BIM-based intelligent building management method and system

Abstract

The application discloses a kind of BIM-based wisdom building management method and system, it is related to data processing technical field, including: based on preset BIM model and preset Internet of Things equipment, real-time construction monitoring is carried out to target building, and construction monitoring information is obtained;Based on construction monitoring information and preset construction relationship tree, the preset BIM model is updated, and target BIM model is obtained;Based on target BIM model, the target building after completion is operated and maintained, compared with traditional building management relies on artificial monitoring, cannot effectively complete the monitoring of building whole cycle, the application is monitored by BIM model in real time Construction site, and building model is updated in real time, the operation and maintenance of target building are completed by updated building model, effectively improve the safety during building construction to completion, effectively complete the monitoring of building whole cycle.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, and particularly relates to a BIM-based intelligent building management method and system. BACKGROUND

[0002] With the rapid development of information technology, the engineering construction field is experiencing a revolution of digital transformation. Traditional buildings have no complete system management scheme from the early design, construction to the later operation and maintenance, and most of them rely on manual monitoring, so as to cause high management cost and unable to effectively complete the monitoring of the whole cycle of the building. SUMMARY

[0003] The main purpose of the present application is to provide a BIM-based intelligent building management method and system, which aims to solve the technical problem that the traditional building management relies on manual monitoring and cannot effectively complete the monitoring of the whole cycle of the building.

[0004] To achieve the above purpose, the present application provides a BIM-based intelligent building management method, which comprises:

[0005] Real-time construction monitoring of a target building based on a preset BIM model and a preset Internet of Things device, to obtain construction monitoring information;

[0006] Updating the preset BIM model based on the construction monitoring information and a preset construction relationship tree, to obtain a target BIM model;

[0007] Performing operation and maintenance management on the target building after completion based on the target BIM model.

[0008] Optionally, before the step of real-time construction monitoring of a target building based on a preset BIM model and a preset Internet of Things device, to obtain construction monitoring information, the present application further comprises:

[0009] Classifying building data corresponding to target building design drawings according to component types, to obtain a component data set;

[0010] Integrating attribute information in the component data set into an initial BIM model, to obtain a first BIM model;

[0011] Performing building performance simulation on the target building based on the first BIM model, to obtain a performance simulation result;

[0012] If the performance simulation result is passed, the first BIM model is taken as a preset BIM model.

[0013] Optionally, the step of classifying building data corresponding to target building design drawings according to component types, to obtain a component data set, comprises:

[0014] performing image preprocessing on target architectural design drawings to obtain an image set in a target image format;

[0015] detecting architectural components in the image set based on a YOLOv8n model to obtain a boundary box coordinate, class information, and confidence corresponding to each component;

[0016] classifying each component according to the boundary box coordinate, the class information, and the confidence to generate a component data set.

[0017] Optionally, the building performance simulation is divided into energy consumption simulation and structural simulation, the performance simulation result includes energy consumption simulation result and structural simulation result, and the step of simulating the building performance of the target building based on the first BIM model to obtain a performance simulation result includes:

[0018] extracting building data from the first BIM model and calculating the total building area, the building envelope area, and the building window-wall ratio;

[0019] simulating the energy consumption of the target building according to the preset meteorological data, the total building area, the building envelope area, and the building window-wall ratio to obtain the total energy consumption, the peak load, the daylighting coefficient, and the carbon emission;

[0020] determining the energy consumption grade according to the total energy consumption, the peak load, the daylighting coefficient, and the carbon emission, and determining the energy consumption simulation result according to the energy consumption grade;

[0021] extracting structural component information from the first BIM model, and analyzing the structural performance, deflection, seismic performance, and stability performance of the target building according to the structural component information to obtain a structural performance analysis result;

[0022] simulating the structure of the target building according to the structural performance analysis result to obtain a structural simulation result.

[0023] Optionally, the step of updating the preset BIM model based on the construction monitoring information and a preset construction relationship tree to obtain a target BIM model includes:

[0024] analyzing the construction progress, component installation state, and site safety state of the construction monitoring information based on a YOLOv10n model to obtain construction progress information, component installation state, and site safety state;

[0025] updating the preset BIM model based on a preset construction relationship tree, the construction progress information, the component installation state, and the site safety state to obtain a target BIM model.

[0026] Optionally, the step of analyzing the construction progress, the component installation state, and the site safety state of the construction monitoring information based on the YOLOv10n model to obtain the construction progress information, the component installation state, and the site safety state comprises:

[0027] analyzing the total construction progress, the milestone progress, and the key path state of the target construction site based on the YOLOv10n model and the construction monitoring information, determining the construction progress deviation and the estimated completion time, and determining the construction progress information according to the construction progress deviation and the estimated completion time;

[0028] determining the component installation state based on the component state, the installation information, and the quality information in the construction monitoring information;

[0029] identifying the safety hat wearing state of the construction personnel in the construction monitoring information based on the YOLOv10n model, and determining the worker safety state according to the identification result;

[0030] determining the site safety state according to the worker safety state and the component installation state.

[0031] Optionally, the step of updating the preset BIM model based on the preset construction relationship tree, the construction progress information, the component installation state, and the site safety state to obtain a target BIM model comprises:

[0032] updating the construction progress information, the component installation state, and the site safety state according to the relationship tree node of the preset construction relationship tree to obtain an updated construction relationship tree;

[0033] constructing a mapping relationship between the updated construction relationship tree and the preset BIM model;

[0034] updating the preset BIM model based on the mapping relationship until the target building passes the completion acceptance, and taking the updated BIM model after completion as the target BIM model.

[0035] Optionally, the step of performing operation and maintenance management on the completed target building based on the target BIM model comprises:

[0036] extracting operation and maintenance information, equipment data, space data, system data, and historical maintenance information from the target BIM model;

[0037] constructing an asset ledger based on the operation and maintenance information, the equipment data, the space data, the system data, and the historical maintenance information;

[0038] Generate a maintenance task based on the asset ledger, and perform operation and maintenance management on the completed target building according to the maintenance task.

