DSH-PREDMNT Cloud based web application for condition monitoring and predictive maintenance Data brief
■ Description
● The Predictive Maintenance Dashboard is a cloud application based on AWS services. It provides a highly functional and intuitive interface that is tailored for the collection, visualization and analysis of condition monitoring data from motion and acoustic vibration sensing elements, as well as temperature and other environmental data. You can use the dashboard to plot and graph real-time and historical data, monitor critical operating conditions such as running temperature, and set thresholds for automatic warnings when key parameters exceed acceptable limits.
● The cloud package can receive and process data streamed directly from compatible ST sensor nodes with real-time data pre-processing capabilities such as Fast Fourier Transforms (FFT), and also provides SDKs for the AWS Greengrass service to interface with edge gateways managing compatible ST devices capable of bulk data pre-processing and storage.
● As the dashboard runs on a third party cloud storage service provider, the number of ST loT sensor nodes you can connect on a free trial basis is limited to five, for a maximum duration of 6 months. You may also receive warnings if your data throughput approaches certain levels, but these may be negotiated if you contact our sales office to discuss your specific requirements.
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Datasheet |
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Please see the document for details |
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English Chinese Chinese and English Japanese |
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09-Jul-2019 |
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Rev 1 |
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DB3964 |
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634 KB |
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