WO2023068493A1 - Dispositif de séchage et son procédé de commande - Google Patents
Dispositif de séchage et son procédé de commande Download PDFInfo
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- WO2023068493A1 WO2023068493A1 PCT/KR2022/010532 KR2022010532W WO2023068493A1 WO 2023068493 A1 WO2023068493 A1 WO 2023068493A1 KR 2022010532 W KR2022010532 W KR 2022010532W WO 2023068493 A1 WO2023068493 A1 WO 2023068493A1
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- Prior art keywords
- drying
- request
- additional
- processor
- level
- Prior art date
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Images
Classifications
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F58/00—Domestic laundry dryers
- D06F58/32—Control of operations performed in domestic laundry dryers
- D06F58/34—Control of operations performed in domestic laundry dryers characterised by the purpose or target of the control
- D06F58/36—Control of operational steps, e.g. for optimisation or improvement of operational steps depending on the condition of the laundry
- D06F58/38—Control of operational steps, e.g. for optimisation or improvement of operational steps depending on the condition of the laundry of drying, e.g. to achieve the target humidity
-
- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
- D06F34/04—Signal transfer or data transmission arrangements
- D06F34/05—Signal transfer or data transmission arrangements for wireless communication between components, e.g. for remote monitoring or control
-
- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
- D06F34/14—Arrangements for detecting or measuring specific parameters
- D06F34/18—Condition of the laundry, e.g. nature or weight
-
- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
- D06F34/14—Arrangements for detecting or measuring specific parameters
- D06F34/20—Parameters relating to constructional components, e.g. door sensors
-
- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
- D06F34/28—Arrangements for program selection, e.g. control panels therefor; Arrangements for indicating program parameters, e.g. the selected program or its progress
- D06F34/30—Arrangements for program selection, e.g. control panels therefor; Arrangements for indicating program parameters, e.g. the selected program or its progress characterised by mechanical features, e.g. buttons or rotary dials
-
- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
- D06F34/28—Arrangements for program selection, e.g. control panels therefor; Arrangements for indicating program parameters, e.g. the selected program or its progress
- D06F34/34—Arrangements for program selection, e.g. control panels therefor; Arrangements for indicating program parameters, e.g. the selected program or its progress characterised by mounting or attachment features, e.g. detachable control panels or detachable display panels
-
- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F58/00—Domestic laundry dryers
- D06F58/32—Control of operations performed in domestic laundry dryers
- D06F58/34—Control of operations performed in domestic laundry dryers characterised by the purpose or target of the control
- D06F58/46—Control of the operating time
Definitions
- the present disclosure relates to a drying apparatus and a control method thereof, and more particularly, to a drying apparatus and a control method for drying a dried product.
- drying devices providing various functions are being developed.
- the drying device provides various courses such as standard drying, quick drying, shirt drying, time drying, AI customized drying, delicate clothes, wool, blankets, towels, blow drying, and the like.
- the drying device may provide a current operating state of the drying device or request management from the user after checking the drying device state.
- drying may not be performed to the degree desired by the user in the case of a user's wrong course selection or a drying object such as a blanket.
- the drying device does not reflect the previous drying history and performs the same drying operation, and excessive drying may cause damage to the dried product.
- the user may directly change the drying setting, but it is difficult to set the drying operation so that the dried product does not deteriorate because the user cannot objectively determine the humidity state of the firstly dried product.
- a drying device includes a drying unit and a processor that controls an operation of the drying unit, and when a drying request is received, the processor sends the drying request to the drying unit. Identifies whether it is an initial drying request or an additional drying request for the building, and if the drying request is identified as the additional drying request, additional drying of the building is performed based on a drying operation method corresponding to a previous drying request for the building.
- the drying unit may be controlled to perform an operation.
- the building to be dried is a first building
- the drying device further includes a memory storing weight information of a second building dried immediately before receiving the drying request and humidity information of the second building
- the processor identifies at least one of weight information and humidity information of the first building, and identifies whether the drying request is the initial drying request or the additional drying request based on the identified information and the information stored in the memory.
- the memory further stores door opening/closing information of the drying apparatus after a drying operation immediately before the drying request is received, and the processor determines whether the drying request is the first drying request by further considering the door opening/closing information. Alternatively, it may be identified whether the additional drying request is requested.
- the processor controls the drying unit to perform the additional drying operation based on the drying operation method when the drying request is the additional drying request and the drying level of the drying operation method is greater than or equal to a threshold level, and the drying level is Indicates one of a plurality of drying times for each drying course, and the drying course may be classified based on at least one of a type of drying material and a drying method.
- the processor controls the drying unit to perform an additional drying operation for the dried object by changing at least one of a drying temperature, a drying time, and a drying end determination condition of the drying operation method.
- the processor changes at least one of the drying time or the drying end determination condition and the drying temperature, and the drying operation method changes the drying operation method to the plurality of drying courses.
- the second drying course which is the remainder of the drying courses, at least one of the drying time and the drying end determination condition may be changed.
- the processor provides a message for reconfirming the drying level to the user, and if the drying level is input from the user, the drying operation is performed.
- the drying unit controls the drying unit to perform the additional drying operation based on the drying method and the input drying level, wherein the drying level indicates one of a plurality of drying times for each drying course, and the drying course is one of a drying type and a drying method. It can be classified based on at least one.