[0039] Optionally, the step of generating a maintenance task based on the asset ledger and performing operation and maintenance management on the completed target building according to the maintenance task comprises:

[0040] Query the asset ledger, determine the maintenance frequency, maintenance time and maintenance cost according to the equipment asset ledger and the space asset ledger contained in the asset ledger, and generate a maintenance plan;

[0041] Generate a maintenance task based on the maintenance plan and the equipment state, and perform operation and maintenance management on the completed target building based on the maintenance task.

[0042] In addition, to achieve the above-mentioned purpose, the application also proposes a BIM-based smart building management system, which comprises:

[0043] A construction monitoring module is configured to perform real-time construction monitoring on the target building based on a preset BIM model and a preset Internet of Things device, and obtain construction monitoring information;

[0044] A model updating module is configured to update the preset BIM model based on the construction monitoring information and a preset construction relationship tree, and obtain a target BIM model;

[0045] An operation and maintenance management module is configured to perform operation and maintenance management on the completed target building based on the target BIM model.

[0046] The one or more technical solutions proposed in the application have at least the following technical effects:

[0047] The application performs real-time construction monitoring on the target building based on a preset BIM model and a preset Internet of Things device, obtains construction monitoring information, updates the preset BIM model based on the construction monitoring information and a preset construction relationship tree, obtains a target BIM model, and performs operation and maintenance management on the completed target building based on the target BIM model. Compared with the traditional building management relying on manual monitoring, the application can effectively complete the monitoring of the whole cycle of the building. The application monitors the construction site in real time through the BIM model, updates the building model in real time, completes the operation and maintenance of the target building through the updated building model, effectively improves the safety during the construction to completion of the building, and effectively completes the monitoring of the whole cycle of the building. BRIEF DESCRIPTION OF DRAWINGS

[0048] The drawings incorporated into the specification and forming a part thereof, illustrate embodiments consistent with the present application and, together with the specification, serve to explain the principles of the application.

[0049] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings required to be used in the embodiments or prior art description will be briefly introduced as follows. Obviously, those skilled in the art can obtain other drawings according to these drawings without any creative effort.

[0050] Figure 1 The flowchart provided by the BIM-based smart building management method of the present application embodiment one;

[0051] Figure 2 The flowchart provided by the BIM-based smart building management method of the present application embodiment two;

[0052] Figure 3 The model update diagram provided by the BIM-based smart building management method of the present application embodiment two;

[0053] Figure 4 The flowchart provided by the BIM-based smart building management method of the present application embodiment three;

[0054] Figure 5 The module structure diagram of the BIM-based smart building management method system of the present application embodiment.

[0055] The purpose of the present application, the function characteristics and the advantages will be further explained in combination with the embodiments and with reference to the drawings. DETAILED DESCRIPTION

[0056] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application, and not to limit the present application.

[0057] In order to better understand the technical solutions of the present application, the following will be described in detail in combination with the drawings of the specification and the specific embodiments.

[0058] The main solution of the present application embodiment is: the present application obtains construction monitoring information by monitoring the target building in real time based on the preset BIM model and the preset Internet of Things device; updates the preset BIM model based on the construction monitoring information and the preset construction relationship tree, and obtains a target BIM model; and performs operation and maintenance management on the completed target building based on the target BIM model.

[0059] In the present embodiment, for the convenience of description, the following describes the computing service device as the execution subject.

[0060] Because the traditional building management relies on manual monitoring, it cannot effectively complete the monitoring of the whole cycle of the building.

[0061] The application provides a solution for real-time monitoring of a construction site through a BIM model and real-time updating of a building model, and completing operation and maintenance of a target building through the updated building model, thereby effectively improving the safety during the construction to completion of the building and effectively completing the monitoring of the whole cycle of the building.

[0062] From the above embodiment, the application can obtain construction monitoring information by real-time construction monitoring of a target building based on a preset BIM model and a preset Internet of Things device, update the preset BIM model based on the construction monitoring information and a preset construction relationship tree to obtain a target BIM model, and perform operation and maintenance management of the target building after completion based on the target BIM model. Compared with the traditional building management relying on manual monitoring and unable to effectively complete the monitoring of the whole cycle of the building, the application can effectively improve the safety during the construction to completion of the building and effectively complete the monitoring of the whole cycle of the building by real-time monitoring of a construction site through a BIM model and real-time updating of a building model, and completing operation and maintenance of a target building through the updated building model.

[0063] It should be noted that the execution subject of the embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, a device including a BIM-based smart building management system, etc. The following will take a computer as an example to describe the embodiment and the following embodiments.

[0064] Based on this, the application embodiment provides a BIM-based smart building management method, which refers to Figure 1 , Figure 1 The figure is a flowchart of the first embodiment of the BIM-based smart building management method of the application.

[0065] In the embodiment, the BIM-based smart building management method includes steps S10-S30:

[0066] Step S10, real-time construction monitoring of a target building based on a preset BIM model and a preset Internet of Things device to obtain construction monitoring information.

[0067] It should be noted that the preset BIM model is a BIM model constructed in advance based on the design drawings corresponding to the target building, and the BIM model is a three-dimensional visual model. The preset Internet of Things device can be an Iot device pre-set in a construction site for collecting real-time data, such as an Internet of Things device set in a construction site, such as mechanical and electrical equipment, monitoring equipment, devices corresponding to an energy system, security equipment and operation equipment, etc. for real-time collection of data in a construction site, and the embodiment does not make specific limitations.

[0068] It can be understood that the construction data of the construction site is collected in real time by the preset BIM model and the Internet of Things equipment pre-set on the construction site, and the collected data is integrated into the preset BIM model to update the construction attribute information in the BIM model.

[0069] Further, before the step S10, the method further comprises: classifying the building data corresponding to the target building design drawing according to component types to obtain a component data set; integrating attribute information in the component data set into an initial BIM model to obtain a first BIM model; performing building performance simulation on the target building based on the first BIM model to obtain a performance simulation result; and if the performance simulation result is passed, taking the first BIM model as the preset BIM model.

