A construction project management platform and method based on BIM simulation

Abstract

The application relates to the technical field of construction management, and discloses a construction project management platform and method based on BIM simulation, which comprises a management analysis module, a conflict resolution module, a dynamic deduction module, a resource optimization module, an efficiency evaluation module and an environment optimization module. The BIM simulation data of a target construction project is subjected to multi-dimensional management element analysis, and an integrated management environment is obtained. Conflicts of multiple construction plans are resolved, and a collaborative management instruction is obtained. The collaborative management instruction is subjected to dynamic deduction, and an optimized decision instruction is obtained. The project resources of the target construction project are subjected to compound target optimization, and an elastic allocation strategy is obtained. The elastic allocation strategy is applied to the target construction project, and an efficiency evaluation report of the elastic allocation strategy is obtained. The integrated management environment is subjected to logical optimization, and a target management environment of the target construction project is obtained. The application can improve the construction project management efficiency based on BIM simulation.

Description

Technical Field

[0001] This invention relates to the field of construction management technology, and in particular to a construction project management platform and method based on BIM simulation. Background Technology

[0002] Currently, static BIM models are widely used in construction project management for planning and management. This approach relies primarily on pre-established fixed models and a discrete management system. This traditional method suffers from a disconnect between model data and on-site construction conditions, failing to effectively integrate dynamically changing construction elements. This leads to systemic flaws such as delayed detection of plan conflicts and mismatches between resource allocation and real-time needs. Furthermore, the lack of collaboration mechanisms between management modules creates information silos, resulting in low project management efficiency and insufficient decision support capabilities.

[0003] Existing technologies struggle to achieve real-time integration and dynamic simulation of construction progress data, resulting in management directives lagging behind actual on-site changes. Resource allocation strategies lack multi-objective collaborative optimization capabilities and cannot adapt to flexible demand changes during construction. Furthermore, traditional management environments lack self-optimization mechanisms based on performance feedback, hindering continuous improvement of project management systems. This ultimately leads to problems such as inefficient resource allocation, increased risk of schedule delays, and limited overall management effectiveness. Therefore, improving the efficiency of BIM-based construction project management has become an urgent issue to be addressed. Summary of the Invention

[0004] This invention provides a construction project management platform and method based on BIM simulation to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, this invention provides a construction project management platform based on BIM simulation, characterized in that the platform includes a management analysis module, a conflict resolution module, a dynamic simulation module, a resource optimization module, a performance evaluation module, and an environmental optimization module, wherein:

[0006] The management analysis module is used to analyze the BIM simulation data of the target construction project in multiple dimensions to obtain the integrated management environment of the BIM simulation data.

[0007] The conflict resolution module is used to resolve conflicts among multiple construction plans of the target construction project based on the integrated management environment, and obtain collaborative management instructions for the multiple construction plans.

[0008] The dynamic simulation module is used to dynamically simulate the collaborative management instructions based on the real-time construction progress data collected for the target construction project, and obtain optimized decision instructions for the collaborative management instructions.

[0009] The resource optimization module is used to perform composite target optimization on the project resources of the target construction project based on the optimization decision instruction, so as to obtain a flexible allocation strategy for the project resources.

[0010] The performance evaluation module is used to apply the flexible allocation strategy to the target construction project and obtain a performance evaluation report of the flexible allocation strategy.

[0011] The environment optimization module is used to perform logical optimization on the integrated management environment based on the performance evaluation report to obtain the target management environment for the target construction project.

[0012] In a preferred embodiment, when the management parsing module performs multi-dimensional management element parsing on the BIM simulation data of the target construction project to obtain the integrated management environment of the BIM simulation data, it is specifically used for:

[0013] The BIM simulation data of the target construction project is integrated with management attributes to obtain a management element system for the BIM simulation data.

[0014] A multi-dimensional architecture analysis is performed on the structural features in the management element system to obtain the dimensional framework of the management element system;

[0015] The topological structure of the dimensional framework is obtained by reconstructing the relationships between the elements.

[0016] The associated features of the topology are integrated to obtain an integrated management environment for the BIM simulation data.

[0017] In a preferred embodiment, when the conflict resolution module executes conflict resolution instructions for multiple construction plans of the target construction project based on the integrated management environment to obtain collaborative management instructions for the multiple construction plans, it is specifically used for:

[0018] Spatiotemporal overlay analysis is performed on the various work processes of multiple construction plans in the target construction project to obtain the conflict areas between the various work processes;

[0019] Based on the resource constraints of the integrated management environment, the impact of the conflict areas is assessed to obtain a priority sequence for processing the conflict areas.

[0020] Constraints are integrated into the processing priority sequence to obtain a decision scheme for the processing priority sequence;

[0021] Based on the decision-making scheme, the trajectories of the multiple construction plans are optimized to obtain the collaborative paths of the multiple construction plans;

[0022] The collaborative path is configured with structured instructions to obtain the collaborative management instructions for the multiple construction plans.

[0023] In a preferred embodiment, when the dynamic simulation module performs dynamic simulation based on the real-time construction progress data collected from the target construction project to obtain the optimized decision instruction for the collaborative management instruction, it is specifically used for:

[0024] Multimodal evolution is performed on the construction progress data collected in real time for the target construction project to obtain a situation map of the construction progress data;

[0025] Based on the situation map, the operation trajectory conformity analysis is performed on the collaborative management instructions to obtain the deviation identification results of the collaborative management instructions;

[0026] A multi-dimensional impact analysis is performed on the deviation identification results to obtain an impact assessment report of the deviation identification results.

[0027] The decision parameters of the impact assessment report are adjusted to obtain the optimized decision instructions for the collaborative management instructions.

[0028] When the dynamic simulation module performs a multi-dimensional impact simulation on the deviation identification results to obtain an impact assessment report for the deviation identification results, it is specifically used for:

[0029] The deviation identification results are subjected to cross-dimensional influence transmission deconstruction to obtain the influence transmission characteristics of the deviation identification results;

[0030] Based on the situation map, the influence transmission features are time-varyingly correlated and integrated to obtain a dynamic correlation system of the influence transmission features;

[0031] The influence intensity of the dynamic correlation system is quantified to obtain the influence transmission intensity of the dynamic correlation system, wherein the calculation formula for the influence transmission intensity is:

[0032] ;

[0033] In the formula, To influence the conduction strength, The first deviation identification result Each influencing dimension at time The degree of importance, The situation map is the first Each influencing dimension at time The instantaneous change gradient of quality indicators, The preset influence attenuation coefficient, This refers to the starting time of the influence on conduction intensity. The termination time of the influence on conduction intensity;

[0034] An influence domain analysis is performed on the distribution of the influence on the conduction intensity to obtain an impact assessment report on the deviation identification results.

[0035] In a preferred embodiment, when the resource optimization module executes a composite objective optimization of the project resources of the target construction project based on the optimization decision instruction to obtain a flexible allocation strategy for the project resources, it is specifically used for:

[0036] Resource utility attributes are extracted from the project resources of the target construction project to obtain the utility feature set of the project resources;

[0037] Based on the optimization decision instructions, the utility feature set is subjected to full attribute association regularization to obtain the balance and adaptation system of the utility feature set;

[0038] By coordinating the resource elements of the balance and adaptation system, a resource allocation scheme for the balance and adaptation system is obtained.

[0039] The resource allocation scheme is subjected to elastic resource scheduling planning to obtain the elastic allocation strategy of the project resources.

[0040] When the resource optimization module performs resource element coordination on the balance and adaptation system to obtain the resource allocation scheme of the balance and adaptation system, it is specifically used for:

[0041] A resource supply and demand coupling analysis is performed on the aforementioned checks and balances adaptation system to obtain the supply and demand situation mapping of the system.

