Construction site intelligent pre-management method and system based on BIM and digital twin technology

Abstract

This invention provides a smart pre-management method and system for construction sites based on BIM and digital twin technology. The method includes: constructing a BIM model based on the static geometric and physical information of the building, and embedding the time dimension, construction process logic, and resource constraint rules into the BIM model; acquiring current construction status data of the construction site, and mapping the current construction status data to the digital twin model of the building through data lineage; simulating the construction process of the twin model on multiple timelines based on the BIM model and preset construction intervention strategies to obtain the construction simulation path corresponding to each timeline; calculating the construction cost value of each construction simulation path, selecting the construction simulation path with the lowest construction cost value as the preferred construction path, and issuing a construction decision package to the construction site based on the optimized construction path. The technical solution of this invention can improve the reliability of construction management.

Description

Technical Field

[0001] This invention relates to the field of construction site management technology, and in particular to a smart pre-management method and system for construction sites based on BIM and digital twin technology. Background Technology

[0002] BIM (Building Information Modeling) technology is a building information integration and management method based on a three-dimensional digital model. Its core is to achieve efficient collaboration and information sharing in all aspects of design, construction, and operation by integrating multi-dimensional data throughout the entire building life cycle. Using BIM technology for digital management of building construction is a key direction for improving project management efficiency and quality.

[0003] The model cannot automatically perceive changes on-site, and on-site data is insufficient to drive meaningful model evolution. This leads to management decisions heavily relying on manual analysis of massive amounts of data to identify problems, lacking a predictive capability to autonomously simulate the future and quantify the consequences of decisions. Consequently, current technology cannot effectively address sudden schedule conflicts, chain-like resource shortages, and hidden safety risks arising from the coupling of multiple factors during construction. Summary of the Invention

[0004] This invention provides a smart pre-management method and system for construction sites based on BIM and digital twin technology, which can improve the reliability of construction management.

[0005] Specifically, in a first aspect, the present invention provides a smart pre-management method for construction sites based on BIM and digital twin technologies, comprising: Obtain the static geometric information and static physical information of the building, and construct the BIM model of the building based on the static geometric information and static physical information; Obtain the preset construction process logic and resource constraint rules, and embed the time dimension and the construction process logic and resource constraint rules into the BIM model; The current construction status data of the construction site is obtained, and the current construction status data is mapped to the digital twin model of the building through data lineage to drive the update of entity attributes in the twin model; A preset construction intervention strategy is obtained, and a discrete event simulation and constraint satisfaction algorithm is used to extrapolate the construction process of the twin model on multiple timelines based on the BIM model and the preset construction intervention strategy, so as to obtain the construction extrapolation path corresponding to each timeline. The construction cost value of each of the construction simulation paths is calculated, and the construction simulation path with the minimum construction cost value is selected as the preferred construction path. A construction decision package is then issued to the construction site based on the optimized construction path.

[0006] Furthermore, the step of obtaining the current construction status data of the construction site includes: The construction site status monitoring data is obtained from multiple preset data sources, and the status monitoring data is processed to unify the format and fuse the data to obtain the current construction status data.

[0007] Furthermore, after the step of selecting the construction derivation path with the minimum construction cost as the preferred construction path, the method further includes: Obtain the project progress information and project resource configuration information of the preferred construction path, and generate a project progress line graph of the preferred construction path based on the project progress information, and generate a project resource configuration line graph of the preferred construction path based on the project resource configuration information.

[0008] Furthermore, the step of sending the construction decision package to the construction site based on the optimized construction path includes: Obtain the construction instruction set, resource allocation order, and risk warning order corresponding to the optimized construction path, and generate the construction decision package based on the construction instruction set, resource allocation order, and risk warning order, and then send it to the construction site.

[0009] Furthermore, the step of calculating the construction cost value of each of the construction simulation paths includes: Obtain the construction period, construction cost, and safety indicators for each construction simulation path, and calculate the construction cost of the corresponding construction simulation path based on each construction period, construction cost, and safety indicator.

[0010] Furthermore, prior to the step of mapping the current construction status data to the digital twin model of the building through data lineage, the method further includes: The current construction status data is preprocessed to remove outliers.

