Quality whole-process traceability early warning intelligent control system based on internet of things

By using an IoT system to achieve full-process quality traceability and early warning of ALC wall panel construction, the problems of manual monitoring errors and data dispersion have been solved, enabling accurate identification and timely early warning, and improving the systematicness and efficiency of construction quality control.

CN122179446APending Publication Date: 2026-06-09深圳市宏源茂实业有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
深圳市宏源茂实业有限公司
Filing Date
2026-02-09
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

In the current ALC wall panel construction process, quality monitoring relies on manual operation, data records are scattered and prone to errors, quality information of each construction node lacks effective correlation, making it difficult to trace the root cause, waterproofing construction is inefficient and prone to overlooking hidden dangers, electromechanical pipelines and wall panel installation lack accurate data support, and traditional quality control models lack safety guarantees and systematicity.

Method used

The system adopts an IoT-based intelligent control system for quality traceability and early warning throughout the entire process. It includes a perception layer, a transmission layer, a data processing layer, and an application layer. It collects quality characterization data through sensors, utilizes multi-protocol communication and encrypted data transmission, and combines machine learning algorithms to identify anomalies and trace their origins, thereby achieving real-time monitoring, early warning, and digital management.

Benefits of technology

It enables the automatic collection and continuous transmission of quality data throughout the entire construction process, reducing errors from manual monitoring, ensuring data security, accurately identifying quality anomalies, providing timely warnings, improving the efficiency and consistency of construction quality control, reducing rework, and providing reliable traceability support.

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Abstract

The application provides a quality whole-process traceability early warning intelligent control system based on Internet of Things, and belongs to the technical field of Internet of Things and control. The system comprises a sensing layer, a transmission layer, a data processing layer and an application layer which are sequentially and communicatively connected, and is matched with a BIM data interaction module and a waterproof performance detection module. The sensing layer collects quality data related to the whole-process ALC wallboard construction and closed water test, the transmission layer encrypts and real-time transmits the data, the data processing layer pre-processes the data, extracts features, compares standards to identify abnormalities and binds traceability information, and the application layer realizes monitoring display, traceability query, abnormal early warning and digital acceptance. The system realizes automatic control of the whole-process construction quality, improves the data acquisition accuracy and abnormal identification accuracy, guarantees the traceability and controllability of the quality, optimizes the construction process and reduces the quality hidden danger.
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