Predicting temperature rise event
First Claim
1. A firefighter protection method for predicting occurrence of a temperature rise event caused by a fire within an environment, comprising:
- receiving ambient air temperature data captured by at least one temperature sensor configured to sense an ambient air temperature within the environment, where at least one of the at least one temperature sensor is provided on a portable or wearable device which is portable or wearable by a firefighter;
processing the ambient air temperature data captured by the at least one temperature sensor in a previous window of time using a trained machine learning model to determine a risk indication indicative of a risk of the temperature rise event, which comprises a rise in the ambient air temperature within said environment, occurring in a future window of time, wherein the risk indication is based on one or more predicted ambient air temperature values for said future window of time predicted using the trained machine learning model;
when the risk indication satisfies a predetermined condition,outputting a temperature rise warning indication in dependence on the risk indication determined using the machine learning model;
wherein the temperature rise warning indication comprises at least one of;
an audible indication, a visual indication, and a vibrating indication; and
the processing comprises processing the ambient air temperature data captured by the at least one temperature sensor in successive sliding windows of time using the trained machine learning model, to determine the one or more predicted ambient air temperature values for corresponding future sliding windows of time.
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Accused Products
Abstract
A method is provided for predicting occurrence of a temperature rise event caused by a fire within an environment. The method comprises receiving temperature data captured by at least one temperature sensor 6, 8 for sensing an ambient temperature in the environment, processing the temperature data captured by the at least one temperature sensor in a previous window of time using a trained machine learning model 16 to determine a risk indication indicating risk of the temperature rise event occurring in a future window of time, and outputting a warning indication in dependence on the risk indication determined using the machine learning model. This is useful for providing firefighters with advance warning of dangerous temperature rises such as flashover events.
72 Citations
16 Claims
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1. A firefighter protection method for predicting occurrence of a temperature rise event caused by a fire within an environment, comprising:
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receiving ambient air temperature data captured by at least one temperature sensor configured to sense an ambient air temperature within the environment, where at least one of the at least one temperature sensor is provided on a portable or wearable device which is portable or wearable by a firefighter; processing the ambient air temperature data captured by the at least one temperature sensor in a previous window of time using a trained machine learning model to determine a risk indication indicative of a risk of the temperature rise event, which comprises a rise in the ambient air temperature within said environment, occurring in a future window of time, wherein the risk indication is based on one or more predicted ambient air temperature values for said future window of time predicted using the trained machine learning model; when the risk indication satisfies a predetermined condition, outputting a temperature rise warning indication in dependence on the risk indication determined using the machine learning model; wherein the temperature rise warning indication comprises at least one of;
an audible indication, a visual indication, and a vibrating indication; andthe processing comprises processing the ambient air temperature data captured by the at least one temperature sensor in successive sliding windows of time using the trained machine learning model, to determine the one or more predicted ambient air temperature values for corresponding future sliding windows of time. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16)
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15. Firefighter protection apparatus comprising:
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at least one temperature sensor configured to sense an ambient air temperature within an environment surrounding the apparatus, where at least one of the at least one temperature sensor is provided on a portable or wearable device which portable or wearable by a firefighter; and processing circuitry configured to; process the ambient air temperature data captured by the at least one temperature sensor in a previous window of time using a trained machine learning model to determine a risk indication indicative of a risk of a temperature rise event, which comprises a rise in the ambient air temperature within the environment, occurring in a future window of time, wherein the risk indication is based on one or more predicted ambient air temperature values for the future window of time predicted using the trained machine learning model; and when the risk indication satisfies a predetermined condition, control output of a temperature rise warning indication in dependence on the risk indication determined using the machine learning model; and wherein the temperature rise warning indication comprises at least one of;
an audible indication, a visual indication, and a vibrating indication; andthe processing circuitry is configured to process the ambient air temperature data captured by the at least one temperature sensor in successive sliding windows of time using the trained machine learning model, to determine the one or more predicted ambient air temperature values for corresponding future sliding windows of time.
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Specification