[0011] Furthermore, the step of obtaining the preset construction intervention strategy includes: The preset construction intervention strategy is dynamically generated based on the construction process logic and resource constraint rules.

[0012] Furthermore, after the step of issuing the construction decision package to the construction site based on the optimized construction path, the method further includes: The construction feedback data at the construction site is detected, and the preferred construction path is verified based on the construction feedback data.

[0013] Secondly, the present invention also provides a smart pre-management system for construction sites based on BIM and digital twin technologies, comprising: The time-varying BIM model building module is configured to: acquire the static geometric information and static physical information of the building, and construct the BIM model of the building based on the static geometric information and static physical information; acquire preset construction process logic and resource constraint rules, and embed the time dimension, the construction process logic and the resource constraint rules into the BIM model; The parallel rule-based deduction module is configured to acquire the current construction status data of the construction site, and map the current construction status data to the digital twin model of the building through data lineage to drive the update of entity attributes in the twin model; and acquire a preset construction intervention strategy, and use discrete event simulation and constraint satisfaction algorithm to deduce the construction process of the twin model on multiple timelines according to the BIM model and the preset construction intervention strategy, so as to obtain the construction deduction path corresponding to each timeline respectively; The path evaluation and decision package distribution module is configured to calculate the construction cost value of each of the construction simulation paths, select the construction simulation path with the minimum construction cost value as the preferred construction path, and distribute the construction decision package to the construction site based on the optimized construction path.

[0014] Furthermore, the intelligent pre-management system for construction sites also includes a data fusion module, which is configured to acquire status monitoring data of the construction site from multiple preset data sources, and perform format unification processing and data fusion processing on the status monitoring data.

[0015] The technical solution of this invention constructs a BIM model based on the static geometric and physical information of the building, and embeds the time dimension, construction process logic, and resource constraint rules into this BIM model. Then, through data lineage, the current construction status data of the construction site is mapped to the building's data twin model. This data twin model is used to simulate the construction process of the digital twin model across multiple timelines to obtain the construction simulation path corresponding to each timeline. The construction simulation path with the lowest construction cost is selected as the preferred construction path. Finally, a construction decision package is issued to the construction site based on the optimized construction path. Because the digital twin model used in this invention simulates construction across multiple timelines and selects the construction simulation path with the lowest construction cost from these timelines, it effectively addresses sudden schedule conflicts, chain-like resource shortages, and hidden safety risks caused by the coupling of multiple factors during construction, thereby improving the reliability of construction management.

[0016] The above and other objects, advantages and features of the present invention will become more apparent to those skilled in the art from the following detailed description of specific embodiments of the invention in conjunction with the accompanying drawings. Attached Figure Description

[0017] The following sections will describe some specific embodiments of the invention in detail by way of example and not limitation, with reference to the accompanying drawings. The same reference numerals in the drawings denote the same or similar parts or portions. Those skilled in the art should understand that these drawings are not necessarily drawn to scale. In the drawings: Figure 1 This is a schematic flowchart of a smart pre-management method for construction sites based on BIM and digital twin technology according to an embodiment of the present invention; Figure 2 This is a schematic flowchart illustrating the issuance of a construction decision package to the construction site based on a preferred construction path, according to an embodiment of the present invention. Figure 3 This is a schematic diagram of a smart pre-management system for construction sites based on BIM and digital twin technology according to an embodiment of the present invention. Detailed Implementation

[0018] The following reference Figures 1 to 3This invention describes a smart pre-management method and system for construction sites based on BIM and digital twin technologies. In this description, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature, that is, include one or more of that feature. In the description of this invention, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified. When a feature "includes or contains" one or more of the features it encompasses, unless otherwise specifically described, this indicates that other features are not excluded and may be further included.

[0019] In the description of this embodiment, the terms "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0020] Please see Figure 1 , Figure 1 The diagram shown is a schematic flowchart of a construction site intelligent pre-management method based on BIM and digital twin technology in one embodiment of the present invention. This method can realize a paradigm shift from passive monitoring to active intervention of the construction site, provide managers with the optimal construction plan that can be quantitatively verified, and thus systematically improve the certainty, safety and economy of the construction process.