- the processor determines the drying temperature of the drying operation method, the drying end determination condition, or the drying time corresponding to the input drying level.
- the drying unit may be controlled to perform an additional drying operation on the dried product by changing at least one of the above.
- the processor changes at least one of the drying end determination condition or the drying time corresponding to the input drying level and the drying temperature,
- the drying operation method is the second drying course that is the remainder of the plurality of drying courses, at least one of the drying end determination condition and the drying time corresponding to the input drying level may be changed.
- the processor identifies the number of times the additional drying request is input, and if the number of times the additional drying request is input is two or more, the drying operation method corresponding to the initial drying request; and
- the drying unit may be controlled to perform an additional drying operation for the dried object based on a drying operation method corresponding to at least one additional drying request prior to the drying request.
- a control method of a drying apparatus includes receiving a drying request, identifying whether the drying request is an initial drying request for a dried product or an additional drying request for the dried product, and the drying and if the request is identified as the additional drying request, performing an additional drying operation for the building based on a drying operation method corresponding to a previous drying request for the building.
- the building to be dried is a first building
- the control method further includes storing weight information of a second building dried immediately before the drying request is received and humidity information of the second building,
- the identifying step may include identifying at least one of weight information or humidity information of the first building, and identifying whether the drying request is the initial drying request or the additional drying request based on the identified information and the stored information. can do.
- the door opening and closing information of the drying apparatus is stored after a drying operation immediately before the drying request is received, and in the identifying step, the drying request is determined by further considering the door opening and closing information. Whether it is a drying request or the additional drying request may be identified.
- the performing of the additional drying operation may include performing the additional drying operation based on the drying operation method when the drying request is the additional drying request and the drying level of the drying operation method is equal to or higher than a threshold level, and denotes one of a plurality of drying times for each drying course, and the drying course may be classified based on at least one of a drying type and a drying method.
- the drying request is the additional drying request
- at least one of a drying temperature, a drying time, or a drying end determination condition of the drying operation method is changed to perform an additional drying operation for the dried object. can do.
- the drying apparatus when an additional drying request is input, the drying apparatus performs an additional drying operation based on a previous drying operation method, thereby preventing damage to the dried product and enabling efficient drying.
- drying apparatus identifies whether the user's drying command is an additional drying request, user convenience is improved.
- FIG. 1 is a block diagram for explaining the configuration of a drying apparatus according to an embodiment of the present disclosure.
- FIG. 2 is a block diagram showing a detailed configuration of a drying apparatus according to an embodiment of the present disclosure.
- FIG. 3 is a flowchart illustrating an additional drying operation according to an embodiment of the present disclosure.
- FIG. 4 is a diagram for explaining a drying course and a drying level according to an embodiment of the present disclosure.
- 5 and 6 are diagrams for explaining an additional drying command according to various embodiments of the present disclosure.
- FIG. 7 is a diagram for explaining an artificial intelligence model for identifying a type of a dry command according to an embodiment of the present disclosure.
- FIG. 8 is a diagram for explaining an artificial intelligence model for identifying drying options according to an embodiment of the present disclosure.
- FIG. 9 is a flowchart illustrating a method of controlling a drying apparatus according to an embodiment of the present disclosure.
- expressions such as “has,” “can have,” “includes,” or “can include” indicate the existence of a corresponding feature (eg, numerical value, function, operation, or component such as a part). , which does not preclude the existence of additional features.
- the term user may refer to a person using the drying device or a device (eg, an artificial intelligence device) using the drying device.
- a device eg, an artificial intelligence device
- the present disclosure has been made in view of the above needs, and an object of the present disclosure is to provide a drying apparatus and a control method for efficiently performing an additional drying operation according to an additional drying request (command).
- FIG. 1 is a block diagram for explaining the configuration of a drying apparatus 100 according to an embodiment of the present disclosure.
- the drying device 100 may be a device for removing moisture from dry matter.
- the drying device 100 may evaporate moisture from the dried product using heat or wind.
- the drying device 100 may generate heat or wind using gas or electricity to evaporate moisture in the dried product.
- the drying device 100 may include a fan, and generate hot air by the fan to evaporate moisture.
- the drying device 100 may mechanically separate moisture.
- the drying device 100 may remove moisture by centrifugal force generated by high-speed rotation.
- the drying device 100 may be implemented to use the methods described above in combination, and any device may be used as long as it is a device for removing moisture.
- a drying device 100 includes a drying unit 110 and a processor 120 .
- the drying unit 110 may be configured to remove moisture.
- the drying unit 110 may be implemented as a fan for generating wind.
- the drying unit 110 may be a device that generates heat.
- the drying unit 110 may include a fan to generate hot air.
- the drying unit 110 may be implemented in a form capable of high-speed rotation. In this case, the drying unit 110 may include a space in which dry matter is put.
- the drying unit 110 dries the dried product with hot air.
- the drying unit 110 uses wind or rotates at high speed, it may be implemented in a form excluding parts related to temperature in the following description.
- the processor 120 controls the overall operation of the drying device 100 .
- the processor 120 may be connected to each component of the drying device 100 to control the overall operation of the drying device 100.
- the processor 120 may be connected to components such as the drying unit 110, a memory (not shown), a display (not shown), and a communication interface (not shown) to control the operation of the drying device 100. there is.
