智能废物管理 (SWM) 支持技术的进步

Technological Advancements Enabling Smart Waste Management (SWM)

出版日期: 2022年12月08日 | 出版商:

Frost & Sullivan | 英文 51 Pages | 商品交期: 最快1-2个工作天内

价格

简介目录

解决日益严重的废物问题的最有效方法是采用智能废物管理 (SWM) 技术，该技术可提供数据智能和对废物产生模式的实时洞察。废物处理运营商可以就其废物收集操作做出更好的决策并提高收集和回收率。 SWM 技术包括使用传感器、物联网和机器人技术，使城市能够顺利过渡到采用数据驱动的废物收集、分类和回收。

本报告探讨了全球智能废物管理 (SWM) 的使能技术，提供了技术概述、技术开发和采用的驱动因素和製约因素分析、技术概况、创新趋势、知识产权和增长分析机会。

内容

战略要务

增长问题
战略要务 8 (TM)
三大战略要务的影响
增长机会推动增长PipelineEngine (TM)
调查方法

增长机会分析

分析范围
分类
增长动力
抑制增长的因素

技术快照

全球人口和废物产生量的增加要求引入廉价的废物管理解决方案
SWM：实现可持续发展的概述/好处
数字化智能废物管理价值链
使用具有集成路线优化功能的智能传感器和压实机提高垃圾收集效率
支持智能收集的废物管理相关技术
路线优化减少了垃圾收集时间并改善了服务
基于云的平台以及集成的分拣传感器和机器人助力智能垃圾分类
集成基于物联网的技术可提高废物管理的整体效率
用于废物管理的传感器可实时监控废物收集和分类
成功案例：在旧金山部署城市级垃圾分类智能传感器
成功案例：在韩国首尔集成智能传感器和压实机
成功案例：阿姆斯特丹采用图像识别系统优化垃圾收集
废物管理：对实现联合国可持续发展目标至关重要

创新生态系统：值得关注的公司

利用智能传感器和实时监控软件平台加强废物资产管理
人工智能和机器人技术的结合将彻底改变废物收集和回收
安装自动废物输送系统 (AWCS) 以实现有效的废物管理
配备传感器的多用途高速机器人，可有效分类和管理垃圾
用于废物管理部门数字化和实时监控的端到端软件平台
物联网传感器与智能路由和资产跟踪解决方案相结合，可实现有效的废物管理

知识产权分析

在过去三年中，中国在废物管理研发活动方面处于行业领先地位

增长机会领域

增长机会 1：提高分散式垃圾收集效率的自动化移动机器人
增长机会 2：通过在住宅和工业部门安装模块化和智能堆肥机来管理有机废物
增长机会 3：电子废物管理的战略性公私合作 (PPP) 模式

附录

下一步

简介目录

Product Code: DA8A

Smart Technologies Based on Cross-industry Convergence Enhance the Efficiency of Waste Management Practices

The World Bank estimates that rapid population growth and urbanization have resulted in a global average waste generation of about 0.79 kilograms per citizen per day as of 2022. It predicts a direct relationship between waste generation and income levels and projects the daily per capita waste generation in high-income countries to increase by 19.0% by 2050 when compared to 2020 levels. Waste generation levels in developing and emerging economies are comparatively lower. However, the waste generation rate in these economies is estimated to increase by 40.0% by 2050 when compared to 2020 levels. The steady growth trajectory of waste generation will have detrimental implications on the environment, human health, and prosperity; therefore, it is necessary to improve waste collection and recycling rates to reduce the negative impact while extracting more valuable resources from waste to enable a circular economy.

The most efficient way of handling the growing waste problem is the adoption of SWM technologies that offer data intelligence and real-time insights into waste generation patterns. This enables waste operators to improve decision-making regarding waste collection operations, ultimately increasing collection and recycling rates. SWM technologies include the use of sensors, IoT, and robots to enable a smooth transition for cities to adopt data-driven waste collection, sorting, and recycling.

This Frost & Sullivan study covers the following topics:

Overview of SWM and current trends, along with factors driving the development and adoption of SWM technologies

Major innovations and R&D activities in the utilization of SWM technologies

Successful case studies based on the utilization of SWM technologies

Patent landscape and growth opportunities enabling SWM technologies

Strategic Imperatives

Why Is It Increasingly Difficult to Grow?The Strategic Imperative 8™: Factors Creating Pressure on Growth
The Strategic Imperative 8™
The Impact of the Top 3 Strategic Imperatives on the Smart Waste Management (SWM) Industry
Growth Opportunities Fuel the Growth Pipeline Engine™
Research Methodology

Growth Opportunity Analysis

Scope of Analysis
Segmentation
Growth Drivers
Growth Restraints

Technology Snapshot

Global Population Growth Along with the Subsequent Increase in Waste Generation Mandates the Deployment of Affordable SWM Solutions
SWM-Overview and Benefits to Achieve Sustainability
Digitalized and Intelligent Waste Management Value Chain
Use of Smart Sensors and Compactors Integrated with Route Optimization Enhances Waste Collection Efficiency
Technologies Associated with SWM Aiding Smart Collection
Route Optimization Reduces Waste Collection Time and Improves Services
Sorting Sensors and Robots Integrated with Cloud-based Platforms Enhance Smart Waste Classification
Integration of IoT-based Technologies Enhances Overall Efficiency of Waste Management
Sensors Used in SWM for Real-time Monitoring of Waste Collection and Classification
Successful Case Studies-San Francisco is Deploying Smart Sensors for City-level based Waste Sorting
Successful Case Studies-Seoul City in South Korea is Integrating Smart Sensors with Compactors to Increase Waste Collection Efficiency
Successful Case Studies-Amsterdam is Adopting Image Recognition Systems to Optimize Waste Collection
SWM Will be Critical to Achieving UN Sustainable Development Goals

Innovation Ecosystem-Companies to Watch

Utilization of Smart Sensors and Real-time Monitoring Software Platforms to Enhance Waste Asset Management
Integration of AI with Robotics to Revolutionize Waste Collection and Recovery
Deploying Automated Waste Conveying Systems (AWCS) for Efficient SWM
Multipurpose and High-speed Robots Equipped with Sensors for Effective Waste Sorting and Management
End-to-End Software Platform for the Digitalization and Real-time Monitoring of the Waste Management Sector
IoT Sensors Coupled with Intelligent Routing and Asset Tracking Solutions for Effective SWM

IP Analysis

China Led the Industry in SWM R&D Activity over the Past 3 Years

Growth Opportunity Universe

Growth Opportunity 1: Autonomous Mobile Robots to Improve the Efficiency of Decentralized Waste Collection
Growth Opportunity 1: Autonomous Mobile Robots to Improve the Efficiency of Decentralized Waste Collection (continued)
Growth Opportunity 2: Management of Organic Waste by the Installation of Modular and Smart Composters in Residential and Industrial Sectors
Growth Opportunity 2: Management of Organic Waste by the Installation of Modular and Smart Composters in Residential and Industrial Sectors (continued)
Growth Opportunity 3: Strategic Private Public Partnership (PPP) Models for the Management of Electronic Waste
Growth Opportunity 3: Strategic Private Public Partnership (PPP) Models for the Management of Electronic Waste (continued)