[0070] It should be noted that the present scheme converts the traditional 2D CAD drawing into a 3D parametric model rich in information, intuitively displays the design intent, classifies the building data corresponding to the target building design drawing according to component types to obtain a data set corresponding to different component types, wherein the component types can be classified into three types of building, structure and electromechanical according to the specialty, the building is further classified into enclosure components and decorative components, the structure type is further classified into vertical load-bearing components, horizontal load-bearing components and foundation components, and the electromechanical component is further classified into water supply and drainage system, equipment, heating ventilation and air conditioning system and electrical system, the building data corresponding to the design drawing is divided into different data sets according to the above component types, the component types in the divided data set are created into corresponding IFC entities, and attributes are set, the created IFC entities are added to the initial BIM model, and saved as a first BIM model, the performance simulation is performed using the first BIM model, and whether it is passed is determined according to the performance simulation result, if yes, the model is taken as the preset BIM model.

[0071] It can be understood that in order to improve the accuracy of the BIM model, the building data needs to be classified, and the present scheme realizes component recognition and classification of the target building drawing by using a YOLOv8n lightweight model, the step of classifying the building data corresponding to the target building design drawing according to component types to obtain a component data set comprises: performing image preprocessing on the target building design drawing to obtain an image set in a target image format; performing building component detection on the image set based on the YOLOv8n model to obtain boundary box coordinates, category information and confidence of each component; classifying each component according to the boundary box coordinates, the category information and the confidence, and generating a component data set.

[0072] It should be noted that the image preprocessing of the target building design drawing refers to converting the target building design drawing from a CAD drawing to an image format and performing image preprocessing, which includes size adjustment, grayscale, contrast enhancement and the like, and the YOLOv8n model also maintains a good balance in precision. It is suitable for processing scenes such as drawings with relatively simple backgrounds, but a large number of objects need to be detected quickly, and real-time or quasi-real-time detection can be achieved. The YOLOv8n model is an architectural component recognition model obtained by pre-training based on architectural data, wherein the YOLOv8n model training process can be based on using labeled architectural drawing data to fine-tune the pre-trained YOLOv8n model to learn the features of architectural components. The preprocessed image (from the test set or new unknown drawing) is input into the trained YOLOv8n model, and the output result is that the model outputs a detection result for each detected object, including: bounding box coordinates: represented in normalized format (x_center, y_center, width, height), wherein the coordinate values are proportional to the image width and height. Class information: an integer or string representing the class of the component (such as 0 representing "column" and 1 representing "beam"). Confidence: a value between 0 and 1, indicating the degree of certainty of the model for the detection result.

[0073] It can be understood that by using the YOLOv8n model to detect architectural components in the image set, for each image in the input image set, a list containing multiple detection results is obtained. Each result contains the bounding box coordinates, class information and confidence of the component, and according to the output bounding box coordinates, class information and confidence of the component, a digital component list that is easy to query, analyze and use is generated by sorting, classifying and structuring, and a dataset of different component types is obtained. Through the standardized process of preprocessing-detection-classification, the unstructured drawing image is successfully converted into a component data set rich in semantic information and machine-readable, greatly improving the efficiency and automation level of building information processing.

[0074] In a specific implementation, the detection results of all images are traversed, and the components are classified according to the class information. For example, all components identified as "windows" are classified into the "window" set, and all "doors" are classified into the "door" set. All information (bounding box coordinates, confidence) of the same component is bound with its class information, and the source image file name of the component is recorded. The classified and integrated data is organized into a structured data set. It is recommended to use an easy-to-handle structure, such as a JSON format file, so that the scheme outputs a structured component data set that clearly lists all recognized architectural components, each component is accompanied by its type, location, confidence and source information, laying a solid data foundation for digital management of buildings.

[0075] Further, the building performance simulation is divided into energy consumption simulation and structure simulation, and the performance simulation result includes an energy consumption simulation result and a structure simulation result. The step of performing building performance simulation on the target building based on the first BIM model to obtain a performance simulation result includes: extracting building data from the first BIM model and calculating a total building area, a building envelope area, and a building window-wall ratio; performing energy consumption simulation on the target building according to preset meteorological data, the total building area, the building envelope area, and the building window-wall ratio to obtain total energy consumption, peak load, daylighting coefficient, and carbon emission; determining an energy consumption level according to the total energy consumption, the peak load, the daylighting coefficient, and the carbon emission, and determining an energy consumption simulation result according to the energy consumption level; extracting structure component information from the first BIM model, and analyzing structure performance, deflection, seismic performance, and stability performance of the target building according to the structure component information to obtain a structure performance analysis result; and performing structure simulation on the target building according to the structure performance analysis result to obtain a structure simulation result.

[0076] It should be noted that the present scheme extracts building data from the first BIM model, calculates a total area, an envelope area, and a window-wall ratio, and calculates building energy consumption in combination with preset meteorological data. The calculation of the total building energy consumption includes calculating total energy consumption, peak load, daylighting coefficient, and carbon emission based on basic energy consumption, window-wall ratio influence, orientation influence, and meteorological influence, determining energy consumption compliance and an energy consumption level according to the calculation result, and determining an energy consumption simulation result according to the energy consumption compliance and the energy consumption level.

[0077] It can be understood that the present scheme extracts structure data and performs structure analysis to evaluate compliance, thereby determining a structure simulation result. The present scheme extracts structure data and structure component attributes from the BIM model. The structure data includes extracted structure component information, component quantity, building height, and total area. The structure data and the structure component attributes are used to perform structure analysis, calculate basic structure indicators, estimate a basic period, and estimate a maximum stress ratio. The basic structure indicators, the basic period, and the maximum stress ratio are used to determine structure regularity. The structure performance, deflection, seismic performance, and stability performance are analyzed to determine whether the structure is compliant. The structure simulation result is determined according to the structure compliance. If both the energy consumption simulation and the structure simulation are compliant, the performance simulation result of the building performance simulation is passed. The first BIM model is used as a preset BIM model.

[0078] In step S20, the preset BIM model is updated based on the construction monitoring information and a preset construction relationship tree to obtain a target BIM model.

[0079] It should be noted that the preset construction relationship tree is a preset construction relationship tree, including an organizational structure relationship tree, a process relationship tree, and a component relationship tree.

[0080] It can be understood that the preset BIM model is updated based on the construction monitoring information and the preset construction relationship tree to obtain a target BIM model.

[0081] In step S30, the target building after completion is managed based on the target BIM model.

[0082] It should be noted that the target building after completion is managed based on the target BIM model.

