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Household appliance self-learning method, household appliance self-learning system and household appliance

A self-learning method and self-learning technology, applied in the field of home appliance self-learning, home appliance self-learning system and home appliances, can solve the problems of control mode dependence, repeated manual operation by users every day, and poor user experience.

Active Publication Date: 2015-09-02
GD MIDEA HEATING & VENTILATING EQUIP CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a home appliance self-learning method, a home appliance self-learning system and home appliances to solve the problem in the prior art that the control method relies on the user's daily repeated manual operation and the user experience is poor

Method used

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  • Household appliance self-learning method, household appliance self-learning system and household appliance
  • Household appliance self-learning method, household appliance self-learning system and household appliance

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0019] According to one embodiment of the present invention, step S100 includes:

[0020] S1010, at the beginning of the predetermined time period, record the initial setting state of the home appliance; and

[0021] S1020. During the predetermined time period, detect and record a change in the setting state of the home appliance.

[0022] Wherein, the change of the setting state of the home appliance is usually caused by user operation. Taking the case where the predetermined time period can be from 00:00 to 24:00 as an example, the start of the predetermined time period is 00:00 at this time, and the initial setting state of the home appliance is recorded at the beginning of the predetermined time period, that is, record 00 :00 The state of the home appliance.

[0023] By recording the change of the setting state of the home appliance during the predetermined time period, the operation of the home appliance in the time period corresponding to the predetermined time period ...

Embodiment approach 1

[0049] When the unit time period is a natural day and the predetermined period is from 08:00 to 24:00, the recorded usage is: 08:00, the air conditioner is turned on, running in cooling mode, the temperature of the air conditioner is 26 degrees, and at this time 08:00 This time is the start time of the scheduled period; at 18:00, the air conditioner is turned off.

[0050] Thus, during the time period corresponding to the predetermined time period in the next natural day (that is, from 08:00 to 24:00 on the next natural day), the air conditioner will be turned on at 08:00, running in cooling mode, and the temperature of the air conditioner is 26 degrees. Reciprocate the above steps.

[0051] That is, in this embodiment, the air conditioner performs self-learning according to a natural day: the learning result (record result) of the previous natural day in the subsequent natural day is the basis. In addition, on this basis, if a change in the setting state of the air condition...

Embodiment approach 2

[0053] When the unit time period is a working day and the predetermined time period is from 08:00 to 24:00, the recorded usage is: 08:00, the air conditioner is turned on, running in cooling mode, the temperature of the air conditioner is 26 degrees, and at this time 08:00 This time is the start time of the scheduled period; at 18:00, the air conditioner is turned off.

[0054] Therefore, in the time period corresponding to the predetermined time period in the next working day (that is, from 08:00 to 24:00 on the next working day), the air conditioner will be turned on at 08:00, and the cooling mode will be operated, and the temperature of the air conditioner will be 26 degrees. . Reciprocate the above steps.

[0055] That is, in this embodiment, the air conditioner performs self-learning on a working day basis: the learning result (recording result) of the previous working day on the next working day is the basis. In addition, on this basis, if a change in the setting state...

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Abstract

The invention relates to the field of household appliances, in particular to a household appliance self-learning method, a household appliance self-learning system and a household appliance. The household appliance self-learning method comprises the following steps: recording the use condition of the household appliance in scheduled time slot within unit time cycle; recording time slot corresponding to the scheduled time slot within next unit time cycle, and controlling the household appliance to run according to the use condition recorded in the scheduled time slot. Through the use of the household appliance self-learning method, the household appliance self-learning system and the household appliance, all that is needed is to record the use condition of the household appliance in the scheduled time slot within unit time cycle, the running of the household appliance can be controlled according to the preferences of users in the next unit time cycle while user's operation is not needed, so that the user experience can be improved, and the intelligent control of the household appliance is achieved.

Description

technical field [0001] The invention relates to the field of electrical appliances, in particular to a home appliance self-learning method, a home appliance self-learning system and home appliances. Background technique [0002] During the use of the home appliance, the user controls the home appliance through a remote controller or a control panel, such as controlling the on-off time of the home appliance. Take an air conditioner as an example. Usually, each user has his or her own preferred on / off time, temperature, and wind speed. In the prior art, in order to achieve the preferred switching time, temperature and wind speed every day, the user can only control the air conditioner by using a remote controller or a control panel every day. Such a control method relies on the user's daily repeated manual operation, and cannot actively realize the automatic and intelligent operation of home appliances according to the user's preference, which affects the user's experience. ...

Claims

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Application Information

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IPC IPC(8): G08C17/02H04L29/08G05B19/418
Inventor 廖南海
Owner GD MIDEA HEATING & VENTILATING EQUIP CO LTD
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