Engineering construction project monitoring management method, device and equipment based on BIM (Building Information Modeling)

Abstract

The invention provides a BIM-based engineering construction project monitoring management method, device and equipment, and relates to the technical field of engineering management, and the method comprises the steps: determining a target fault set of a target engineering project based on the construction environment information and construction progress information of the target engineering project collected in real time; clustering the real-time construction progress information of the target engineering project according to the target fault set and regions to obtain a construction data set of each region; and determining a first BIM model of the target engineering project in combination with project planning information of the target engineering project, determining a second BIM model of the target engineering project according to the project planning information and the construction duration, and comparing the second BIM model with the first BIM model to obtain a construction progress error of the target engineering project and a project management scheme including a work contact list. The method can guarantee the accuracy of the monitoring result of the target engineering project and the matching degree of the project management scheme and the project progress, facilitates resource management, and carries out work key point synchronization.

Description

Technical Field

[0001] This invention relates to the field of engineering management technology, and in particular to a BIM-based method, apparatus and equipment for monitoring and managing engineering construction projects. Background Technology

[0002] When using BIM to monitor and manage engineering construction projects, it is necessary to bind diverse and heterogeneous information such as sensor data, image data, and point cloud data to the BIM model components in real time. Any measurement needs to be written into four layers of metadata: geometry, attributes, schedule, and cost. As construction progresses, model versions are constantly added, and all historical states must be retained for traceability, resulting in a continuous expansion of data volume, far exceeding the carrying capacity limit of traditional monitoring systems.

[0003] Existing technologies employ edge computing and cloud collaboration strategies to reduce data volume. In these technologies, the edge computing side first cleans, compresses, and extracts features from the streaming data to obtain key indicators, which are then uploaded to the cloud. The cloud uses these key indicators to perform model matching, analysis, and rendering, before sending the incremental results to the interactive interface. This approach reduces network and central computing power pressure while ensuring real-time updates of monitoring information.

[0004] However, because existing technologies only upload key indicators at the edge, detailed data that could cause malfunctions during construction is discarded, resulting in biased monitoring results for engineering construction projects and hindering project management. Summary of the Invention

[0005] This invention provides a BIM-based method, apparatus, and equipment for monitoring and managing engineering construction projects, which solves the problem in the prior art where only key indicators are uploaded at the edge, resulting in the loss of detailed data that could cause faults during construction, thus hindering the monitoring and management of engineering construction projects.

[0006] In a first aspect, embodiments of the present invention provide a BIM-based method for monitoring and managing engineering construction projects, comprising: Based on the real-time collected construction environment and construction progress information of the target project, the target fault set of the target project is determined. Based on the pre-defined regions, the construction progress information of the target engineering projects collected in real time is clustered according to the target fault set to obtain the construction dataset for each region; Based on the project planning information and all construction datasets of the target project, determine the first BIM model of the target project, and determine the second BIM model of the target project according to the project planning information and construction duration. By comparing the first BIM model with the second BIM model, the construction schedule error and project management plan of the target project are obtained; the project management plan includes work contact sheets.

[0007] Secondly, embodiments of the present invention provide a BIM-based engineering construction project monitoring and management device, comprising: The determination module is used to determine the target fault set of the target project based on the real-time collected construction environment information and construction progress information of the target project. The clustering module is used to cluster the construction progress information of the target engineering project collected in real time according to the target fault set according to the pre-divided regions, so as to obtain the construction dataset of each region. The modeling module is used to determine the first BIM model of the target project based on the project planning information and all construction datasets, and to determine the second BIM model of the target project based on the project planning information and construction duration. The comparison module is used to compare the first BIM model with the second BIM model to obtain the construction schedule error and project management plan of the target project; the project management plan includes work contact sheets.

[0008] Thirdly, embodiments of the present invention provide an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the method described in the first aspect or any possible implementation thereof.

[0009] In this embodiment of the invention, by collecting real-time construction environment and progress information of the target project, a target fault set for the target project is determined. Then, the construction progress information is clustered according to the region and the target fault set to obtain a construction dataset for each region. This ensures that no key fault-related data is omitted from the construction dataset. Subsequently, a first BIM model is determined using project planning information and the construction dataset, further ensuring the integrity of the first BIM model. A second BIM model is determined based on project planning information and construction duration. Finally, the first and second BIM models are compared to achieve project monitoring and management, resulting in a project management plan including work contact sheets. This method enables the determination of the target fault set through environmental and progress information, and combines it with construction progress information to achieve BIM model comparison. This ensures the accuracy of the monitoring results for the target project and the matching degree between the project management plan and the project schedule. The work contact sheets facilitate resource management during the execution of the project management plan and the synchronization of key work points within the project management plan. Attached Figure Description

