CN116976744A - BIM-based quality selective examination method, system, equipment and medium - Google Patents

BIM-based quality selective examination method, system, equipment and medium Download PDF

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CN116976744A
CN116976744A CN202311006744.XA CN202311006744A CN116976744A CN 116976744 A CN116976744 A CN 116976744A CN 202311006744 A CN202311006744 A CN 202311006744A CN 116976744 A CN116976744 A CN 116976744A
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许健明
蔡琪锐
时方力
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Southwest Design And Research Institute Of Civil Aviation Airport Construction Group Co ltd
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Southwest Design And Research Institute Of Civil Aviation Airport Construction Group Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/08Construction
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

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Abstract

The application discloses a BIM-based quality sampling inspection method, a BIM-based quality sampling inspection system, BIM-based quality sampling inspection equipment and BIM-based quality sampling inspection media, which mainly comprise the steps that a plug-in end identifies a BIM model and an axis network, the area of each layer is divided according to the axis network, and acceptance tables needing acceptance inspection are associated; a first random sampling operation is performed. And reasonably dividing the construction area by using information such as component information, floor information, component classification information, shaft network and the like in the BIM, randomly sampling all the divided areas, and ensuring the accuracy and randomness of sampling results. And based on BIM quality inspection acceptance, a better visual effect is achieved. By utilizing the fact that BIM component entities exist in three dimensions, electronic random sampling is achieved. And (5) utilizing a shaft net to divide a construction acceptance area. The whole process from the initiation to the end of the quality inspection and acceptance form realizes paperless.

