An electric pot of the present invention includes: an electric pot body provided with a heating unit and a control unit controlling the heating unit, and having a guide tube on a top surface thereof; a container member inserted into the guide tube to be disposed at an upper portion of the electric pot body, and receiving heat from the heating unit; a temperature sensing unit installed at the electric pot body to sense a temperature of water filling the container member; and a display unit receiving a signal from the control unit to display the temperature of the water.

An electric kettle includes a container in which water is received, and a base on which the container is seated, wherein the container includes a handle, a body defining space in which water is received, a lid configured to open and close an open upper surface of the body, a heating module mounted on the lower surface of the body and configured to heat water contained in the body, a capacitor; a memory; and a controller configured to detect a voltage of the capacitor according to a preset period and to perform a keep-warm operation based on voltage difference between a currently detected first voltage of the capacitor and a previously detected second voltage of the capacitor, and when the body is seated on the base, commercial power is supplied to the base, and the capacitor is charged by the power transmitted through the base.

A method for a food processor including a pot, a heating element for heating the pot and/or a food in the pot, and a temperature sensor for determining an actual temperature (T.sub.I) of the pot or the food in the pot, includes performing temperature control by a control device in a temperature control mode based on a desired temperature (T.sub.T) by adjusting an electrical energy supplied to the heating element in dependence on the actual temperature (T.sub.I) so that the actual temperature (T.sub.I) approaches or reaches the desired temperature (T.sub.T).

The present disclosure relates to an apparatus and a method for estimating a state of an object to be heated based on sound which is generated when the object to be heated is heated, and providing the estimated information to other devices in an Internet of Things (IoT) environment through a 5G communication network. The heating apparatus may include a housing having a receiving space therein, a heating member disposed within the housing, a power supplier for supplying power to the heating member, a top plate disposed on the top of the housing to support the object to be heated, a sound sensor disposed on the bottom of the top plate, and a controller for predicting the state of the object to be heated by using a deep neural network model that has been trained through machine learning based on a sound signal received from the sound sensor.

The present disclosure relates to an apparatus and a method for estimating a state of an object to be heated based on sound which is generated when the object to be heated is heated, and providing the estimated information to other devices in an Internet of Things (IoT) environment through a 5G communication network. The heating apparatus may include a housing having a receiving space therein, a heating member disposed within the housing, a power supplier for supplying power to the heating member, a top plate disposed on the top of the housing to support the object to be heated, a sound sensor disposed on the bottom of the top plate, and a controller for predicting the state of the object to be heated by using a deep neural network model that has been trained through machine learning based on a sound signal received from the sound sensor.

The present disclosure relates to an apparatus and a method for estimating a state of an object to be heated based on sound which is generated when the object to be heated is heated, and providing the estimated information to other devices in an Internet of Things (IoT) environment through a 5G communication network. The heating apparatus may include a housing having a receiving space therein, a heating member disposed within the housing, a power supplier for supplying power to the heating member, a top plate disposed on the top of the housing to support the object to be heated, a sound sensor disposed on the bottom of the top plate, and a controller for predicting the state of the object to be heated by using a deep neural network model that has been trained through machine learning based on a sound signal received from the sound sensor.

High-altitude protection logic for brewing devices is provided. An actual temperature of a liquid during a heating process is compared to a high-altitude temperature programmed into a controller. If the actual temperature rises to the high-altitude temperature before a default target temperature of the heating process, then one or more time periods may begin to run. If the actual temperature has not changed or the default target temperature has not been reached after a time period elapses, the high-altitude protection logic terminates the heating process. A maximum value of the actual temperature measured during the heating process may replace the programmed default target temperature for subsequent brewings. The new default target temperature may be used to inform and modify a target keep warm temperature for subsequent keep warm mode uses. These stored may be reset to initial program values if the device is disconnected from its power source.

A kettle has a container and a guiding board. The container has a body. The body has an upper segment, a lower segment, and a through hole defined in the lower segment and having a top edge and a bottom edge. The guiding board is attached securely to an inner surface of the lower segment of the body, covers the through hole, and has a guiding segment. The guiding segment is attached securely to the inner surface of the lower segment of the body at a position below the bottom edge of the through hole, is curved in cross section, extends upward and toward the central line of the body, is free from forming a through bore, and has a top edge higher than the bottom edge of the through hole and lower than the top edge of the through hole.

In one embodiment, a method for monitoring for boiling fluid in a kitchen environment by a smart hood apparatus includes accessing sensor data indicating one or more parameters of a cooking utensil detected by the smart hood apparatus from sensors associated with the smart hood apparatus, wherein the sensors comprise one or more of a camera, a thermal sensor, or an audio sensor, and wherein the cooking utensil contains fluid, determining information associated with boiling events associated with the fluid in the cooking utensil based on the sensor data by algorithms, wherein the information comprises at least a boiling time required for the fluid to boil, and sending instructions for presenting a notification comprising the information associated with the boiling events.

The present disclosure relates to an apparatus and a method for estimating a state of an object to be heated based on sound which is generated when the object to be heated is heated, and providing the estimated information to other devices in an Internet of Things (IoT) environment through a 5G communication network. The heating apparatus may include a housing having a receiving space therein, a heating member disposed within the housing, a power supplier for supplying power to the heating member, a top plate disposed on the top of the housing to support the object to be heated, a sound sensor disposed on the bottom of the top plate, and a controller for predicting the state of the object to be heated by using a deep neural network model that has been trained through machine learning based on a sound signal received from the sound sensor.