Industry 4.0 Misconceptions, chances, solutions

Transcription

1 Industry 4.0 Misconceptions, chances, solutions 22. May László DVORSZKY

2 AGENDA Introducing (seacon.hu) Industry 4.0 (industry4.hu) I4Log framework Model-solutions

3 QUICK TIME

4 INDUSTRY 4.0 IS NOT ONLY AUTOMOTIVE INDUSTRY

5 SEACON EUROPE Antecedent, knowledge, competence Business profile Software Development, Consulting Data management, Big Data, Sensor-technology DW + MIS, Business Intelligence Business Solutions IT and Information Security Vehicle Fleet Management Member of NTP -Workgroups

6 INDUSTRY 4.0? Accurate knowledge or misconceptions? New industry standards? Rules, obligatory and regulated use of networks? Mellow and recent technology? Technical and functional regulation for big concerns?

7 INDUSTRY 4.0: VISION - CONCEPTION Set Of Challenges Risks and Requirements Digitization of the operating conditions of equipment and machines allows to adjust to the changing environments, orders and operation conditionals. New Risks New Challenges New Requirements New aspects Looking for Solutions

8 INDUSTRY 4.0 Industrie 4.0 or Industry 4.0? Germany: first initiative Industrie 4.0 Industry Industrial Internet Consortium Made in China 2025 Industrial Value Chain Initiative

9 INDUSTRY ORIGINS It came from Germany. Initiative of The Federal Government and Chamber of Commerce and Industry. Aim: Merging the industrial production and the modern IT-Technology. Research Facility: FRAUNHOFER Institute (Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.v.) More then Documents in the Topic of Industrie 4.0 Finding direction, Survey, Reports Ideas (Studies, Strategic Aspects, Recommendation, Best Practice, )

10 INDUSTRY 4.0 CHALLENGES AND RISKS New Industry 4.0 Business Models Costs of Investments The biggest challenger of the IT Security is the User The Risk of the lost of Know How

11 INDUSTRY 4.0 CHALLENGES AND RISKS

12 INDUSTRY 4.0 CHALLENGES AND RISKS New Industry 4.0 Business Models Costs of Investments The biggest challenger of the IT Security is the User The Risk of the lost of Know How

13 INDUSTRY 4.0 CHALLENGES AND RISKS Law Safety Data Using Rights Personal Data Security Competencies and distress of Colleagues

14 INDUSTRY 4.0 NETWORKING Vertical and horizontal connections Vertical Connection: Inside the Company - from the IoT, - trough the Production - to the Top Management Horizontal Connection : Over the Company - Supplier - Producer, Provider - Customer Chain

15 INDUSTRY 4.0 How to think Business proposition Big Data Data search, IT security Hidden Problems Solutions Method/Framework Smart Factory and IT Digitalizing of the Procedures Intelligent data processing

16 VISION SMART FACTORY Architecture - Cyber Physical Interface (CPI)

17 INDUSTRY VISIONS AND THE TODAY FACTS Smart Washing machine (Controlled by Smartphone, checking of electrical consuming) Traffic- and Situation depending navigation. Personal feedback. Furniture Unique production. Automatic modification of the Product Plan depending on the onine order.

18 INDUSTRY AIMS What is our aim Extensive monitoring and controlling Process analysis One machine more machine: full overview Technical-, environment-, human characteristic Optimalization Warnings, Alarms Efficiency, customer satisfaction

19 DATA ANALYSIS I4Log Framework - Program function Correlation Flat Data structure Data correlation Events Rule Management Alarm Affinity analysis Profile Deviation alarm Prediction Trend analyse Deduction

20 DATA MARKETS Consumption areas Maintenance Failure occasion prediction Maintenance planning Quality Assurance Production Control Statistical check Documents Tracking Automatic Product Documents Digital signature

21 APPLICATION I. FOOD PRODUCTION Rule and limit control, Events, Quality Control Data Sources Sensor: Temp., Brightness, Humidity ERP: Raw material, Order, Production, Delivery User functions Environment control Raw material storage Production End-product storage Alarms (limit control) Quality control/documents

22 APPLICATION II. - UNIVERSAL COLLABORATIVE ROBOTS Profile, Analyse, Production Control Real Time Datasources Play Telemetrically Data (V, A, ºC, ) Kinetic Data (Position, Speed) Move profile with reference load Real Time Analyse (10 Hz, 125 Hz) Event and limit control User Functions Maintenance planning User error (overload) Optimizing (dynamic loads) Sabotage detection(e.g. unreasonable slowing-down) Unknown unlikeness (affinity analysis)

23 INDUSTRY RESOURCES Hungary NTP: Fraunhofer Institute (German, English): Many Hungarian company with Industry 4.0 solution, sartial solution... Software development, propagation of Industry 4.0 Seacon Europe Kft.:

24 Thank You! László Dvorszky Seacon Europe Kft. CONTROL