[0010] Figure 1This is a flowchart illustrating the implementation of the BIM-based engineering construction project monitoring and management method provided in this embodiment of the invention. Figure 2 This is a schematic diagram of the area division of the BIM-based engineering construction project monitoring and management method provided in the embodiments of the present invention; Figure 3 This is a flowchart illustrating the implementation of step S120 of the BIM-based engineering construction project monitoring and management method provided in this embodiment of the invention. Figure 4 This is a flowchart illustrating the implementation of step S140 of the BIM-based engineering construction project monitoring and management method provided in this embodiment of the invention. Figure 5 This is a schematic diagram of the structure of the BIM-based engineering construction project monitoring and management device provided in an embodiment of the present invention; Figure 6 This is a schematic diagram of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0011] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0012] See Figure 1 The document illustrates a flowchart of the implementation of a BIM-based engineering construction project monitoring and management method provided in an embodiment of the present invention, detailed below: Step S110: Based on the real-time collected construction environment information and construction progress information of the target project, determine the target fault set of the target project.

[0013] In some embodiments, real-time acquisition refers to the timely and dynamic collection of information related to the target project, ensuring that the acquired data reflects the current or recent real-time status, rather than lagging historical data. The core principle is to guarantee the timeliness and synchronization of information. In engineering scenarios, common real-time acquisition methods include using temperature and humidity sensors deployed on-site to acquire environmental data of the construction site, using drones to capture progress images of the construction area at regular intervals, and transmitting equipment operating status in real time through the IoT modules of construction equipment. For example, in a subway construction project, vibration sensors are used to collect real-time data on the vibration of the surrounding rock during tunnel excavation, avoiding the inability to detect unstable surrounding rock due to data lag. The target project refers to the specific engineering entity with clear construction goals, scope, and tasks targeted by this monitoring and management work. It is the core object of the entire monitoring and management process and can be a collection of different types of projects, such as residential building projects, municipal road projects, bridge and tunnel projects, and industrial plant construction projects. When monitoring the target project, the construction phases can be divided into seven stages: pre-feasibility study and feasibility study stage, scheme design stage, preliminary design and budget stage, construction drawing stage, construction stage, acceptance stage, and delivery and operation stage. When showcasing construction progress, the project's progress can be managed using four colors: red, yellow, blue, and green. This four-color management system is applicable to monitoring investment progress, equipment input, manpower, and milestone plans. For example, in monitoring investment progress, green can indicate completed construction projects, blue indicates projects under construction with investment in place, yellow indicates investment not yet in place, and red indicates investment intentions but not yet confirmed.

[0014] It should be noted that construction environment information encompasses various types of information related to the construction site and surrounding environment of the target project that may affect the construction process, covering multiple dimensions such as the natural environment, geological environment, and surrounding social environment. Construction progress information refers to various types of information reflecting the progress of the target project's construction, used to determine whether the project is proceeding according to plan, and is usually related to specific construction procedures and the completion status of the workload. The target fault set refers to a collection of various faults that may negatively impact the construction safety, progress, or quality of the target project, identified through analysis and filtering based on real-time collected construction environment and construction progress information. It is a summary of multiple related faults, and these faults need to be comprehensively judged by combining both types of information.

[0015] In one possible implementation, step S110 is specifically processed as follows: based on multiple project types and construction progress information corresponding to the target project, an initial target fault set for the target project is determined; it is determined whether there is risky environmental information in the construction environment information; if there is no risky environmental information in the construction environment information, the initial target fault set for the target project is determined as the target fault set for the target project; if there is risky environmental information in the construction environment information, at least one environmental fault is determined based on the risky environmental information, and the environmental fault information is added to the initial target fault set to obtain the target fault set for the target project.

[0016] In some embodiments, multiple project types refer to the specific classifications of different professional fields or construction categories covered by the target project during construction. These classifications correspond to different construction contents, technical requirements, and potential failure risks, and are one of the important bases for determining the initial target failure set. For example, urban construction projects may include multiple project types such as residential building projects, municipal road projects, bridge and tunnel projects, and industrial plant construction projects. Each project type may have different failure types due to different construction processes and stages. For example, bridge and tunnel construction may have failures due to insufficient concrete strength, and water and electricity installation in residential building projects may have failures due to pipeline blockage. These will all be included in the analysis scope of the initial target failure set. Risk environmental information refers to specific environmental information selected from construction environmental information that may adversely affect the construction safety, progress, or quality of the target project. It is a key basis for determining whether supplementary environmental failure information is needed. Environmental failure information refers to failure information of the target project related to environmental factors that is directly caused or may be caused by risk environmental information. It is a type of failure supplemented to the initial target failure set to improve the final target failure set.

[0017] Step S120: According to the pre-divided regions, the construction progress information of the target engineering projects collected in real time is clustered based on the target fault set to obtain the construction dataset for each region.