[0042] Based on the utility feature set, dynamic balance optimization is performed on the supply and demand situation mapping to obtain the resource coordination degree of the supply and demand situation mapping, wherein the calculation formula of the resource coordination degree is:

[0043] ;

[0044] In the formula, The resource coordination degree, For the first in the balance and adaptation system Coordination coefficient of resource class For the set of utility features, the first Class resources at any time The time-varying resource utilization function The preset resource elasticity coefficient, The preset resource demand attenuation factor, This is the starting point for resource allocation optimization in the aforementioned resource coordination degree. This is the termination time of resource allocation optimization in the aforementioned resource coordination degree;

[0045] The resource coordination degree is quantified for decision support to obtain the resource coordination index that maps the supply and demand situation;

[0046] By performing multi-objective resource allocation on the resource coordination indicators, the resource allocation scheme of the checks and balances adaptation system is obtained.

[0047] In a preferred embodiment, when the performance evaluation module applies the flexible allocation strategy to the target construction project and obtains a performance evaluation report for the flexible allocation strategy, it is specifically used for:

[0048] The work process is adapted and deployed according to the elastic allocation strategy to obtain the work process execution plan of the elastic allocation strategy;

[0049] Based on the process execution plan, efficiency data is captured for the target construction project to obtain the process efficiency dataset of the process execution plan.

[0050] The process performance dataset is analyzed to obtain a list of performance features for the process performance dataset;

[0051] Based on the performance feature list, the performance of the flexible allocation strategy is determined, and a performance evaluation report of the flexible allocation strategy is obtained.

[0052] In a preferred embodiment, when the environment optimization module performs logical optimization of the integrated management environment based on the performance evaluation report to obtain the target management environment for the target construction project, it is specifically used for:

[0053] Perform operational rule diagnosis on the integrated management environment to obtain a list of optimization requirements for the integrated management environment;

[0054] Based on the performance evaluation report, the optimization requirement list is logically reconstructed to obtain the environmental optimization scheme of the optimization requirement list;

[0055] The environmental optimization scheme is integrated to obtain the target management environment for the target construction project.

[0056] To address the aforementioned problems, this invention also provides a construction project management method based on BIM simulation, the method comprising:

[0057] S1. Perform multi-dimensional management element analysis on the BIM simulation data of the target construction project to obtain the integrated management environment of the BIM simulation data;

[0058] S2. Based on the integrated management environment, conflict resolution is performed on the multiple construction plans of the target construction project to obtain collaborative management instructions for the multiple construction plans;

[0059] S3. Based on the real-time construction progress data collected for the target construction project, dynamically deduce the collaborative management instructions to obtain optimized decision instructions for the collaborative management instructions;

[0060] S4. Based on the optimization decision instruction, perform composite target optimization on the project resources of the target construction project to obtain the elastic allocation strategy of the project resources;

[0061] S5. Apply the flexible allocation strategy to the target construction project to obtain an effectiveness evaluation report of the flexible allocation strategy;

[0062] S6. Based on the performance evaluation report, the integrated management environment is logically optimized to obtain the target management environment for the target construction project.

[0063] Compared with the prior art, the present invention has the following beneficial effects:

[0064] 1. This invention significantly improves the accuracy and efficiency of construction project management by constructing a complete intelligent management closed-loop system. The integrated management environment established through multi-dimensional management element analysis achieves systematic integration and visualized control of all project elements, providing a complete data foundation for subsequent management decisions. The dynamic extrapolation mechanism based on real-time construction progress data can promptly capture changes in on-site conditions and generate optimized decision-making instructions, ensuring that management instructions are always synchronized with actual construction. The intelligent conflict resolution function for multiple construction plans effectively identifies and coordinates various operational conflicts, generating collaborative management instructions, greatly improving the feasibility and execution coordination of construction plans.

[0065] 2. This invention, through a flexible resource allocation strategy achieved via composite objective optimization, significantly enhances the efficiency and adaptability of project resource allocation. The continuous optimization mechanism based on performance evaluation enables the management system to self-improve, ensuring the project management system maintains optimal operating status by constantly adjusting and optimizing the management environment. The collaborative operation between modules forms a complete management loop from planning to execution feedback, comprehensively improving the overall management efficiency and resource allocation level of construction projects, and providing reliable technical support for achieving high-quality project delivery. Attached Figure Description

[0066] Figure 1 A platform architecture diagram of a construction project management platform based on BIM simulation provided in an embodiment of the present invention;

[0067] Figure 2This is a flowchart illustrating a construction project management method based on BIM simulation, as provided in an embodiment of the present invention.

[0068] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0069] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments belong to some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0070] The terminology used in the embodiments of this invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. The singular forms “said” and “the” as used in the embodiments of this invention and the appended claims are also intended to include the plural forms, and “multiple” generally includes at least two unless the context clearly indicates otherwise.

[0071] Depending on the context, the word "if" or "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0072] Furthermore, the timing of the steps in the following method embodiments is merely an example and not a strict limitation.

[0073] In practice, the server-side equipment deployed by a BIM simulation-based construction project management platform may consist of one or more devices. This BIM simulation-based construction project management platform can be implemented as: a business instance, a virtual machine, and hardware devices. For example, this BIM simulation-based construction project management platform can be implemented as a business instance deployed on one or more devices in a cloud node. Simply put, this BIM simulation-based construction project management platform can be understood as software deployed on a cloud node, used to provide a BIM simulation-based construction project management platform for various user terminals. Alternatively, this BIM simulation-based construction project management platform can also be implemented as a virtual machine deployed on one or more devices in a cloud node. This virtual machine contains application software for managing various user terminals. Alternatively, this BIM simulation-based construction project management platform can also be implemented as a server composed of numerous identical or different types of hardware devices, with one or more hardware devices configured to provide a BIM simulation-based construction project management platform for various user terminals.

[0074] In terms of implementation, a BIM-based construction project management platform and its user terminal are mutually compatible. Specifically, if the BIM-based construction project management platform is implemented as an application installed on a cloud service platform, the user terminal acts as a client establishing a communication connection with that application; or if the BIM-based construction project management platform is implemented as a website, the user terminal acts as a webpage; or if the BIM-based construction project management platform is implemented as a cloud service platform, the user terminal acts as a mini-program within an instant messaging application.

[0075] like Figure 1 The diagram shown is a platform architecture diagram of a construction project management platform based on BIM simulation provided in an embodiment of the present invention.

[0076] The BIM simulation-based construction project management platform 100 described in this invention can be hosted on a cloud server. In terms of implementation, it can function as one or more service devices, or as an application installed on the cloud (e.g., a mobile service operator's server, server cluster, etc.), or it can be developed as a website. Depending on the functions implemented, the BIM simulation-based construction project management platform 100 may include a management parsing module 101, a conflict resolution module 102, a dynamic simulation module 103, a resource optimization module 104, a performance evaluation module 105, and an environmental optimization module 106. The modules described in this invention can also be referred to as units, which are a series of computer program segments that can be executed by an electronic device's processor and perform a fixed function, stored in the electronic device's memory.

[0077] In this embodiment of the invention, in a BIM simulation-based construction project management platform, each of the above-mentioned modules can be implemented independently and can call other modules. Here, "calling" can be understood as one module connecting to multiple modules of another type and providing corresponding services to those connected modules. In the BIM simulation-based construction project management platform provided by this embodiment of the invention, the applicability of the BIM simulation-based construction project management platform architecture can be adjusted by adding modules and directly calling them without modifying the program code, achieving cluster-based horizontal expansion to quickly and flexibly expand the BIM simulation-based construction project management platform. In practical applications, the above modules can be set in the same device or different devices, or they can be set in virtual devices, such as service instances in a cloud server.

