Building quality inspection method and system based on BIM

Abstract

The present application provides a BIM-based building quality inspection method and system, which first automatically loads and identifies the first building information model of the building at different construction stages, and then intelligently screens out the second building components with higher quality control requirements based on preset quality control indicators. Subsequently, these key components are used to construct an intuitive quality control heat map, which not only intuitively displays the quality control status of each component, but also distinguishes the importance of different component categories in quality control through thermal values. Finally, based on the constructed quality control heat map, any target building information model is quickly and comprehensively inspected for quality, and potential quality problems are effectively identified, providing strong technical support for the continuous improvement of building quality, which not only simplifies the quality inspection process and reduces human errors, but also greatly improves the scientific nature and timeliness of quality inspection work.

Description

Technical Field

[0001] The present application relates to the field of smart building technology, and more specifically, to a building quality detection method and system based on BIM. Background Art

[0002] With the rapid development of the construction industry, the scale of buildings continues to expand, the structure becomes increasingly complex, and the requirements for building quality are becoming higher and higher. Traditional building quality inspection methods mostly rely on manual on-site sampling, which is not only inefficient, but also easily affected by human factors, resulting in deviations in the inspection results. In addition, with the widespread application of Building Information Modeling (BIM) technology, the construction industry has gradually realized the transition from two-dimensional drawings to three-dimensional models, which has made it possible for intelligent inspection of building quality.

[0003] However, the application of existing BIM technology in building quality inspection still faces many challenges. On the one hand, the BIM model contains a large amount of building information, and how to screen out the most critical components for quality control has become an urgent problem to be solved. On the other hand, traditional quality inspection methods can often only evaluate a single component, and it is difficult to fully reflect the overall quality status of the building. Therefore, developing a method that can realize intelligent and comprehensive inspection of building quality based on the BIM model is of great significance to improving the quality management level of the construction industry. Summary of the invention

[0004] In view of this, the purpose of this application is to provide a building quality inspection method and system based on BIM, which automatically loads and parses the building information model through the BIM quality assessment platform, intelligently screens out key components according to preset quality control indicators, and constructs a quality control heat map to achieve an intuitive display and rapid evaluation of the overall quality of the building. It aims to solve the problems of low efficiency, large influence of human factors, and limited inspection scope in existing building quality inspection methods, and provide the construction industry with a more scientific, efficient, and comprehensive quality inspection method.

[0005] According to a first aspect of the present application, a building quality detection method based on BIM is provided, the method comprising:

[0006] According to a model loading instruction on the BIM quality assessment platform, a first building information model is obtained, wherein the first building information model represents a plurality of first building components constructed in the first phase of the building;

[0007] selecting a plurality of second building components from the plurality of first building components based on target component quality control indicators of the plurality of first building components covered by the first building information model, the target component quality control indicators representing quality control indicators called during the construction process when the model is applied, and the target component quality control indicators of the plurality of second building components being greater than the remaining first building components;

[0008] A first quality control thermodynamic map is constructed based on the plurality of second building components, wherein each network member in the first quality control thermodynamic map represents a second building component, a member parameter of each network member represents an index parameter of a target component quality control index of the second building component corresponding to the network member, and network members of different component categories have different quality control thermodynamic values;

[0009] A building quality inspection is performed on any target building information model based on the first quality control heat map.

[0010] For example, in a possible implementation of the first aspect, the step of performing building quality inspection on any target building information model based on the first quality control heat map includes:

[0011] Loading a target building information model on the BIM quality assessment platform;

[0012] Aligning the first quality control heat map with the target building information model so that network members in the first quality control heat map correspond to specific building components in the target building information model;

[0013] Mapping the quality control indicators and thermal values ​​in the first quality control thermodynamic map to the corresponding building components of the target building information model, wherein if the target building information model is changed during the quality inspection process, the first quality control thermodynamic map is updated in real time;

[0014] Extracting quality control indicators of each building component from the target building information model, wherein the quality control indicators include size control indicators, material control indicators, strength control indicators, durability control indicators, and the like;

[0015] The quality control index and the thermal value in the first quality control thermodynamic map are used to perform a quality assessment on each building component in the target building information model, specifically by comparing the quality control index of the building component with the corresponding quality control index in the first quality control thermodynamic map; if the quality control index value of the building component is lower than the corresponding quality control index value in the first quality control thermodynamic map, the building component is determined to be a problematic building component, and the problematic building component is located in the target building information model.

[0016] In a possible implementation manner of the first aspect, constructing a first quality control heat map according to the plurality of second building components includes:

[0017] Acquire component label information of each second building component from the first building information model, wherein the component label information represents a component category of the second building component;

[0018] If the component label information of any one of the second building components is a basic building component, the component category of the second building component is a load-bearing component;

[0019] If the component label information of any of the second building components is a non-basic building component, then obtaining the design source information of the second building component, if the design source information is an original design drawing, then the component category of the second building component is a key building component, if the design source information is a non-original design drawing, then the component category of the second building component is a conventional building component;

[0020] Each network member in the first quality control heat map is constructed according to the target component quality control index and component category of each second building component.

[0021] In a possible implementation manner of the first aspect, constructing each network member in the first quality control heat map includes:

[0022] In the first quality control heat map, the label vectors are updated with emphasis on building component categories of network members that are key building components.

[0023] In a possible implementation manner of the first aspect, constructing a first quality control heat map according to the plurality of second building components includes:

[0024] According to the model loading instruction on the BIM quality assessment platform, a second building information model is obtained, wherein the second building information model represents a plurality of third building components constructed in a second stage of the building, and the second stage is located before the first stage;

[0025] selecting a plurality of fourth building components from the plurality of second building components, the fourth building components being second building components that are newer than the plurality of third building components;

[0026] The first quality control heat map is constructed, and first updated label vectors for the plurality of fourth building components are constructed on the first quality control heat map, wherein the first updated label vectors represent that the fourth building components are updated compared with the third building components.

[0027] In a possible implementation manner of the first aspect, selecting a plurality of fourth building components from the plurality of second building components includes:

[0028] selecting from said second plurality of building elements said fourth plurality of building elements being extended compared to said third plurality of building elements; or

[0029] The plurality of fourth building components having improved target component quality control indicators compared to the plurality of third building components are selected from the plurality of second building components.

[0030] In a possible implementation manner of the first aspect, after constructing the first quality control thermogram, the method further includes:

[0031] According to the network member screening instruction on the BIM quality assessment platform, according to the target network member attribute corresponding to the network member screening instruction, screening out a plurality of fifth building components including the target network member attribute from the plurality of second building components; or

[0032] According to the network member screening instruction on the BIM quality assessment platform, according to the target network member name corresponding to the network member screening instruction, screening out a plurality of fifth building components including the target network member name from the plurality of second building components; or

[0033] According to the network member screening instruction on the BIM quality assessment platform and according to the first network member scale corresponding to the network member screening instruction, a plurality of fifth building components are determined from the plurality of second building components, and the target component quality control index of the plurality of fifth building components is greater than that of the remaining second building components;

[0034] A second quality control thermodynamic map is constructed based on the plurality of fifth building components, wherein each network member in the second quality control thermodynamic map represents a fifth building component, and network members of different component categories have different quality control thermodynamic values.

[0035] In a possible implementation of the first aspect, the method further includes:

[0036] According to the relevance mining instruction for the target building component on the BIM quality assessment platform, one or more sixth building components are selected from the plurality of first building components, wherein the sixth building component is a first building component having a connected knowledge feature with the target building component;

[0037] A first connected knowledge structure is constructed based on the one or more sixth building components, wherein each network member in the first connected knowledge structure represents a sixth building component, and the connected knowledge features between the sixth building components are represented by directed lines.

[0038] In a possible implementation of the first aspect, after constructing the first connected knowledge structure, the method further includes:

[0039] According to the connected knowledge feature screening instruction on the BIM quality assessment platform, according to the screening feature vector corresponding to the connected knowledge feature screening instruction, screening out a plurality of seventh building components corresponding to the screening feature vector from the plurality of sixth building components;

[0040] A second connected knowledge structure is constructed based on the one or more seventh building components, wherein each network member in the second connected knowledge structure represents a seventh building component, and the connected knowledge features between the seventh building components are represented by directed lines.

