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Saviant > Case Studies > High-end, scalable Cloud based IIoT solution for Device Management & Analytics
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High-end, scalable Cloud based IIoT solution for Device Management & Analytics

 High-end, scalable Cloud based IIoT solution for Device Management & Analytics - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Real Time Analytics
  • Application Infrastructure & Middleware - Data Exchange & Integration
  • Functional Applications - Enterprise Asset Management Systems (EAM)
  • Functional Applications - Remote Monitoring & Control Systems
  • Platform as a Service (PaaS) - Data Management Platforms
  • Sensors - Humidity Sensors
  • Sensors - Pressure Sensors
  • Sensors - Temperature Sensors
Applicable Industries
  • Equipment & Machinery
Applicable Functions
  • Maintenance
Use Cases
  • Asset Health Management (AHM)
The Challenge

Many instrumentation leaders face challenges including how to:

  • Track & monitor their instrument data such as Temperature, Humidity, Dew point or Pressure
  • Achieve real-time visibility of data to take necessary measures/actions.
  • Enable Remote Asset management capabilities to keep a watch on the end-devices at pre-scheduled intervals
  • Integrate notification engine to alert the end-customers in case of asset failures or abnormal conditions
About The Customer
A 56-year old American Instrumentation Industry leader.
The Solution

Saviant built a high-end 'Industrial Internet of Things' solution using the power of Microsoft Azure IoT Suite. This IIoT platform supports a robust data management system architecture; to manage enormous volume of data coming in from connected end-devices/instruments in real-time. Also, it hosts an automated email notifications engine that sends alerts on abnormal conditions; regarding temperature threshold values, dead devices, device malfunctioning and many more specific events. The user can login to the web application hosted on Cloud, through the secure single sign-on authentication in order to access the data stored in SQL Server.

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Data Collected
Dew Point, Fluid Flow Rates, Humidity, Pressure, Temperature
Operational Impact
  • [Data Management - Real Time Data]
    Real-time visibility of Instrument data.
  • [Product Improvement - Scalability]
    Scalable IIoT platform that can handle greater than millions of devices.
  • [Data Management - Data Collection]
    Instrument data collection frequency can range from 1 min to an hr.
Quantitative Benefit
  • Connected 3000+ end-devices using this scalable IIoT platform for an American instrumentation giant. And, the platform can easily handle 5x more such devices

  • Improved system uptime by 99.95% SLA with high availability & security capabilities

  • Cloud based robust data management system that stored up to 150 GB of data records for an instrumentation giant; but has the capabilities to manage 1000-times of that volume.

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