CN109140706B - Intelligent control method for air conditioner - Google Patents
Intelligent control method for air conditioner Download PDFInfo
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- CN109140706B CN109140706B CN201710509405.1A CN201710509405A CN109140706B CN 109140706 B CN109140706 B CN 109140706B CN 201710509405 A CN201710509405 A CN 201710509405A CN 109140706 B CN109140706 B CN 109140706B
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Abstract
The invention provides an intelligent control method of an air conditioner, which comprises the following steps: s1, acquiring the operation parameter A stored in the previous day; s2, operating the air conditioner, and taking the operating parameter A as the current operating parameter; s3, judging whether the user changes the operation parameters, if so, taking the operation parameters B changed by the user as the current operation parameters, and storing the current operation parameters B; if not, the step S4 is carried out; s4, judging whether an operation parameter C matched with the current time exists or not by the air conditioner according to the operation parameter information stored in the previous day, if so, taking the operation parameter C as the current operation parameter, and returning to S3; if not, the air conditioner keeps the current operation parameters to continue to operate, and the operation returns to the step S3. The user habits of the user in the previous day are intelligently learned through the air conditioner, the set habits of the air conditioner of the user are intelligently applied to the air conditioner control process in the same day, the automatic and intelligent regulation and control process of the air conditioner is realized, and the requirements of the user on the operation mode and the target temperature of the air conditioner at different time periods every day are met.
Description
Technical Field
The invention relates to an intelligent control method for an air conditioner.
Background
Along with the continuous development of daily household electrical appliances technology, more and more domestic appliance gets into in people's daily life and the work, simultaneously because the improvement of science and technology level in the real life, people also correspondingly have higher demand to domestic appliance's intellectuality, for this reason, domestic appliance also should carry out corresponding optimization and promote. Taking an air conditioner as an example, the air conditioner can only realize the start and stop of the air conditioner at different time periods through a time timing switch at present, but because the ambient temperature at different time periods every day is different, a user has different requirements on the operation mode and the target temperature of the air conditioner, the operation mode and the target temperature are set at different time periods every day, and the setting parameters of the corresponding time periods of a certain day and a plurality of days in the front and back are the same, so that the manual and repeated setting every day is inconvenient and not intelligent, and how to make the air conditioner intelligently learn the setting habit of the air conditioner of the user is improved, the intelligent degree of air conditioner control is improved, the requirements of the user are met, and the air conditioner becomes an existing. In order to solve the technical problem, an intelligent air conditioner control method needs to be provided, so that the automatic and intelligent regulation and control process of the air conditioner is realized, and the requirements of a user on the operation mode and the target temperature of the air conditioner at different time periods every day are met.
Patent document 201610525422.X discloses an air conditioner control parameter determination device and method, an air conditioner and a server. Wherein, the device includes: an air conditioner control parameter determining device comprises a data acquisition unit, a user habit determining unit and a parameter determining unit; the data acquisition unit is used for acquiring data related to the determination of the living habits of the user in a first period; the user habit determining unit is used for determining the living habits of the user according to the data; and the parameter determining unit is used for determining the control parameters of the air conditioner according to the determined living habits of the user. The application relates to more air conditioner control parameters, and provides a corresponding air conditioner control parameter determining process, but the application still faces to effectively use the air conditioner control parameters in the air conditioner regulation and control process after the air conditioner control parameters are determined, and meanwhile, the automatic and intelligent air conditioner regulation and control process cannot be effectively realized, so that the requirements of a user on the operation mode and the target temperature of the air conditioner at different time periods every day are met.
Patent document No. 201610451649.4 discloses a method and a device for predicting the cold load of a central air conditioning system based on a networked access control system, wherein the method comprises the following steps: collecting the number of people entering an office to work and the operation parameters of a central air-conditioning system in the previous day; preliminarily setting the operation parameters of the central air-conditioning system on the day according to the operation parameters of the central air-conditioning system on the previous day; counting the number of people working on the same day, calculating the indoor cold load of the central air-conditioning system at the moment, and correcting the operating parameters of the central air-conditioning system according to the cold load; counting the number of people entering the office for work every n minutes, calculating the indoor cold load of the central air-conditioning system at the moment, and correcting the operation parameters of the central air-conditioning system according to the cold load at the moment. Firstly, the method and the device in the application cannot meet the requirements of users on automatic and intelligent regulation and control of the air conditioner under different use environments of different types of air conditioners, and meanwhile, the application does not relate to the situation that in real life, because the ambient temperatures in different time periods are different every day, the users have different requirements on the operation mode and the target temperature of the air conditioner, and the users can reset the air conditioner at different time periods every day, so that the application cannot effectively solve the problem of how to intelligently learn the setting habits of the air conditioner of the users so as to improve the intelligent degree of air conditioner control.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an intelligent control method for an air conditioner, which solves the problem of how to enable the air conditioner to intelligently learn the air conditioner setting habits of a user, so as to improve the intelligent degree of air conditioner control and meet the requirements of the user on the operation mode and the target temperature of the air conditioner at different time periods every day.