[0041] In a possible implementation manner of the first aspect, the selecting, according to the connectivity knowledge feature selection instruction on the BIM quality assessment platform and according to the selection feature vector corresponding to the connectivity knowledge feature selection instruction, a plurality of seventh building components corresponding to the selection feature vector from the plurality of sixth building components includes:

[0042] According to the connectivity knowledge feature screening instruction on the BIM quality assessment platform, and according to the target connectivity strength parameter corresponding to the connectivity knowledge feature screening instruction, determining one or more seventh building components at the target connectivity strength parameter of the target building component from the plurality of sixth building components;

[0043] According to the connectivity knowledge feature screening instruction on the BIM quality assessment platform, and according to the target connectivity breadth parameter corresponding to the connectivity knowledge feature screening instruction, determining one or more seventh building components at the target connectivity breadth parameter of the target storage network member from the plurality of sixth building components;

[0044] According to the connected knowledge feature screening instruction on the BIM quality assessment platform, and according to the target connected knowledge link sequence number corresponding to the connected knowledge feature screening instruction, determining one or more seventh building components on the target scale connected knowledge feature chain of the target building component from the plurality of sixth building components, wherein the target scale is equal to the target connected knowledge link sequence number;

[0045] According to the connectivity knowledge feature screening instruction on the BIM quality assessment platform, and according to the second network member scale corresponding to the connectivity knowledge feature screening instruction, one or more seventh building components are determined from the plurality of sixth building components, and the target component quality control index of the one or more seventh building components is greater than that of the remaining sixth building components;

[0046] According to the connected knowledge feature screening instruction on the BIM quality assessment platform, multiple sixth building components whose component label information is used as the basic building components are removed from the multiple sixth building components to generate one or more seventh building components.

[0047] According to the second aspect of the present application, a BIM-based building quality inspection system is provided, wherein the BIM-based building quality inspection system comprises a machine-readable storage medium and a processor, wherein the machine-readable storage medium stores machine-executable instructions, and when the processor executes the machine-executable instructions, the BIM-based building quality inspection system implements the aforementioned BIM-based building quality inspection method.

[0048] According to a third aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed, the aforementioned BIM-based building quality inspection method is implemented.

[0049] According to any one of the above aspects, the technical effect of the present application is:

[0050] The embodiment of the present application significantly improves the efficiency and accuracy of building quality inspection by intelligently analyzing and screening key components in the building information model. Specifically, the first building information model of the building at different construction stages is automatically loaded and identified, and then the second building component with higher quality control requirements is intelligently screened out based on the preset quality control indicators. Subsequently, these key components are used to construct an intuitive quality control heat map, which not only intuitively displays the quality control status of each component, but also distinguishes the importance of different component categories in quality control through thermal values. Finally, based on the constructed quality control heat map, any target building information model is quickly and comprehensively inspected for quality, and potential quality problems are effectively identified, providing strong technical support for the continuous improvement of building quality, not only simplifying the quality inspection process and reducing human errors, but also greatly improving the scientificity and timeliness of quality inspection work, which is of great significance for ensuring the quality of construction projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0052] Figure 1 A flowchart of a BIM-based building quality inspection method provided in an embodiment of the present application.

[0053] Figure 2 A schematic diagram of the component structure of a BIM-based building quality inspection system for implementing the above-mentioned BIM-based building quality inspection method provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical scheme and advantages of the embodiment of the present application clearer, the technical scheme in the embodiment of the present application will be clearly and completely described below according to the drawings in the embodiment of the present application. It should be understood that the drawings in the present application only serve the purpose of explanation and description, and are not used to limit the scope of protection of the present application. In addition, it should be understood that the schematic drawings are not drawn in real proportion. The flowchart used in this application shows the operations implemented according to some embodiments of the embodiment of the present application. It should be understood that the operations of the flowchart can be implemented out of sequence, and the steps without logical context can be reversed in order or implemented simultaneously. In addition, those skilled in the art can add multiple other operations to the flowchart under the guidance of the content of the present application, and can also destroy multiple operations from the flowchart.

[0055] Figure 1 The flowchart of the BIM-based building quality detection method and system provided in the embodiment of the present application is shown. It should be understood that in other embodiments, the order of some steps in the BIM-based building quality detection method of this embodiment can be shared with each other according to actual needs, or some steps can be omitted or maintained. The detailed steps of the BIM-based building quality detection method include:

[0056] Step S110: acquiring a first building information model according to a model loading instruction on a BIM quality assessment platform, wherein the first building information model represents a plurality of first building components constructed in a first stage of the building.

[0057] In this embodiment, it is assumed that in a construction project of a large commercial complex, the BIM quality assessment platform is deployed on a server. The construction party has completed the construction of some building structures, such as the main frame and some infrastructure, in the first phase. At this time, the project engineer issues a model loading instruction on the BIM quality assessment platform, and the server receives the model loading instruction.

[0058] According to the model loading instruction, the server obtains the first building information model corresponding to the project from the pre-stored building information model database, and the first building information model represents in detail the multiple first building components constructed in the first stage of the building, such as concrete columns, steel beams, prefabricated floor slabs, etc. Taking the concrete column as an example, the first building information model includes its geometric dimensions (such as height, diameter), concrete strength grade, steel bar configuration and other information; the steel beam includes its cross-sectional shape, length, material and other detailed parameters; the prefabricated floor slab includes the slab thickness, concrete grade, reserved hole position and so on.

[0059] Step S120: selecting a plurality of second building components from the plurality of first building components based on target component quality control indicators of the plurality of first building components covered by the first building information model, wherein the target component quality control indicators represent quality control indicators called during the construction process when the model is applied, and the target component quality control indicators of the plurality of second building components are greater than those of the remaining first building components.

[0060] In this embodiment, after acquiring the first building information model, the server starts to analyze the target component quality control indicators of each first building component therein, and these target component quality control indicators may include strength, durability, dimensional accuracy, material quality, etc. of the component.

[0061] Assume that for concrete columns, the strength requirement is C40, and the actual test strength of C35 and above is considered to be qualified for quality control indicators; for steel beams, the yield strength requirement is not less than 345MPa, and the actual yield strength of 300MPa and above is considered to be qualified for quality control indicators; for prefabricated floor slabs, the thickness deviation is allowed to be within ±5mm, and the actual deviation within ±3mm meets the quality control indicators. The server selects multiple second building components from a large number of first building components based on these set quality control indicator thresholds, and the target component quality control indicators of these second building components are greater than the remaining first building components. For example, among concrete columns, columns with actual strengths of C40 and above are selected as second building components; among steel beams, those with yield strengths exceeding 345MPa are selected; and among prefabricated floor slabs, those with thickness deviations within ±2mm are included in the second building components.

[0062] Step S130, constructing a first quality control thermodynamic map based on the multiple second building components, wherein each network member in the first quality control thermodynamic map represents a second building component, and a member parameter of each network member represents an index parameter of a target component quality control index of the second building component corresponding to the network member, and network members of different component categories have different quality control thermodynamic values.

[0063] In this embodiment, the server constructs a first quality control heat map according to the screened plurality of second building components.

[0064] First, the server obtains the component label information of each second building component from the first building information model. For example, some concrete columns marked as "critical load-bearing columns" are classified as load-bearing components; some non-foundation steel beams whose design sources are original design drawings are classified as critical building components; and some prefabricated stairs that are not foundations and whose design sources are not original design drawings are classified as conventional building components. Then, the server constructs each network member in the first quality control heat map based on the target component quality control indicators and component categories of each second building component. In this first quality control heat map, each network member represents a second building component.

[0065] For load-bearing components, such as critical load-bearing columns with a strength of C50, the member parameters of their network members in the first quality control thermodynamic diagram may be set to a high-strength grade, and the corresponding quality control thermal value is relatively high, such as represented by red; for critical building components, such as steel beams with a yield strength of 420MPa, the member parameters of their network members are set to a higher strength grade, and the thermal value is moderate, such as represented by orange; for conventional building components, such as prefabricated stairs, if their various indicators meet the standards but are relatively less critical, the member parameters of their network members are set to an ordinary grade, and the thermal value is lower, such as represented by yellow.

[0066] Step S140: Perform building quality inspection on any target building information model based on the first quality control heat map.

[0067] In the subsequent construction process, the new building part is completed and forms a target building information model. The server performs building quality inspection on the target building information model based on the constructed first quality control thermal map.

[0068] The server first loads the target building information model on the BIM quality assessment platform. Assume that this is the upper structure of the building, including new concrete beams, columns and some non-load-bearing walls. Then, the server aligns the first quality control thermodynamic map with the target building information model. Through the component identification and coordinate information in the model, the network members in the thermodynamic map can accurately correspond to the specific building components in the target building information model. Then, the server maps the quality control indicators and thermal values ​​in the first quality control thermodynamic map to the corresponding building components of the target building information model. During the detection process, if some components in the target building information model are changed, such as the cross-sectional size of a concrete beam is modified, the server will update the first quality control thermodynamic map in real time. The server extracts the quality control indicators of each building component from the target building information model, including size control indicators (such as beam length, width, height), material control indicators (such as concrete grade, steel bar specifications), strength control indicators (such as concrete compressive strength, steel beam yield strength), durability and other control indicators. Afterwards, the server uses the quality control indicators and thermal values ​​in the first quality control thermogram to perform a quality assessment on each building component in the target building information model. For example, for a new concrete beam, the design strength requirement is C30, and the actual detection strength is C28. The server compares it with the corresponding quality control indicator in the first quality control thermogram. Since the actual strength is lower than the standard in the thermogram, the server determines that the concrete beam is a problematic building component, locates it in the target building information model, and marks it as a part that needs rectification or further inspection.

[0069] If, when inspecting a non-load-bearing wall, it is found that the thermal insulation performance of its material is lower than expected, it will also be identified as a problematic building component and located. In this way, the server can comprehensively and accurately inspect the quality of the target building information model to ensure that the quality of the building meets the requirements.

