sensors2015-wireless sensors future of m2m

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Wireless Sensors: The Future of M2M Technology Rodney Montrose VP of Engineering, IoT SME Numerex Corp. www.numerex.com

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Page 1: Sensors2015-Wireless Sensors Future of M2M

Wireless Sensors: The Future of M2M Technology

Rodney MontroseVP of Engineering, IoT SME

Numerex Corp.www.numerex.com

Page 2: Sensors2015-Wireless Sensors Future of M2M

Sensors Are Everywhere!

Page 3: Sensors2015-Wireless Sensors Future of M2M

Sensors Role in IoT• Sensors are the Eyes and Ears for the Internet of

Things• Provides a Way for Machines to Communicate

With People• Sensors Allow Knowledge Transfer to

Standardized Processes and Focus on Exceptions– People Can Handle the Outliers– Allow Companies to do Things Faster, Better

and with Fewer Resources• Sensors Provide Failure Alerting– Predicative Warnings with Data Mining

Page 4: Sensors2015-Wireless Sensors Future of M2M

Success Wireless Sensor ChallengeLots of Moving Parts That All Must Line Up for Things to Work

Sensor Acquisition / Digitization Wireless Connectivity Storage Analytics Alerting Refinement

All Parts Need to Work Together

Page 5: Sensors2015-Wireless Sensors Future of M2M

The Language of SensorsPercepts:• Digital (Off/On)– ESD– Level Switch (ie I’ve Reached this Level)

• Analog (Readings)– Tank Level– Pressure– Speed– Temperature

• GPS (Where am I)– LAT, LONG, Speed, Direction, Altitude

• Strings (Description)– Houston We Have a Problem

Page 6: Sensors2015-Wireless Sensors Future of M2M

Obstacles to Overcome• Reading Resolution– Different Technologies Used Depending on Needed

Accuracy and Repeatability– Time for Reading / Number of Readings

• Environment– Sensors Need to Live in Harsh Environments• Electrical – Noise Affects Readings• Mechanical – Vibration, Temperature, Pressure• RF Interference – Shielding, Arcing

– Certification To Operate In Environment• Intrinsic Safety (C1D1, ATEX, IECEx)• Safety (UL, OSHA, CE)• Wireless (PTCRB, FCC, Carrier)

Page 7: Sensors2015-Wireless Sensors Future of M2M

Obstacles to Overcome• Power (Line Power vs. Battery)– For Battery Devices Power Consumption is ALWAYS an Issue

– Wireless Communication is Expensive in Termsof Power Drain

• Report Time (How Much to Sleep vs. How Much Time Awake)– Can’t Communicate if the Device is Asleep– Best Way to Determine Issues Using Lowest

Amount of Power

Page 8: Sensors2015-Wireless Sensors Future of M2M

Example: Tank Level Sensors• High Level Float Sensor– Digital On/Off

• Hydrostatic Pressure– Depends on Specific Gravity– Contact with Liquid

• Ultrasonic– Lower Cost, Gas Issues

• Float Level Sensor– Accurate; Installation Costs– Contact with Liquid

• Radar Level Sensor– High Cost

Page 9: Sensors2015-Wireless Sensors Future of M2M

Sensor Trade-Offs• Technology– Distance (Ultrasonic, Radar, Magnetic)– Float (Switch, Magnetic, Resistive)– Pressure, Pneumatic, Magnorestrictive,

Capacitive, Radio, Radar• Chemical Properties of Target• Accuracy / Repeatability Required– Alarm (Digital, Analog)– Custody (Billing, Payment)

• Power / Infrastructure Needed– Battery, Solar, Line Power

• Interface– Digital, Analog, Modbus, HART

Page 10: Sensors2015-Wireless Sensors Future of M2M

Wireless TechnologiesWhich Wireless Technology?• Satellite– Iridium, Inmarsat, Globalstar, Orbcomm

• Cellular– 3G – HSPA+/EVDO– LTE Cat 1/0/M– CIoT – Cellular IoT

• ISM / Proprietary– Short Range: BLE, 900 MHz, 802.15.4, ZigBee, Z-Wave,

6LoPAN, WirelessHART, ISA100.11a, ANT, EnOcean– Long Range: Semtech LoRa, Weightless, Freewave

Page 11: Sensors2015-Wireless Sensors Future of M2M

Wireless Obstacles• Amount of Data (Size, Rate of Collection)– Increased Costs (Cellular, Satellite)– Increase Transmission Time (Bandwidth, Power)– Decreased Reliability (Retries, Power)

