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© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Manufacturing on AWS IoT
智慧物聯網與製造業應用
Young Yang
ML Specialist Solutions Architect
beyoung@amazon.com
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
IoT transforms traditional industrial
processes
Most data collected on premises is never analyzed and thrown away
Manufacturing Mining Oil and gas Agriculture
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
FreeRTOS: Open
Source Real-time OS
for devices with MCU
Greengrass: Device
Software Package for
Gateways
IoT Core: IoT Platform
as a Gateway to the rest
of AWS
Big-data Repository:
database, data-
warehouse, and data
lake
Bi-data Analytics:
Custom tools for
making better business
decisions
Machine Learning: AI
Deep Learning tools
for prediction
Industry 4.0 with Amazon Web Services
Revenue growth
IoT data drives business growth
Operational
Efficiency & reliability
IoT data decreases OpEx
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Use
Cases
Predictive
maintenance
Predictive
quality
Asset management
and monitoring
Smart Industrial Applications
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Use
Cases
Predictive
maintenance
Predictive
quality
Asset management
and monitoring
Smart Industrial Applications
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Predictive Maintenance
Problem
Fender seeks to automate their manual process to
measure the health of the dust collecting motor at the
factory to improve their production efficiency and
quality. Dust causes the guitar paint to have bubble and
result in lengthy process to re-work the guitar.
Solution
Vibration sensors were installed and connected with
Greengrass to AWS IoT Platform. ML baseline was
created to monitor the nominal operations of critical
motors in the factory.
Impact
Able to replace parts before catastrophic failure with
ML prediction. Cost of scheduled maintenance went
down with longer MTBF. Now, there is real-time alerts
for unexpected downtime to improve time-to-reaction.
“ All in with AWS and I got my wish, my engineers don’t think
about servers, they just think about making create products. Our
factories use IoT and SageMaker technologies to improve our
guitar production.
Ethan Kaplan
Chief Product Officer, Fender Digital, Fender Musical Instruments
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Predictive Maintenance
Problem
Already running GreenGrass on the factory floors, now
need ML for:
1) Factory operator location and time resource
management
2) Predictive maintenance for aging and degradation
of bearings with acceleration sensors
Solution
• Tight coupling of ML model and Lambda, plus local
access to high resolution sensor resources.
• Built customized model to overcome size limitation.
• Created a model delivery process for continuous
adjustment and improvements.
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Use
Cases
Predictive
maintenance
Predictive
quality
Asset management
and monitoring
Smart Industrial Applications
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Predictive Quality
Problem
Valmet produces complex equipment with multiple
dependent processes running in parallel. Valmet
customers need visibility into the state of these
processes to control quality and avoid downtime.
Solution
Valmet is building a new digital twin capability to allow
paper mill operators to view equipment and process
data during production runs. AWS IoT Analytics is at
the core of this solution training ML models for paper
quality forecasting and scheduling metrics generation
for digital twin view-generation.
Impact
AWS IoT Analytics allows Valmet to combine historical
models of equipment performance with live data from
current operations to glean insights that help them
learn how to make their paper better and stronger.
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Predictive Quality
Problem
Pentair provides water filtration systems equipped with
sensors to fish farms and large industrial brewing
customers. Most of their industrial customers are
located in geographies with unreliable internet
connectivity. They need to send data from sensors and
devices to the cloud while continuously maintaining
connection which is challenging in remote areas.
Solution
From Pentair’s water filtration systems, data is sent to
AWS IoT Core. When connectivity is limited, AWS
Greengrass provides Pentair with a local connection so
data is never lost
Impact
Pentair can make decisions in near real-time that
impact the health of its devices but also the health of
the fish which in turn, results in better yields, prevents
the spread of disease and lowers cost of operations.
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Use
Cases
Predictive
maintenance
Predictive
quality
Asset management
and monitoring
Smart Industrial Applications
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Industrial Cloud
Problem
Need a worldwide industrial digital production platform
to integrate more than 30,000 facilities and 1,500
suppliers and partners, empowering automation of all
automobile manufacturing and logistics processes.
Solution
Volkswagen Croup and AWS announced a multi-year,
global agreement to build the Volkswagen Industrial
Cloud, leveraging the breath and depth AWS’s portfolio
of services, including IoT (AWS IoT Greengrass, AWS
IoT Core, AWS IoT Analytics, and AWS IoT SiteWise),
machine learning, analytics, and compute services.
Impact
The Volkswagen Industrial Cloud will bring together
real-time data from all of the Volkswagen Group’s 122
manufacturing plants to manage the overall
effectiveness of manufacturing and logistics processes.
“ We will continue to strengthen production as a key
competitive factor for the Volkswagen Group. Our strategic
collaboration with AWS will lay the foundation.