- the processor 120 may be implemented as a digital signal processor (DSP), a microprocessor, or a time controller (TCON). However, it is not limited thereto, and the central processing unit ( central processing unit (CPU)), micro controller unit (MCU), micro processing unit (MPU), controller, application processor (AP), or communication processor (CP), ARM processor
- the processor 120 may be implemented as a System on Chip (SoC) having a built-in processing algorithm, a large scale integration (LSI), or an FPGA ( It may be implemented in the form of a field programmable gate array).
- SoC System on Chip
- the processor 120 may identify whether the drying command is an initial drying command for the material to be dried (referred to as a first drying command for convenience of explanation) or an additional drying command for the first drying object.
- the drying apparatus 100 may further include a memory storing weight information about the second dried object and humidity information about the second dried object dried immediately before the drying command is received.
- the processor 120 may identify at least one of weight information and humidity information of the first building, and identify whether the drying command is an initial drying command or an additional drying command based on the identified information and the information stored in the memory. For example, if the difference between the weight of the first building and the weight of the second building is within a first threshold value, the processor 120 identifies the first building as the same as the second building, and identifies the drying command as an additional drying command. can do.
- the processor 120 identifies the first building as the same as the second building, and identifies the drying command as an additional drying command. You may. Alternatively, the processor 120 may compare the weight and humidity of the first building and the second building to identify whether the drying command is an initial drying command or an additional drying command.
- the memory further stores door opening/closing information after the drying operation immediately before the drying command is received, and the processor 120 further considers the door opening/closing information to identify whether the drying command is an initial drying command or an additional drying command. .
- the processor 120 determines that the second building is dry even if the weight difference between the first building and the second building is within a first threshold value and the humidity difference between the first building and the second building is within a second threshold value. If the difference between the opening and closing time of the door after the operation and the opening and closing time of the door before the first building is inputted exceeds a critical time, the first building and the second building may be identified as different.
- the drying apparatus 100 may include a plurality of buttons for initial drying commands and additional drying commands, respectively.
- the user may operate a button corresponding to the additional drying command, and the drying apparatus 100 may perform an additional drying operation for the first dried object according to the additional drying command.
- the processor 120 may control the drying unit 110 to perform an additional drying operation for the first building based on a drying operation method corresponding to a previous drying command for the first building. there is. That is, if the processor 120 is identified as performing an additional drying operation on the first building, the processor 120 may perform the additional drying operation by changing an option of a previous drying operation method of the first building.
- the processor 120 may control the drying unit 110 to perform an additional drying operation based on the drying operation method when the drying command is an additional drying command and the drying level of the drying operation method is equal to or higher than the threshold level.
- the drying level represents one of a plurality of drying times for each drying course, and the drying course may be classified based on at least one of a drying type and a drying method.
- the drying apparatus 100 may provide a plurality of drying courses such as standard drying, quick drying, shirt drying, time drying, AI custom drying, delicate clothes, wool, blankets, towels, blow drying, and the like.
- Each of the plurality of drying courses may provide a plurality of drying levels.
- a shirt course may provide multiple dryness levels such as very, more, normal, less, and damp. Drying time may decrease sequentially from very to damp.
- the drying time may be different according to the drying course. For example, the very of the blanket course may take longer to dry than the very of the wool course.
- drying level may also be implemented in any number of different ways, such as 'top, middle, bottom'.
- the processor 120 based on the drying operation method
- the drying unit 110 may be controlled to perform an additional drying operation.
- the processor 120 may additionally dry the first dried object by changing at least one of the drying temperature, drying time, or drying end determination condition of the drying operation method corresponding to the previous drying command.
- the drying unit 110 may be controlled to perform an operation.
- the processor 120 changes at least one of a drying time or a drying end determination condition and a drying temperature, and changes the drying temperature in the previous drying course. If the drying operation method corresponding to the command is the second drying course, which is the remainder of the plurality of drying courses, at least one of the drying time or the drying end determination condition may be changed. That is, the processor 120 may necessarily change the drying temperature in the case of the first preset drying course.
- the processor 120 may necessarily increase the drying temperature in addition to changing at least one of the drying time and the drying end determination condition.
- the processor 120 may change at least one of the drying time and the drying end determination condition. Wool may have a problem of shrinking when the temperature is raised, but the problem of shrinking is not serious even when the temperature is raised.
- the processor 120 may provide a message for reconfirming the drying level to the user.
- the processor 120 is configured to reconfirm the drying level to the user. message can be provided. This is to identify the user's intention for the additional drying command since the first drying command is a command requesting a state containing some amount of moisture. That is, in order to confirm whether the user has changed his mind and wants to be dry without moisture, or whether he wants to be dried more than the current state even though he can contain some moisture, the processor 120 reconfirms the drying level to the user. message can be provided.
- the processor 120 may control the drying unit 110 to perform an additional drying operation based on the drying operation method and the input drying level. That is, if the processor 120 is identified as performing an additional drying operation for the first building, the processor 120 performs the additional drying operation by changing the option of the previous drying operation method of the first building, but the drying level is determined by information input from the user. can be determined based on
- the processor 120 determines the drying temperature of the drying operation method, the drying end determination condition, or the drying level corresponding to the input drying level.
- the drying unit 110 may be controlled to perform an additional drying operation on the first dried object by changing at least one of the times.
