Construction quality dynamic closed-loop rechecking method and system

Abstract

The invention relates to a construction quality dynamic closed-loop rechecking method and system, and the method comprises the steps: enabling a BIM model to be linked with a construction progress plan, and integrating the space information and time information of the construction progress into a visual 4D-BIM progress model; the construction quality dynamic closed-loop rechecking method comprises the following steps: S1, presetting a scanning trigger node bound with a construction process in a 4D-BIM progress model; s2, when the construction progress reaches a scanning trigger node, a scanning device is scheduled to collect field point cloud; according to the method, a progress triggering mechanism is formed on the basis that the scanning triggering node bound with the construction procedure is preset in the 4D-BIM progress model, and the scanning action of the scanning equipment is converted into an automatic actuator of the 4D-BIM progress model, so that the site construction quality condition is automatically scanned and analyzed at the set position of the scanning triggering node; in this way, the purpose of automatic building construction quality control is achieved, and the problems of randomness of manual planning and low efficiency can be solved.

Description

Technical Field

[0001] The present invention relates to the technical field of building construction quality management, and in particular to a construction quality dynamic closed-loop review method and system thereof. Background Art

[0002] With the increasing complexity of construction, it is becoming increasingly difficult to control the quality of construction. Currently, the management of construction quality is based on manual input and comparison between actual construction reports and design and construction models. This is a labor-intensive and prone to errors, and cannot meet the needs of efficient construction quality management. Summary of the Invention

[0003] The purpose of the present invention is to overcome the defects of the prior art and provide a construction quality dynamic closed-loop review method and system thereof to solve the problem of low efficiency of building construction quality management in the prior art.

[0004] To achieve the above objectives, the present invention provides a dynamic closed-loop review method for construction quality. Based on linking the BIM model with the construction schedule, the spatial and temporal information of the construction progress are integrated into a visual 4D-BIM progress model. The dynamic closed-loop review method for construction quality includes the following steps:

[0005] S1. Preset a scan trigger node bound to the construction process in the 4D-BIM schedule model;

[0006] S2. When the construction progress reaches the scanning trigger node, the scanning equipment is dispatched to collect the on-site point cloud, and the point cloud density is set based on the importance of the components;

[0007] S3, aligning the point cloud with the BIM model through the target-free feature registration algorithm;

[0008] S4. Output component-level deviation values ​​based on the alignment between point cloud and BIM model, and implement hierarchical management and control;

[0009] S5. Dynamically modify the 4D-BIM progress model based on the management and control results and recalculate resource requirements.

[0010] By adopting this technical solution, a progress trigger mechanism is formed based on the pre-set scanning trigger nodes bound to the construction process in the 4D-BIM progress model, and the scanning action of the scanning equipment is converted into an automatic executor of the 4D-BIM progress model, so that automatic on-site construction quality scanning and analysis can be performed at the set scanning trigger node position, thereby achieving the purpose of automated construction quality control. At the same time, after the control is completed, the 4D-BIM model can be actively and dynamically corrected according to the control results, forming a fully automatic dynamic closed-loop review of construction quality, which can solve the problems of randomness and low efficiency of manual planning.

[0011] Furthermore, the types of the scan trigger nodes in step S1 include process completion type nodes and environment constraint type nodes; wherein,

[0012] Process completion nodes include concrete pouring completion surface inspection and steel structure weld acceptance;

[0013] Environmental constraint nodes include component closure temperature ≤ T0 and wind speed ≤ V0, where T0 is the preset standard temperature and V0 is the preset standard wind speed.

[0014] By adopting this technical solution, the conditions and types of node formation are calibrated, and the setting ranges of process completion nodes and environmental constraint nodes are clearly defined.

[0015] Furthermore, in the environmental constraint node, the component closure temperature is set to T1, which is dynamically calculated based on the material thermal deformation coefficient:

[0016] T1=T_{ref}-\frac{\delta}{\alpha\cdotL_0};where,

[0017] T_{ref} is the design reference temperature, \frac is the fractional command, \delta is the allowable deformation, \alpha is the material expansion coefficient, \cdot is the multiplication point, and L_0 is the component length.

[0018] By adopting this technical solution, automatic calculation of T0 is achieved.

[0019] Furthermore, the component importance classification in step S2 includes at least two levels: load-bearing structure and decorative component; wherein,

[0020] Point cloud density of load-bearing structure ≥ 200 points / m 2 ;

[0021] Point cloud density of decorative components ≥ 50 points / m 2 .

