Scaffold overall stability remote monitoring and evaluation system

By using a distributed inertial measurement sensor network and a digital twin model, the shortcomings of existing technologies in assessing the overall stability of scaffolding are addressed, enabling efficient and reliable remote monitoring and assessment, and reducing the risk of construction accidents.

CN122306149APending Publication Date: 2026-06-30TANGSHAN ZHONGKOU TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
TANGSHAN ZHONGKOU TECHNOLOGY CO LTD
Filing Date
2026-04-02
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing monitoring systems are unable to effectively extract the overall instability state of scaffolding under complex stress environments. Traditional sensor networks lack sufficient power supply stability and wireless communication anti-interference capabilities at construction sites, making it difficult to achieve accurate and continuous overall structural stability assessment.

Method used

A sensor array covering the entire scaffold space is constructed by employing a distributed inertial measurement sensor network, a dual-mode wireless communication device, a vibration energy self-powered component, an edge computing aggregation node, and a remote monitoring and evaluation server. This array captures dynamic response data in real time and performs stability assessment through spatial modal parameter identification and digital twin modeling.

Benefits of technology

It represents a leap from point-based monitoring to overall dynamic assessment, possessing high robustness and low maintenance costs. It can detect structural instability trends early, reduce accident risks, and provide scientific and accurate monitoring results.

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Abstract

This invention belongs to the field of building engineering monitoring technology, specifically relating to a remote monitoring and evaluation system for the overall stability of scaffolding. The system includes a distributed inertial measurement sensor network, a dual-mode wireless communication device, a vibration energy self-powered component, edge computing aggregation nodes, and a remote monitoring and evaluation server. The distributed network is deployed at key nodes to capture motion data; the self-powered component converts vibration energy into electrical energy; edge nodes preprocess the data; and the server uses algorithms to extract spatial modal parameters, identifying structural stiffness changes and evaluating stability by comparing modal fingerprint models with stability degradation models. This invention achieves a leap from point-based monitoring to overall dynamic evaluation, enabling early warning through monitoring modal fingerprint evolution, and improving the robustness, scientific rigor, and accuracy of monitoring in complex environments.
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