WO2017161800A1 - 一种智能食物处理器及智能食物处理方法 - Google Patents

一种智能食物处理器及智能食物处理方法 Download PDF

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Publication number
WO2017161800A1
WO2017161800A1 PCT/CN2016/095339 CN2016095339W WO2017161800A1 WO 2017161800 A1 WO2017161800 A1 WO 2017161800A1 CN 2016095339 W CN2016095339 W CN 2016095339W WO 2017161800 A1 WO2017161800 A1 WO 2017161800A1
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Prior art keywords
food
processed
motor
food processing
feedback signal
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PCT/CN2016/095339
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English (en)
French (fr)
Inventor
赵航
何栋
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主力智业(深圳)电器实业有限公司
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Publication of WO2017161800A1 publication Critical patent/WO2017161800A1/zh

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Classifications

    • AHUMAN NECESSITIES
    • A47FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47JKITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
    • A47J43/00Implements for preparing or holding food, not provided for in other groups of this subclass
    • A47J43/04Machines for domestic use not covered elsewhere, e.g. for grinding, mixing, stirring, kneading, emulsifying, whipping or beating foodstuffs, e.g. power-driven
    • AHUMAN NECESSITIES
    • A47FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47JKITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
    • A47J43/00Implements for preparing or holding food, not provided for in other groups of this subclass
    • A47J43/04Machines for domestic use not covered elsewhere, e.g. for grinding, mixing, stirring, kneading, emulsifying, whipping or beating foodstuffs, e.g. power-driven
    • A47J43/07Parts or details, e.g. mixing tools, whipping tools
    • AHUMAN NECESSITIES
    • A47FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47JKITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
    • A47J43/00Implements for preparing or holding food, not provided for in other groups of this subclass
    • A47J43/04Machines for domestic use not covered elsewhere, e.g. for grinding, mixing, stirring, kneading, emulsifying, whipping or beating foodstuffs, e.g. power-driven
    • A47J43/07Parts or details, e.g. mixing tools, whipping tools
    • A47J43/08Driving mechanisms
    • AHUMAN NECESSITIES
    • A47FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47JKITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
    • A47J2201/00Devices having a modular construction

Definitions

  • the present invention relates to the field of food processor technologies, and in particular, to an automatic control system and method for a food processor.
  • a smart food processor including:
  • a food processing tool installed in the container for agitating the food to be treated
  • a food detecting module configured to: when the food processing tool pre-stirred the food to be processed, identify the food to be processed according to the change state caused by the food stirring, and generate a corresponding feedback signal;
  • intelligent control a module, respectively, electrically connected to the food detecting module and the motor, for receiving a feedback signal sent by the food detecting module, according to a preset food processing mode and a feedback signal Corresponding relationship, controlling the motor to automatically process the food to be processed according to a food processing mode corresponding to the received feedback signal.
  • the food detecting module is electrically connected to the motor, and is also used for pre-stirring processing of the food to be processed by the food processing tool, according to the current of the motor or The change in power is used to determine the food to be processed.
  • the food detecting module is further configured to: when the food processing tool pre-stirred the food to be processed, determine the food to be processed according to the change of the rotation speed of the motor. .
  • the food detecting module is a speed sensor
  • the speed sensor is a photoelectric sensor, a magnetoelectric sensor, or a Hall sensor.
  • the food detecting module is in contact with the container or the food processing tool, and is also used for pre-stirring the food to be processed by the food processing tool, according to the measured portion.
  • the change in temperature is used to determine the food to be treated.
  • the length of the pre-stirring treatment is 3 to 10 s.
  • a smart food processing method comprising:
  • the identifying the food to be processed according to the change state caused by the food agitation includes:
  • the food to be treated is judged based on a change in current or power in the motor for stirring the food.
  • the identifying the food to be processed according to the change state caused by the food agitation includes:
  • the food to be processed is judged according to a change in the rotational speed of the motor for stirring the food.
  • the change state caused by the food agitation is recognized Don't wait for food, including:
  • the food to be treated is judged based on a change in the temperature of the portion in contact with the food to be treated.
  • the food detecting module identifies the food to be processed according to the changing state caused by the food stirring, and generates a corresponding feedback signal, and then, the intelligent control module, After receiving the feedback signal sent by the food detection module, according to the correspondence between the preset food processing mode and the feedback signal, the control motor automatically processes the food to be processed according to the food processing mode corresponding to the received feedback signal.
  • the control motor automatically processes the food to be processed according to the food processing mode corresponding to the received feedback signal.
