Content area
To better understand the temperature changes in face slab concrete and address challenges such as delayed curing and outdated methods in complex and variable environments, this study investigates the use of visualization and real-time feedback control in concrete construction. The conducted study systematically develops an intelligent curing control system for face slab concrete based on multi-source measured data. A tailored multi-source data acquisition scheme was proposed, supported by an IoT-based transmission framework. Cloud-based data analysis and feedback control mechanisms were implemented, along with a decoupled front-end and back-end system platform. This platform integrates essential functions such as two-way communication with gateway devices, data processing and analysis, system visualization, and intelligent curing control. In conjunction with the ongoing Maerdang concrete face rockfill dam (CFRD) project, located in a high-altitude, cold-climate region, an intelligent curing system platform for face slab concrete was developed. The platform enables three core visualization functions: (1) monitoring the pouring progress of face slab concrete, (2) the early warning and prediction of temperature exceedance, and (3) dynamic feedback and adjustment of curing measures. The research outcomes were successfully applied to the intelligent curing of the Maerdang face slab concrete, providing both theoretical insight and practical support for achieving scientific and precise curing control.
Details
Wireless communications;
Dams;
Data acquisition;
Construction accidents & safety;
Humidity;
Data processing;
High altitude;
Control systems;
Concrete construction;
Concrete slabs;
Quality control;
Data analysis;
Feedback;
Monitoring;
Hydration;
Energy consumption;
Internet of Things;
Smart cities;
Damsites;
Concrete curing;
Digital twins;
Sensors;
Rockfill dams;
Real time;
Feedback control;
Data transmission;
Visualization;
Information management
; Fang Yuanyuan 1 ; Liang Zhipeng 1
; Li, Dongfeng 2 ; Zhao Chunju 1
; Zhou, Huawei 1
; Wang, Fang 1 ; Lei, Lei 1 ; Wang, Rui 1 ; Kong Dehang 1 ; Tianbai, Pei 1 ; Zhou Luyao 1 1 Key Laboratory of Health Intelligent Perception and Ecological Restoration of River and Lake, Ministry of Education, Hubei University of Technology, Wuhan 430068, China; [email protected] (Y.Z.); [email protected] (Y.F.); [email protected] (C.Z.); [email protected] (H.Z.); [email protected] (F.W.); [email protected] (L.L.); [email protected] (R.W.); [email protected] (D.K.); [email protected] (T.P.); [email protected] (L.Z.), School of Civil Engineering, Architecture & the Environment, Hubei University of Technology, Wuhan 430068, China
2 Sinohydro Bureau 3 Co., Ltd., PowerChina, Xi’an 710024, China; [email protected]