[0021] Specifically, in this embodiment Figure 1 The intelligent pre-management method for construction sites shown includes the following steps: Step S101: Obtain the static geometric information and static physical information of the building, and construct the BIM model of the building based on the static geometric information and static physical information; Step S102: Obtain the preset construction process logic and resource constraint rules, and embed the time dimension and the construction process logic and resource constraint rules into the building's BIM model; Step S103: Obtain the current construction status data of the building construction site, and map the current construction status data to the building's twin model through data lineage to drive the update of entity attributes in the twin model; Step S104: Obtain the preset construction intervention strategy, and use discrete event simulation and constraint satisfaction algorithm to deduce the construction process of the twin model on multiple timelines based on the building's BIM model and the preset construction intervention strategy, so as to obtain the construction deduction path corresponding to each timeline. Step S105: Calculate the construction cost of each construction simulation path, select the candidate construction strategy with the smallest construction cost as the preferred construction path, and issue a construction decision package to the construction site based on the preferred construction path.

[0022] In step S101 above, the static geometric information of the building obtained includes the overall outline of the building, the size of the structural components, the geometric positional relationship and the detailed geometric features. The overall outline of the building includes the building's external dimensions, shape features and spatial layout. The size of the building's structural components includes the building's foundation, main structure and special components. The geometric positional relationship of the building includes the building's coordinate positioning, orientation and angle and spatial proportion. The detailed geometric features include decorative components, openings and ancillary facilities.

[0023] In this embodiment, the static physical information of the building includes the building's material properties, mechanical performance parameters, thermal performance, acoustic performance, durability parameters, and other physical characteristics. The material properties include the building's structural materials, enclosure materials, and decorative materials. The mechanical performance parameters include structural load-bearing capacity, deformation capacity, and connection methods. The thermal performance includes thermal insulation performance, heat insulation performance, and airtightness. The acoustic performance includes sound insulation and sound absorption coefficient. The durability parameters include material durability and environmental adaptability. Other physical characteristics include the building's fire resistance, waterproof performance, and electromagnetic shielding performance.

[0024] In this embodiment, the static geometric and physical information of the building can be obtained from the building's design blueprint. Then, a three-dimensional simulation model of the building is constructed based on the static geometric information, and the physical parameters of the building are set in the three-dimensional simulation model based on the static physical information. Finally, the three-dimensional simulation model of the building is loaded into BIM software to construct the building's BIM model.

[0025] In step S102 above, the construction process logic refers to the sequence and dependencies between various engineering activities during the construction of a building. This includes prioritizing foundation construction, main structure construction, decoration and equipment installation, and acceptance and delivery. Prioritizing foundation construction means that building construction typically begins with the foundation, including ground treatment and foundation pouring. This is crucial for the building's stability and must be completed first. Main structure construction refers to the construction of the main structure after the foundation construction is completed, such as the erection of the reinforced concrete frame and the construction of walls. This work provides the foundation for subsequent decoration and equipment installation. Decoration and equipment installation involves interior and exterior decoration work after the main structure is completed, such as wall painting, flooring, and door and window installation, while simultaneously installing and commissioning electrical, water supply and drainage, and HVAC equipment. Acceptance and delivery refers to the final acceptance inspection after all construction is completed, ensuring that the building meets design requirements and relevant standards, and handing the building over to the owner after passing the inspection.

[0026] The resource constraint rules in this embodiment refer to the rules for restricting and scheduling construction activities due to the limited nature of resources (such as human resources, material resources, and equipment resources) during the construction process. These rules aim to ensure the efficient use of resources and the smooth progress of construction.

