CN-122021111-A - Deformation detection method and system for construction of large-scale community residential mixed structure

CN122021111ACN 122021111 ACN122021111 ACN 122021111ACN-122021111-A

Abstract

The application discloses a deformation detection method and a system for construction of a large-scale community residential mixed structure, and relates to the relevant field of intelligent construction, wherein the method comprises the steps of constructing a building digital twin model comprising an assembled structure and a cast-in-situ structure, and associating the building digital twin model with a construction progress plan; the method comprises the steps of deploying a multi-type sensor network at a key part of a structure, collecting strain, settlement, inclination angle and crack data in real time, uploading a multi-source monitoring data set to a cloud monitoring platform in real time, synchronizing the state of a digital twin model of a building according to the current construction stage, fusing the digital twin model of the building with the multi-source monitoring data set, synchronizing the virtual state and the real state of the structure, predicting the deformation trend of the structure, triggering multi-stage early warning, executing the processing decision of deformation and outputting a recommended decision. The application solves the technical problems of dynamic disjoint of the model and the construction working condition and insufficient real-time property and accuracy of deformation data in the existing construction deformation detection, and achieves the technical effects of real-time linkage of the model and the construction working condition and accurate and efficient acquisition and analysis of the deformation data.

Inventors

DENG FEI
HUANG KAI
LIU XIAOQIANG
WANG RENPENG
LV XIN
LIU QI
LIANG CHAO
YANG ZUXIAN
JIAN RUIFENG

Assignees

中交第四公路工程局有限公司
中交建筑集团有限公司

Dates

Publication Date: 20260512
Application Date: 20251222

Claims (8)

1. The deformation detection method for the construction of the large-scale community residential mixed structure is characterized by comprising the following steps of: Building a building digital twin model comprising an assembled structure and a cast-in-situ structure, and associating with a construction progress plan; Deploying a multi-type sensor network at a key part of the structure, and collecting strain, sedimentation, inclination angle and crack data in real time to form a multi-source monitoring data set; uploading the multi-source monitoring data set to a cloud monitoring platform in real time through an Internet of things communication module; In the cloud monitoring platform, the state synchronization is carried out on the building digital twin model according to the current construction stage, then the building digital twin model is fused with the multi-source monitoring data set, virtual-real synchronization of the structural state is carried out, the structural deformation trend is predicted, and multi-stage early warning is triggered when the structural deformation trend exceeds a preset threshold; and after the multi-stage early warning is triggered, executing the deformed processing decision and outputting a recommended decision.
2. The deformation detection method for construction of a large-scale community residential mixed structure according to claim 1, wherein building a digital twin model of a building comprising an assembled structure and a cast-in-place structure and being associated with a construction schedule comprises: Based on a designed BIM model, marking the joint part of the fabricated component and the cast-in-situ structure and layering and sectioning construction nodes, and constructing the building digital twin model; binding a time node and a load change stage in a construction progress plan with a construction state in the building digital twin model, wherein the bound building digital twin model can dynamically evolve along with the progress.
3. The deformation detection method for construction of a large-scale community residential mixed structure of claim 1, wherein the deployment of the multi-type sensor network at the key part of the structure comprises the following steps: Determining a stress concentration area, a deformation sensitive area and a construction joint part according to finite element analysis; Arranging the multi-type sensor network in the stress concentration area, the deformation sensitive area and the construction joint part; And acquiring strain, settlement, inclination angle and crack data through the multi-type sensor network to form the multi-source monitoring data set.
4. The method for detecting deformation of a large-scale group residence mixed structure construction according to claim 1, wherein in the cloud monitoring platform, after performing state synchronization on the building digital twin model according to the current construction stage, the method is fused with the multi-source monitoring data set, performs virtual-real synchronization on a structural state, predicts a structural deformation trend, and triggers multi-stage early warning when a preset threshold is exceeded, and comprises the following steps: Identifying the current construction stage, and activating the corresponding structural state and load condition in the building digital twin model; Mapping the multisource monitoring data set to an activated building digital twin model, and outputting a deformation development trend curve of a key part; And carrying out multi-stage early warning according to the deformation development trend curve.
5. The deformation detection method for large-scale residential mixed structure construction according to claim 4, wherein mapping the multi-source monitoring dataset to an activated building digital twin model, outputting a deformation development trend curve of a key part, comprises: Mapping the multi-source monitoring data set to the corresponding position of the activated building digital twin model, and performing data-model alignment to obtain a fused model; And based on the fused model, inputting a future construction stage plan and a predicted load, and outputting a deformation development trend curve of the key part.
6. The method for detecting deformation of a large-scale residential mixed structure construction according to claim 1, wherein the processing decision of deformation is performed after the multi-stage early warning is triggered, and the output recommendation decision comprises: reading the early warning type and the position, and matching the historical treatment cases from a plan library; screening the historical treatment cases according to the current construction stage, weather conditions and resource conditions to generate a plurality of treatment suggestions; And calling the building digital twin model to carry out simulation deduction on the treatment suggestions, evaluating the deformation control effect after treatment, screening the optimal suggestion, and generating the recommendation decision.
7. The method for detecting deformation of large-scale residential mixed structure construction according to claim 6, wherein the recommended decision comprises process adjustment, reinforcement measures and monitoring reinforcement information, and after the recommended decision is output, a decision execution process is taken into a monitoring item to track, the treatment effect is fed back in real time and a plan library is updated.
8. A deformation detection system for construction of a large-scale residential complex, the system being for implementing the deformation detection method for construction of a large-scale residential complex as claimed in any one of claims 1 to 7, the system comprising: The building digital twin model construction module is used for constructing a building digital twin model comprising an assembled structure and a cast-in-situ structure and is associated with a construction progress plan; The multi-source monitoring data acquisition module is used for deploying a multi-type sensor network at a key part of the structure, and acquiring strain, settlement, inclination angle and crack data in real time to form a multi-source monitoring data set; The data uploading module is used for uploading the multi-source monitoring data set to the cloud monitoring platform in real time through the Internet of things communication module; The structure deformation trend prediction module is used for carrying out state synchronization on the building digital twin model according to the current construction stage in the cloud monitoring platform, then fusing the building digital twin model with the multi-source monitoring data set, carrying out virtual-real synchronization of the structure state, predicting the structure deformation trend, and triggering multi-stage early warning when the structure deformation trend exceeds a preset threshold; and the recommendation decision output module is used for executing deformed processing decisions and outputting recommendation decisions after the multi-stage early warning is triggered.

