the evolution of ndt inspection via the iot & cloud computing · case study: olympus – iot...

NDTMA 2017 Annual Conference

The Evolution of NDT Inspection Via the IoT & Cloud Computing Dianne Hillhouse Business Development Manager Olympus Corporation of the Americas Houston, Texas

Golden Nugget Hotel, Las Vegas, NV February 14-16, 2017


•  The Internet of Things (IoT) and Cloud Computing •  IoT/Cloud and the Role of an Inspection Technology Manufacturer •  Real Time Data Analytics Case Study: Olympus •  Where Can Connectivity Improve Inspection & Asset Management •  How Will I Connect in the Field? •  Is My Data Secure? •  Conclusion


Agenda

Connectivity



IoT and Cloud Computing

According to IDC* the number of connected devices will exceed 30 billion by 2020

Data Things Analytics

*IDC International Data Corporation http://www.idc.com



Role of Inspection Technology Manufacturing in an IoT and Cloud Era

Manufacture Connected

Devices

Provide Data Pathway and

Storage

Better Quality Product

Real time data access & storage

Better Product Support

Enhanced User X

Increased ROI & CoO

Improved Next Generation Products

Process Control

•  QC •  Optimization

Monitor & Track

•  Remote Control

•  Proactive Monitoring

•  Device Health

Store

•  All selected data per device over life cycle

Insights & Big Data

•  Analyze data from multiple sources in real time

•  Real time data streaming

•  Learn and improve



Case Study: Olympus – IoT & Cloud Goals

Commercial Environment

& App Service App Factory App

Implement Scalable

Cloud Solution

Design/Build Connected Device(s)



Case Study: Olympus

As a inspection technology manufacturer, we are implementing IoT connected devices and cloud computing in all stages of our production, service and customer experience



Case Study: Olympus Factory Cloud Application Allowed Olympus to become familiar with cloud & IoT technology before developing Service and Customer offering. Consists of:

•  Device App (the ‘Thing’) o  Interface with cloud to load SW and configure instrument settings

•  Cloud App o  Collect data during manufacturing and testing o  Analyze data to make sure instrument is in correct state and pass/

fail status o  Trigger events- e.g. error codes and prompt actions to be taken by

factory personnel •  Dashboard

o  Display real time manufacturing data



Case Study: Olympus Quality Control Real Time Dashboard



Case Study: Olympus Quality Control

Calibration Engine Running on Cloud

Real-time Calibration run log Calibration Status

•  Received •  Initiated •  Error •  Pending •  Pass •  Fail



Case Study: Olympus Store & Review Data Over Lifetime of Instrument



Case Study: Olympus

Monitor & Track Location of Instrument



Case Study: Olympus Monitor & Track / Service Instrument Health



IIoT & Cloud Computing To Improve Inspection

Fleet Management •  Track devices for

inventory & usage •  Check health of

instrument / trigger preventative maintenance

•  Remote support of NDT device

•  Instant software/firmware upgrades

•  Push profiles, methods, set-ups remotely to units in the field

NDT Instrumentation / Technology Owners



IIoT & Cloud Computing To Improve Inspection Inspection Service / Asset Owners

Job Management •  Project Scope •  Industry or Site

Procedure •  Regulatory & Safety

Compliance •  P&IDs, CMLs •  Geospatial Locations •  Device Set-up (example

PAUT) pushed by internal expert or manufacturer applications support




Real-Time Data •  Review by remote Senior

NDT Technician or Reliability Engineer for timely decision making or to automatically trigger action

•  Trigger immediate re-measure or additional measurement while inspector is in location (esp. if scaffolding, insulation removal, special permitting, other time sensitive considerations)




In Field Training •  OJT training hours can be

easily monitored by Senior NDT tech for guidance and testing

•  Live steaming of actual measurement to better understand variables affecting measurement




Data Processing via Cloud •  Processing of NDT data

with advanced tools/algorithms that cannot be deployed onboard device

•  Partnering with third party software to process inspection data an automatically analyze the data for defects, anomalies, retests, etc.



How Will I Connect?

•  Wi-Fi •  Bluetooth •  Cellular (LTE) •  Serial Port (ex. RS-232) •  Ethernet •  MQTT •  ZigBee •  HART

OS Cloud



Data Security

Powered by Microsoft Azure Infrastructure

Microsoft Azure & Office 365 “becomes the first and only commercial cloud provider to offer an exclusive DOD cloud that is L5-approved for our infrastructure, platform and productivity services” US DoD*

Photo from Microsoft https://blogs.microsoft.com/iot/2016/03/24/how-microsoft-azure-engineers-for-iot-security/ *https://enterprise.microsoft.com/en-us/industries/government/dod-level5-p-ato-granted-microsoft-azure-office-365/



Conclusion

As an NDT Inspection Technology Manufacturer: •  All new inspection technology released must be “connected” devices

•  Generalized cloud solution must accommodate all future products

•  Strive to modify legacy products to connect directly to the Cloud or through “bridge”

device, such as PC or mobile device application

•  Stay current with IIoT and Cloud security protocol

•  Continue to understand, o  What data should be collected? o  Who will collect this data? o  Where and how will I store this data? o  How and by whom will this data be analysed? o  What decisions will be affected by the analysis?


Thank you for your participation in the NDTMA

2017 Annual Conference


the evolution of ndt inspection via the iot & cloud computing · case study: olympus – iot...

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