  • the user can use the smart food processor without setting the food processing mode in advance, and the smart food processor automatically completes the correct setting of the food processing mode, thereby effectively overcoming the user's prior knowledge of food processing before using the food processor.
  • the food processing mode setting method and the food problem that can be processed by each food processing mode greatly facilitate the user's handling of food.
  • FIG. 1 is a schematic structural diagram of a smart food processor according to Embodiment 1 of the present invention.
  • FIG. 2 is a schematic diagram of a power variation of a motor according to Embodiment 1 of the present invention.
  • FIG. 3 is a schematic diagram of a power variation of a motor according to Embodiment 1 of the present invention.
  • FIG. 4 is a flow chart of a smart food processing method according to Embodiment 2 of the present invention.
  • An embodiment of the present invention provides a smart food processor.
  • the smart food processor includes
  • the container 1 (which may be made of a stainless steel material) is used to hold food to be treated (for example: ice cubes, or a mixture of carrots and water).
  • the food processing tool 2 (for example: a cutter assembly) is installed in the container 1 for agitation of the food to be treated.
  • the motor 3 is electrically connected to the food processing tool 2 for driving the food processing tool 2 to work.
  • the food detecting module 4 is configured to: when the food processing tool 2 performs pre-stirring treatment on the food to be processed, identify the food to be processed according to the changing state caused by the food stirring, and generate a corresponding feedback signal.
  • the food processing tool 2 performs a very short pre-stirring treatment on the food to be treated, and the pre-mixing treatment may have a daytime of 3 to 10 s, preferably 5 s (this pre-mixing treatment) During the day, the food detection module 4 recognizes the food to be processed without affecting the food processing efficiency of the smart food processor.
  • the stirring of the food may cause some changes, for example: the current, power, or rotational speed of the motor 3 may be affected by the stirring of the food, and is different.
  • the changes caused by the food are not the same, so the food to be treated can be identified based on the state of change caused by the food agitation.
  • the intelligent control module 5 is respectively electrically connected to the pre-food detecting module 4 and the motor 3 for receiving the feedback signal sent by the food detecting module 4 according to a preset correspondence between the preset food processing mode and the feedback signal.
  • the control motor 3 automatically processes the food to be processed according to the food processing mode corresponding to the received feedback signal.
  • the food processing mode may include: soy milk mode, dry powder mode, juice mode (including juice and vegetable juice), meat filling mode, shaved ice mode, etc., and the food detecting module 4 automatically recognizes the pending processing.
  • the intelligent control module 5 controls the motor 3 to perform the corresponding working mode according to the feedback signal sent by the food detecting module 4, and automatically completes the food processing mode conversion of the smart food processor, so that the user does not need to perform pre-selection at all, so that the user Use this smart food processor without prior knowledge and setting of the food processing mode, so that non-professional housewives can get started.
  • the food detecting module 4 is electrically connected to the motor 3 and can be used when the food processing tool 2 is treated The food is pre-stirred, and the food to be processed is judged based on the change in current or power of the motor.
  • the food detecting module 4 can be prepared by a Printed Circuit Board Assembly ("PCBA").
  • the food detection module 4 detects that the power variation of the motor 3 fluctuates greatly, and the power curve is toothed; see Fig. 3, when the food to be tested is a mixture of carrot and water, in the case of carrot and water In the inter-segment section where the mixture is pre-mixed (within 0 to 6 s), the food detecting module 4 detects that the power variation of the motor 3 is small, and the power curve shows a straight line with little fluctuation.
  • the state of the current of the motor 3 is the same as the state of the power change, and therefore, the food to be processed can be judged based on the change in the current or power of the motor.
  • the intelligent control module 5 controls the motor 3 to enter the shaved ice mode; when the food to be tested is a mixture of carrot and water, the intelligent control module 5 controls the motor 3 to enter the juicing mode.
  • the food detecting module 4 may also be used to determine the food to be processed according to the change of the rotation speed of the motor 3 when the food processing tool 2 performs pre-stirring treatment on the food to be processed.
  • the speed of the motor 3 changes greatly and fluctuates.
  • the motor 3 has a small change in speed and is in a straight line. Therefore, the food to be processed can be judged based on the change in the rotational speed of the motor.
  • the intelligent control module 5 controls the motor 3 to enter the shaved ice mode; when the food to be tested is a mixture of carrot and water, the intelligent control module 5 controls the motor 3 to enter the juicing mode.
  • the food detecting module 4 may be a speed sensor, and the speed sensor may be a photoelectric sensor, a magnetoelectric sensor, or a Hall sensor.
