systems such as civil engineering, steel structure engineering, fabricated component installation, mechanical and electrical pipeline layout and interior and exterior decoration engineering is comprehensively considered, and a path construction sequence model covering the whole cycle is established, which is expressed as:

[0025] Among them, the original duration of each node in the construction plan is extracted , the preposition dependency relationship , the resource plan input , the budget cost , the carbon emission index , the process risk level .

[0026] The path construction sequence model is based on the critical path method (CPM), which clearly defines the process flow, execution start and end time, pre and post dependency relationship and logical path of each process, and identifies the critical path and flexible process section.

[0027] To achieve resource matching and construction feasibility verification, the allocation plans for input elements such as human resources, machinery and equipment, and construction materials are entered simultaneously with the definition of work processes, forming a data matrix centered on the "work process-resource-time" ternary relationship. At the same time, for different types of work processes, safety operation levels (such as special operations, high-altitude operations, and temporary electrical operations), schedule control targets (expected completion amount per unit time), and their budget consumption limits are established.

[0028] Under the requirements of green building, it is also necessary to encode and associate the types of materials, energy types, work intensity and duration consumed in each process, calculate the carbon emission benchmark values ​​of various construction activities, and incorporate them into the initial allocation of carbon indicators for the entire construction process.

[0029] All the above data is imported into the construction information model of the BIM platform in a structured format to establish a unified time-series plan view across processes and disciplines. Through model semantic label definitions, component coding standards, and attribute table structures, the construction process management dimension and component dimension are strongly bound together to ensure consistent expression of information in both spatial and temporal dimensions.

[0030] S2: Relying on 5G network and edge computing architecture, it collects personnel positioning behavior, large equipment operation status, material flow trajectory, environmental disturbance data and image-assisted recognition information at the construction site, and synchronizes them to the path construction sequence model. Through component coding and semantic attribute mapping, it constructs a dynamic construction status set that is consistent in space and time. Taking the process as the identification unit, it uses the field comparison mechanism to construct a construction disturbance mapping map and marks path deviation nodes, resource conflict points, path blocking sections and risk process areas.

[0031] Furthermore, after the standard construction sequence model is established and synchronized to the control platform, a high-speed, low-latency communication network covering the entire work area is constructed based on the deployed 5G network infrastructure. The network architecture adopts the form of "edge access + multi-protocol fusion + distributed nodes". Edge access gateways and edge computing nodes are deployed in densely populated work areas (such as core tower crane areas, component storage yards, assembly areas, etc.) to realize the local collection and preprocessing of data from terminal devices.

[0032] The dimensions of on-site data collection mainly include the following five categories: Personnel positioning and work behavior data: Each construction worker entering the site wears a smart positioning terminal. The terminal supports Beidou / GNSS module, IMU motion sensor and SOS warning button functions. It can report personnel location information, movement trajectory, stay time and action characteristics in real time, automatically identify work status (construction, waiting, leaving the post) and record the historical trajectory of entering the risk area for subsequent safety risk analysis and work efficiency assessment.

[0033] Large machinery and equipment operation data: key construction equipment such as tower cranes, pump trucks, hoisting machines, and climbing platforms are connected to the industrial IoT interface, and real-time data such as operation time, load data, travel records, energy consumption data, and abnormal state information are collected. Through coding and binding with the equipment ID in the BIM model, the physical entity and the model component are one-to-one corresponding.

[0034] Material in and out and consumption tracking data: based on RFID / barcode recognition, intelligent warehouse and distribution mechanism, each batch of components, steel, cement, pipelines, and prefabricated components are recorded in the process of entering and leaving the warehouse, delivering to the site, and assembling, including time, batch, path, and consumption. Automatically match resource allocation plans in the construction sequence to analyze material consumption deviation and supply chain time efficiency bottlenecks.

[0035] Environmental disturbance and risk perception data: deploy temperature and humidity sensors, dust / PM2.5 monitors, noise probes, wind speed and direction detectors, vibration monitoring modules, and other types of IoT nodes in areas susceptible to interference to monitor the real-time state of the surrounding working environment. When the environmental parameters exceed the preset threshold, the system automatically marks the relevant process as high-risk and triggers control suggestions (such as suspending construction, personnel evacuation, etc.).