[0083] The embodiment provides a BIM-based intelligent building management method, real-time construction monitoring of a target building is performed based on a preset BIM model and a preset Internet of Things device to obtain construction monitoring information; the preset BIM model is updated based on the construction monitoring information and a preset construction relationship tree to obtain a target BIM model; and the target building after completion is managed based on the target BIM model. Compared with traditional building management relying on manual monitoring, the embodiment can effectively complete monitoring of the whole cycle of the building. The BIM model is used to monitor the construction site in real time, and the building model is updated in real time. The operation and maintenance of the target building are completed through the updated building model, the safety during the construction of the building to completion is effectively improved, and the monitoring of the whole cycle of the building is effectively completed.

[0084] Based on the above Figure 1 The first embodiment is shown, and the second embodiment of the BIM-based intelligent building management method of the present application is proposed; refer to Figure 2 , Figure 2 The flowchart of the second embodiment of the BIM-based intelligent building management method of the present application is shown. Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as the above first embodiment can be referred to the above introduction, and the following will not be repeated.

[0085] In the embodiment, as Figure 2 shown, the step S20 further includes:

[0086] In step S201, the construction progress, the component installation state, and the site safety state of the construction monitoring information are analyzed based on the YOLOv10n model to obtain the construction progress information, the component installation state, and the site safety state.

[0087] It should be noted that compared with YOLOv8n, the YOLOv10n model maintains the lightweight (nano) while achieving higher inference speed and equivalent or better accuracy through NMS (non-maximum suppression) design and model structure optimization. This is crucial for construction monitoring scenarios that require processing large video streams and low latency. Therefore, the present scheme selects the YOLOv10n model to process video stream data in construction monitoring information, and uses the optimized YOLOv10n model to perform multi-task analysis on real-time video streams or regularly captured monitoring images, extracting structured semantic information. The real-time video streams or high-definition image sequences collected by fixed cameras, mobile devices (such as drones, robots) deployed in the construction site are input into the YOLOv10n model for multi-dimensional analysis, including construction progress, component installation status, and on-site safety status analysis, obtaining construction progress information, component installation status, and on-site safety status. The steps of training and optimizing the YOLOv10n model include: collecting construction site image data, labeling data sets for progress analysis (components, machinery, activities), component status (installation status, quality), and safety hat wearing, and training the YOLOv10n model, selecting multiple specialized models or a multi-task model to detect multiple targets simultaneously. The trained and optimized model is used as the final model, and the trained model is integrated into the construction monitoring system to process real-time video streams or regularly uploaded images, and is integrated with the construction plan management system (such as Microsoft Project, Primavera P6) to obtain plan data. The analysis results (progress, status, safety) are visualized, such as displayed on the BIM model or construction dashboard. When detecting progress deviation or safety problems, an alarm is triggered.

[0088] It can be understood that the construction monitoring information is analyzed to extract data that needs to be updated to the BIM model. According to the construction progress information, the state of the related component in the BIM model is updated (for example, the state of the component is updated from "not started" to "completed"). According to the component installation status, the installation information of the component in the BIM model is updated, including installation time, installation quality, etc. According to the on-site safety status, the safety hazard area is labeled or the safety event is recorded in the BIM model.

[0089] It can be understood that the construction progress can be determined by taking panoramic and key area photos and videos of the site by regular cruising, the component installation state can be determined by embedding sensors on key components (such as steel beams and precast columns) to record their identity ID, installation position, time, stress, strain, and inclination, and real-time monitoring of their stress and attitude. Safety state monitoring can be automatically identified by video AI analysis, such as safety helmet wearing, reflective vest wearing, dangerous area intrusion, open fire, smoke, etc. Through Internet of Things sensors to monitor tower crane load and amplitude, elevator operation state, edge protection displacement, environmental PM2.5 / noise, etc., personnel location can also be tracked in real time through UWB / BLE technology to prevent entering dangerous areas.

[0090] Further, the step S201 further comprises: based on the YOLOv10n model and the construction monitoring information, analyzing the construction total progress, milestone progress and key path state corresponding to the target construction site, determining the construction progress deviation and the estimated completion time, and determining the construction progress information according to the construction progress deviation and the estimated completion time; determining the component installation state based on the component state, installation information and quality information in the construction monitoring information; identifying the safety helmet wearing state of the construction personnel in the construction monitoring information based on the YOLOv10n model, and determining the worker safety state according to the identification result; and determining the site safety state according to the worker safety state and the component installation state.

[0091] It should be noted that the progress information is extracted from the construction monitoring information, the construction total progress, milestone progress and key path state corresponding to the target construction site are analyzed to determine the construction progress deviation and the estimated completion time, the component installation state is determined based on the component state, installation information and quality information in the construction monitoring information, and in order to accurately identify whether the safety helmet is worn, the YOLOv10n model is used for identification.

[0092] It can be understood that for construction progress analysis, the scheme inputs image or video type construction monitoring information, uses a YOLOv10n model to detect key components and activities in the construction scene, which correspond to tasks in the construction plan, and sets a construction plan benchmark, including the total progress plan, milestone nodes and tasks on the critical path. By detecting the components and activities, the completed tasks are calculated, compared with the plan, and the construction progress deviation (such as ahead of or behind schedule) is obtained. According to the current progress and planned progress, the completion time is estimated using statistical methods or machine learning models. For example: input continuous construction monitoring information (video stream / image sequence) into the YOLOv10n model for analysis, identify and count the completed permanent engineering components (such as structural columns, main beams, floors, walls) in different construction areas (such as A core tube, B floor, C outer wall), and compare the detected component quantity and type with the total component quantity in the BIM model. By the calculation formula: total progress (%) = (total value quantity or total engineering quantity of recognized completed components / total engineering quantity of BIM model plan) * 100%, the construction total progress percentage and overall completion are determined. For preset milestone node monitoring information, the YOLOv10n model detects the irreversible landmark state directly related to the key milestone. For example: "structure topping": detect whether the last floor slab or roof truss of the roof layer is hoisted in place. "Curtain wall closure": detect whether the installation of building peripheral curtain wall units or windows is continuous, complete, and has no large area missing. "Main equipment arrival": identify whether a specific large equipment (such as a water chiller, an elevator traction machine) appears at a specified location. Match the YOLOv10n identification result with the completion standard of the milestone to determine the status of each milestone (not started, in progress, completed, delayed) and the actual completion / estimated completion date, thereby determining the milestone progress. For critical path state analysis and prediction, construction activities on the critical path are continuously monitored. For example, on the "main structure construction" critical path, the progress of activities such as steel structure hoisting and concrete pouring are continuously detected, and the construction personnel density in the key activity area and the working state of large machinery (such as tower crane, pump truck) are detected. Compare the actual completed work quantity analyzed by YOLOv10n with the "planned completed work quantity-S curve" in the plan to calculate the progress deviation (SV), based on the current actual production efficiency (unit time completed component quantity), re-estimate the required time for the remaining work on the critical path, thereby predicting the final completion time of the entire project, and comparing it with the original plan. Thus, the critical path state (normal, at risk, delayed), construction progress deviation value and updated estimated completion time are determined.

