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Introduction

Edge Analytics offers condition monitoring, predictive maintenance, and edge-based, high and low frequent data pre-processing with out-of-the-box and custom KPI calculations.

Edge Analytics is an edge application to collect and preprocess high and low frequency data, corelate them and perform out of the box analysis. It also helps to receive valuable information like the health status of machines or about the performance of a production process. The calculated data can be sent directly to the MindSphere.

The analysis of the data takes place in an application on an Edge Device. With these calculation results it is possible to perform condition monitoring of assets. The configuration of the Edge Device is done via a MindSphere app.

The analysis packages of Edge Analytics determine the relevant information and send it to MindSphere. It provides an insight about the condition of an asset. It is also possible to define and manage your own “Custom Analysis” packages.

Edge Analytics offers the following options:

  • Edge Analytics allows the data preprocessing.
  • Collection, recording and archiving of high dynamic signals from a variety of data sources.
  • Sampling rates up to 50 kHz per second.
  • Local data buffering in memory for analysis then send it to MindSphere for long term archiving.
  • Vibration analysis with a highly scalable system.
  • Improved asset availability through predictive maintenance.
  • Intuitive creation of common KPIs.
  • Usage of seven predefined KPI calculations:

    • RMS Velocity
    • Peak-Peak Velocity
    • Zero-Peak Velocity
    • RMS Acceleration
    • Peak-Peak Acceleration
    • Zero-Peak Acceleration
    • Crest Factor
  • Availability for a wide range of industries.

  • Calculate vibration characteristic values:

    • RMS Acceleration
    • Peak-Peak Acceleration
    • Zero-Peak Acceleration
    • RMS Velocity
    • Peak-Peak Velocity
    • Zero-Peak Velocity
  • Calculate vibration frequency spectra:

    • Spectrum Acceleration
    • Spectrum Acceleration Envelope
    • Spectrum Velocity
  • Calculate mathematical statistics: Average, Minimum, Maximum, Peak-Peak and Dynamic.

  • MindConnect Databus:

    • Access to S7 PLCs with Put / Get
    • Access to OPC UA servers
    • Read Modbus TCP data
    • Read Modbus RTU (RS232, RS485, RS422)
    • Access to Rockwell Protocol
  • PLC Streaming Interface

    • Read data from S71200 and 1500 with up to 1kHz
  • MQTT Data Source

    • Read data Industrial Edge Databus for SIMATIC S7 Adapter
  • It will detect the defined machine state and execute analysis with Trigger Rules.

    • You can use the collected data in MindSphere and visualize it with Fleet Manager.

Note

Subtenant function
The subtenant function is currently not supported for Edge Analytics.

Purchase Edge Analytics

You can buy Edge Analytics App from the MindSphere Store.

Supported browsers

Following are the supported browsers for Edge Analytics application and the tested versions are given in brackets:

  • Google Chrome (V96)
  • Mozilla Firefox (V78)
  • Microsoft Edge (V83)

Differences between Edge Analytics and CMS X-Tools

Edge Analytics brings the concepts and experience of CMS X-Tools to MindSphere. Edge Analytics simplifies the configuration and maintenance for higher amounts of assets with clearly defined analysis packages.

The following table compares Edge Analytics and CMS X-Tools:

Edge Analytics CMS X-Tools
Architecture The configuration is performed through a web interface inside MindSphere. MindSphere maintains the communication to MindConnect Nano at the plant and receives the configured calculation results via the Internet. The configuration is performed through a Windows application. All components of CMS X-Tools can run locally at one or multiple PCs. Optionally, any of the data which is available at CMS X-Tools also can be uploaded to MindSphere.
Configuration Preconfigured, well described analysis packages can be configured easily through the web interface within a few steps. The highly flexible, highly modular and highly scalable approach allows to configure virtually any of these parameters:
- measurement
- analysis
- monitoring
- visualization
- storing task
Supported hardware MindConnect eco system with different data sources, for example SIPLUS CMS1200 SM 1281. Any computer with a supported version of Microsoft Windows and diverse devices which can provide their measurement data.
Applications Health monitoring of rotating equipments with a dynamic operating detection and KPI calculation on the edge. Operation runs on the following parameters:
- data acquisition
- processing
- monitoring
- visualization
- storing and post-processing
User Experience Level Experienced maintenance personnel. Data analysts with deep knowledge about CMS X-Tools.

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Last update: July 29, 2022