Intelligent Sensing and Efficient Control Equipment for Cement Grouting Parameters

ZHAN Cheng-yuan, LIANG Lei, XU De-you

Journal of Changjiang River Scientific Research Institute ›› 2025, Vol. 42 ›› Issue (8) : 162-169.

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Journal of Changjiang River Scientific Research Institute ›› 2025, Vol. 42 ›› Issue (8) : 162-169. DOI: 10.11988/ckyyb.20240604
Water Conservancy Informatization

Intelligent Sensing and Efficient Control Equipment for Cement Grouting Parameters

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Abstract

[Objective] In water conservancy and hydropower engineering, grouting is a key construction process to ensure the stability and leakage safety of hydraulic retaining structures. However, traditional grouting monitoring equipment exhibits deficiencies in accuracy, level of intelligence, and construction efficiency. This study aims to achieve fully automated operation and early warning feedback control of the grouting process by innovatively designing a new generation of intelligent sensing and efficient control equipment for grouting parameters, thereby improving engineering management efficiency, construction quality, and safety. [Methods] This study designed an intelligent centralized slurry station, an intelligent pressure regulation and flushing device, an intelligent grouting control coordination center, and a digital grouting recording unit, and integrated them into a new generation of intelligent sensing and efficient control equipment for grouting parameters. Additionally, a multi-channel, user-friendly human-computer interaction interface based on multi-touch control was developed to realize the fully automated operation and unified coordination management of the grouting process, including slurry preparation, slurry delivery, pressure regulation, and grouting. [Results] Through experiments and practical engineering applications, this equipment was verified to achieve fully automated operation of the grouting process, significantly improving the accuracy and intelligence of grouting construction. By implementing early warning feedback control and unified coordination management functions during the grouting process, construction safety was effectively ensured, and project management efficiency was enhanced. Compared to traditional grouting monitoring equipment, construction efficiency was increased by more than 30%, and construction quality was significantly improved. [Conclusions] The new generation of intelligent sensing and efficient control equipment for grouting parameters shows remarkable effectiveness in the grouting construction of water conservancy and hydropower projects, achieving automated, intelligent, and efficient grouting process, providing strong support for high-quality project construction and showing broad application prospects.

Key words

digital grouting / intelligent sensing / efficient control and management / early-warning and feedback / quality management

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ZHAN Cheng-yuan , LIANG Lei , XU De-you. Intelligent Sensing and Efficient Control Equipment for Cement Grouting Parameters[J]. Journal of Changjiang River Scientific Research Institute. 2025, 42(8): 162-169 https://doi.org/10.11988/ckyyb.20240604

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In grouting pressure control, traditional alarming based on pressure threshold is sometimes erroneous and delayed. In view of this, a network monitoring alarming system for grouting pressure is developed based on the theory of Statistical Process Control (SPC). Fengning pumped storage power plant (stage I) in Hebei Province with a large amount of toe plate curtain grouting is taken as a case study. The system identifies the position of sampling points and the pressure change trend by monitoring the grouting pressure value through sampling and generates pressure control diagrams based on SPC. Moreover, different pressure judgment criteria for different stages of grouting are set. Hence, the monitoring, alarming, and prediction of grouting pressure can be accomplished. Compared with traditional pressure threshold alarming, the present system reduced the time-consumption of alarming by 25% while promotes the alarming efficiency by 8%. By integrating SPC and threshold algorithm, we could identify abnormal information in advance, favorable for grouting management and control.
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