Journal of Yangtze River Scientific Research Institute ›› 2024, Vol. 41 ›› Issue (1): 196-202.DOI: 10.11988/ckyyb.20221106

• Water Conservancy Informatization • Previous Articles    

A Method of Automated Water Temperature Control for Large Volume Concrete

WANG Ming-tao1, ZHOU Hua1, ZHAO Qi2   

  1. 1. College of Big Data and Information Engineering, Guizhou University, Guiyang 550025, China;
    2. College of Mechanical Electronical and Engineering, Guizhou Minzu University,Guiyang 550025, China
  • Received:2022-08-29 Revised:2022-12-03 Online:2024-01-01 Published:2024-01-15

Abstract: To automatically control the water temperature of mass concrete during construction, we designed an innovative industrial control platform using the self-adaptive cascade fuzzy control algorithm based on the Technical Specification for Temperature Measurement and Control of Bulk Concrete (GB/T 51028-2015). The hardware platform includes a control cabinet, water mixing device, and temperature collection network, which perform the calculation, execution, and collection tasks respectively. For the first time, the self-adaptive fuzzy control is applied to the temperature control of mass concrete. It integrates and combines three key parameters, namely, the temperature difference between concrete lining and surface, temperature change rate, and inlet water temperature, for two-level fuzzy reasoning. The reasoning results are then utilized to control the mixing ratio of return water and cold water through two flow valves. This ensures the production of mixed water that meets the temperature standard, which is then pressed into the pre-laid cooling pipes to regulate the concrete temperature in real-time. Modeling simulation and engineering practice have validated that this control strategy maintains the temperature difference between the internal concrete temperature and the inlet water temperature below 25 ℃, effectively suppressing the temperature rise of the concrete. The simulation shows a concrete cooling rate of 1.69 ℃/day, while in actual engineering application, the cooling rates recorded are 1.59 and 1.56 ℃/day, which are below the upper warning threshold of 2 ℃/day. Consequently, both the simulation results and the data from actual engineering support the effectiveness of this control platform.

Key words: mass concrete, automation, water temperature control, fuzzy control, simulation of concrete temperature control

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