[0018] In some embodiments, the pre-divided area refers to a number of clearly defined and clearly defined independent sub-areas, which are divided into the entire project construction scope in advance based on the project construction plan, engineering structural characteristics, on-site management needs, or area, before monitoring and management of the target project are carried out. See [link to relevant documentation]. Figure 2According to the project construction plan, the entire project area is divided into five regions: A, B, C, D, and E. Regions A and C constitute Phase I, while regions B, D, and E constitute Phase II. Phase II construction will commence after Phase I is completed. Clustering refers to classifying and grouping real-time collected, dispersed construction progress information based on the fault types, characteristics, or impact range of the target fault set. This ensures that progress information within the same group is directly correlated with a specific type of fault, while progress information in different groups corresponds to different fault types or is unrelated, ultimately achieving precise matching between progress and fault information. The construction dataset refers to a comprehensive data set formed by integrating effective information related to construction progress within each pre-divided region after clustering processing, along with fault correlation information corresponding to the target fault set. This dataset fully reflects the actual construction status and potential fault correlations within the region. For example, in a bridge construction project in a certain region, its construction dataset may include construction progress information such as the progress of main tower rebar binding, the proportion of formwork installation completed, and concrete pouring nodes, as well as fault-related information such as records of rebar spacing exceeding the standard and formwork verticality deviation data corresponding to the target fault set in that region.

[0019] See Figure 3 The specific processing method of step S120 above includes steps S1201-S1206, and the specific content is as follows: Step S1201: Divide the target project into multiple sub-target projects according to the pre-defined areas.

[0020] In some embodiments, a sub-target project refers to a miniaturized unit formed by dividing the overall target project into pre-defined regional areas. Each sub-target project has an independent construction task, a clear construction scope, and a dedicated management unit. Each sub-target project corresponds to a pre-defined region, which facilitates precise progress monitoring, fault analysis, and data management for specific regions. For example, if the target project is a commercial complex construction project, and the pre-defined regions include the main building construction area, the podium commercial construction area, and the underground parking lot construction area, then the corresponding sub-target projects for the main building structure construction, the podium decoration, and the underground parking lot foundation pouring are all sub-target projects.

[0021] Step S1202: Based on at least one project type for each sub-target project, filter out the sub-target fault set for each region from the target fault set.

[0022] In some embodiments, at least one project type refers to the classification of at least one specific professional field or construction category involved in the construction process of each sub-target project. This can be a single category of construction content or a combination of multiple related categories. Its core function is to clarify the construction attributes of the sub-target project, providing a precise basis for subsequent screening of related faults from the target fault set. Screening refers to the process of extracting fault information directly related to the sub-target project type and potentially affecting its construction progress or quality from the target fault set covering the entire target project, based on the project type corresponding to each sub-target project. The sub-target fault set refers to the collection of fault information related to the corresponding project type of the sub-target project within a single region, obtained after screening. It is a subset of the overall target fault set, and its scope fully matches the construction attributes of the corresponding sub-target project, serving only the fault monitoring and progress analysis of that sub-target project.

[0023] Step S1203: Divide the construction progress information of the target project into pre-defined areas to obtain sub-construction progress information for each area.

[0024] In some embodiments, sub-construction progress information refers to the progress information of each independent area that specifically reflects the progress status of the construction tasks in the area after the construction progress information covering the overall target project is divided into pre-divided areas. For example, if the target project is a smart community construction project, the pre-divided areas include the construction area of ​​Residential Building No. 1, the construction area of ​​the community service center, and the construction area of ​​the underground pipeline network. The overall construction progress information covers the progress of all construction tasks in the entire community. After being divided into areas, the sub-construction progress information corresponding to the construction area of ​​Residential Building No. 1 may include the main structure capping progress of the building, the completion status of the pre-embedding of indoor water and electricity pipelines, and the progress stage of the external wall insulation construction.

[0025] Step S1204: Based on the corresponding project type of each sub-target project, select multiple key attribute information of each sub-target project from the corresponding sub-construction progress information. The key attribute information of all sub-target projects in each region constitutes the key information set of the corresponding region.

[0026] In some embodiments, key attribute information refers to core information extracted from the sub-construction progress information corresponding to a sub-target project, based on the specific project type of that sub-target project. This information directly reflects the core status of the sub-target project, including its construction progress quality, completion status of key processes, and consumption of core resources. This information is crucial for determining whether a sub-target project is progressing as planned and whether there are potential risks. Key attribute information is obtained by cleaning, compressing, and extracting features from data at the construction site edge. For example, if a sub-target project is the concrete pouring construction of the main building of a commercial complex, and its corresponding project type is concrete structure construction, the key attribute information selected from the sub-construction progress information of that sub-target project might include the concrete design grade, the floor height completed in a single pour, the actual duration of concrete curing, and the slump test results during pouring. A key information set refers to a comprehensive information set formed by summarizing and integrating the key attribute information of all sub-target projects within a pre-divided single area. It covers the core construction status data of all sub-targets within the area, and the data in the key information set is used to model the buildings within the corresponding area.