[0036] Work behavior and image-assisted identification information: use 5G unmanned aerial vehicle inspection and AI video analysis system to periodically obtain high-altitude aerial photographs, progress images, and construction scene video streams in the construction area, and complete intelligent image recognition on the edge node to identify actual completion, process location, and construction density, etc. Information to form a visual check of the BIM model process progress.

[0037] After forming a complete set of real-time construction state, the control platform uses the "plan-execution" dual-track model as the comparison framework to match and analyze the deviation between the real-time state set and the standard construction sequence model established earlier. This process uses process ID as the primary key and sequentially checks the duration, resources, location information, progress completion rate, work environment value, and equipment correlation in multiple dimensions to form a dynamic multi-field deviation matrix.

[0038] S3: Based on the construction disturbance mapping, construct a minimum disturbance optimization algorithm for four-dimensional disturbance cost of duration, safety, cost, and carbon emissions, output process order adjustment, resource rearrangement, path decoupling, and environmental avoidance intervention suggestions, and push structured control instructions to responsible positions. Based on the intervention execution feedback mechanism, real-time tracking of construction response state.

[0039] Further, according to the conflict record and the current construction target (remaining duration, safety threshold, cost budget, carbon emission limit), a minimum disturbance algorithm is run to adjust the process execution order or time segment, optimize resource (person, machine, material) allocation, calculate the impact of adjustment on the duration, safety and green indicators, and finally generate a process change detail and resource adjustment scheme.

[0040] Under the premise of not significantly disrupting the construction process, through dynamic adjustment of limited resources and minimum adjustment of process order, multi-objective balance of duration, safety, cost and carbon emission is achieved.

[0041] The disturbance cost set is composed of:

[0042] The duration disturbance function is: The safety risk disturbance function is:

[0043] The cost disturbance function is: The carbon emission disturbance function is:

[0044]

[0045]

[0046] Wherein, is the project baseline duration; is the original duration (days) of the process ; is the allocated resource amount after disturbance (unit: person·days); is the resource allocation fluctuation rate; is the process disturbance frequency; is the adjustment execution duration of the process ; is the basic safety risk coefficient of the process ; is the risk incremental sensitivity coefficient of the process ; is the time disturbance amplitude; is the construction environment disturbance phase angle; is the unit economic cost (yuan) of the resource ; is the usage amount (unit: pieces) of the resource ; is the resource ​​​​the price fluctuation intensity of the resource; a random interference factor for resource site construction phase; a resource allocation budget upper limit (yuan); a resource carbon emission coefficient ; a carbon emission nonlinear growth coefficient; a resource carbon emission special scene disturbance term; a carbon emission Sigmoid function growth sensitivity control parameter.

[0047] If is less than 1, it means the construction period is advanced, if is about 1, it means the construction period is maintained, and if is more than 1, it means obvious delay.

[0048] , The larger the value is, the higher the safety risk is, and the exponential rise.

[0049] If is less than 1, it means the budget cost is lower, and if is more than 1, it means the budget is over budget.

[0050] , The larger the value is, the higher the carbon emission caused by resource allocation is.

[0051] After the minimum disturbance optimization algorithm completes the scheduling calculation and outputs the intervention variable set, the system enters the intervention scheme generation phase. Based on the disturbance optimization results, this phase converts various calculation outputs into structured control instructions that can be recognized by engineering and executed by post, and builds an intervention suggestion set based on construction semantics.

[0052] The generation logic of intervention suggestions follows the output classification of the following four core dimensions: (1) Construction plan adjustment list According to the optimal solution results of the construction period disturbance function, the platform extracts the process list that needs to be adjusted, including its original plan time, recommended adjustment start and end time, whether the front and rear processes need to be modified, buffer adjustment range and whether it affects the critical path, etc. For processes in the flexible area, the system recommends to prioritize in-sequence shift or expansion; for critical path processes, it is marked as a "rigid intervention" item, with a scheduling risk index.

[0053] (2) Resource dynamic allocation arrangement The output results of the cost disturbance function and the carbon emission disturbance function are combined to reconstruct the resource deployment plan. The system identifies high-carbon and high-cost resource concentration points and provides resource replacement suggestions, such as replacing high-energy consumption construction machinery with low-emission equipment and staggering scheduling during specific time periods to avoid concentrated loads. The suggestions are detailed to the construction day granularity of the "person-machine-material" combination rearrangement list and point to the corresponding responsibility process and work section.

