A construction quality control system and method based on BIM model

Abstract

This application relates to a construction quality control system and method based on a BIM model. The system includes: a construction progress monitoring module for real-time monitoring of the construction progress of BIM model components to trigger the execution of construction quality control projects; a quality control point mapping module for generating a set of components to be inspected based on the construction quality control projects, and using a multi-level quality control mapping table to derive corresponding quality control points and their risk levels, wherein the risk levels of the quality control points have a dynamic adjustment mechanism; and a construction quality assessment module for performing a construction quality control assessment of the BIM model based on the set of components to be inspected, the quality control points, and their risk levels. This application achieves accurate and rapid location of quality control points and corresponding BIM components for construction quality control projects using a multi-level quality control mapping table, and the dynamic adjustment mechanism of the risk levels effectively improves the dynamic control capability of construction quality, thus solving the problem of how to improve the efficiency of construction quality control based on BIM models.

Description

Technical Field

[0001] This application relates to the field of construction quality control technology, and in particular to a construction quality control system and method based on a BIM model. Background Technology

[0002] In the context of construction quality control, BIM technology can be applied to the management and control of construction quality. Existing solutions generally combine BIM technology with the Work Breakdown Structure (WBS) for quality management and control. However, these existing solutions have many problems: such as the reliance of traditional BIM construction management systems on manual triggering of quality control points, the static and fixed risk levels of quality control points, and the loose mapping relationship between WBS and BIM model, which leads to inaccurate positioning of quality inspection work orders, etc.

[0003] Currently, no effective solution has been proposed for the problem of how to improve the efficiency of construction quality control based on BIM models in related technologies. Summary of the Invention

[0004] This application provides a construction quality control system and method based on a BIM model, which at least addresses the problem of how to improve the effectiveness of construction quality control based on a BIM model in related technologies.

[0005] In a first aspect, embodiments of this application provide a construction quality control system based on a BIM model, the system including a construction progress monitoring module, a quality control point mapping module, and a construction quality assessment module;

[0006] The construction progress monitoring module is used to monitor the construction progress of BIM model components in real time, and trigger the execution of construction quality control items of the BIM model according to the construction progress.

[0007] The quality control point mapping module is used to generate a set of components to be inspected based on the construction quality control items, and to use a multi-level quality control mapping table to obtain the quality control points and quality control point risk levels corresponding to the set of components to be inspected, wherein the quality control point risk levels have a dynamic adjustment mechanism.

[0008] The construction quality assessment module is used to perform construction quality control assessment of the BIM model based on the set of components to be inspected, the quality control points, and the risk level of the quality control points.

[0009] In some embodiments, the system includes a risk level adjustment module;

[0010] The risk level adjustment module is used to dynamically adjust the risk level of the corresponding quality control point based on the results of each construction quality control assessment using a trained BP neural network model, and update the multi-level quality control mapping table.

[0011] In some embodiments, the quality control point mapping module is used to construct a multi-level quality control mapping table based on BIM model components, WBS construction tasks, quality control points, and quality control point risk levels. The quality control point risk levels have a dynamic adjustment mechanism, that is, if the quality control point risk levels are dynamically adjusted, the multi-level quality control mapping table is updated.

[0012] In some embodiments, the quality control point mapping module is used to construct a primary mapping between the BIM model components and the WBS construction tasks by utilizing the unique identifiers of the BIM model components and the codes of the WBS construction tasks.

[0013] By using the coding of WBS construction tasks and the unique identifiers of quality control points, a two-level mapping between the WBS construction tasks and the quality control points is constructed.

[0014] A three-level mapping between quality control points and their risk levels is constructed, wherein the risk levels of the quality control points have a dynamic adjustment mechanism, that is, if the risk levels of the quality control points are dynamically adjusted, the corresponding three-level mapping is updated.

[0015] A multi-level quality control mapping table is obtained based on the first-level mapping, the second-level mapping, and the third-level mapping.