[0022] By adopting this technical solution, the point cloud density is increased according to the increasing importance of the components, which can ensure the quality monitoring accuracy of various components.

[0023] Furthermore, the target-free feature registration algorithm process in step S3 includes extracting feature points of the permanent structure on site and calculating the transformation matrix using the ICP algorithm.

[0024] Furthermore, when executing step S4:

[0025] The AI ​​deviation analysis engine detects the alignment between the point cloud and the BIM model and outputs component-level deviation values;

[0026] Then, hierarchical control is performed based on the size of the component-level deviation value. The content of the hierarchical control includes:

[0027] When the component-level deviation value is greater than 150%*the allowable value in the specification, the related construction process will be frozen and a rectification order will be issued;

[0028] When the component-level deviation value is within the range of 100%-150%*the allowable value of the specification, rectification shall be carried out within a limited time and subsequent scan triggering nodes shall be delayed;

[0029] When the component-level deviation value is less than 100%*the permitted value in the specification, the BIM model is updated and the next construction process is unlocked.

[0030] By adopting this technical solution, hierarchical management and control can be carried out according to the deviation value output by aligning the point cloud with the BIM model, and the processing methods for different deviation values ​​can be defined to ensure the continuity of the implementation of the method.

[0031] The present invention also provides a system for implementing a dynamic closed-loop review method for construction quality, comprising:

[0032] A progress monitoring module is connected to the 4D-BIM progress model, and is used to analyze the 4D-BIM progress model in real time and feedback a node compliance signal when the construction progress reaches the scan trigger node;

[0033] An equipment scheduling module, connected to the progress monitoring module, is used to schedule scanning equipment to collect on-site point clouds when receiving a node compliance signal, and to set point cloud density based on component importance levels;

[0034] An intelligent registration engine, connected to the equipment scheduling module, is used to align the point cloud with the BIM model using a target-free feature registration algorithm, obtain component-level deviation values ​​based on the alignment, and output a hierarchical management and control report based on the component-level deviation values ​​to guide on-site hierarchical management and control;

[0035] A closed-loop control module is connected to the intelligent registration engine and the 4D-BIM model at the same time, and is used to dynamically modify the 4D-BIM progress model according to the hierarchical control processing results to ensure that the 4D-BIM progress model corresponds to subsequent construction processes.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] Based on the scanning trigger nodes pre-set in the 4D-BIM progress model and bound to the construction process, a progress trigger mechanism is formed to convert the scanning action of the scanning equipment into an automatic executor of the 4D-BIM progress model, so as to automatically scan and analyze the on-site construction quality at the set scanning trigger node position, so as to achieve the purpose of automated construction quality control. At the same time, after the control is completed, the 4D-BIM model can be actively and dynamically corrected according to the control results, forming a fully automatic dynamic closed-loop review of construction quality, which can solve the problems of randomness and low efficiency of manual planning. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 Schematic diagram of the process of the dynamic closed-loop review method for construction quality in the present invention;

[0039] Figure 2 Schematic diagram of the core transmission architecture of the dynamic closed-loop construction quality review method and system in the present invention.

[0040] Explanation of the accompanying reference numerals: 1. Steel beam; 2. Transfer frame; 21. Horizontal cross bar; 211. First square bar; 212. First square tube; 213. First bolt; 214. Handle; 22. Horizontal longitudinal bar; 221. Second square bar; 222. Second square tube; 23. Support frame; 24. Universal wheel; 3. Winch; 4. Wire rope; 5. Inverted hanging clamp; 51. Clamp; 52. Pin. DETAILED DESCRIPTION

[0041] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0042] Please see the attached Figure 1-2 The present invention provides a dynamic closed-loop review method for construction quality. Based on linking the BIM model with the construction schedule, the spatial information and time information of the construction progress are integrated into a visual 4D-BIM progress model. The dynamic closed-loop review method for construction quality includes the following steps: S1. Presetting a scanning trigger node bound to the construction process in the 4D-BIM progress model; S2. When the construction progress reaches the scanning trigger node, scheduling the scanning equipment to collect the on-site point cloud, and setting the point cloud density based on the component importance level; S3. Aligning the point cloud with the BIM model through a target-free feature registration algorithm; S4. Outputting the component-level deviation value based on the alignment of the point cloud and the BIM model, and performing hierarchical management and control; S5. Dynamically correcting the 4D-BIM progress model according to the management and control disposal results, and recalculating the resource requirements.

