INDUSTRIAL IOT SOLUTION

소개 및 활용 방안

PTC Korea 김장원 상무 jakim@ptc.com

2017.12.06

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INDUSTRIAL IOT

TREND & NEEDS

3

THE INTERNET OF THINGS:

MAPPING THE VALUE

4

제조업국내공급동향 (통계청)

참조 : 통계청 2017년 3/4분기 제조업 국내공급동향 통계청 2016 주요국가산업단지산업동향

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국내사물인터넷 활성화방향성

업종 사업체수 종사자수 평균 종사자수

전산업 3,812,820 19,899,786 5

도매 및 소매업 997,120 2,998,923 3

숙박 및 음식점업 703,364 2,071,581 3

협회 및 단체 개인서비스업 399,723 949,932 2

제조업 397,171 3,957,394 10

운수업 378,884 1,047,788 3

교육 서비스업 175,389 1,509,046 9

부동산업 및 임대업 141,186 494,750 4

보건업 및 사회복지 131,505 1,413,443 11

건설업 128,215 1,098,535 9

예술, 스포츠 103,635 365,964 4

전문, 과학 및 기술 서비스 96,376 929,655 10

사업시설관리 50,785 976,789 19

금융 및 보험업 41,909 698,516 17

출판, 영상, 방송통신 40,664 533,297 13

공공행정, 국방 12,096 648,579 54

환경 7,761 82,216 11

농업, 임업 및 어업 3,184 36,474 11

광업 2,013 16,311 8

전기, 가스, 증기 및 수도사업 1,840 70,593 38

합계 7,625,640 39,799,572 5

참조 : 통계청 시도 · 산업 · 사업체구분별 사업체수, 종사자수(`06~ )

디바이스

제조분야

국내사물인터넷

활성화

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Smart Manufacturing Industry 4.0

A WAVE OF INDUSTRIAL TRANSFORMATION

Made in China 2025

33% (majority) of IoT economic value will come from the

“factories” setting

- McKinsey Global Institute, 2016

Manufacturing operations is the IoT use case that will see the

largest investment

- IDC, 2017

2015년제조업활성화를목표로발표한산업고도화전략

2012년독일정부의핵심미래프로젝트로도입

Big data processing Advanced robotics Industrial connectivity devices

and services

90% of respondents in a Bain survey remain in the planning and proof of concept stage

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IIOT IS TRANSFORMING THE TECHNOLOGY LANDSCAPE

Source: LNS Research 2017

Suppliers EnvironmentalLogistics

ISA95 Model -

IoT

• Mobile

• Hybrid/Cloud

• Edge & Big Data Analytics

• Application

Enablement

• Augmented Reality

• Connectivity

“System of engagement”

• Connected

• Real-time• Predictive• Flexible• Mobile & augmented

“Systems of record”

Confidential and Proprietary to PTC

“Wrap and Extend” Speed & Flexibility

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MANUFACTURING SYSTEMS – ISA95 LEVEL 정의

PTC 솔루션인 Industry Connectivity(Kepware) 와 산업용 IoT 에 특화된 Platform(ThingWorx) 을 활용하여 Thing Modeling 을 통하여 Controller/Sensor 등의 객체와 데이터를 시각화 및 도식화 할 수 있는 To-BE Architecture 구성

L0

L1

L2

L3

사내Application 개발 및 연동(HTML5 /

API)

IoT SW Platform

(ThingWorx)

시스템 통합서비스

시각화모델링

구현 환경

비즈니스로직 &

이벤트 처리

사용자 권한및 역할 관리

보고서 및분석 기능

모바일 & Web

인터페이스

IoT 데이터관리

인터페이스확장 설계

IndustrialConnectivity(Kepware)

ThingWorx Always On Connector

OPC DA Server

OPC UA Server

3rd party OPC

connector

U-CON driver

140개이상의

drivers 제공

Gateway

PLC

(SIEME

NS)

PLC

(Mitsubi

shi) Sensors

(IoT)

CNC

(Contro

ller)

Line#1

Gateway

PLC

(SIEME

NS)

PLC

(Mitsubi

shi) Sensors

(IoT)

CNC

(Contro

ller)

Line#2

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Edge/OT

Environments

Controllers Sensors

Historians

CAD & PLMAEC & BIM

Digital Context

ThingWorx Composer

Model

Definition

Business Logic

Database infrastructure (On premise or Cloud)