[0078] The following describes, with reference to specific embodiments, the various components and specific workflows of a BIM-based construction project management platform:

[0079] The management analysis module 101 is used to perform multi-dimensional management element analysis on the BIM simulation data of the target construction project to obtain the integrated management environment of the BIM simulation data.

[0080] In this embodiment of the invention, when the management parsing module performs multi-dimensional management element parsing on the BIM simulation data of the target construction project to obtain the integrated management environment of the BIM simulation data, it is specifically used for:

[0081] The BIM simulation data of the target construction project is integrated with management attributes to obtain a management element system for the BIM simulation data.

[0082] A multi-dimensional architecture analysis is performed on the structural features in the management element system to obtain the dimensional framework of the management element system;

[0083] The topological structure of the dimensional framework is obtained by reconstructing the relationships between the elements.

[0084] The associated features of the topology are integrated to obtain an integrated management environment for the BIM simulation data.

[0085] When integrating management attributes into the BIM simulation data of the target construction project, all management-related attributes are extracted from the BIM simulation data, including cost data, time nodes, resource allocation information, and quality indicators. These attributes are then classified and categorized to form a unified structured data set. Connections are established through the logical relationships between attributes to ensure that each attribute is included in a complete system. The final management element system is a structured data set containing all management attributes and their interrelationships, providing a foundation for subsequent analysis.

[0086] When performing multi-dimensional architecture analysis on the structural features of the management element system, the constituent elements and their arrangement are analyzed. The structural features are decomposed and mapped from multiple perspectives such as time, space and function. Each element is assigned to the corresponding dimension, and a hierarchical relationship between dimensions is established. Through this analysis process, a clear dimensional framework is formed, which shows the organization and association paths of management elements in different dimensions, providing a basis for subsequent association reconstruction.

[0087] When reconstructing the relationships within a dimensional framework, the existing connections and dependencies between dimensions are examined to identify weak or missing connections. These connections are then redesigned to enhance the coherence and efficiency of the overall structure. Interactions between dimensions are optimized by adding new connections or adjusting existing relationships, ultimately forming a topology that presents the complex relationships between dimensions in a network form, ensuring smooth data flow and management instructions.

[0088] When constructing the associated features of the topology in an integrated manner, all associated features in the topology are integrated and coordinated to ensure the collaborative operation between the associated points. These features are integrated into a single management platform through a unified data interface and interaction mechanism, eliminating redundancy and conflicts, and finally generating an integrated management environment that can support real-time data exchange and decision execution, providing an efficient and unified operational foundation for construction project management.

[0089] The beneficial effects include establishing a complete construction management data foundation through systematic data integration and structural optimization, integrating scattered cost, time, resource, and quality attributes into a unified management element system, forming a data set with inherent logical connections. The dimensional framework constructed based on multi-dimensional architecture analysis achieves the orderly organization of management elements in time, space, and function dimensions, providing a clear structured foundation for subsequent analysis. The topological structure formed through the reconstruction of relationships effectively enhances the interaction efficiency between dimensions and establishes a stable and reliable data transmission channel. The final integrated management environment achieves the unified fusion of all related features, eliminates data redundancy and conflicts through a unified interface, and forms a collaborative management platform that supports real-time data exchange and decision execution, significantly improving the overall integrity and execution efficiency of construction project management.

[0090] The conflict resolution module 102 is used to resolve conflicts among multiple construction plans of the target construction project based on the integrated management environment, and obtain collaborative management instructions for the multiple construction plans.

[0091] In this embodiment of the invention, when the conflict resolution module executes the conflict resolution of multiple construction plans for the target construction project based on the integrated management environment to obtain the collaborative management instructions for the multiple construction plans, it is specifically used for:

[0092] Spatiotemporal overlay analysis is performed on the various work processes of multiple construction plans in the target construction project to obtain the conflict areas between the various work processes;

[0093] Based on the resource constraints of the integrated management environment, the impact of the conflict areas is assessed to obtain a priority sequence for processing the conflict areas.

[0094] Constraints are integrated into the processing priority sequence to obtain a decision scheme for the processing priority sequence;

[0095] Based on the decision-making scheme, the trajectories of the multiple construction plans are optimized to obtain the collaborative paths of the multiple construction plans;

[0096] The collaborative path is configured with structured instructions to obtain the collaborative management instructions for the multiple construction plans.

[0097] When performing spatiotemporal overlay analysis on the various work processes of multiple construction plans in a target construction project, the work processes included in each construction plan are mapped according to time progress and spatial location to establish a unified time axis and spatial coordinate system. By comparing and analyzing the spatial occupancy of different work processes in the same time interval, work areas with time overlap and spatial intersection are identified. These identified spatiotemporal overlap areas are the conflict areas between various work processes.

[0098] When assessing the impact of conflict zones based on resource constraints in the integrated management environment, the total amount of currently available resources and resource allocation rules are first extracted from the integrated management environment. Then, the demand intensity of critical resources in each conflict zone is analyzed, and the degree of project delay and safety risk level that resource conflicts may cause are assessed. Based on the comprehensive score results of delay time and risk level, all conflict zones are ranked to form a processing priority sequence.

[0099] When integrating constraints for the priority sequence, time constraints, resource constraints, and technical specification constraints from project management are collected. These constraints are matched and analyzed with each conflict area in the priority sequence to determine the specific limitations that the solution for each conflict area must meet. By coordinating the relationships between various constraints, a unified decision-making basis is formed, and finally, a decision scheme for the priority sequence is generated.

[0100] When optimizing the trajectory of multiple construction plans based on decision schemes, the operation paths and time arrangements of each construction plan are replanned according to the solution direction and constraints determined by the decision scheme. The distribution of conflicting operation processes in time and space is adjusted to eliminate mutual interference between different plans, so that all construction plans can be coordinated and promoted, and finally a collaborative path of multiple construction plans is formed.

[0101] When configuring structured instructions for collaborative paths, the optimized collaborative paths are transformed into specific executable operation instructions. The start time, end time, required resource types and quantities, quality acceptance standards, and safety precautions are clearly defined for each work process. These instructions are organized and arranged according to the logical relationship of the construction process to form multi-construction plan collaborative management instructions with clear execution order and content.

[0102] The beneficial effects include significantly enhanced coordination and execution efficiency of construction projects through a comprehensive conflict management process. Spatiotemporal overlay analysis precisely maps the time schedule and spatial location of each work process, identifying overlapping conflict areas and laying the foundation for subsequent handling. Based on resource constraints within the integrated management environment, the impact of conflict areas is assessed, comprehensively considering schedule delays and safety risks to form a priority sequence, ensuring that critical issues are resolved first. Constraint integration collects various restrictions in project management, matches them with the priority sequence, generates a unified decision-making scheme, and provides a clear solution framework. Trajectory optimization replans work paths based on the decision scheme, adjusts spatiotemporal distribution, forms collaborative paths, eliminates inter-plan interference, and achieves harmonious progress of multiple plans. Structured instruction configuration transforms collaborative paths into detailed operational instructions, including time, resource, quality, and safety requirements, organized into logically rigorous collaborative management instructions to ensure standardized execution of the construction process. This mechanism, from conflict detection to instruction generation, constructs an efficient management closed loop, improving the overall operational level of the project.

[0103] The dynamic simulation module 103 is used to dynamically simulate the collaborative management instructions based on the real-time construction progress data collected from the target construction project, and obtain the optimized decision instructions for the collaborative management instructions.