[0070] Continuing with a residential building project as an example, assuming that the construction of the foundation and infrastructure is completed in the first phase, the first building information model obtained by the server includes components such as foundation piles and foundation beams.

[0071] For foundation piles, the target component quality control indicators include the integrity of the pile body, concrete strength, pile length and pile diameter, etc. The server selects foundation piles that meet the requirements as the second building component based on the set standards, such as concrete strength not less than C30, and the deviation of pile length and pile diameter within the allowable range.

[0072] For the foundation beam, in addition to strength and size indicators, factors such as the arrangement of its reinforcement and anchorage length are also considered. Foundation beams that meet higher quality control standards are selected into the second building component.

[0073] When constructing the first quality control heat map, the server classified the foundation piles and foundation beams as load-bearing components and critical building components, respectively. The load-bearing components have higher thermal values ​​to highlight their importance in the structure.

[0074] When quality inspection is performed on the second phase of the building information model, it is assumed that the main structure, including frame columns and floor slabs, has been completed. The server aligns the first quality control thermogram with the new model and extracts the quality control indicators for each component. If the concrete strength of a frame column is slightly lower than the standard in the thermogram, the server will identify it as a problematic component and mark its location, reminding the construction personnel to take measures.

[0075] For another example, in a hospital construction project, the first phase completed the partial structural construction of the outpatient building. The first building information model included components such as stairs and corridor handrails.

[0076] For stairs, quality control indicators include the consistency of step height and width, the firmness of handrails, etc. The server selects high-quality stairs as the second building component based on strict standards.

[0077] The quality control indicators of corridor handrails can include the corrosion resistance of the material, the firmness of the installation, etc. Handrails that meet high standards are selected into the second building component.

[0078] When constructing the first quality control heat map, the server assigns different heat values ​​according to the importance and quality level of the components. When performing quality inspection on the building information model in the subsequent stage, potential quality problems can be discovered quickly and accurately.

[0079] For example, when testing the building information model of the inpatient building, it was found that the material of the handrail in a certain section of the corridor did not meet the requirements in the thermal map. The server marked it in time and notified the relevant personnel to make corrections.

[0080] For example, in an industrial plant construction project, the first phase completed the construction of the main frame of the plant. The first building information model covers components such as steel beams and steel columns.

[0081] The target component quality control indicators of steel beams include the yield strength of steel, the deflection of steel beams, etc. The server selects steel beams with superior performance as the second building components according to high standards.

[0082] The quality control indicators of steel columns can include the verticality of the columns, compressive strength, etc. Steel columns that meet the strict requirements are selected into the second building components.

[0083] When constructing the first quality control thermal map, the server sets different thermal values ​​for different components according to the stress characteristics of the components and the degree of influence on the structural stability. When conducting quality inspections on the building information model of the subsequent expansion, the safety and reliability of the plant structure can be effectively guaranteed.

[0084] For example, when inspecting the expanded warehouse section, it was found that the verticality deviation of a certain steel column exceeded the allowable range in the thermal map. The server quickly located it and prompted for adjustment.

[0085] Assume that this is a school building project, and the first phase completed the foundation construction of the teaching building. The first building information model includes components such as the foundation raft and underground waterproofing works.

[0086] The quality control indicators of the foundation raft slab may include the anti-permeability of the concrete, the thickness of the raft slab, etc. The server selects the foundation raft slab with excellent performance as the second building component according to the high quality standards.

[0087] The quality control indicators of underground waterproofing projects include the integrity of the waterproof layer, the overlap length of the waterproof membrane, etc. Underground waterproofing projects that meet higher requirements are selected into the second building components.

[0088] When constructing the first quality control heat map, the server took into account the importance of foundation and waterproofing engineering to the durability of the building and set higher thermal values ​​for the relevant components. When conducting quality inspections on the subsequent building information model of the main structure of the teaching building, the quality of key parts can be focused on.

[0089] If the inspection finds that the concrete water-resistance performance of a certain floor slab does not meet the standard, the server will identify it as a problematic component and accurately locate it for timely processing.

[0090] For example, in a sports stadium construction project, the first phase completed the foundation construction of the stadium stands. The first building information model covers the stand foundation piles, support columns and other components.

[0091] For the grandstand foundation piles, the quality control indicators include the bearing capacity of the piles, the integrity of the pile body, etc. The server selects reliable quality foundation piles as the second building components according to strict specifications.

[0092] The quality control indexes of the supporting columns may include the strength, stability, etc. of the columns. The supporting columns meeting the high standards are selected into the second building component.

[0093] When constructing the first quality control heat map, the server assigns corresponding heat values ​​to the components according to their role and importance in the structure. When performing quality inspections on the subsequent building information models of the venue roof structure, the quality of the components can be evaluated in a targeted manner.

[0094] For example, when inspecting the steel beams on the roof, it was found that their welding quality did not meet the requirements in the thermal map. The server marked it in time and notified the maintenance personnel to handle it.

[0095] For another example, in a bridge construction project, the construction of bridge piers was completed in the first phase. The first building information model includes components such as bridge piers and caps.

[0096] The quality control indicators of the bridge piers can include concrete strength, pier verticality, etc. The server selects high-quality bridge piers as the second building components according to higher standards.

[0097] The quality control indicators of the foundation include the rationality of the steel bar arrangement, the density of the concrete, etc. The foundation that meets the strict requirements is selected into the second building component.

[0098] When constructing the first quality control thermodynamic map, the server set higher thermal values ​​for piers and abutments, taking into account their key position in the bridge structure. When conducting quality inspections on the subsequent building information models of bridge box girders, it is possible to accurately determine whether the quality of the components meets the requirements.

[0099] If the prestressing of the box girder is found to be insufficient during inspection, the server will identify it as a problematic component and indicate its location so that remedial measures can be taken.

[0100] For another example, in a subway station construction project, the foundation construction of the station hall layer was completed in the first phase. The first building information model includes underground continuous walls, columns and other components.

[0101] The quality control indicators of underground continuous walls may include the wall's anti-seepage performance, wall verticality, etc. The server selects underground continuous walls that meet the quality standards as the second building component based on strict standards.

[0102] The quality control indicators of the columns are such as concrete strength, column geometry, etc. Columns that meet higher requirements are incorporated into the second building component.

[0103] When constructing the first quality control heat map, the server assigns different heat values ​​to the components according to their importance in the subway station structure. When performing quality inspection on the subsequent platform-level building information model, potential quality problems can be efficiently discovered.

[0104] Suppose during inspection it is found that a beam on the platform level has a large size deviation, the server will identify it as a problematic component and mark it to remind construction workers to make corrections.

[0105] For example, in an airport terminal building project, the first phase completed part of the terminal building's main structure. The first building information model covered components such as steel structure roof trusses and concrete frame columns.

[0106] The quality control indicators of steel structure roof trusses include the material of steel, welding quality, deformation of the roof trusses, etc. The server selects reliable steel structure roof trusses as the second building components according to high standards.

[0107] The quality control indicators of concrete frame columns may include concrete strength, column axis position, etc. Concrete frame columns that meet strict requirements are selected into the second building component.

[0108] When constructing the first quality control heat map, the server took into account the complexity and importance of the terminal structure and set significant thermal values ​​for key components. When conducting quality inspections on the subsequent building information model of the terminal hall, the quality status can be quickly located and evaluated.

[0109] For example, during the inspection, it was found that a piece of curtain wall glass in the terminal hall was not strong enough. The server identified it as a problematic component and notified the public to replace it in time.

[0110] For another example, in a high-rise residential building project, the construction of the underground parking lot was completed in the first phase. The first building information model includes the columns, roof and other components of the parking lot.

[0111] The quality control indicators of the columns may include concrete strength, steel bar configuration, etc. The server selects high-quality columns as the second building components based on the set high quality standards.

[0112] The quality control indicators of the top plate include plate thickness, concrete crack resistance, etc. The top plates that meet the higher requirements are selected into the second building components.

[0113] When constructing the first quality control heat map, the server assigns corresponding heat values ​​to the components according to their role and importance in the parking structure. When quality testing the building information model of the subsequent residential floors, the quality of key parts can be checked in a targeted manner.

[0114] If the welding of the balcony railings on a certain floor of a house is found to be loose during inspection, the server will identify it as a problematic component and mark it, requiring the construction party to reinforce it.

[0115] For another example, in a commercial office building project, the foundation construction of the podium was completed in the first phase. The first building information model includes components such as the foundation raft and underground drainage pipes.

[0116] The quality control indicators of the foundation raft slab may include the strength of the concrete, the flatness of the raft slab, etc. The server selects the foundation raft slab that meets the requirements as the second building component according to strict standards.

[0117] The quality control indicators of underground drainage pipes include pipe material, pipe diameter, sealing, etc. Good quality underground drainage pipes are incorporated into the second building component.