- the processor 120 determines at least one of a drying end determination condition or a drying time corresponding to an input drying level and a drying temperature. , and if the drying operation method corresponding to the previous drying command is the second drying course that is the remainder of the plurality of drying courses, at least one of the drying end determination condition or the drying time corresponding to the input drying level may be changed.
- the processor 120 may change the drying temperature based on the drying course of the drying operation method corresponding to the previous drying command. Also, the processor 120 changes one of the drying time corresponding to the previous drying level or the drying time corresponding to the drying level newly input from the user based on the drying level of the drying operation method corresponding to the previous drying command. Additional drying operations may be performed.
- the processor 120 identifies the number of times the additional drying command is input, and if the number of times the additional drying command is input is two or more, the drying operation method corresponding to the initial drying command and the drying command before the drying command.
- the drying unit 110 may be controlled to perform an additional drying operation for the first dried object based on a drying operation method corresponding to at least one additional drying command of . That is, when an additional drying command is input two or more times, the processor 120 may perform an additional drying operation by considering all previous drying operation methods.
- the present invention is not limited thereto, and the processor 120 may perform an additional drying operation in consideration of only the drying operation method immediately before the additional drying command when an additional drying command is input two or more times.
- FIG. 2 is a block diagram showing a detailed configuration of a drying apparatus 100 according to an embodiment of the present disclosure.
- the drying device 100 may include a drying unit 110 and a processor 120 . Also, according to FIG. 2 , the drying apparatus 100 may further include a memory 130, a display 140, a user interface 150, a communication interface 160, and a speaker 170. Among the components shown in FIG. 2, detailed descriptions of the components shown in FIG. 1 and overlapping parts will be omitted.
- the memory 130 may refer to hardware that stores information such as data in an electrical or magnetic form so that the processor 120 or the like can access it. To this end, the memory 130 may be implemented with at least one hardware among non-volatile memory, volatile memory, flash memory, hard disk drive (HDD) or solid state drive (SSD), RAM, ROM, and the like. .
- At least one instruction or module necessary for the operation of the drying apparatus 100 or the processor 120 may be stored in the memory 130 .
- the instruction is a code unit instructing the operation of the drying apparatus 100 or the processor 120, and may be written in machine language, which is a language that a computer can understand.
- a module may be a set of instructions that perform a specific task of a unit of work.
- the memory 130 may store data that is information in units of bits or bytes capable of representing characters, numbers, images, and the like. For example, information about a building may be stored in the memory 130 . Also, a drying command type identification module, a drying operation module, and the like may be stored in the memory 130 . Here, each module may be implemented as a rule-based model or as a neural network model.
- the memory 130 is accessed by the processor 120, and instructions, modules or data may be read/written/modified/deleted/updated by the processor 120.
- functions related to artificial intelligence according to the present disclosure are operated through the processor 120 and the memory 130.
- Processor 120 may be composed of one or a plurality of processors.
- the one or more processors may be a general-purpose processor such as a CPU, an AP, or a digital signal processor (DSP), a graphics-only processor such as a GPU, or a vision processing unit (VPU), or an artificial intelligence-only processor such as an NPU.
- DSP digital signal processor
- GPU graphics-only processor
- VPU vision processing unit
- NPU an artificial intelligence-only processor
- One or more processors control input data to be processed according to predefined operating rules or artificial intelligence models stored in a memory.
- the processors dedicated to artificial intelligence may be designed as a hardware structure specialized for processing a specific artificial intelligence model.
- a predefined action rule or artificial intelligence model is characterized in that it is created through learning.
- a basic artificial intelligence model is learned using a plurality of learning data by a learning algorithm, and a predefined action rule or artificial intelligence model set to perform a desired characteristic (or purpose) is created. means burden.
- Such learning may be performed in the device itself in which artificial intelligence according to the present disclosure is performed, or may be performed through a separate server and/or system.
- Examples of learning algorithms include supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but are not limited to the above examples.
- An artificial intelligence model may be composed of a plurality of neural network layers.
- Each of the plurality of neural network layers has a plurality of weight values, and a neural network operation is performed through an operation between an operation result of a previous layer and a plurality of weight values.
- the plurality of weights of the plurality of neural network layers may be optimized according to the learning result of the artificial intelligence model. For example, a plurality of weights may be updated to reduce or minimize a loss value or a cost value obtained from an artificial intelligence model during a learning process.
- the artificial neural network may include a deep neural network (DNN), for example, a Convolutional Neural Network (CNN), a Deep Neural Network (DNN), a Recurrent Neural Network (RNN), a Restricted Boltzmann Machine (RBM), A deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), or deep Q-networks, but is not limited to the above examples.
- DNN deep neural network
- CNN Convolutional Neural Network
- DNN Deep Neural Network
- RNN Recurrent Neural Network
- RBM Restricted Boltzmann Machine
- BBN Restricted Boltzmann Machine
- BBN deep belief network
- BNN bidirectional recurrent deep neural network
- Q-networks deep Q-networks
- the display 140 may be implemented with various types of displays such as a liquid crystal display (LCD), an organic light emitting diode (OLED) display, and a plasma display panel (PDP).
- the display 140 may also include a driving circuit, a backlight unit, and the like, which may be implemented in the form of an a-si TFT, a low temperature poly silicon (LTPS) TFT, or an organic TFT (OTFT).
