THERMAL ANOMALY MANAGEMENT

Abstract: some embodiments relate to a method of managing thermal anomalies in an environment is described. a deep learning system is trained to identify thermal anomalies from recorded environment parameter data. a bayesian network is also trained to identify relationships between environment parameters, and the identified relationships are used to develop a causal explanation hierarchy. using these trained systems, environment parameters are measured first to identify a thermal anomaly, and on identification of a thermal anomaly, and then to provide a causal explanation hierarchy for the thermal anomaly. this enables a real-world intervention to address the thermal anomaly. a suitable system to perform this method is also described.

Inventor(s): Catriona CLARKE, Saiful HAQ, Fiaz SHAIK, Sachin RANE

CPC Classification: G01K1/026 ({arrangements for monitoring a plurality of temperatures, e.g. by multiplexing})

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