Oliver Blume
Chairman of the Executive Board of Porsche AG and
Member of the board of Management of Volkswagen
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Reinvent w/Monitoring
Problem
1/3 of food produced globally is lost or wasted, and of
that, 39% of the loss occurs in food manufacturing.
Bayer is committed to reducing crop waste across the
food processing supply chain.
Solution
Using AWS IoT SiteWise, Bayer is exploring digital
manufacturing for crop processing to identify and
prevent process loss in real time.
Impact
Continuously monitoring food processing efficiency,
quality, and resource utilization, allows Bayer to adjust
processes and equipment to reduce losses even as the
quality or quantity of input crop streams might change.
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Why IoT Lab – Our Mission?
• Regional Advantage & Global Technology Hub
• IoT Eco-System Enablement (Hardware/Software)
• Accelerate IoT solution deployment for verticals
City/Utility Commercial/IndustrialRetail/Consumer
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Solutions
Scale IoT Business with Solutions
Partner Solution
Template
Market
Revenue
Cost Savings
Customer Use
Case
$ $
Revenue growth
IoT data drives business growth
Operational
Efficiency & reliability
IoT data decreases OpEx
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Target
• Mixed hardware/solution partners
• Smart City/Building/Community operators
Problem
• Lack of multi-vendor multi-protocol connectivity
integration platform
• Lack of end-to-end device to operation software
solutions
POC/Solution
• Work with partners and customers to create
technology prototypes and templates for:
• Device integration software (multi-protocol)
• Cloud data collection and AI analytics
• Operational tools, provisioning tools, and management tools
• 3D data visualization, VR/AR integration
Smart Building
Smart City/Building POC
IoT Core
Amazon
Lambda
Elastic
Beanstalk
EC2
S3
EMR
DataDecisionInsight
BusinessValue
Humaninputtodecision
Phase of IoT Values
DATA ACQUISITION
Enhance
Knowledge
(Data Applied)
GET CONNECTED
• Define / Deploy Devices
• Real-time data collection
LIMITED DATA
• Adhoc reporting
• No historical data
INSIGHTS
How Do We Add Value
(Applied Data  Insights)
GAIN INSIGHTS
• Customer scoring & Asset scoring
• Cause & effect
GAIN UNDERSTANDING
• Understand customer usage
• Correlation
INTELLIGENCE
Drive Sustainable Value to
Customers
(Insights  Action)
DATA-DRIVEN INNOVATION
• Highly differentiated revenue- generating services
• Build your long term digital relationships with customers
• Remote products have autonomous actions
• Process becomes more agile and continuous
DataDecisionInsight
Past Present Future
Analytics Focus
BusinessValue
Descriptive Analytics
What has happened?
Humaninputtodecision
Diagnostic Analytics
Why did it happen?
Predictive Analytics
What will happen?
Prescriptive Analytics
What should I do?
How will these decisions impact?
Analytics Landscape and Maturity
Machine Learning Transformation Path -
Manufacture
Data Lake
Descriptive
Understand Data
Predictive
Use Historical Data
Prescriptive
Machine Learning
• Security
• Governance
• Compliancy
• Lifecycle
• ETL
• BI Reporting
• Data statistics
• Knowledge Graph
• Describe, show or
summarize data in
a meaningful way
• Demand Forecasting
• Anomaly Detection
• Fraud detection
• Predictive Maintenance
• Industry 4.0
• Raw Materials Pricing
Forecasting
• Demand / Production
Planning
• Pricing Optimization
• Worker Safety
• Security Immersion Day
• Data Migration
• 3A on Data Management:
Authentication, Authorization and
Audit
• Big Data Immersion Day
• Workshop and POC
• AWS Glue
• Amazon RDS
• Amazon EMR
• Amazon Redshift
• Amazon QuickSight
• ML Solutions Lab
• IoT Lab
• ML Discovery Workshop
• Amazon SageMaker
• Deep Lens
• AWS IoT
AWSServicesBusinessNeeds
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Compute
EC2
Data Lake/Data AnalyticsAI/ML IoT
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IoT Core
Device Management
End2EndSolutions
Edge
S3, DataStream/FireHose
Device Defender
SiteWise
QuickSight
Amazon EMR, Athena, Glue
Rekognition Kinesis Data Analytics
SageMaker
Sensor
IoT
Data
Services
Applications
Amazon Marketplace
IoT GreengrassAmazon FreeRTOSIoT Device SDK2
Lambda DynamoDB, RDS, RedShift
Architecture with AWS
Your partner in smart manufacturing
CC. Lin(林崇吉)
AWS IoT x工業智造
啟動工業 4.0 兩岸佈局
新漢智能系統
AWS 台北高峰會 6/12-13
NEXAIOT 新漢智能 工業4.0解決方案供應商
 工業 4.0 諮詢與
專案執行
 SCADA自動化產
品線
 智能化邊緣運算
及網關閘道方案
 企業私有雲及戰
情室建構
 工業電腦及人機
界面
IoT
Automation
Solution
Your Partner in Smart Manufacturing
新漢智能
NEXAIOT 新漢智能 致力於物聯網雲端整合與執行之策略夥伴
AWS : 工業雲展現數據分析與儲存應用
• AWS 雲端 AWS EC2 , S3 and DB
• AWS 雲端AWS EMR 進行數據分析
• AWS 展現3D戰情, AR眼鏡與數據
NEXAIOT 新漢智能 : OT 設備貫通
• 整合OPC.等底層設備
• 新漢智能提供3D戰情與及時信息
• Edge server 整合 AWS GG
貫通 OT 設備
新漢智能 edge server
With
• NEXAIOT : OPC,Modbus…
• Amazon : AWS GG
Solution
• NEXAIOT Edge server with AWS GreenGrass.