- the display 140 may be implemented as a touch screen combined with a touch sensor, a flexible display, a 3D display, and the like.
- the user interface 150 may be implemented as a button, a touch pad, a mouse and a keyboard, or may be implemented as a touch screen capable of simultaneously performing the above-described display function and manipulation input function.
- the buttons may be various types of buttons such as mechanical buttons, touch pads, wheels, etc. formed on an arbitrary area such as the front, side, or rear surface of the main body of the drying apparatus 100 .
- a user may input a drying command through the user interface 150 .
- the communication interface 160 is a component that performs communication with various types of external devices according to various types of communication methods.
- the drying device 100 may receive a user command for controlling the drying device 100 from an external device through the communication interface 160 .
- the communication interface 160 may include a WiFi module, a Bluetooth module, an infrared communication module, and a wireless communication module.
- each communication module may be implemented in the form of at least one hardware chip.
- the Wi-Fi module and the Bluetooth module perform communication using the Wi-Fi method and the Bluetooth method, respectively.
- various types of connection information such as an SSID and a session key are first transmitted and received, and various types of information can be transmitted and received after a communication connection is established using the same.
- the infrared communication module performs communication according to infrared data association (IrDA) technology that transmits data wirelessly over a short distance using infrared rays between visible rays and millimeter waves.
- IrDA infrared data association
- the wireless communication module can use Zigbee, 3rd Generation (3G), 3rd Generation Partnership Project (3GPP), Long Term Evolution (LTE), LTE Advanced (LTE-A), 4th Generation (4G), 5G (5th Generation) may include at least one communication chip that performs communication according to various wireless communication standards.
- 3G 3rd Generation
- 3GPP 3rd Generation Partnership Project
- LTE Long Term Evolution
- LTE-A LTE Advanced
- 4th Generation (4G) may include at least one communication chip that performs communication according to various wireless communication standards.
- the communication interface 160 may include a wired communication interface such as HDMI, DP, Thunderbolt, USB, RGB, D-SUB, DVI, and the like.
- the communication interface 160 may include at least one of a local area network (LAN) module, an Ethernet module, or a wired communication module that performs communication using a pair cable, a coaxial cable, or an optical fiber cable.
- LAN local area network
- Ethernet Ethernet
- wired communication module that performs communication using a pair cable, a coaxial cable, or an optical fiber cable.
- the speaker 170 is a component that outputs not only various types of audio data processed by the processor 120 but also various notification sounds or voice messages.
- the processor 120 may output a sound indicating an operating state of the drying device 100, a sound indicating a change in the operating state, a request sound for reconfirming the drying level, and the like through the speaker 170.
- the drying device 100 may include a space for storing dry matter.
- the drying device 100 may include a space for accommodating dried materials in the form of a drying basket or a drying drum.
- the drying device 100 and a space for storing dry matter may be implemented in a separate form.
- there is a separate device including a space for accommodating dry matter and the drying device 100 is disposed adjacent to the separate device, and it is possible to perform a drying operation by supplying hot air to the space where the dry matter is stored. .
- the drying apparatus 100 performs an additional drying operation based on a previous drying operation method, thereby preventing damage to the dried product and efficiently drying it.
- FIGS. 3 to 8 describe individual embodiments for convenience of description. However, the individual embodiments of FIGS. 3 to 8 may be implemented in any combination.
- FIG. 3 is a flowchart illustrating an additional drying operation according to an embodiment of the present disclosure.
- the processor 120 may start a drying operation (S310). For example, when a drying command is received from a user, the processor 120 may start a drying operation according to the received drying command.
- the drying operation may be an initial drying operation or an additional drying operation.
- the drying operation ends (S320), and the processor 120 may identify whether additional drying is required (S330).
- the processor 120 may receive an additional drying command from a user.
- the processor 120 may receive a drying command from the user, identify whether the currently loaded dry matter has been subjected to a drying operation within the previous threshold time, and identify whether additional drying is required.
- the processor 120 may detect the humidity of the dried object after the drying operation is finished, and may provide a message suggesting additional drying to the user if the detected humidity is greater than or equal to a critical humidity.
- a critical humidity hereinafter, for convenience of description, it will be described that the user inputs an additional drying command.
- the processor 120 terminates the drying operation, and when it is identified that additional drying is required and the dried product is put into the drying apparatus 100 (S340), it can identify whether it is the same dried product. (S350).
- the processor 120 may detect at least one of the weight or humidity of the dried product and store the detected information in the memory 130 .
- the processor 120 may detect at least one of the weight or humidity of the dried product. The processor 120 may compare the two detection results to identify whether the input dry item is the same as the previous dried item.
- the processor 120 may identify whether the drying level of the previous drying is equal to or higher than a threshold level (S360). If the dryness level of the previous drying is less than the critical level, the processor 120 may reconfirm the dryness level to the user (S370). Thereafter, the processor 120 may change the drying option based on the drying level input from the user (S390).
- the processor 120 may identify a drying option to be changed by using previous course information when the drying level of the previous drying is equal to or higher than the critical level. For example, the processor 120 may change the drying temperature based on whether the previous course information is a temperature-sensitive drying course. For example, the processor 120 may maintain the drying temperature in the case of a wool course because the fabric may shrink when drying at a high temperature in the case of fabric such as wool. On the other hand, if the previous course information is a drying course such as a blanket or towel that is not sensitive to temperature, the processor 120 may increase the drying temperature for reliable drying.
