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  • 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 IoT 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.

    主な特徴

    • Device and edge registration and configuration:
      • provisioning
      • association with assets
      • streaming time
    • Data visualization
      • Device Live monitoring
      • Historical trends
    • Asset health monitoring:
      • collect data
      • analyze historical trends
      • settable failure thresholds for alerts and warnings
    • Position and status overview map of tracking system
    • Available applications:
      • vibration monitoring
      • ultrasound monitoring
      • environmental monitoring
      • condition monitoring
      • predictive maintenance
    • Application framework based on Amazon Web Services
    • Data volume limits:
      • Automatic user notification
      • Trial basis duration: 6 months
      • Max number of devices: 5
    • User data segregation

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ソフトウェア製品

    • 製品型番

      STM32Cube function pack for multi sensors node with signal processing to enable predictive maintenance

      Digital MEMS microphones acquisition and processing software expansion for STM32Cube

      STM32 MPU OpenSTLinux Expansion Pack for Predictive Maintenance applications

評価ツール

    • 製品型番

      Edge processing enabling Condition Monitoring and Predictive Maintenance: quick start for end to end architecture based on wired Smart Sensor Nodes and Gateway

      STWIN SensorTile Wireless Industrial Node development kit and reference design for industrial IoT applications

      Wi-Fi expansion for the SensorTile Wireless Industrial Node (STWIN) kit

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技術文書

    • 概要 Version Size Action
      DB3964
      Cloud based web application for condition monitoring and predictive maintenance
      2.0
      382.3 KB
      PDF
      DB3964

      Cloud based web application for condition monitoring and predictive maintenance

プレゼンテーション & トレーニング資料

    • 概要 Version Size Action
      DSH-PREDMNT GETTING STARTED 1.0
      2.32 MB
      PDF

      DSH-PREDMNT GETTING STARTED

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