A cooking appliance includes a main body forming a machine room; a cooking chamber arranged below the machine room; an intermediate flow path including a first suction port and formed between the machine room and the cooking chamber; and a fan configured to suction air into the intermediate flow path, wherein the machine room includes a second suction port through which air is suctioned, and an opening portion connected to the intermediate flow path, the opening portion includes a first opening portion and a second opening portion arranged at a farther distance from the fan than the first opening portion, and the second opening portion has an area larger than an area of the first opening portion.

A cooking appliance includes a main body forming a machine room; a cooking chamber arranged below the machine room; an intermediate flow path including a first suction port and formed between the machine room and the cooking chamber; and a fan configured to suction air into the intermediate flow path, wherein the machine room includes a second suction port through which air is suctioned, and an opening portion connected to the intermediate flow path, the opening portion includes a first opening portion and a second opening portion arranged at a farther distance from the fan than the first opening portion, and the second opening portion has an area larger than an area of the first opening portion.

The present disclosure relates to an artificial intelligence (AI) system for simulating functions, such as recognition and determination, of the human brain by using a machine learning algorithm such as deep learning, and an application thereof. Provided are an automatic cooking device and method for selectively emitting light of different wavelength bands to a food material, identifying the food material by obtaining information about the food material, based on reflected light, and controlling a cooking process of the food material.

The present disclosure relates to an artificial intelligence (AI) system for simulating functions, such as recognition and determination, of the human brain by using a machine learning algorithm such as deep learning, and an application thereof. Provided are an automatic cooking device and method for selectively emitting light of different wavelength bands to a food material, identifying the food material by obtaining information about the food material, based on reflected light, and controlling a cooking process of the food material.

A control panel assembly for an appliance with features for securing a backing plate to a control panel frame to maintain a high quality fit, feel, and finish of the control panel assembly is provided. In particular, the backing plate includes a plurality of securing tabs for securing the backing plate against the control panel frame. The backing plate also may include a plurality of spring tabs for securing the backing plate against the control panel frame.

A control panel assembly for an appliance with features for securing a backing plate to a control panel frame to maintain a high quality fit, feel, and finish of the control panel assembly is provided. In particular, the backing plate includes a plurality of securing tabs for securing the backing plate against the control panel frame. The backing plate also may include a plurality of spring tabs for securing the backing plate against the control panel frame.

A management system includes: a management device; and a terminal device. The management device includes: an acquisition unit that acquires device identification information and usage information, the device identification information identifying a heat cooking appliance, the usage information being obtained according to usage of the heat cooking appliance; and a tabulation unit that tabulates, for each store in which the heat cooking appliance corresponding to the device identification information that has been acquired by the acquisition unit is installed, the usage information having been acquired by the acquisition unit. The terminal device acquires tabulated result tabulated by the tabulation unit, and outputs, to an output, the acquired tabulated result.

A management system includes: a management device; and a terminal device. The management device includes: an acquisition unit that acquires device identification information and usage information, the device identification information identifying a heat cooking appliance, the usage information being obtained according to usage of the heat cooking appliance; and a tabulation unit that tabulates, for each store in which the heat cooking appliance corresponding to the device identification information that has been acquired by the acquisition unit is installed, the usage information having been acquired by the acquisition unit. The terminal device acquires tabulated result tabulated by the tabulation unit, and outputs, to an output, the acquired tabulated result.

Methods for operating an oven appliance, as provided herein, may include various steps for activating top and bottom heating elements (e.g., at overlapping times) prior to limiting activation of one of the heating elements based on one or more received temperature signals.

A pressure-type alcohol stove includes a stove body, an upper cover, a pre-heating pipe, and an automatic liquid-feeding device, wherein the upper cover is arranged on the stove body and is matched with the stove body to form a vaporization cavity, the pre-heating pipe penetrates through the upper cover and has a bottom end located in the stove body and a top end partially stretching out of the upper cover, a pre-heating cavity is formed around the pre-heating pipe, spirally-distributed spray holes are formed through the upper cover, air jet holes used for air jetting and pre-mixing are formed through an upper part of in the pre-heating pipe.