ThingWorx Mashup Builder

Mobile

Desktop/Laptop

AR/Wearables

VR/Wearables

IoTClouds

• EMS - Edge MicroServer

• ThingWorx

Edge SDKs

Gateway

Persistence Providers

H2 (Embedded)

PostgreSQL

SAP HANA MS SQL DSE

JD

BC

Co

nn

ec

tor

REST APIs

Ru

nti

m

e d

ata

Analytics Definition

ThingWorx Analytics

ThingWorx Studio

ThingWorxUtilities

ThingWorxMarketplace

Secure Data Flow

ThingWorx Storage

Runtime

Business/IT

Systems

ThingWorx connection Server

ThingWorxIndustrial

Connectivity

Integration Connectors

HIGH LEVEL ARCHITECTURE

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DEPLOYMENT OPTIONS – CLOUD HOSTED

Customer

Infrastructure

CorporateWired/Wireless

Network

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DEPLOYMENT OPTIONS – ON PREMISE HOSTED

Customer Infrastructure

Corporate

Wired/Wireless

Network

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DEPLOYMENT OPTIONS - HYBRID

FacilityWired/Wireless

Network

Customer Facility n

FacilityWired/Wireless

Network

Customer Facility 1

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BUSINESS PROOF POINTS OF IIOT

Grow

Revenue

(매출증가)

(비용절감)

Reduce

Cost

Better Customer Experience

New Business Models Predictable Production

Integrated Demand

Management

Marketing Analytics

Safety In Workplace

Green Energy Monitoring

Track & Trace

Asset Utilization & Uptime

Reliability & Maintenance

Increase Efficiency

Operational Improvement

New Business

Process Optimization

1. Monitor 2. Control 3. Optimize 4. Automate

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IOT SOLUTIONS FROM PTC

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PTC - 일반사항

PTC Inc. (NASDAQ : PTC) – 1985년 설립

전세계 6300여명 / 한국 80명 (1992년)

미국 매사추세츠주 보스턴 (본사), 26개국 87개사무소

약 1조 5천억원 (USD 1.4 B)

전세계 28,000여고객사

회사명

임직원

소재지

연매출 (2015년)

고객사

Industrial SOLUTIONS

PLM

SLM

CAD

ALM

IoT PLATFORMS

Analyze

Experience

Connect

Create

AND MANY MORE

Application Enablement Platform

Analytics

2014 2015 2016

IoT 응용 프로그램신속한 개발 플랫폼

보안 장치 연결 및원격 서비스

자동화 된 고급 분석플랫폼과 전조 진단

AR(증강 현실)

넘버원 플랫폼산업 자동화영역의 리더

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IoT Software Platform Reports

The Forrester Wave™: IoT Software Platforms, Q4 2016

PTC, IDC 마켓스케이프 IoT 플랫폼부문리더기업으로선정 IDC MarketScape: Worldwide IoT Platforms

(Software Vendors) 2017

1717© 2016 FORRESTER. REPRODUCTI ON PROHI B I TED.

IOT ARCHITECTURE INTEGRATES SPECIALTY AND ENTERPRISE SOFT

WARE PLATFORMS

Source: “Brief: CIOs Will Architect And Operate The Internet Of Things” Forrester report

Awareness Analysis

Action Alternatives

Things and

networks

Ingestion

and delivery

Aggregation

and integration

• Sensors and devices

• Gateways

• Connectivity

• Protocol translation

• Device management

• Data conversion

• Data aggregation

• API management

• Analytics

Serv

ice

s tie

r: ente

rpris

e a

pp

s

IoT software platforms

• ERP

• CRM

• Partner

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BRIDGE THE DIGITAL AND PHYSICAL WORLDS

PHYSICALWORLD

DIGITALWORLD

PHYSICALTHING/ENVIRONMENT

DIGITAL TWIN

Create CAD / PLM / ALM

Smart Manufacturing (Industry 4.0)

3D Printing

IOT &Analytics

AugmentedReality

Virtual Reality

Operate & Service OEE & SLM

디지털트윈

실제물리적인자산대신소프트웨어로가상화한자산의디지털트윈을만들어모의실험

(시뮬레이션)함으로써실제자산의특성 (현재상태, 생산성, 동작시나리오, 등)에대한정확한정보획득

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CONVERGENCE OF DIGITAL AND PHYSICAL WORLDS

Next Generation Digital Prototype

3D Design

Physical

Product

DIGITAL WORLD PHYSICAL WORLD

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CONVERGENCE OF DIGITAL AND PHYSICAL WORLDS

Connected ProductDashboard

AugmentedReality

Next Generation Digital Prototype

3D Digital Twin

Physical Product

DIGITAL WORLD PHYSICAL WORLD

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DIGITAL TWIN EXAMPLES

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DIGITAL TWIN EXAMPLES

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DIGITAL TWIN EXAMPLES

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DIGITAL TWIN EXAMPLES

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INDUSTRIAL INNOVATION PROCESS

