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2017 Smart City Symposium Prague (SCSP)最新文献

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Smart building monitoring from structure to indoor environment 从结构到室内环境的智能楼宇监控
Pub Date : 2017-05-01 DOI: 10.1109/SCSP.2017.7973859
J. Včelák, A. Vodička, M. Maska, J. Mrňa
Buildings became complex systems where there are various technologies integrated together and thus should work as a single system. Modern building has several monitoring and control systems which should cooperate together to achieve energy saving while keeping indoor comfort and healthy environment. The overall building management systems (BMS) provides an integrated way to gather data from the building and issue control commands to the installed technology. The parameters that are monitored in modern buildings are not only temperature and humidity but todays buildings monitor also concentration values of CO2 or volatile organic compounds (VOC). The experience from last decades shows necessity to monitor also the structure of the building. Renewable materials (wood) are today often used for building construction. This material is quite sensitive to environmental factors like humidity and the environment has to be monitored in order to avoid structural health problems in future. Specially timber when exposed to humidity or moisture can degrade quite quickly and can lose load capacity. Modern communication technologies allows installation of many sensors directly into the structure which allows continuous monitoring of the building construction as well as the indoor climate in the building. Internet of Things (IoT) allows new communication technologies providing low cost, low power sensor application within smartcity sector.
建筑变成了复杂的系统,各种技术集成在一起,因此应该作为一个单一的系统工作。现代建筑需要多个监控系统协同工作,在保持室内舒适和健康环境的同时实现节能。整体建筑管理系统(BMS)提供了一种从建筑物收集数据并向安装的技术发出控制命令的集成方式。在现代建筑中监测的参数不仅是温度和湿度,而且今天的建筑物还监测二氧化碳或挥发性有机化合物(VOC)的浓度值。过去几十年的经验表明,有必要对建筑物的结构进行监测。可再生材料(木材)现在经常用于建筑施工。这种材料对湿度等环境因素非常敏感,为了避免将来出现结构健康问题,必须对环境进行监测。特别是木材,当暴露在湿度或湿气可以降解相当快,可以失去负载能力。现代通信技术允许将许多传感器直接安装到结构中,从而可以连续监测建筑结构以及建筑中的室内气候。物联网(IoT)允许新的通信技术在智能城市领域提供低成本,低功耗的传感器应用。
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引用次数: 21
Relative importance for crime prevention technologies as part of smart city based on spatial information 预防犯罪技术作为基于空间信息的智慧城市的一部分的相对重要性
Pub Date : 2017-05-01 DOI: 10.1109/SCSP.2017.7973838
Cho Woochul, Na JoonYeop
The orders of priority about the intelligent crime prevention technologies & system based on spatial information(e.g. Positioning System, CCTV Technology, Integrated Management System) are constructed for integrated management in Testbed(Crime-Zero Zone) of Smart City. And the priority of crime prevention technologies related with spatial information is deduced using relative importance by professional masters in local government & research institute & private company. This study has meanings that deduced the relative importance by AHP about the intelligent crime prevention technology & system, to apply to Testbed by surveying to local government employee in CCTV control center & professor/researcher in research institute & specialty development company worker at positioning system, and CCTV technology. This study is performed pre-research for constructing the Crime-Zero Zone(T/B). Henceforward, when Crime-Zero Zone is constructed, this study is used a useful research material for technology application and detail scenario establishment.
基于空间信息的智能犯罪预防技术与系统的优先顺序。为实现智慧城市试验台(零犯罪区)的综合管理,构建了定位系统、闭路电视技术、综合管理系统。并由地方政府、科研院所和民营企业的专业专家运用相对重要性推导出与空间信息相关的犯罪预防技术的优先级。本研究对于运用层次分析法推导出智能犯罪预防技术与系统的相对重要性,对CCTV控制中心的地方政府工作人员、科研院所的教授/研究人员、专业开发公司的定位系统工作人员、CCTV技术进行调查应用于试验台具有一定的意义。本研究为构建零犯罪区(T/B)进行前期研究。因此,在构建零犯罪区时,本研究为技术应用和细节场景的建立提供了有益的研究材料。
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引用次数: 3
Increasing efficiency of getting results of satellite remote sensing for smart cities 提高智慧城市卫星遥感获取结果的效率
Pub Date : 2017-05-01 DOI: 10.1109/SCSP.2017.7973854
B. Kucherov, O. Přibyl, V. Artyushenko
Satellite Earth remote sensing data are widely used in Smart Cities in various areas, such as energy industry, transportation area, or disaster monitoring. Real time remote sensing data from some region could help to parry various extraordinary (emergency) situations (forest fires, floods, emergency situations on roads, etc.). It could be used in control centers to support decision making able to promptly inform citizens about current situation. In order to have the actual data, it is necessary to perform Earth observations as soon as possible after an emergency situation arises. But before the data from a satellite can be provided for its processing, a number of tasks must be solved. One of such tasks is changing a schedule of tracking, telemetry and command (TT&C) ground stations to carry out a communication session with remote sensing satellite for sending on it program of target equipment work (to observe the region and downlink sensing data to receiving ground stations). In this paper, the authors propose approaches to increase the efficiency of changing a schedule of TT&C ground station in order to increase the efficiency of getting satellite remote sensing data. Such issues as organization information exchanges between subscribers, prompt notification of planning department specialist about changing the current situation, increase efficiency of including in schedule additional communication sessions, the informative representation of data about current situation are discussed. The proposed approaches can increase the efficiency and reasonableness of the decision making in control centers to parry various extraordinary (emergency) situations. In turn, it can make cities more sustainable and safe, in other words smart.
