WO2017015918A1 - 空调自学习的方法和空调 - Google Patents

空调自学习的方法和空调 Download PDF

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Publication number
WO2017015918A1
WO2017015918A1 PCT/CN2015/085482 CN2015085482W WO2017015918A1 WO 2017015918 A1 WO2017015918 A1 WO 2017015918A1 CN 2015085482 W CN2015085482 W CN 2015085482W WO 2017015918 A1 WO2017015918 A1 WO 2017015918A1
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Prior art keywords
air conditioner
variable parameters
variable
time
time period
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PCT/CN2015/085482
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English (en)
French (fr)
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薄冰
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薄冰
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Priority to PCT/CN2015/085482 priority Critical patent/WO2017015918A1/zh
Publication of WO2017015918A1 publication Critical patent/WO2017015918A1/zh

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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements

Definitions

  • the invention belongs to the field of household appliances, and in particular relates to a method for self-learning of an air conditioner and an air conditioner.
  • a mid-range air conditioner can at least adjust the wind, humidity, temperature, working time, and wind angle.
  • the embodiment of the invention provides a self-learning method for an air conditioner, and aims to solve the problem that it is extremely inconvenient when re-adjusting a certain state in the case of using an air conditioner in multiple occasions.
  • the present invention is implemented as follows: a method for self-learning of an air conditioner, comprising the following steps:
  • variable parameters of the air conditioner recorded in the time period are recorded;
  • variable parameter in the combination of the most frequently used variable parameters is used as the variable parameter preset when the air conditioner is used during the time period.
  • variable parameter includes:
  • An embodiment of the present invention further provides an air conditioner, including:
  • a recording unit configured to record a variable parameter of the air conditioner in the time period if the time for continuously using the air conditioner exceeds a certain threshold within a certain period of time;
  • a statistical unit whose input end is connected to the output end of the recording unit, and is used for counting the number of times the combinations of the variable parameters are the same;
  • a preset value setting unit the input end of which is connected to the output end of the statistical unit, and is configured to set a variable parameter in a combination of the most frequently used variable parameters to be preset when the air conditioner is used in the time period variable parameter.
  • the air conditioner can automatically and dynamically adjust the variable parameters according to the user's usage habits, complies with the user's habits, and saves the trouble that the user has to adjust once every time.
  • FIG. 1 is a schematic flow chart of a method for self-learning of an air conditioner according to an embodiment of the present invention
  • FIG. 2 is a schematic structural view of an air conditioner according to an embodiment of the present invention.
  • FIG. 1 is a schematic flowchart of a method for self-learning of an air conditioner according to an embodiment of the present invention. For convenience of description, only parts related to the embodiment of the present invention are shown.
  • step S101 during a certain period of time, if the time during which the air conditioner is continuously used exceeds a certain threshold, the air conditioner variable parameter within the time period is recorded.
  • variable parameters include:
  • Air conditioning wind, and / or humidity, and / or wind angle In order to avoid errors and discharge specific situations, it is necessary to continue to use the air conditioner for a long period of time before recording. If the air conditioner is continuously used for more than half an hour, record variable parameters such as air conditioning wind speed, and/or rotor speed, and/or rotor width, and/or up and down tilt angle of the air conditioner when the air conditioner is used in the time period; On the other hand, if it is less than 5 minutes, no recording will be made.
  • step S102 the number of uses in which the combinations of the variable parameters are the same is counted. If a single variable parameter is the same, it will not be combined. For example, if the air-conditioning wind speed, rotor speed, rotor width, and air-conditioning tilt angle are the same, the recording can be performed. Otherwise, if only one rotor speed is the same, other If the parameters are different, no record will be made.
  • step 103 the variable parameter in the combination of the most frequently used variable parameters is used as the variable parameter preset when the air conditioner is used in the time period.
  • the variable factor group is used as the power-on preset state, as long as the air conditioner is turned on during the time period, regardless of the previous setting. How to enter the preset state first.
  • the air conditioner can automatically and dynamically adjust the variable parameters according to the user's usage habits, complies with the user's habits, and saves the trouble that the user has to adjust once every time.
  • the air conditioner includes a code input board, and further includes:
  • the recording unit 201 is configured to record, during a specific time period, a variable parameter of the air conditioner in the time period if the time for continuously using the air conditioner exceeds a certain threshold;
  • a statistical unit 202 whose input end is connected to the output end of the recording unit 201, and is used for counting the number of times the combinations of the variable parameters are the same;
  • a preset value setting unit 203 whose input end is connected to the output end of the statistical unit 202, and is configured to set the variable parameter in the combination of the most frequently used variable parameters to be used when the air conditioner is used in the time period. Variable parameters set.
  • the working principle is: in a certain period of time, if the time of continuously using the air conditioner exceeds a certain threshold, the recording unit 201 records the air conditioner variable parameter in the time period; the statistics unit 202 calculates that the combinations of the variable parameters are the same. The number of uses; the preset value setting unit 203 sets the variable parameter in the combination of the variable parameters that are used the most frequently as the variable parameter preset when the air conditioner is used in the time period.
  • the air conditioner can automatically and dynamically adjust the variable parameters according to the user's usage habits, complies with the user's habits, and saves the trouble that the user has to adjust once every time.