[0027] Human resource constraints refer to the rational allocation of the number and professional skills of construction personnel based on the construction schedule and workload to avoid idle work due to overstaffing or construction delays due to understaffing. For example, if a task requires 10 workers to complete in one day, but there are only 6 workers on site, then it is necessary to extend the working hours or add more personnel to meet the task requirements. Material resource constraints refer to the timely procurement and supply of necessary materials according to the construction schedule and material demand plan to avoid construction interruptions due to material shortages or waste and capital occupation due to material surpluses. For example, before concrete pouring, it is essential to ensure a sufficient supply of raw materials such as cement and sand; otherwise, pouring operations cannot proceed. Equipment resource constraints refer to the rational allocation of construction equipment, such as tower cranes, excavators, and mixers, according to construction needs to ensure the normal operation and maintenance of equipment and avoid construction delays caused by equipment failures. For example, in high-rise building construction, tower cranes are indispensable equipment; if a tower crane malfunctions, it will seriously affect vertical transportation efficiency, thereby affecting the entire construction schedule. Space resource constraints mean that the construction site has limited space, requiring rational planning of construction areas and material storage areas to avoid construction inconvenience and safety hazards caused by spatial conflicts. For example, in interior decoration construction, it is necessary to reasonably arrange the construction sequence and work space of different trades to avoid mutual interference and collision.

[0028] In this embodiment, the construction sequence of the building is determined according to the construction process logic and resource constraint rules, so as to embed the construction process logic and resource constraint rules into the constructed BIM model; then the building is divided into multiple construction areas, each construction area corresponds to a construction task, thereby dividing the construction process of the building into multiple construction tasks, and setting the start time and end time of each construction task to embed the time dimension into the BIM model.

[0029] In step S103 above, on-site detection equipment and inspection equipment can be set up at the construction site to collect information from the construction site in order to obtain the current construction status data of the construction site. The current construction status data includes the construction status of the building in the construction site in the time dimension, including the construction preparation stage, foundation construction stage, main structure construction stage, decoration and finishing stage and completion stage.

[0030] In this embodiment, the construction preparation stage refers to the phase of completing preliminary work such as site leveling, temporary facility construction, construction drawing review, material and equipment procurement, and personnel organization. Key activities in this stage include site surveying, temporary facility construction, and obtaining construction permits. Temporary facility construction includes the construction of office areas, living areas, material storage yards, and construction roads. In this embodiment, on-site monitoring and inspection equipment can be used to detect whether temporary measures are being constructed at the construction site; if so, the current construction status data is determined to be in the construction preparation stage.

[0031] The foundation construction phase involves completing ground treatment, foundation excavation, support, and pouring, forming the load-bearing structure of the building. Key activities in this phase include ground treatment, foundation pit excavation and support, foundation pouring, and key management tasks. Ground treatment includes replacement, dynamic compaction, and pile foundation construction (such as cast-in-place piles and precast piles). Foundation pit excavation and support includes slope excavation, soil nailing walls, and pile support. Foundation pouring includes the construction of isolated foundations, raft foundations, and box foundations. Key management tasks include controlling foundation pit deformation, preventing groundwater leakage, and ensuring concrete quality.

[0032] The main structure construction phase is the stage where the construction of the vertical structure (columns, walls) and horizontal structure (beams, slabs) is completed, forming the main frame of the building. The key activities in this phase include rebar tying, formwork installation, concrete pouring, and structural acceptance. Rebar tying includes arranging the rebar cage according to design requirements; formwork installation includes supporting the formwork system and ensuring the dimensional accuracy of the components; concrete pouring involves layered vibration to avoid cold joints, honeycomb surfaces, and pitting; and structural acceptance includes the acceptance of concealed works and strength testing (such as rebound hammer test and core drilling test).

[0033] The decoration and finishing phase involves completing the decoration of interior and exterior walls, floors, and ceilings, as well as installing equipment, thereby enhancing the building's functionality and aesthetics. Key activities in this phase include rough finishing, fine finishing, and equipment installation. Rough finishing work includes plastering, building partition walls, and installing doors and windows; fine finishing work includes wall painting, floor paving, and ceiling construction; and equipment installation work includes the installation of electrical, water supply and drainage, HVAC, and fire protection systems. Key management tasks include coordinating multi-trade work, controlling the environmental friendliness of materials, and ensuring the protection of finished products. The final acceptance phase involves completing all construction work, passing quality, safety, and fire protection inspections, and then handing the building over for use.