卫星地球遥感数据广泛应用于智慧城市的各个领域,如能源行业、交通领域、灾害监测等。来自某些区域的实时遥感数据可以帮助避免各种非常(紧急)情况(森林火灾、洪水、道路紧急情况等)。它可以用于控制中心,以支持决策,能够及时向公民通报当前情况。为了获得实际数据,必须在紧急情况出现后尽快进行对地观测。但是,在提供卫星数据供其处理之前,必须解决一些任务。其中一项任务是改变跟踪、遥测和指挥(TT&C)地面站的时间表,与遥感卫星进行通信会话,以发送目标设备工作的程序(观察该区域并将传感数据下行到接收地面站)。为了提高卫星遥感数据的获取效率,本文提出了提高测控地面站调度效率的方法。讨论了订户之间的组织信息交换、计划部门专家对当前情况变化的及时通知、在计划中增加额外的通信会话以提高效率、当前情况数据的信息表示等问题。所提出的方法可以提高控制中心决策的效率和合理性,以应对各种异常(紧急)情况。反过来,它可以使城市更可持续,更安全,换句话说,更智能。
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引用次数: 10
Analysis of discrete data from traffic accidents 交通事故离散数据的分析
Pub Date : 2017-05-01 DOI: 10.1109/SCSP.2017.7973843
P. Pecherková, I. Nagy
This paper deals with the data analysis of traffic accidents. Traffic accidents can be caused by different reasons, e.g., by watchfulness of a driver, failure of a vehicle, bad structural arrangements, etc. The aim of this paper is to investigate seriousness of incidents in dependence on different circumstances of an accident. Description of these circumstances leads to the use of a high number of different variables (about 50 variables), which are mostly discrete. The majority of statistical methods dealing with discrete variables use a frequency table. This is not suitable for traffic data because of a huge dimension. In this paper, several methods are proposed for solution to the problem with high-dimensional traffic data.
本文研究的是交通事故的数据分析。交通意外可由不同的原因引起,例如驾驶者的警觉、车辆的故障、结构安排不当等。本文的目的是调查事件的严重性依赖于事故的不同情况。对这些情况的描述导致使用大量不同的变量(大约50个变量),这些变量大多是离散的。处理离散变量的大多数统计方法都使用频率表。这对于交通数据来说是不适合的,因为它的维度非常大。本文提出了几种解决高维交通数据问题的方法。
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引用次数: 7
Incorporating stakeholder input in EU projects 在欧盟项目中纳入利益相关者的意见
Pub Date : 2017-05-01 DOI: 10.1109/SCSP.2017.7973846
O. Přibyl, J. Vreeswijk, S. Hoadley, R. Blokpoel, T. Horak
The outputs of many large EU research projects that are aimed at improving life in cities and that of their residents, such as those funded under the Horizon 2020 programme, are often delivered by technology-oriented partners or research institutions that, although they are often a part of a heterogeneous consortia, may not be aware of the real-life dimension of the problem they are solving. This could be particularly troublesome in case a holistic solution should be delivered and is especially valid in case of Smart Cities related problems. In this paper we are proposing a methodology to overcome this issue while using the example of a real Horizon 2020 project MAVEN — Managing Automated Vehicles Enhances Network. The methodology is based on the system engineering approach and its application is illustrated on the first MAVEN stakeholder consultation workshop including its evaluation using the online tool Mentimeter. The proposed template can be used in other EU projects.
欧盟许多旨在改善城市生活及其居民生活的大型研究项目(如“地平线2020”计划资助的项目)的成果,往往是由以技术为导向的合作伙伴或研究机构提供的,这些合作伙伴或研究机构虽然往往是异质联盟的一部分,但可能没有意识到他们正在解决的问题的现实层面。在需要提供整体解决方案的情况下,这可能会特别麻烦,并且在智能城市相关问题的情况下尤其有效。在本文中,我们提出了一种方法来克服这个问题,同时使用了一个真实的地平线2020项目MAVEN -管理自动车辆增强网络的例子。该方法基于系统工程方法,其应用在第一次MAVEN利益相关者咨询研讨会上进行了说明,包括使用在线工具Mentimeter进行评估。拟议的模板可用于其他欧盟项目。
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引用次数: 0
Application of a smart load-control concept in a municipality building in city of Pilsen 智能负荷控制概念在皮尔森市市政大楼中的应用
Pub Date : 2017-05-01 DOI: 10.1109/SCSP.2017.7973862
Václav Mužik, Vladimir Vajnar, Z. Vostracký, P. Šlechta
Presented work gives a brief review in recent activities in the field of realization of the Smart City concept in city of Pilsen in the view of buildings load-control. Firstly a brief history of the cooperation between local government and other institutions is presented pointing out the idea of a remotely controlled municipality building such as school, offices and so on. Next the potential of electrical energy savings with the possibility of load-control is presented. For selection of the eligible building is created a methodology that respects the given data by the local government. Confirming preliminary measurements, used technology and output measurement are discussed later in the paper. In the end a global potential of the current cooperation is presented.
本文从建筑负荷控制的角度,简要回顾了最近在皮尔森市实现智慧城市概念领域的活动。首先简要介绍了地方政府与其他机构合作的历史,指出了远程控制市政建筑(如学校、办公室等)的想法。接下来介绍了电力节能的潜力和负荷控制的可能性。为了选择符合条件的建筑,我们创建了一种尊重当地政府给定数据的方法。本文还讨论了初步测量的确定、使用技术和输出测量。最后指出了当前合作的全球潜力。
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引用次数: 1
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2017 Smart City Symposium Prague (SCSP)
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