[0016] In some embodiments, the quality control point mapping module is used to determine the WBS construction task corresponding to each BIM model component in the component set to be inspected by using the first-level mapping in the multi-level quality control mapping table; then, using the second-level mapping in the multi-level quality control mapping table, determine the quality control point corresponding to each WBS construction task; and then, using the third-level mapping in the multi-level quality control mapping table, determine the quality control point risk level corresponding to each quality control point.

[0017] In some embodiments, the construction progress monitoring module is used to monitor the construction progress of BIM model components in real time, triggering a pre-inspection when the construction progress of the BIM model components is greater than 50%, and triggering the execution of construction quality control items when the construction progress of the BIM model components is equal to 100%.

[0018] In some embodiments, when the construction progress monitoring module triggers a pre-inspection:

[0019] The construction quality assessment module is used to check whether the BIM model components involved in the pre-inspection are completed, wherein the BIM model components involved in the pre-inspection are BIM model components that have not established multi-level quality control mappings associated with quality control points.

[0020] In some embodiments, when the construction progress monitoring module triggers the execution of a construction quality control item:

[0021] The construction quality assessment module is used to perform completion checks on each BIM model component in the set of components to be inspected; and based on the inspection results of each BIM model component, it determines whether the defect rate of the quality control point is within the controllable risk range according to the risk level of the quality control point, so as to complete the construction quality control assessment of the BIM model.

[0022] In some embodiments, the system further includes a quality control work order generation module;

[0023] When the construction progress monitoring module triggers a pre-inspection: the quality control work order generation module is used to generate a corresponding yellow work order for the BIM model components whose inspection results are completed in the pre-inspection and send it to the user terminal for processing;

[0024] When the construction progress monitoring module triggers the execution of the construction quality control project: the quality control work order generation module is used to generate a corresponding orange work order for the BIM model components whose detection result in the construction quality control project is completed and send it to the user terminal for processing.

[0025] When the construction progress monitoring module triggers the execution of the construction quality control project: the quality control work order generation module is used to generate a corresponding red work order for the quality control point where the defect rate exceeds the risk controllable range and send it to the user terminal for processing.

[0026] Secondly, embodiments of this application provide a construction quality control method based on a BIM model. The method is executed based on the system described in the first aspect above, and the method includes:

[0027] Real-time monitoring of the construction progress of BIM model components, and triggering the execution of construction quality control items of the BIM model based on the construction progress;

[0028] A set of components to be inspected is generated based on the construction quality control items, and the quality control points and risk levels of the quality control points corresponding to the set of components to be inspected are obtained using a multi-level quality control mapping table. The risk levels of the quality control points have a dynamic adjustment mechanism.

[0029] The construction quality control assessment of the BIM model is performed based on the set of components to be inspected, the quality control points, and the risk level of the quality control points.

[0030] Compared to related technologies, this application provides a construction quality control system and method based on a BIM model. The system includes: a construction progress monitoring module for real-time monitoring of the construction progress of BIM model components and triggering the execution of construction quality control projects based on the construction progress; a quality control point mapping module for generating a set of components to be inspected based on the construction quality control projects and using a multi-level quality control mapping table to derive the corresponding quality control points and risk levels of the component set, wherein the risk levels of the quality control points have a dynamic adjustment mechanism; and a construction quality assessment module for performing construction quality control assessment of the BIM model based on the set of components to be inspected, the quality control points, and the risk levels of the quality control points. This achieves the accurate and rapid location of quality control points and corresponding BIM components for construction quality control projects through the association of BIM components, quality control points, and risk levels via a multi-level quality control mapping table. Furthermore, the dynamic adjustment mechanism of the risk levels effectively improves the dynamic control capability of construction quality, thus solving the problem of how to improve the efficiency of construction quality control based on BIM models. Attached Figure Description

[0031] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments of this application and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0032] Figure 1 This is a structural block diagram of a BIM model-based construction quality control system according to an embodiment of this application;

[0033] Figure 2 This is a schematic diagram of the construction quality control process based on BIM model according to an embodiment of this application;

[0034] Figure 3 This is a schematic diagram of the internal structure of an electronic device according to an embodiment of this application. Detailed Implementation

[0035] To make the objectives, technical solutions, and advantages of this application clearer, the application is described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application. All other embodiments obtained by those skilled in the art based on the embodiments provided in this application without inventive effort are within the scope of protection of this application.