• Edge server include OPC UA Server and IOT studio.
• IoT Core reports status to the 3D Dashboard Room and saves
historical data in S3 for Data Analytics
• 3D Dashboard Room monitor and detect alerts and can take
action/control devices from remote
Smart Building & Factory Facility
3D Dashboard room
NEXAIOT Edge Server
• AWS GG
• NEXAIOT IoT Studio
Building/Factory
Facilities : 水電油氣
Control path
Data path
OPC UA
AWS Cloud
廠樓外觀3D圖 廠區產線3D圖 : 具備旋轉 放大縮小
產線設備放大細部資訊 異常發生並告知處理方式 : AR 遠程指導
3D視覺化廠房與產線
具備AI智慧化產線機台設計
6軸手臂
MiniBOT
7軸手臂
MiniBOT 7R
AI Vision
 超完美軟硬體整合方案 :
 AWS
 Intel
 NEXAIOT
 視覺AI化方案 :
 Intel OpenVINO 技術
 雲端化展現 :
 AWS Dashboard for remote monitoring and
robomaker
 開放性工業機器手臂 :
 新漢創博公司 6軸/7軸工業機器手臂
具備AI智慧化產線機台設計影片
完美的工業雲端整合方案 : Predictive Maintenance Architecture
完美的工業雲端整合方案 : Predictive Maintenance Architecture
新漢智能針對轉動設備之預知技術 從感測安裝 頻譜數據 並上傳至AWS分析
完美的工業雲端整合方案 : Predictive Quality Architecture
完美的工業雲端整合方案 : Predictive Quality Architecture
進行將產線系統之設備數據傳送至AWS 進行分析預測生產品質與M2M 分析能力
完美的工業雲端整合方案 : Asset Condition Monitoring Architecture
完美的工業雲端整合方案 : Asset Condition Monitoring Architecture
讀取產線戰情之所有設備運作 , 稼動,維護等資訊進行最佳化設備資產管理
新漢華亞智慧工廠暨企業戰情中心
• 廠區 :
• 位於桃園龜山華亞三路: 8000 cm2
• 年產 : 新台幣 50億
• 主要產品 : 工業應用系統產品
• 產線 : SMT , DIP , 智慧倉儲 , M2M
戰情室
• 企業戰情中心 (Enterprise War Wall)
• 顯示器 :
• 4x2 ,55”(7M寬)多矩陣顯示屏
• 展現11大功能
• 主要應用 : 3C產品產線
工業4.0 - 新漢華亞智慧工廠暨企業戰情室(EWR)
智慧工廠 – 石化業
FormosaPetrol Company – Cloud/BigSCADA System
Industry Flow
Subsystem
(PLC)
DCS System
PMS
Station
Industry Ethernet
Prediction Maintenance
System
AMI SystemFactory/Process
Automation System
Safety Control
Rockwell
Automation
Vibration Monitoring
Safety
System
(SIL3)
Gateway
MMI Station CCTV
Data Server
Cloud Gateway
Gateway
DCS
Controller
Zigbee
EtherNet/IP DeviceNet
PFOFINET PROFIBUS
智慧機械 – 智能產線與精實管理
智慧工廠 - 產線機台聯網平台
OPC-UA共通協定
點膠 微調焊封濺鍍 電檢電測
製程
設備
資料
匝道器
OPC-UA頻率元件機聯網共通協定
端點
伺服器
MES
ERP
CRM
智慧
生產
應用
智
慧
設
備
智慧
分析
應用
製程不良分析與參數動態調整模組
濺鍍參數
分析模組
點賿參數
分析模組
封焊
參數最佳化
生產履歷/稼動追蹤模組
生產戰情室與資料可視化模組 異值資料
整合模組
生產履歷
整合資料
調頻參數
分析模組
設備預診斷分析模組
工研院電光所
鼎新
資通
資策會服創所
新漢
OPC-UA Client
OPC-UA Server / Pub
工廠廠務與環控
頻率元件智慧製造聯盟架構
加高電子
加高電子
Thank you!