[0043] Based on the scanning trigger nodes pre-set in the 4D-BIM progress model and bound to the construction process, a progress trigger mechanism is formed to convert the scanning action of the scanning equipment into an automatic executor of the 4D-BIM progress model, so as to automatically scan and analyze the on-site construction quality at the set scanning trigger node position, so as to achieve the purpose of automated construction quality control. At the same time, after the control is completed, the 4D-BIM model can be actively and dynamically corrected according to the control results, forming a fully automatic dynamic closed-loop review of construction quality, which can solve the problems of randomness and low efficiency of manual planning.

[0044] The types of scanning trigger nodes in step S1 include process completion nodes and environment constraint nodes; among them, process completion nodes include concrete pouring completion surface inspection and steel structure weld acceptance; environmental constraint nodes include component joint temperature ≤ T0 and wind speed ≤ V0, among which T0 is the preset standard temperature and V0 is the preset standard wind speed, which are preset according to the actual construction quality control requirements on site; calibrate the node formation conditions and types, and clearly define the setting ranges of process completion nodes and environment constraint nodes.

[0045] Furthermore, in the environmental constraint node, the component closure temperature is set to T1, which is dynamically calculated based on the material thermal deformation coefficient:

[0046] T1=T_{ref}-\frac{\delta}{\alpha\cdotL_0}; where T_{ref} is the design reference temperature, \frac is the fractional command, \delta is the allowable deformation, \alpha is the material expansion coefficient, \cdot is the multiplication point, and L_0 is the component length; this realizes the automatic calculation of T0.

[0047] The scanning equipment in step S2 includes a drone and a ground scanner, wherein the drone scanning performed by the drone can meet the scanning requirements of large scenes, and the ground scanning performed by the ground scanner can meet the scanning requirements of high precision.

[0048] Furthermore, the component importance classification in step S2 includes at least two levels: load-bearing structure and decorative component; wherein the point cloud density of the load-bearing structure is ≥ 200 points / m 2 ; Point cloud density of decorative components ≥ 50 points / m 2 Increasing the point cloud density according to the increasing importance of components can ensure the quality monitoring accuracy of various components.

[0049] The targetless feature registration algorithm process in step S3 includes extracting feature points of the permanent structure on site and calculating the transformation matrix using the ICP algorithm; the targetless feature registration algorithm (normal vector constrained ICP) achieves an accuracy of ±2mm, which is more efficient than traditional target registration.

[0050] When executing step S4, the AI ​​deviation analysis engine is used to detect the alignment of the point cloud and the BIM model and output the component-level deviation value, and then hierarchical management and control are performed according to the size of the component-level deviation value. The content of hierarchical management and control includes: when the component-level deviation value is greater than 150%*the allowable value of the specification, the associated construction process is frozen and a rectification order is pushed; when the component-level deviation value is within the range of 100%-150%*the allowable value of the specification, rectification is carried out within a limited time, and subsequent scan trigger nodes are delayed; when the component-level deviation value is less than 100%*the allowable value of the specification, the BIM model is updated and the next construction process is unlocked; hierarchical management and control are performed according to the deviation value output by the alignment of the point cloud and the BIM model, and processing methods for different deviation values ​​are defined to ensure the continuity of the implementation of the method.

[0051] Furthermore, component deviation values ​​can be assigned different colors to represent different deviation levels based on the aforementioned hierarchical control, and judgment rules and handling measures can be set based on the deviation levels, as shown below:

[0052]

[0053]

[0054] The present invention also provides a system for implementing a dynamic closed-loop review method for construction quality, comprising:

[0055] A progress monitoring module is connected to the 4D-BIM progress model, and is used to analyze the 4D-BIM progress model in real time and feedback a node compliance signal when the construction progress reaches the scan trigger node;

[0056] An equipment scheduling module, connected to the progress monitoring module, is used to schedule scanning equipment to collect on-site point clouds when receiving a node compliance signal, and to set point cloud density based on component importance levels;

[0057] An intelligent registration engine, connected to the equipment scheduling module, is used to align the point cloud with the BIM model using a target-free feature registration algorithm, obtain component-level deviation values ​​based on the alignment, and output a hierarchical management and control report based on the component-level deviation values ​​to guide on-site hierarchical management and control;

[0058] A closed-loop control module is connected to the intelligent registration engine and the 4D-BIM model at the same time, and is used to dynamically modify the 4D-BIM progress model according to the hierarchical control processing results to ensure that the 4D-BIM progress model corresponds to subsequent construction processes.