[0036] Obviously, the accompanying drawings described below are merely some examples or embodiments of this application. Those skilled in the art can apply this application to other similar scenarios based on these drawings without any inventive effort. Furthermore, it is understood that although the efforts made in this development process may be complex and lengthy, for those skilled in the art related to the content disclosed in this application, any changes to design, manufacturing, or production based on the technical content disclosed in this application are merely conventional technical means and should not be construed as insufficient disclosure of the content of this application.

[0037] In this application, the reference to "embodiment" means that a specific feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment that is mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0038] Unless otherwise defined, the technical or scientific terms used in this application shall have the ordinary meaning understood by one of ordinary skill in the art to which this application pertains. The terms “a,” “an,” “an,” “the,” and similar words used in this application do not indicate quantity limitation and may indicate singular or plural. The terms “comprising,” “including,” “having,” and any variations thereof used in this application are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units not listed, or may include other steps or units inherent to these processes, methods, products, or devices. The terms “connected,” “linked,” “coupled,” and similar words used in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. “Multiple” used in this application refers to two or more. “And / or” describes the relationship between related objects, indicating that three relationships may exist; for example, “A and / or B” can represent: A alone, A and B simultaneously, and B alone. The character " / " generally indicates that the preceding and following objects are in an "or" relationship. The terms "first," "second," and "third" used in this application are merely to distinguish similar objects and do not represent a specific ordering of the objects.

[0039] This application provides a construction quality control system based on a BIM model. Figure 1 This is a structural block diagram of a BIM model-based construction quality control system according to an embodiment of this application, such as... Figure 1As shown, the system includes a construction progress monitoring module, a quality control point mapping module, and a construction quality assessment module;

[0040] The construction progress monitoring module is used to monitor the construction progress of BIM model components in real time and trigger the execution of construction quality control projects of the BIM model according to the construction progress.

[0041] Specifically, Figure 2 This is a schematic diagram of the construction quality control process based on a BIM model according to an embodiment of this application, such as... Figure 2 As shown, the construction progress monitoring module is used to monitor the construction progress of BIM model components in real time. When the construction progress of the BIM model components is greater than 50%, a pre-inspection is triggered; when the construction progress of the BIM model components is equal to 100%, the execution of the construction quality control project is triggered.

[0042] The quality control point mapping module is used to generate a set of components to be inspected based on the construction quality control items, and to use a multi-level quality control mapping table to obtain the quality control points and risk levels of the quality control points corresponding to the set of components to be inspected. The risk levels of the quality control points have a dynamic adjustment mechanism.

[0043] Specifically, the quality control point mapping module is used to construct a multi-level quality control mapping table based on BIM model components, WBS construction tasks, quality control points, and quality control point risk levels. The quality control point risk levels have a dynamic adjustment mechanism, that is, if the quality control point risk levels are dynamically adjusted, the multi-level quality control mapping table will be updated.

[0044] It should be noted that Table 1 is an example table of the multi-level quality control mapping table according to the embodiments of this application. As shown in Table 1, by using the unique identifier of the component (such as GJ-203), the WBS code (such as WBS-05) and the unique identifier of the quality control point (such as QC-012), a multi-level quality control mapping table of BIM model components, WBS construction tasks, quality control points and quality control point risk levels can be constructed.

[0045] Table 1

[0046]

[0047] Preferably, the quality control point mapping module is used to construct a primary mapping between BIM model components and WBS construction tasks by utilizing the unique identifiers of BIM model components and the codes of WBS construction tasks.