[0054] (3) Construction sequence update map The system regenerates the construction sequence map based on the conflict mapping and the adjusted task dependency relationship, and highlights all adjusted sequence process nodes. Each updated process node contains its original number, connection relationship change explanation, affected process range, and whether it crosses professional boundaries, making it easy for each professional group to identify changes in their responsibilities. The map is synchronized to the construction general control interface and each professional team in the form of a network structure.

[0055] (4) Safety and environmental risk intervention suggestions Based on the safety disturbance function and environmental anomaly labels, the system gives a safety priority ranking to high-risk construction points and outputs a set of suggested intervention operations, including: construction suspension period suggestions, risk area personnel flow limiting suggestions, construction shielding optimization suggestions, and on-site environmental ventilation or dust removal measures strengthening suggestions. For work nodes affected by multiple environmental parameters, the platform also provides integrated suggestions, such as "temporary suspension + alternative work plan" to avoid overall project delays.

[0056] The platform automatically structures and codes all intervention suggestions, forming five types of document / data interface output: Scheduling execution table: for project schedulers, listing each adjustment suggestion and its corresponding time window, responsible person, and associated processes; Task change reminder: daily change reminders are pushed to each post or team; Graphical interaction model: highlights affected components or areas in the BIM platform, allowing for click-to-view intervention explanations; Risk warning layer: in the form of a heat map overlaid on the work section, it alerts construction personnel to critical areas; Data interface / API: integrates with construction task systems, labor platforms, and material platforms to support automatic intervention content execution.

[0057] It should be noted that all intervention suggestions are prioritized according to their impact on the corresponding disturbance function: such as causing the critical path duration to exceed 10%, or The intervention suggestion is classified as the first priority if it shows an exponential risk rising trend, and it will be immediately reviewed and released by the project scheduling master. The rest of the suggestions are archived according to the three categories of "suggestion execution - approved execution - reference execution" to ensure that the program is implemented without affecting the site rhythm.

[0058] After the intervention suggestion is generated, the platform automatically opens an execution tracking channel to record the execution status, implementation progress, and on-site feedback, providing a traceable data basis for the next step of execution feedback and perturbation correction.

[0059] After the intervention suggestion is issued to each responsible position on site, the construction site enters the controlled execution phase. The core goal of this phase is to ensure that the intervention instruction is "understandable, executable, and quantifiable evaluation", and in the execution process, the digital perception mechanism is used to complete the state tracking and deviation inspection throughout the process. Specifically, it includes the following five links: (1) Intervention plan decomposition and post-level task binding The system decomposes the intervention adjustment plan generated in the platform by process dimension, automatically matches it to the construction responsibility team and post personnel, and synchronizes the relevant change information to the personal task terminal (such as mobile APP, AR visual terminal, voice broadcast equipment, etc.). Each change record has a unique identifier, target time period, change type (sequence / resource / safety / energy consumption, etc.), task index, and feedback channel settings.

[0060] (2) Multi-source data-driven real-time tracking of execution status With the help of high-frequency data upload capability under 5G network, the platform continuously receives feedback information in the following dimensions: Construction progress feedback: Through AI image recognition and BIM model comparison, it is determined whether the key components have been positioned and installed, and whether the work surface has been transferred in sequence on schedule; Resource actual consumption feedback: Through RFID / warehouse system statistics of allocated and used resources, identify material overstock or short supply trends; Personnel work behavior feedback: Based on personnel terminal positioning and IMU recognition, it is determined whether the work density, work stagnation, and personnel repeated deployment exist; Risk and environmental feedback: Through sensor feedback of vibration, dust, wind speed, etc., dynamically assess the changes in safety or carbon emissions caused by construction disturbance.

[0061] All feedback data is time-aligned, data-cleansed, and model-mapped, and compared with each perturbation prediction value in the intervention suggestion.

[0062] (3) Deviation identification and tolerance triggering mechanism The system sets automatic triggering rules according to the tolerance range of each intervention suggestion in the disturbance optimization (for example, time offset ± 5%, carbon emission increase not more than 10%, personnel over-density duration not more than 15 minutes, etc.). When the actual feedback deviates from the predicted tolerance interval, or new conflicts occur (such as equipment crossing and material accumulation caused by intervention sequence), the platform automatically generates deviation events and is classified into the following three categories: Acceptable fluctuations (no adjustment needed); Warning level deviation (suggested for manual review); Serious deviation (triggering automatic micro-perturbation correction).

