Life safety device with machine learning based analytics
AssigneeThe ADT Security Corporation
InventorRyan Nathanial Sandler
Life of this patent
Estimating the term…
Abstract
A detector is provided. The detector includes a sensor configured to detect airborne particulates at a premises and processing circuitry. The processing circuitry is configured to determine a characteristic associated with the detected airborne particulates, compare the characteristic associated with the detected airborne particles to data associated with predefined characteristics of burned materials, detect, based at least on the comparison, presence of a fire; and determine, if the presence of the fire is detected, a characteristic of the fire based on the characteristic associated with the detected airborne particles and the comparison.
Claims21
A detector, comprising:
- at least one sensor configured to detect airborne particulates at a premises;
- processing circuitry in communication with the at least one sensor, the processing circuitry configured to:
- determine at least one characteristic associated with the detected airborne particulates, the at least one characteristic associated with the detected airborne particulates comprises a composition of the detected airborne particulates;
- compare the at least one characteristic associated with the detected airborne particulates to data associated with predefined characteristics of burned materials, the predefined characteristic of burned materials comprises at least one of a smoke composition or a soot composition;
- detect, based at least on the comparison, a presence of a fire;
- and
- determine, if the presence of the fire is detected, at least one characteristic of the fire based on the at least one characteristic associated with the detected airborne particulates and the comparison.
A method implemented by a detector, the method comprising:
- detecting airborne particulates at a premises;
- determining at least one characteristic associated with the detected airborne particulates, the at least one characteristic associated with the detected airborne particulates comprises a composition of the detected airborne particulates;
- comparing the at least one characteristic associated with the detected airborne particulates to data associated with predefined characteristics of burned materials, the predefined characteristic of burned materials comprises at least one of a smoke composition or a soot composition;
- detecting, based at least on the comparison, a presence of a fire;
- and
- determining, if the presence of the fire is detected, at least one characteristic of the fire based on the at least one characteristic associated with the detected airborne particulates and the comparison.
A detector, comprising:
- at least one sensor configured to detect airborne particulates at a premises;
- processing circuitry configured to:
- determine at least one characteristic associated with the detected airborne particulates, the at least one characteristic associated with the detected airborne particulates comprises a composition of the detected airborne particulates;
- request data specific to the detected airborne particulates from a database to retrieve predefined characteristics of burned materials, the predefined characteristics of burned materials comprises at least one of a smoke composition or a soot composition;
- compare the at least one characteristic associated with the detected airborne particulates to the predefined characteristics of burned materials;
- detect, based at least on the comparison, a presence of a fire;
- determine, if the presence of the fire is detected, at least one characteristic of the fire based on the at least one characteristic associated with the detected airborne particulates and the comparison;
- and
- train a model to determine the at least one characteristic of the fire using machine learning.
Dependencies are inferred from the claim text.