Blockchain-based methods and systems for traceability management of construction project quality and safety

CN122089166APending Publication Date: 2026-05-26SICHUAN ZHUOXIN HUITONG TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SICHUAN ZHUOXIN HUITONG TECH CO LTD
Filing Date
2026-04-21
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing methods for inspecting concrete structures are insufficient to accurately reflect the three-dimensional spatial information of internal abnormal areas, the identification of defect types is inaccurate, and the inspection data lacks a reliable traceability mechanism, posing a risk of data tampering or loss.

Method used

By constructing a three-dimensional image through ultrasonic detection, extracting geometric and acoustic feature parameters, matching them with a preset model, and combining probability analysis and reverse inference, a target data block is generated and recorded in the blockchain, thereby realizing automatic identification of defect types and full-process traceability.

Benefits of technology

It enables precise three-dimensional localization and classification of internal defects in concrete structures, quantitative assessment of their impact on bearing capacity, provides a reliable traceability mechanism, and ensures the authenticity and immutability of test data.

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Abstract

This application provides a blockchain-based method and system for traceability management of construction engineering quality and safety, relating to the field of engineering quality traceability technology. This application constructs a three-dimensional image by acquiring ultrasonic echo signals; extracts abnormal areas from the three-dimensional image and obtains geometric and acoustic characteristic parameters, matches them with a preset defect response model, determines the defect type and its quantitative impact on the structural bearing capacity, and associates this information with the unique identifier of the concrete structure to generate historical data blocks; constructs the association path between defect types and historical data blocks using probability analysis and reverse inference to determine the source data block leading to the defect; and collects the three-dimensional image, various parameters, defect type, quantitative impact value, and source data block identifier information to generate a target data block and record it on the blockchain. This enables accurate identification, quantitative assessment, causal tracing, and tamper-proof storage of data throughout the entire process of concrete internal defects.
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