S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Speaker Name
Contact information
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
AIoT Value for Smart Manufacturing
DATA ACQUISITION
INSIGHTS
INTELLIGENCE
BUILDING A STRATEGY TO DRIVE DIFFERENTIATION AND INNOVATION TIME
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
AIoT Value for Smart Manufacturing
GET CONNECTED
• Define / Deploy
Device
• Real-time data
collection
• Condition
monitoring
• Alert & alarm on
thresholds
• Address data
silos
LIMITED DATA
• Adhoc reporting
• Disparate data
(e.g. LOB)
• No historical
data
BUILDING A STRATEGY TO DRIVE DIFFERENTIATION AND INNOVATION
DATA ACQUISITION
Enhance
Knowledge
(Data Applied)
TIME
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
AIoT Value for Smart Manufacturing
GAIN INSIGHTS
• Data correlation
• Cause & effect
• Anomaly
detection
• Customer scoring
• Asset scoring
GAIN
UNDERSTANDING
• Understand
customer usage
• Feature usage
• Growing data sets
• Threshold analysis
• Correlation
• Machine Learning
GET CONNECTED
• Define / Deploy
Device
• Real-time data
collection
• Condition
monitoring
• Alert & alarm on
thresholds
• Address data
silos
LIMITED DATA
• Adhoc reporting
• Disparate data
(e.g. LOB)
• No historical
data
DATA ACQUISITION
INSIGHTS
Enhance
Knowledge
(Data Applied)
How Do We Add Value
(Applied Data 🡪 Insights)
BUILDING A STRATEGY TO DRIVE DIFFERENTIATION AND INNOVATION TIME
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
AIoT Value for Smart Manufacturing
GAIN INSIGHTS
• Data correlation
• Cause & effect
• Anomaly
detection
• Customer scoring
• Asset scoring
GAIN
UNDERSTANDING
• Understand
customer usage
• Feature usage
• Growing data sets
• Threshold analysis
• Correlation
• Machine Learning
GET CONNECTED
• Define / Deploy
Device
• Real-time data
collection
• Condition
monitoring
• Alert & alarm on
thresholds
• Address data
silos
LIMITED DATA
• Adhoc reporting
• Disparate data
(e.g. LOB)
• No historical
data
DATA-DRIVEN INNOVATION
• Intelligent event response (AI/ML)
• Predictive & Prescriptive Maintenance
• Highly differentiated revenue- generating
services
• Cloud-delivered customer applications
• Replenishment and supply management
• Remote product control
• Integration with 3rd party data
• Asset optimization
• Data as a Product
DATA ACQUISITION
INSIGHTS
INTELLIGENCE
Enhance
Knowledge
(Data Applied)
How Do We Add Value
(Applied Data 🡪 Insights)
Drive Sustainable Value to
Customers
(Insights 🡪 Action)
BUILDING A STRATEGY TO DRIVE DIFFERENTIATION AND INNOVATION TIME
© 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
ENTERPRISE
APPS
DEVELOPMENT & OPERATIONSMOBILE SERVICESAPP SERVICESANALYTICS
Data
Warehousing
Hadoop /
Spark
Streaming Data
Collection
Machine
Learning
Elastic
Search
Virtual
Desktops
Sharing &
Collaboration
Corporate
Email
Backup
Queuing &
Notifications
Workflow
Search
Email
Transcoding
One-click App
Deployment
Identity
Sync
Single Integrated
Console
Push
Notifications
DevOps Resource
Management
Application Lifecycle
Management
Containers
Triggers
Resource
Templates
TECHNICAL &
BUSINESS
SUPPORT
Account
Management
Support
Professional
Services
Training &
Certification
Security &
Pricing
Reports
Partner
Ecosystem
Solutions
Architects
MARKETPLACE
Business
Apps
Business
Intelligence
Databases
DevOps
Tools
NetworkingSecurity Storage
Regions
Availability
Zones
Points of
Presence
INFRASTRUCTURE
CORE SERVICES
Compute
VMs, Auto-scaling,
& Load Balancing
Storage
Object, Blocks,
Archival, Import/Export
Databases
Relational,
NoSQL, Caching,
Migration
Networking
VPC, DX, DNS
CDN
Access
Control
Identity
Management
Key Management
& Storage
Monitoring
& Logs
Assessment
and reporting
Resource & Usage
Auditing
SECURITY & COMPLIANCE
Configuration
Compliance
Web application
firewall
HYBRID
ARCHITECTURE
Data Backups
Integrated App
Deployments
Direct
Connect
Identity
Federation
Integrated
Resource
Management
Integrated
Networking
API Gateway
IoT
Rules
Engine
Device Shadows
Device SDKs
Registry
Device
Gateway
Streaming Data
Analysis
Business
Intelligence
Mobile
Analytics

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AWS-IoT-工業智造

  • 1. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Manufacturing on AWS IoT 智慧物聯網與製造業應用 Young Yang ML Specialist Solutions Architect beyoung@amazon.com
  • 2. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark IoT transforms traditional industrial processes Most data collected on premises is never analyzed and thrown away Manufacturing Mining Oil and gas Agriculture
  • 3. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark FreeRTOS: Open Source Real-time OS for devices with MCU Greengrass: Device Software Package for Gateways IoT Core: IoT Platform as a Gateway to the rest of AWS Big-data Repository: database, data- warehouse, and data lake Bi-data Analytics: Custom tools for making better business decisions Machine Learning: AI Deep Learning tools for prediction Industry 4.0 with Amazon Web Services Revenue growth IoT data drives business growth Operational Efficiency & reliability IoT data decreases OpEx
  • 4. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Use Cases Predictive maintenance Predictive quality Asset management and monitoring Smart Industrial Applications
  • 5. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Use Cases Predictive maintenance Predictive quality Asset management and monitoring Smart Industrial Applications
