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  • Our Approach
  • About us 
    • Vision and mission
    • Our team
    • Work for us
    • Awards
    • Blog
  • Manufacturing
  • Infrastructure
  • …  
    • Our Approach
    • About us 
      • Vision and mission
      • Our team
      • Work for us
      • Awards
      • Blog
    • Manufacturing
    • Infrastructure
    Contact us
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    • Our Approach
    • About us 
      • Vision and mission
      • Our team
      • Work for us
      • Awards
      • Blog
    • Manufacturing
    • Infrastructure
    • …  
      • Our Approach
      • About us 
        • Vision and mission
        • Our team
        • Work for us
        • Awards
        • Blog
      • Manufacturing
      • Infrastructure
      Contact us
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      • 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).

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        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
        Show me the features
      • "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.

         

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        Predict failure before it happens

        Prevention is key!

        Find asset specific solutions
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        Operational status

        Often the most basic statistics are available but not visualised to key stakeholder, hindering them to make better informed decisions.

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        Weather modules

        Using API connections from nearby weather stations, you can see what your outdoor asset is being influenced by.

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        How far has your asset traveled?

        In combination with your operational data, monitor the activity of your asset by knowing how far it has traveled, with or without load, and track the evolution over time.

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        Health status

        See the past and present events, related to specific types of parameters, which can help you plan and predict the next intervention.

      • 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.

      • Hey you 👋 don't forget to keep up to date

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      • 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
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