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Driving performance & security across your industrial facility with AWS - SVC209 - New York AWS Summit

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Driving performance & security across your industrial facility with AWS - SVC209 - New York AWS Summit

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AWS IoT services help you easily monitor equipment across your industrial facilities to identify waste, such as breakdown of equipment and processes, production inefficiencies, and defects in products; identify complex events, such as equipment malfunctions; and audit security policies and take action if security threats are detected. This chalk talk walks through how to unlock OT data; compute common industrial performance metrics; build applications to analyze industrial equipment data and detect complex events; and utilize built-in device authentication and authorization, data encryption, and device security anomaly detection.

AWS IoT services help you easily monitor equipment across your industrial facilities to identify waste, such as breakdown of equipment and processes, production inefficiencies, and defects in products; identify complex events, such as equipment malfunctions; and audit security policies and take action if security threats are detected. This chalk talk walks through how to unlock OT data; compute common industrial performance metrics; build applications to analyze industrial equipment data and detect complex events; and utilize built-in device authentication and authorization, data encryption, and device security anomaly detection.

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Driving performance & security across your industrial facility with AWS - SVC209 - New York AWS Summit

  1. 1. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Driving performance & security across your industrial facility with AWS Ryan Dsouza Sr. AWS IoT Solution Architect Amazon Web Services S V C 2 0 9
  2. 2. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Agenda • Lean manufacturing and OEE • Introduction to AWS IoT SiteWise • Calculating OEE in the cloud for all of your sites • Reference architectures • Industrial security • Q&A
  3. 3. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Countering waste is core goal of lean manufacturing Wastes Defects Over- production Waiting Non-utilized talent Extra processing Transpor- tation Inventory Motion
  4. 4. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Equipment metrics can help track waste Overall Equipment Effectiveness (OEE) Availability Performance Quality
  5. 5. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Prerequisites Data collection from facilities Data accessibilityData labeling and organization
  6. 6. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Collect,structure,andconsumedatafromindustrialsites
  7. 7. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T • Next level of efficiencies will come from optimizing across sites. • Compute metrics for thousands of assets, across hundreds of sites in near real time. • Serve to dashboards and applications across your organization. • Enable end-to-end business workflows. Drive efficiencies across sites
  8. 8. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T OPC-UA: Liberate data from factories Gateway hosting OPC- UA server and AWS IoT SiteWise software package PLC Both PLC and gateway plugged into network switch
  9. 9. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Representing your assets in AWS IoT SiteWise
  10. 10. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Representing your assets Power Meter Solar Panel Ajax PK78484 f(Voltage, Current) f(Real Power) CA/17/260-477 CA/17/260-478 Name: Make: Serial Number: Real Power: Efficiency: Voltage: Current:
  11. 11. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Power Meter Solar Panel Ajax PK78484 f(Voltage, Current) f(Real Power) CA/17/260-477 CA/17/260-478 Name: Make: Serial Number: Real Power: Efficiency: Voltage: Current: Asset Representing your assets
  12. 12. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Representing your assets Attributes Power Meter Solar Panel Ajax PK78484 f(Voltage, Current) f(Real Power) CA/17/260-477 CA/17/260-478 Name: Make: Serial Number: Real Power: Efficiency: Voltage: Current:
  13. 13. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Representing your assets Metric Power Meter Solar Panel Ajax PK78484 f(Voltage, Current) f(Real Power) CA/17/260-477 CA/17/260-478 Name: Make: Serial Number: Real Power: Efficiency: Voltage: Current:
  14. 14. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Measurements Representing your assets Power Meter Solar Panel Ajax PK78484 f(Voltage, Current) f(Real Power) CA/17/260-477 CA/17/260-478 Name: Make: Serial Number: Real Power: Efficiency: Voltage: Current:
  15. 15. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Representing your assets Power Meter CA1751-1A 320 watts f(Power Meter) f(Power Meter) CA/17/260-477 Name: Nominal Power: Units: Real Power: Efficiency: Power Meter: Asset
  16. 16. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Representing your assets Power Meter CA1751-1A 320 watts f(Power Meter) f(Power Meter) CA/17/260-477 Name: Nominal Power: Units: Real Power: Efficiency: Power Meter: Asset Power Meter Name: Nominal Power: Units: Real Power: Efficiency: Power Meter: Asset Template
  17. 17. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Representing your assets Power Meter CA1751-1A 320 watts f(Power Meter) f(Power Meter) CA/17/260-477 Name: Nominal Power: Units: Real Power: Efficiency: Power Meter: Asset Power Meter Name: Nominal Power: Units: Real Power: Efficiency: Power Meter: Asset Template Power Meter CA1751-1C 320 watts f(Power Meter) f(Power Meter) CA/17/260-479 Name: Nominal Power: Units: Real Power: Efficiency: Power Meter: Asset Power Meter CA1751-1B 320 watts f(Power Meter) f(Power Meter) CA/17/260-478 Name: Nominal Power: Units: Real Power: Efficiency: Power Meter: Asset