  • 6. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Predictive Maintenance Problem Fender seeks to automate their manual process to measure the health of the dust collecting motor at the factory to improve their production efficiency and quality. Dust causes the guitar paint to have bubble and result in lengthy process to re-work the guitar. Solution Vibration sensors were installed and connected with Greengrass to AWS IoT Platform. ML baseline was created to monitor the nominal operations of critical motors in the factory. Impact Able to replace parts before catastrophic failure with ML prediction. Cost of scheduled maintenance went down with longer MTBF. Now, there is real-time alerts for unexpected downtime to improve time-to-reaction. “ All in with AWS and I got my wish, my engineers don’t think about servers, they just think about making create products. Our factories use IoT and SageMaker technologies to improve our guitar production. Ethan Kaplan Chief Product Officer, Fender Digital, Fender Musical Instruments
  • 7. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Predictive Maintenance Problem Already running GreenGrass on the factory floors, now need ML for: 1) Factory operator location and time resource management 2) Predictive maintenance for aging and degradation of bearings with acceleration sensors Solution • Tight coupling of ML model and Lambda, plus local access to high resolution sensor resources. • Built customized model to overcome size limitation. • Created a model delivery process for continuous adjustment and improvements.
  • 8. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Use Cases Predictive maintenance Predictive quality Asset management and monitoring Smart Industrial Applications
  • 9. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Predictive Quality Problem Valmet produces complex equipment with multiple dependent processes running in parallel. Valmet customers need visibility into the state of these processes to control quality and avoid downtime. Solution Valmet is building a new digital twin capability to allow paper mill operators to view equipment and process data during production runs. AWS IoT Analytics is at the core of this solution training ML models for paper quality forecasting and scheduling metrics generation for digital twin view-generation. Impact AWS IoT Analytics allows Valmet to combine historical models of equipment performance with live data from current operations to glean insights that help them learn how to make their paper better and stronger.
  • 10. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Predictive Quality Problem Pentair provides water filtration systems equipped with sensors to fish farms and large industrial brewing customers. Most of their industrial customers are located in geographies with unreliable internet connectivity. They need to send data from sensors and devices to the cloud while continuously maintaining connection which is challenging in remote areas. Solution From Pentair’s water filtration systems, data is sent to AWS IoT Core. When connectivity is limited, AWS Greengrass provides Pentair with a local connection so data is never lost Impact Pentair can make decisions in near real-time that impact the health of its devices but also the health of the fish which in turn, results in better yields, prevents the spread of disease and lowers cost of operations.
  • 11. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Use Cases Predictive maintenance Predictive quality Asset management and monitoring Smart Industrial Applications
  • 12. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Industrial Cloud Problem Need a worldwide industrial digital production platform to integrate more than 30,000 facilities and 1,500 suppliers and partners, empowering automation of all automobile manufacturing and logistics processes. Solution Volkswagen Croup and AWS announced a multi-year, global agreement to build the Volkswagen Industrial Cloud, leveraging the breath and depth AWS’s portfolio of services, including IoT (AWS IoT Greengrass, AWS IoT Core, AWS IoT Analytics, and AWS IoT SiteWise), machine learning, analytics, and compute services. Impact The Volkswagen Industrial Cloud will bring together real-time data from all of the Volkswagen Group’s 122 manufacturing plants to manage the overall effectiveness of manufacturing and logistics processes. “ We will continue to strengthen production as a key competitive factor for the Volkswagen Group. Our strategic collaboration with AWS will lay the foundation. Oliver Blume Chairman of the Executive Board of Porsche AG and Member of the board of Management of Volkswagen
  • 13. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Reinvent w/Monitoring Problem 1/3 of food produced globally is lost or wasted, and of that, 39% of the loss occurs in food manufacturing. Bayer is committed to reducing crop waste across the food processing supply chain. Solution Using AWS IoT SiteWise, Bayer is exploring digital manufacturing for crop processing to identify and prevent process loss in real time. Impact Continuously monitoring food processing efficiency, quality, and resource utilization, allows Bayer to adjust processes and equipment to reduce losses even as the quality or quantity of input crop streams might change.