[0093] It should be understood that, for the construction installation state analysis, the scheme detects the state, installation information and quality information of the component by using the YOLOv10n model. For example, whether the component is installed, whether the installation position is correct, and whether there is a quality problem (such as damage, deformation, etc.). According to the detection result, the installation state of each component is determined (such as: not installed, installing, installed, installation unqualified), so as to determine the component installation state. For the worker safety state analysis, the scheme detects whether the construction worker wears a safety helmet by using the YOLOv10n model. Other safety equipment (such as safety belts, reflective clothes, etc.) can be extended. The safety helmet wearing safety detection of the scheme is to determine the safety state of the worker (safe / unsafe) according to the recognition result of the safety helmet wearing. The on-site safety state determination is to evaluate the safety state of the whole site by comprehensively considering the safety state of the worker and the component installation state (such as whether the component installation is stable, whether there is a collapse risk, etc.). For example, if multiple workers do not wear safety helmets, and at the same time there is an unstable component installation, the on-site safety state is dangerous.

[0094] In a specific implementation, when the original data of the construction monitoring information is collected, the scheme first performs data cleaning and preprocessing, filters invalid data, corrects abnormal values, and unifies the time stamps of all data, and associates and maps the component ID and spatial position in the BIM model, and combines the YOLOv10n model to perform multi-dimensional data analysis on the preprocessed data, so as to determine the construction progress, component installation state and on-site safety state. The scheme constructs a stereoscopic analysis system from the micro (component, individual) to the macro (total progress, overall safety). Through the YOLOv10n model, the unstructured video data is converted into structured, actionable construction progress information (including deviation and prediction), component installation state and on-site safety state, so as to change the project management from passive response to active early warning and accurate decision-making, which is the core technical path to realize the intelligent construction site and lean construction.

[0095] Step S202, updating the preset BIM model based on the preset construction relationship tree, the construction progress information, the component installation state and the on-site safety state to obtain a target BIM model.

[0096] It should be noted that the construction progress, component installation state and on-site safety state are updated based on the preset construction relationship tree, and the BIM model updated after completion is taken as the target BIM model.

[0097] It can be understood that the preset construction relationship tree is a relationship tree constructed in advance according to five structures of construction project decomposition, work decomposition, organization decomposition, resource decomposition and component assembly. In construction supervision, the relationship tree can include the following: project breakdown structure (PBS): decomposes the project into smaller components. Work breakdown structure (WBS): decomposes the project into smaller work packages. Organization breakdown structure (OBS): decomposes the project organization into responsibility units. Resource breakdown structure (RBS): decomposes project resources. Component assembly structure: decomposes building components according to assembly sequence. Building a relationship tree in construction supervision is to clearly express the hierarchy and association between various elements (such as tasks, components, resources, responsible parties, etc.) in the construction process. This relationship tree can help managers understand the construction process, track problems, allocate responsibilities and optimize resources, and build a construction relationship tree. The construction relationship tree includes an organizational structure relationship tree, a process relationship tree and a component relationship tree.

[0098] In a specific implementation, the relationship tree is analyzed and updated based on the context: the relationship between components, tasks, organizations, etc. is understood using the relationship tree. Update progress information: map construction progress information to corresponding components and tasks in the BIM model. Update component installation status: update the properties of components in the BIM model according to the component installation status. Update the site safety status: associate safety status information with areas or components in the BIM model. Generate an update report and verify: record the update content and verify the consistency of the updated model. Output the target BIM model.

[0099] Further, the step S202 further comprises: updating the construction progress information, the component installation status and the site safety status according to the relationship tree nodes of the preset construction relationship tree to obtain an updated construction relationship tree; constructing a mapping relationship between the updated construction relationship tree and the preset BIM model; updating the preset BIM model based on the mapping relationship until the target building is accepted and the updated BIM model after completion is used as the target BIM model.

[0100] It should be noted that the relationship between the relationship tree and the model update in this scheme can be referred to Figure 3The model update diagram shown, where the preset BIM model is loaded: reading the BIM model file in IFC format, parsing the model structure: extracting building components, spatial relationships, attribute sets, etc. Information, load relationship tree: import organizational structure, process flow, component system three relationship trees, establish mapping relationship: create a bidirectional mapping between BIM elements and relationship tree nodes, and input construction progress information, component installation status, site safety status, and combine system verification: check data integrity and mapping accuracy, update organizational responsibility information, update process progress information, update component installation status, update safety status information, and generate quality check relationship to check the consistency of the model. If the check passes, output the updated BIM model after completion as the target BIM model.

[0101] In a specific implementation, the construction relationship tree is traversed, and the progress attribute of the node is updated according to the construction progress information. The state attribute of the corresponding node is updated according to the component installation state. The safety attribute of the related node is updated according to the site safety state. There is a mapping relationship between the construction relationship tree node and the BIM model element (such as component, space, etc.). This mapping relationship can be established when the relationship tree is built, or it can be established through the correspondence between the node ID and the BIM element ID. According to the mapping relationship, the attributes of the updated construction relationship tree node are synchronized to the corresponding elements of the BIM model. This process may include updating the property set of the BIM element, adding information of the construction stage. Until the target building is completed and accepted, and according to the updated BIM model after completion as the target BIM model, until the target building is completed and accepted, and according to the updated BIM model after completion as the target BIM model.