  • the food detecting module 4 can adopt a Hall sensor, that is, the food detecting module 4 is mounted on the motor 3, and the magnetic ring of the motor 3 cooperates with the Hall element of the food detecting module 4 to detect the rotational speed of the motor 3.
  • the food detecting module 4 may be a temperature sensor, in contact with the container 1 or the food processing tool 2, and may be used for pre-stirring the food to be processed by the food processing tool 2, according to the temperature of the measured part. Change to determine the food to be processed.
  • the container 1 or the food processing tool 2 is prepared for a material that is easily thermally conductive (for example: stainless steel)
  • the food detecting module 4 can be in contact with the container 1 or the food processing tool 2, so that when the food processing tool 2 is to be treated The food is pre-mixed, and the temperature of the container 1 or the food processing tool 2 changes, which in turn can be judged to be processed. food.
  • the food detecting module 4 detects that the temperature of the measured part changes greatly, from room temperature to below 0 degrees; when the food to be tested is a mixture of carrot and water, the food detecting module 4 detects The temperature to the measured part does not change much.
  • the intelligent control module 5 controls the motor 3 to enter the shaved ice mode; when the food to be tested is a mixture of carrot and water, the intelligent control module 5 controls the motor 3 to enter the juicing mode.
  • the food detecting module identifies the food to be processed according to the change state caused by the food stirring, and generates a corresponding feedback signal, and then, The intelligent control module, after receiving the feedback signal sent by the food detection module, controls the motor to automatically process the food to be processed according to the food processing mode corresponding to the received feedback signal according to the correspondence between the preset food processing mode and the feedback signal. .
  • the user can use the smart food processor without setting the food processing mode in advance, and the smart food processor automatically completes the correct setting of the food processing mode, thereby effectively overcoming the user's prior knowledge of food processing before using the food processor.
  • the food processing mode setting method and the food problem that can be processed by each food processing mode greatly facilitate the user's handling of food.
  • the embodiment of the present invention provides a smart food processing method, which is applicable to the smart food processor according to the first embodiment.
  • the method includes:
  • Step S21 pre-stirring the food to be processed.
  • the food to be treated is subjected to a very short pre-stirring treatment, and the pre-processed day can be 3 to 10 s, preferably 5 s.
  • This short pretreatment can be used for food judgment without affecting the efficiency of food processing.
  • Step S22 Identify the food to be processed according to the change state caused by the food agitation, and generate a corresponding feedback signal.
  • step S22 can be implemented as follows:
  • the food to be processed is judged based on a change in current or power in the motor for stirring the food.
  • the power variation of the motor is detected to be fluctuating, and the power curve is toothed
  • the food to be tested is carrot Mixture with water
  • the change in power of the motor is detected to be small, and the power curve is a straight line with little fluctuation.
  • the state of the current of the motor is the same as the state of the change of its power. Therefore, the food to be processed can be judged based on the change in the current or power of the motor.
  • the motor is controlled to enter the shaved ice mode; when the food to be tested is a mixture of carrot and water, the motor is controlled to enter the juice extraction mode.
  • step S22 can be implemented as follows:
  • the food to be processed is judged according to a change in the rotational speed of the motor for stirring the food.
  • the motor speed changes greatly and fluctuates; when the food to be tested is a mixture of carrot and water, the motor speed changes little and is in a straight line state. Therefore, the food to be processed can be judged based on the change in the rotational speed of the motor.
  • the control motor enters the shaved ice mode; when the food to be tested is a mixture of carrot and water, the motor is controlled to enter the juicing mode.
  • step S22 can be implemented as follows:
  • the food to be treated is judged based on a change in the temperature of the portion in contact with the food to be treated.
  • the temperature change of the detected part is detected to be large, and the temperature is reduced from room temperature to below 0 degree; when the food to be tested is a mixture of carrot and water, the detected part is detected. The temperature does not change much.
  • the motor is controlled to enter the shaved ice mode; when the food to be tested is a mixture of carrot and water, the motor is controlled to enter the juice extraction mode.
  • Step S23 according to the correspondence between the preset food processing mode and the feedback signal, automatically process the food to be processed according to the food processing mode corresponding to the obtained feedback signal.
  • the food processing mode may include: soy milk mode, dry powder mode, juice mode
  • the motor can be controlled according to the corresponding relationship between the preset food processing mode and the feedback signal.
  • the mode which automatically completes the food processing mode conversion of the smart food processor, does not require the user to pre-select at all, so that the user can use the smart food processor without prior knowledge and setting of the food processing mode, so that the non-professional housewife can get started.