[0118] When constructing the first quality control heat map, the server considers the importance of the foundation and drainage system to the normal use of the building and sets appropriate thermal values ​​for the relevant components. When conducting quality inspections on the subsequent building information model of the main structure of the office building, it can accurately assess whether the quality of the components meets the standards.

[0119] Suppose during inspection it is found that the floor flatness of an office on a certain floor has a large deviation. The server will identify it as a problematic component and mark it so that construction workers can make repairs.

[0120] For another example, in a library construction project, the foundation construction of the library was completed in the first phase. The first building information model covered components such as foundation piles and ground beams.

[0121] The quality control indicators of foundation piles include the bearing capacity of the piles, the integrity of the pile body, etc. The server selects foundation piles with superior performance as the second building components based on high standards.

[0122] The quality control indicators of the ground beam may include concrete strength, beam geometry, etc. The ground beam that meets the strict requirements is selected into the second building component.

[0123] When constructing the first quality control thermal map, the server sets higher thermal values ​​for key components based on the characteristics of the library structure and the requirements for stability. This can effectively ensure the quality of the building when performing quality inspections on the subsequent building information models of the reading area.

[0124] For example, during the inspection, it was found that the verticality of a column in the reading area did not meet the requirements. The server identified it as a problematic component and notified the rectification.

[0125] For another example, in a museum construction project, the first phase completed the partial structural construction of the exhibition hall. The first building information model included components such as steel structure trusses and concrete wall panels.

[0126] The quality control indicators of steel structure trusses include the strength of steel, the quality of truss node connections, etc. The server selects high-quality and reliable steel structure trusses as the second building components according to higher standards.

[0127] The quality control indicators of concrete wall panels include the flatness of the wall panels, the impermeability of concrete, etc. Concrete wall panels that meet the strict requirements are selected into the second building components.

[0128] When constructing the first quality control heat map, the server took into account the dual requirements of the museum building for display effect and structural safety, and assigned obvious thermal values ​​to key components. When conducting quality inspections on the subsequent building information models of the cultural relics warehouse, quality problems can be accurately discovered.

[0129] If the fire door of the cultural relics warehouse is found to be not sealed tightly during the inspection, the server will identify it as a problematic component and require its replacement.

[0130] For example, in a theater construction project, the first phase completed the foundation construction of the stage. The first building information model covers components such as stage foundation piles and stage support beams.

[0131] The quality control indicators of the stage foundation piles can include the settlement of the piles, the concrete strength of the pile body, etc. The server selects high-quality foundation piles as the second building components according to strict specifications.

[0132] The quality control indicators of stage support beams include beam deflection, beam fatigue resistance, etc. Support beams that meet high standards are selected into the second building components.

[0133] When constructing the first quality control heat map, the server sets higher heat values ​​for the relevant components based on the particularity and importance of the stage structure. When conducting quality inspections on the subsequent auditorium building information model, the quality status of the components can be evaluated in a targeted manner.

[0134] For example, during inspection, it was found that a ceiling panel in the auditorium was not installed firmly. The server identified it as a problematic component and notified the user to repair it.

[0135] For example, in a factory building project, the first phase completed the foundation treatment of the production workshop. The first building information model includes components such as foundation reinforcement piles and foundation cushions.

[0136] The quality control indicators of foundation reinforcement piles include the length of the piles, the integrity of the pile body, etc. The server selects qualified reinforcement piles as the second building components according to high quality standards.

[0137] The quality control indicators of the foundation cushion layer include the thickness of the cushion layer, the compaction degree of the material, etc. The cushion layer that meets the requirements is selected into the second building component.

[0138] When constructing the first quality control thermal map, the server considers the key role of the foundation in the stability of the plant and assigns corresponding thermal values ​​to the relevant components. When conducting quality inspections on the subsequent building information model of the main structure of the plant, possible quality risks can be discovered in a timely manner.

[0139] Suppose during inspection, it is found that there is a defect in the welding of a steel beam in the main structure of the factory building. The server will determine it as a problematic component and require rework.

[0140] For another example, in a logistics warehouse construction project, the first phase completed the construction of the warehouse foundation. The first building information model includes components such as foundation piers and foundation beams.

[0141] The quality control indicators of the foundation pier may include the concrete strength of the pier body, the bearing capacity of the pier, etc. The server selects the foundation piers that meet the quality standards as the second building components according to strict standards.

[0142] The quality control indicators of the foundation beam include the reinforcement condition of the beam, the crack resistance of the beam, etc. The foundation beam that meets the higher requirements is incorporated into the second building component.

[0143] When constructing the first quality control heat map, the server sets reasonable heat values ​​for key components based on the use characteristics of the logistics warehouse and the requirements for structural reliability. When performing quality inspections on the building information model of the subsequent warehouse shelf installation area, it can accurately determine whether the quality of the components meets the design requirements. If the floor flatness of the shelf installation area is found to be insufficient during the inspection, the server will identify it as a problematic component and notify rectification.

[0144] Based on the above steps, the embodiment of the present application significantly improves the efficiency and accuracy of building quality inspection by intelligently analyzing and screening key components in the building information model. Specifically, the first building information model of the building at different construction stages is automatically loaded and identified, and then the second building component with higher quality control requirements is intelligently screened out based on the preset quality control indicators. Subsequently, these key components are used to construct an intuitive quality control heat map, which not only intuitively displays the quality control status of each component, but also distinguishes the importance of different component categories in quality control through thermal values. Finally, based on the constructed quality control heat map, any target building information model is quickly and comprehensively inspected for quality, and potential quality problems are effectively identified, providing strong technical support for the continuous improvement of building quality, which not only simplifies the quality inspection process and reduces human errors, but also greatly improves the scientificity and timeliness of quality inspection work, which is of great significance for ensuring the quality of construction projects.

[0145] In a possible implementation, step S140 may include:

[0146] Step S141, loading the target building information model on the BIM quality assessment platform.

[0147] Step S142: aligning the first quality control heat map with the target building information model so that the network members in the first quality control heat map correspond to specific building components in the target building information model.

[0148] Step S143, mapping the quality control indicators and thermal values ​​in the first quality control thermodynamic map to the corresponding building components of the target building information model, wherein, during the quality inspection process, if the target building information model is changed, the first quality control thermodynamic map is updated in real time.

[0149] Step S144, extracting quality control indicators of each building component from the target building information model, wherein the quality control indicators include size control indicators, material control indicators, strength control indicators, durability and other control indicators.

[0150] Step S145, using the quality control index and thermal value in the first quality control thermodynamic map, perform quality assessment on each building component in the target building information model, specifically by comparing the quality control index of the building component with the corresponding quality control index in the first quality control thermodynamic map; if the quality control index value of the building component is lower than the corresponding quality control index value in the first quality control thermodynamic map, the building component is determined to be a problematic building component, and the problematic building component is located in the target building information model.

[0151] In this embodiment, the server, as the core processing unit of the BIM quality assessment platform, first receives a loading instruction from the front-end user interface, which specifies the target building information model to be loaded. The server then accesses its storage system or external database, retrieves and loads the target building information model according to the model identifier or path in the instruction, and the model may represent the construction results of the subsequent stages of the building, including the newly added or changed building component information.

[0152] After loading the target building information model, the server begins to align the pre-built first quality control heat map with the target building information model. During this process, the server uses the component identification (such as ID, name, etc.) and location information (such as coordinates, size, etc.) in the target building information model to match each network member in the first quality control heat map with a specific building component in the model. For example, a red node in the first quality control heat map may correspond to a high-strength steel beam in the target building information model. The server ensures that this correspondence is accurate by comparing the identification and location information of the two.

[0153] After alignment is completed, the server maps the quality control indicators and thermal values ​​in the first quality control thermal map to the corresponding building components in the target building information model, which means that each component in the target building information model will be assigned a thermal value that reflects the importance of the component in quality control and the current quality status. The server ensures that users can intuitively see the quality status of each component by updating the model view or metadata.

[0154] During the quality inspection process, if the target building information model changes due to design changes, component updates, etc., the server can capture these changes in real time and update the first quality control thermal map accordingly. For example, if a new concrete column is added to the target building information model, the server will automatically add a new network member to the thermal map and assign the corresponding thermal value according to its quality control index.

[0155] The server traverses all components in the target building information model and extracts quality control indicators for each component, including but not limited to size control indicators (such as length, width, height, etc.), material control indicators (such as concrete strength, steel bar specifications, etc.), strength control indicators (such as compressive strength, yield strength, etc.) and durability control indicators. The server stores these indicators in an internal data structure for subsequent comparison with the quality control indicators in the first quality control heat map.

[0156] The server uses the quality control indicators and thermal values ​​in the first quality control thermal map to evaluate the quality of each building component in the target building information model. This process is mainly achieved through comparison: the server compares the component quality control indicators in the model with the corresponding indicators in the thermal map.

[0157] If the quality control index value of the component is higher than or equal to the corresponding index value in the heat map, the server determines that the quality of the component is qualified and no special attention is needed. If the quality control index value of the component is lower than the corresponding index value in the heat map, the server determines that the component is a problematic building component and accurately locates and marks it in the target building information model. These marks may be presented to users in the form of highlights, annotations, or icons so that they can quickly identify and deal with problematic components.

