Archived

Further evidence is required for the development of decision support system comprised of mobile, modular, and autonomous sensors (e.g. gamma/alpha/beta, EO), as well as fixed assets and model input, which feed data into a nuclear data fusion engine which controls the overall system and assumes responsibilities of central operators.

Background

BEIS has committed to ending the UK’s contribution to global warming by achieving net zero greenhouse gas emissions by 2050. Our work towards becoming a leader in green technologies and clean energy will drive economic growth, all whilst accelerating global climate action through strong international leadership.

Next steps

Get in touch with ari.comment@go-science.gov.uk

Source

This question was published as part of the set of ARIs in this document:

Beis areas research interest interim update 2020

Related UKRI funded projects


  • Science of Sensor System Software

    Sensors are everywhere, facilitating real-time decision making and actuation, and informing policy choices. But extracting information from sensor data is far from straightforward: sensors are noisy, prone to decalibrate...

    Funded by: EPSRC

    Lead research organisation: University of Glasgow

    Why might this be relevant?

    The project partially answers the question by addressing the development of sensor systems in uncertain environments, but does not specifically mention nuclear data fusion or autonomous sensors.

  • Engineering Transformation for the Integration of Sensor Networks: A Feasibility Study - 'ENTRAIN'

    There is a need to make use of new digital data analysis techniques to improve our understanding of the environment. Data from a new generation of environmental sensors, combined with analyses based on Artificial Intelli...

    Funded by: SPF

    Lead research organisation: UK Centre for Ecology & Hydrology

    Why might this be relevant?

    The project partially answers the question by discussing the integration of sensor networks and the analysis of environmental sensor data, but does not specifically mention nuclear data fusion or autonomous sensors.

  • Zero-power multi-parameter sensing of complex events

    "Sensor Driven's zero-power technology detects measurement events whilst the sensor electronics is fully powered down. It does this by using negligible amounts of power from the sensor's output signal, radically red...

    Funded by: Innovate UK

    Lead research organisation: SENSOR DRIVEN LTD

    Why might this be relevant?

    The project partially answers the question by developing multi-parameter sensor systems and addressing the monitoring of complex events, but does not specifically mention nuclear data fusion or autonomous sensors.

  • Smart Products Made Smarter

    For high technology companies such as Leonardo engaging in innovative research that might not produce a commercial return on investment for up to 10 years or beyond is vital. Our vision is to enable a paradigm shift in h...

    Funded by: EPSRC

    Lead research organisation: Heriot-Watt University

  • System risks in information-rich environments: monitoring for safe and cost-effective operation

    The overall theme of this proposal is System risks in information-rich environments: monitoring for safe and cost-effective operation. Research in this area aims to support the design, manufacture and operation of new en...

    Funded by: EPSRC

    Lead research organisation: University of Strathclyde

Similar ARIs from other organisations