CN-122022362-A - Highway construction BIM-digital twin integrated progress quality linkage management and control method and device

CN122022362ACN 122022362 ACN122022362 ACN 122022362ACN-122022362-A

Abstract

The invention discloses a method and a device for controlling the quality linkage of a highway construction BIM-digital twin integrated progress, and belongs to the technical field of intelligent construction and digital engineering management. The invention is used for solving the problem that the progress and the quality lack of bidirectional dynamic coupling and closed-loop feedback under a BIM-digital twin framework in the prior art. Constructing a progress-quality joint state space model based on multidimensional space-time constraint, designing a cooperative control framework consisting of five engines of progress driving, quality verification, deviation analysis, model correction and plan rearrangement, the invention realizes progress execution, quality verification, deviation early warning, model correction and plan rearrangement closed-loop regulation and control through a unified data bus. The invention can realize the deep coupling, dynamic linkage and self-adaptive optimization of the progress and the quality, and improves the controllability and the robustness of the road construction process.

Inventors

SUN HAIBIN
LIU CHAOQUN
LIU XU
WANG DAWEI
MA JING
ZHAO JINBIAO
ZHOU HAISHAN
Yao Shengzhen

Assignees

沈阳鑫鼎恒科技有限公司

Dates

Publication Date: 20260512
Application Date: 20260210

Claims (10)