Abstract

一种空调自学习的方法和空调,该方法包括:在特定时间段内,若持续使用空调的时间超过一定阈值,记录在该时间段内的空调可变参数(S101);统计出各可变参数的组合都相同的使用次数(S102);将使用次数最多的可变参数的组合中的可变参数,作为空调在该时间段内使用时预设的可变参数(S103)。

Description

空调自学习的方法和空调 技术领域
本发明属于家电领域,尤其是涉及一种空调自学习的方法和空调。
背景技术
现在家用的空调功能日趋强大,同样地空调可以调整的参数(可变参数)也日益增多,比如一个中档的空调至少包括风力、湿度、温度、工作时间、出风角度等部分可以调整。
同时,由于各个时间使用空调的要求不同,如在夏天,刚下班回家和晚上睡觉时,对空调的风速、转头幅度等就有较大的需求差异。而且考虑到,人的习惯的力量非常强,在特定的场合(如睡觉时)习惯了空调的某些可变参数后,往往会保持相当长的时间。
针对上述情况,如果一个用户经过多次调整,习惯了做某事时(如睡觉时)的最适应空调参数,但是在其他场合使用时,调整了空调参数后,该用户在睡觉时再调整回其最适应的空调参数,就显得十分的麻烦。
发明内容
本发明实施例提供了一种空调自学习的方法,目的在于解决当前在多场合使用空调的情况下,重新调回某一状态时,极为不方便的问题。
本发明是这样实现的:一种空调自学习的方法,包括以下步骤:
在特定时间段内,若持续使用空调的时间超过一定阈值,记录在该时间段内的空调可变参数;
统计出各可变参数的组合都相同的使用次数;
将使用次数最多的可变参数的组合中的可变参数,作为空调在该时间段内使用时预设的可变参数。
在本发明实施例中,所述可变参数包括:
空调风力、和/或湿度、和/或出风角度。。
本发明实施例还提供了一种空调,包括:
记录单元,用于在特定时间段内,若持续使用空调的时间超过一定阈值,记录在该时间段内的空调可变参数;
统计单元,其输入端与所述记录单元的输出端连接,用于统计出各可变参数的组合都相同的使用次数;
预设值设置单元,其输入端与所述统计单元的输出端连接,用于将使用次数最多的可变参数的组合中的可变参数,设置为空调在该时间段内使用时预设的可变参数。
通过该发明,可以让空调根据用户的使用习惯,自动且动态的调节可变参数,遵从了用户的习惯,省去了用户每次使用时都要调节一遍的麻烦。
附图说明
图1是本发明实施例提供的一种空调自学习的方法的流程示意图;
图2是本发明实施例提供的空调的结构示意图。
具体实施方式
为了使本发明的目的、技术方案及优点更加清楚明白,以下结合附图及实施例,对本发明进行进一步详细说明。应当理解,此处所描述的具体实施例仅仅用以解释本发明,并不用于限定本发明。
图1是发明实施例提供的一种空调自学习的方法的流程示意图,为了便于说明,只示出了与本发明实施例相关的部分。
在步骤S101在特定时间段内,若持续使用空调的时间超过一定阈值,记录在该时间段内的空调可变参数。
所述可变参数包括:
空调风力、和/或湿度、和/或出风角度。为了避免误差和排出特定情况,需要对空调持续使用一段较长的时间后,方可记录。如对空调持续使用半个小时以上时,记录下该时间段使用空调时的空调风速、和/或转头速度、和/或转头幅度、和/或空调的上下倾斜角度等可变参数;反之若不足5分钟,则不进行记录。
在步骤S102中,统计出各可变参数的组合都相同的使用次数。单一的一个可变参数相同,则不进行组合,比如需要空调风速、转头速度、转头幅度、空调的上下倾斜角度都相同方能进行记录,否则若只有一个转头速度相同,而其他可变参数不同的话,则不做记录。
在步骤103中,将使用次数最多的可变参数的组合中的可变参数,作为空调在该时间段内使用时预设的可变参数。当所记录的相同的可变因素组较多时,说明了用户在该时间段的习惯,所以将所述可变因素组作为开机预设状态,只要在该时间段内一开空调,不管先前的设置如何,首先进入该预设状态。
通过该发明,可以让空调根据用户的使用习惯,自动且动态的调节可变参数,遵从了用户的习惯,省去了用户每次使用时都要调节一遍的麻烦。
图2是本发明实施例提供的一种空调的结构示意图,该空调包括代码输入板,还包括:
记录单元201,用于在特定时间段内,若持续使用空调的时间超过一定阈值,记录在该时间段内的空调可变参数;
统计单元202,其输入端与所述记录单元201的输出端连接,用于统计出各可变参数的组合都相同的使用次数;
预设值设置单元203,其输入端与所述统计单元202的输出端连接,用于将使用次数最多的可变参数的组合中的可变参数,设置为空调在该时间段内使用时预设的可变参数。
其工作原理是:在特定时间段内,若持续使用空调的时间超过一定阈值,记录单元201记录在该时间段内的空调可变参数;统计单元202统计出各可变参数的组合都相同的使用次数;预设值设置单元203将使用次数最多的可变参数的组合中的可变参数,设置为空调在该时间段内使用时预设的可变参数。
通过该发明,可以让空调根据用户的使用习惯,自动且动态的调节可变参数,遵从了用户的习惯,省去了用户每次使用时都要调节一遍的麻烦。
以上仅为本发明的较佳实施例而已,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、等同替换和改进等,均应包含在本发明的保护范围之内。