Description

Deformation detection method and system for construction of large-scale community residential mixed structure Technical Field The application relates to the field of intelligent construction, in particular to a deformation detection method and system for construction of a large-scale community residential mixed structure. Background The large-scale group house mixed structure has the advantages of high efficiency of assembly type member construction and strong integrity of cast-in-situ structure, has become the main stream selection type of large-scale construction in the current building industry, and the structure deformation control in the construction process directly relates to the safety of a building main body, the construction progress and the later use durability, so that the structure deformation control is a core problem of urgent need of accurate control in the engineering construction field. The current mainstream technical method for detecting the deformation of the hybrid structure construction adopts the modes of off-line finite element simulation and fixed-point manual monitoring, specifically, the deformation trend is simulated by building a structure finite element model before construction, key part data are collected by manually and periodically using equipment such as a total station, a strain gauge and the like in construction, and then the structural state is judged by comparing a simulation value with an actual measurement value. In the existing method, the model is disjointed with the actual construction progress and the on-site load change, and the problems of low sampling frequency and data feedback lag exist in manual monitoring, so that the dynamic deformation characteristics of the junction part of the assembled component and the cast-in-situ structure cannot be captured in real time, and the hidden troubles of structural cracking, settlement, non-uniformity and the like are easily caused by untimely deformation early warning. In the related technology of the present stage, the construction deformation detection of the large-scale community residential mixed structure has the technical problems of dynamic disjoint of the model and the construction working condition and insufficient real-time property and accuracy of deformation data. Disclosure of Invention According to the deformation detection method and system for large-scale community house mixed structure construction, a construction digital twin model for constructing a fusion assembly type and cast-in-place structure is adopted, construction progress is associated, multi-type sensor networks are deployed at key parts of the structure to collect multi-source data such as strain and sedimentation, the data are uploaded to a cloud monitoring platform in real time through the Internet of things, the platform is combined with the state of the synchronous digital twin model at the current construction stage and the fusion monitoring data to realize virtual-real synchronization and forecast deformation trend, multi-stage early warning is triggered when a preset threshold value is exceeded, deformation processing decisions are executed after early warning triggering, recommended decisions are output, and the technical problems of dynamic disjoint of the model and construction working conditions and insufficient real-time property and accuracy of deformation data in the conventional large-scale community house mixed structure construction deformation detection are solved, and the technical effects of real-time linkage of the model and the construction working conditions and accurate and efficient acquisition and analysis of the deformation data are achieved. The application provides a deformation detection method for construction of a large-scale community residential mixed structure, which comprises the steps of constructing a building digital twin model comprising an assembled structure and a cast-in-situ structure, associating the building digital twin model with a construction progress plan, deploying a multi-type sensor network at a key part of the structure, collecting strain, settlement, inclination angle and crack data in real time to form a multi-source monitoring data set, uploading the multi-source monitoring data set to a cloud monitoring platform in real time through an Internet of things communication module, carrying out state synchronization on the building digital twin model according to a current construction stage in the cloud monitoring platform, fusing the building digital twin model with the multi-source monitoring data set, carrying out virtual-real synchronization of a structural state, predicting a structural deformation trend, triggering multi-stage early warning when the multi-stage early warning is exceeded a preset threshold, executing a deformed processing decision and outputting a recommended decision. In a possible implementation mode, building a building digital twin model comprising an assembled