针对现场施工数据冗余对日降温速率与通水参数的关联关系分析产生干扰的问题,建立了中期通水冷却参数关联规则挖掘的模型。首先确定日降温速率的主要影响因素,然后通过该模型从大坝温度历史监测数据中挖掘出定量的关联规则,确定主要调控的参数从而优化调整中期通水冷却措施。结果表明:为达到中期降温阶段日降温速率的要求,通水温度宜控制在(14.6,14.8]℃内,混凝土初始温度宜控制在(17.7,18.5]℃内,通水流量宜控制在(15.0,22.5]L/min内;并应该重点调控通水流量,在设置冷却通水流量的初始值时可将其预先设定在(15.0,22.5] L/min范围内。研究成果对于制定中期冷却通水措施具有指导价值
Abstract
A model of association rule mining for the mid-term water cooling parameters is established to tackle the interference of redundant construction data on analyzing the correlation between daily cooling rate and water-cooling parameters. First, the main factors affecting the daily cooling rate are determined, and then the quantitative association rules are extracted from the history monitoring data of dam temperature. On such basis, the main control parameters are determined so as to optimize the mid-term water cooling measures. Results suggest that the water-cooling temperature should be controlled within (14.6,14.8]℃ so as to meet requirements, the initial temperature of concrete should be in (17.7,18.5]℃, and water flow rate between (15.0,22.5] L/min. Water flow rate should be regarded as control focus, so the initial value of cooling flow rate can be preset as within (15.0,22.5] L/min. The research finding is of guiding significance for deciding mid-term cooling measures.
关键词
混凝土温度控制 /
中期通水冷却 /
降温速率 /
数据挖掘 /
关联规则 /
溪洛渡拱坝
Key words
temperature control of concrete /
mid-term cooling phase /
cooling rate /
data mining /
association rules /
Xiluodu arch dam
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基金
国家自然科学基金面上项目(51779131)
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