  • 14. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Why IoT Lab – Our Mission? • Regional Advantage & Global Technology Hub • IoT Eco-System Enablement (Hardware/Software) • Accelerate IoT solution deployment for verticals City/Utility Commercial/IndustrialRetail/Consumer
  • 15. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Solutions Scale IoT Business with Solutions Partner Solution Template Market Revenue Cost Savings Customer Use Case $ $ Revenue growth IoT data drives business growth Operational Efficiency & reliability IoT data decreases OpEx
  • 16. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Target • Mixed hardware/solution partners • Smart City/Building/Community operators Problem • Lack of multi-vendor multi-protocol connectivity integration platform • Lack of end-to-end device to operation software solutions POC/Solution • Work with partners and customers to create technology prototypes and templates for: • Device integration software (multi-protocol) • Cloud data collection and AI analytics • Operational tools, provisioning tools, and management tools • 3D data visualization, VR/AR integration Smart Building Smart City/Building POC IoT Core Amazon Lambda Elastic Beanstalk EC2 S3 EMR
  • 17. DataDecisionInsight BusinessValue Humaninputtodecision Phase of IoT Values DATA ACQUISITION Enhance Knowledge (Data Applied) GET CONNECTED • Define / Deploy Devices • Real-time data collection LIMITED DATA • Adhoc reporting • No historical data INSIGHTS How Do We Add Value (Applied Data  Insights) GAIN INSIGHTS • Customer scoring & Asset scoring • Cause & effect GAIN UNDERSTANDING • Understand customer usage • Correlation INTELLIGENCE Drive Sustainable Value to Customers (Insights  Action) DATA-DRIVEN INNOVATION • Highly differentiated revenue- generating services • Build your long term digital relationships with customers • Remote products have autonomous actions • Process becomes more agile and continuous
  • 18. DataDecisionInsight Past Present Future Analytics Focus BusinessValue Descriptive Analytics What has happened? Humaninputtodecision Diagnostic Analytics Why did it happen? Predictive Analytics What will happen? Prescriptive Analytics What should I do? How will these decisions impact? Analytics Landscape and Maturity
  • 19. Machine Learning Transformation Path - Manufacture Data Lake Descriptive Understand Data Predictive Use Historical Data Prescriptive Machine Learning • Security • Governance • Compliancy • Lifecycle • ETL • BI Reporting • Data statistics • Knowledge Graph • Describe, show or summarize data in a meaningful way • Demand Forecasting • Anomaly Detection • Fraud detection • Predictive Maintenance • Industry 4.0 • Raw Materials Pricing Forecasting • Demand / Production Planning • Pricing Optimization • Worker Safety • Security Immersion Day • Data Migration • 3A on Data Management: Authentication, Authorization and Audit • Big Data Immersion Day • Workshop and POC • AWS Glue • Amazon RDS • Amazon EMR • Amazon Redshift • Amazon QuickSight • ML Solutions Lab • IoT Lab • ML Discovery Workshop • Amazon SageMaker • Deep Lens • AWS IoT AWSServicesBusinessNeeds
  • 20. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark Compute EC2 Data Lake/Data AnalyticsAI/ML IoT 111011001 101011001 011011001 011011001 101011001 011011001 111011001 111011001 101011001 011011001 011011001 101011001 011011001 111011001 111011001 101011001 011011001 011011001 101011001 011011001 111011001 101011001 011011001 011011001 101011001 011011001 111011001 101011001 011011001 101011001 011011001 111011001 101011001 011011001 101011001 011011001 111011001 101011001 011011001 101011001 011011001 111011001 101011001 011011001 101011001 011011001 111011001 101011001 