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IoT Systems > Case Studies > IoT Systems & InControl Engineering: Integrating Smart Sensors & Industrial IoT
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IoT Systems & InControl Engineering: Integrating Smart Sensors & Industrial IoT

 IoT Systems & InControl Engineering: Integrating Smart Sensors & Industrial IoT - IoT ONE Case Study
Technology Category
  • Application Infrastructure & Middleware - Data Visualization
  • Cybersecurity & Privacy - Database Security
  • Functional Applications - Remote Monitoring & Control Systems
  • Infrastructure as a Service (IaaS) - Cloud Computing
  • Infrastructure as a Service (IaaS)
  • Networks & Connectivity - Gateways
Applicable Industries
  • Equipment & Machinery
Applicable Functions
  • Maintenance
Use Cases
  • Machine Condition Monitoring
The Challenge

In 2016, Kevin Stoddard, a managing partner, had a problem. InControl’s customers required sensors on several equipment distributed across multiple sites and locations. To accomplish this, InControl needed a cost-effective solution fast. They also needed this solution to be intuitive for the equipment owners, highly secure, and broadly capable of delivering custom analytics to clients around the world.

The Customer
InControl Engineering
About The Customer
InControl Engineering is an innovative solutions company specializing in the design and integration of smart sensors for manufacturing in numerous industries.
The Solution

To demonstrate our solutions’ features, IoT Systems created a serverless infrastructure and dashboard to remotely monitor vacuum pumps on-site at semiconductor customer and deliver that valuable data and alerts to equipment owners. Our SenseQ gateway and SenseQ cloud infrastructure were integrated with InControl’s Smart Sensors to securely and reliably transfer data from behind an enterprise firewall to the cloud via Amazon Web Services (see Figure 1). Additionally, SenseQ provides quick, secure device provisioning, and scales easily for new equipment. The solution also includes dynamic thresholds for sensor and alarm types, defined by the SenseQ Engine, to differentiate routine warnings from critical failures. Finally, to meet changing customer needs, we built a configurable dashboard template with visualized equipment data. Equipment owners and operators can use the dashboard from their smartphone, tablet, or PC and receive alarms via in-dashboard notifications, email, or SMS.

Data Collected
Asset Status Tracking, Control System Alert, Data Security, Equipment Status, Maintenance Requirements
Operational Impact
  • [Efficiency Improvement - Maintenance]
    Improved situational awareness of predictive maintenance requirements
  • [Cost Reduction - Overall]
    Lowered costs for all parties
  • [Data Management - Data Transmission]
    Securely and reliably transmit data between equipment, sensors, and owners' devices

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