[0048] It should be noted that Table 2 is an example table of primary mapping according to the embodiments of this application. As shown in Table 2, the primary mapping between BIM model components and WBS construction tasks can be constructed by using the unique identifier of BIM model components and the code of WBS construction tasks.

[0049] Table 2

[0050]

[0051] The quality control point mapping module then uses the coding of WBS construction tasks and the unique identifier of quality control points to construct a two-level mapping between WBS construction tasks and quality control points;

[0052] It should be noted that Table 3 is an example table of secondary mapping according to the embodiments of this application. As shown in Table 3, a secondary mapping between WBS construction tasks and quality control points can be constructed by using the coding of WBS construction tasks and the unique identifier of quality control points.

[0053] Table 3

[0054]

[0055] The quality control point mapping module then constructs a three-level mapping between quality control points and their risk levels. The quality control point risk level has a dynamic adjustment mechanism, meaning that if the quality control point risk level is dynamically adjusted, the corresponding three-level mapping is updated.

[0056] It should be noted that Table 4 is an example table of three-level mapping according to the embodiments of this application. As shown in Table 4, a three-level mapping between WBS construction tasks and quality control points is constructed.

[0057] Table 4

[0058]

[0059] Finally, a multi-level quality control mapping table is obtained based on the first-level mapping, second-level mapping, and third-level mapping.

[0060] The quality control point mapping module is used to determine the WBS construction tasks corresponding to each BIM model component in the component set to be inspected by using the first-level mapping in the multi-level quality control mapping table; then, it uses the second-level mapping in the multi-level quality control mapping table to determine the quality control points corresponding to each WBS construction task; and finally, it uses the third-level mapping in the multi-level quality control mapping table to determine the risk level of each quality control point.

[0061] It should be noted that Table 5 is an example table of quality control point risk levels according to embodiments of this application. As shown in Table 5, different quality control point risk levels correspond to different sampling rates for BIM model components. The higher the risk level, the higher the sampling rate required for the BIM model components included in the quality control point, i.e., higher quality control assessment requirements for the construction quality of the BIM model. Furthermore, if there are quality control clauses required by regulations, the minimum sampling rate required by the quality control clauses must be met to set the sampling rate for different risk levels.

[0062] Table 5

[0063]

[0064] The system includes a risk level adjustment module; the risk level adjustment module is used to dynamically adjust the risk level of the corresponding quality control point based on the results of each construction quality control assessment using a trained BP neural network model, and update the multi-level quality control mapping table.

[0065] It should be noted that a BP neural network (Back Propagation neural network) is a multi-layer feedforward neural network trained by backpropagation of errors. It typically consists of an input layer, hidden layers, and an output layer, with information passed between layers via connections with adjustable weights. The aforementioned multi-level quality control mapping table can be used to retrieve historical quality control data for different quality control points and serve as training data for the BP neural network model. Furthermore, since the risk level adjustment of quality control points is influenced by objective factors (such as high temperatures, typhoons, the number of labor disputes involving construction companies, and the presence or absence of concrete main roads during project construction), these objective factors are incorporated into the objective function construction of the BP neural network model. The model is trained with the goal of minimizing the defect rate of quality control points, enabling the BP model to better dynamically adjust the risk level of quality control points and achieve more effective dynamic control over the construction quality of the BIM model.

[0066] Optionally, the risk level adjustment module adjusts based on the occurrence of quality inspection actions and whether the defect rate meets the target (benchmark Z). min The defect rate threshold can be dynamically adjusted through a preset optimization formula, which is as follows:

[0067]

[0068] Among them, X n Z represents the risk level of the quality control point in this construction quality control assessment. n Z represents the defect rate of the quality control points in this construction quality control assessment. min This is the defect rate threshold; when Z n More than Z min When Z is active, the risk level of the relevant quality control point will be automatically raised by one level, up to a maximum of level 10; n Less than Z min When this happens, the risk level of the relevant quality control point will be automatically reduced by one level, down to level 1.

