城市供水时空数据的异常模式可视分析方法研究  

Research on visual analysis method for anomaly patterns of urban water supply temporal-spatial data

作　　者：倪世海 饶金刚 许志 吴耀 孔佑雯 路强[2] NI Shihai;RAO Jingang;XU Zhi;WU Yao;KONG Youwen;LU Qiang(Huangshan Water Holdings Group Co.,Ltd.,Huangshan 245000,China;School of Com puter Science&Information Engineering,University of Technology,Hefei23060l,China)

机构地区：[1]黄山水务控股集团有限公司,黄山245000 [2]合肥工业大学计算机与信息学院,合肥230601

出　　处：《给水排水》2024年第3期25-31,共7页Water & Wastewater Engineering

基　　金：国家自然科学基金(61906061);安徽省智能建筑与建筑节能重点实验室(中心)开放基金(IBES2022KF03)。

摘　　要：时空数据的可视化被广泛应用于各行业领域,对于数据分析至关重要,但是传统的可视化方法在处理具有多维属性的城市供水时空数据时存在一定的局限性。首先,他们专注于某种数据格式的可视化,缺乏可扩展性。其次,它们无法提供多样化的类别可视化。为了应对这些挑战,提出了一种交互式方法用于直观展示与分析城市供水的时空数据,并开发了对应的可视化系统。该系统基于透镜策略设计了一种新的影响视图,这是一种用于聚合、抽象和简单化展示多元时空数据的方法,可实现供水时空数据的多元可视化、交互探索和分析,用于分析推断当前模式的隐含影响。并且该工具组装了一组有效的交互可视化,以支持状态监测、因素检查和级联搜索,促进了深入的级联分析。通过将时空数据与交互式可视化相结合的方式使分析人员能够推断和解释时空背景中的潜在级联模式。最后通过案例分析与用户评估验证所提方法与系统的有效性与实用性,结果表明所提方法能更好地协助使用者分析城市供水时空数据。The visualization of spatio-temporal data is widely used in various industries and is crucial for data analysis.However,traditional visualization methods have certain limitations when dealing with spatio-temporal data of urban water supply with multidimensional attributes.Firstly,they focus on visualizing a specific data format and lack scalability.Secondly,they do not provide diversified category visualization.To address these challenges,this paper proposes an interactive method for visualizing and analyzing spatio-temporal data of urban water supply and develops a corresponding visual analysis tool.This tool designs a new impact view based on the lens strategy,a method for aggregating,abstracting,and simplifying the presentation of multivariate spatio-temporal data.It can achieve multivariate visualization,interactive exploration,and analysis of water supply spatio-temporal data and is used to analyze and infer the implicit effects of the current pattern.This tool also assembles a set of effective interactive visualization to support state monitoring,factor checking,and cascading search,promoting in-depth cascading analysis.By combining spatio-temporal data with interactive visualization,analysts can infer and explain potential cascading patterns in spatio-temporal background.The paper provides a case study of accurate urban water supply data to demonstrate the effectiveness of the interactive analysis method.

关 键 词：可视分析 交互式可视化 供水系统 智慧水务 时空数据 

分 类 号：TU991[建筑科学—市政工程]