1. The BIM-digital twin integrated progress quality linkage control method for highway construction is characterized by comprising the following steps of: constructing a progress-quality joint state space model taking a BIM component as a basic unit, wherein the BIM component is uniquely identified through IfcGloballyUniqueId defined by an ISO12006-2 standard and is associated with a four-tuple state vector: ; Wherein: For a theoretical completion time stamp of the component in the schedule, In order to actually complete the time stamp, A set of quality index thresholds specified for the design specification, A comprehensive quality score calculated based on the field measured data; step two, deploying a five-membered cooperative control framework consisting of a progress driving engine, a quality verification engine, a deviation analysis engine, a model correction engine and a plan rearrangement engine, wherein each engine realizes state synchronization and instruction interaction through a unified data bus; step three, the progress driving engine dynamically generates a procedure execution instruction stream based on a key chain method and updates the procedure execution instruction stream Pushing to a digital twin platform; Step four, after receiving the process completion confirmation signal, the quality verification engine acquires multi-source sensing data pairs based on the on-site sensing network Calculating and writing the result into the joint state space model; Step five, the deviation analysis engine is based on progress deviation Deviation from quality Performing a calculation in which Based on the deviation of the quality Calculating to obtain a comprehensive influence index of a subsequent process by combining a preset process dependency influence matrix, and generating a high-risk early warning when the comprehensive influence index exceeds a threshold value; the model correction engine performs geometric correction or attribute correction on the BIM model according to the deviation type, and generates a version snapshot; and step seven, the plan rearrangement engine solves the mixed integer linear programming problem based on the corrected model, the resource availability and the environmental constraint to generate an optimized progress plan, and transmits the optimized progress plan back to the progress driving engine to form a closed-loop regulation and control flow.
2. The highway construction BIM-digital twin integrated progress quality linkage management and control method of claim 1, wherein the progress drive engine dynamically calculates The formula of (2) is: ; Wherein: for the number of the current process step, For the set of immediately preceding process steps, For the process interval time, To disregard the earliest possible start time of the resource constraint, Floating time allocated for the buffer-based management policy; Is the working procedure The schedule driving engine recalculates all outstanding procedures every 24 hours or upon receipt of an external trigger signal 。
3. The highway construction BIM-digital twinning integration progress quality linkage control method of claim 1, wherein for the roadbed compaction process, the quality decision algorithm executed by the quality verification engine comprises: Reconstructing a road roller pass distribution map based on a GNSS track; dividing the road section to be verified into 1m multiplied by 1m grid units, and calculating the average compaction pass number of each unit If (1) And coefficient of variation Judging that the unit is qualified; calculating the qualification rate of the whole road section ; Wherein: For the average compaction pass per grid cell, For the minimum compaction pass required by the design specification, Is that Is set in the standard deviation of (2), Is that Is used for the average value of (a), As the coefficient of variation, the number of the variations, For the maximum allowable coefficient of variation to be the same, For the qualification rate of the road section, As a threshold value of the percent of pass, Scoring the composite quality; If it is Then A value of 1, otherwise a value of 0.
4. The highway construction BIM-digital twin integrated progress quality linkage control method according to claim 1 is characterized in that the field sensing network comprises an intelligent road roller built-in acceleration sensor, a GNSS positioning module, an infrared thermal imaging array, an embedded strain gauge, a temperature and humidity probe and a mobile three-dimensional laser scanner, wherein all sensors are connected into an edge computing node through an industrial Ethernet or a 5G private network, and semantic interoperation is achieved through an OPCUA protocol interface.
5. The highway construction BIM-digital twin integrated progress quality linkage control method of claim 1, wherein the process-dependent influence matrix Middle element The calculation formula of (2) is as follows: ; Wherein: And Is a weight coefficient, satisfies Default values are respectively 0.4 and 0.6; Is the working procedure Is a physical length of (2); Is the total length of the project; as a critical index of the process, if the process is The value is 1 when the path is positioned on the critical path, otherwise, the value is 0; Is the working procedure Is a set of all subsequent processes; Is the working procedure To the working procedure Is a coefficient of influence of (a); the integrated impact index: and wherein: ; as a quality influence factor, the quality defect detection method is used for quantifying the influence degree of the quality defect of the preamble procedure i on the subsequent procedure j, and checking a preset rule table (shown in table 1) according to the quality defect type and the severity of the preamble procedure i; The mass-progress coupling coefficient is used for quantifying the amplifying effect of mass deviation on progress, the default experience value is 2.0, and the mass-progress coupling coefficient can be adjusted within the range of 1.5-3.0 according to the project type; for subsequent processes Is a comprehensive impact index of (2); in order for the progress deviation to be a function of, In order to be a quality deviation, the method comprises the steps of, In order to influence the component in time, Is a quality affecting component.
6. The method for managing and controlling the quality of the highway construction BIM-digital twin integrated progress according to claim 1, wherein the geometric correction performed by the model correction engine is that point cloud data acquired by a mobile three-dimensional laser scanner is called, the point cloud data is aligned with an original BIM model through an ICP algorithm, a new IfcEarthworksFill or IfcEarthworksCut entity is automatically generated for an area exceeding a tolerance band of +/-5 cm to replace a corresponding part of the original model, and the attribute correction is that QualityStatus attributes in IfcPropertySet of a BIM component are updated to be Failed, and failure reason codes and actual measurement data reference links are added.
7. The highway construction BIM-digital twin integrated progress quality linkage control method of claim 1, wherein the mixed integer linear programming problem objective function solved by the rescheduling engine is: ; Wherein: In order to be an affected set of processes, Is the working procedure Weights (critical path taken 1.5, non-critical taken 1.0), Is the working procedure The rearranged schedule is completed with a time stamp, Is the working procedure The original schedule is completed with a time stamp, For the resource penalty factor(s), For the number of resource types, Is the first The overrun usage of class resources, Is a quality stabilization waiting period; Constraint conditions comprise process logic constraint, resource capacity constraint, quality window constraint and key node conservation constraint, wherein the quality window constraint requires that the starting time of the subsequent process is not earlier than the actual completion time of the preceding process plus a quality stabilization waiting period , According to the type of material, environmental conditions and construction specifications.
8. A highway construction BIM-digital twinning integrated progress quality control device for implementing the method of any one of claims 1 to 7, comprising: the central control server is used for bearing a progress driving engine, a deviation analysis engine, a model correction engine and a plan rearrangement engine; an edge computing node adopts NVIDIAJetsonAGXOrin modules for deploying a quality verification engine; The on-site sensing network comprises an intelligent road roller, an infrared thermal imaging array, an embedded strain gauge, a temperature and humidity probe and a mobile three-dimensional laser scanner, a supervision mobile terminal, a digital twin visualization terminal, a WebGL rendering engine and a CesiumJS geographical space frame, wherein the supervision mobile terminal is a reinforced Android panel, supports NFC label scanning and confirmation procedures to be completed, shoots quality evidence images and uploads the quality evidence images to a blockchain evidence storage node based on HYPER LEDGER Fabric2.5 architecture, and is used for three-dimensional scene interaction and state information display.
9. The highway construction BIM-digital twin integrated progress quality linkage control device according to claim 8, wherein the central control server is connected with a BIM model database and a distributed time sequence database through a unified data bus, wherein the BIM model database adopts MongoDB sliced cluster storage component geometry and attribute information, and the distributed time sequence database adopts influxdb2.7 to store a quad state vector and a time sequence thereof.
10. The highway construction BIM-digital twin integrated progress quality linkage control device according to claim 8, wherein when the supervision mobile terminal confirms that the procedure is finished, a camera is required to be called to shoot a field image, the image is uploaded to a blockchain evidence storage node based on HYPER LEDGER Fabric2.5 architecture after hash encryption, and verification data is ensured to be not tamperable.