[0104] In this embodiment of the invention, when the dynamic simulation module executes dynamic simulation based on the real-time construction progress data collected from the target construction project to obtain the optimized decision instruction for the collaborative management instruction, it is specifically used for:

[0105] Multimodal evolution is performed on the construction progress data collected in real time for the target construction project to obtain a situation map of the construction progress data;

[0106] Based on the situation map, the operation trajectory conformity analysis is performed on the collaborative management instructions to obtain the deviation identification results of the collaborative management instructions;

[0107] A multi-dimensional impact analysis is performed on the deviation identification results to obtain an impact assessment report of the deviation identification results.

[0108] The decision parameters of the impact assessment report are adjusted to obtain the optimized decision instructions for the collaborative management instructions.

[0109] When the dynamic simulation module performs a multi-dimensional impact simulation on the deviation identification results to obtain an impact assessment report for the deviation identification results, it is specifically used for:

[0110] The deviation identification results are subjected to cross-dimensional influence transmission deconstruction to obtain the influence transmission characteristics of the deviation identification results;

[0111] Based on the situation map, the influence transmission features are time-varyingly correlated and integrated to obtain a dynamic correlation system of the influence transmission features;

[0112] The influence intensity of the dynamic correlation system is quantified to obtain the influence transmission intensity of the dynamic correlation system, wherein the calculation formula for the influence transmission intensity is:

[0113] ;

[0114] In the formula, To influence the conduction strength, The first deviation identification result Each influencing dimension at time The degree of importance, The situation map is the first Each influencing dimension at time The instantaneous change gradient of quality indicators, The preset influence attenuation coefficient, This refers to the starting time of the influence on conduction intensity. The termination time of the influence on conduction intensity;

[0115] An influence domain analysis is performed on the distribution of the influence on the conduction intensity to obtain an impact assessment report on the deviation identification results.

[0116] When performing multimodal evolution on real-time construction progress data collected for the target construction project, the real-time monitoring data from the sensor network, the structured data from the progress management system, and the unstructured data from on-site inspection records are spatiotemporally aligned and format-normalized. Through data cleaning and feature extraction techniques, core characteristic indicators reflecting the construction status are extracted from the multi-source data, including key information such as equipment operating status parameters, personnel activity trajectory coordinates, and material consumption rate curves. Data fusion methods are used to integrate these features into a comprehensive data representation with spatiotemporal consistency, constructing a construction progress data status map that comprehensively reflects the current construction status. This status map organizes construction status information in a hierarchical structure, encompassing both macro-level overall progress overview and micro-level local operational details, forming a complete visual representation of the construction status.

[0117] When performing work trajectory conformity analysis on collaborative management instructions based on the situation map, the planned work trajectory specified in the management instructions is compared item by item with the actual construction trajectory presented in the situation map. By establishing a time-space dual comparison mechanism, the progress deviation value in the time dimension and the position offset in the spatial dimension of each work node are accurately calculated. A threshold judgment method is used to identify abnormal nodes that exceed the allowable error range, and detailed information such as the direction and degree of deviation is recorded. Finally, a complete deviation identification result containing the coordinates, deviation type, and deviation value of all abnormal nodes is generated, providing an accurate data foundation for subsequent impact analysis.

[0118] When deconstructing the cross-dimensional impact transmission of deviation identification results, the potential impact propagation path of each deviation point is analyzed from three dimensions: time, resources, and quality. By establishing a deviation impact propagation network, the potential delays in subsequent operations caused by a single deviation in the time dimension, the possible supply-demand imbalances in the resource dimension, and the potential chain reactions in the quality dimension are tracked. Path analysis methods are used to clarify the interaction relationships and impact transmission mechanisms between each dimension, thereby obtaining a characteristic description of impact transmission that includes the complete propagation path, impact mode, and intensity.

[0119] When integrating time-varying correlations of influence transmission characteristics based on situational maps, the real-time construction status data provided by the situational maps is used to dynamically monitor the changing trends of influence transmission characteristics across various dimensions. By establishing an influence path correlation matrix, the coupling relationships and interaction strengths between different influence paths are analyzed. Temporal correlation techniques are employed to track the dynamic changes in correlation strength, constructing a dynamic correlation system that reflects the spatiotemporal evolution of influence transmission. This system comprehensively describes the correlation status and evolutionary trends of each element during the influence transmission process.

[0120] When quantifying the impact intensity of a dynamic interconnected system, a multidimensional assessment method is employed to calculate the intensity index of impact transmission from both temporal and spatial dimensions. The temporal dimension impact efficiency value is calculated by analyzing the duration and propagation speed of the impact transmission path; the spatial dimension impact range value is calculated by assessing the scope of the impact and the criticality of the affected operations. A weighted comprehensive assessment method is then used to integrate the temporal and spatial indicators into a unified quantitative value of impact intensity, resulting in an impact transmission intensity index of the dynamic interconnected system that accurately reflects the severity of the impact.

[0121] When conducting influence domain analysis on the distribution of influence transmission intensity, the calculated influence transmission intensity values ​​are mapped onto a spatial distribution map of the construction area. Contour analysis is used to divide influence areas into different levels based on intensity values, clearly defining the boundaries and degree of influence of each area. By comprehensively analyzing the spatial distribution characteristics and temporal evolution trends of influence intensity, a complete influence assessment report is generated, including the definition of the influence area, the classification of influence levels, and the prediction of evolution trends.

[0122] When adjusting decision parameters in the impact assessment report, the system evaluates the parameter settings in the original management instructions based on the severity and scope of the impact identified in the report. For high-impact areas, priority is given to adjusting work sequence parameters, re-planning resource allocation parameters, and optimizing quality control parameter settings. Through parameter optimization, new parameter combinations are formed to adapt to the actual construction conditions, ultimately generating optimized decision-making instructions for collaborative management that can effectively address current construction deviations.

[0123] The importance parameter in the formula for calculating the influence transmission intensity comes from the dynamic evaluation data of each influence dimension in the deviation identification results. The gradient parameter of the instantaneous change of the quality index comes from the real-time monitoring data of each influence dimension in the situation map. The influence attenuation coefficient is a fixed value set in advance. The start time and the end time are boundary values ​​determined according to the time range of the influence transmission process.

[0124] The significance of this formula lies in the fact that it accumulates the instantaneous impact contribution values ​​of all influencing dimensions from the start time to the end time through integral operation. The instantaneous impact contribution of each influencing dimension is obtained by multiplying the importance of that dimension by the instantaneous change gradient of the quality index and then multiplying by the exponential decay factor. The final calculation result represents the overall influence transmission strength.

[0125] The formula shows that due to the exponential decay factor, the influence intensity gradually weakens over time, the influence contribution at earlier time points is greater than that at later time points, and the overall influence transmission intensity shows a decreasing characteristic over time.