  • the pre-stirring process is performed by the food to be processed first; then, the food to be processed is pre-stirred; and finally, according to the correspondence between the preset food processing mode and the feedback signal, The food to be processed is automatically processed according to the food processing mode corresponding to the obtained feedback signal.
  • the user can use the smart food processor without setting the food processing mode in advance, and the smart food processor automatically completes the correct setting of the food processing mode, thereby effectively overcoming the user's prior knowledge of food processing before using the food processor.
  • the food processing mode setting method and the food problem that can be processed by each food processing mode greatly facilitate the user's handling of food.

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Food Science & Technology (AREA)
  • Confectionery (AREA)
  • Food-Manufacturing Devices (AREA)

Abstract

一种智能食物处理器及智能食物处理方法,智能食物处理器包括:容器(1)、食物处理工具(2)、电机(3)、食物检测模块(4)、以及智能控制模块(5)。通过当食物处理工具(2)对待处理的食物进行预搅拌处理时,食物检测模块(4)根据食物搅拌所引起的变化状态,识别出待处理的食物,并生成相应的反馈信号,然后,智能控制模块(5),接收到食物检测模块(4)发送的反馈信号后,根据预设的食物处理模式与反馈信号之间的对应关系,控制电机(3)按照接收的反馈信号对应的食物处理模式,自动处理待处理的食物。这样用户在使用该智能食物处理器时,完全不用预先设置食物处理模式,而由智能食物处理器自动完成食物处理模式的正确设置。

Description

发明名称:一种智能食物处理器及智能食物处理方法
技术领域
[0001] 本发明涉及一种食物处理器技术领域, 特别涉及一种食物处理器的自动控制系 统及方法。
背景技术
[0002] 现有的市场上销售的食物处理器 (例如: 料理机) 集打豆浆、 磨干粉、 榨果汁 、 打肉馅、 刨冰等功能于一身, 对于制作果汁、 豆浆、 果酱、 干粉、 刨冰、 肉 馅等均能轻松应对。 这些食物处理器的功能非常丰富, 极大的满足了人们对食 物处理的需求, 但是这些食物处理器一般都设置有多个不同的档位, 当用户处 理不同类型的食物吋, 需要根据食物类型, 进行不同的档位的选择。 这样用户 在使用这些食物处理器前, 必须充分了解这些食物处理器的档位设置方法及各 个档位所能处理的食物, 不利于非专业的家庭主妇处理更多种类的食物。
技术问题
问题的解决方案
技术解决方案
[0003] 为了解决现有的食物处理器, 在使用前需要充分了解这些食物处理器的档位设 置方法及各个档位所能处理的食物的问题, 本发明实施例提供了一种智能食物 处理器及智能食物处理方法。 所述技术方案如下:
[0004] 一方面, 提供了一种智能食物处理器, 包括:
[0005] 容器, 用于盛放待处理的食物;
[0006] 食物处理工具, 安装在所述容器中, 用于对待处理的食物进行搅拌处理;
[0007] 电机, 与所述食物处理工具电连接, 用于驱动所述食物处理工具工作;