[0063] (4) Local re-optimization and micro-perturbation correction strategy execution For events that trigger serious deviation, the system automatically calls the local disturbance algorithm to make small adjustments to the affected part of the process, resource path or work time window while keeping the overall construction structure unchanged. Common operations include: Borrow time buffer from adjacent flexible processes; Adjust the material distribution batch to preferentially support the bottleneck process; Change the work order to release the space intersection point; Strengthen temporary safety protection measures to reduce the impact of environmental disturbance.

[0064] The scheme after micro-perturbation correction does not need to be reviewed by the whole team. After being approved by the control and control personnel, it is directly issued and quickly synchronized to the relevant positions, ensuring the efficiency of on-site response and uninterrupted progress.

[0065] (5) Execute closed-loop modeling and knowledge sedimentation The platform archives and correlates modeling for each micro-perturbation correction process and effect, including: What is the trigger and how long is the response time; Changes in construction efficiency / risk / resource consumption before and after correction; Which type of intervention measure is most likely to fail, and in which type of scenario is most effective; Which parameters have prediction deviations, and can the disturbance function be optimized.

[0066] Embodiment 2, one embodiment of the present application, provides a BIM+5G-based airport hub construction intelligent control method. In order to verify the beneficial effects of the present application, economic benefit calculation and simulation experiments are used for scientific demonstration.

[0067] Firstly, in the test section of the construction management of a large airport hub project, six typical processes, including "assembly foundation", "main steel structure", "pipeline layout", "curtain wall installation", "interior construction" and "electrical debugging", are selected to construct the standard construction sequence model and implant it into the BIM platform. In the preparation stage of the test, firstly, combined with the master control plan, relying on the critical path method, the start and end time, logical dependence and buffer length of each process are marked to establish a complete process timing network structure. In the BIM platform, the resource elements, operation level and green construction indicators of each process are coded, and information such as personnel configuration, equipment working hours, material list, safety level and carbon emission data is imported to form a process-resource-time three-dimensional structure matrix.

[0068] The 5G edge computing gateway and sensor array are deployed on site, and terminal nodes are laid out in high operation-intensive areas to collect five types of key data in the construction process: personnel terminal real-time uploads location and operation status, large equipment feedback operation load and abnormal records through IoT interface, material system synchronously records material in-out through RFID identification, environmental monitoring system continuously uploads disturbance data such as dust, noise and vibration, and AI video unit performs image recognition to monitor process density and progress completion. The system synchronously establishes a plan-execution comparison mechanism, compares with the standard model in the early stage, and analyzes the process period deviation value, resource configuration state, high-risk operation level, resource conflict frequency, carbon emission intensity and budget deviation coefficient of each process item by item. Finally, a structured state matrix and disturbance mapping diagram are generated in the platform, and a minimum disturbance scheduling algorithm is triggered to optimize the processes with larger deviation indicators.

[0069] Table 1 experimental data table

[0070] As can be seen from the table data, through the method proposed by the present application, the accurate quantification and process feedback of the key disturbance dimension in the construction process can be realized, and a clear intervention logic is formed in the output of the control strategy. Among them, process E (interior construction) has a process period disturbance index of 6.3 before the disturbance control is implemented, which is significantly higher than that of other processes; at the same time, the personnel configuration is 46 people, the equipment operation time is 10.4 hours, the resource conflict frequency is 5 times, and the budget deviation coefficient is 0.35, reflecting the composite risks of high resource concentration, frequent conflicts and cost overrun.

[0071] After running the minimum disturbance algorithm, the platform adopts resource splitting, time window backward shift and cross-process decoupling strategies for this process, so that the construction pressure after resource reconstruction can be dispersed. In the system feedback, the process period disturbance index of this process decreases to a reasonable interval, and the carbon emission intensity and budget deviation index tend to be stable. In contrast, process A (assembly foundation) shows low disturbance characteristics in the test, and all indicators are in a low state, verifying the discrimination ability of the model in flexible process identification and intervention priority allocation.