[0027] Step S1205: Based on the corresponding sub-target fault set of each region, cluster the corresponding sub-construction progress information to obtain the fault information set of each region.

[0028] In some embodiments, the fault information set refers to a set of core data related to faults in a pre-divided region, formed by clustering the sub-construction progress information of the region based on the corresponding sub-target fault set of the region. The set not only includes progress information classification matching various sub-target faults, but also covers fault association feature data generated during the clustering process.

[0029] In one possible implementation, step S1205 is specifically processed as follows: from the corresponding sub-target fault set of each region, determine multiple target fault types and standard data corresponding to each target fault type for each region; using the target fault type corresponding to each region as the cluster category and the standard data corresponding to the target fault type as the cluster center, cluster the corresponding sub-construction progress information to obtain the clustering result for each region; for each region, based on the clustering result of that region, calculate the minimum radius and average radius of each cluster category, and determine the cluster center, minimum radius, and average radius of each cluster category as the fault information set for that region.

[0030] In some embodiments, target fault types refer to specific fault categories with clear classification attributes extracted from the sub-target fault sets of each region. Each category corresponds to a certain type of risk that may occur in a specific construction stage of the sub-target project. It is a structured classification of scattered fault information, providing a clear classification basis for subsequent clustering operations. If a sub-target project in a certain region includes the construction of residential building floor slab concrete, its corresponding sub-target fault set includes target fault types such as floor slab concrete strength not meeting design requirements, insufficient thickness of floor slab reinforcement protective layer, and honeycomb pitting during concrete pouring. Standard data refers to the benchmark reference data corresponding to each target fault type, used to determine whether the construction has this type of fault. It is usually derived from industry construction specifications, project design drawings, or quality acceptance standards, and is the core basis for defining cluster centers.

[0031] It should be noted that the clustering results for each region include the cluster category and the specific data corresponding to each point within each cluster category. The cluster category refers to the classification identifier used to group data when clustering sub-construction progress information for a certain region. Each cluster category directly corresponds to a target fault type, ensuring that all sub-construction progress information under the same category is associated with that target fault type, avoiding data classification confusion. The cluster center refers to the core benchmark point of each cluster category, and its value is the standard data for the target fault type. The minimum radius refers to the smallest distance among all sub-construction progress information data belonging to that category to the cluster center, reflecting the degree of deviation of the progress information closest to the standard data in that category, and can be used to determine whether there is a potential fault risk approaching the acceptable standard. The average radius refers to the arithmetic mean of the distances among all sub-construction progress information data belonging to that category to the cluster center in a single cluster, reflecting the overall deviation level of all progress information in that category from the standard data, and can be used to assess the severity of this type of fault risk.

[0032] Step S1206: Combine the key information set and fault information set of each region to obtain the construction dataset of each region.

[0033] In some embodiments, merging refers to the systematic integration of the key information set and the fault information set in each region. The integration process must ensure that the regions and sub-target projects of the two types of datasets are fully matched, so that the information reflecting the core progress of construction and the information reflecting the fault association form a one-to-one correspondence. The merged construction dataset includes data that can reflect the construction progress of the sub-target projects in the corresponding region, as well as data that can reflect the faults that may be caused by the sub-target projects in the corresponding region during the construction process.

[0034] By processing all the collected data and extracting key attribute information to obtain a key information set, and then clustering the construction information of each area through target faults to obtain clustering results, a fault information set for each area is generated based on the clustering results. Finally, the fault information set is combined with the key information set to obtain the construction dataset. This reduces the amount of data used for modeling while ensuring that no subtle data that may cause faults is missed in the construction dataset, thereby ensuring the accuracy and completeness of the BIM model.

[0035] Step S130: Based on the project planning information and all construction datasets of the target project, determine the first BIM model of the target project, and determine the second BIM model of the target project according to the project planning information and construction duration.

[0036] In some embodiments, project planning information refers to a set of fundamental planning data developed before the commencement of the target project, based on engineering design requirements, construction standards, and management objectives, to guide the overall progress of the project. It covers core elements such as the project's design scheme, building layout, schedule, and structural parameters, and serves as the common foundation for constructing both the first and second BIM models. The first BIM model is a three-dimensional building information model that accurately reflects the actual construction status of the target project, built upon the project planning information as its basic framework and incorporating construction datasets from all regions. The construction dataset includes actual construction progress, key attributes, and fault correlation data for each region. Construction duration refers to the time period from the official commencement of the target project to the current monitoring node, during which construction has actually commenced, and is used to determine the second BIM model. The second BIM model is a three-dimensional building information model that reflects the ideal construction status that the target project should achieve according to the plan, calculated based on the project planning information and the construction duration.

[0037] In one possible implementation, step S130 is specifically processed as follows: based on the project planning information of the target project, determine the basic location of each building in the target project; based on all construction datasets, determine multiple dimensional information of each building in the target project; based on the multiple dimensional information of each building, perform 3D modeling of each building to obtain a 3D model of each building; based on the basic location of each building, stitch together the 3D models of each building to obtain the first BIM model of the target project.

