DSH-PREDMNT

Active

Cloud based web application for condition monitoring and predictive maintenance

Get Software Download databrief
Overview
Sample & Buy
Solutions
Documentation
Tools & Software
Quality & Reliability
eDesignSuite
Partner products
Sales Briefcase

Product overview

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 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 and collect anomalies generated from the Edge devices by using NanoEdgeTM AI Studio generated libraries.
The cloud package can receive and process data streamed directly from compatible ST sensor nodes with real-time data preprocessing capabilities, such as Fast Fourier Transforms (FFT). It also provides SDKs for the AWS Greengrass service to interface with edge gateways that manages compatible ST devices, which preprocess and store bulk data.
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.
  • All features

    • Device and edge registration and configuration:
      • provisioning
      • association with assets
      • streaming time
    • Data visualization:
      • device live monitoring
      • historical trends
    • Asset health monitoring:
      • event statistics
      • data collection and download
      • historical trend analysis
      • settable failure thresholds for alerts and warnings
    • Position and status overview map of tracking system
    • Anomaly detection with NanoEdgeTM AI Studio generated libraries:
      • launches learning and inference
      • receives and shows anomalies detected
    • Events notification from devices
    • Available applications:
      • vibration monitoring
      • ultrasound monitoring
      • environmental monitoring
      • condition monitoring
      • event tracking
    • Application framework based on Amazon Web Services
    • Data volume limits:
      • automatic user notification
      • trial basis duration: 6 months
      • maximum number of devices: 5
    • User data segregation

Get Software

You might also like...

All tools & software

    • Part number
      Status
      Description
      Type
      Supplier

      FP-AI-PREDMNT2

      Active

      STM32Cube function pack for STEVAL-STWINKT1B evaluation kit plus STEVAL-STWINWFV1 Wi-Fi adapter board for predictive maintenance application based on artificial intelligence (AI)

      STM32 ODE Function Pack SW ST
      FP-AI-PREDMNT2

      Description:

      STM32Cube function pack for STEVAL-STWINKT1B evaluation kit plus STEVAL-STWINWFV1 Wi-Fi adapter board for predictive maintenance application based on artificial intelligence (AI)

      FP-IND-PREDMNT1

      Active

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

      STM32 ODE Function Pack SW ST
      FP-IND-PREDMNT1

      Description:

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

      X-LINUX-PREDMNT

      Active

      STM32 MPU OpenSTLinux Expansion Pack for Predictive Maintenance applications

      STM32 MPU OpenSTLinux Expansion Packages ST
      X-LINUX-PREDMNT

      Description:

      STM32 MPU OpenSTLinux Expansion Pack for Predictive Maintenance applications
    • Part number
      Status
      Description
      Type
      Supplier

      SL-PREDMNT-E2C

      NRND

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

      Condition Monitoring ST
      SL-PREDMNT-E2C

      Description:

      A Condition monitoring cloud gateway solution, using smart sensor nodes and edge processing
    • Part number
      Status
      Description
      Type
      Supplier

      STEVAL-STWINKT1

      NRND

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

      Sensor Solution Eval Boards ST
      STEVAL-STWINKT1

      Description:

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

      STEVAL-STWINWFV1

      Active

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

      Sensor Solution Eval Boards ST
      STEVAL-STWINWFV1

      Description:

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