Moving-average calculations for real-time concrete temperature monitoring

doi:10.16511/j.cnki.qhdxxb.2020.26.40

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Abstract Real-time temperature monitoring data quality is important for intelligent concrete cooling control. This paper presents a moving-average method for real-time concrete temperature monitoring data which extends the traditional moving average to multiple dimensions including time, space, and quality. Dynamic analyses of the raw data average in the intelligent concrete cooling control system provide temperature data that characterize the conditions at a given moment, spatial location, or object, which significantly reduces the effects of systematic and random errors in the raw data and reduces data distortion caused by instrument failures, sudden environmental changes and other effects. This method then reduces the impact of data errors on subsequent data calculations, simulations, and analyses. Analysis of real-time concrete temperature monitoring data from the Baihetan and Wudongde arch dams shows the advantages of this method for improving the monitoring system, data quality, and decision-making ability of management personnel. The results then provide a reference for concrete temperature control system design and quality evaluations.

Keywords mass concrete intelligent cooling control temperature monitoring moving average data analysis

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Issue Date: 08 June 2021

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	NING Zeyu
	LIN Peng
	PENG Haoyang
	WANG Zhilin
	CHEN Wenfu
	TAN Yaosheng
	ZHOU Tiangang

Cite this article:

NING Zeyu,LIN Peng,PENG Haoyang, et al. Moving-average calculations for real-time concrete temperature monitoring[J]. Journal of Tsinghua University(Science and Technology), 2021, 61(7): 681-687.

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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2020.26.40 OR http://jst.tsinghuajournals.com/EN/Y2021/V61/I7/681

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