Description

Highway construction BIM-digital twin integrated progress quality linkage management and control method and device Technical Field The invention belongs to the technical field of intelligent construction and digital twinning, and particularly relates to a method and a device for controlling and controlling the quality linkage of a highway construction BIM-digital twinning integrated progress. Background The fusion of a Building Information Model (BIM) and a digital twin technology is regarded as a key path for improving the fine management level of highway engineering construction, the BIM provides a structured information base of the whole life cycle of the engineering, and the digital twin technology enables a physical entity to have computable and interactive digital mapping capability through real-time perception and dynamic simulation. The method lays a technical foundation for realizing visualization, analysis and intervention of the construction process. The invention patent of publication number CN120851442A discloses that a risk matrix is constructed by integrating multi-source sensing data, construction safety simulation and abnormality visualization are carried out in a digital twin environment by utilizing an artificial intelligent model, and active early warning of structural safety risks is mainly focused. The invention patent of publication number CN120124929a discloses dynamic maintenance of component-level digital assets, and by encoding associated design and construction data, model update is triggered based on real-time data stream prediction component qualification probability, improving consistency of digital models and physical entities. However, there are structural limitations in solving engineering problems of progress control and quality management coordination. The conventional scheme follows the conventional paradigm of unidirectional data driven or static mapping, failing to build a bi-directional, dynamic, quantized coupling relationship between progress execution state and quality acceptance results. For example, while the aforementioned safety precaution schemes can identify risks, they do not causally correlate risk events (e.g., process delays) with quality formation conditions (e.g., base maintenance time window) of subsequent processes, while asset update schemes can synchronize models, they lack a mechanism to trigger and optimize subsequent schedule in reverse based on quality measured data (e.g., insufficient compactness). The prior art lacks a complete control theory closed loop capable of running through progress to quality verification, deviation diagnosis, model correction and rearrangement. The progress and the quality are still in parallel or post-remedied in the management logic and the data flow, the collaborative sensing, the causal tracing and the linkage tuning cannot be carried out at the initial stage of deviation occurrence, and the dynamic challenges brought by multi-station intersection, strict resource constraint and sensitive quality window in complex highway engineering construction are difficult to deal with. Therefore, how to construct an integrated intelligent management and control mechanism capable of realizing progress and quality depth coupling, real-time linkage and automatic correction under a BIM-digital twin framework becomes a technical bottleneck to be broken through in the art. Disclosure of Invention The invention discloses a method and a device for controlling the BIM-digital twin integrated progress quality linkage of highway construction, which solve the problem that the progress plan and engineering quality in the prior art lack of a bidirectional dynamic coupling and closed-loop feedback mechanism under a BIM-digital twin framework. In order to solve the technical problems, the invention adopts the following technical scheme: the invention provides a highway construction BIM-digital twin integrated progress quality linkage control method, which comprises the following steps: constructing a progress-quality joint state space model taking a BIM component as a basic unit, wherein the BIM component is uniquely identified through IfcGloballyUniqueId defined by an ISO12006-2 standard and is associated with a four-tuple state vector: ; Wherein: For a theoretical completion time stamp of the component in the schedule, In order to actually complete the time stamp,A set of quality index thresholds specified for the design specification,A comprehensive quality score calculated based on the field measured data; step two, deploying a five-membered cooperative control framework consisting of a progress driving engine, a quality verification engine, a deviation analysis engine, a model correction engine and a plan rearrangement engine, wherein each engine realizes state synchronization and instruction interaction through a unified data bus; step three, the progress driving engine dynamically generates a procedure execution instruction stream ba