[0158] For example, during the inspection process, the server found that the actual compressive strength of a concrete beam was 25MPa, while the corresponding index value in the first quality control thermodynamic map was 30MPa. Since the actual value was lower than the standard value, the server marked the concrete beam as a problematic component and clearly marked its location and specific problems in the model, prompting the user to take measures such as reinforcement or replacement.

[0159] In this way, a comprehensive and accurate quality inspection of the target building information model can be performed based on the first quality control heat map to ensure that the overall quality of the building meets the design requirements and safety standards.

[0160] In a possible implementation, step S130 includes:

[0161] Step S131: acquiring component label information of each second building component from the first building information model, wherein the component label information represents a component category of the second building component.

[0162] Step S132: If the component label information of any one of the second building components is a basic building component, the component category of the second building component is a load-bearing component.

[0163] Step S133: if the component label information of any one of the second building components is a non-basic building component, then the design source information of the second building component is obtained; if the design source information is an original design drawing, then the component category of the second building component is a key building component; if the design source information is a non-original design drawing, then the component category of the second building component is a conventional building component.

[0164] Step S134: constructing each network member in the first quality control heat map according to the target component quality control index and component category of each second building component.

[0165] In this embodiment, before constructing the first quality control heat map, the server first needs to extract component label information of each second building component from the first building information model. These component label information are usually associated with each component in the model and are used to identify characteristics such as the type, purpose or importance of the component.

[0166] For example, the server traverses all components in the first building information model, and for each element that is filtered as the second building component, queries its attribute list to find component label information. These labels may be directly stored in the attribute field of the component, or may need to be obtained by associating and querying other related data tables. For example, the component label of a concrete column may include descriptive terms such as "load-bearing column" and "core tube structure".

[0167] The server then determines the category of each second building component based on the acquired component label information.

[0168] If the component tag information of a second building component contains keywords such as "foundation" or "load-bearing", or matches the preset basic component category, the server determines that the component is a load-bearing component. For example, a component with a tag of "foundation slab" obviously belongs to the basic building component, and is therefore classified as a load-bearing component.

[0169] For non-basic building components, the server needs to query their design source information for further classification. The design source information may be stored in the properties of the component, or it needs to be retrieved by associating with an external design document database.

[0170] If the design source information indicates that the design of the component is directly derived from the original design drawings and is specially marked or emphasized during the design process, the server will determine it as a key building component. For example, a component clearly marked as a "structural transfer layer beam" on the design drawings will be considered a key building component.

[0171] If the design source information is not directly derived from the original design drawings, but is generated through design changes, design optimization or other non-original design processes, the server will determine it as a regular building component. For example, a wall whose size is adjusted later according to the actual situation on site is also an important component, but it is not considered a key component.

[0172] After determining the categories of all second building components, the server starts to construct a first quality control heat map according to the target component quality control indicators and component categories of these components.

[0173] In detail, the server creates a corresponding network member for each second building component, and these network members are represented by nodes, circles or other graphical elements in the heat map, and each element contains detailed information about the component, such as name, category, quality control indicators, etc.

[0174] Next, the target component quality control indicators of each second building component are mapped to its corresponding network member. These indicators can include multiple dimensions such as strength, dimensional accuracy, material quality, etc. Based on the specific value of the indicator, the server assigns a thermal value to each network member, which determines the member's visual performance in the thermal map (such as color depth, size, etc.). For example, a load-bearing component with excellent quality control indicators may be assigned a high thermal value, so that it appears in a striking red or dark tone in the thermal map.

[0175] In order to intuitively distinguish different categories of components, the server adjusts the visual attributes of network members according to the component category. Load-bearing components may be represented by thick borders, specific colors or patterns; key building components may use brighter colors or special icons; regular building components are presented in a more low-key style, so that users can quickly identify various types of components and their importance in quality control by viewing the heat map.

[0176] Thus, the first quality control heat map was constructed, which provided a powerful visualization tool for subsequent building quality inspection. In practical applications, this first quality control heat map will be used to quickly locate potential quality problem components and guide the implementation of on-site corrective measures, thereby improving the efficiency and accuracy of overall building quality management.

[0177] In a possible implementation manner, constructing each network member in the first quality control heat map includes: focusing on updating label vectors to construct network members whose component categories are key building components in the first quality control heat map.

[0178] In this embodiment, in the process of constructing the first quality control heat map, the server not only needs to create network members representing each second building component, but also needs to pay special attention to those members classified as key building components and highlight their importance in the heat map by focusing on updating their label vectors.

[0179] In detail, the server first screens out members with a component category of "key building components" from all second building components based on the component category information determined in the previous step. These components are usually of particular importance in design, construction or structural safety, and once problems occur, they may have a significant impact on the overall project.

[0180] For example, in a large commercial complex project, the server may identify the following types of key building components: beams of the structural transfer layer, shear walls of the core tube, supporting columns of large cantilever structures, etc. These components are specially marked as key components due to their key role in the structural system.

[0181] For the identified critical building components, the server will assign a unique label vector to its corresponding network member, which not only contains the basic information of the component (such as name, category, etc.), but also can contain additional metadata to emphasize its criticality, such as design importance level, construction difficulty coefficient, etc.

[0182] For example, the server might assign the following label vector to a network member of a key support column:

[0183] Name:"Main support column Z1"

[0184] Category: "Key building components"

[0185] DesignImportance: "High"

[0186] Construction Difficulty: "Complex"

[0187] Special Instructions: "Verticality needs to be precisely controlled and monitoring needs to be strengthened"

[0188] This label information not only helps to quickly identify key components in the thermal map, but also provides additional guidance and considerations for the construction team.

[0189] Based on the assigned label vectors, the server highlights the network members of key building components in the first quality control heat map. This is usually achieved by adjusting the visual attributes of the members, such as using brighter colors, larger sizes, special icons or borders, to make them stand out in the heat map.

[0190] For example, in a heat map:

[0191] A network member of the key support column Z1 might be represented by a striking red circle surrounded by a circle of thin lines to emphasize its importance.

[0192] When the mouse hovers over the member, an information box will pop up, displaying the detailed content of the above label vector for the user to view.

[0193] Heat maps may also allow users to click on key component members to view more detailed information or perform specific operations (such as viewing design drawings, construction records, etc.) through dynamic interactive functions.

[0194] As the project progresses and data is updated, the server needs to monitor the status of key building components in real time and update their label vectors and heat map displays when necessary. For example, if an abnormal fluctuation in the quality index of a key component is found, the server will immediately adjust its thermal value and reflect it in the heat map, while sending an alarm notification to relevant personnel.

[0195] In this way, the label vectors are updated emphatically in the first quality control heat map to construct the network members of key building components, which not only improves the information density and readability of the heat map, but also enhances the real-time and accuracy of project management.

[0196] In another possible implementation, step S130 may further include:

[0197] Step S135, obtaining a second building information model according to the model loading instruction on the BIM quality assessment platform, wherein the second building information model represents a plurality of third building components constructed in the second stage of the building, and the second stage is located before the first stage.

[0198] Step S136: selecting a plurality of fourth building components from the plurality of second building components, wherein the fourth building components are second building components that are newer than the plurality of third building components.

[0199] Step S137: construct the first quality control heat map, and construct a first update label vector for the plurality of fourth building components on the first quality control heat map, wherein the first update label vector indicates that the fourth building components are updated compared with the third building components.

[0200] In this embodiment, the server receives a model loading instruction on the BIM quality assessment platform, and the model loading instruction explicitly requires loading the second-stage building information model. The server first parses the model loading instruction to confirm that the second-stage building information model needs to be loaded. The model loading instruction may include information such as a unique identifier, storage location, or access path of the model.

[0201] According to the information provided by the model loading instruction, the server accesses a pre-configured database or file storage system to retrieve and download a second building information model, which represents detailed information of a plurality of third building components constructed in the second phase of the building. The server loads the downloaded second building information model into a memory for subsequent processing and analysis.

[0202] After loading the second building information model, the server needs to compare the second building information model with the first building information model of the first phase to determine which components are updated in the second phase.

[0203] For example, first extract all component information from the first building information model and the second building information model, including the component ID, name, type, location, size, material and other attributes. Through algorithms or database queries, the server compares the component information in the two building information models to find out the components with differences. These differences may include the addition, deletion or modification of the attributes of the components (such as size changes, material replacement, etc.). From the components with differences, the server selects those components that have actually been updated in the second stage, that is, the fourth building components. These fourth building components may be newly added components, or they may be original components with significant changes in attributes.

[0204] After determining the updated fourth building component, the server begins to build or update the first quality control heat map to reflect these changes.