[0126] The beneficial effects include significantly improving the accuracy and responsiveness of construction project management by constructing a complete real-time data analysis and decision optimization chain. Multimodal evolution standardizes sensor monitoring data, progress system data, and inspection records, forming a comprehensive situation map reflecting the current construction status through feature extraction and data fusion, providing a complete data foundation for subsequent analysis. Work trajectory conformity analysis accurately identifies deviation nodes and records detailed information by comparing the spatiotemporal differences between planned and actual trajectories, resulting in accurate deviation identification results. Cross-dimensional impact transmission deconstruction analyzes the propagation path and interaction mechanism of deviations from three dimensions: time, resources, and quality, revealing the laws of impact transmission and obtaining a complete description of impact transmission characteristics. Time-varying correlation integration utilizes the situation map to dynamically track the changing trends of impact characteristics, establishes coupling relationships between impact paths, and constructs a dynamic correlation system reflecting spatiotemporal evolution characteristics. Impact intensity quantification calculates indicators in the time and space dimensions using multi-dimensional assessment methods, integrating them to form a unified impact transmission intensity value, accurately quantifying the severity of the impact. Impact domain analysis maps the intensity values ​​to a spatial distribution map, divides impact level areas through contour lines, and forms an impact assessment report that includes scope definition and trend prediction. The decision-making parameters are adjusted by reassessing the work sequence, resource allocation, and quality control parameters based on the report content. After optimizing the parameter settings, optimized decision-making instructions are generated to adapt to the actual situation. The entire process achieves closed-loop management from data collection to instruction optimization, ensuring that the construction process remains under control and effectively improving project execution efficiency and risk response capabilities.

[0127] By establishing a precise calculation mechanism for the intensity of impact transmission, a quantitative assessment and dynamic tracking of the impact of construction deviations were achieved. The importance parameter is directly derived from the dynamic assessment data of each impact dimension in the deviation identification results, while the instantaneous change gradient parameter of the quality index is taken from the real-time monitoring data of the situation map. Combined with a preset impact attenuation coefficient and a clear time boundary, a complete calculation system is constructed. This calculation process accumulates the instantaneous contribution values ​​of each impact dimension over time through integral operations. The contribution value of each dimension is obtained by multiplying its importance by the quality change gradient and then incorporating exponential decay adjustment. The final value accurately reflects the overall intensity of impact transmission. The trend characteristics of the calculation results show a regular attenuation over time, with the impact contribution at earlier time points being significantly greater than that at later time points. This ensures the key control of short-term impacts and the reasonable prediction of long-term impacts, providing accurate data support for construction management decisions.

[0128] The resource optimization module 104 is used to perform composite target optimization on the project resources of the target construction project based on the optimization decision instruction, so as to obtain an elastic allocation strategy for the project resources.

[0129] In this embodiment of the invention, when the resource optimization module executes the optimization decision instruction to perform composite target optimization on the project resources of the target construction project and obtains a flexible allocation strategy for the project resources, it is specifically used for:

[0130] Resource utility attributes are extracted from the project resources of the target construction project to obtain the utility feature set of the project resources;

[0131] Based on the optimization decision instructions, the utility feature set is subjected to full attribute association regularization to obtain the balance and adaptation system of the utility feature set;

[0132] By coordinating the resource elements of the balance and adaptation system, a resource allocation scheme for the balance and adaptation system is obtained.

[0133] The resource allocation scheme is subjected to elastic resource scheduling planning to obtain the elastic allocation strategy of the project resources.

[0134] When the resource optimization module performs resource element coordination on the balance and adaptation system to obtain the resource allocation scheme of the balance and adaptation system, it is specifically used for:

[0135] A resource supply and demand coupling analysis is performed on the aforementioned checks and balances adaptation system to obtain the supply and demand situation mapping of the system.

[0136] Based on the utility feature set, dynamic balance optimization is performed on the supply and demand situation mapping to obtain the resource coordination degree of the supply and demand situation mapping, wherein the calculation formula of the resource coordination degree is:

[0137] ;

[0138] In the formula, The resource coordination degree, For the first in the balance and adaptation system Coordination coefficient of resource class For the set of utility features, the first Class resources at any time The time-varying resource utilization function The preset resource elasticity coefficient, The preset resource demand attenuation factor, This is the starting point for resource allocation optimization in the aforementioned resource coordination degree. This is the termination time of resource allocation optimization in the aforementioned resource coordination degree;

[0139] The resource coordination degree is quantified for decision support to obtain the resource coordination index that maps the supply and demand situation;

[0140] By performing multi-objective resource allocation on the resource coordination indicators, the resource allocation scheme of the checks and balances adaptation system is obtained.

[0141] When extracting resource utility attributes for a target construction project, basic information on various resources is extracted from the project resource database. This includes skill levels and work efficiency of human resources, performance parameters and usage status of equipment resources, and specifications and inventory quantities of material resources. By analyzing resource usage records and performance in historical projects, core attributes of each resource type in terms of cost-effectiveness, efficiency, and reliability are identified. These attributes are then categorized and organized according to resource type and usage scenario to form a structured resource utility attribute dataset, ultimately constructing a project resource utility feature set containing all key resource utility indicators.

[0142] When performing full-attribute correlation normalization on the utility feature set based on optimization decision instructions, the intrinsic relationships between attributes in the utility feature set are analyzed according to the resource allocation goals and constraints specified in the optimization decision instructions. By establishing an attribute correlation matrix, the interdependencies of different resource attributes in the temporal, spatial, and functional dimensions are identified. All attributes are reordered and grouped according to resource usage priority and attribute correlation strength, forming a hierarchical attribute correlation network. Finally, a utility feature set check-and-balance system that reflects the complex constraints and balance relationships among resource attributes is constructed.

[0143] When conducting resource supply and demand coupling analysis on a checks and balances system, resource supply characteristics and project demand characteristics are extracted from the system to establish a matching relationship model between supply and demand. By comparing resource supply capacity with resource demand at each stage of the project, specific types of resources with oversupply or undersupply and the timing of their occurrence are identified. The potential impact of supply and demand imbalances on project schedule and quality is analyzed, and a dynamic change diagram of resource supply and demand relationships is drawn. Ultimately, a supply and demand situation mapping of the checks and balances system is formed, clearly showing the status and trends of resource supply and demand.

[0144] When dynamically balancing and optimizing the supply-demand situation mapping based on a utility feature set, the utility indicators of various resources within the utility feature set are used to assess the substitutability and complementarity of different resources under supply-demand imbalance conditions. By adjusting resource allocation schemes and timing, the optimal balance between supply and demand is sought. An iterative optimization approach is employed to continuously improve resource allocation strategies, calculating resource utilization efficiency and supply-demand matching degree under each optimization scheme. Ultimately, the resource coordination degree of the supply-demand situation mapping, reflecting the degree of resource coordination, is obtained.

[0145] When quantifying resource coordination to support decision-making, a quantitative evaluation standard for resource coordination is established based on the actual needs of project management decisions. Resource coordination is transformed into numerical indicators with clear physical meaning, including specific indicators such as resource utilization rate, supply-demand matching rate, and allocation efficiency. Standardization allows for comparison and comprehensive evaluation of the coordination levels of different resource types. Ultimately, this results in resource coordination indicators that directly support management decisions and map supply and demand dynamics.

[0146] When allocating resources based on multi-objective coordination indicators, multiple objectives are considered simultaneously, including minimizing resource usage costs, maximizing allocation efficiency, and optimizing risk control. By establishing a multi-objective optimization function, the optimal resource allocation scheme that satisfies all constraints is sought. A hierarchical sequential method is used to process each optimization objective sequentially, ensuring that the optimization requirements of key objectives are prioritized. Ultimately, a resource allocation scheme that achieves the best balance among multiple objectives is generated.

[0147] When developing flexible resource scheduling plans for resource allocation schemes, it is essential to analyze various uncertainties that may arise during project execution, including schedule changes, resource failures, and demand fluctuations. Contingency plans and adjustment mechanisms should be designed to address unforeseen circumstances, establishing resource buffer zones and emergency allocation channels. Time flexibility windows and quantity flexibility ranges for resource scheduling should be defined to ensure the resource allocation scheme possesses the flexibility and robustness to adapt to changes. Ultimately, this results in a flexible resource allocation strategy that can effectively cope with various uncertainties.