[0069] The construction quality assessment module is used to perform construction quality control assessment of the BIM model based on the set of components to be inspected, quality control points, and the risk level of the quality control points.

[0070] Specifically, when the aforementioned construction progress monitoring module triggers a pre-inspection: the construction quality assessment module is used to check whether the BIM model components involved in the pre-inspection are completed. The BIM model components involved in the pre-inspection are those that have not established multi-level quality control mappings associated with quality control points.

[0071] Furthermore, such as Figure 2 As shown, the system also includes a quality control work order generation module, which is used to generate corresponding yellow work orders for BIM model components whose inspection results are completed during the pre-inspection and send them to the user terminal for processing.

[0072] It should be noted that yellow work orders: When a component is completed but not associated with a quality control point, the system automatically pushes a basic notification "Completed and awaiting inspection." This notification is displayed as a gray status bar at the top of the phone screen, continuously reminding the user until the work is completed.

[0073] Specifically, when the construction progress monitoring module triggers the execution of the construction quality control project: the construction quality assessment module is used to check whether each BIM model component in the set of components to be inspected is completed; then, based on the inspection results of each BIM model component, it judges whether the defect rate of the quality control point is within the controllable risk range according to the risk level of the quality control point, so as to complete the construction quality control assessment of the BIM model.

[0074] It should be noted that the formula for calculating the defect rate at quality control points is:

[0075] Z = d / (k*D) 采集总数 )

[0076] Where d is the number of defective components at the quality control point, D 采集总数 To monitor the total number of components collected at the quality control points, k represents the sampling rate corresponding to the risk level of each quality control point.

[0077] Furthermore, the quality control work order generation module is used to generate corresponding orange work orders for BIM model components whose inspection results are completed in the construction quality control project and send them to the user terminal for processing; the quality control work order generation module is used to generate corresponding red work orders for quality control points whose defect rate exceeds the risk controllable range and send them to the user terminal for processing.

[0078] It should be noted that orange work orders: For completed components with associated quality control points, the system pushes an enhanced notification "Completed and awaiting inspection + quality control point ID (e.g., QC-012)", displayed as an orange banner warning. Clicking on it allows you to view the acceptance standards (following GB / T 51235-2017 standard); Red work orders: When the defect rate of quality control points in a construction quality control project exceeds a certain threshold (e.g., exceeding 15%), it displays as a red banner warning. This mechanism forcibly freezes subsequent processes and requires dual authentication (foreman + safety officer scanning the code) to unlock, in accordance with JGJ59-2011 safety standards.

[0079] Furthermore, when the defect rate of a quality control point in a construction quality control project exceeds a certain threshold (e.g., exceeding 15%), the aforementioned risk level adjustment module can be used to adjust the risk level of that quality control point to level 2. Defective components will be highlighted in the BIM model, a defective component work order (including component ID, inspection time, and exceedance value) will be automatically generated, and the construction engineer will be notified for processing. All BIM model components (D) included in this inspection of the quality control point will also be marked. 采集总数 The scope of the next quality inspection task is defined as follows:

[0080]

[0081] Z f d represents the defect rate for the next task. f D represents the number of defective components for the next quality inspection task. 采集总数 To monitor the number of all components collected at the quality control points, D 下一次采集总数 k represents the total number of components for the next task. 提升+2 The sampling rate corresponding to the upgraded risk level.

[0082] Through the construction progress monitoring module, quality control point mapping module, construction quality assessment module, risk level adjustment module, and quality control work order generation module in this application embodiment, it is possible to accurately and quickly locate the quality control points and corresponding BIM components of the construction quality control project by associating BIM components, quality control points, and risk levels through a multi-level quality control mapping table. Moreover, the dynamic adjustment mechanism of risk level effectively improves the dynamic control capability of construction quality, thus solving the problem of how to improve the efficiency of construction quality control based on BIM model.