[0102] The embodiment provides a BIM-based intelligent building management method, which performs real-time construction monitoring on a target building based on a preset BIM model and a preset Internet of Things device, and obtains construction monitoring information; updates the preset BIM model based on the construction monitoring information and a preset construction relationship tree, and obtains a target BIM model; and performs operation and maintenance management on the target building after completion based on the target BIM model. Compared with traditional building management relying on manual monitoring, the embodiment can effectively complete monitoring of the whole cycle of the building by real-time monitoring of the construction site based on the BIM model and real-time updating of the building model, and effectively improves the safety during the construction of the building to completion, and effectively completes monitoring of the whole cycle of the building.

[0103] Based on the above Figure 1 The first embodiment shown, the third embodiment of the BIM-based intelligent building management method of the present application is proposed; refer to Figure 4 , Figure 4FIG. 3 is a flowchart illustrating a process of a third embodiment of the BIM-based intelligent building management method of the present application. Based on the first embodiment of the present application, in the third embodiment of the present application, the same or similar contents as the above first embodiment can be referred to the above description, and will not be repeated hereinafter.

[0104] In this embodiment, as shown in FIG. 3, the step S30 further includes: Figure 4

[0105] Step S301, extracting operation and maintenance information, equipment data, space data, system data and historical maintenance information from the target BIM model.

[0106] It should be noted that the operation and maintenance information can be project-level operation and maintenance information, such as project name, completion date, warranty information, maintenance contact, etc. The equipment data can traverse the equipment entities (such as IfcFlowController, IfcFlowMovingDevice, IfcFlowStorageDevice, IfcFlowTerminal, IfcEnergyConversionDevice, IfcElectricalElement, etc.) in the IFC model, for each equipment, extract its attributes (such as name, type, model, manufacturer, installation date, warranty period, maintenance interval, etc.), and record the location information of the equipment (by analyzing its spatial relationship). The space data can be to traverse the space entities (IfcSpace) in the IFC model, extract the name, type, area, capacity, environmental requirements (temperature, humidity, illumination, etc.) of each space and the related equipment. The system data can be to traverse the system entities (IfcSystem) in the IFC model, extract the name, type, component, performance index and energy consumption data of the system. The historical maintenance information can be extracted from the attribute set of the BIM model. These information may be stored in IfcPropertySet, usually in the form of custom attributes, analyze the maintenance record, including maintenance date, maintenance type, maintenance personnel, maintenance cost, etc.

[0107] ​In a specific implementation, device data extraction can be based on IFC entity type recognition and device attribute extraction, identifying IFC device entity types (IfcFlowController, IfcFlowMovingDevice, etc.), extracting device basic attributes: device ID, name, type, model, manufacturer, extracting device technical parameters: rated power, efficiency, operating temperature, etc. Performance indicators, extracting device location information: building floor, room number, coordinate position, extracting device installation information: installation date, warranty period, maintenance interval, evaluating device criticality level: high, medium, and low. Space data extraction is based on IFC space entities and geometric calculations, by extracting IFC space entity (IfcSpace) basic information, calculating space geometric properties: area, volume, height, identifying space function types: office, conference room, equipment room, etc. Extracting space environmental requirements: temperature, humidity, illumination, ventilation requirements, calculating space usage capacity: capacity estimation based on area and function type, establishing the association between space and device. System data extraction refers to IFC system entity and relationship analysis, by identifying building system entities (IfcSystem): HVAC, electrical, water supply and drainage, etc. Extracting system composition relationship: devices and components contained in the system, extracting system performance indicators: availability, reliability, efficiency, extracting energy consumption data: annual energy consumption, peak demand, carbon emissions, analyzing the dependency relationship and interaction logic between systems. Historical maintenance information extraction refers to parsing maintenance records in IFC attribute sets, by extracting maintenance history records from device attribute sets, parsing maintenance record format: maintenance date, type, cost, performer, extracting maintenance inspection results and quality evaluation data, analyzing maintenance frequency and effect trend, identifying recurring failure modes. Operation and maintenance information extraction refers to project-level attribute information extraction, by extracting project basic information: project name, completion date, construction unit, extracting warranty information: structure warranty, device warranty, decoration warranty period, extracting maintenance contact information: property management department, professional maintenance team, extracting key system identification: list of systems critical to operation and maintenance, extracting life cycle information: design life, expected service life.

[0108] Step S302, based on the operation and maintenance information, the device data, the space data, the system data and the historical maintenance information, an asset ledger is constructed.

[0109] It should be noted that the construction of the asset ledger can be constructed according to the extracted data, structured asset ledger. Including equipment asset ledger, space asset ledger, system asset ledger, constructing equipment asset ledger, creating asset records for each device, including basic information, financial information (asset value, depreciation rate, replacement cost, etc.), operation and maintenance information (installation date, warranty period, maintenance interval, last maintenance date, next maintenance date, etc.). Constructing a space asset ledger, creating an asset record for each space, including basic information (name, type, area, capacity, etc.), financial information (construction cost, maintenance cost, etc.), and operation and maintenance information (use, maintenance plan, etc.). Constructing a system asset ledger, creating an asset record for each system, including basic information (name, type, component components, etc.), financial information (installation cost, operation cost, etc.), and operation and maintenance information (energy consumption, performance indicators, etc.). Calculate financial data, calculate total asset value, annual maintenance budget, replacement reserve, etc. Generate maintenance plan, generate future maintenance plan based on device maintenance interval and last maintenance date.