[0148] The coordination coefficient parameter in the resource coordination degree calculation formula is derived from the priority and correlation strength data of each type of resource in the balance and adaptation system. The time-varying resource utilization rate function parameter is derived from the actual usage efficiency data of various resources recorded in the utility characteristic set over historical time periods. The resource elasticity coefficient is an adjustable parameter pre-set according to the resource type, reflecting the substitutability and scalability of resources. The resource demand decay factor is a parameter pre-set according to resource characteristics, characterizing the natural weakening law of resource demand over time. The start time and end time are the boundary values ​​of the complete time interval determined according to the project resource allocation cycle.

[0149] This formula calculates the coordinated contribution of all resource types from the start to the end time through integral operations. The coordinated contribution of each resource type at each time point is composed of a coordination coefficient multiplied by a logarithmically processed resource utilization function value, and then multiplied by an exponential decay factor. The logarithmic processing smooths out fluctuations caused by changes in resource utilization, while the exponential decay factor reflects the gradual weakening of the resource coordination effect over time. The final calculation result represents the overall coordination degree of all resource types over the entire time interval.

[0150] The formula calculations show that coordination efficiency gradually increases over time, but the rate of increase gradually slows down. Increased resource utilization leads to improved coordination efficiency, but the magnitude of this increase gradually decreases as utilization increases. A higher resource elasticity coefficient indicates lower sensitivity of coordination efficiency to changes in utilization. A higher demand decay factor results in a faster decay of the coordination contribution in later time periods, leading to a corresponding decrease in overall coordination efficiency. These characteristics enable coordination efficiency calculations to accurately reflect the actual effectiveness of resource allocation.

[0151] The beneficial effects include achieving efficient allocation and flexible scheduling of project resources through the establishment of a complete resource management system. Resource utility attribute extraction extracts detailed information on human, equipment, and material resources from the resource database, identifies core attributes such as cost-effectiveness and efficiency based on historical usage records, and constructs a project resource utility feature set containing all key utility indicators. Full attribute association and normalization analyzes the inherent relationships between attributes based on optimization decision instructions, identifies dependencies in various dimensions by establishing an attribute association matrix, and forms a hierarchical utility feature set balancing and adaptation system. Resource supply and demand coupling analysis extracts supply and demand characteristics to establish a matching model, identifies resource types and time periods of supply and demand imbalance, and forms a balancing and adaptation system that reflects the trend of resource status changes—a supply and demand situation mapping. Dynamic balance optimization utilizes the utility feature set to assess resource substitutability and complementarity, seeks the optimal supply and demand balance point through iterative optimization, and obtains a supply and demand situation mapping resource coordination degree reflecting the degree of coordination. Decision support quantification establishes coordination degree evaluation standards, transforms them into specific indicators such as resource utilization rate and supply and demand matching rate, and forms supply and demand situation mapping resource coordination indicators that can directly support decision-making through standardization. Multi-objective resource allocation simultaneously considers objectives such as cost minimization, efficiency maximization, and risk optimization. A hierarchical sequential approach is used to process each objective sequentially, generating a resource allocation scheme that achieves an optimal balance and adaptability. Flexible resource scheduling planning analyzes uncertainties such as schedule changes and resource failures, designs backup plans and emergency allocation mechanisms, establishes time flexibility windows and quantity flexibility ranges, and ultimately forms a flexible and adaptable project resource allocation strategy. This entire mechanism ensures accuracy, coordination, and responsiveness throughout the resource management process.

[0152] The resource coordination degree calculation formula enables precise quantitative assessment and dynamic optimization of project resource allocation. The coordination coefficient parameter is directly derived from the priority ranking and correlation strength data of each type of resource in the balance and adaptation system. The time-varying resource utilization rate function parameter is derived from the actual usage efficiency data of various resources in the historical time period recorded in the utility characteristic set. The resource elasticity coefficient is an adjustable parameter set in advance according to the resource type, used to reflect the substitutability and expansion capability of the resource. The resource demand decay factor is a parameter set in advance according to the resource characteristics, used to characterize the natural weakening law of resource demand over time. The start time and end time are complete time interval boundary values ​​determined according to the project resource allocation cycle, ensuring that the calculation range is consistent with the actual project progress. This formula calculates the coordination contribution of all resource types from the start to the end time through integral operations. The coordination contribution of each resource type at each time point is composed of a coordination coefficient multiplied by a logarithmically processed resource utilization function value, and then multiplied by an exponential decay factor. The logarithmic processing smooths out fluctuations caused by changes in resource utilization, avoiding excessive influence of extreme values ​​on the results. The exponential decay factor reflects the characteristic that the resource coordination effect gradually weakens over time. The final calculation result represents the comprehensive coordination degree of all resource types over the entire time interval, providing a unified quantitative basis for resource management decisions. The formula shows that the coordination degree gradually increases over time, but the rate of increase gradually slows down. An increase in resource utilization will lead to an increase in coordination degree, but the magnitude of the increase will gradually decrease as utilization increases. The larger the resource elasticity coefficient, the lower the sensitivity of coordination degree to changes in utilization. The larger the demand decay factor, the faster the coordination contribution value decays in later time periods, and the overall coordination degree will decrease accordingly. These characteristics enable the coordination degree calculation to accurately reflect the actual effect of resource allocation, ensuring that the resource allocation plan meets both immediate needs and long-term adaptability, thereby improving the efficiency and stability of project management.

[0153] The performance evaluation module 105 is used to apply the flexible allocation strategy to the target construction project and obtain a performance evaluation report of the flexible allocation strategy.

[0154] In this embodiment of the invention, when the performance evaluation module applies the flexible allocation strategy to the target construction project and obtains a performance evaluation report of the flexible allocation strategy, it is specifically used for:

[0155] The work process is adapted and deployed according to the elastic allocation strategy to obtain the work process execution plan of the elastic allocation strategy;

[0156] Based on the process execution plan, efficiency data is captured for the target construction project to obtain the process efficiency dataset of the process execution plan.

[0157] The process performance dataset is analyzed to obtain a list of performance features for the process performance dataset;

[0158] Based on the performance feature list, the performance of the flexible allocation strategy is determined, and a performance evaluation report of the flexible allocation strategy is obtained.

[0159] When deploying a flexible resource allocation strategy to adapt to different work processes, resources are specifically allocated to each work process according to the resource allocation principles and time schedule defined in the strategy. By analyzing the technological requirements and resource needs of each process, the specific usage methods and time points for each type of resource within the process are determined. A resource-process matching table is established, clarifying the type, quantity, and duration of resources required for each process. A time plan and handover process for resource allocation are developed to ensure smooth resource flow between processes. Finally, a flexible resource allocation strategy process execution plan is formed, including details of resource allocation and time schedules.

[0160] When capturing performance data for a target construction project based on a work process execution plan, various performance data are collected during the project execution process according to the time nodes and monitoring requirements specified in the plan. Actual resource usage is recorded using on-site monitoring equipment, including man-hours, equipment operating time, and material consumption. Work process completion progress and quality inspection results are collected, recording the actual start time, end time, and completion quality of each process. Resource utilization efficiency indicators are compiled, including data on man-hour utilization rate, equipment operating rate, and material loss rate. Finally, a complete work process execution plan performance dataset is formed, recording all indicators of the construction process.

[0161] When analyzing the process efficiency dataset, the various efficiency indicators recorded in the dataset are categorized and organized according to resource type and work process category. The relationships between the indicators are analyzed to identify key factors affecting overall efficiency. Core indicators reflecting resource utilization efficiency, work process execution quality, and schedule control effectiveness are extracted. These core indicators are then standardized and normalized to eliminate dimensional differences. Finally, a well-organized and focused list of process efficiency dataset performance characteristics is generated.