Description

BIM-based quality selective examination method, system, equipment and medium
Technical Field
The application relates to the technical field of BIM models, in particular to a BIM-based quality sampling inspection method, a BIM-based quality sampling inspection system, BIM-based quality sampling inspection equipment and BIM-based quality sampling inspection medium.
Background
BIM is short for building information model, is a full life cycle informatization management technique of building. In recent years, rapid development of BIM (Building Information Modeling, building information model) technology has promoted a revolution of the industry-wide industry chain. The national housing and urban and rural construction department continuously release guiding files and policies, so that the integrated application of BIM technology in the fields of planning, design, construction, operation and maintenance and the like is greatly promoted, and the informationized management of the whole life cycle of engineering construction projects is promoted.
The quality acceptance of construction includes: basic regulation of construction quality inspection of building engineering, mandatory regulations for implementation of inspection, quality management inspection of construction site, quality inspection division, inspection procedure and organization, use of inspection tables, engineering quality control data, safety and function inspection data, and specific inspection methods related to inspection lot, sub-project and unit project.
However, the paperless office system on the market at present cannot randomly sample and visualize the quality inspection acceptance; the quality inspection acceptance system can not randomly sample and visualize based on the BIM model, and only quality inspection management is achieved; the BIM management platform can not control the whole quality inspection process and randomly sample, and only can realize visualization.
Disclosure of Invention
The application aims to provide a BIM-based quality sampling inspection method, a BIM-based quality sampling inspection system, BIM-based quality sampling inspection equipment and BIM-based quality sampling inspection medium, which solve the problem that construction quality inspection in the prior art cannot be completely and reliably sampled randomly.
The embodiment of the application is realized by the following technical scheme:
in a first aspect, the present application provides a BIM-based quality sampling inspection method, including;
the plug-in end identifies a BIM model and a shaft network, and the BIM model is subjected to light weight treatment;
dividing the area of each layer according to an axial network;
transmitting to a PC end, selecting an area to be sampled, and associating an acceptance table to be accepted;
performing a first random sampling operation to display sampling setting information;
obtaining sampling results and determining all component parts needing sampling quality inspection;
and determining the checking time, checking and confirming the checking time.
In one embodiment of the present application, further comprising;
filling a check list, and inputting quality inspection process data of the component parts into a mobile phone end;
recording a deviation value of each component;
submitting data for approval to obtain an approval result;
when the approval result is passed, confirming the approval result, inputting approval comments and submitting for filing;
and if the approval result is that the sample does not pass, performing second random sampling.
In one embodiment of the application, said performing a second random sampling includes;
entering unqualified reasons;
carrying out random sampling operation for the second time, and displaying sampling setting information;
obtaining sampling results and determining all component parts needing sampling quality inspection;
determining inspection time, performing inspection, and confirming the inspection time;
and recording the quality inspection process data of the component part into the mobile phone terminal again.
In an embodiment of the present application, the performing the random sampling operation for the second time further includes;
the second randomly sampled component does not include the first randomly sampled qualified component;
the first sampling failed component is inspected.
In an embodiment of the application, the percentage of the second random samples is greater than the percentage of the first random samples.
In one embodiment of the present application, further comprising;
the plug-in end identifies a BIM model and a shaft network, and the BIM model is subjected to light weight treatment;
randomly sampling all the building blocks in each region;
performing a first random sampling operation to display sampling setting information;
obtaining sampling results and determining all component parts needing sampling quality inspection;
and determining the checking time, checking and confirming the checking time.
In a second aspect, the present application also provides a BIM-based quality sampling inspection system, including;
the BIM model identification module is configured to identify a BIM model and a shaft network at a plug-in end and process the BIM model in a light weight manner;
the area dividing module is configured to divide the area of each layer according to an axis network;
the selection module is configured to transmit to the PC end and select the area needing to be sampled, and associates the acceptance table needing to be accepted;
the random sampling module is configured to perform a first random sampling operation and display sampling setting information;
the result output module is configured to obtain sampling results and determine all component parts needing sampling quality inspection;
and the time confirming module is configured to determine the checking time, check and confirm the checking time.
In a third aspect, the present application further provides an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements a BIM-based quality sampling inspection method as described above when executing the computer program.
In a fourth aspect, the present application further provides a computer readable storage medium, where a computer program is stored, where the computer program, when executed by a processor, implements a method for performing BIM-based quality sampling.
The technical scheme of the embodiment of the application has at least the following advantages and beneficial effects:
1. the method provided by the application mainly comprises the steps that a plug-in end identifies a BIM model and an axis network, the area of each layer is divided according to the axis network, and acceptance tables needing acceptance are associated; a first random sampling operation is performed. And reasonably dividing the construction area by using information such as component information, floor information, component classification information, shaft network and the like in the BIM, randomly sampling all the divided areas, and ensuring the accuracy and randomness of sampling results. And based on BIM quality inspection acceptance, a better visual effect is achieved. By utilizing the fact that BIM component entities exist in three dimensions, electronic random sampling is achieved. And (5) utilizing a shaft net to divide a construction acceptance area. The whole process from the initiation to the end of the quality inspection and acceptance form realizes paperless.
2. The quality inspection acceptance form is in a universal unified form style, the content to be inspected, the inspection logic, the input of inspection results, the requirement for judging whether the inspection results are qualified, the approval process and the like are normalized business processes, and after the data of the actual inspection results are input in the system, all other information is as follows: if the information is qualified, the qualification rate is judged, the sampling position is acquired, the information such as component information positioning, electronic signature and the like can be automatically generated without manual input, the workload of on-site quality inspection work is greatly reduced, the workload of a data staff is reduced, the time required by collaborative work and signature approval is reduced, and the work efficiency of quality inspection and acceptance work is greatly increased.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of the method of the present application;
fig. 2 is a flow chart of an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. The naming or numbering of the steps in the present application does not mean that the steps in the method flow must be executed according to the time/logic sequence indicated by the naming or numbering, and the execution sequence of the steps in the flow that are named or numbered may be changed according to the technical purpose to be achieved, so long as the same or similar technical effects can be achieved.
The division of the modules in the present application is a logical division, and there may be other manners of division in practical implementation, for example, multiple modules may be combined or integrated in another system, or some features may be omitted or not performed.