[0008] 食物检测模块, 用于当食物处理工具对待处理的食物进行预搅拌处理吋, 根据 食物搅拌所引起的变化状态, 识别待处理的食物, 并生成相应的反馈信号; [0009] 智能控制模块, 分别与所述食物检测模块和所述电机电连接, 用于当接收到所 述食物检测模块发送的反馈信号吋, 根据预设的食物处理模式与反馈信号之间 的对应关系, 控制所述电机按照接收的反馈信号对应的食物处理模式, 自动处 理所述待处理的食物。
[0010] 本发明上述的智能食物处理器中, 所述食物检测模块, 与所述电机电连接, 还 用于当食物处理工具对待处理的食物进行预搅拌处理吋, 根据所述电机的电流 或者功率的变化, 来判断待处理的食物。
[0011] 本发明上述的智能食物处理器中, 所述食物检测模块, 还用于当食物处理工具 对待处理的食物进行预搅拌处理吋, 根据所述电机转速的变化, 来判断待处理 的食物。
[0012] 本发明上述的智能食物处理器中, 所述食物检测模块为速度传感器, 所述速度 传感器为光电式传感器、 磁电式传感器、 或者霍尔式传感器。
[0013] 本发明上述的智能食物处理器中, 所述食物检测模块, 与所述容器或者食物处 理工具接触, 还用于当食物处理工具对待处理的食物进行预搅拌处理吋, 根据 所测部位温度的变化, 来判断待处理的食物。
[0014] 本发明上述的智能食物处理器中, 所述预搅拌处理的吋长范围为 3~10s。
[0015]
[0016] 另一方面, 提供了一种智能食物处理方法, 所述方法包括:
[0017] 对待处理的食物进行预搅拌处理;
[0018] 根据食物搅拌所引起的变化状态, 识别待处理的食物, 并生成相应的反馈信号
[0019] 根据预设的食物处理模式与反馈信号之间的对应关系, 按照获取的反馈信号对 应的食物处理模式, 自动处理所述待处理的食物。
[0020] 本发明上述的智能食物处理方法中, 所述根据食物搅拌所引起的变化状态, 识 别待处理的食物, 包括:
[0021] 根据用于搅拌食物的电机中电流或者功率的变化, 来判断待处理的食物。
[0022] 本发明上述的智能食物处理方法中, 所述根据食物搅拌所引起的变化状态, 识 别待处理的食物, 包括:
[0023] 根据用于搅拌食物的电机转速的变化, 来判断待处理的食物。
[0024] 本发明上述的智能食物处理方法中, 所述根据食物搅拌所引起的变化状态, 识 别待处理的食物, 包括:
[0025] 根据与待处理的食物接触的部位温度的变化, 来判断待处理的食物。
发明的有益效果
有益效果
[0026] 本发明实施例提供的技术方案带来的有益效果是:
[0027] 通过当食物处理工具对待处理的食物进行预搅拌处理吋, 食物检测模块根据食 物搅拌所引起的变化状态, 识别出待处理的食物, 并生成相应的反馈信号, 然 后, 智能控制模块, 接收到食物检测模块发送的反馈信号后, 根据预设的食物 处理模式与反馈信号之间的对应关系, 控制电机按照接收的反馈信号对应的食 物处理模式, 自动处理待处理的食物。 这样用户在使用该智能食物处理器吋, 完全不用预先设置食物处理模式, 而由智能食物处理器自动完成食物处理模式 的正确设置, 进而有效克服用户在使用食物处理器前, 需要预先熟知食物处理 器的食物处理模式设置方法及各个食物处理模式所能处理的食物的问题, 极大 的方便了用户对食物的处理。
对附图的简要说明
附图说明
[0028] 为了更清楚地说明本发明实施例中的技术方案, 下面将对实施例描述中所需要 使用的附图作简单地介绍, 显而易见地, 下面描述中的附图仅仅是本发明的一 些实施例, 对于本领域普通技术人员来讲, 在不付出创造性劳动的前提下, 还 可以根据这些附图获得其他的附图。
[0029] 图 1是本发明实施例一提供的一种智能食物处理器的结构示意图;
[0030] 图 2是本发明实施例一提供的一种电机功率变化示意图;
[0031] 图 3是本发明实施例一提供的一种电机功率变化示意图;
[0032] 图 4是本发明实施例二提供的一种智能食物处理方法流程图。
本发明的实施方式
[0033] 为使本发明的目的、 技术方案和优点更加清楚, 下面将结合附图对本发明实施 方式作进一步地详细描述。
[0034] 实施例一
[0035] 本发明实施例提供了一种智能食物处理器, 参见图 1, 该智能食物处理器包括
[0036] 容器 1 (可以采用不锈钢材料制备) , 用于盛放待处理的食物 (例如: 冰块, 或者, 胡萝卜与水的混合物) 。
