1. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
T A I P E I
10.15.19

2. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
T A I P E I
AWS 預測性維護與智慧物聯應用
Jason Wang
Partner Solutions Architect
AWS
Eddie Wu
Customer Success Manager
SoftChef
10.15.19
Albert Dai
Project Manager
Taikkiso

3. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
The 21st Century Industrial Revolution
3
Digitizing Manufacturing to Capture Value with IoT Technology
18th Century
Steam
Early 20th Century
Mass Production
1970s
Robotics and
Automation
Today
Digitization: Real-time
Intelligence & Analytics
Digital Manufacturing
Priority Investments
#1 Analytics | #2 Connectivity | #3 Automation | #4 Mobility
TECHNOLOGY
PROGRESS
SMART
DEVICES

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Reduction in
Energy Use
18%
Annual energy
cost down from
$8.4M to $6.9M
The Digitization of Manufacturing Business
4
Improved
Inventory
35%
Inventory turns
increased from
14 to 19
OEE
Improvement
16%
Average OEE
improved from
74% to 86%
New Product
Introduction
23%
New product
introduction cycle
time reduced
from 15 to 11
months
Reduction in
Defects
49%
Defect rate down
from 4.9% to
2.5%
Reduced
Downtime
48%
Unplanned
downtime down
from 11% to
5.8%
The Real Economic Value is Immense
Source: SCM World/Cisco “Smart Manufacturing & the Internet of Things 2015” survey of 418 Manufacturing Business Line Executives and Plant Managers across 17 vertical industries.

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Top obstacles to Digital Transformation
5
Complex Integration 56%
prefer fully integrated and validated solution over
separate best-of-breed vendors
Need to Automate Extraction of
Insights and Resulting Actions 42% pick analytics tools as most important enabler
Data Overload 40%
cite data management as #1 capability they need
to improve
Expanded Security Vulnerability 76%
cite security is an important element of IoT
implementation
Siloed Networks 25%
have experienced increased network strain when
implementing IoT initiatives

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Two predominant outcomes
Smart products and services are brought to market with smart factories
Smart Factories
Smart Products and
Services
Connectivity and Internet Technology
Smart Sensors and Actuators
Cloud Processing and Storage
Big Data Analytics and Artificial Intelligence

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What are the technical enablers of Industrie 4.0?
Autonomous
Robots
Simulation
Vertical & Horizontal
Integration
Industrial Internet of
Things
Cybersecurity
Cloud
Additive
Manufacturing
Augmented
Reality
Big Data
& Analytics
Cloud is one of the
9 standalone enablers
Cloud is the central
innovation enabler across
all disciplines and industries

8. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
What sets AWS apart?
Security Fine-grained control
Service Breadth & Depth
Pace of Innovation
170+ services to support any cloud workload; rapid customer driven releases
Experience: 1M+ customers Building and managing cloud since 2006
Global Footprint 22 regions, 69 availability zones, 180+ edge locations
Artificial Intelligence Fully integrated in AWS
Ecosystem Thousands of partners; 4,200+ Marketplace products
Enterprise Leader
AWS is positioned highest in execution and furthest in vision within the
Leaders Quadrant

9. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
T A I P E I
AWS 預測性維護與智慧物聯應用
Eddie Wu
Customer Success Manager
SoftChef
10.15.19

10. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
• Softchef is a software company focused on b to b IOT cloud service management.
• AWS APN Partner.
• The creator of sensor.live , the architecture auto-provision SaaS for IoT Programmer
sector.
• Completed 15+ IoT solution development in 2018.
RF Module
& Sensor
AIoT Edge Computing Vertical Application
Cloud
Architecture
Mobile
App
SoftChef Introduction

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Digital and IoT transformation
for companies
WHAT IS IOT
?

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What is IoT ?
LoraWan , 4G , NB-IoT …..
Applications
Serverless Framework
OT/IT Signal
Modbus , Canbus , DALI …
BLE , Zigbee , Z-wave , Lora
Dashboards
Server and Data Infrastructure
IoT Gateway
Sensors

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IoT Drives Growth in the Market
8 billion connected devices in 2017,
growing to 50 billion connected
devices by 2020.
Industrial Internet of Things $11 trillion over 10 years. (GE, McKinsey 2015)
Largest IoT segments in 2017:
Manufacturing operations: $105 billion
Smart grids for utilities: $56 billion
Freight monitoring: $50 billion
Product asset management: $45 billion
Smart building tech: $40 billion
(IDC, June 2017)

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Drivers for IoT adoption in Industries
Cost reduction
Improved safety environment
Shorter time-to-market
IoT brings sensors and machines to improve productivity
and lower the cost.

