作者：胡雨寒1, 曾九孙1, 王飞2, 郜传厚3
作者单位：1. 中国计量大学计量测试工程学院, 浙江 杭州 310018;
2. 华为技术有限公司, 广东 深圳 518129;
3. 浙江大学数学科学学院, 浙江 杭州 310027
关键词：智慧供热系统;供热效果评估;箱线图;快速导数动态时间规整
摘要：
随着智慧供热系统建设的不断推进，我国北方地区冬季供热的智能化水平得到重大提升。作为智慧供热系统实现智能化运行的基础，如何实现高效、精准的供热效果评估成为重要的研究课题。该文针对现有评估方法在快速性和准确性方面存在的缺陷，提出一种基于快速导数动态时间规整（fast derivative dynamic time warping，fddtw）的供热效果在线评估方法。利用箱线图获取最优参考供温曲线，再将终端用户室温计量装置实时采集到的数据进行滑窗处理，并利用fddtw计算当前窗口供温曲线和最优参考供温曲线之间的距离，通过fddtw评估得分判断当前供温效果是否满足实际要求。相较于传统的动态时间规整算法，该算法改善奇异性、提高效率，为智慧供热系统提供切实可行的供热效果在线评估方法。
online evaluation method of temperature supply effect of smart heating system based on fddtw
hu yuhan1, zeng jiusun1, wang fei2, gao chuanhou3
1. college of metrology and measurement engineering, china jiliang university, hangzhou 310018, china;
2. huawei technologies corporation limited, shenzhen 518129, china;
3. school of mathematical sciences, zhejiang university, hangzhou 310027, china
abstract: with the continuous advancement of the construction of smart heating systems, the level of smart heating in winter in northern my country has been greatly improved. as the basis for the intelligent operation of the smart heating system, how to achieve efficient and accurate heating effect evaluation has become an important research topic. aiming at the shortcomings of existing evaluation methods in terms of rapidity and accuracy, this paper proposes an online heating effect evaluation method based on fast derivative dynamic time warping (fddtw). first use the box plot to obtain the optimal reference temperature supply curve, and then process the real-time data collected by the end user room temperature metering device for sliding window processing, and use fddtw to calculate the distance between the current window temperature supply curve and the optimal reference temperature supply curve, judge whether the current heating effect meets the actual requirements through the fddtw evaluation score. compared with the traditional dynamic time warping algorithm, this algorithm improves the singularity and efficiency, and provides a feasible online heating effect evaluation method for the smart heating system.
keywords: smart heating system;heating effect evaluation;box plot;fast derivative dynamic time regulation
2023, 49(6):181-188 收稿日期: 2022-03-17;收到修改稿日期: 2022-04-18
基金项目: 国家重点研发计划资助项目（2018yff2014701）
作者简介: 胡雨寒(1998-),女,江西吉安市人,硕士研究生,专业方向为智慧供热大数据分析
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