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    Ultrasonic Flow Monitoring

    Achieving state-of-the-art measurements

    A long-term partnership with a product manufacturer

    Our client was prototyping a flow-rate monitor for industrial pipelines based around non-intrusive ultrasonic technology, while aiming to achieve the accuracy only previously possible with in-flow devices.

     

    React AI were initially contacted by our client to advise on the IT and data analytics strategy for their product after significant organisational and personnel changes, starting with a review of their existing codebase. This developed into a three-year relationship, covering full-stack IT development alongside the data science research required to achieve their goals.

    The main tranche of research itself was in collaboration with our client and National Engineering Laboratory (now part of TÜV SÜD ), including significant time on-site at the NEL testing facility, to iteratively schedule tests as results were evaluated.

     

    A comprehensive data analysis by React AI demonstrated that, with suitable adjustments and by augmenting ultrasonic flow module data with accellerometer data, state-of-the-art measurement accuracy could be achieved. We also compared performance of neural nets trained on accellerometer data, with very positive results.

     

    Subsequent work also included distributed acoustic sensing analytics with neural nets, as the company looked to extend its capabilities.

    Screenshots from product UI and data visualisation

    Services Provided

     

    React AI worked closely with our client over several years, advising on many aspects of their development, with an emphasis on the data analytics.

     

    • Participation in workshops and product strategy sessions.
    • Code reviews.
    • Research into ultrasonic flow-rate monitoring.
    • Analytics design and implementation.
    • Real-time data logging over MQTT.
    • Real-time web-based product UI.
    • Documentation and reporting

     

    • Specialist Data Analysis
    • Acoustic signals
    • Neural Networks
    • Machine Learning
    • Bespoke Development
    • Real-time data
    • MQTT
    • Docker
    • Django Web Server
    • Reporting and Documentation