[0205] In detail, if this is the first time to build a heat map, the server will initialize an empty heat map frame according to the building information model of the first stage, and set the corresponding network member attributes (such as color, size, label, etc.) to represent different quality control levels. If the heat map already exists, the server will update the heat map according to the updated fourth building component information, which may include adding new network members, modifying the attributes of existing network members (such as position, size, thermal value, etc.), or deleting network members corresponding to components that no longer exist. For each fourth building component, the server constructs a first update label vector on its corresponding network member, and the first update label vector contains the update information of the component, such as the update type (new, deleted, modified), update content (such as the specific value of the size change, detailed information of the material replacement, etc.) and the update timestamp. The vector is displayed on the heat map in a graphical or textual form so that users can quickly identify the update status of the component.

[0206] When the server is updating the heat map, it may provide real-time feedback on the progress and results of the update to the user. For example, a loading bar or progress percentage and a preview of the updated heat map may be displayed on the user interface. When the update is complete, the server will send a completion notification to the user and allow the user to view and interact with the updated heat map.

[0207] Through the above steps, the first quality control heat map was constructed based on multiple second building components, and the update of the second-stage building information model was processed, which provided users with an intuitive and real-time quality control view, helping to promptly discover and solve quality problems during the construction process.

[0208] In a possible implementation, step S136 includes:

[0209] The fourth building components that are expanded compared to the third building components are selected from the second building components, or the fourth building components that have improved target component quality control indicators compared to the third building components are selected from the second building components.

[0210] In this embodiment, at different construction stages of the building, as the project progresses, new building components are added to the model. When comparing the second building information model of the second stage with the third building information model of the first stage, the server identifies these newly added components, namely, the fourth building components that are expanded compared to the third building components.

[0211] For example, suppose a high-rise building is being constructed in multiple phases. In the first phase, the basement and foundation structure are completed, and the model includes components such as basement walls, columns, and floors (i.e., third building components). After entering the second phase, the main structure, such as floor slabs, beams, and exterior walls of the floors (i.e., second building components), begins construction.

[0212] The server performs the following steps to select the fourth building component of the extension:

[0213] First, the third building information model of phase 1 and the second building information model of phase 2 are loaded. Then, the server compares the component lists in the two models.

[0214] Through comparison, the server discovered that some new components were added to the second-phase model that were not included in the first-phase model, such as the floor slab of a certain floor, stairs connecting floors, etc. These new components are the fourth building components that are expanded compared to the third building components.

[0215] Then, these newly added components are selected and marked as the fourth building component in the internal data structure. At the same time, for the convenience of subsequent processing, the server also records the basic information of these components (such as name, type, location, etc.) and their relationship with adjacent components.

[0216] When building or updating the quality control heat map, the server will add these newly added fourth building components to the heat map as new network members and assign corresponding heat values ​​according to their target component quality control indicators.

[0217] During the construction process, existing components are sometimes improved or optimized to improve their quality control indicators. When the server compares the models of the two stages, it also identifies these components with improved quality control indicators.

[0218] Continuing with the high-rise building example above, after the first phase was completed, quality inspection revealed that the concrete strength of some columns did not meet the design requirements. Therefore, during the second phase of construction, these columns were reinforced to increase the strength grade of the concrete.

[0219] The server performs the following steps to select a fourth building component having an improved quality control indicator:

[0220] After loading the two-stage models, for each component that already exists in the first stage (i.e., the third building component), the server will look up its corresponding component in the second-stage model and compare their properties.

[0221] During the comparison process, the server pays special attention to those components whose quality control indicators have changed significantly. Taking the above-mentioned columns as an example, the server will find that their concrete strength grade has been improved in the second stage. These components with improved quality control indicators are the fourth building components to be found.

[0222] The server selects these components and re-evaluates their target component quality control indicators. Based on the new quality control indicator values, the server may adjust the heat values ​​of these components in the quality control heat map.

[0223] When updating the heat map, the server will adjust the heat values ​​of these components accordingly to reflect the improvement of their quality control indicators. At the same time, the server may also highlight these components in the heat map with special marks or colors for users to quickly identify them.

[0224] Through the above two steps, a fourth building component having an improved extension or quality control index compared with the third building component can be accurately selected from a plurality of second building components, and accurate data support can be provided for subsequent quality control heat map construction or update.

[0225] In a possible implementation, after constructing the first quality control thermogram, the method further includes:

[0226] Step A110, according to the network member screening instruction on the BIM quality assessment platform and according to the target network member attribute corresponding to the network member screening instruction, a plurality of fifth building components including the target network member attribute are screened out from the plurality of second building components.

[0227] In this embodiment, in a high-rise office building construction project, after the first phase of construction is completed, the server has constructed a first quality control heat map based on the second building component. Subsequently, the project manager wants to further analyze the quality of a specific type of component, such as all columns using high-performance concrete.

[0228] For example, the project manager enters a filtering instruction on the BIM quality assessment platform and specifies that the target network member attribute is "high-performance concrete". After receiving the filtering instruction, the server traverses all network members (i.e., the second building components) in the first quality control heat map and checks the attribute information of each component. The server finds all columns marked as using "high-performance concrete" through database query or memory data structure search. The server filters out all matched columns as fifth building components, which have a common target network member attribute - using high-performance concrete. The server is ready to build a second quality control heat map based on these filtered fifth building components.

[0229] Step A120, according to the network member screening instruction on the BIM quality assessment platform and according to the target network member name corresponding to the network member screening instruction, screening out a plurality of fifth building components including the target network member name from the plurality of second building components.

[0230] In this embodiment, in a large shopping mall construction project, in order to quickly locate key components with specific names, such as "main entrance steel structure truss", the project team needs to filter based on the names.

[0231] The project members enter the filtering instruction on the BIM quality assessment platform and specify the target network member as "main entrance steel structure truss". The server traverses all network members in the first quality control heat map and performs a matching check on the name of each component. The server uses a string matching algorithm to find all components named "main entrance steel structure truss". Then, all matched components are filtered out as fifth building components, which have a common target network member name. The server is ready to build a new quality control heat map based on these filtered fifth building components.

[0232] Step A130, according to the network member screening instruction on the BIM quality assessment platform and according to the first network member scale corresponding to the network member screening instruction, a plurality of fifth building components are determined from the plurality of second building components, and the target component quality control index of the plurality of fifth building components is greater than that of the remaining second building components.

[0233] Step A140: construct a second quality control thermodynamic map based on the plurality of fifth building components, wherein each network member in the second quality control thermodynamic map represents a fifth building component, and network members of different component categories have different quality control thermodynamic values.

[0234] In a bridge construction project, in order to focus on the top N components with the highest quality control indicators, the project team hopes to screen out a certain scale of components for analysis based on the quality control indicators.

[0235] The project members enter a screening instruction on the BIM quality assessment platform, specifying the size of the first network member as N (for example, N=10). The server sorts all the second building components in descending order according to the thermal values ​​(i.e., quality control indicators) in the first quality control heat map. The server selects the first N components from the sorted list as the fifth building components, and the target component quality control indicators of these components are higher than the remaining components in the list. The server obtains a set of N components with the highest quality control indicators as the fifth building components. The server is ready to build a new quality control heat map based on these N components.

[0236] Finally, the server initializes the second quality control heat map based on the selected fifth building components. A corresponding network member is created for each fifth building component. The server sets the heat value of each fifth building component in the second quality control heat map according to the target component quality control index. Network members of different component categories may have different colors, sizes, or other visual attributes to distinguish their quality control importance. The server displays the constructed second quality control heat map on the BIM quality assessment platform for further analysis and discussion by the project team. Through the second heat map, the team can quickly locate components with specific attributes, naming, or high quality standards, so as to more effectively carry out quality control and decision support.

[0237] In a possible implementation, the method further includes:

[0238] Step B110, according to the relevance mining instruction for the target building component on the BIM quality assessment platform, one or more sixth building components are selected from the multiple first building components, and the sixth building component is a first building component having a connected knowledge feature with the target building component.

[0239] Step B120: construct a first connected knowledge structure based on the one or more sixth building components, wherein each network member in the first connected knowledge structure represents a sixth building component, and the connected knowledge features between the sixth building components are represented by directed lines.

[0240] In this embodiment, in a large hospital construction project, the project team needs to have a deep understanding of the relationship between a specific target building component (such as the core equipment support structure of the operating room) and other components to ensure the rationality of the design and the smoothness of the construction. After the server receives the relevance mining instruction on the BIM quality assessment platform, it will perform the following steps to mine the associated components of the target component and build a connected knowledge structure.

[0241] The project engineer selected the core equipment support structure of the operating room as the target building component on the BIM quality assessment platform and issued a relevance mining instruction. The relevance mining instruction clearly pointed out the identification or name of the target component. After receiving the relevance mining instruction, the server parsed the identification information of the target component and prepared for subsequent relevance mining.

[0242] Next, the server traverses all components in the first building information model according to the identification of the target component, and searches for other components that have connectivity knowledge features with the target component. These connectivity knowledge features may include physical connections (such as connections through pipes and cables), functional dependencies (such as a system that relies on the support or energy provided by the target component), spatial proximity, etc.

[0243] The server first identifies components that are directly physically connected to the target component, such as pipes and cable trays. Next, the server analyzes functional dependencies to find other system components that rely on the target component for support or energy, such as medical equipment and ventilation systems in operating rooms. Finally, the server also considers spatially adjacent components that may not be directly connected but require coordination during construction, such as partitions and ceilings in adjacent rooms. After screening, the server identified a set of sixth building components that have connectivity knowledge features with the target component.

