下载PDF
---nasdaq--amzn_14.jpg "Amazon Web Services Logo")
iRobot's Transformation: From Hardware Vendor to IoT Cloud Application Leader
技术
- 基础设施即服务 (IaaS) - 公共云
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 建筑物
- 设备与机械
适用功能
- 销售与市场营销
用例
- 自主机器人
- 智慧校园
服务
- 云规划/设计/实施服务
- 硬件设计与工程服务
挑战
iRobot 是一家全球消费机器人公司，在 2015 年面临重大挑战。该公司在首个亚马逊 Prime Day 就售出了 14,000 台 Roomba 扫地机器人，凸显了其创新和价值的声誉。然而，这一成功也凸显了迫在眉睫的挑战。 9 月，iRobot 准备发布首款联网 Roomba 吸尘器。在此之前，iRobot 主要作为硬件供应商运营。联网 Roomba 吸尘器的推出意味着大量人将使用 iRobot HOME 应用程序来设置和控制他们的机器人。这将导致应用程序产生大量流量，从而要求 iRobot 运行高可用性、面向客户的云应用程序和物联网 (IoT) 后端平台。这是对其传统业务模式的重大转变，并带来了相当大的风险。
关于客户
iRobot 是一家全球领先的消费机器人公司，致力于设计和制造机器人，让人们能够在家庭内外做更多事情。该公司于 2002 年推出 Roomba 吸尘机器人，开创了家庭清洁机器人类别。如今，iRobot 已成为一家全球性企业，在全球销售了超过 2000 万台机器人。其产品线包括 Roomba 和 Braava 系列拖地机器人，在清洁、测绘和导航方面拥有专有技术和先进概念。 iRobot 工程师正在构建机器人和数据的生态系统，以实现智能家居。
解决方案
iRobot 决定在公共云中构建其平台。最初，他们与一家提供统包解决方案的供应商合作，于 2015 年 9 月推出了首款云连接 Roomba。然而，随着连接客户和服务的数量迅速成倍增加，iRobot 认识到它需要一种能够更快扩展并允许扩展的解决方案。以实现更直接的控制。该公司决定将其关键任务平台迁移到 Amazon Web Services (AWS) 云。 AWS 提供可扩展性、全球可用性和广泛的服务。 iRobot 使用大约 25 项 AWS 服务（包括 AWS Lambda 和 AWS IoT 平台）来运行连接到新型 Wi-Fi 连接的 Roomba 吸尘器的 Web 应用程序。通过使用基于 AWS IoT 和 AWS Lambda 的无服务器架构，iRobot 能够降低云平台的成本，避免订阅服务，并用不到 10 人来管理解决方案。
运营影响
数量效益
相关案例.
Case Study
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.
Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Premium Appliance Producer Innovates with Internet of Everything
Sub-Zero faced the largest product launch in the company’s history:It wanted to launch 60 new products as scheduled while simultaneously opening a new “greenfield” production facility, yet still adhering to stringent quality requirements and manage issues from new supply-chain partners. A the same time, it wanted to increase staff productivity time and collaboration while reducing travel and costs.
Case Study
Energy Saving & Power Monitoring System
Recently a university in Taiwan was experiencing dramatic power usage increases due to its growing number of campus buildings and students. Aiming to analyze their power consumption and increase their power efficiency across 52 buildings, the university wanted to build a power management system utilizing web-based hardware and software. With these goals in mind, they contacted Advantech to help them develop their system and provide them with the means to save energy in the years to come.
Case Study
Integration of PLC with IoT for Bosch Rexroth
The application arises from the need to monitor and anticipate the problems of one or more machines managed by a PLC. These problems, often resulting from the accumulation over time of small discrepancies, require, when they occur, ex post technical operations maintenance.
