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市場調查報告書

數位雙胞胎,智慧城市,城市建模

Digital Twins, Smart Cities, and Urban Modeling

出版商 ABI Research 商品編碼 910156
出版日期 內容資訊 英文 42 Pages
商品交期: 最快1-2個工作天內
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數位雙胞胎,智慧城市,城市建模 Digital Twins, Smart Cities, and Urban Modeling
出版日期: 2019年09月05日內容資訊: 英文 42 Pages
簡介

數位雙胞胎技術,在智慧城市環境擴大。

本報告含括城市的數位雙胞胎和關於城市建模的全方面,提供技術,使用案例,優點,供應商的簡介與案例研究,引進的課題,部署預測相關的系統性資訊。

第1章 智慧城市的數位雙胞胎的相關性

  • 智慧城市形勢的變化和建模的相關性
  • 城市的產業系統的設計和管理
  • 模式定義和種類
  • 建模技術和技巧
  • 城市建模的使用案例
  • 城市的數位雙胞胎的優點
  • 課題

第2章 企業與解決方案

  • Microsoft:Azure Digital Twins
  • Dassault Systemes
  • IES
  • ESRI
  • Autodesk
  • Bentley Systems
  • Siemens
  • Ansys
  • Locis
  • Open Geospatial Consortium (OGC)
  • PTC
  • PTV
  • NTT
  • CityzenitH

第3章 案例研究

  • 南洋理工大學
  • 虛擬 新加坡 3D模式
  • 鹿特丹
  • 劍橋
  • 波士頓
  • 齋浦爾
  • 阿馬拉瓦提
  • 紐卡斯爾
  • 斯德哥爾摩
  • 赫爾辛基

第4章 預測

目錄
Product Code: AN-5239

Digital twin techology is spreading from its industrial origins to the smart city environment where it allows a more holistic approach in terms of cross-vertical optimization of the design, management, and operation of urban infrastructure. Benefits include operational cost savings, energy efficiencies, increased resilience, improved sustainability, and a positive impact on economic growth. Digital twin solutiuons include spatial modeling of the built environment, mathematical models of electric and mechanical systems, and real-time sensor data (crowd)sourced from IoT platforms. Typcal use cases include flood risk modeling, multi-building energy management, renewable energy optimization, traffic flow optimization, occupancy tracking and evacuation simulations, and the generative design of city extensions.

This report covers all aspects of digital twins of cities and urban modeling more generaly in terms of technologies, use cases, benefits, technology vendor profiles and case studies, adoption challenges, and deployment forecasts.

Companies Mentioned:

  • ANSYS, Inc.
  • Autodesk
  • Azure
  • Bentley
  • PTC
  • PTV Group
  • Siemens
  • CityzenitH
  • Dassault Systèmes
  • ESRI
  • IES
  • Locis
  • Microsoft Corporation
  • NTT
  • Open Geospatial Consortium

TABLE OF CONTENTS

1. RELEVANCE OF DIGITAL TWINS FOR SMART CITIES

  • 1.1. Changing Smart Cities Landscape and Relevance of Modeling
  • 1.2. Designing and Managing Urban Industrial Systems
  • 1.3. Definitions and Types of Models
  • 1.4. Modeling Technologies and Techniques
  • 1.5. Urban Modeling Use Cases
  • 1.6. Benefits of Digital Twins for Cities
  • 1.7. Challenges

2. PLAYERS AND SOLUTIONS

  • 2.1. Microsoft: Azure Digital Twins
  • 2.2. Dassault Systemes
  • 2.3. IES
  • 2.4. ESRI
  • 2.5. Autodesk
  • 2.6. Bentley Systems
  • 2.7. Siemens
  • 2.8. Ansys
  • 2.9. Locis
  • 2.10. Open Geospatial Consortium (OGC)
  • 2.11. PTC
  • 2.12. PTV
  • 2.13. NTT (Nippon Telegraph and Telephone Corporation)
  • 2.14. CityzenitH

3. CASE STUDIES

  • 3.1. Nanyang Technological University
  • 3.2. Virtual Singapore 3D Model
  • 3.3. Rotterdam
  • 3.4. Cambridge
  • 3.5. Boston
  • 3.6. Jaipur
  • 3.7. Amaravati
  • 3.8. Newcastle
  • 3.9. Stockholm
  • 3.10. Helsinki

4. FORECASTS

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