[0034] This embodiment collects construction images of the construction site using on-site detection and inspection equipment. Based on the construction images, it identifies the construction behavior of workers and the current state of the building, and determines the current construction status data of the building based on the construction behavior and the current state of the building.

[0035] Data lineage refers to the dynamic network of relationships formed throughout the entire process of data generation and destruction. It can clearly track the source, flow, and changes of data. In this embodiment, the method of mapping the current construction status data to the twin model of the building through data lineage includes: capturing the field-level transformation logic of the current construction status data, supporting table and report-level lineage, delving into field-level and operator-level lineage, and accurately restoring details such as calculation logic, filtering conditions, and relationships; aligning BIM models, IoT sensor data, and business system data according to a unified spatiotemporal benchmark to ensure accurate mapping of business data such as progress and output value to the 3D model; and forming data lineage through a hierarchical structure so that when application layer data is incorrect, it can be investigated layer by layer to quickly locate the source of the problem.

[0036] In step S104 above, the digital twin model can use discrete event simulation and constraint satisfaction algorithm to simulate the construction process on multiple timelines according to the preset construction process logic and resource constraint rules, so as to obtain the candidate construction strategies for the building on each timeline.

[0037] Discrete event simulation in this embodiment refers to driving system state changes by defining events and their occurrence. The constraint satisfaction algorithm involves defining variables and constraints, selecting feasible solutions within resource constraint rules according to preset construction process logic, and simulating each feasible solution using a twin model of the building to obtain candidate construction strategies for each feasible solution. These candidate construction strategies include the construction process and the resources used.

[0038] In step S105 above, a preset construction cost function can be used to calculate the construction cost of each candidate construction strategy on each timeline. For example, the time cost and economic cost of each candidate construction strategy can be calculated, and the time cost and economic cost of each candidate construction strategy can be weighted and summed to obtain the value for each strategy. Then, the candidate construction strategy with the lowest construction cost is selected as the preferred construction strategy, and a construction instruction is generated based on the preferred construction strategy and issued to the construction site.

[0039] As described above, this embodiment constructs a BIM model based on the static geometric and physical information of the building, embedding the time dimension, construction process logic, and resource constraint rules into the BIM model. Then, through data lineage, the current construction status data of the construction site is mapped to the building's data twin model. This data twin model is used to simulate the construction process of the digital twin model across multiple timelines, obtaining the construction simulation path corresponding to each timeline. The construction simulation path with the lowest construction cost is selected as the preferred construction path. Finally, a construction decision package is issued to the construction site based on the optimized construction path. Because this embodiment uses a digital twin model to simulate construction across multiple timelines and selects the construction simulation path with the lowest construction cost from these timelines, it effectively addresses sudden schedule conflicts, chain-like resource shortages, and hidden safety risks caused by the coupling of multiple factors during construction, thereby improving the reliability of construction management.

[0040] In some embodiments of the present invention, the step of obtaining the current construction status data of the construction site in step S104 includes: obtaining status monitoring data of the construction site from multiple data sources, and performing format unification processing and data fusion processing on the status monitoring data to obtain the current construction status data of the construction site.

[0041] Specifically, in this embodiment, the format of the condition monitoring data is converted into a format that includes data type, acquisition time, and data value, so as to unify the format of the condition monitoring data. Data fusion processing refers to merging the detection results of multiple data sources at the same location into a single data point in chronological order, in order to improve the completeness and accuracy of on-site monitoring.

[0042] In this embodiment, data is collected from the construction site through multiple data sources to obtain the current construction status data, which can ensure the comprehensiveness and accuracy of the construction status data. Furthermore, the status monitoring data from multiple data sources has been processed to unify the format, thereby improving the standardization of the status monitoring data and facilitating the construction of a data twin model of the building using the status monitoring data.

[0043] In some embodiments of the present invention, step S105 further includes the following after obtaining the preferred construction path: Obtain project progress information and project resource allocation information for the preferred construction path, and generate a project progress line graph for the preferred construction path based on the project progress information, and a project resource allocation line graph for the preferred construction path based on the project resource allocation information.

