Smart City Control Room Dashboards: Big Data Infrastructure, from data to decision support

M. Marazzini, N. Mitolo, P. Nesi, M. Paolucci
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引用次数: 9

Abstract

Smart City Control Rooms are mainly focused on Dashboards which are in turn created by using the socalled Dashboard Builders tools or generated custom. For a city the production of Dashboards is not something that is performed once forever, and it is a continuous working task for improving city monitoring, to follow extraordinary events and/or activities, to monitor critical conditions and cases. Thus, relevant complexities are due to the data aggregation architecture and to the identification of modalities to present data and their identification, prediction, etc., to arrive at producing high level representations that can be used by decision makers. In this paper, the architecture of a Dashboard Builder for creating Smart City Control Rooms is presented. As a validation and test, it has been adopted for generating the dashboards in Florence city and other cities in Tuscany area. The solution proposed has been developed in the context of REPLICATE H2020 European Commission Flagship project on Smart City and Communities.
智慧城市控制室仪表板:大数据基础设施,从数据到决策支持
智能城市控制室主要关注仪表板,而仪表板则是通过使用所谓的仪表板生成器工具或自定义生成的。对于一个城市来说,仪表板的生产不是永远执行一次的事情,它是一个持续的工作任务,用于改善城市监控,跟踪异常事件和/或活动,监控关键情况和案例。因此,相关的复杂性是由于数据聚合体系结构和用于表示数据及其识别、预测等的模式的识别,以产生可供决策者使用的高级表示。本文介绍了用于创建智慧城市控制室的仪表板生成器的体系结构。作为验证和测试,它已被用于佛罗伦萨市和托斯卡纳地区其他城市的仪表板生成。提出的解决方案是在欧盟委员会关于智慧城市和社区的复制H2020旗舰项目的背景下开发的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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