[0059] Furthermore, the scanning equipment includes drones and ground scanners; drones complete drone scanning to meet the scanning needs of large scenes; ground scanners complete ground scanning to meet the scanning needs of high precision.

[0060] The present invention has been described in detail above with reference to the embodiments of the accompanying drawings. A person skilled in the art can make various modifications to the present invention based on the above description. Therefore, certain details in the embodiments should not be construed as limiting the present invention. The scope of protection of the present invention shall be determined by the scope defined in the appended claims.

Claims

1. A dynamic closed-loop review method for construction quality, based on linking the BIM model with the construction schedule, integrating the spatial and temporal information of the construction progress into a visual 4D-BIM progress model, characterized by: The construction quality dynamic closed-loop review method comprises the following steps: S1. Preset a scan trigger node bound to the construction process in the 4D-BIM schedule model; S2. When the construction progress reaches the scanning trigger node, the scanning equipment is dispatched to collect the on-site point cloud, and the point cloud density is set based on the importance of the components; S3, aligning the point cloud with the BIM model through the target-free feature registration algorithm; S4. Output component-level deviation values ​​based on the alignment between point cloud and BIM model, and implement hierarchical management and control; S5. Dynamically modify the 4D-BIM progress model based on the management and control results and recalculate resource requirements.

2. The dynamic closed-loop construction quality review method according to claim 1, characterized in that: The types of scan trigger nodes in step S1 include process completion type nodes and environment constraint type nodes; wherein, Process completion nodes include concrete pouring completion surface inspection and steel structure weld acceptance; Environmental constraint nodes include component closure temperature ≤ T0 and wind speed ≤ V0, where T0 is the preset standard temperature and V0 is the preset standard wind speed.

3. The dynamic closed-loop construction quality review method according to claim 2, characterized in that: In the environmental constraint node, the component closure temperature is set to T1, which is dynamically calculated based on the material thermal deformation coefficient: T1=T_{ref}-\frac{\delta}{\alpha\cdotL_0} Where T_{ref} is the design reference temperature, \frac is the fractional command, \delta is the allowable deformation, \alpha is the material expansion coefficient, \cdot is the multiplication point, and L_0 is the component length.

4. The dynamic closed-loop construction quality review method according to claim 1 is characterized in that: The component importance classification in step S2 includes at least two levels: load-bearing structure and decorative component; wherein, Point cloud density of load-bearing structure ≥ 200 points / m 2 ; Point cloud density of decorative components ≥ 50 points / m 2 .

5. The dynamic closed-loop construction quality review method according to claim 1 is characterized in that: The target-free feature registration algorithm process in step S3 includes extracting feature points of the permanent structure on site and calculating the transformation matrix using the ICP algorithm.

6. The dynamic closed-loop construction quality review method according to claim 1, characterized in that: When executing step S4: The AI ​​deviation analysis engine detects the alignment between the point cloud and the BIM model and outputs component-level deviation values; Then, hierarchical control is performed according to the size of the component-level deviation value. The content of hierarchical control includes: When the component-level deviation value is greater than 150%*the allowable value in the specification, the related construction process will be frozen and a rectification order will be issued; When the component-level deviation value is within the range of 100%-150%*the allowable value of the specification, rectification shall be carried out within a limited time and subsequent scan triggering nodes shall be delayed; When the component-level deviation value is less than 100%*the permitted value in the specification, the BIM model is updated and the next construction process is unlocked.

7. A system for implementing the dynamic closed-loop construction quality review method described in any one of 1-6, characterized by: include: A progress monitoring module is connected to the 4D-BIM progress model, and is used to analyze the 4D-BIM progress model in real time and feedback a node compliance signal when the construction progress reaches the scan trigger node; An equipment scheduling module, connected to the progress monitoring module, is used to schedule scanning equipment to collect on-site point clouds when receiving a node compliance signal, and to set point cloud density based on component importance levels; An intelligent registration engine, connected to the equipment scheduling module, is used to align the point cloud with the BIM model using a target-free feature registration algorithm, obtain component-level deviation values ​​based on the alignment, and output a hierarchical management and control report based on the component-level deviation values ​​to guide on-site hierarchical management and control; A closed-loop control module is connected to the intelligent registration engine and the 4D-BIM model at the same time, and is used to dynamically modify the 4D-BIM progress model according to the hierarchical control processing results to ensure that the 4D-BIM progress model corresponds to subsequent construction processes.

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