The modules or sub-modules described separately may or may not be physically separate, may or may not be implemented in software, and may be implemented in part in software, where the processor invokes the software to implement the functions of the part of the modules or sub-modules, and where other parts of the templates or sub-modules are implemented in hardware, for example in hardware circuits. In addition, some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the application.
Referring to fig. 1-2, the present application provides a quality sampling inspection method based on BIM, including;
s101: the plug-in end identifies a BIM model and a shaft network, and the BIM model is subjected to light weight treatment;
the plug-in side refers in this embodiment to a plug-in or extension used in software or an application. They were developed to enhance the functionality of the original software and new functions, tools or effects may be added. The plug-in side is typically created by a third party developer and integrated into the main software in the form of a plug-in, which in this embodiment can be used to identify the BIM model and the shaft network for further operations.
The light weight processing of the BIM model mainly comprises the following steps of;
unnecessary details are removed, and unnecessary details in the model, such as small parts, fine geometry, and excess data, are identified and removed. This may help reduce the size of the model file;
geometry is optimized using a simplification algorithm and geometry optimization tool to simplify complex geometries, e.g., using fewer polygons or merging similar elements. Thus, the complexity of the model can be reduced, and the size of the model file can be reduced.
Level subdivision: for large BIM models, they can be divided into different levels, from a rough look to detailed construction details. Appropriate levels are loaded and displayed as needed to reduce the need for computer resources.
Deleting hidden elements: elements that are not visible in the item, such as elements hidden behind walls, ceilings or floors, are deleted or hidden. This may reduce the size of the model file and improve performance.
Using streaming media technology: the BIM model can be transmitted to the user side in a smaller file format by using a streaming media technology, and can be dynamically loaded and rendered when required. This can avoid loading the entire model at one time, reducing the need for computer resources.
S102: dividing the area of each layer according to an axial network;
among these, the BIM axis network is an organizational structure in a Building Information Model (BIM) for locating, aligning, and measuring building elements during building design and construction.
S103: transmitting to a PC end, selecting an area to be sampled, and associating an acceptance table to be accepted;
the quality inspection acceptance form is a universal unified form style, and the content to be inspected, the inspection logic, the input of inspection results, the requirement for judging whether the inspection is qualified, the approval process and the like are normalized business processes. After the data of the actual inspection result is input in the system, all other information is as follows: if the information is qualified, the qualification rate is judged, the sampling position is acquired, the information such as component information positioning, electronic signature and the like can be automatically generated without manual input, the workload of on-site quality inspection work is greatly reduced, the workload of a data staff is reduced, the time required by collaborative work and signature approval is reduced, and the work efficiency of quality inspection and acceptance work is greatly increased.
S104: performing a first random sampling operation to display sampling setting information;
s105: obtaining sampling results and determining all component parts needing sampling quality inspection;
s106: and determining the checking time, checking and confirming the checking time.
If there is a time error, it is necessary to perform the reject process at this step, return to step S105, reconfirm the component parts for which sampling quality inspection is necessary, and modify the inspection time determined at step S106.
After the BIM model is subjected to light weight treatment, the application of the BIM model on a mobile terminal is facilitated. And the BIM model can be used for carrying out the works of region division, random sampling of components, quality inspection and acceptance, and the BIM light-weight model is the basis of completely realizing the electronization and visualization of the service executed by the application.
The construction area is reasonably divided by using the information such as the component information, the floor information, the component classification information, the shaft network and the like in the BIM, all the divided areas are randomly sampled, and the accuracy and the randomness of the sampling result are ensured. According to the conditions of different types of components, the system sets random sampling proportion and minimum sampling value for the components such as wall beams, plates and columns, and sets relatively automatic area division according to an axis network, and finally forms the summary of all random sampling parts in the area.
The above steps are explained by way of an example:
converting the three-dimensional model into a BIM lightweight model, displaying the BIM lightweight model on a client and a mobile terminal, dividing the BIM lightweight model into areas according to floors and shaft networks automatically according to the lightweight three-dimensional model, selecting an acceptance form required to be subjected to quality acceptance, and randomly sampling BIM components in each area; acquiring the checked component and automatically counting the checked component into a check list, and automatically filling data related to the check list; the mobile terminal is used for positioning the components to be checked and accepted on site, and real data are filled; and the acceptance list enters an approval process flow.
In an exemplary embodiment of the present application, the detailed steps related to the mobile phone end further include;
s201: filling a check list, and inputting quality inspection process data of the component parts into a mobile phone end;
s202: recording a deviation value of each component;
s203: submitting data for approval to obtain an approval result;
s204: when the approval result is passed, confirming the approval result, inputting approval comments and submitting for filing;
s205: and if the approval result is that the sample does not pass, performing second random sampling.
More specifically, the performing a second random sampling includes; entering unqualified reasons; carrying out random sampling operation for the second time, and displaying sampling setting information; obtaining sampling results and determining all component parts needing sampling quality inspection; determining inspection time, performing inspection, and confirming the inspection time; and (3) recording the quality inspection process data of the component parts into the mobile phone terminal again, and continuing the step of S201.
In an embodiment of the present application, the performing the random sampling operation for the second time further includes;
the second randomly sampled component does not include the first randomly sampled qualified component; the first sampled failed component is inspected and, in addition, the second random sampling is greater in percentage than the first random sampling.
In another embodiment of the present application, further comprising; the plug-in end identifies a BIM model and a shaft network, and the BIM model is subjected to light weight treatment; randomly sampling all the building blocks in each region; performing a first random sampling operation to display sampling setting information; obtaining sampling results and determining all component parts needing sampling quality inspection; and determining the checking time, checking and confirming the checking time.
In a second aspect, the present application also provides a BIM-based quality sampling inspection system, including;
the BIM model identification module is configured to identify a BIM model and a shaft network at a plug-in end and process the BIM model in a light weight manner;
the area dividing module is configured to divide the area of each layer according to an axis network;
the selection module is configured to transmit to the PC end and select the area needing to be sampled, and associates the acceptance table needing to be accepted;
the random sampling module is configured to perform a first random sampling operation and display sampling setting information;
the result output module is configured to obtain sampling results and determine all component parts needing sampling quality inspection;
and the time confirming module is configured to determine the checking time, check and confirm the checking time.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. The computer software product is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of the various embodiments of the application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only memory (ROM), a random access memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above is only a preferred embodiment of the present application, and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims (9)