[0044] In this embodiment, the project progress information and project resource allocation information of the preferred construction path can be input into the mapping software in chronological order. The mapping software can establish a project progress coordinate system with time as the horizontal axis and project progress as the vertical axis, and a resource allocation coordinate system with time as the horizontal axis and resource allocation as the vertical axis.

[0045] Then, set the project progress at multiple time points in the project progress coordinate system, and connect the project progress at each time point in the project progress coordinate system in chronological order to obtain the project progress line graph of the preferred construction path; set the project resource configuration at multiple time points in the resource configuration coordinate system, and connect the project resource configuration at each time point in the resource configuration coordinate system in chronological order to obtain the project resource configuration line graph of the preferred construction path.

[0046] In this embodiment, after obtaining the preferred construction path, a project progress line chart and a project resource allocation line chart for the preferred construction path are also generated to intuitively display the changes in project progress and project resource allocation of the preferred construction path, thereby improving the visibility of the preferred construction path.

[0047] In some embodiments of the present invention, the method for issuing a construction decision package to the construction site according to the preferred construction path in step S105 is as follows: Figure 2 As shown, it includes the following steps: Step S201: Obtain the construction instruction set, resource allocation order, and risk warning order corresponding to the optimized construction path; Step S202: Based on the construction instruction set, resource allocation order, and risk warning order of the optimized construction path, a construction decision package is generated and sent to the construction site.

[0048] In this embodiment, construction instructions can be generated according to the construction strategy at each location in the construction process of the optimized construction path, and a construction instruction set for the optimized construction path can be constructed based on the construction instructions. A resource configuration list for the optimized construction path can be constructed based on the resources required during the construction process of the optimized construction path. A risk warning form for the optimized construction path can be constructed based on the construction risks present at each location during the construction process of the optimized construction path.

[0049] In this embodiment, a site management device is installed at the construction site of the building. This device is used to display the construction plan of the building. In this embodiment, the construction decision package, which generates a set of construction instructions for optimizing the construction path, resource allocation orders, and risk warning orders, is sent to the site management device and then distributed to the construction site. This allows the site management personnel to understand the construction plan, resource allocation, and construction risks at the construction site, providing guidance for the on-site construction of the building and improving the reliability of the construction.

[0050] In some embodiments of the present invention, step S105, taking one of the construction simulation paths as an example, includes the following method for obtaining the construction cost of the construction simulation path: Obtain the construction period, construction cost, and safety indicators of the construction simulation path, and calculate the construction cost of the construction simulation path based on the construction period, construction cost, and safety indicators.

[0051] In this embodiment, a data twin model can be used to simulate the construction process of the proposed construction path. This allows for the determination of the construction duration, required construction resources, and the probability of safety accidents during construction. The construction period is then calculated based on the construction duration, the construction cost based on the required resources, and the safety indicators based on the probability of safety accidents. Finally, the time cost, resource cost, and risk cost of the proposed construction path are obtained based on the construction period, cost, and safety indicators. A weighted sum of these costs yields the total construction cost of the proposed construction path.

[0052] In this embodiment, the construction cost of the construction simulation path is calculated from the perspectives of construction period, construction cost, and safety indicators, which can improve the accuracy and comprehensiveness of the assessment of the construction cost of the construction simulation path.

[0053] In some embodiments of the present invention, before mapping the current construction status data of the construction site to the twin model of the building through data lineage in step S103, the method further includes: preprocessing the current construction status data of the construction site to remove outliers from the current construction status data.

[0054] The method for preprocessing the current construction status data at the construction site in this embodiment includes: The method for detecting whether there are sudden changes in the current construction status data at the construction site includes: determining whether the difference between the data value at any given time point and the data value at the previous time point is greater than a set difference threshold; if it is greater, the data value at that time point is determined to be an outlier and deleted.

[0055] If there are missing values ​​in the current construction status data of the construction site, or if missing values ​​are caused by deleting outliers, then the missing values ​​will be supplemented.

[0056] Taking one of the missing values ​​as an example, in this embodiment, the previous value of the missing value and the next value of the missing value are obtained. The average of the previous value and the next value is used as the supplementary value of the missing value, and the missing value is supplemented by not filling it.