- the processor 120 may change the drying time based on the drying level when the previous course information is a drying course in which a drying level can be set.
- the processor 120 may change the drying end determination condition in the case of a drying course for determining whether to end drying based on moisture independently of time, such as AI drying.
- the drying device 100 may include at least one sensor for detecting moisture in the dried material, and the processor 120 may determine whether the dryer is finished based on the number of times the at least one sensor detects moisture during a certain period of time. there is.
- a drying operation may be terminated based on one of a drying time and a drying end determination condition. That is, the processor 120 may change one of the drying time and the drying end determination condition.
- the present invention is not limited thereto, and the processor 120 may end the drying operation at an earlier point in time between the lapse of the drying time and the achievement of the condition for determining the end of drying.
- the processor 120 may terminate the drying operation based on the drying termination determination condition in the additional drying operation.
- the processor 120 may change the drying option (S390) and perform an additional drying operation based on the changed drying option (S310). For example, when changing the drying temperature, the processor 120 may change the drying temperature to the highest existing one. For example, when the drying unit 110 is turned on when the temperature of the hot air is 39 degrees during the previous drying operation and the drying unit 110 is turned off when the temperature of the hot air is 45 degrees, the processor 120 performs the additional drying operation. When the temperature of the hot air is 45 degrees, the drying unit 110 may be turned on, and when the temperature of the hot air is 52 degrees, the drying unit 110 may be turned off. That is, the processor 120 may perform drying more reliably by increasing the temperature of the hot air at which the drying unit 110 operates.
- the processor 120 may change the drying time.
- the drying time may be changed based on a drying level of a previous drying operation or a drying level input from a user.
- the processor 120 when changing the drying time based on the drying level of the previous drying operation, the processor 120 performs an additional drying operation during the drying time obtained by reducing the drying time corresponding to the drying level of the previous drying operation by a critical ratio. can do.
- the processor 120 when changing the drying time based on the drying level input from the user, the processor 120 may perform an additional drying operation during the drying time obtained by reducing the drying time corresponding to the drying level input from the user by a critical ratio. there is.
- the processor 120 may change the drying end determination condition in a more stringent manner.
- the drying apparatus 100 includes at least one sensor for detecting moisture in dried matter, and in a previous drying operation, a case where the number of times the at least one sensor detected moisture for 1 minute was recorded as less than three times was recorded. Assuming that the case of two consecutive times is the drying end determination condition, the processor 120 determines that the number of times that at least one sensor detects moisture for 1 minute is recorded as less than three times in an additional drying operation is three consecutive times. may be used as a condition for determining the end of drying. Alternatively, the processor 120 may use the case where the number of times that at least one sensor detects moisture for 1 minute in the additional drying operation is recorded as less than twice is two consecutive times as the drying end determination condition.
- an additional drying operation is performed for the same building, but is not limited thereto.
- the processor 120 may perform an additional drying operation regardless of whether the product is the same or not.
- the processor 120 may perform an additional drying operation for the dried object based on a drying operation method corresponding to the previous drying command.
- FIG. 4 is a diagram for explaining a drying course and a drying level according to an embodiment of the present disclosure.
- the drying device 100 may provide a plurality of drying courses.
- the drying apparatus 100 can be used for various types of drying such as standard drying, quick drying, shirt drying, time drying, AI custom drying, delicate clothes, towels, blow drying, and the like. courses can be offered.
- the drying unit 110 is turned on when the temperature of the hot air is 45 degrees, the drying unit 110 is turned off when the temperature of the hot air is 52 degrees, and in the wool course, when the temperature of the hot air is 39 degrees, the drying unit ( 110) is turned on, and the drying unit 110 may be turned off when the temperature of the hot air is 45 degrees.
- the temperature at which the drying unit 110 of each course is turned on and off may vary.
- each course is divided by the temperature at which the drying unit 110 is turned on and off.
- each course may have different rotation speeds of the drying drum, for example, when the drying drum is provided, as well as the temperature at which the drying unit 110 is turned on and off.
- the duvet course may provide very, more, normal, less, or damp as dry levels
- the wool course may also provide very, more, normal, less, or damp as dry levels.
- Each of the other drying courses may also provide very, more, normal, less, or damp as the drying level. However, it is not limited thereto, and some drying courses may not provide a drying level.
- the drying time of the duvet course very is 95 minutes, and the drying time can be shortened as the level is changed to more, normal, less, and damp.
- the drying time of the wool course very is 55 minutes, and the drying time can be shortened as the level is changed to more, normal, less, and damp.
- the drying level is divided into drying times, but is not limited thereto.
- the drying level may be divided into the above-described drying end determination conditions.
- the drying level very of the duvet course is a drying end condition when at least one sensor records less than 3 times of detecting moisture for 1 minute and 5 consecutive cases are recorded, and more, normal, less, and damp As the level is changed, the number of consecutive times when the number of times that at least one sensor detects moisture for 1 minute is recorded as less than 3 times may decrease.
- 5 and 6 are diagrams for explaining an additional drying command according to various embodiments of the present disclosure.
- the drying apparatus 100 includes a display 140 , and the processor 120 may control the display 140 to display a message requesting additional drying to the user.
- the processor 120 may output a sound requesting additional drying to the user through the speaker 170 .