011011001 101011001 011011001 111011001 101011001 011011001 101011001 011011001 111011001 101011001 011011001 101011001 011011001 111011001 101011001 011011001 101011001 011011001 111011001 101011001 011011001 101011001 011011001 111011001 101011001 011011001 101011001 011011001 111011001 101011001 011011001 101011001 011011001 111011001 101011001 IoT Core Device Management End2EndSolutions Edge S3, DataStream/FireHose Device Defender SiteWise QuickSight Amazon EMR, Athena, Glue Rekognition Kinesis Data Analytics SageMaker Sensor IoT Data Services Applications Amazon Marketplace IoT GreengrassAmazon FreeRTOSIoT Device SDK2 Lambda DynamoDB, RDS, RedShift Architecture with AWS
  • 21. Your partner in smart manufacturing CC. Lin(林崇吉) AWS IoT x工業智造 啟動工業 4.0 兩岸佈局 新漢智能系統 AWS 台北高峰會 6/12-13
  • 22. NEXAIOT 新漢智能 工業4.0解決方案供應商  工業 4.0 諮詢與 專案執行  SCADA自動化產 品線  智能化邊緣運算 及網關閘道方案  企業私有雲及戰 情室建構  工業電腦及人機 界面 IoT Automation Solution Your Partner in Smart Manufacturing 新漢智能
  • 23. NEXAIOT 新漢智能 致力於物聯網雲端整合與執行之策略夥伴 AWS : 工業雲展現數據分析與儲存應用 • AWS 雲端 AWS EC2 , S3 and DB • AWS 雲端AWS EMR 進行數據分析 • AWS 展現3D戰情, AR眼鏡與數據 NEXAIOT 新漢智能 : OT 設備貫通 • 整合OPC.等底層設備 • 新漢智能提供3D戰情與及時信息 • Edge server 整合 AWS GG 貫通 OT 設備 新漢智能 edge server With • NEXAIOT : OPC,Modbus… • Amazon : AWS GG
  • 24. Solution • NEXAIOT Edge server with AWS GreenGrass. • Edge server include OPC UA Server and IOT studio. • IoT Core reports status to the 3D Dashboard Room and saves historical data in S3 for Data Analytics • 3D Dashboard Room monitor and detect alerts and can take action/control devices from remote Smart Building & Factory Facility 3D Dashboard room NEXAIOT Edge Server • AWS GG • NEXAIOT IoT Studio Building/Factory Facilities : 水電油氣 Control path Data path OPC UA AWS Cloud
  • 25. 廠樓外觀3D圖 廠區產線3D圖 : 具備旋轉 放大縮小 產線設備放大細部資訊 異常發生並告知處理方式 : AR 遠程指導 3D視覺化廠房與產線
  • 26. 具備AI智慧化產線機台設計 6軸手臂 MiniBOT 7軸手臂 MiniBOT 7R AI Vision  超完美軟硬體整合方案 :  AWS  Intel  NEXAIOT  視覺AI化方案 :  Intel OpenVINO 技術  雲端化展現 :  AWS Dashboard for remote monitoring and robomaker  開放性工業機器手臂 :  新漢創博公司 6軸/7軸工業機器手臂
  • 29. 完美的工業雲端整合方案 : Predictive Maintenance Architecture 新漢智能針對轉動設備之預知技術 從感測安裝 頻譜數據 並上傳至AWS分析
  • 31. 完美的工業雲端整合方案 : Predictive Quality Architecture 進行將產線系統之設備數據傳送至AWS 進行分析預測生產品質與M2M 分析能力
  • 32. 完美的工業雲端整合方案 : Asset Condition Monitoring Architecture
  • 33. 完美的工業雲端整合方案 : Asset Condition Monitoring Architecture 讀取產線戰情之所有設備運作 , 稼動,維護等資訊進行最佳化設備資產管理
  • 34. 新漢華亞智慧工廠暨企業戰情中心 • 廠區 : • 位於桃園龜山華亞三路: 8000 cm2 • 年產 : 新台幣 50億 • 主要產品 : 工業應用系統產品 • 產線 : SMT , DIP , 智慧倉儲 , M2M 戰情室 • 企業戰情中心 (Enterprise War Wall) • 顯示器 : • 4x2 ,55”(7M寬)多矩陣顯示屏 • 展現11大功能 • 主要應用 : 3C產品產線
  • 36. 智慧工廠 – 石化業 FormosaPetrol Company – Cloud/BigSCADA System Industry Flow Subsystem (PLC) DCS System PMS Station Industry Ethernet Prediction Maintenance System AMI SystemFactory/Process Automation System Safety Control Rockwell Automation Vibration Monitoring Safety System (SIL3) Gateway MMI Station CCTV Data Server Cloud Gateway Gateway DCS Controller Zigbee EtherNet/IP DeviceNet PFOFINET PROFIBUS
  • 38. 智慧工廠 - 產線機台聯網平台 OPC-UA共通協定 點膠 微調焊封濺鍍 電檢電測 製程 設備 資料 匝道器 OPC-UA頻率元件機聯網共通協定 端點 伺服器 MES ERP CRM 智慧 生產 應用 智 慧 設 備 智慧 分析 應用 製程不良分析與參數動態調整模組 濺鍍參數 分析模組 點賿參數 分析模組 封焊 參數最佳化 生產履歷/稼動追蹤模組 生產戰情室與資料可視化模組 異值資料 整合模組 生產履歷 整合資料 調頻參數 分析模組 設備預診斷分析模組 工研院電光所 鼎新 資通 資策會服創所 新漢 OPC-UA Client OPC-UA Server / Pub 工廠廠務與環控 頻率元件智慧製造聯盟架構 加高電子 加高電子
  • 39. Thank you! S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Speaker Name Contact information
  • 40. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark AIoT Value for Smart Manufacturing DATA ACQUISITION INSIGHTS INTELLIGENCE BUILDING A STRATEGY TO DRIVE DIFFERENTIATION AND INNOVATION TIME
