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作 者:李嵘 郑庆红[2] 王晓瑜 LI Rong;ZHENG Qinghong;WANG Xiaoyu(Xi'an ANJU ZHUCHENG Construction Technology Group Co.,Ltd.,Xi'an 710000,China;School of Building Services Science and Engineering,Xi'an University of Architecture and Technology,Xi'an 710055,China;Electronic Engineering College,Xi'an Aeronautical University,Xi'an 710077,China)
机构地区:[1]西安安居筑城建筑科技集团有限公司,陕西西安710000 [2]西安建筑科技大学建筑设备科学与工程学院,陕西西安710055 [3]西安航空学院,电子工程学院,陕西西安710077
出 处:《微型电脑应用》2023年第10期23-26,共4页Microcomputer Applications
基 金:陕西本科和高等继续教育教学改革研究项目(21BY165);陕西省省级线下一流课程(陕教(2021)107号)。
摘 要:为了提高中深层地热能供热潜力评估性能,提出了一种基于改进大数据频繁项集挖掘算法的中深层地热能供热潜力评估方法。利用普通类间距离和准则、加权类间距离和准则,挖掘出用于供暖潜能评估的频繁项集条件模式基,将条件FG-tree视为一种递推处理过程,挖掘中深层地热能供热潜力数据的频繁项集。利用单位供热量能量消耗指标和能量效率指标,分析了地热能供热的能量,通过[火用]效率指标和能级平衡系数指标,实现中深层地热能供热潜力评估。实验结果表明,所提出的方法能够评估中深层地热能供热潜力,并具有更高的评估效率。In order to improve the evaluation performance of geothermal heating potential in the middle and deep layers,an evaluation method of geothermal heating potential in the middle and deep layers based on improved big data frequent itemsets mining algorithm is proposed.Based on the general and weighted inter-class distance sum criteria,the conditional pattern base of frequent itemsets for heating potential evaluation is mined,and the conditional FG-tree is regarded as a recursive processing process to mine the frequent itemsets of geothermal heating potential data in the middle and deep layers.Based on the energy consumption index and energy efficiency index of unit heat supply,the energy of geothermal energy heating is analyzed,and through the exergic efficiency index and energy level balance coefficient index,the geothermal energy heating potential evaluation is realized.The experimental results show that the method can evaluate the heating potential of middle and deep geothermal energy,and has higher evaluation efficiency.
关 键 词:大数据频繁项集 类间距离 供热潜力 [火用]效率 地热能
分 类 号:P314[天文地球—固体地球物理学]
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