[0244] On this basis, the server starts to construct a first connected knowledge structure according to the selected sixth building component, and the first connected knowledge structure will intuitively display the connected relationship between the target component and the associated components.

[0245] The server creates a network member for each sixth building component and locates it in the structure. For each pair of sixth building components that are connected, the server draws a directed line in the structure to indicate the direction of the connection between them. For example, if component A provides energy to component B, the energy supply relationship will be marked on the line from component A to component B. On each line, the server can also add a brief description of the connected knowledge features so that users can quickly understand the relationship between components. In order to improve the readability of the structure, the server may also need to optimize the layout of network members and directed lines to reduce intersections and overlaps.

[0246] After the first connected knowledge structure is constructed, it is displayed on the BIM quality assessment platform. Through this structure, the project team can clearly see the complex relationship between the target component and other components, so as to make more reasonable design and construction decisions.

[0247] Through this process, not only can the project team explore the associated components of the target component, but also an intuitive view of the associated relationship is provided by building a connected knowledge structure, which greatly improves the efficiency of project management and decision-making.

[0248] In a possible implementation, after constructing the first connected knowledge structure, the method further includes:

[0249] Step C110, according to the connectivity knowledge feature screening instruction on the BIM quality assessment platform and according to the screening feature vector corresponding to the connectivity knowledge feature screening instruction, screening out a plurality of seventh building components corresponding to the screening feature vector from the plurality of sixth building components.

[0250] Step C120: construct a second connected knowledge structure based on the one or more seventh building components, wherein each network member in the second connected knowledge structure represents a seventh building component, and the connected knowledge features between the seventh building components are represented by directed lines.

[0251] In this embodiment, after completing the construction of the first connected knowledge structure, the project team may want to further narrow the scope of attention and focus on a set of components with specific connected knowledge characteristics. For example, in a large hospital construction project, the team may want to pay special attention to components directly related to the operating room ventilation system for more in-depth analysis and optimization.

[0252] First, the project engineer enters the connectivity knowledge feature screening instruction on the BIM quality assessment platform. The connectivity knowledge feature screening instruction contains a screening feature vector, which defines the connectivity knowledge features that the team hopes to screen out, such as "directly connected to the operating room ventilation system". After receiving the connectivity knowledge feature screening instruction, the server parses the screening feature vector and prepares to screen out qualified components from the first connectivity knowledge structure based on these features.

[0253] Next, the server traverses all sixth building components in the first connected knowledge structure to check whether they meet the conditions defined in the screening feature vector.

[0254] For each sixth building component, the server checks the connectivity knowledge features between it and other components. If the connectivity knowledge features of a component match the screening feature vector (for example, the component has a direct connection with the operating room ventilation system), the server marks it as a candidate seventh building component. The server continues this process until all eligible seventh building components are screened out. After screening, the server obtains a set of seventh building components that match the screening feature vector.

[0255] Then, based on the screened seventh building components, the server constructs a second connected knowledge structure, which will focus on showing the connected relationships between these specific components. Thus, a corresponding network member can be created in the second connected knowledge structure for each seventh building component. The connected knowledge features between the seventh building components are analyzed, and directed lines are drawn in the structure to indicate the direction of their association. For example, if component A transports gas to component B through a pipeline, a line is drawn in the structure from component A to component B. To enhance readability, the server can also add a brief description of the connected knowledge features on the line. Depending on the number of seventh building components and the complex relationships between them, the server may need to adjust the layout of network members and the direction of directed lines to reduce intersections and overlaps and improve the clarity of the structure.

[0256] Therefore, a second connected knowledge structure was constructed and displayed on the BIM quality assessment platform. The second connected knowledge structure provides the project team with an intuitive view of a set of specific connected knowledge feature components, helping them to have a deeper understanding of the relationships between these components and make corresponding optimization decisions.

[0257] In a possible implementation, step C110 includes:

[0258] Step C110, according to the connectivity knowledge feature screening instruction on the BIM quality assessment platform, according to the target connectivity strength parameter corresponding to the connectivity knowledge feature screening instruction, determining one or more seventh building components at the target connectivity strength parameter of the target building component from the plurality of sixth building components.

[0259] Step C120, according to the connectivity knowledge feature screening instruction on the BIM quality assessment platform, according to the target connectivity breadth parameter corresponding to the connectivity knowledge feature screening instruction, determining one or more seventh building components at the target connectivity breadth parameter of the target storage network member from the plurality of sixth building components.

[0260] Step C130, according to the connectivity knowledge feature screening instruction on the BIM quality assessment platform, according to the target connectivity knowledge link sequence number corresponding to the connectivity knowledge feature screening instruction, determining one or more seventh building components on the target scale connectivity knowledge feature chain of the target building component from the plurality of sixth building components, wherein the target scale is equal to the target connectivity knowledge link sequence number.

[0261] Step C140, according to the connectivity knowledge feature screening instruction on the BIM quality assessment platform, according to the second network member scale corresponding to the connectivity knowledge feature screening instruction, determining one or more seventh building components from the plurality of sixth building components, wherein the target component quality control index of the one or more seventh building components is greater than that of the remaining sixth building components.

[0262] Step C150: According to the connected knowledge feature screening instruction on the BIM quality assessment platform, multiple sixth building components whose component label information is used as basic building components are removed from the multiple sixth building components to generate one or more seventh building components.

[0263] For example, in the BIM quality assessment process of a large complex, the project team needs to conduct an in-depth analysis of specific building components. Through the BIM quality assessment platform, the team can issue a connected knowledge feature screening instruction to screen out the seventh building component that meets specific conditions from multiple sixth building components based on multiple parameters.

[0264] For example, the project team wants to find components with high-strength connectivity to target building components, such as primary structural columns, in order to assess their critical role in structural stability.

[0265] The server receives the connection knowledge feature screening instruction and parses the target connection strength parameter (such as the threshold of the connection force). It traverses all the sixth building components in the first connection knowledge structure and calculates the connection strength between them and the target building component (such as the number of physical connections, area or magnitude of the force transmitted). According to the connection strength parameter, the components whose connection strength with the target building component exceeds the set threshold are screened as the seventh building component.

[0266] Furthermore, the project team hopes to identify components that are directly or indirectly connected to the target building components and have extensive connection paths to assess the scope of their impact on the entire system.

[0267] The server can parse the target connectivity breadth parameter (such as the maximum number of connectivity paths) in the connectivity knowledge feature screening instruction. Use a graph traversal algorithm (such as depth-first search or breadth-first search) to search for all reachable sixth building components starting from the target building component, and record each connectivity path. According to the connectivity breadth parameter, select those components with more than the set number of paths as the seventh building component.

[0268] Furthermore, the project team needs to find components that are connected to the target building component through a specific number of link sequences to analyze the impact of a specific level or distance.

[0269] The server parses the target connected knowledge link sequence number in the connected knowledge feature screening instruction. Use a graph algorithm to calculate all the sixth building components that can be reached from the target building component through a specified link sequence number (such as two steps or three steps). These components are used as the seventh building component.

[0270] Furthermore, the project team hopes to select the top N components with the best quality control indicators from the sixth building component for further evaluation or optimization.

[0271] The server parses the second network member size N in the connected knowledge feature screening instruction. All sixth building components are sorted according to the thermal values ​​(i.e., quality control indicators) in the first quality control thermal map. The components with the highest quality control indicators before N after sorting are selected as the seventh building components.

[0272] In some cases, the team may want to exclude the interference of basic building components (such as load-bearing walls and core columns) from the analysis results in order to focus more on the analysis of non-foundation components.

[0273] The server traverses all sixth building components and checks their component tag information. The components whose tag information is basic building components are identified and removed from the candidate list. The remaining non-basic components are the seventh building components.

[0274] Through the above steps, according to the connected knowledge feature screening instructions on the BIM quality assessment platform, the seventh building component that meets the team's needs can be accurately screened out from multiple sixth building components based on multiple parameters. These components will be used for further analysis, optimization or decision support.

[0275] Figure 2 The BIM-based building quality inspection system 100 shown includes: a processor 1001 and a memory 1003. The processor 1001 and the memory 1003 are connected, such as through a bus 1002. Optionally, the BIM-based building quality inspection system 100 may also include a transceiver 1004, which can be used for data interaction between the server and other servers, such as data transmission and / or data reception. It should be noted that the transceiver 1004 is not limited to one in actual scheduling, and the structure of the BIM-based building quality inspection system 100 does not constitute a limitation on the embodiments of the present application.

[0276] Processor 1001 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. Processor 1001 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0277] The bus 1002 may include a path to transmit information between the above components. The bus 1002 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 1002 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 2Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0278] The memory 1003 can be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disc, optical disk, digital versatile disc, Blu-ray disc, etc.), magnetic disk storage medium, other magnetic storage devices, or any other medium that can be used to carry or store program code and can be read by a computer, without limitation herein.

