Method for detecting compressive strength of building concrete component based on multi-technology fusion

By integrating multiple technologies and deep learning models, combined with edge computing and digital twin technologies, the problem of environmental interference in concrete component testing has been solved, achieving high-precision, full-lifecycle strength testing and traceability, and improving testing efficiency and reliability.

CN121935544BActive Publication Date: 2026-07-10HENAN ZHUBANG CONSTR ENG TESTING RES INST CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HENAN ZHUBANG CONSTR ENG TESTING RES INST CO LTD
Filing Date
2026-01-20
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

Existing technologies for testing the compressive strength of concrete components are easily affected by factors such as ambient temperature, humidity, and surface flatness, making it difficult to guarantee testing accuracy, especially for high-strength and irregularly shaped concrete components.

Method used

A multi-technology fusion approach is adopted, including multi-dimensional detection data such as ultrasound, rebound, electromagnetic induction, and infrared thermal imaging. Deep features are extracted through convolutional neural networks, a deep learning feature fusion model is constructed, and dynamic calibration is performed by combining edge computing and cloud big data to generate the optimal detection path. Genetic algorithms are used to identify defects and perform secondary compensation. Finally, the intensity prediction and traceability of the entire life cycle are realized through a digital twin model.

Benefits of technology

It effectively eliminates the influence of environmental interference factors, improves the reliability of test results, realizes dynamic prediction and traceability throughout the entire life cycle, reduces human operation errors, and improves detection efficiency and accuracy.

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Abstract

The application discloses a building concrete component compressive strength detection method based on multi-technology fusion and belongs to the technical field of concrete components. The building concrete component compressive strength detection method based on multi-technology fusion comprises the following steps: collecting multi-dimensional detection data; obtaining a characteristic vector; obtaining a fusion feature; obtaining a preliminary compressive strength result; optimizing deep learning feature fusion model parameters; constructing a concrete component digital twin model, realizing strength dynamic prediction and tracing; obtaining a final detection result; and displaying through a visual terminal. The application solves the problem that the prior art is prone to causing difficulty in guaranteeing the detection precision of high-strength and special-shaped concrete components, effectively eliminates the influence of interference factors such as environmental temperature, component moisture content and detection angle on the detection result, greatly improves the reliability of the detection result, can fully show the evolution process of the component strength, greatly reduces human operation errors and improves the detection efficiency.
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