[0037] 食物处理工具 2 (例如: 切削刀组件) , 安装在容器 1中, 用于对待处理的食物 进行搅拌处理。
[0038] 电机 3, 与食物处理工具 2电连接, 用于驱动食物处理工具 2工作。
[0039] 食物检测模块 4, 用于当食物处理工具 2对待处理的食物进行预搅拌处理吋, 根 据食物搅拌所引起的变化状态, 识别出待处理的食物, 并生成相应的反馈信号 。 在实际应用中, 用户启动幵关后, 食物处理工具 2对待处理的食物进行一次非 常短暂的预搅拌处理, 该预搅拌处理的吋间可以为 3~10s, 优选为 5s (该预搅拌 处理的吋间既足够食物检测模块 4识别出待处理的食物, 又不会影响到智能食物 处理器的食物处理效率) 。 在食物处理工具 2对待处理的食物进行预搅拌处理的 过程中, 对食物搅拌会引起一些变化状态, 例如: 电机 3的电流、 功率、 或者转 速, 都会受到搅拌食物的影响而发生变化, 并且不同的食物所引起的变化并不 相同, 因此, 可以根据食物搅拌所引起的变化状态, 识别出待处理的食物。
[0040] 智能控制模块 5, 分别预食物检测模块 4和电机 3电连接, 用于当接收到食物检 测模块 4发送的反馈信号吋, 根据预设的食物处理模式与反馈信号之间的对应关 系, 控制电机 3按照接收的反馈信号对应的食物处理模式, 自动处理待处理的食 物。 在实际应用中, 食物处理模式可以包括: 打豆浆模式、 磨干粉模式、 榨汁 模式 (包括果汁和蔬菜汁) 、 打肉馅模式、 刨冰模式等, 在食物检测模块 4自动 识别出待处理的食物后, 智能控制模块 5根据食物检测模块 4发送的反馈信号, 控制电机 3进行相应的工作模式, 自动完成智能食物处理器的食物处理模式转化 , 完全不需要用户进行预先选择, 这样使得用户在使用该智能食物处理器不用 预先了解和设置食物处理模式, 方便非专业的家庭主妇上手操作。
[0041] 可选地, 食物检测模块 4, 与电机 3电连接, 可以用于当食物处理工具 2对待处 理的食物进行预搅拌处理吋, 根据电机的电流或者功率的变化, 来判断待处理 的食物。 在实际应用中, 该食物检测模块 4可以通过印刷电路板装配 (Printed Circuit Board Assembly , 简称" PCBA") 制备。
[0042] 例如: 参见图 2, 当待测食物为冰块吋, 在对冰块进行预搅拌处理的吋间段内
(0~6s内) , 食物检测模块 4检测到电机 3的功率变化波动较大, 功率曲线呈齿状 ; 参见图 3, 当待测食物为胡萝卜和水的混合物吋, 在对胡萝卜和水的混合物进 行预搅拌处理的吋间段内 (0~6s内) , 食物检测模块 4检测到电机 3的功率变化较 小, 功率曲线呈一条波动很小的直线。 电机 3的电流的变换状态与其功率的变化 状态相同, 因此, 可以根据电机的电流或者功率的变化, 来判断待处理的食物 。 当判断出待测食物为冰块吋, 智能控制模块 5控制电机 3进入刨冰模式; 当待 测食物为胡萝卜和水的混合物吋, 智能控制模块 5控制电机 3进入榨汁模式。
[0043] 可选地, 食物检测模块 4, 还可以用于当食物处理工具 2对待处理的食物进行预 搅拌处理吋, 根据电机 3转速的变化, 来判断待处理的食物。 例如: 当待测食物 为冰块吋, 电机 3转速变化较大, 呈波动状态; 当待测食物为胡萝卜和水的混合 物吋, 电机 3转速变化较小, 呈直线状态。 因此, 可以根据电机的转速的变化, 来判断待处理的食物。 当判断出待测食物为冰块吋, 智能控制模块 5控制电机 3 进入刨冰模式; 当待测食物为胡萝卜和水的混合物吋, 智能控制模块 5控制电机 3进入榨汁模式。
[0044] 进一步地, 食物检测模块 4可以为速度传感器, 该速度传感器可以为光电式传 感器、 磁电式传感器、 或者霍尔式传感器。 优选地, 食物检测模块 4可以采用霍 尔式传感器, 即将食物检测模块 4安装在电机 3上, 由电机 3的磁环与食物检测模 块 4的霍尔元件配合, 来检测电机 3的转速。
[0045] 可选地, 食物检测模块 4可以为温度传感器, 与容器 1或者食物处理工具 2接触 , 可以用于当食物处理工具 2对待处理的食物进行预搅拌处理吋, 根据所测部位 温度的变化, 来判断待处理的食物。 在实际应用中, 如果容器 1或者食物处理工 具 2为容易导热的材料制备 (例如: 不锈钢) , 那么食物检测模块 4可以与容器 1 或者食物处理工具 2相接触, 这样当食物处理工具 2对待处理的食物进行预搅拌 处理吋, 容器 1或者食物处理工具 2的温度会发生变化, 进而可以来判断待处理 的食物。 例如: 当待测食物为冰块吋, 食物检测模块 4检测到所测部位的温度变 化大, 由室温降到 0度以下; 当待测食物为胡萝卜与水的混合物吋, 食物检测模 块 4检测到所测部位的温度变化不大。 当判断出待测食物为冰块吋, 智能控制模 块 5控制电机 3进入刨冰模式; 当待测食物为胡萝卜和水的混合物吋, 智能控制 模块 5控制电机 3进入榨汁模式。
