Method for predicting filter purifying efficiency and exchange time using machine learning
AssigneeLG Electronics Inc.
InventorYoungsub Kim
Life of this patent
Estimating the term…
Abstract
Disclosed is a method of predicting the lifespan of a filter in an air cleaner based on machine learning. According to an embodiment of the present disclosure, a machine learning-based filter lifespan prediction method may more precisely predict the lifespan of a filter in an air cleaner by inputting fine dust concentration data and a history related to use of the air cleaner to a lifespan prediction model and determining the purifying efficiency and exchange time of the filter according to an output value. Intelligent air cleaner of the present disclosure can be associated with artificial intelligence modules, drones (unmanned aerial vehicles (UAVs)), robots, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G service, etc.
Claims17
A method for predicting lifespan of a filter in an air cleaner, the method comprising:
- obtaining, via a sensor, first fine dust concentration data that includes a fine dust concentration of a space within which the air cleaner is placed;
- receiving, from an external server, second fine dust concentration data that includes an outdoor fine dust concentration in an outside area to where the air cleaner is placed;
- obtaining, from memory, history data related to usage of the air cleaner;
- providing the first fine dust concentration data, the second fine dust concentration data, and the history data, to a lifespan prediction model for generating an output value;
- determining a purifying efficiency and exchange time of the filter according to the output value;
- and calculating variation in fine dust concentration based on the first fine dust concentration data obtained from the sensor while operating the air cleaner and stopping the operating of the air cleaner based on the variation in the fine dust concentration being less than a preset threshold and the filter not being exchanged at an exchange time of the filter.
An intelligent air cleaner, comprising:
- a memory;
- a sensor;
- a transceiver;
- and
- a processor configured to:
- obtain, via the sensor, first fine dust concentration data that includes a fine dust concentration of a space within which the air cleaner is placed;
- receive, from an external server via the transceiver, second fine dust concentration data that includes an outdoor fine dust concentration in an outside area to where the air cleaner is placed;
- obtain, from the memory, history data related to usage of the air cleaner;
- provide the first fine dust concentration data, the second fine dust concentration data, and the history data, to a lifespan prediction model for generating an output value;
- determine a purifying efficiency and exchange time of the filter according to the output value;
- and calculate variation in fine dust concentration based on the first fine dust concentration data obtained from the sensor while operating the air cleaner;
- and stop the operating of the air cleaner based on the variation in the fine dust concentration being less than a preset threshold and the filter not being exchanged at an exchange time of the filter.
Dependencies are inferred from the claim text.