[0110] In a specific implementation, the device asset ledger construction can be based on the extracted data to construct structured asset records, including constructing a device basic information ledger: name, type, model, location, calculating device financial information: acquisition cost, current value, depreciation rate, establishing device operation and maintenance information: installation date, warranty period, maintenance interval, recording device maintenance history: last maintenance, next maintenance, cumulative cost, and assessing device operating status: operating time, downtime, availability. The space asset ledger construction refers to space asset value assessment and use management, including calculating space construction cost: cost estimation based on type and area, determining space maintenance cost: annual maintenance budget and actual expenditure, establishing space use ledger: capacity, current utilization rate, booking situation, recording space equipment association: list of devices installed in the space, and establishing space maintenance plan: regular inspection and maintenance arrangement. The system asset ledger can be based on system-level asset management and performance monitoring, including estimating system installation cost: cost estimation based on system complexity, establishing system operating cost: energy consumption cost, maintenance cost, labor cost, recording system performance indicators: availability, reliability, efficiency trend, establishing system component relationship: composition relationship between system and device, and formulating system maintenance strategy: preventive, predictive maintenance plan. Financial data calculation and analysis refers to asset value calculation and financial analysis, including calculating total asset value: sum of device, space, and system values, formulating annual maintenance budget: budget allocation based on asset value, calculating replacement reserve: reserve for replacement of aging equipment, analyzing asset depreciation trend: value change analysis over time, and evaluating return on investment: relationship between maintenance investment and asset preservation. Maintenance plan generation refers to plan formulation based on device characteristics and historical data, including determining maintenance frequency: maintenance interval based on device type and criticality, formulating maintenance schedule: maintenance date arrangement for the next year, estimating maintenance cost: estimated cost of each maintenance, determining maintenance resources: required technical personnel, tools, spare parts, and optimizing maintenance sequence: scheduling based on dependency relationships and resource constraints.

[0111] In step S303, a maintenance task is generated based on the asset ledger, and the target building after completion is managed and maintained according to the maintenance task.

[0112] It should be noted that the maintenance task is generated based on the maintenance plan and device status in the asset ledger, which includes preventive maintenance tasks, predictive maintenance tasks, corrective maintenance tasks, and emergency maintenance tasks.

[0113] Further, the step S303 further includes querying the asset ledger, determining the maintenance frequency, maintenance time, and maintenance cost according to the device asset ledger and the space asset ledger contained in the asset ledger, and generating a maintenance plan; generating a maintenance task based on the maintenance plan and the device status, and managing and maintaining the target building after completion based on the maintenance task.

[0114] It should be noted that the maintenance plan generation refers to the planning based on the equipment characteristics and historical data, the determination of the maintenance frequency based on the equipment type and criticality, the determination of the maintenance schedule: the maintenance date arrangement of the next year, the determination of the maintenance resources: the required technical personnel, tools, spare parts, the optimization of the maintenance sequence: the scheduling based on the dependency relationship and resource constraints.

[0115] It should be understood that the asset ledger is queried, the maintenance frequency, the maintenance time and the maintenance cost are determined based on the equipment asset ledger, the space asset ledger and the system asset ledger contained in the asset ledger, and the maintenance plan is generated; the maintenance tasks are generated based on the maintenance plan and the equipment state, and the target building after completion is managed and operated based on the maintenance tasks, wherein the maintenance tasks include preventive maintenance tasks, predictive maintenance tasks, corrective maintenance tasks and emergency maintenance tasks.

[0116] It can be understood that the preventive maintenance task generation refers to the time triggered maintenance task, which identifies the maintenance tasks that are about to expire by scanning the maintenance plan and generates maintenance work orders, wherein the maintenance work orders contain equipment information, maintenance content and required resources; the task priority is determined based on the equipment criticality and the maintenance urgency, the task duration is estimated based on the maintenance complexity, the execution time is allocated considering the availability of resources. The predictive maintenance task generation is based on the early warning task of equipment state monitoring, which analyzes the equipment operation data: performance trend, failure signs, applies prediction algorithm based on historical data to predict failure, arranges diagnosis and maintenance in advance to generate early warning task, determines early warning level based on prediction reliability, and develops diagnosis plan with detailed inspection and test scheme. The corrective maintenance task is a reactive task based on fault report, which receives fault report through user report or automatic monitoring, analyzes the impact of fault on operation and safety, determines repair scheme to generate emergency work order: repair strategy based on fault type, estimates repair cost based on materials, labor and downtime cost. The emergency maintenance task refers to the quick response task in emergency situation, which starts emergency process through monitoring emergency events such as safety accidents and system failures, predefines emergency response procedure, generates emergency task with highest priority processing task, quickly allocates emergency resources with special team and equipment, and implements emergency treatment with emergency measures to control the development of the situation. The target building after completion is managed and operated through the above four types of maintenance tasks.

[0117] The embodiment provides a BIM-based intelligent building management method, real-time construction monitoring is performed on a target building based on a preset BIM model and a preset Internet of Things device, and construction monitoring information is obtained; the preset BIM model is updated based on the construction monitoring information and a preset construction relationship tree, and a target BIM model is obtained; and operation and maintenance management is performed on the target building after completion based on the target BIM model, compared with traditional building management relying on manual monitoring, the target building cannot be effectively monitored in the whole cycle, the embodiment realizes real-time monitoring of a construction site through the BIM model, and the building model is updated in real time, the operation and maintenance of the target building are completed through the updated building model, the safety during the period from building construction to completion is effectively improved, and the monitoring in the whole cycle of the building is effectively completed.

[0118] It should be noted that the above examples are only used for understanding the present application and do not constitute a limitation on the BIM-based intelligent building management method of the present application, and more forms of simple transformation based on the technical concept are within the protection scope of the present application.

[0119] The present application also provides a BIM-based intelligent building management system, please refer to Figure 5 The BIM-based intelligent building management system comprises:

[0120] The construction monitoring module 10 is configured to perform real-time construction monitoring on a target building based on a preset BIM model and a preset Internet of Things device, and obtain construction monitoring information.

[0121] The model updating module 20 is configured to update the preset BIM model based on the construction monitoring information and a preset construction relationship tree, and obtain a target BIM model.

[0122] The operation and maintenance management module 30 is configured to perform operation and maintenance management on the target building after completion based on the target BIM model.

[0123] The BIM-based intelligent building management system provided by the present application adopts the BIM-based intelligent building management method in the above embodiment, and can solve the technical problem that the traditional building management relies on manual monitoring and cannot effectively complete the monitoring in the whole cycle of the building. Compared with the prior art, the BIM-based intelligent building management system provided by the present application has the same beneficial effects as the BIM-based intelligent building management method provided by the above embodiment, and other technical features in the BIM-based intelligent building management system are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0124] The computer program product of the present application can be a computer program embodied on a non-transitory computer readable medium. When the program is executed by a computer, it can achieve the objectives of the present application. Accordingly, the technical schemes of the present application are definitely included in the protection scope of the present application.