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Complexities For IoT Development
IoT Project
Security
Cloud Infrastructure
Hardware Design
Protocols
Scalability
Software

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Companies Struggling Against Barriers
Of self-initiated IoT were considered a
failure.
75%
Of companies substantially underestimate the
complexities of building a IoT service.
60
%

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Executives believe that their organizations.
Do not have the skills and capabilities to
deliver on digital ambitions.
84%
Executives believe their digital transformation
efforts are stalled because of difficulties in
Changing company culture to be agile.
63
%
Companies Struggling Against Barriers

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The Barriers To Implement An IoT Solution
Failure to Establish a Clearly-Defined Business Case
Lack of Appropriate Staff
Inability to Connect, Gather, and Understand the Data

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Accelerating Enterprise IoT Solution
DevelopmentCompany’s
Account

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Accelerating Enterprise IoT Solution
DevelopmentCompany’s
Account

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Control 100%
Cloud Data
Cloud Architecture
& Application
in Minutes
0% system
being installed
No Data
Ownership Disputes
Without Heavy
Development
Serverless
Architecture
Competitive Uniqueness For sensor.live

22. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
sensor.live Helps You To Overcome Challenges
Cost Time Consuming Risk
Reduce cost by
75%
Reduce deployment time by
98%
Large investment needs
ROI

23. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
• PM2.5/PM10
• Noise Urban Maps
• Temperature/Relative Humidity
Sensor
• Anemoscope/Anemometer
• Barometric Pressure
• Rain Gauge
• Radiation
• UV
• CO、NO、NO2、SO2、O3、
H2S、VOC、TVOC
Intelligent LED Streetlights
IoT Sensor System
Wind turbine power system
Solar power system
Predictive Maintenance In Street Light

24. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Application in Smart Light Solutions
1) Real-time devices condition monitoring
2) Energy and Environment monitoring
3) Setting scheduling & event trigger
4) Device Maintenance and dispatch
5) Device Maintenance and dispatch
6) History Report
7) Software OTA

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Application in Predictive Maintenance
Each object takes 5 to 30 hours processing by the SLA method so the operators
are normally staying in the office. It is hard to predict accurate complete timing
and get real-time error alarm so that causes a lot of time waste.
Case 1: 3D Printing Plant
Case 2: CNC Machining Plant
A CNC plant focus on making the prototype for clients need a tool to quantify
produce data for better operation strategies plaining to increase production.
Case 3: Sand Casting Plant
Casting is an assembly line production so the bottleneck process does affect the
production capacity greatly. The business owner has to stay in the factory and
make sure everything goes well every day and night.

26. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
T A I P E I
AWS 預測性維護與智慧物聯應用
10.15.19
Albert Dai
Project Manager
Taikkiso

27. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Who is Taikkiso?
Your total solution for rotating equipment and system needs
Taipei Headquarter
Offices in Changhua & Yunlin
• Agent for world-famous rotating
equipment in Taiwan for over 30 years
• One of the very few agents who provides
after-sales service to clients
• Products are widely used by different
industries:
Oil and Gas Semiconductor Electric Power
Chemical Nuclear Pharmaceutical

28. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
32
YEARS
Internet of Things
Experience
Data Analytics
Industrial Clients’ Pain Points
Compressors
Pumps
Cryogenic
OEM Parts
UV-C LED
Owners
Mangers
Engineers

29. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
32
YEARS
Internet of Things
Experience
Data Analytics
Industrial Clients’ Pain Points
Compressors
Pumps
Cryogenic
OEM Parts
UV-C LED
My boss wants to go industry 4.0; my boss wants to do AI
My boss wants to go industry 4.0; my boss wants to do AI
Owners
Mangers
Engineers

30. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
MAINTENANCE
PREVENTIVE PREDICTIVE
vibration detection, data collection, data analytics, database creation,
cross comparison, machine learning, algorithm modification, and more
What can Taikkiso do then?
32
YEARS
Internet of Things
Experience
Data Analytics
Compressors
Pumps
Cryogenic
OEM Parts
UV-C LED

31. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Cloud Service
• Data storing
• Deep Learning
• Data visualization
• Administrative Management
… and more
Embedded System
& Sensors
• Equipment symptoms collection
• Algorithm execution
• Data cleansing
• Edge computing
Condition Monitoring as a Service
From labor to automation, we provide more advanced service
Onsite Troubleshooting
Spare Parts Maintenance
MCU

32. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Why CMaaS?
0
10
20
30
40
50
60
70
Before After
Routing Inspection Time
Before After
0
5
10
15
20
25
30
35
Before After
Average Spare Parts Lead Time
Before After
Unit: Hours/Month Unit: Days
50%

33. Thank you!
© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.