  • 41. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark AIoT Value for Smart Manufacturing GET CONNECTED • Define / Deploy Device • Real-time data collection • Condition monitoring • Alert & alarm on thresholds • Address data silos LIMITED DATA • Adhoc reporting • Disparate data (e.g. LOB) • No historical data BUILDING A STRATEGY TO DRIVE DIFFERENTIATION AND INNOVATION DATA ACQUISITION Enhance Knowledge (Data Applied) TIME
  • 42. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark AIoT Value for Smart Manufacturing GAIN INSIGHTS • Data correlation • Cause & effect • Anomaly detection • Customer scoring • Asset scoring GAIN UNDERSTANDING • Understand customer usage • Feature usage • Growing data sets • Threshold analysis • Correlation • Machine Learning GET CONNECTED • Define / Deploy Device • Real-time data collection • Condition monitoring • Alert & alarm on thresholds • Address data silos LIMITED DATA • Adhoc reporting • Disparate data (e.g. LOB) • No historical data DATA ACQUISITION INSIGHTS Enhance Knowledge (Data Applied) How Do We Add Value (Applied Data 🡪 Insights) BUILDING A STRATEGY TO DRIVE DIFFERENTIATION AND INNOVATION TIME
  • 43. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark AIoT Value for Smart Manufacturing GAIN INSIGHTS • Data correlation • Cause & effect • Anomaly detection • Customer scoring • Asset scoring GAIN UNDERSTANDING • Understand customer usage • Feature usage • Growing data sets • Threshold analysis • Correlation • Machine Learning GET CONNECTED • Define / Deploy Device • Real-time data collection • Condition monitoring • Alert & alarm on thresholds • Address data silos LIMITED DATA • Adhoc reporting • Disparate data (e.g. LOB) • No historical data DATA-DRIVEN INNOVATION • Intelligent event response (AI/ML) • Predictive & Prescriptive Maintenance • Highly differentiated revenue- generating services • Cloud-delivered customer applications • Replenishment and supply management • Remote product control • Integration with 3rd party data • Asset optimization • Data as a Product DATA ACQUISITION INSIGHTS INTELLIGENCE Enhance Knowledge (Data Applied) How Do We Add Value (Applied Data 🡪 Insights) Drive Sustainable Value to Customers (Insights 🡪 Action) BUILDING A STRATEGY TO DRIVE DIFFERENTIATION AND INNOVATION TIME
  • 44. © 2019, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark ENTERPRISE APPS DEVELOPMENT & OPERATIONSMOBILE SERVICESAPP SERVICESANALYTICS Data Warehousing Hadoop / Spark Streaming Data Collection Machine Learning Elastic Search Virtual Desktops Sharing & Collaboration Corporate Email Backup Queuing & Notifications Workflow Search Email Transcoding One-click App Deployment Identity Sync Single Integrated Console Push Notifications DevOps Resource Management Application Lifecycle Management Containers Triggers Resource Templates TECHNICAL & BUSINESS SUPPORT Account Management Support Professional Services Training & Certification Security & Pricing Reports Partner Ecosystem Solutions Architects MARKETPLACE Business Apps Business Intelligence Databases DevOps Tools NetworkingSecurity Storage Regions Availability Zones Points of Presence INFRASTRUCTURE CORE SERVICES Compute VMs, Auto-scaling, & Load Balancing Storage Object, Blocks, Archival, Import/Export Databases Relational, NoSQL, Caching, Migration Networking VPC, DX, DNS CDN Access Control Identity Management Key Management & Storage Monitoring & Logs Assessment and reporting Resource & Usage Auditing SECURITY & COMPLIANCE Configuration Compliance Web application firewall HYBRID ARCHITECTURE Data Backups Integrated App Deployments Direct Connect Identity Federation Integrated Resource Management Integrated Networking API Gateway IoT Rules Engine Device Shadows Device SDKs Registry Device Gateway Streaming Data Analysis Business Intelligence Mobile Analytics