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市場調查報告書

智慧城市平台:智慧城市的智慧型核心

Smart City Platforms: The Intelligent Core of Smart Cities

出版商 Beecham Research Ltd 商品編碼 339549
出版日期 內容資訊 英文 25 Pages
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智慧城市平台:智慧城市的智慧型核心 Smart City Platforms: The Intelligent Core of Smart Cities
出版日期: 2015年07月21日 內容資訊: 英文 25 Pages
簡介

智慧城市計劃將城市由複數的系統構成1個系統並轉移到全面性的方法。這個方法,雖然是進行各系統的管理、控制,需要也控制系統間的互動之跨領域智慧型層級 (城市的營運系統) 。

本報告提供智慧城市的整體方法和IoT平台的智慧型層級可能性的相關調查、智慧城市結構、智慧城市計劃的成功因素、智慧城市的結構技術、各種技術的智慧城市平台的概念與其引進、M2M與IoT的比較、主要的舉措與供應商、主要的計劃範例等彙整資料。

簡介

智慧城市計劃的全體論的見解

  • 以複數系統構成的系統的城市
  • 政治、政策、經濟
  • 智慧城市計劃的成功因素
    • 資金籌措
    • 動機與支援
    • 所有權的課題與負責部門的參加
    • 由於市民的參加和隱私
  • 智慧城市平台概念的引進

智慧城市技術和智慧城市平台

  • IoT環境的城市
  • 分散式情報
  • 通訊網
  • 低功率網路
  • 連網型設備和感測器
  • 資料分析
  • 安全
  • 智慧城市平台的架構

智慧城市平台:舉措和供應商

  • 相關利益者概要
  • 演示
  • 城市的計劃
  • 智慧城市平台供應商
  • 標準化

總論

目錄

Smart city projects are moving towards a holistic view of the city, with the city seen as a system of systems. This view requires an horizontal intelligent layer -- a city operation system -- that enables the management and control of the systems, but also the management of the interactions among different systems. This report explores how IoT platforms can become that horizontal intelligent layer on which applications can be developed and data gathered, analysed and exploited.

This 25-page report examines how the smart cities concept is evolving towards a smart.

EXECUTIVE SUMMARY

Towards Cities as loT Environments

Since its beginning, the debate on the smart city has waved between a vertical approach and a holistic approach to cities. The vertical approach looks at the smart city project with a focus on solving specific city problems such as traffic and pollution. Several projects on smart parking and pollution monitoring can be seen in that way. Those reflect an M2M approach to the city, solving specific problem dealing with a specific set of data.

By contrast, the holistic, or horizontal, approach looks at the city as a system of systems. In this case, the Internet of Things vision is applied to the city. Here, the city is composed of different systems - transport, waste, water and so on. Each system produces different sources of data. Those sources can be integrated, enabling a systemic view of the city, and thence a systemic approach to city problem solving. The data produced is also used to develop applications, and those applications are used to solve city issues and provide better services to Citizens.

As the industry is moving from an M2M-centric approach towards an loT-centric approach, from vertical to horizontal, smart city projects based on the vertical approach tend to become more horizontal, bringing together different systems such as using sensors for parking, surveillance, and waste management at the same time. In other words, a move towards the holistic approach in smart city design and deployment can be observed. In this move, the need for middleware enabler platforms becomes greater. While M2M platforms - Beecham Research uses the term Service Enablement Service (SES) Platform -are appropriate for specific applications, a holistic approach to the smart city requires an loT Platform able to manage different technologies and devices, and enable different applications and services for different systems of the city. We call this platform the “City Platforms”.

Introducing Smart City Plattorms.

A smart city platform can be defined as a framework for sensing, for communications, for integration, and for intelligent decision making. The Internet of Things will be central to this structure, being made up of a multiplicity of diverse use applications.

A smart city aims to provide a unified platform for city operations and services. M2M technology is well established in several industries, particularly transportation and industrial automation. In contrast with industrial M2M and IoT projects however, cities have a far broader range of requirements and application types. This raises challenges in terms of resources and skillsets.

There is no fully smart city yet in existence. However the ultimate aim of a smart city is an entity that will be sensing to all environmental stimuli, with the ability to connect all these up and respond like a living organism. The response will take the form of delivering up to the minute information and services that citizens need, based on the information received. By providing on-line information in real time, cities can optimise the use of resources for various operations e.g. parking, traffic management, lighting, all with the aim of improving efficiencies and reducing costs.

M2M-based applications have evolved from systems that connect remote assets for monitoring purposes, to an ever widening range of applications. These applications are however mostly not connected to each other. The concept of a smart city infrastructure will bring together a range of diverse applications all under the same umbrella, into ‘smart spaces’.

Smart City ‘smart spaces’ will be orders of magnitude more complex than an M2M implementation; they are tending towards multiservice environments that range beyond enterprise processes, or single M2M- based monitoring implementations. They must be of industrial strength, scalable, not only able to scale to accommodate and process more data of the same type, but also from a variety of sources and of different types.

This complex set of applications is possible if key technologies are brought together through the smart city platform as shown in Figure 1.


Figure 1. Smart City Technologies and the Cenrality of
the Smart City Platform

This report, largely based on interviews with smart city platform vendors and holistic smart city projects, will explore the role of the Smart City Platform in current smart city design and deployments.

Table of Contents

List of Figures:

  • Figure 1. Smart City as an Intelligent System of Systems
  • Figure 2. Smart City Sucess Factors
  • Figure 3. The Concept of Smart City Platform
  • Figure 4. Smart City Technologies and the Certrality of Smart City Platform
  • Figure 5. The Balance between Cloud Edge and Edge Computing
  • Figure 6. The Diversity of Data Sources in the Smart City
  • Figure 7. Smart City Platform - Architecture Reference Model

List of Tables:

  • Table 8. Ongoing Demonstrator Projects in Europe
  • Table 9. Actual Projects Around the world
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