[0057] In this embodiment, by identifying and removing outliers in the current construction status data, the accuracy of the current construction status data can be ensured. Furthermore, by constructing a twin model of the building based on the current construction status data, the accuracy and reliability of the twin model can be guaranteed.

[0058] In some embodiments of the present invention, the method for obtaining the preset construction intervention strategy in step S104 includes: dynamically generating the preset construction intervention strategy according to the preset construction process logic and resource constraint rules.

[0059] The construction intervention strategies generated in this embodiment include a process adjustment strategy and a resource increase / decrease strategy. The process adjustment strategy refers to adjusting the construction sequence of the building based on the interference and dependency relationships between each part of the building. For example, the construction sequence of each part follows the construction sequence of its dependent parts. If the construction of two parts interferes, then these two parts need to be constructed sequentially. The resource increase / decrease strategy refers to increasing or decreasing the construction resources used in the building construction to match the building's construction needs.

[0060] Injecting this construction intervention strategy into the digital twin model in this embodiment can improve the reliability of construction simulations for each timeline.

[0061] In some embodiments of the present invention, after the step of issuing the construction decision package to the construction site according to the optimized construction path in step S105, the method further includes: detecting the construction feedback data of the construction site and verifying the preferred construction path based on the construction feedback data.

[0062] In this embodiment, the detected construction feedback data at the construction site includes the actual construction cost and the actual construction period. It is determined whether the actual construction cost and the actual construction period are consistent with the expected construction cost and the expected construction period of the preferred construction path. The actual construction cost and the actual construction period are used as construction sample data to provide a reference for the later evaluation of the construction cost of the construction simulation path.

[0063] In another embodiment of the invention, such as Figure 3As shown, the intelligent construction site management system based on BIM and digital twin technology in this embodiment includes a time-varying BIM model construction module 10, a parallel rule-based inference module 20, and a path evaluation and decision package distribution module 30, wherein: The time-varying BIM model 10 construction module is configured to: acquire the static geometric information and static physical information of the building, and construct the BIM model of the building based on the static geometric information and static physical information; acquire the preset construction process logic and resource constraint rules, and embed the time dimension and the construction process logic and resource constraint rules into the BIM model; The parallel rule-based line inference module 20 is configured to: acquire the current construction status data of the construction site, and map the current construction status data to the digital twin model of the building through data lineage to drive the update of entity attributes in the twin model; acquire the preset construction intervention strategy, and use discrete event simulation and constraint satisfaction algorithm to infer the construction process of the twin model on multiple timelines according to the BIM model and the preset construction intervention strategy, so as to obtain the construction inference path corresponding to each timeline respectively; The path evaluation and decision package distribution module 30 is configured to: calculate the construction cost value of each construction simulation path, select the construction simulation path with the lowest construction cost value as the preferred construction path, and distribute the construction decision package to the construction site based on the optimized construction path.

[0064] In some embodiments of the present invention, the intelligent management system for construction sites further includes a data fusion module, which is configured to acquire status monitoring data of the construction site from multiple preset data sources, and perform format unification processing and data fusion processing on the status monitoring data.

[0065] The flowcharts provided in this embodiment are not intended to indicate that the operations of the method will be performed in any particular order, or that all operations of the method are included in all every case. Furthermore, each of the methods described above may include additional operations. Within the scope of the technical concept provided by the methods of this embodiment, additional variations can be made to the methods described above.

[0066] It should be understood that in some embodiments, the components may be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods may be implemented using software or firmware stored in memory and executed by a suitable instruction execution system.

[0067] Therefore, those skilled in the art should recognize that although numerous exemplary embodiments of the present invention have been shown and described in detail herein, many other variations or modifications conforming to the principles of the present invention can be directly determined or derived from the disclosure of the present invention without departing from the spirit and scope of the invention. Thus, the scope of the present invention should be understood and construed as covering all such other variations or modifications.

