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市場調查報告書

智能廢棄物管理的顛覆性創新

Disruptive Innovations in Smart Waste Management

出版商 Frost & Sullivan 商品編碼 883626
出版日期 內容資訊 英文 44 Pages
商品交期: 最快1-2個工作天內
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智能廢棄物管理的顛覆性創新 Disruptive Innovations in Smart Waste Management
出版日期: 2019年06月26日內容資訊: 英文 44 Pages
簡介

根據世界衛生組織 (WHO)的預測、2050年全球人口的68%會居住在城市、沿用的廢棄物管理方式與新技術的整合會是一大課題。

本報告是調查廢棄物管理系統與新技術的整合、廢棄物管理現在的課題與智能廢棄物管理的需求、智能廢棄物管理實現時主要的ICT、使用先進技術的廢棄物管理系統&解決方案、智能廢棄物管理的成功案例、以地域區分的建議、分析成長機會的綜合報告。

第1章 內容概要

第2章 智能廢棄物管理:概要

  • 形成廢棄物的上升程度與近代廢棄物管理戰略的需求
  • 低所得地區的廢棄物大量增加
  • 優化的根本與靜態數據的需求:有效的制衡廢棄物管理
  • IoT□ICT的引進:在廢棄物減量與回收上的重要性
  • 主要實現智能廢棄物管理的ICT:概述
  • 為了廢棄物管理的ICT解決方案:主要的技術開發趨勢
  • 智能廢棄物管理的組成

第3章 創新生態系統

  • 自動壓縮機管理系統的專用軟體
  • 專用廢棄產品分析平台的動態路由調度強化
  • 路由優化調度的蟻群優化技術
  • 基於智能分析的無感應器廢棄物回收管理
  • 高密度路線規劃的專用軟體
  • 專用太陽能廢棄物壓縮系統的雲交互系統
  • 用於動態路由優化的專用SaaS (Software As A Service) 解決方案
  • 特色創業公司

第4章 智能廢棄物管理的成功案例:學習專案

  • 根據產生地□回收場所的廢棄物再生強化所引進的廢棄物壓縮機
  • 根據產生的廢棄物分揀和傳感器基礎與再生站
  • 人員不足メ補よ集中型專用ЛиЬヨラヤШみю&ЗсみЬ機器
  • 廢棄物集裝箱卡車動態路線優化與智能廢棄物管理的整合
  • 通過傳感器系統整合智能垃圾桶和M2M通信
  • 智能廢棄物系統與內置分揀□回收□堆肥系統的整合
  • 智能廢棄物管理優化了廢棄物回收評綠

第5章 分析□成長機會

  • 建議:地區分
  • SWOT分析:智能廢棄物管理 (SWM)
  • 智能廢棄物管理 (SWM):對環境的影響
  • 中國□美國:佔有最大的專利申請數
  • 成長機會:眾包商業模式
  • 智能廢棄物管理:重點

第6章 接觸資訊

目錄
Product Code: D8AD

Technological Advancements in Smart Waste Collection and Processing Enabling Efficient Waste Management

Waste generation has been identified as the fast-growing problem causing significant environmental and health hazard owing to changing modern societies, especially in the urban regions of the world. Traditional waste management practices face significant challenges in terms of overflowing waste bins and ineffective route planning. With 68% of the world population estimated to live in urban regions by 2050, as per the World Health Organization (WHO), rapid urbanization is the factor warranting the integration of advanced technologies with traditional waste management methods. The modern infrastructure and capabilities offered by advancements in Information and Communication Technologies (ICT) offer coordination between physical and computational infrastructures. This can be leveraged by the waste management industry to overcome the existing challenges as well as provide newer opportunities. Automation with the aid of Internet of Things (IoT) and intelligent sensors coupled with advanced computing capabilities using cloud computing services has the potential to establish real-time connection with various entities of the waste management network.This research study identifies the need for smart waste management and how technological advancements in ICT sector can aid in mitigating challenges with existing waste management methods.

Table of Contents

1.0. Executive Summary

  • 1.1. Research Scope
  • 1.2. Research Process and Methodology
  • 1.3. Key Findings

2.0. Overview of Smart Waste Management

  • 2.1. Growing Waste Generation Levels Warrant the Need for Modern Waste Management Strategies
  • 2.2. Lower Income Regions are Estimated to Witness Massive Increase in the Amount of Waste Generation
  • 2.3. Reliance on Static Data for Route Optimization Pose Limitations for Effective Waste Management
  • 2.4. Adoption of ICTs Coupled With IoT is Vital for Reduced Waste and Optimized Waste Collection
  • 2.5. Snapshot of Key ICTs Enabling Smart Waste Management
  • 2.6. Key Technological Developments to Conventional ICT solutions for Waste Management
  • 2.7. Components of Smart Waste Management

3.0. Innovative Ecosystems

  • 3.1. Automated Compactor Management Systems with Proprietary Software Systems
  • 3.2. Proprietary Waste Analytics Platform to Enhance Dynamic Route Scheduling
  • 3.3. Incorporation of Ant Colony Optimization Technology in Route Optimization and Scheduling
  • 3.4. Sensor Less Management of Waste Collection based on Smart Analytics
  • 3.5. High Density Route Planning Using Proprietary Software Tools
  • 3.6. Proprietary Solar Powered Waste Compactors With Cloud Based Interaction Systems
  • 3.7. Proprietary Software As A Service (SaaS) Solutions for Dynamic Route Optimization in Waste Management
  • 3.8. Key Startups to Watch Out

4.0. Successful Case Studies for Smart Waste Management

  • 4.1. Installation of Smart Waste Compactors to Enhanced Waste Recycling at Source & Collection Points
  • 4.2. Sensor based Recycling Stations With Waste Sorting at Source
  • 4.3. Proprietary Centralized Software Tools and Smart Equipment Compensating for Low Man Power in Waste Management
  • 4.4. Integration of Dynamic Route Optimization of Waste Container Trucks in to Smart Waste Management
  • 4.5. Integration of M2M Communication in Smart Bins through Sensor systems
  • 4.6. Integrated Smart Waste Systems With Built-In Sorting, Recycling & Compostable Systems
  • 4.7. Optimization of Waste Collection Frequencies through Smart Waste Management

5.0. Analysis & Growth Opportunities

  • 5.1. Region-wise Recommendations Based on the Current Innovations Projected for the Future
  • 5.2. SWOT Analysis - Smart Waste Management (SWM)
  • 5.3. SWOT Analysis - Smart Waste Management (SWM)
  • 5.4. Impact of Smart Waste Management (SWM) on the Environment
  • 5.5. China and US Holds the Highest Share of Patents Filed
  • 5.6. Growth Opportunity : Business Models - Crowdsourcing
  • 5.7. Smart Waste Management - Key Takeaways

6.0. Key Contacts

  • 6.1. Industry Contacts
  • Legal Disclaimer
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