• Our Approach

    We believe that you shouldn't be engineering the optimal setup and fiddling with data connectors yourself. Don't loose time on finding what model works best and how to train it (or re-train it when something changed on the asset).

    broken image

    We deliver a suite of dedicated monitoring solutions for specific machines and installations: Virtual Engineers

    Components of each product:

    • Data collection
    • Data analysis: a set of connected algorithms looking at multiple aspects of relevance related to health, integrity, efficiency, quality...
    • Algorithmd for interpretation and contextualization
    • Visualization on asset-specific dashboards
    • Warnings and Alarms

    Easy and fast:

    • Fast to deploy
    • Short time to value
    • No DIY
    • User-based access rights
    • All data is managed in a single environment
    • No interference with running operations or existing systems

    Simple and straightforward.

    • A tool to manage all relevant aspects of an installation: state-of-health, efficiency, product quality, remaining lifetime
    • A focus on simplicity: allow non-expert colleagues to also consult insights based on the treated data
    • Pre-configured, clear and structured dashboards, grouped based on site and asset in a logical way

  • "Our 'engineers in a box' continuously watch over your installations, send out alarms when things tend to go wrong and provide periodic reports indicating the present state and what preventive repair is required: the ultimate tool for risk reduction and maintenance optimisation!"

  • What are the stages

    1

    Sensor hardware and/or existing data sources

    Deriving valuable insights from a monitoring system starts from the data: identifying and locating the relevant data in existing databases or putting the right sensors on the right position and reading them out in the optimal way.

    2

    Installation & Commissioning

    Push the button of Industry 4.0 by connecting to all relevant existing sources and/or installing the sensors + acquisition system onto your asset.

    3

    Data Management

    Continuously structuring, verifying and cleaning the incoming streams is an essential prerequisite to allow for a reliable and complete data pool, essential for a profound analysis process.

    4

    Analysis & Clear Reporting

    Advanced insights are unlocked using a suite of dedicated algorithms based on physics as well as AI approaches. Surprises are avoided, standstills reduced, product quility optimized and operational life extended.

  •  

    Still curious? Let Yves explain it to you.

     

  • broken image

    Predict failure before it happens

    Prevention is key!

  • Features

    All calculated automatically & continuously by our Virtual Engineers, as everything is connected

    Machine or installation health

    Knowing that your machine is going to fail is essential. Our monitoring tools collect data all the time and our algorithms translate it into insights and predictions related to their state-of-health. When things threaten to go wrong, you receive a warning

    Product quality improvement

    Coupling to existing databases or using human input fields the product quality is linked to operational process parameters.

    Failure Prediction

    We are not just looking at past failures and component failure catalogs. We are monitoring the actual data coming out of the actual installation or machine and translate this into predictions using physics, domain knowledge and a bit of AI where relevant.

    Availability

    Have a continuous idea of availability, automatically as the platform combines different input streams and contextual information.

    Energy Efficiency

    When tracking electrical data with high resolution, machien failure can be identified, but also energy consumption calculated, and correlated to the way the installation is operated (settings and parameters)

    Performance

    Based on the data collected and machine-learning based methods for determining the operational condition the performance is calculated.

    Warnings

    Whenever values start to deviate, or data streams stop, warnings are sent. This avoids 'black holes' in the insights of the production line or assets.

    MTTF

    The Mean Time Till Failure is tracked continuously, for each asset covered the overall 'disturbance free' operation is displayed.

    MTBF

    As events and operating conditions are automatically detected the Mean Time Between Failures is determined continuously, giving a good insight on where optimisation is possible.

    OEE

    Using all parameters cited above the Overall Equipment Effectiveness is determined, a major parameter for optimising asset management strategies and future investments, with a huge cost savings potential.

    Factory information systems

    Such systems are crucial for obtaining operational excellence. When well managed they maximise efficiency and effectiveness. Automated data collection and advanced analysis makes this possible.

  • Contact Us

    Don't be afraid to reach out. You + us = awesome.

    Witte Patersstraat 4
    +32 2 737 67 32
    +32 2 737 67 32
    info@zensor.be
Cookie Use
We use cookies to ensure a smooth browsing experience. By continuing we assume you accept the use of cookies.
Learn More