Claims

1. A smart pre-management method for construction sites based on BIM and digital twin technologies, characterized in that, include: Obtain the static geometric information and static physical information of the building, and construct the BIM model of the building based on the static geometric information and static physical information; Obtain the preset construction process logic and resource constraint rules, and embed the time dimension and the construction process logic and resource constraint rules into the BIM model; The current construction status data of the construction site is obtained, and the current construction status data is mapped to the digital twin model of the building through data lineage to drive the update of entity attributes in the twin model; A preset construction intervention strategy is obtained, and a discrete event simulation and constraint satisfaction algorithm is used to extrapolate the construction process of the twin model on multiple timelines based on the BIM model and the preset construction intervention strategy, so as to obtain the construction extrapolation path corresponding to each timeline. The construction cost value of each of the construction simulation paths is calculated, and the construction simulation path with the minimum construction cost value is selected as the preferred construction path. A construction decision package is then issued to the construction site based on the optimized construction path.

2. The intelligent pre-management method for construction sites according to claim 1, characterized in that, The step of obtaining the current construction status data of the construction site includes: The construction site status monitoring data is obtained from multiple preset data sources, and the status monitoring data is processed to unify the format and fuse the data to obtain the current construction status data.

3. The intelligent pre-management method for construction sites according to claim 1, characterized in that, After the step of selecting the construction path with the minimum construction cost as the preferred construction path, the method further includes: Obtain the project progress information and project resource configuration information of the preferred construction path, and generate a project progress line graph of the preferred construction path based on the project progress information, and generate a project resource configuration line graph of the preferred construction path based on the project resource configuration information.

4. The intelligent pre-management method for construction sites according to claim 1, characterized in that, The step of sending the construction decision package to the construction site according to the optimized construction path includes: Obtain the construction instruction set, resource allocation order, and risk warning order corresponding to the optimized construction path, and generate the construction decision package based on the construction instruction set, resource allocation order, and risk warning order, and then send it to the construction site.

5. The intelligent pre-management method for construction sites according to claim 1, characterized in that, The step of calculating the construction cost value for each of the construction simulation paths includes: Obtain the construction period, construction cost, and safety indicators for each construction simulation path, and calculate the construction cost of the corresponding construction simulation path based on each construction period, construction cost, and safety indicator.

6. The intelligent pre-management method for construction sites according to claim 1, characterized in that, Prior to the step of mapping the current construction status data to the digital twin model of the building through data lineage, the method further includes: The current construction status data is preprocessed to remove outliers.

7. The intelligent pre-management method for construction sites according to claim 1, characterized in that, The step of obtaining the preset construction intervention strategy includes: The preset construction intervention strategy is dynamically generated based on the construction process logic and resource constraint rules.

8. The intelligent pre-management method for construction sites according to claim 1, characterized in that, After the step of issuing the construction decision package to the construction site based on the optimized construction path, the method further includes: The construction feedback data at the construction site is detected, and the preferred construction path is verified based on the construction feedback data.

9. A smart pre-management system for construction sites based on BIM and digital twin technologies, characterized in that, include: The time-varying BIM model building module is configured to: acquire the static geometric information and static physical information of the building, and construct the BIM model of the building based on the static geometric information and static physical information; acquire preset construction process logic and resource constraint rules, and embed the time dimension, the construction process logic and the resource constraint rules into the BIM model; The parallel rule-based inference module is configured to acquire the current construction status data of the construction site and map the current construction status data to the digital twin model of the building through data lineage, so as to drive the update of entity attributes in the twin model. In addition, a preset construction intervention strategy is obtained, and a discrete event simulation and constraint satisfaction algorithm is used to deduce the construction process of the twin model on multiple timelines based on the BIM model and the preset construction intervention strategy, so as to obtain the construction deduction path corresponding to each timeline. The path evaluation and decision package distribution module is configured to calculate the construction cost value of each of the construction simulation paths, select the construction simulation path with the minimum construction cost value as the preferred construction path, and distribute the construction decision package to the construction site based on the optimized construction path.

10. The intelligent pre-management system for construction sites according to claim 1, characterized in that, The intelligent pre-management system for construction sites also includes a data fusion module, which is configured to acquire status monitoring data of the construction site from multiple preset data sources, and perform format unification processing and data fusion processing on the status monitoring data.

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