[0125] The modules described in the embodiments of the present application can be implemented in the form of software or in the form of hardware. In some cases, the name of the module does not constitute a limitation on the module itself.

[0126] The above only describes some embodiments of the present application, and does not limit the scope of the present application. Any equivalent structural transformation made by using the content of the present application specification and drawings, or direct / indirect application in other related technical fields is included in the protection scope of the present application.

Claims

1.A BIM-based smart building management method, characterized by, The BIM-based intelligent building management method comprises: classifying building data corresponding to target building design drawings according to component types to obtain a component data set; integrating attribute information in the component data set into an initial BIM model to obtain a first BIM model; performing building performance simulation on the target building based on the first BIM model to obtain a performance simulation result; if the performance simulation result is passed, taking the first BIM model as a preset BIM model; performing real-time construction monitoring on the target building based on the preset BIM model and a preset Internet of Things device to obtain construction monitoring information; updating the preset BIM model based on the construction monitoring information and a preset construction relationship tree to obtain a target BIM model; performing operation and maintenance management on the completed target building based on the target BIM model; The step of updating the preset BIM model based on the construction monitoring information and a preset construction relationship tree to obtain a target BIM model comprises: analyzing the construction total progress, milestone progress and key path state of the target construction site based on a YOLOv10n model and the construction monitoring information, determining the construction progress deviation and the estimated completion time, and determining the construction progress information according to the construction progress deviation and the estimated completion time; determining the component installation state based on the component state, installation information and quality information in the construction monitoring information; identifying the construction personnel safety hat wearing state in the construction monitoring information based on the YOLOv10n model, and determining the worker safety state according to the identification result; determining the site safety state according to the worker safety state and the component installation state; updating the construction progress information, the component installation state and the site safety state according to the relationship tree nodes of the preset construction relationship tree to obtain an updated construction relationship tree; constructing the mapping relationship between the updated construction relationship tree and the preset BIM model; updating the preset BIM model based on the mapping relationship until the target building is completed and accepted, and taking the updated BIM model after completion as the target BIM model. 2.The BIM-based smart building management method of claim 1, wherein, The step of classifying building data corresponding to target building design drawings according to component types to obtain a component data set comprises: performing image preprocessing on target building design drawings to obtain an image set in a target image format; performing building component detection on the image set based on a YOLOv8n model to obtain boundary box coordinates, class information and confidence for each component; classifying each component according to the boundary box coordinates, the class information and the confidence, and generating a component data set. 3.The BIM-based smart building management method of claim 2, wherein, The building performance simulation is divided into energy consumption simulation and structure simulation, the performance simulation result comprises energy consumption simulation result and structure simulation result, and the step of performing building performance simulation on the target building based on the first BIM model to obtain a performance simulation result comprises: extracting building data from the first BIM model and calculating building total area, building envelope area and building window-wall ratio; According to the preset meteorological data, the total area of the building, the building envelope area, and the building window-wall ratio, energy consumption simulation is performed on the target building to obtain total energy consumption, peak load, daylighting coefficient, and carbon emissions; According to the total energy consumption, the peak load, the daylighting coefficient, and the carbon emissions, an energy consumption level is determined, and an energy consumption simulation result is determined according to the energy consumption level; From the first BIM model, structural member information is extracted, and the structural performance, deflection, seismic performance, and stability performance of the target building are analyzed according to the structural member information to obtain a structural performance analysis result; According to the structural performance analysis result, structural simulation is performed on the target building to obtain a structural simulation result. 4.The BIM-based smart building management method of claim 1, wherein, The step of performing operation and maintenance management on the completed target building based on the target BIM model comprises: Extracting operation and maintenance information, equipment data, space data, system data, and historical maintenance information from the target BIM model; Based on the operation and maintenance information, the equipment data, the space data, the system data, and the historical maintenance information, an asset ledger is constructed; Based on the asset ledger, a maintenance task is generated, and the completed target building is managed according to the maintenance task. 5.The BIM-based smart building management method of claim 4, wherein, The step of generating a maintenance task based on the asset ledger and performing operation and maintenance management on the completed target building according to the maintenance task comprises: Querying the asset ledger, determining the maintenance frequency, maintenance time, and maintenance cost based on the equipment asset ledger and the space asset ledger contained in the asset ledger, and generating a maintenance plan; Based on the maintenance plan and the equipment state, a maintenance task is generated, and the completed target building is managed based on the maintenance task. 6.A BIM-based smart building management system, characterized by, The BIM-based smart building management system comprises: A construction monitoring module for monitoring the target building in real time based on a preset BIM model and a preset Internet of Things device to obtain construction monitoring information; A model updating module for updating the preset BIM model based on the construction monitoring information and a preset construction relationship tree to obtain a target BIM model; An operation and maintenance management module for performing operation and maintenance management on the completed target building based on the target BIM model; Before the step of monitoring the target building in real time based on a preset BIM model and a preset Internet of Things device to obtain construction monitoring information, the step further comprises: Classifying the building data corresponding to the target building design drawings according to the component type to obtain a component data set; Integrating the attribute information in the component data set into an initial BIM model to obtain a first BIM model; Performing building performance simulation on the target building based on the first BIM model to obtain a performance simulation result; If the performance simulation result is passed, the first BIM model is used as the preset BIM model; The step of updating the preset BIM model based on the construction monitoring information and a preset construction relationship tree to obtain a target BIM model comprises: based on the YOLOv10n model and the construction monitoring information, analyze the total construction progress, milestone progress and key path state of the target construction site, determine the construction progress deviation and the estimated completion time, and determine the construction progress information according to the construction progress deviation and the estimated completion time; determine the component installation state based on the component state, installation information and quality information in the construction monitoring information; identify the safety helmet wearing state of the construction personnel in the construction monitoring information based on the YOLOv10n model, and determine the worker safety state according to the identification result; determine the site safety state according to the worker safety state and the component installation state; update the construction progress information, the component installation state and the site safety state according to the relationship tree node of the preset construction relationship tree, and obtain an updated construction relationship tree; construct the mapping relationship between the updated construction relationship tree and the preset BIM model; update the preset BIM model based on the mapping relationship until the target building passes the completion acceptance, and use the updated BIM model after completion as the target BIM model.

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