SOURCE

(수집/연결)

CONTEXTUALIZE

(맥락/연관)

SYNTHESIZE

(합성/분석)

ORCHESTRATE

(조정/디지털)

ENGAGE

(연결/활용)

Industrial Innovation Process

Industrial Innovation Process

SOURCE

(수집/연결)

CONTEXTUALIZE

(맥락/연관)

SYNTHESIZE

(합성/분석)

ORCHESTRATE

(조정/디지털)

ENGAGE

(연결/활용)

Source – Incorporate and aggregate data from

anywhere.

• Sensored products and systems • PLCs and IoT gateways on the factory floor

• Existing product clouds• 3D design and PLM/Engineering systems

• Other business systems like CRM and ERP

Industrial Innovation Process

(수집 / 연결)

Industrial Innovation Process

SOURCE

(수집/연결)

CONTEXTUALIZE

(맥락/연관)

SYNTHESIZE

(합성/분석)

ORCHESTRATE

(조정/디지털)

ENGAGE

(연결/활용)

Contextualize – structure the data in a way that

makes sense.

• Organize digital data from your physical systems and products, and enrich it with

additional data, like 3D geometry, essentially creating a digital twin

Industrial Innovation Process

(맥락 / 관계)

Industrial Innovation Process

SOURCE

(수집/연결)

CONTEXTUALIZE

(맥락/연관)

SYNTHESIZE

(합성/분석)

ORCHESTRATE

(조정/디지털)

ENGAGE

(연결/활용)

Synthesize – Maximize business value by

combining data to gain insight.

• Gain valuable insight – analyze, simulate & predict physical product and system

behaviors and performance using included analytics capabilities or 3rd party tools.

Industrial Innovation Process

(합성 / 분석)

Industrial Innovation Process

SOURCE

(수집/연결)

CONTEXTUALIZE

(맥락/연관)

SYNTHESIZE

(합성/분석)

ORCHESTRATE

(조정/디지털)

ENGAGE

(연결/활용)

Orchestrate – Driving action in physical and

digital systems.

• Automate processes that affect and leverage business systems, products and physical operations.

Industrial Innovation Process

(조정 / 디지털)

Industrial Innovation Process

SOURCE

(수집/연결)

CONTEXTUALIZE

(맥락/연관)

SYNTHESIZE

(합성/분석)

ORCHESTRATE

(조정/디지털)

ENGAGE

(연결/활용)

Engage – Driving action in people to enable

them to make better decisions and better perform their tasks.

Clearly present relevant, compelling information

through:• Desktop and mobile Apps

• Augmented Reality Experiences• Virtual Reality Experiences

Industrial Innovation Process

(연결 / 활용)

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국내기업 스마트펙토리USE CASES

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국내기업스마트공장도입 사례 – 구축요건

공장의 기존설비 자산을 신규설비로 교체하지 않고 사물인터넷(IoT) 및 응용기술을 이용하여 Smart Factory를 구축하여 데이터를 기반한 의사결정이 실시간으로 이행 되는 공정 최적화 목표

스마트공장도입

공정최적화

실시간 생산 LoT 추적 관리

현장 Paperless 실시

생산능률파악을 위한 LOSS 도출

생산기술의 데이터 자산화

제조 현장의 낭비 요소

• 불량 생산• 과잉 재고• 작업 대기• 작업자 동선• 공정 간 운반• 과잉 생산

생산성 저해의 내외부적 요인

• 주문 수량의 다양화• 납기의 원칙과 기준 불규칙• 제품 종류의 다양성• 동일 문제의 재발 발생• 공정의 지연,정체,대기 발생• 실 시간 의사 결정 정보의 부족

생산설비와공정 물류개선 으로

생산성 저해요인 제거

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IOT VS INDUSTRIAL IOT

Smart Devices

& Connectivity

Internet Of Things

Safety & ScalePlatform &

Security

Governance &

Transparency

Customer

Experience

Industrial IoT

Large Assets & Sites Autonomous Dangerous Environments

(HoT / Loud / Polluted)

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SUMMARY