[0038] In some embodiments, the foundation location of each building refers to the specific spatial coordinates and layout of the foundation and substructure of each independent building within the project site. This location is determined by the site master plan and building layout design drawings in the project planning information. Multiple dimensional information refers to the actual construction dimensional parameters of each building in the target project extracted from all construction datasets. These parameters cover the overall dimensions such as height, length, and width, as well as internal structural dimensions such as wall thickness, column diameter, floor slab thickness, and door and window opening dimensions. These dimensions directly reflect the actual construction results of the building. 3D modeling refers to the process of using professional BIM modeling software, with multiple dimensional information as data input, to construct a three-dimensional structural model through digital modeling technology. The modeling scope covers the main structure of the building, key components such as columns, beams, and floor slabs, as well as visible forms related to the construction progress. The core is to convert the actual dimensions of the building into a visualized 3D digital model, and the model must completely match the actual construction state of the building. Each building's 3D model refers to a three-dimensional digital model of a specific building within the target project, generated through 3D modeling. This model fully presents the building's actual dimensions, structural form, and construction progress status, serving as a unit module in the overall first BIM model of the target project. Each model possesses independent structural information and spatial attributes. The splicing process involves spatially integrating and assembling the 3D models of all individual buildings in the target project based on their foundational locations. This transforms the dispersed building models into a unified model that conforms to the actual layout of the project site. The splicing process must ensure that the positions, angles, and foundational locations of each building model are perfectly matched, without spatial misalignment or overlap, ultimately forming a complete digital model covering the entire target project—the first BIM model.

[0039] In one possible implementation, step S130 further includes: determining the target schedule information and foundation location of each building in the target project based on project planning information and construction duration; determining multiple target dimension information of each building based on the target schedule information of each building; and determining the second BIM model of the target project based on the multiple target dimension information and foundation location of each building.

[0040] In some embodiments, target schedule information refers to the ideal schedule that each building in the target project should achieve according to the plan, determined based on project planning information and construction duration. It reflects the expected schedule at the planning level, rather than the actual schedule after construction. Multiple target dimension information is a set of ideal dimension parameters that a building should possess according to the planned schedule, derived from the target schedule information for each building. It covers the design dimensions of the overall building form and internal structure, distinct from the actual dimension information extracted from the construction dataset. Its core purpose is to quantify the building form under the ideal schedule, providing benchmark data for the dimensional dimensions of the second BIM model. First, based on the multiple target dimension information for each building, a three-dimensional model of each building is constructed. Then, according to the foundation location, the three-dimensional models of each building are stitched together to obtain the second BIM model of the target project.

[0041] Step S140: Compare the first BIM model with the second BIM model to obtain the construction schedule error and project management plan of the target project; wherein, the project management plan includes work contact sheets.

[0042] In some embodiments, comparing the first BIM model with the second BIM model refers to a step-by-step comparative analysis of the first BIM model, reflecting the actual construction status of the target project, and the second BIM model, reflecting the ideal state to be achieved according to the plan, across unified spatial, schedule, and structural dimensions. The core is to locate the differences between the actual construction and the planned objectives by matching and identifying the differences in corresponding building components, schedule nodes, and dimensional parameters between the models, providing a direct basis for subsequent calculations of construction schedule errors. The construction schedule error of the target project refers to the difference between the actual construction progress and the planned ideal progress, as determined by comparing the first and second BIM models. A project management plan refers to a targeted solution developed based on the construction schedule error obtained from comparing the first and second BIM models, to adjust the construction pace of the target project, resolve schedule deviations, or optimize resource allocation. These plans can be divided into two categories: deviation adjustment plans and conventional progress plans.

[0043] It should be noted that the project management plan includes a work contact sheet, which contains the contact information of each project leader. The work contact sheet allows the project management plan to be synchronized with the project leaders, facilitating resource management and project scheduling during the implementation of the project management plan, and enabling timely communication of key work points such as work progress and problems encountered during the work process with the project leaders.

[0044] See Figure 4 The specific processing method of step S140 above includes steps S1401-S1403, and the specific content is as follows: Step S1401: Compare the first BIM model with the second BIM model to determine the construction progress error of each building.

[0045] In some embodiments, the construction progress error of each building includes both the difference in the speed of construction progress of each building and the difference in physical form size, such as the discrepancy between the actual size of the completed part of each building and the planned size. It is the core indicator for quantifying the degree to which the actual construction of each building deviates from the planning target.

[0046] Step S1402: Determine the construction schedule error of the target project based on the construction schedule error of each building.

[0047] In some embodiments, after obtaining the construction progress error of each building, the construction progress error of the target project can be obtained by combining factors such as the importance weight of each building in the project and the construction logic dependency relationship through comprehensive evaluation and calculation. The construction progress error of the target project is used to reflect the macroscopic deviation between the actual construction progress and the planned ideal progress of the entire target project.