[0046] 本发明实施例通过当食物处理工具对待处理的食物进行预搅拌处理吋, 食物检 测模块根据食物搅拌所引起的变化状态, 识别出待处理的食物, 并生成相应的 反馈信号, 然后, 智能控制模块, 接收到食物检测模块发送的反馈信号后, 根 据预设的食物处理模式与反馈信号之间的对应关系, 控制电机按照接收的反馈 信号对应的食物处理模式, 自动处理待处理的食物。 这样用户在使用该智能食 物处理器吋, 完全不用预先设置食物处理模式, 而由智能食物处理器自动完成 食物处理模式的正确设置, 进而有效克服用户在使用食物处理器前, 需要预先 熟知食物处理器的食物处理模式设置方法及各个食物处理模式所能处理的食物 的问题, 极大的方便了用户对食物的处理。
[0047]
[0048] 实施例二
[0049] 本发明实施例提供了一种智能食物处理方法, 适用于实施例一所述的智能食物 处理器, 参见图 4, 该方法包括:
[0050] 步骤 S21, 对待处理的食物进行预搅拌处理。
[0051] 在实际应用中, 用户启动幵关后, 对待处理的食物进行一次非常短暂的预搅拌 处理, 该预处理的吋间可以为 3~10s, 优选为 5s。 该短暂的预处理既能用于食物 的判断, 又不会影响到对食物的处理效率。
[0052] 步骤 S22, 根据食物搅拌所引起的变化状态, 识别待处理的食物, 并生成相应 的反馈信号。
[0053] 可选地, 上述步骤 S22可以通过如下方式实现:
[0054] 根据用于搅拌食物的电机中电流或者功率的变化, 来判断待处理的食物。
[0055] 例如: 当待测食物为冰块吋, 在对冰块进行预搅拌处理的吋间段内, 检测到电 机的功率变化波动较大, 功率曲线呈齿状; 当待测食物为胡萝卜和水的混合物 吋, 在对胡萝卜和水的混合物进行预搅拌处理的吋间段内, 检测到电机的功率 变化较小, 功率曲线呈一条波动很小的直线。 电机的电流的变换状态与其功率 的变化状态相同, 因此, 可以根据电机的电流或者功率的变化, 来判断待处理 的食物。 当判断出待测食物为冰块吋, 控制电机进入刨冰模式; 当待测食物为 胡萝卜和水的混合物吋, 控制电机进入榨汁模式。
[0056] 可选地, 上述步骤 S22可以通过如下方式实现:
[0057] 根据用于搅拌食物的电机转速的变化, 来判断待处理的食物。
[0058] 例如: 当待测食物为冰块吋, 电机转速变化较大, 呈波动状态; 当待测食物为 胡萝卜和水的混合物吋, 电机转速变化较小, 呈直线状态。 因此, 可以根据电 机的转速的变化, 来判断待处理的食物。 当判断出待测食物为冰块吋, 控制电 机进入刨冰模式; 当待测食物为胡萝卜和水的混合物吋, 控制电机进入榨汁模 式。
[0059] 可选地, 上述步骤 S22可以通过如下方式实现:
[0060] 根据与待处理的食物接触的部位温度的变化, 来判断待处理的食物。
[0061] 例如: 当待测食物为冰块吋, 检测到所测部位的温度变化大, 由室温降到 0度 以下; 当待测食物为胡萝卜与水的混合物吋, 检测到所测部位的温度变化不大 。 当判断出待测食物为冰块吋, 控制电机进入刨冰模式; 当待测食物为胡萝卜 和水的混合物吋, 控制电机进入榨汁模式。
[0062] 步骤 S23, 根据预设的食物处理模式与反馈信号之间的对应关系, 按照获取的 反馈信号对应的食物处理模式, 自动处理待处理的食物。
[0063] 在实际应用中, 食物处理模式可以包括: 打豆浆模式、 磨干粉模式、 榨汁模式
(包括果汁和蔬菜汁) 、 打肉馅模式、 刨冰模式等, 在自动识别出待处理的食 物后, 可以根据预设的食物处理模式与反馈信号之间的对应关系, 控制电机进 行相应的工作模式, 自动完成智能食物处理器的食物处理模式转化, 完全不需 要用户进行预先选择, 这样使得用户在使用该智能食物处理器不用预先了解和 设置食物处理模式, 方便非专业的家庭主妇上手操作。