- the user may input an additional drying command by touching OK in FIG. 5 .
- the processor 120 may control the display 140 to display a message indicating that the additional drying operation is performed, or may output a sound indicating that the additional drying operation is performed through the speaker 170 .
- the drying apparatus 100 may include a first button 510 and a second button 520 as well as the display 140 .
- the processor 120 may identify that an initial drying command is input when the first button 510 is operated, and may identify that an additional drying command is input when the second button 520 is operated.
- the drying apparatus 100 may include a plurality of buttons, and it may be identified that an additional drying command is input by manipulating two or more buttons.
- the drying apparatus 100 may have various types of user interfaces and receive additional drying commands.
- the drying apparatus 100 has an interface different from a button, such as a dial, and may identify that an additional drying command is input by manipulating the dial.
- the drying apparatus 100 may include a touch display, and it may be identified that an additional drying command is input by manipulating the touch display.
- FIG. 7 is a diagram for explaining an artificial intelligence model for identifying a type of a dry command according to an embodiment of the present disclosure.
- the processor 120 may identify the type 730 of the dry command using the first artificial intelligence model 720 . Specifically, the processor 120 may input the drying history data 710 to the first artificial intelligence model 720 as input data to obtain the type 730 of the drying command as output data.
- the drying history data 710 may include at least one of weight information of a building, humidity information of a building, or door opening/closing information.
- the dried product may include both a dried product during a previous dryness operation and a current dried product.
- the first artificial intelligence model 720 may be a model that has been learned from an external server. However, the present invention is not limited thereto, and the processor 120 may additionally learn the first artificial intelligence model 720 after learning has been completed in real time. For example, even if the processor 120 identifies a drying command as an additional drying command through the first artificial intelligence model 720, when a command to cancel additional drying is input from the user, the processor 120 receives the cancellation command according to the first artificial intelligence model ( 720) may be updated.
- FIG. 8 is a diagram for explaining an artificial intelligence model for identifying drying options according to an embodiment of the present disclosure.
- the processor 120 may identify a drying option 830 using the second artificial intelligence model 820 . Specifically, the processor 120 may obtain the drying option 830 as output data by inputting the drying option data 810 to the second artificial intelligence model 820 as input data.
- the drying option data 810 may include at least one of a drying course and a drying level.
- the second artificial intelligence model 820 may be a model that has been learned from an external server. However, the present invention is not limited thereto, and the processor 120 may additionally learn the second artificial intelligence model 820 after learning has been completed in real time. For example, even if the drying option is identified through the second artificial intelligence model 820, the processor 120 updates the second artificial intelligence model 720 according to the change command when a command to change the drying option is input from the user. You may.
- FIG. 9 is a flowchart illustrating a method of controlling a drying apparatus according to an embodiment of the present disclosure.
- a drying command is received (S910). Then, it is identified whether the drying command is an initial drying command for the first building or an additional drying command for the first building (S920). If the drying command is an additional drying command, an additional drying operation for the first building is performed based on a drying operation method corresponding to the previous drying command for the first building (S930).
- the step of storing weight information of the second building and humidity information of the second building dried immediately before the drying command is received is further included, and the step of identifying (S920) is the weight information or humidity of the first building. At least one of the information may be identified, and based on the identified information and the stored information, whether the drying command is an initial drying command or an additional drying command may be identified.
- the identifying step further considers the door opening/closing information to determine whether the drying command is an initial drying command or an additional drying command. can be identified.
- the drying command is an additional drying command and the drying level of the drying operation method is equal to or greater than the critical level
- an additional drying operation is performed based on the drying operation method, and the drying level is determined by drying course. It indicates one of a plurality of drying times, and the drying course may be classified based on at least one of a drying type and a drying method.
- the drying command is an additional drying command
- at least one of the drying temperature, drying time, or drying termination determination condition of the drying operation method is changed to perform an additional drying operation for the first dried object. can do.
- the drying operation method is a predetermined first drying course among a plurality of drying courses, at least one of a drying time or a drying end determination condition and a drying temperature are changed, and the drying operation method is In the case of the second drying course, which is the remainder of the plurality of drying courses, at least one of the drying time or the drying end determination condition may be changed.
- the drying command is the additional drying command and the drying level of the drying operation method is less than the critical level
- a message for reconfirming the drying level is provided to the user, and the drying level is input from the user.
- an additional drying operation is performed based on the drying operation method and the input drying level, the drying level represents one of a plurality of drying times for each drying course, and the drying course is classified based on at least one of the drying type or drying method. It can be.
- the drying command is an additional drying command and the drying level of the drying operation method is less than the critical level, the drying temperature of the drying operation method, the drying end determination condition, or the input drying level corresponds to the input drying level.
- An additional drying operation for the first dried object may be performed by changing at least one of the drying times.
- the drying operation method is a predetermined first drying course among a plurality of drying courses, at least one of a drying end determination condition or a drying time corresponding to an input drying level and a drying temperature are set. and, if the drying operation method is the second drying course that is the remainder of the plurality of drying courses, at least one of the drying end determination condition or the drying time corresponding to the input drying level may be changed.
- the drying command is an additional drying command
- the step of identifying the number of times the additional drying command is input is further included, and the step of performing the additional drying command (S930) is based on the initial drying command if the number of additional drying commands is two or more.