[0048] Step S1403: Determine the project management plan based on the construction schedule error of the target project.

[0049] In some embodiments, the project management plan is a systematic plan developed based on the construction schedule error of the target project, in order to adjust the project construction rhythm, resolve schedule deviations, or optimize the existing construction arrangements. For example, if the construction schedule error of a commercial complex project is that the overall lag exceeds a preset threshold, the project management plan may include resource scheduling and process optimization measures such as increasing the number of construction teams for the main building of the shopping mall, optimizing the building material supply chain to shorten the transportation cycle, and extending the effective daily construction time under the premise of compliance.

[0050] In one possible implementation, step S1403 is specifically processed as follows: based on the construction progress error of the target project, the progress error value of the target project is calculated; if the progress error value exceeds a preset threshold, resources are scheduled for the target project according to the construction progress error, and a project management plan is determined based on the resource scheduling result; if the progress error value does not exceed the preset threshold, a project management plan is determined based on the project planning information of the target project.

[0051] In some embodiments, the schedule error value refers to the specific, quantifiable numerical value that converts the construction schedule error of the target project into a quantifiable calculation. Through clearly defined calculation rules, it achieves accurate measurement of schedule deviations and provides a quantifiable basis for subsequent comparison with preset thresholds. The formula for calculating the schedule error value is:

[0052] in, Let represent the construction schedule error of the target project, and let i represent the i-th building within the target project. This refers to the total number of buildings within the target project. Let i be the expected schedule for the i-th building within the target project. Let represent the actual progress of the i-th building within the target project. Let i be the weight of the i-th building within the target project. The weight of a building is determined by both its functional importance and its construction logic priority.

[0053] It should be noted that the preset threshold refers to a critical value set in advance before the start of the target project, based on industry construction standards, project contract requirements, corporate management practices, or experience from similar projects, to determine whether the schedule error exceeds the acceptable range. It serves as a quantitative standard for distinguishing between normal and abnormal schedules, and the preset threshold ranges from 0 to 1. Resource scheduling refers to the operation of reallocating, supplementing, or adjusting key resources affecting the schedule of the target project, such as construction manpower, machinery and equipment, building materials, and funds, when the schedule error exceeds the preset threshold. Optimizing resource allocation can compensate for schedule deviations and push the project back to the planned schedule. The resource scheduling result refers to the specific implementation plan and arrangements for resource adjustments formed after the resource scheduling operation is completed. It covers key information such as the quantity of adjusted resources, arrival time, allocation destination, and usage priority, and serves as the direct basis for subsequently determining the project management plan. For example, the resource allocation operation of a residential community project is to supplement construction manpower and building materials. The corresponding resource allocation results include adding 3 carpentry teams to enter the site two days later and assigning them to the main construction of Building 1 and Building 2. Building materials such as cement and sand will be delivered in batches starting a week later, with priority given to ensuring the use of underground garage pouring.

[0054] By collecting real-time construction environment and progress information of the target project, a target fault set is determined. Then, the construction progress information is clustered based on the region and the target fault set to obtain a construction dataset for each region. This ensures that critical fault-related data is not lost. Subsequently, a first BIM model is determined using project planning information and the construction dataset, further ensuring the integrity of the first BIM model. A second BIM model is determined based on project planning information and construction duration. Finally, the first and second BIM models are compared for project monitoring. The progress error value of the target project is calculated, and project management is based on this error value. This application can determine the target fault set through environmental and progress information, and further determine the construction progress information based on the target fault set, ensuring the integrity of the BIM model. This, in turn, guarantees the accuracy of the monitoring results and the degree of matching between the project management plan and the project schedule.

[0055] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0056] The following are device embodiments of the present invention. For details not described in detail, please refer to the corresponding method embodiments described above.

[0057] Figure 5 A schematic diagram of the structure of the BIM-based engineering construction project monitoring and management device provided in an embodiment of the present invention is shown. For ease of explanation, only the parts related to the embodiment of the present invention are shown, and are described in detail below: like Figure 5 As shown, the BIM-based engineering construction project monitoring and management device 5 includes: Module 51 is used to determine the target fault set of the target project based on the real-time collected construction environment information and construction progress information of the target project. Clustering module 52 is used to cluster the construction progress information of the target engineering project collected in real time according to the target fault set according to the pre-divided regions, so as to obtain the construction dataset of each region. Modeling module 53 is used to determine the first BIM model of the target project based on the project planning information and all construction datasets of the target project, and to determine the second BIM model of the target project based on the project planning information and construction duration. The comparison module 54 is used to compare the first BIM model with the second BIM model to obtain the construction schedule error and project management plan of the target project; the project management plan includes work contact sheets.