[0072] Meanwhile, the risk operation levels of process C and process F in the table are high, but because the resource conflict frequency is low and the budget deviation is limited, they are not included in the first-level intervention sequence by the algorithm. This shows that the disturbance mapping diagram and the control priority strategy constructed by the invention can effectively avoid the "over-intervention" phenomenon, ensure that resources are used preferentially in the critical path section, and improve the overall resource allocation efficiency. Compared with the traditional static plan which relies on manual judgment and experience adjustment, the system can dynamically identify actual deviations and automatically judge intervention levels through the disturbance function and feedback comparison mechanism, and output executable suggestions, which has stronger practicality, real-time performance and system stability.

[0073] In summary, the embodiment verifies the whole process from model establishment, data collection, deviation analysis to dynamic scheduling, which shows that the method of the invention has significant advantages in multi-objective optimization, complex process intervention control, resource cost management and green construction index response, and embodies the system intelligence, execution accuracy and strategy adaptive ability superior to the prior art in high complexity construction scene.

[0074] Embodiment 3, refer to Figure 3 As an embodiment of the invention, an airport hub construction intelligent control system based on BIM+5G is provided, including a construction reference model construction and multi-objective parameter setting module, a real-time acquisition of site state and conflict path identification module, and a minimum disturbance optimization execution and feedback closed-loop control module.

[0075] The path planning module is used to construct the construction time sequence, resource, safety, cost and carbon emission target parameter baseline to provide a reference for control. The real-time acquisition of site state and conflict path identification module is used to acquire multi-source state data of the construction site, identify key conflicts by comparing with the baseline, extract disturbance propagation paths, and the minimum disturbance optimization execution and feedback closed-loop control module is used to execute the intervention scheme and continuously monitor feedback. If the deviation is found, the optimization is performed to realize the dynamic closed-loop control of the whole construction process.

[0076] If the functions are implemented in software, the functions can be stored in or implemented as one or more instructions or code on a computer-readable medium. Computer-readable media include both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage medium can be any available medium that can be accessed by a computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Also, any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, or twisted pair, then the coaxial cable, fiber optic cable, or twisted pair are included in the definition of medium. Disk and disc, as used herein, include compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), and Blu-Ray® disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.

[0077] In other words, like a human driver of a vehicle, the autonomous vehicle 100 can be programmed to follow traffic laws and rules of the road, and to make decisions based on its programming and the information it receives from its sensors and other sources. The autonomous vehicle 100 can also be programmed to make decisions based on its programming and the information it receives from its sensors and other sources, even if those decisions are not in accordance with traffic laws and rules of the road. For example, the autonomous vehicle 100 can be programmed to avoid a collision with another vehicle, even if doing so would violate a traffic law or rule of the road.

[0078] In other words, like a human driver of a vehicle, the autonomous vehicle 100 can be programmed to follow traffic laws and rules of the road, and to make decisions based on its programming and the information it receives from its sensors and other sources. The autonomous vehicle 100 can also be programmed to make decisions based on its programming and the information it receives from its sensors and other sources, even if those decisions are not in accordance with traffic laws and rules of the road. For example, the autonomous vehicle 100 can be programmed to avoid a collision with another vehicle, even if doing so would violate a traffic law or rule of the road.

[0079] It should be understood that portions of the present application can be implemented with hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented with software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, implementation can be with any or a combination of the following technologies, which are all well known in the art: a discrete logic circuit having logic gates for implementing logic functions upon an application of data signals, an application specific integrated circuit having appropriate combinational logic gates, a programmable gate array (PGA), a field programmable gate array (FPGA), etc. It should be understood that the foregoing embodiments are merely illustrative of the present application and are not to be used to limit the present application. Although the present application has been described in detail with reference to the preferred embodiments, it will be apparent to those skilled in the art that various changes and modifications can be contributed to the present application without departing from the spirit and scope of the present application, and such changes and modifications should be encompassed within the scope of the appended claims.

[0080] It should be understood that the foregoing embodiments are merely illustrative of the present application and are not to be used to limit the present application. Although the present application has been described in detail with reference to the preferred embodiments, it will be apparent to those skilled in the art that various changes and modifications can be contributed to the present application without departing from the spirit and scope of the present application, and such changes and modifications should be encompassed within the scope of the appended claims.