[0162] When assessing the effectiveness of a flexible allocation strategy based on a performance characteristic checklist, the performance of the strategy in practical application is evaluated according to the various performance characteristic indicators listed in the checklist. By comparing and analyzing the expected goals of the strategy with the actual results, the effectiveness of the strategy in resource allocation, schedule control, and quality management is determined. The strengths and problems encountered during strategy implementation are identified, and the causes and extent of the problems are analyzed. The strategy's performance in responding to construction changes and uncertainties is comprehensively evaluated to determine its flexible adjustment capability. Finally, a comprehensive performance evaluation report of the flexible allocation strategy reflecting the effectiveness of its implementation is generated.

[0163] The beneficial effects include achieving precise control and continuous optimization of construction project resource management through the establishment of a complete strategy implementation evaluation system. Work process adaptation deployment transforms flexible allocation strategies into concrete and operable resource allocation plans. By analyzing process characteristics and resource requirements, a matching table is established, detailed time plans and handover processes are formulated, resulting in a process execution plan that includes resource allocation details. Performance data capture comprehensively collects various performance indicators during the construction process according to the system requirements of the execution plan. Resource usage data and process completion status are recorded through monitoring equipment, forming a complete process performance dataset reflecting the actual construction status. Performance analysis systematically classifies and organizes various indicators in the dataset, identifies key influencing factors and extracts core performance characteristics. Standardization eliminates dimensional differences, forming a well-organized performance characteristic list. Performance judgment comprehensively evaluates the strategy implementation effect based on the indicators in the characteristic list. By comparing expected goals with actual results, the effectiveness of the strategy in resource allocation, schedule control, and quality management is analyzed. Advantages and problems are identified, and flexible adjustment capabilities are assessed, ultimately forming a comprehensive and objective performance evaluation report. The entire mechanism realizes closed-loop management from strategy deployment to effect evaluation, providing a reliable basis for resource optimization and strategy improvement of construction projects, and significantly improving the level of precision and dynamic control capabilities of project management.

[0164] The environment optimization module 106 is used to perform logical optimization on the integrated management environment based on the performance evaluation report to obtain the target management environment for the target construction project.

[0165] In this embodiment of the invention, when the environment optimization module performs logical optimization on the integrated management environment based on the performance evaluation report to obtain the target management environment for the target construction project, it is specifically used for:

[0166] Perform operational rule diagnosis on the integrated management environment to obtain a list of optimization requirements for the integrated management environment;

[0167] Based on the performance evaluation report, the optimization requirement list is logically reconstructed to obtain the environmental optimization scheme of the optimization requirement list;

[0168] The environmental optimization scheme is integrated to obtain the target management environment for the target construction project.

[0169] When diagnosing operational rules in the integrated management environment, a comprehensive examination of the execution and interactions of all management rules within the environment is conducted. By analyzing all management rules stored in the rule base, including resource allocation rules, schedule control rules, and quality control rules, the applicability and effectiveness of each rule in the current project environment are evaluated. Conflicts or duplicates between rules are detected, and discrepancies between rules and actual conditions are identified. The execution effectiveness of key rules is tested in a simulated environment, and any anomalies or inefficiencies encountered during rule execution are recorded. Based on the diagnostic results, a list of rules requiring modification, addition, or deletion is compiled, forming a well-organized optimization requirement list for the integrated management environment.

[0170] When logically reconstructing the optimization requirements list based on the performance evaluation report, carefully analyze the system operation performance data and problem analysis conclusions reflected in the report. Based on the main performance bottlenecks and improvement directions identified in the report, reassess the priority and interrelationships of each requirement in the optimization requirements list. Adjust the order of optimization requirements, placing key requirements affecting overall system performance in priority positions. Reconstruct the logical connections between requirements, establishing a hierarchical structure from basic optimization to advanced optimization. Design implementation plans that meet the performance improvement goals, clarifying the specific optimization content and implementation paths for each requirement. Finally, form a complete and logically rigorous optimization requirements list environment optimization plan.

[0171] When integrating environmental optimization strategies, the overall goals of project management and the collaborative relationships between various stages should be comprehensively considered. The various optimization measures proposed in the environmental optimization plan should be analyzed, and their requirements in terms of resource input, time frame, and implementation difficulty should be assessed. The coordination between different optimization measures should be coordinated to eliminate potential conflicts or duplications. A unified implementation strategy should be formed, clarifying the execution sequence of optimization measures and resource allocation plans. An optimization effect evaluation mechanism and risk control measures should be established to ensure the smooth progress of the optimization process. Ultimately, an optimization strategy system that meets project management needs and coordinates all stages should be constructed, forming a target management environment for the target construction project.

[0172] The target management environment includes a complete rule system, optimized process design, and coordinated resource allocation mechanisms, enabling efficient management throughout the entire project lifecycle. This environment maintains optimal operation through continuous monitoring and dynamic adjustments, ensuring the effective achievement of project management objectives. All management functions are organically integrated within this environment, forming a unified and coordinated working platform. The final delivered target management environment possesses self-optimization capabilities, adapting to the dynamic changes in project management needs.

[0173] The beneficial effects include building a highly adaptive project management system through a systematic environmental optimization process. The operational rule diagnosis comprehensively examines the execution status and interactions of various management rules within the integrated management environment, analyzes the applicability of rules related to resource allocation, schedule control, and quality control, detects rule conflicts and execution anomalies, and generates a well-organized list of optimization requirements. Logical restructuring, based on system performance data reflected in the performance evaluation report, re-evaluates requirement priorities and establishes a hierarchical structure, designs specific optimization paths, and forms a complete system-wide environmental optimization plan. Strategy integration comprehensively considers the overall project management objectives, coordinates the resource allocation and implementation sequence of various optimization measures, establishes an effect evaluation and risk control mechanism, and constructs a unified and coordinated optimization strategy system, ultimately forming a target management environment with a complete rule system and self-optimization capabilities. This environment maintains optimal operating status through continuous monitoring and dynamic adjustment, achieving organic integration of management functions, providing an efficient and coordinated work platform for the entire project process, ensuring the effective achievement of project management objectives, and adapting to dynamically changing needs.

[0174] Reference Figure 2 The diagram shown illustrates a flowchart of a BIM-based construction project management method according to an embodiment of the present invention. In this embodiment, the BIM-based construction project management method includes:

[0175] S1. Perform multi-dimensional management element analysis on the BIM simulation data of the target construction project to obtain the integrated management environment of the BIM simulation data;

[0176] S2. Based on the integrated management environment, conflict resolution is performed on the multiple construction plans of the target construction project to obtain collaborative management instructions for the multiple construction plans;

[0177] S3. Based on the real-time construction progress data collected for the target construction project, dynamically deduce the collaborative management instructions to obtain optimized decision instructions for the collaborative management instructions;

[0178] S4. Based on the optimization decision instruction, perform composite target optimization on the project resources of the target construction project to obtain the elastic allocation strategy of the project resources;

[0179] S5. Apply the flexible allocation strategy to the target construction project to obtain an effectiveness evaluation report of the flexible allocation strategy;

[0180] S6. Based on the performance evaluation report, the integrated management environment is logically optimized to obtain the target management environment for the target construction project.

[0181] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0182] The embodiments of this application can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence is the theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results.