[0083] It should be noted that the above modules can be functional modules or program modules, and can be implemented through software or hardware. For modules implemented through hardware, the above modules can reside in the same processor; or the above modules can be located in different processors in any combination.

[0084] This application provides a construction quality control method based on a BIM model. The method is implemented based on the system provided in the above embodiment and includes the following steps:

[0085] Real-time monitoring of the construction progress of BIM model components, and triggering the execution of construction quality control projects of the BIM model according to the construction progress;

[0086] A set of components to be inspected is generated based on the construction quality control items, and the quality control points and risk levels of the quality control points corresponding to the set of components to be inspected are obtained using a multi-level quality control mapping table. The risk levels of the quality control points have a dynamic adjustment mechanism.

[0087] The construction quality control assessment of the BIM model is performed based on the set of components to be inspected, quality control points, and the risk level of the quality control points.

[0088] Through the steps described in this application embodiment, a multi-level quality control mapping table is used to associate BIM components, quality control points, and risk levels. This enables accurate and quick location of quality control points and corresponding BIM components for construction quality control projects. Furthermore, the dynamic adjustment mechanism of risk levels effectively improves the dynamic control capability of construction quality, thus solving the problem of how to improve the efficiency of construction quality control based on BIM models.

[0089] It should be noted that the steps shown in the above process or in the flowchart of the accompanying figures can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0090] This embodiment provides an electronic device including a memory and a processor. The memory stores a computer program, and the processor is configured to run the computer program to perform the steps in any of the above method embodiments.

[0091] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor and the input / output device is connected to the processor.

[0092] Optionally, the electronic device may further include a processor, memory, network interface, display screen, and input device connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface is used to communicate with external terminals via a network connection. When the computer program is executed by the processor, it implements a BIM model-based construction quality control method. The display screen may be an LCD screen or an e-ink screen. The input device may be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the device's casing, or an external keyboard, touchpad, or mouse.

[0093] It should be noted that the specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementations, and will not be repeated here.

[0094] Furthermore, in conjunction with the BIM model-based construction quality control method in the above embodiments, this application embodiment can provide a storage medium for implementation. This storage medium stores a computer program; when executed by a processor, the computer program implements any of the BIM model-based construction quality control methods in the above embodiments.

[0095] In one embodiment, Figure 3 This is a schematic diagram of the internal structure of an electronic device according to an embodiment of this application, such as... Figure 3 As shown, an electronic device is provided, which can be a server, and its internal structure diagram can be as follows. Figure 3 As shown, the electronic device includes a processor, a network interface, internal memory, and non-volatile memory connected via an internal bus. The non-volatile memory stores the operating system, computer programs, and a database. The processor provides computing and control capabilities, the network interface communicates with external terminals via a network, the internal memory provides an environment for the operating system and computer programs to run, the computer programs are executed by the processor to implement a BIM model-based construction quality control method, and the database stores data.