[0058] In one possible implementation, the determining module 51 is specifically used to: determine the initial target fault set of the target project based on multiple project types and construction progress information corresponding to the target project; determine whether there is risky environmental information in the construction environment information; if there is no risky environmental information in the construction environment information, then determine the initial target fault set of the target project as the target fault set of the target project; if there is risky environmental information in the construction environment information, then determine at least one environmental fault information based on the risky environmental information, and add the environmental fault information to the initial target fault set to obtain the target fault set of the target project.

[0059] In one possible implementation, clustering module 52 is specifically used for: dividing the target project into multiple sub-target projects according to pre-divided regions; selecting sub-target fault sets for each region from the target fault set based on at least one project type of each sub-target project; dividing the construction progress information of the target project according to the pre-divided regions to obtain sub-construction progress information for each region; selecting multiple key attribute information of each sub-target project from the corresponding sub-construction progress information based on the corresponding project type of each sub-target project, and forming a key information set for the corresponding region from the key attribute information of all sub-target projects in each region; clustering the corresponding sub-construction progress information based on the corresponding sub-target fault set for each region to obtain a fault information set for each region; and merging the key information set and fault information set for each region to obtain a construction dataset for each region.

[0060] In one possible implementation, the clustering module 52 is further configured to: determine multiple target fault types and standard data corresponding to each target fault type from the corresponding sub-target fault set of each region; cluster the corresponding sub-construction progress information using the target fault type of each region as the cluster category and the standard data corresponding to the target fault type as the cluster center, to obtain the clustering result of each region; for each region, calculate the minimum radius and average radius of each cluster category based on the clustering result of that region, and determine the cluster center, minimum radius, and average radius of each cluster category as the fault information set of that region.

[0061] In one possible implementation, the modeling module 53 is specifically used for: determining the basic location of each building in the target project based on the project planning information of the target project; determining multiple dimensional information of each building in the target project based on all construction datasets; performing 3D modeling of each building based on the multiple dimensional information of each building to obtain a 3D model of each building; and stitching together the 3D models of each building based on the basic location of each building to obtain the first BIM model of the target project.

[0062] In one possible implementation, the modeling module 53 is further configured to: determine the target schedule information and the foundation location of each building in the target project based on project planning information and construction duration; determine multiple target dimension information of each building based on the target schedule information of each building; and determine a second BIM model of the target project based on the multiple target dimension information and foundation location of each building.

[0063] In one possible implementation, the comparison module 54 is specifically used to: compare the first BIM model with the second BIM model to determine the construction schedule error of each building; determine the construction schedule error of the target project based on the construction schedule error of each building; and determine the project management plan based on the construction schedule error of the target project.

[0064] In one possible implementation, the comparison module 54 is further configured to: calculate the progress error value of the target project based on the construction progress error of the target project; if the progress error value exceeds a preset threshold, perform resource scheduling for the target project according to the construction progress error, and determine a project management plan based on the resource scheduling result; if the progress error value does not exceed the preset threshold, determine a project management plan based on the project planning information of the target project.

[0065] Figure 6 This is a schematic diagram of an electronic device provided in an embodiment of the present invention. For example... Figure 6 As shown, the electronic device 6 of this embodiment includes a processor 60 and a memory 61. The memory 61 stores a computer program 62. When the processor 60 executes the computer program 62, it implements the steps in the various method embodiments described above. Alternatively, when the processor 60 executes the computer program 62, it implements the functions of each module / unit in the various device embodiments described above.

[0066] For example, computer program 62 may be divided into one or more modules / units, which are stored in memory 61 and executed by processor 60 to complete the present invention. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of computer program 62 in electronic device 6.

[0067] Electronic device 6 may include, but is not limited to, processor 60 and memory 61. Those skilled in the art will understand that... Figure 6 This is merely an example of electronic device 6 and does not constitute a limitation on electronic device 6. It may include more or fewer components than shown, or combine certain components, or different components. For example, electronic device 6 may also include input / output devices, network access devices, buses, etc.

[0068] For the sake of simplicity and clarity, only the above-described functional modules / units are used as examples. In practical applications, the functions described above can be assigned to different functional modules / units as needed. These modules / units can be implemented in hardware, software, or a combination of both.

[0069] In the above embodiments, the descriptions of each embodiment have their own emphasis. Parts not detailed or described in a particular embodiment can be referred to in the relevant descriptions of other embodiments. Unless otherwise specified or in conflict with logic, the terminology and / or descriptions between different embodiments are consistent and can be referenced interchangeably. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0070] The above-described 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 the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A BIM-based monitoring and management method for engineering construction projects, characterized in that, include: Based on the real-time collected construction environment and construction progress information of the target project, the target fault set of the target project is determined. According to the pre-divided regions, the construction progress information of the target engineering projects collected in real time is clustered based on the target fault set to obtain the construction dataset for each region. Based on the project planning information and all construction datasets of the target project, a first BIM model of the target project is determined, and a second BIM model of the target project is determined according to the project planning information and construction duration. The first BIM model is compared with the second BIM model to obtain the construction schedule error and project management plan of the target project; wherein, the project management plan includes work contact sheets.