  18. 18. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T The recipe for OEE Asset Packer Data from Equipment Equipment_State (reported as numerical codes, e.g., 1024) Good_Count Bad_Count Equipment State Derivations (Transforms) IDLE = EQ(Equipment_State, 1024) FAULT = EQ(Equipment_State, 1020) STOP = EQ(Equipment_State, 1000) RUNNING = EQ(Equipment_State, 1111) Metrics (Aggregates) Interval Options: 5 min, 10 min, 15 min, 30 min, 1 hour, 1 day, 1 week IDLE_TIME = STATETIME(IDLE) FAULT_TIME = STATETIME(FAULT) STOP_TIME = STATETIME(STOP) RUN_TIME = STATETIME(RUNNING) DOWN_TIME = STOP_TIME + FAULT_TIME + IDLE_TIME AVAILABILITY = RUN_TIME / (RUN_TIME + DOWN_TIME) QUALITY = Last(Good_Count) / Last(Good_Count) + Last(Bad_Count) PERFORMANCE = Last(Good_Count) / RUN_TIME * 0.2 OEE = AVAILABILITY x QUALITY x PERFORMANCE
  19. 19. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
  20. 20. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Industrial IoT architecture objectives ▪ Achieve low latency communication between devices and hosts/gateway ▪ Support a mix of brownfield and greenfield connectivity (Modbus, OPC UA, others) ▪ Operate without a full-time cloud dependency (pub-sub, decision-making, ML inference, more) ▪ Leverage the elasticity of Amazon Web Services (AWS) (data storage, occasional HPC, ML model training, collaboration, more) ▪ Scale easily as your needs grow (rollout to more machines, increased frequency of collection, additional data captured, more) ▪ Secure connectivity between AWS cloud and factory or job site ▪ Support different alert notification solutions via on-premises and AWS Cloud ▪ Data security & confidentiality, who has access, & how will the data be used
  21. 21. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T AWS IoT for industrial applications
  22. 22. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T L2 AB CIP/Modbus/OPC/other industrial protocols ISA 95 & ISA 99 industrial edge architecture L5 cloud L4 ERP/SAP L3 MES L1 PLC L0 industrial equipment AWS IoT SiteWise and/or AWS IoT Greengrass on industrial gateway AWS MQTT Telemetry channel (MQTT) OPC UA channel (HTTPS) HTTPS
  23. 23. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T AWS industrial IoT reference architecture AWS IoT GreengrassMES/SCADA Protocol conversion Industrial Equipment Industrial Equipment Protocol conversion AWS IoT Greengrass ML Inference AWS IoT Core Amazon QuickSight Amazon Athena IoTRule(alerts) IoT Rule (all data) Amazon Kinesis Data Analytics Amazon Kinesis Data Streams Amazon Kinesis Data Firehose IoT Anomaly Data Repository Amazon S3 Data Lake Amazon S3 Glacier Athena Kinesis Data Firehose RealTimeand HistoricalVisualization Amazon CloudWatch Amazon Cognito AWS CloudTrail AWS Config AWS IoT certificate AWS Identity and Access Management (IAM) Amazon SageMakerML Models AWS IoT Analytics Amazon SNS Email SMS AWS IoT SiteWise
  24. 24. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Device connectivity optionsAWS Cloud AWS Greengrass SiteWise Gateway Lambda Function OPC UA Client IoT Thing PLC IoT Thing PLC IoT ThingIoT ThingIoT Thing PLC SCADAIoT ThingIoT ThingIoT Thing IoT Thing Lambda Function Custom Driver IoT Thing PLC IoT Thing AWS SiteWise
  25. 25. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Audit Alerts MitigateDetect Validate IoT configuration is secure Detect anomalies in device behavior Know when & what to investigate Remediate potential issues AWS IoT Device Defender
  26. 26. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Audit your IoT resources against a set of built-in IoT security best practices A set of standard audit checks act on different IoT resources: Certificates Policies Connection settings Account settings Schedule audits (daily, weekly) or run ad hoc audits during vulnerable periods such as device deployments Scheduled Ad hoc Audit Validate IoT configuration is secure
  27. 27. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Create security profiles for all the devices in your account or a group of devices that have similar behavior characteristics Define rule-based behaviors for security metrics and data from connected devices and AWS IoT Core in the security profile Detect anomalies Identifyanomaliesin devicebehavior
  28. 28. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Alerts generated based on identified anomalies and audit findings Alerts sent to AWS IoT Console, CloudWatch, and Amazon SNS Review historical and contextual information at individual device or resource level for audit non-compliance or device behavior anomaly detection View recommended actions to minimize the impact of potential security issues Alerts Knowwhenandwhat toinvestigate
  29. 29. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Take actions that patch potential security issues and make sense for your devices and use cases Revoke permissions Reboot a device Reset factory defaults Push security fixes Can automate actions based on Amazon SNS Mitigate security issues Remediatepotentialissues
  30. 30. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T AWS Manufacturing Reference Architecture Greengrass Edge/GW S3 Data Lake Kinesis MES Factory Machines ML Inference IoT Core Sage Maker ML QuickSight Business Intelligence Athena Historian Storage Gateway EMR EBS EC2 Batch AppStreamEBS EC2 E&D Workloads (PLM/HPC/CAE) Enterprise Workloads (SAP ERP/CRM)DMS RDS Local Servers RedShift Data Warehouse DataIngestion API SiteWise Snowball Edge Smart Products DynamoDB Lambda IoT Core Amazon Forecast Plant Maint. Planning Business Functions Greengrass Connectors IoT Analytics Timestream Outpost IoT Events EC2 Lambda Business Logic
  31. 31. Thank you! © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Ryan Dsouza Sr. AWS IoT Solution Architect

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