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Vacuum Pump Solution Avoids Unplanned Downtime and Scrap Events

Vacuum Pump Solution Avoids Unplanned Downtime and Scrap Events
IoT Systems Inc. IoT Systems Inc.
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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.
Semiconductor firm that produces semiconductor wafers.
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.
Vacuum pump: vibration, pressure, and temperature data
Emerging (technology has been on the market for >2 years)
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
The IoT ONE Radar indicates the mix of hardware, software and services used in an IoT solution.
Horizontal applications are standardized (e.g., asset tracking). Vertical applications are tailored to specific needs (e.g., delivery fleet management).
APIs are the market enabler for IoT. They allow users to manage devices, enable data transfer between software, and provide access capabilities.
Middleware integrates the diverse components of an IoT application by structuring communication, workflows, and business rules.
IoT analytics includes real-time or edge computing and batch analysis. Analytics can be behavioral, descriptive, predictive, or prescriptive.
Visualization solutions use dashboards, alerts, events, maps, and other tools to present easily comprehensible data to end users.
Data management solutions capture, index and store data in traditional database, cloud platforms, and fog systems for future use.
Security software provides encryption, access control, and identity protection to IoT solutions from data collection through end-user applications.
System integrators link IoT component subsystems, customize solutions, and ensure that IoT systems communicate with existing operational systems.
IoT data management consultancies help to make sense of big data, decide which data to maintain and for how long, and troubleshoot IT issues.
IoT hardware consultancies provide services such as solution specification, product design, connectivity setup, and partner identification.
IoT software consultancies support the development of data analytics, visualization solutions, and platforms, as well as integration into embedded systems.
Examples of business consulting services include go-to-market design and execution, business model development, channel development, and corporate M&A.
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