This document discusses using AWS services for industrial IoT and smart manufacturing applications. It provides examples of companies like Fender, Valmet and Volkswagen Group using AWS IoT, machine learning and analytics services to improve operational efficiency, enable predictive maintenance and quality, and gain insights from industrial equipment data. Edge computing solutions with AWS Greengrass are discussed as well for handling data from remote locations with unreliable internet connectivity.
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
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
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