Claims

1. A BIM+5G-based intelligent regulation method for airport hub construction, characterized in that, Comprise: Collect real-time data on site to build a path construction sequence model, describe the execution logic, resource requirements and safety level requirements of the installation process of civil engineering, steel structure, fabricated components and mechanical and electrical pipeline layout, establish a process-resource-time three-dimensional structure matrix based on the BIM platform, and encode the carbon emission benchmark value associated with each process; Relying on 5G network and edge computing architecture, collect personnel positioning behavior, large equipment running state, material flow trajectory, environmental disturbance data and image auxiliary identification information on the construction site, synchronize to the path construction sequence model, map the space and time sequence consistent dynamic construction state set through component coding and semantic attribute mapping, identify the process as the unit, use the field comparison mechanism to build the construction disturbance mapping diagram, and mark the path deviation nodes, resource conflict points, path blockage sections and risk process areas; Based on the construction disturbance mapping diagram, a minimum disturbance optimization algorithm is constructed for four-dimensional disturbance cost of schedule, safety, cost and carbon emission, and intervention suggestions for process sequence adjustment, resource rearrangement, path decoupling and environmental avoidance are output, and structured control instructions are pushed to the responsible post, and the real-time tracking of construction response state is based on the intervention execution feedback mechanism. 2.The BIM+5G-based airport hub construction intelligent regulation method of claim 1, wherein: The real-time data on site includes construction personnel positioning and behavior data, construction machinery and equipment operation data, material in-out and consumption data, environmental disturbance sensor data and image auxiliary identification data, which are uploaded through the edge access gateway and semantically bound to the process nodes in the construction BIM model. 3.The BIM+5G-based airport hub construction intelligent regulation method of claim 2, wherein: The construction disturbance mapping diagram includes a directed graph structure with processes as nodes and inter-process dependency and conflict relationships as edges, with tags including schedule impact degree, safety risk level, resource conflict density and carbon emission offset, representing the disturbance propagation link in the current construction process. 4.The BIM+5G-based airport hub construction intelligent regulation method of claim 3, wherein: The minimum disturbance optimization algorithm includes adjusting the sequence or resource allocation in the path process under the premise of controlling the overall construction plan structure without changing, and using a rigid intervention mechanism for time coordination and risk mitigation for conflict nodes on the path. 5.The BIM+5G-based airport hub construction intelligent regulation method of claim 4, wherein: The intervention suggestions include construction plan adjustment list, resource allocation schedule, construction sequence change map, safety risk warning prompt and execution interface document, which are pushed to the construction post and scheduling platform. 6.The BIM+5G-based airport hub construction intelligent regulation method of claim 5, wherein: The intervention execution feedback mechanism includes triggering disturbance correction process when actual execution deviates from intervention target, responding through range sequence adjustment, resource peak shaving and equipment path recalculation strategy. 7.The BIM+5G-based intelligent regulation method for airport hub construction according to claim 6, characterized in that: The real-time tracking of construction response state includes archiving and modeling the response time, execution effect, risk change and resource consumption information in the construction process after the execution of the intervention scheme, forming a three-element knowledge sample set of execution event-response strategy-intervention effectiveness, and used for disturbance function parameter optimization and control rule migration in subsequent construction tasks. 8.A system using the BIM+5G-based airport hub construction intelligent regulation method according to any one of claims 1 to 7, characterized in that: Comprise construction benchmark model construction and multi-objective parameter setting module, real-time site state collection and conflict path identification module, minimum disturbance optimization execution and feedback closed-loop control module; The path planning module is used to build the construction time sequence, resource, safety, cost and carbon emission target parameter baseline, and provide a reference for control; The on-site state real-time acquisition and conflict path identification module is used for acquiring multi-source state data of a construction site, identifying key conflicts by comparison with a benchmark, and extracting a disturbance propagation path; The minimum disturbance optimization execution and feedback closed-loop regulation module is used for executing an intervention scheme and continuously monitoring feedback, optimizing if deviating from a target, and realizing dynamic closed-loop regulation in a whole construction process. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-8 when the computer program is executed by the processor. The computer program is executed by the processor to realize the steps of the BIM+5G-based airport hub construction intelligent regulation method in any one of claims 1 to 7.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to realize the steps of the BIM+5G-based airport hub construction intelligent regulation method in any one of claims 1 to 7.

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