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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 logging, 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. Once you collect and download the data, you can develop your own algorithms for edge processing and event visualization.

    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. Additional monitoring based on resource consumption can be applied to keep account consumption under control.

    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 and download 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
      • events tracking
    • 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

ソフトウェア入手

推奨コンテンツ

ST 最新情報

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

      STM32 MPU OpenSTLinux Expansion Pack for Predictive Maintenance applications

評価ツール

    • 製品型番

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

    • 製品型番

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

ソリューション & リファレンス設計

    • 製品型番

      A Condition monitoring cloud gateway solution, using smart sensor nodes and edge processing

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技術文書

    • 概要 バージョン サイズ アクション
      DB3964
      Cloud based web application for condition monitoring and predictive maintenance
      3.0
      363.15 KB
      PDF
      DB3964

      Cloud based web application for condition monitoring and predictive maintenance

Presentations & Training Material

    • 概要 バージョン サイズ アクション
      DSH-PREDMNT GETTING STARTED 1.0
      5.01 MB
      PDF
      How to deploy DSH-PREDMNT in propriety AWS account 1.0
      1.28 MB
      PDF

      DSH-PREDMNT GETTING STARTED

      How to deploy DSH-PREDMNT in propriety AWS account

法務

    • 概要 バージョン サイズ アクション
      SLA0091
      ULTIMATE LIBERTY SOFTWARE LICENSE AGREEMENT
      2.0
      73.21 KB
      PDF
      SLA0091

      ULTIMATE LIBERTY SOFTWARE LICENSE AGREEMENT