IoT Systems Inc. Case Studies Vacuum Pump Solution Avoids Unplanned Downtime and Scrap Events

Vacuum Pump Solution Avoids Unplanned Downtime and Scrap Events

IoT Systems Inc.
Vacuum Pump Solution Avoids Unplanned Downtime and Scrap Events
Equipment & Machinery
Maintenance
Predictive Maintenance (PdM)
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Cellular
MQTT
Satellite
WebSocket
Wi-Fi
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In order to scale up operations, loT Systems’ client needed a system to monitor vacuum pumps and provide managers with actionable data at near real-time speeds from anywhere, at any time, and on any device. The vacuum pumps are part of vertical furnaces that prepare semiconductor wafers at precise temperatures and pressures according to their clients’ exact specifications. If a pump was about to fail and a manager did not see the alarm, it could lead to a scrap event, costing the client revenue, delaying production with unplanned downtime, and increasing overall manufacturing costs. Managers could not see alarms in real time unless they physically walked around the floor, making predictive maintenance and preventing scrap events harder as the client scaled upwards.

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Semiconductor firm that produces semiconductor wafers.

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IoT Systems installed the SenseQ edge computing solution. SenseQ monitors the data coming from the sensors on the pump and sends alarms to managers via email or SMS when the data indicates that the pump is about to fail. SenseQ’s dashboard, which works on the equipment owner’s smartphone or tablets, also allows managers to visualize data from multiple pumps over longer periods of time without physical inspections or manual data entries. This makes it possible to set benchmarks and evaluate performance over time to make previously invisible information visible.

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Alarms For Automated Applications, Cycle Times, Device Status, Operation Performance, Temperature
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IOT
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Emerging (technology has been on the market for > 2 years)
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More efficiently predict the capabilities and limitations of their vacuum pumps by evaluating performance over elapsed time.

Better positioned to meet operational demands and yield targets as well as scale more efficiently

Conduct predictive maintenance with quicker response times, and consequently lower risks of scrap events

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