Industry 4.0 The Evolution of Changing Data into Insights. Optimizing of Efficiency and Availability in the Process Industry

Transcription

1 Industry 4.0 The Evolution of Changing Data into Insights Optimizing of Efficiency and Availability in the Process Industry

2 Weidmüller at a glance Sales 2017: 740 Mio. RoW 11 % Elke Eckstein Chief Operating Officer Jörg Timmermann Speaker of the ExecutiveBoard & Chief Financial Officer Detmold Headquarters Development Production José Carlos Álvarez Tobar Chief Marketing & Sales Officer ~ Employees Asia 24 % Europe 65% R&D 6,5% ca. 49% international Production/ Development 31 Sales companies ~60 Exclusive agencies and Representatives Other distributors and direct delivery in particular cases Cabinet Products Device and Field Connectivity Automation Products and Solutions

3 Our customers can be found in many different industries Machinery & Factory Automation Energy Process Transportation Device Manufacturer Building infrastructure Machine Tools Automotive Wind Water Treatment Railway Control devices Offices Food & Beverage Elevators & Escalators Photovoltaik Oil & Gas Infrastructure Motion Controls & Power Electronics Industrial Smart Factory Conveying Systems Traditional Chemical Ship Building Telecommunication Devices Public Transmission & Distribution Pharma Commercial

4 Our Solutions for the Process Industry Failsafe Power system Control room Signal Surge Protection for wide spread field devices Terminal blocks Functional Safety for tank level control Signal Surge Protection for wide spread field devices HazArea Field Wiring Junction Boxes for highly corrosive environment Interface to Control Pluggable Marshalling with system cables Signal Surge Protection for wide spread field devices IE Network solutions Signal conversion & isolation for intrinsic safe circuits for instrumentation from Ex areas. Field Fieldbus instrumentation Connectivity infrastructure

5 What is driving us towards Industry 4.0? Global Mega Trends Growing Requirements Solution Industry 4.0 Demographic Change Globalization Scarcity of Resources Climate Change Technological Development Knowledge and Information Society Individualise Products Increase Flexibility Preserve Resources Enhance Safety and Security Increase Efficiency Minimize Down Times Advanced Usability Enrich Work Flows Industry 4.0 covers a Set of Key Technologies enabling a significantly increased Performance to fulfil the growing Requirements. The Main Driver of Industry 4.0 is the progressive Development in Information and Communication Technologies. Quelle: Roland Berger: Trendcompendium 2030

6 Milliarden Digitization and Networking rise at a tearing pace Production Systems Digitization grows above average though ,7 28,4 22,9 18,2 14,4 11,2 34,8 42,1 50, Quelle: Cisco CCS, 2013 Quelle: IHS, 2014 Military & Aerospace Industrial Consumer

7 Industry 4.0 provides the basis to gain new insights into your plant

8 vertical Industry 4.0 creates Transparency in the entire Value Added Chain Comprehensive Communication is Key to Digitization and Networking SCP AZURE AWS OPC UA MQTT AMQP MT Connect PROFINET HART CoAP ERP MES SCADA Control Level horizontal Field Level Infrastructure wired wireless Interface wired wireless Field wired wireless contactless

9 Energy Cost per Unit 0.25 These are Industry 4.0 Key Technologies Technology Trends Digitization of Production Processes and Factories Horizontal and vertical Networking and Integration Decentralisation and Modularisation of Machines Cloud-based IT-Systems Applications Flexible and transformable Production Systems Industrial Analytics and Predictive Maintenance Remote Maintenance Weidmüller Components and Solutions Communicative Components Product Data Management Open Communication Stacks, Software-Tools and Platforms Proactive Energy Management Industrial Analytics Miniaturisation und Mechatronisation Availybility of local Intelligence (Computing, Memory) Application of Machine Learning Data-driven Services and Business Models Decentral Infrastructure and Automation Technology Remote Maintenance Power Monitor Collaboration of Men and Maschines Data Consistency in the entire Product Life Cycle PROtop.

10 Weidmüller acts as a Supplier and an Operator of Industry 4.0 Duale Strategie: Supplier of Industry 4.0 Operator of Industry 4.0 Products: Weidmüller s Factories: Solutions (z.b. Analytics): Energy Temperature Pressure

11 The Challenge is to drive Efficiency and Availability Increase Availability and Productivity Increase Flexibility for Late Customization Increase Process Efficiency and Yield Increase Energy and Resource Efficiency Minimize Losses

12 Energy Cost per Unit ct/item 0.25 Industry 4.0 drives Predictive Maintenance and Process Optimization Analytics & Prediction Digitization Optimiziation & Efficiency 0.11

13 Model Learning: Capturing the Normal Behaviour with Machine Learning X>-9 X>10 Wert 1 Y<9 Wert 2 Anomaly Index Y>-5 Machine Learning enables Handling of multi dimensional Data Learning of the normal Machine Behaviour, Identification von contextual Variables, Root Cause Analysis

14 Combining Application and Analytics Know How enables Analytics Solutions Application Know How Analytics Know How Analytics Solution Machinen Expertise Process Expertise Cusomers Needs Market Trends Technology Trends Machine Learning Pattern Recognition Automatic Context Learning Feedback Processing Root Cause Analysis Customer Value Increased Machine Availability Increased Productivity Reduced Production Cost Reduced Maintenance Cost Increased Product Quality

15 Technological Evolution in Industrial Analytics 1. Condition Monitoring Live monitoring of condition information Communication of collected data Condition monitoring and action planning 2. Real-time Analytics Big data 1 data source = 20 byte/s 25 data sources = 16 gb/a 3. Prescriptive Analytics Simulation and recommended actions Implementation of actions 4. Predictive Analytics Pattern recognition by machine learning Exemplary application: peak load prediction 5. Automated Analytics Closed loop implementation

16 number of occurrences Pilot applications prove the feasibility and the added value Total energy consumption Energy meter #325 No long tail Long tail with few high peaks load values

17 Energy analytics predicts peak loads and initializes load shut-off Load Profile Limit Value Shut-off Steps Load Controller

18 Energy Analytics Architecture Energy Data recording at feed-in point or on machine level if required Counter measures can be taken in case of predicted load peaks Analytics

19 Energy Analytics Anomaly Detection Digitization of Energy Consumptions Weidmüller Analytics Please diagnose Assembly Line No. 3 Identification of Anomalies and Optimization Measures Service and Maintenance

20 Thank you. Connections are our expertise. We look forward to sharing ideas with you. Let s connect. Dr. Jan Stefan Michels Vice President Standard and Technology Development Weidmüller Interface GmbH & Co. KG Klingenbergstraße 16, Detmold / janstefan.michel@weidmueller.de