[0096] Those skilled in the art will understand that Figure 3 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the electronic device to which the present application is applied. A specific electronic device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0097] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0098] Those skilled in the art should understand that the technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments have been described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0099] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A BIM model-based construction quality management system, characterized in that, The system comprises a construction progress monitoring module, a quality control point mapping module, a risk level adjustment module and a construction quality evaluation module. The construction progress monitoring module is configured to monitor the construction progress of the BIM model components in real time, and trigger the execution of the construction quality control project of the BIM model according to the construction progress. The quality control point mapping module is configured to construct a multi-level quality control mapping table according to the BIM model components, the WBS construction tasks, the quality control points and the quality control point risk levels, comprising: The quality control point mapping module is configured to construct a first-level mapping between the BIM model components and the WBS construction tasks using the unique identifier of the BIM model components and the code of the WBS construction tasks, construct a second-level mapping between the WBS construction tasks and the quality control points using the code of the WBS construction tasks and the unique identifier of the quality control points, and construct a third-level mapping between the quality control points and the quality control point risk levels, wherein the quality control point risk level has a dynamic adjustment mechanism, that is, if the quality control point risk level is dynamically adjusted, the corresponding third-level mapping is updated; and obtain the multi-level quality control mapping table based on the first-level mapping, the second-level mapping and the third-level mapping. The risk level adjustment module is configured to dynamically adjust the quality control point risk level of the corresponding quality control point according to the result of each construction quality control evaluation by using the trained BP neural network model, and update the multi-level quality control mapping table, wherein the historical quality control data of different quality control points is associated and retrieved by using the multi-level quality control mapping table as the training data of the BP neural network model, and the objective factors are introduced to train the model with the goal of minimizing the defect rate of the quality control point, and the objective factors include high temperature weather, typhoon, number of labor disputes of construction enterprises, and presence or absence of concrete trunk road. The quality control point mapping module is configured to generate a set of components to be inspected according to the construction quality control project, and obtain the corresponding quality control points and quality control point risk levels of the set of components to be inspected by using the multi-level quality control mapping table, wherein the quality control point risk level has a dynamic adjustment mechanism. The construction quality evaluation module is configured to perform construction quality control evaluation of the BIM model according to the set of components to be inspected, the quality control points and the quality control point risk levels.

2. The system of claim 1, wherein, The quality control point mapping module is configured to determine the corresponding WBS construction tasks of each BIM model component in the set of components to be inspected by using the first-level mapping in the multi-level quality control mapping table, determine the corresponding quality control points of each WBS construction task by using the second-level mapping in the multi-level quality control mapping table, and determine the corresponding quality control point risk levels of each quality control point by using the third-level mapping in the multi-level quality control mapping table.

3. The system of claim 1, wherein, The construction progress monitoring module is configured to monitor the construction progress of the BIM model components in real time, trigger pre-inspection when the construction progress of the BIM model components is greater than 50%, and trigger the execution of the construction quality control project when the construction progress of the BIM model components is equal to 100%.

4. The system of claim 3, wherein, In the case that the construction progress monitoring module triggers pre-inspection, The construction quality evaluation module is configured to detect whether the BIM model components involved in the pre-inspection are completed, wherein the BIM model components involved in the pre-inspection are BIM model components that are not associated with quality control points through multi-level quality control mapping.

5. The system of claim 4, wherein, In a case where the construction progress monitoring module triggers execution of the construction quality control project: The construction quality evaluation module is configured to detect whether each BIM model component in the to-be-inspected component set is completed, and to determine, based on the detection result of each BIM model component, whether the defect rate of the quality control point is within the risk controllable range according to the risk level of the quality control point, so as to complete the construction quality control evaluation of the BIM model.

6. The system of claim 5, wherein, The system further comprises a quality control work order generation module. In a case where the construction progress monitoring module triggers pre-inspection, the quality control work order generation module is configured to generate a corresponding yellow work order for the BIM model component with a completed detection result in the pre-inspection and send the work order to the user terminal for processing. In a case where the construction progress monitoring module triggers execution of the construction quality control project, the quality control work order generation module is configured to generate a corresponding orange work order for the BIM model component with a completed detection result in the construction quality control project and send the work order to the user terminal for processing. In a case where the construction progress monitoring module triggers execution of the construction quality control project, the quality control work order generation module is configured to generate a corresponding red work order for the quality control point with a defect rate exceeding the risk controllable range and send the work order to the user terminal for processing. 7.A BIM model-based construction quality management method, characterized in that, The method is executed based on the system of any one of claims 1 to 6, and the method comprises: monitoring the construction progress of the BIM model components in real time and triggering execution of the construction quality control project of the BIM model according to the construction progress; generating a to-be-inspected component set according to the construction quality control project and deriving quality control points and quality control point risk levels corresponding to the to-be-inspected component set by using a multi-level quality control mapping table, wherein the quality control point risk level has a dynamic adjustment mechanism; performing construction quality control evaluation of the BIM model according to the to-be-inspected component set, the quality control points, and the quality control point risk levels.

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