• Importance of Data – Not All Data is the Same– Dynamic Prioritization– Multiple Data Paths• Least Cost Routing

– Aggregation of Data• Compress over Time or Readings• Aggregate Multiple Sensors to Derive

Meaningful Results

Page 12: Sensors2015-Wireless Sensors Future of M2M

Wireless Certification• FCC Part 15 / Industry Canada• GSM: PTCRB / GCF• CDMA: OTA• Carrier Dependent Safe For Network Testing• Country Specific Testing• LTE IoT• WiFi Alliance• BT Sig

Page 13: Sensors2015-Wireless Sensors Future of M2M

Example: Water Management System

Page 14: Sensors2015-Wireless Sensors Future of M2M

Sensor Driven Controls in Oil & Gas

2 Km Cellular

IP

High Level

Stop Pump

Alert Pump

Stopped

Page 15: Sensors2015-Wireless Sensors Future of M2M

Data Storage• 60% of Data Loses Value in Milliseconds of

Reading*• 90% of Data Never Acted Upon or Reviewed• Cloud Storage*– AT&T M2X, IBM Bluemix, nxCLOUDCONNECT

• Data Mining– Predictive Analysis for Failure

• Intelligent Alerting & Alarms– Ensure Correct Response to Event– Ensure Timely Response

* IBM IoT Paper

Page 16: Sensors2015-Wireless Sensors Future of M2M

Big Data Analysis for M2M• M2M Sensor Data Measured in Big Data Terms Velocity: Real-time data to take action Volume: #Sensors X Update Rate X # Units Variety: Lots of repeating values or trending values• Looking over many units before failure can

identify patterns to predict failures.– Push Real-Time Analysis to Device in Field

• Analysis Needs to Be Continuous and Automated– AI Machine Learning

Page 17: Sensors2015-Wireless Sensors Future of M2M

Security• Device Sensor Connections Unsecured• Many SCADA / M2M Systems Only

Basic Security in OS– Hardened Processors, TIA TR-50

• Each “Moving Part” Potential Security Opening

• Control Requires Higher Level Security• Cellular– LTE/GSM/CDMA Encryption– Private IP Spaces– Embedded SIMs

Page 18: Sensors2015-Wireless Sensors Future of M2M

Evolution of M2M & Sensors

Page 19: Sensors2015-Wireless Sensors Future of M2M

Transitioning Generations

GEN X/Y/Z

• Years of Experience• Hands On • Understand How It Works• If It’s Broke I’ll Fix It• Let Me Show You How This

Works

• Learning New Tasks• Automation is My Friend• Just Show Me• It’s Broke Who’s Going to

Fix It – Or Replace It• Just Send it to My Phone

Page 20: Sensors2015-Wireless Sensors Future of M2M

Wireless Sensor M2M Trends• LTE Cat M Radios Drives Large Industry Adoption• One Long Range IoT Protocol Will Gain Marketshare• Equipment Selling with Wireless Cellular Monitoring– Pervasive Cellular Eliminates Point to Point Systems and

Satellite– Sensor Manufacturer Sells Data to Customer

• Data Aggregation and Analysis at Point of Collection• Sensor Subnets (Subnet of Things) – ISA100.11a, 6LoPAN, ZigBee– Totality of Sensor Data Identifies Common Trends

• No Consistency with Sensor Data Protocols– Carriers Provide Cloud Gateways to Normalize Data

Page 21: Sensors2015-Wireless Sensors Future of M2M

What Does the Future Hold?• Standardized Configurations Allow Connections with ANY Machine/Sensor

• Wireless Connectivity Standard (Wireless HART)• Better Tools – Drag and Drop Configurators– Ad Hoc Reporting– GUI Widgets/Graphics for Quick Review

• Easy Installation– Better Way’s to Integrate With Current/Future Technology

• Automated Data Analysis Tools– Feedback to Remote Data Gateways

Page 22: Sensors2015-Wireless Sensors Future of M2M

Thank-you!

Questions ??Rod Montrose

VP of Engineering Numerex Corp

[email protected]

Page 23: Sensors2015-Wireless Sensors Future of M2M

• For clients seeking cost-effective ways to optimize assets, ultrasonic sensors and GPS devices are necessary. By using a specific application that anyone can understand, this session will demonstrate how to simplify IoT monitoring complexities. Attendees will learn how to leverage M2M technology through sensor and wireless device, how to streamline operations and save money from wireless devices and sensors, and how M2M can track, monitor, manage, optimize & secure their assets remotely.

• June 10, 2015• 10:20 AM to 11:00 AM• Location : Room 101 A• Type: Technical Sessions