2. The BIM-based engineering construction project monitoring and management method according to claim 1, characterized in that, The construction progress information of the target engineering project collected in real time is clustered according to the pre-divided regions and the target fault set to obtain the construction dataset for each region, including: The target project is divided into multiple sub-target projects according to the pre-defined areas; Based on at least one project type for each sub-target project, select the sub-target fault set for each region from the target fault set; The construction progress information of the target project is divided into pre-defined regions to obtain sub-construction progress information for each region. Based on the corresponding project type of each sub-target project, multiple key attribute information of each sub-target project is selected from the corresponding sub-construction progress information. The key attribute information of all sub-target projects in each region constitutes the key information set of the corresponding region. Based on the corresponding sub-target fault set of each region, the corresponding sub-construction progress information is clustered to obtain the fault information set of each region. By merging the key information set and fault information set of each region, a construction dataset for each region is obtained.

3. The BIM-based engineering construction project monitoring and management method according to claim 2, characterized in that, The process involves clustering the corresponding sub-construction progress information based on the sub-target fault set for each region to obtain a fault information set for each region, including: From the corresponding sub-target fault set of each region, determine multiple target fault types for each region and the standard data corresponding to each target fault type; Using the target fault type corresponding to each region as the cluster category and the standard data corresponding to the target fault type as the cluster center, the corresponding sub-construction progress information is clustered to obtain the clustering results for each region; For each region, based on the clustering results for that region, the minimum radius and average radius of each cluster category are calculated, and the cluster center, minimum radius, and average radius of each cluster category are determined as the fault information set for that region.

4. The BIM-based engineering construction project monitoring and management method according to claim 1, characterized in that, The target fault set of the target engineering project is determined based on the real-time collected construction environment information and construction progress information of the target engineering project, including: Based on the multiple project types corresponding to the target project and the construction progress information, the initial target fault set of the target project is determined; Determine whether there is any risky environmental information in the construction environment information; If there is no risk environment information in the construction environment information, then the initial target fault set of the target project is determined as the target fault set of the target project. If the construction environment information contains risky environment information, then based on the risky environment information, at least one environmental fault information is determined, and the environmental fault information is added to the initial target fault set to obtain the target fault set of the target project.

5. The BIM-based engineering construction project monitoring and management method according to claim 1, characterized in that, The process of determining the first BIM model of the target project based on the project planning information and all construction datasets of the target project includes: Based on the project planning information of the target project, determine the basic location of each building in the target project; Based on all construction datasets, determine multiple dimensional information for each building in the target project; Based on multiple dimensional information of each building, a 3D model of each building is created to obtain a 3D model of each building; Based on the basic location of each building, the 3D model of each building is stitched together to obtain the first BIM model of the target project.

6. The BIM-based engineering construction project monitoring and management method according to claim 1, characterized in that, The step of determining the second BIM model of the target project based on the project planning information and construction duration includes: Based on the project planning information and the construction duration, the target progress information and the foundation location of each building in the target project are determined. Based on the target progress information for each building, determine multiple target dimensions for each building; Based on multiple target dimension information and foundation location of each building, a second BIM model of the target project is determined.

7. The BIM-based engineering construction project monitoring and management method according to claim 1, characterized in that, The step of comparing the first BIM model with the second BIM model to obtain the construction schedule error and project management plan for the target project includes: The first BIM model is compared with the second BIM model to determine the construction progress error of each building; The construction schedule error of the target project is determined based on the construction schedule error of each building. Based on the construction schedule error of the target project, a project management plan is determined.

8. The BIM-based engineering construction project monitoring and management method according to claim 7, characterized in that, The process of determining a project management plan based on the construction schedule error of the target project includes: Calculate the schedule error value of the target project based on the construction schedule error of the target project; If the progress error value exceeds a preset threshold, then resource scheduling is performed on the target project based on the construction progress error, and the project management plan is determined based on the resource scheduling result. If the progress error value does not exceed the preset threshold, then the project management plan is determined based on the project planning information of the target project.

9. A BIM-based monitoring and management device for engineering construction projects, characterized in that, include: The determination module is used to determine the target fault set of the target project based on the real-time collected construction environment information and construction progress information of the target project. The clustering module is used to cluster the construction progress information of the target engineering project collected in real time according to the target fault set according to the pre-divided regions, so as to obtain the construction dataset of each region. The modeling module is used to determine the first BIM model of the target project based on the project planning information and all construction datasets of the target project, and to determine the second BIM model of the target project based on the project planning information and construction duration. The comparison module is used to compare the first BIM model with the second BIM model to obtain the construction progress error and project management plan of the target project; wherein, the project management plan includes work contact sheets.

10. An electronic device, characterized in that, It includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the method as described in any one of claims 1 to 8.

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