Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

The Road Ahead of IoT

1,155 views

Published on

The Road Ahead of IoT – ADI Perspective by Howard Cheng, Analog Devices at IoTNext 2016

  • Hello! Get Your Professional Job-Winning Resume Here - Check our website! https://vk.cc/818RFv
       Reply 
    Are you sure you want to  Yes  No
    Your message goes here

The Road Ahead of IoT

  1. 1. HOWARD CHENG VICE PRESIDENT ASIA PACIFIC ANALOG DEVICES The Road Ahead of IoT – ADI Perspective 50 Years of Leading Measurement and Interpretation Transforming industries with our customers ► www.analog.com/IoT
  2. 2. Ahead of What’s Possible®: The Foundation of Success in IoT ©2016 Analog Devices, Inc. All rights reserved. Partnering with Customers Going Beyond Silicon Innovating with Impact We are solving the toughest problems in IoT not only with our expertise and leadership in real world signal processing but also by working closely with customers and leveraging algorithms, platforms, software and cloud computing.
  3. 3. 3 ADI Well-Positioned for Value Creation Sensors, Signal Processing, Power, MCU, Connectivity Algorithms, Domain Knowledge Data History, Data Analytics Predictive Analytics Transformations Interpretations Connections Pattern Recognition Decisions IOT CLOUD Gateway DATA INFORMATION KNOWLEDGE WISDOM CONNECTMEASURE INTERPRETSENSE ANALYZE Analog Devices Highly Confidential Information. ©2016 Analog Devices, Inc. All rights reserved.
  4. 4. 4
  5. 5. The Connected World – Opportunities for IoT Analog Devices Highly Confidential Information. ©2016 Analog Devices, Inc. All rights reserved.3
  6. 6. ADI Shaping the Future of IoT Smart Factory Smart Consumer Smart Healthcare Smart City/Agriculture Cloud Network Security Analytics Technologies Markets Analog Devices Highly Confidential Information. ©2016 Analog Devices, Inc. All rights reserved.5
  7. 7. Information Journey – Analytics Data Ingestion Real-Time Streaming Analytics Historical Analytics Actions “Connected” “Aware” “Reactive” Predictive Analytics Prescriptive Analytics “Predictive” “Proactive” IncreasingBusinessImpact Analog Devices Highly Confidential Information. ©2016 Analog Devices, Inc. All rights reserved.6
  8. 8. The Answer - Hardware as the Root of Trust From the Sensors to the CloudLOWEST SECUREFROMSENSORTOCLOUD HIGHEST SENSORS CONVERTOR PROCESSING ANALOG DIGITAL POINT OF HIGHEST SECURITY PROCESSING END POINT REQUIRES IDENTITY AND INTEGRITY CLOUD ANALOG GATEWAYS SERVERS SERVERS NODES GATEWAYS NODES SENSOR FOG EDGE DATA SMART SENSOR CLUSTER SMART SENSOR CLUSTER CLOUD
  9. 9. Re-enforcing Intelligent Loops in Industrial Automation Howard Cheng © 1995 - 2016 Analog Devices, Inc. All Rights Reserved Example of IoT Application Smart Machine
  10. 10. Maintenance is just the “tip of the iceberg” ©2016 Analog Devices, Inc. All rights reserved.5 Motors consume 45% of all global electricity From a segment perspective Industrial : 78% of all electrical energy used in industrial systems Building Technology : 43% of all electrical energy used in commercial buildings and 37% in the home A predictive maintenance system can be shown to reduce energy consumption by up to 14% (US Department of Energy Office of Industrial Technologies)
  11. 11. Smart Factory – Example of ADI Manufacturing Plant ► Overview  8” CMOS, IPD, PROBE Cleanroom  Heavy Cleanroom Plant (air filtering systems, power units etc)  Precision Equipment (used to process the wafers)  >50 Process Tool Types  >300 Individual Tools of Every Vintage  >20 Years Experience  Well Developed Process, Equipment & Plant Control Structure ► Objectives  To move from a traditional approach of Preventative & Reactive Mix  To add Prediction to Maintenance Methodology  To Reduce Scrap  To Maintain & Improve Equipment Performance  To use as an IoT Test bed to trial ADI sensors and technology 11 Analog Devices Highly Confidential Information. ©2016 Analog Devices, Inc. All rights reserved.
  12. 12. Monitoring Plant Equipment Imbalance Turning moment monitoring Field ErrorAlignment ErrorComponent Resonance Pump / Fan Gear Box Drive Bearing ErrorGear Error Signature Analysis Indicative of impending Fault based on Vibration Analysis Warning based on Coupling Misalignment Diagnosis Beginning of Roller Bearing Damage Analog Devices Highly Confidential Information. ©2016 Analog Devices, Inc. All rights reserved.9
  13. 13. The Need for Electrical Signature Analysis (ESA) in Smart Machines 13 Bearings 41% Stator 37% Rotor 10% Other 12% Problems in 3-Phase Induction Motors ~47% of faults are electrical Source: Predictive Maintenance by Electrical Signature Analysis to Induction Motors, Bonaldi, et. al Fault Types Analysis Methods Opportunity for edge node processing and cloud analytic differentiation and IP generation Electrical Signature Analysis (ESA) Methods ► Power Quality ► MCSA (Motor Current Signature Analysis) ► EPVA (Extended Parks Vector Approach) ► IPSA (Instantaneous Power Sig Analysis) ► Partial Discharge
  14. 14. More Modalities = More Context 14 Improper Contact Pressure Thermography Acoustic
  15. 15. Summary of Machine Health Data Processing Modalities Sensor Performance ProcessingComplexity CONDITION MONITORING • Thresholds set by ISO-10816 DIAGNOSTIC • Full data analysis, model development • Can be done now with handheld instruments • Pin point fault detail, limited RUL prediction PROGNOSTIC • Sophisticated processes, algorithms & know-how • Can be implemented from a single vibration sensor • Requires development of Machine models As much sensor data as possible, Historian (EAM), Maintenance records High quality XL data Applied Domain Expertise Machine size, RPM High quality XL data Machine Learning / AI • S/W installed on the plant server or cloud • Resolution improves with # of measurands • Questionable link to quality of sensors Plant Server / Historian Local processing ‘Cloud’ processing 15
  16. 16. IoT Evolving to More Intelligence at the Node MEASURE INTERPRET SENSE CONNECT ANALYZE & PREDICT INTERPRETSENSE CONNECT MEASURE ANALYZE • Intelligent “Smart” Sensing: node turns data into information o Lowers overall power consumption, lowers latency, reduces bandwidth waste o Enables move from reactive IoT  predictive & real-time IoT o Important in Smart Healthcare, Smart City, and Smart Factory • Data stays data: never generate wisdom and knowledge at the node o Power hungry and bandwidth intensive to convert and send all data TODAY TOMORROW Analog Devices Highly Confidential Information. ©2016 Analog Devices, Inc. All rights reserved.25
  17. 17. Thank You! 50 Years of Leading Measurement and Interpretation Transforming industries with our customers

×