[0279] The memory 1003 is used to store program codes for executing the embodiments of the present application, and the execution is controlled by the processor 1001. The processor 1001 is used to execute the program codes stored in the memory 1003 to implement the steps shown in the above method embodiments.

[0280] An embodiment of the present application provides a computer-readable storage medium having program code stored thereon. When the program code is executed by a processor, the steps and corresponding contents of the aforementioned method embodiment can be implemented.

[0281] It should be understood that, although each operation step is characterized by directed lines in the flow chart of the embodiment of the present application, the implementation order of these steps is not limited to the order covered by the directed lines. Unless there is clear explanation in this article, in some implementation scenarios of the embodiment of the present application, the implementation steps in each flow chart can be performed in other orders based on demand. In addition, some or all of the steps in each flow chart may include multiple sub-steps or multiple stages according to actual implementation scenarios, and some or all of these sub-steps or stages may be performed in the same stage, and each sub-step or stage in these sub-steps or stages may also be performed in different stages respectively. Under different scenarios in the execution stage, the execution order of these sub-steps or stages can be flexibly configured based on demand, and the embodiment of the present application does not limit this.

[0282] The above is only an optional implementation method for some implementation scenarios of the present application. It should be pointed out that for ordinary technicians in this technical field, without departing from the technical concept of the scheme of the present application, other similar implementation methods based on the technical ideas of the present application are also within the protection scope of the embodiments of the present application.

Claims

1. A building quality detection method based on BIM, characterized in that: The method comprises: According to a model loading instruction on the BIM quality assessment platform, a first building information model is obtained, wherein the first building information model represents a plurality of first building components constructed in the first phase of the building; selecting a plurality of second building components from the plurality of first building components based on target component quality control indicators of the plurality of first building components covered by the first building information model, the target component quality control indicators representing quality control indicators called during the construction process when the model is applied, the target component quality control indicators of the plurality of second building components being greater than the remaining first building components; A first quality control thermodynamic map is constructed based on the plurality of second building components, wherein each network member in the first quality control thermodynamic map represents a second building component, a member parameter of each network member represents an index parameter of a target component quality control index of the second building component corresponding to the network member, and network members of different component categories have different quality control thermodynamic values; Performing building quality inspection on any target building information model based on the first quality control heat map; The step of performing building quality inspection on any target building information model based on the first quality control heat map comprises: Loading a target building information model on the BIM quality assessment platform; Aligning the first quality control heat map with the target building information model so that network members in the first quality control heat map correspond to specific building components in the target building information model; Mapping the quality control indicators and thermal values ​​in the first quality control thermodynamic map to the corresponding building components of the target building information model, wherein if the target building information model is changed during the quality inspection process, the first quality control thermodynamic map is updated in real time; Extracting quality control indicators of each building component from the target building information model, wherein the quality control indicators include size control indicators, material control indicators, strength control indicators, and durability control indicators; The quality control index and the thermal value in the first quality control thermodynamic map are used to perform a quality assessment on each building component in the target building information model, specifically by comparing the quality control index of the building component with the corresponding quality control index in the first quality control thermodynamic map; if the quality control index value of the building component is lower than the corresponding quality control index value in the first quality control thermodynamic map, the building component is determined to be a problematic building component, and the problematic building component is located in the target building information model.

2. The BIM-based building quality detection method according to claim 1 is characterized in that: The step of constructing a first quality control thermal map based on the plurality of second building components comprises: Acquire component label information of each second building component from the first building information model, wherein the component label information represents a component category of the second building component; If the component label information of any one of the second building components is a basic building component, the component category of the second building component is a load-bearing component; If the component label information of any of the second building components is a non-basic building component, then obtaining the design source information of the second building component, if the design source information is an original design drawing, then the component category of the second building component is a key building component, if the design source information is a non-original design drawing, then the component category of the second building component is a conventional building component; Each network member in the first quality control heat map is constructed according to the target component quality control index and component category of each second building component.

3. The BIM-based building quality detection method according to claim 2 is characterized in that: The construction of each network member in the first quality control heat map includes: In the first quality control heat map, the label vectors are updated with emphasis on building component categories of network members that are key building components.

4. The BIM-based building quality detection method according to claim 1, characterized in that: The step of constructing a first quality control thermal map based on the plurality of second building components comprises: According to the model loading instruction on the BIM quality assessment platform, a second building information model is obtained, wherein the second building information model represents a plurality of third building components constructed in a second stage of the building, and the second stage is located before the first stage; selecting a plurality of fourth building components from the plurality of second building components, the fourth building components being second building components that are newer than the plurality of third building components; The first quality control heat map is constructed, and first updated label vectors for the plurality of fourth building components are constructed on the first quality control heat map, wherein the first updated label vectors represent that the fourth building components are updated compared with the third building components.

5. The BIM-based building quality detection method according to claim 4 is characterized in that: The step of selecting a plurality of fourth building components from the plurality of second building components comprises: selecting from said second plurality of building elements said fourth plurality of building elements being extended compared to said third plurality of building elements; or The plurality of fourth building components having improved target component quality control indicators compared to the plurality of third building components are selected from the plurality of second building components.

6. The BIM-based building quality detection method according to any one of claims 1 to 5, characterized in that: After constructing the first quality control thermogram, the method further includes: According to the network member screening instruction on the BIM quality assessment platform, according to the target network member attribute corresponding to the network member screening instruction, screening out a plurality of fifth building components including the target network member attribute from the plurality of second building components; or According to the network member screening instruction on the BIM quality assessment platform, according to the target network member name corresponding to the network member screening instruction, screening out a plurality of fifth building components including the target network member name from the plurality of second building components; or According to the network member screening instruction on the BIM quality assessment platform and according to the first network member scale corresponding to the network member screening instruction, a plurality of fifth building components are determined from the plurality of second building components, and the target component quality control index of the plurality of fifth building components is greater than that of the remaining second building components; A second quality control thermodynamic map is constructed based on the plurality of fifth building components, wherein each network member in the second quality control thermodynamic map represents a fifth building component, and network members of different component categories have different quality control thermodynamic values.

7. The BIM-based building quality detection method according to any one of claims 1 to 5, characterized in that: The method further comprises: According to the relevance mining instruction for the target building component on the BIM quality assessment platform, one or more sixth building components are selected from the plurality of first building components, wherein the sixth building component is a first building component having a connected knowledge feature with the target building component; A first connected knowledge structure is constructed based on the one or more sixth building components, wherein each network member in the first connected knowledge structure represents a sixth building component, and the connected knowledge features between the sixth building components are represented by directed lines.

8. The BIM-based building quality detection method according to claim 7 is characterized in that: After constructing the first connected knowledge structure, the method further includes: According to the connected knowledge feature screening instruction on the BIM quality assessment platform, according to the screening feature vector corresponding to the connected knowledge feature screening instruction, screening out a plurality of seventh building components corresponding to the screening feature vector from the plurality of sixth building components; A second connected knowledge structure is constructed based on the one or more seventh building components, wherein each network member in the second connected knowledge structure represents a seventh building component, and the connected knowledge features between the seventh building components are represented by directed lines.

9. The BIM-based building quality detection method according to claim 8, characterized in that: The method of selecting, according to the connectivity knowledge feature screening instruction on the BIM quality assessment platform and according to the screening feature vector corresponding to the connectivity knowledge feature screening instruction, selecting, from the plurality of sixth building components, a plurality of seventh building components corresponding to the screening feature vector, comprises: According to the connectivity knowledge feature screening instruction on the BIM quality assessment platform, and according to the target connectivity strength parameter corresponding to the connectivity knowledge feature screening instruction, determining one or more seventh building components at the target connectivity strength parameter of the target building component from the plurality of sixth building components; According to the connectivity knowledge feature screening instruction on the BIM quality assessment platform, and according to the target connectivity breadth parameter corresponding to the connectivity knowledge feature screening instruction, determining one or more seventh building components at the target connectivity breadth parameter of the target storage network member from the plurality of sixth building components; According to the connected knowledge feature screening instruction on the BIM quality assessment platform, and according to the target connected knowledge link sequence number corresponding to the connected knowledge feature screening instruction, determining one or more seventh building components on the target scale connected knowledge feature chain of the target building component from the plurality of sixth building components, wherein the target scale is equal to the target connected knowledge link sequence number; According to the connectivity knowledge feature screening instruction on the BIM quality assessment platform, and according to the second network member scale corresponding to the connectivity knowledge feature screening instruction, one or more seventh building components are determined from the plurality of sixth building components, and the target component quality control index of the one or more seventh building components is greater than that of the remaining sixth building components; According to the connected knowledge feature screening instruction on the BIM quality assessment platform, multiple sixth building components whose component label information is used as the basic building components are removed from the multiple sixth building components to generate one or more seventh building components.

10. A BIM-based building quality inspection system, characterized in that: It includes a processor and a computer-readable storage medium, wherein the computer-readable storage medium stores machine-executable instructions, and when the machine-executable instructions are executed by the processor, the BIM-based building quality detection method described in any one of claims 1 to 9 is implemented.

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