Claims (3)

  1. 一种空调自学习的方法,其特征在于,所述方法包括如下步骤:
    在特定时间段内,若持续使用空调的时间超过一定阈值,记录在该时间段内的空调可变参数;
    统计出各可变参数的组合都相同的使用次数;
    将使用次数最多的可变参数的组合中的可变参数,作为空调在该时间段内使用时预设的可变参数。
  2. 如权利要求1所述的空调自学习的方法,其特征在于,所述可变参数包括:
    空调风力、和/或湿度、和/或出风角度。
  3. 一种空调,其特征在于,所述空调包括:
    记录单元,用于在特定时间段内,若持续使用空调的时间超过一定阈值,记录在该时间段内的空调可变参数;
    统计单元,其输入端与所述记录单元的输出端连接,用于统计出各可变参数的组合都相同的使用次数;
    预设值设置单元,其输入端与所述统计单元的输出端连接,用于将使用次数最多的可变参数的组合中的可变参数,设置为空调在该时间段内使用时预设的可变参数。
PCT/CN2015/085482 2015-07-29 2015-07-29 空调自学习的方法和空调 WO2017015918A1 (zh)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112199860A (zh) * 2020-10-27 2021-01-08 合肥美菱物联科技有限公司 一种基于大数据的冰箱变温温区设定优化方法

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JP2011137589A (ja) * 2009-12-28 2011-07-14 Mitsubishi Electric Corp 空気調和機、空気調和機の制御装置
CN103697563A (zh) * 2012-09-27 2014-04-02 广东美的制冷设备有限公司 具有专家学习功能的空调及专家学习方法、控制方法
CN103940033A (zh) * 2014-03-25 2014-07-23 四川长虹电器股份有限公司 一种信息处理方法及空调
CN103982982A (zh) * 2014-05-05 2014-08-13 美的集团股份有限公司 空调器的控制方法和空调器
CN104266302A (zh) * 2014-07-04 2015-01-07 广东美的集团芜湖制冷设备有限公司 一种家用空调的控制方法

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030127527A1 (en) * 2002-01-10 2003-07-10 Yoshinori Ichishi Vehicle air conditioner with automatic air-conditioning control
JP2011137589A (ja) * 2009-12-28 2011-07-14 Mitsubishi Electric Corp 空気調和機、空気調和機の制御装置
CN103697563A (zh) * 2012-09-27 2014-04-02 广东美的制冷设备有限公司 具有专家学习功能的空调及专家学习方法、控制方法
CN103940033A (zh) * 2014-03-25 2014-07-23 四川长虹电器股份有限公司 一种信息处理方法及空调
CN103982982A (zh) * 2014-05-05 2014-08-13 美的集团股份有限公司 空调器的控制方法和空调器
CN104266302A (zh) * 2014-07-04 2015-01-07 广东美的集团芜湖制冷设备有限公司 一种家用空调的控制方法

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112199860A (zh) * 2020-10-27 2021-01-08 合肥美菱物联科技有限公司 一种基于大数据的冰箱变温温区设定优化方法

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