1. The BIM-based quality sampling inspection method is characterized by comprising the following steps of;
the plug-in end identifies a BIM model and a shaft network, and the BIM model is subjected to light weight treatment;
dividing the area of each layer according to an axial network;
transmitting to a PC end, selecting an area to be sampled, and associating an acceptance table to be accepted;
performing a first random sampling operation to display sampling setting information;
obtaining sampling results and determining all component parts needing sampling quality inspection;
and determining the checking time, checking and confirming the checking time.
2. The BIM-based quality sampling method of claim 1, further comprising;
filling a check list, and inputting quality inspection process data of the component parts into a mobile phone end;
recording a deviation value of each component;
submitting data for approval to obtain an approval result;
when the approval result is passed, confirming the approval result, inputting approval comments and submitting for filing;
and if the approval result is that the sample does not pass, performing second random sampling.
3. The BIM-based quality sampling method of claim 2, wherein said performing a second random sampling includes;
entering unqualified reasons;
carrying out random sampling operation for the second time, and displaying sampling setting information;
obtaining sampling results and determining all component parts needing sampling quality inspection;
determining inspection time, performing inspection, and confirming the inspection time;
and recording the quality inspection process data of the component part into the mobile phone terminal again.
4. The BIM-based quality sampling method of claim 2, wherein the performing the random sampling operation a second time further comprises;
the second randomly sampled component does not include the first randomly sampled qualified component;
the first sampling failed component is inspected.
5. The BIM-based quality sampling method of claim 2, wherein the percentage of the second random samples is greater than the percentage of the first random samples.
6. The BIM-based quality sampling method of claim 1, further comprising;
the plug-in end identifies a BIM model and a shaft network, and the BIM model is subjected to light weight treatment;
randomly sampling all the building blocks in each region;
performing a first random sampling operation to display sampling setting information;
obtaining sampling results and determining all component parts needing sampling quality inspection;
and determining the checking time, checking and confirming the checking time.
7. A BIM-based quality sampling inspection system, comprising;
the BIM model identification module is configured to identify a BIM model and a shaft network at a plug-in end and process the BIM model in a light weight manner;
the area dividing module is configured to divide the area of each layer according to an axis network;
the selection module is configured to transmit to the PC end and select the area needing to be sampled, and associates the acceptance table needing to be accepted;
the random sampling module is configured to perform a first random sampling operation and display sampling setting information;
the result output module is configured to obtain sampling results and determine all component parts needing sampling quality inspection;
and the time confirming module is configured to determine the checking time, check and confirm the checking time.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements a BIM-based quality sampling method according to any one of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, the computer program when executed by a processor implementing a BIM-based quality sampling method according to any one of claims 1 to 6.
CN202311006744.XA 2023-08-10 2023-08-10 BIM-based quality selective examination method, system, equipment and medium Pending CN116976744A (en)

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Application Number Priority Date Filing Date Title
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