[0183] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A construction project management platform based on BIM simulation, characterized in that, The platform includes a management and analysis module, a conflict resolution module, a dynamic simulation module, a resource optimization module, a performance evaluation module, and an environmental optimization module, wherein: The management analysis module is used to analyze the BIM simulation data of the target construction project in multiple dimensions to obtain the integrated management environment of the BIM simulation data. The conflict resolution module is used to resolve conflicts among multiple construction plans for the target construction project based on the integrated management environment, and to obtain collaborative management instructions for the multiple construction plans, specifically for: Spatiotemporal overlay analysis is performed on the various work processes of multiple construction plans in the target construction project to obtain the conflict areas between the various work processes; Based on the resource constraints of the integrated management environment, the impact of the conflict areas is assessed to obtain a priority sequence for processing the conflict areas. Constraints are integrated into the processing priority sequence to obtain a decision scheme for the processing priority sequence; Based on the decision-making scheme, the trajectories of the multiple construction plans are optimized to obtain the collaborative paths of the multiple construction plans; The collaborative path is configured with structured instructions to obtain the collaborative management instructions for the multiple construction plans; The dynamic simulation module is used to dynamically simulate the collaborative management instructions based on the real-time construction progress data collected for the target construction project, and to obtain optimized decision instructions for the collaborative management instructions. Specifically, it is used for: Multimodal evolution is performed on the construction progress data collected in real time for the target construction project to obtain a situation map of the construction progress data; Based on the situation map, the operation trajectory conformity analysis is performed on the collaborative management instructions to obtain the deviation identification results of the collaborative management instructions; A multi-dimensional impact analysis is performed on the deviation identification results to obtain an impact assessment report of the deviation identification results. The decision parameters of the impact assessment report are adjusted to obtain the optimized decision instructions for the collaborative management instructions; The resource optimization module is used to perform composite target optimization on the project resources of the target construction project based on the optimization decision instruction, so as to obtain a flexible allocation strategy for the project resources. The performance evaluation module is used to apply the flexible allocation strategy to the target construction project and obtain a performance evaluation report of the flexible allocation strategy. The environment optimization module is used to perform logical optimization on the integrated management environment based on the performance evaluation report to obtain the target management environment for the target construction project.

2. The construction project management platform based on BIM simulation as described in claim 1, characterized in that, When the management parsing module performs multi-dimensional management element parsing on the BIM simulation data of the target construction project to obtain the integrated management environment of the BIM simulation data, it is specifically used for: The BIM simulation data of the target construction project is integrated with management attributes to obtain a management element system for the BIM simulation data. A multi-dimensional architecture analysis is performed on the structural features in the management element system to obtain the dimensional framework of the management element system; The topological structure of the dimensional framework is obtained by reconstructing the relationships between the elements. The associated features of the topology are integrated to obtain an integrated management environment for the BIM simulation data.

3. A construction project management platform based on BIM simulation as described in claim 1, characterized in that, When the dynamic simulation module performs a multi-dimensional impact simulation on the deviation identification results to obtain an impact assessment report for the deviation identification results, it is specifically used for: The deviation identification results are subjected to cross-dimensional influence transmission deconstruction to obtain the influence transmission characteristics of the deviation identification results; Based on the situation map, the influence transmission features are time-varyingly correlated and integrated to obtain a dynamic correlation system of the influence transmission features; The influence intensity of the dynamic correlation system is quantified to obtain the influence transmission intensity of the dynamic correlation system, wherein the calculation formula for the influence transmission intensity is: ； In the formula, To influence the conduction strength, The first deviation identification result Each influencing dimension at time The degree of importance, The situation map is the first Each influencing dimension at time The instantaneous change gradient of quality indicators, The preset influence attenuation coefficient, This refers to the starting time of the influence on conduction intensity. The termination time of the influence on conduction intensity; An influence domain analysis is performed on the distribution of the influence on the conduction intensity to obtain an impact assessment report on the deviation identification results.

4. A construction project management platform based on BIM simulation as described in claim 1, characterized in that, When the resource optimization module executes the optimization decision instruction to perform composite target optimization on the project resources of the target construction project and obtains a flexible allocation strategy for the project resources, it is specifically used for: Resource utility attributes are extracted from the project resources of the target construction project to obtain the utility feature set of the project resources; Based on the optimization decision instructions, the utility feature set is subjected to full attribute association regularization to obtain the balance and adaptation system of the utility feature set; By coordinating the resource elements of the balance and adaptation system, a resource allocation scheme for the balance and adaptation system is obtained. The resource allocation scheme is subjected to elastic resource scheduling planning to obtain the elastic allocation strategy of the project resources.

5. A construction project management platform based on BIM simulation as described in claim 4, characterized in that, When the resource optimization module performs resource element coordination on the balance and adaptation system to obtain the resource allocation scheme of the balance and adaptation system, it is specifically used for: A resource supply and demand coupling analysis is performed on the aforementioned checks and balances adaptation system to obtain the supply and demand situation mapping of the system. Based on the utility feature set, dynamic balance optimization is performed on the supply and demand situation mapping to obtain the resource coordination degree of the supply and demand situation mapping, wherein the calculation formula of the resource coordination degree is: ； In the formula, The resource coordination degree, For the first in the balance and adaptation system Coordination coefficient of resource class For the set of utility features, the first Class resources at any time The time-varying resource utilization function The preset resource elasticity coefficient, The preset resource demand attenuation factor, This is the starting point for resource allocation optimization in the aforementioned resource coordination degree. This is the termination time of resource allocation optimization in the aforementioned resource coordination degree; The resource coordination degree is quantified for decision support to obtain the resource coordination index that maps the supply and demand situation; By performing multi-objective resource allocation on the resource coordination indicators, the resource allocation scheme of the checks and balances adaptation system is obtained.

6. A construction project management platform based on BIM simulation as described in claim 1, characterized in that, When the performance evaluation module applies the flexible allocation strategy to the target construction project and obtains a performance evaluation report for the flexible allocation strategy, it is specifically used for: The work process is adapted and deployed according to the elastic allocation strategy to obtain the work process execution plan of the elastic allocation strategy; Based on the process execution plan, efficiency data is captured for the target construction project to obtain the process efficiency dataset of the process execution plan. The process performance dataset is analyzed to obtain a list of performance features for the process performance dataset; Based on the performance feature list, the performance of the flexible allocation strategy is determined, and a performance evaluation report of the flexible allocation strategy is obtained.

7. A construction project management platform based on BIM simulation as described in claim 1, characterized in that, When the environment optimization module performs logical optimization of the integrated management environment based on the performance evaluation report to obtain the target management environment for the target construction project, it is specifically used for: Perform operational rule diagnosis on the integrated management environment to obtain a list of optimization requirements for the integrated management environment; Based on the performance evaluation report, the optimization requirement list is logically reconstructed to obtain the environmental optimization scheme of the optimization requirement list; The environmental optimization scheme is integrated to obtain the target management environment for the target construction project.

8. A construction project management method based on BIM simulation, characterized in that, The method is applied to a BIM simulation-based construction project management platform as described in any one of claims 1-7, the method comprising: S1. Perform multi-dimensional management element analysis on the BIM simulation data of the target construction project to obtain the integrated management environment of the BIM simulation data; S2. Based on the integrated management environment, conflict resolution is performed on the multiple construction plans of the target construction project to obtain collaborative management instructions for the multiple construction plans; S3. Based on the real-time construction progress data collected for the target construction project, dynamically deduce the collaborative management instructions to obtain optimized decision instructions for the collaborative management instructions; S4. Based on the optimization decision instruction, perform composite target optimization on the project resources of the target construction project to obtain the elastic allocation strategy of the project resources; S5. Apply the flexible allocation strategy to the target construction project to obtain an effectiveness evaluation report of the flexible allocation strategy; S6. Based on the performance evaluation report, the integrated management environment is logically optimized to obtain the target management environment for the target construction project.

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