[0064] 本发明实施例通过先对待处理的食物进行预搅拌处理; 然后, 待处理的食物进 行预搅拌处理; 最后, 根据预设的食物处理模式与反馈信号之间的对应关系, 按照获取的反馈信号对应的食物处理模式, 自动处理待处理的食物。 这样用户 在使用该智能食物处理器吋, 完全不用预先设置食物处理模式, 而由智能食物 处理器自动完成食物处理模式的正确设置, 进而有效克服用户在使用食物处理 器前, 需要预先熟知食物处理器的食物处理模式设置方法及各个食物处理模式 所能处理的食物的问题, 极大的方便了用户对食物的处理。
[0065] 上述本发明实施例序号仅仅为了描述, 不代表实施例的优劣。
[0066] 本领域普通技术人员可以理解实现上述实施例的全部或部分步骤可以通过硬件 来完成, 也可以通过程序来指令相关的硬件完成, 所述的程序可以存储于一种 计算机可读存储介质中, 上述提到的存储介质可以是只读存储器, 磁盘或光盘 等。
[0067] 以上所述仅为本发明的较佳实施例, 并不用以限制本发明, 凡在本发明的精神 和原则之内, 所作的任何修改、 等同替换、 改进等, 均应包含在本发明的保护 范围之内。

Claims

权利要求书
[权利要求 1] 一种智能食物处理器, 其特征在于, 包括:
容器 (1) , 用于盛放待处理的食物;
食物处理工具 (2) , 安装在所述容器 (1) 中, 用于对待处理的食物 进行搅拌处理;
电机 (3) , 与所述食物处理工具 (2) 电连接, 用于驱动所述食物处 理工具 (2) 工作;
食物检测模块 (4) , 用于当食物处理工具 (2) 对待处理的食物进行 预搅拌处理吋, 根据食物搅拌所引起的变化状态, 识别待处理的食物 , 并生成相应的反馈信号;
智能控制模块 (5) , 分别与所述食物检测模块 (4) 和所述电机 (3 ) 电连接, 用于当接收到所述食物检测模块 (4) 发送的反馈信号吋 , 根据预设的食物处理模式与反馈信号之间的对应关系, 控制所述电 机按照接收的反馈信号对应的食物处理模式, 自动处理所述待处理的 食物。
[权利要求 2] 根据权利要求 1所述的智能食物处理器, 其特征在于, 所述食物检测 模块 (4) , 与所述电机 (3) 电连接, 还用于当食物处理工具 (2) 对待处理的食物进行预搅拌处理吋, 根据所述电机 (3) 的电流或者 功率的变化, 来判断待处理的食物。
[权利要求 3] 根据权利要求 1所述的智能食物处理器, 其特征在于, 所述食物检测 模块 (4) , 还用于当食物处理工具 (2) 对待处理的食物进行预搅拌 处理吋, 根据所述电机 (3) 转速的变化, 来判断待处理的食物。
[权利要求 4] 根据权利要求 3所述的智能食物处理器, 其特征在于, 所述食物检测 模块 (4) 为速度传感器, 所述速度传感器为光电式传感器、 磁电式 传感器、 或者霍尔式传感器。
[权利要求 5] 根据权利要求 1所述的智能食物处理器, 其特征在于, 所述食物检测 模块 (4) , 与所述容器或者食物处理工具 (2) 接触, 还用于当食物 处理工具 (2) 对待处理的食物进行预搅拌处理吋, 根据所测部位温 度的变化, 来判断待处理的食物。
[权利要求 6] 根据权利要求 1-4任一项所述的智能食物处理器, 其特征在于, 所述 预搅拌处理的吋长范围为 3~10s。
[权利要求 7] —种智能食物处理方法, 其特征在于, 所述方法包括:
对待处理的食物进行预搅拌处理;
根据食物搅拌所引起的变化状态, 识别待处理的食物, 并生成相应的 反馈信号;
根据预设的食物处理模式与反馈信号之间的对应关系, 按照获取的反 馈信号对应的食物处理模式, 自动处理所述待处理的食物。
[权利要求 8] 根据权利要求 7所述的方法, 其特征在于, 所述根据食物搅拌所引起 的变化状态, 识别待处理的食物, 包括:
根据用于搅拌食物的电机中电流或者功率的变化, 来判断待处理的食 物。
[权利要求 9] 根据权利要求 7所述的方法, 其特征在于, 所述根据食物搅拌所引起 的变化状态, 识别待处理的食物, 包括:
根据用于搅拌食物的电机转速的变化, 来判断待处理的食物。
[权利要求 10] 根据权利要求 7所述的方法, 其特征在于, 所述根据食物搅拌所引起 的变化状态, 识别待处理的食物, 包括:
根据与待处理的食物接触的部位温度的变化, 来判断待处理的食物。
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CN109793434B (zh) * 2019-02-25 2022-01-04 九阳股份有限公司 一种基于物料种类的制浆方法
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