- An additional drying operation for the first dried object may be performed based on the corresponding drying operation method and the drying operation method corresponding to at least one additional drying command prior to the drying command.
- the drying apparatus when an additional drying command is input, the drying apparatus performs an additional drying operation based on a previous drying operation method, thereby preventing damage to the dried product and efficiently drying it.
- drying apparatus identifies whether the user's drying command is an additional drying command, user convenience is improved.
- the various embodiments described above may be implemented as software including instructions stored in a machine-readable storage media (eg, a computer).
- the device is a device capable of calling commands stored in a storage medium and operating according to the called commands, and may include a drying device (eg, drying device A) according to the disclosed embodiments.
- a drying device eg, drying device A
- An instruction may include code generated or executed by a compiler or interpreter.
- the device-readable storage medium may be provided in the form of a non-transitory storage medium.
- 'non-temporary' only means that the storage medium does not contain a signal and is tangible, but does not distinguish whether data is stored semi-permanently or temporarily in the storage medium.
- the method according to the various embodiments described above may be included in a computer program product and provided.
- Computer program products may be traded between sellers and buyers as commodities.
- the computer program product may be distributed in the form of a device-readable storage medium (eg compact disc read only memory (CD-ROM)) or online through an application store (eg Play StoreTM).
- CD-ROM compact disc read only memory
- application store eg Play StoreTM
- at least part of the computer program product may be temporarily stored or temporarily created in a storage medium such as a manufacturer's server, an application store server, or a relay server's memory.
- the various embodiments described above use software, hardware, or a combination thereof in a recording medium readable by a computer or similar device. can be implemented in In some cases, the embodiments described herein may be implemented in a processor itself. According to software implementation, embodiments such as procedures and functions described in this specification may be implemented as separate software modules. Each of the software modules may perform one or more functions and operations described herein.
- Non-transitory computer-readable medium may be stored in a non-transitory computer-readable medium.
- Computer instructions stored in such a non-transitory computer readable medium when executed by a processor of a specific device, cause a specific device to perform a processing operation in the device according to various embodiments described above.
- a non-transitory computer readable medium is a medium that stores data semi-permanently and is readable by a device, not a medium that stores data for a short moment, such as a register, cache, or memory.
- Specific examples of the non-transitory computer readable media may include CD, DVD, hard disk, Blu-ray disk, USB, memory card, ROM, and the like.
- each of the components may be composed of a single object or a plurality of entities, and some sub-components among the aforementioned sub-components may be omitted, or other sub-components may be used. Components may be further included in various embodiments. Alternatively or additionally, some components (eg, modules or programs) may be integrated into one entity and perform the same or similar functions performed by each corresponding component prior to integration. According to various embodiments, operations performed by modules, programs, or other components are executed sequentially, in parallel, iteratively, or heuristically, or at least some operations are executed in a different order, are omitted, or other operations are added. It can be.
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- Computer Networks & Wireless Communication (AREA)
- Control Of Washing Machine And Dryer (AREA)
- Drying Of Solid Materials (AREA)
Abstract
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EP22883723.3A EP4343049A1 (fr) | 2021-10-22 | 2022-07-19 | Dispositif de séchage et son procédé de commande |
CN202280059499.6A CN117897531A (zh) | 2021-10-22 | 2022-07-19 | 干燥装置及其控制方法 |
US17/950,483 US20230126136A1 (en) | 2021-10-22 | 2022-09-22 | Drying apparatus and control method thereof |
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Citations (5)
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KR20070002438A (ko) * | 2005-06-30 | 2007-01-05 | 엘지전자 주식회사 | 의류건조기의 건조 제어방법 |
JP2016107063A (ja) * | 2014-11-28 | 2016-06-20 | 三星電子株式会社Samsung Electronics Co.,Ltd. | 乾燥機 |
JP2017119217A (ja) * | 2017-04-10 | 2017-07-06 | 東芝ライフスタイル株式会社 | 衣類乾燥機 |
JP2019148361A (ja) * | 2018-02-26 | 2019-09-05 | 株式会社木原製作所 | 循環式乾燥機とその乾燥方法及びその乾燥制御プログラム |
KR20200105026A (ko) * | 2019-02-28 | 2020-09-07 | 삼성전자주식회사 | 건조기 및 그의 제어 방법 |
-
2021
- 2021-10-22 KR KR1020210141790A patent/KR20230057710A/ko unknown
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2022
- 2022-07-19 WO PCT/KR2022/010532 patent/WO2023068493A1/fr active Application Filing
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
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KR20070002438A (ko) * | 2005-06-30 | 2007-01-05 | 엘지전자 주식회사 | 의류건조기의 건조 제어방법 |
JP2016107063A (ja) * | 2014-11-28 | 2016-06-20 | 三星電子株式会社Samsung Electronics Co.,Ltd. | 乾燥機 |
JP2017119217A (ja) * | 2017-04-10 | 2017-07-06 | 東芝ライフスタイル株式会社 | 衣類乾燥機 |
JP2019148361A (ja) * | 2018-02-26 | 2019-09-05 | 株式会社木原製作所 | 循環式乾燥機とその乾燥方法及びその乾燥制御プログラム |
KR20200105026A (ko) * | 2019-02-28 | 2020-09-07 | 삼성전자주식회사 | 건조기 및 그의 제어 방법 |
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