In order to solve the technical problems, the technical scheme of the invention is as follows:
an intelligent control method for an air conditioner comprises the following steps:
s1, the air conditioner acquires the operation parameter A stored in the previous day;
s2, operating the air conditioner, and taking the operating parameter A as the current operating parameter;
s3, judging whether the user changes the operation parameters or not by the air conditioner, if so, taking the operation parameters B changed by the user as the current operation parameters, and storing the operation parameters B; if not, go to step S4;
s4, the air conditioner judges whether an operation parameter C matched with the current time exists according to the operation parameter information stored in the previous day, if so, the operation parameter C is taken as the current operation parameter, and the step S3 is returned; if not, the air conditioner keeps the current operation parameters to continue to operate, and returns to step S3.
Further, the operation parameter includes at least one of temperature information, air-conditioning mode information, and time information.
Preferably, in step S1, the method specifically includes:
s101, starting an air conditioner;
s102, the air conditioner judges whether an intelligent self-learning working mode is started or not, and if the intelligent self-learning working mode is started, the step S103 is carried out; if not, reminding the user to perform corresponding air conditioner regulation and control;
s103, judging whether the running parameters are stored or not by the air conditioner, and if so, performing a step S104; if not, go to step S106;
s104, the air conditioner judges whether the stored operation parameters are the operation parameters of the previous day, if so, at least one operation parameter stored in the previous day is obtained, and the step S2 is continued; if not, go to step S105;
s105, the air conditioner takes the operation parameters stored in the latest day as the operation parameters of the previous day according to the time sequence, obtains at least one operation parameter, and continues to perform the step S2;
s106, reminding a user to set operation parameters;
s107, judging whether the user sets the operation parameters or not, if so, operating the air conditioner according to the user set parameters, and storing the user set parameters; if not, the process returns to step S106.
Preferably, in step S2, the method specifically includes:
s201, operating an air conditioner;
s202, the air conditioner judges whether an operation parameter A1 matched with the current time direction exists or not, and if yes, the operation parameter A1 is used as the current operation parameter; if not, go to step S203;
and S203, the air conditioner takes the last operation parameter A2 stored in the previous day as the current operation parameter according to the time sequence.
Further, before the air conditioner stores any one operation parameter, whether the operation time of the air conditioner reaches the rated time T or not is judged under the corresponding operation parameter, and if the operation time of the air conditioner reaches the rated time T, the corresponding operation parameter is used as an effective operation parameter to be stored; and if the operation parameter does not reach the preset value, taking the corresponding operation parameter as an invalid operation parameter and not storing the invalid operation parameter.
Preferably, the air conditioner deletes all the operational parameters stored before the current day after storing all the valid operational parameters for the current day.
Preferably, the rated time T is more than or equal to 5 min.
An air conditioner adopting the intelligent control method of the air conditioner comprises the following steps:
the central processing module is arranged in the air conditioner indoor unit and used for processing the related information of the air conditioner;
the man-machine interaction module is connected with the central processing module and is used for acquiring user related information and sending reminding information;
the data storage module is arranged in the air conditioner indoor unit and connected with the central processing module and used for storing air conditioner operation parameters and corresponding preset information;
and the clock module is arranged in the air conditioner indoor unit and is connected with the central processing module for acquiring time information.
Further, the preset information stored by the data storage module includes a rated duration T; the data storage module is capable of storing at least one air conditioner operating parameter.
Preferably, the time information acquired by the clock module includes time point information and duration information.
Compared with the prior art, the invention provides the intelligent control method of the air conditioner, the user habit of the previous day is learned by the intelligent self-learning of the air conditioner, and the set habit of the air conditioner of the user is intelligently applied to the air conditioner control process of the same day, so that the automatic and intelligent regulation and control process of the air conditioner is realized; meanwhile, on the premise that the setting parameters of the corresponding time periods of a certain day and a plurality of days before and after the certain day are the same, a complicated manual and repeated setting process is avoided, so that a user does not need to manually modify the operation parameters, and the requirements of the user on the operation mode and the target temperature of the air conditioner at different time periods every day can be met.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of a method for intelligently controlling an air conditioner according to the present invention;
fig. 2 is a flowchart of a method of step S1 in the intelligent control method for an air conditioner according to the present invention;
fig. 3 is a flowchart of a method of step S2 in the intelligent control method for an air conditioner according to the present invention;
FIG. 4 is a flow chart of another method of an intelligent control method for an air conditioner according to the present invention;
fig. 5 is a schematic diagram of a structural module of an air conditioner according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention are further described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
Example 1
As shown in fig. 1, an intelligent control method for an air conditioner includes:
s1, the air conditioner acquires the operation parameter A stored in the previous day;
s2, operating the air conditioner, and taking the operating parameter A as the current operating parameter;
s3, judging whether the user changes the operation parameters or not by the air conditioner, if so, taking the operation parameters B changed by the user as the current operation parameters, and storing the operation parameters B; if not, go to step S4;
s4, the air conditioner judges whether an operation parameter C matched with the current time exists according to the operation parameter information stored in the previous day, if so, the operation parameter C is taken as the current operation parameter, and the step S3 is returned; if not, the air conditioner keeps the current operation parameters to continue to operate, and returns to step S3.
Wherein the operation parameter includes at least one of temperature information, air-conditioning mode information, and time information.
According to the air conditioner control method provided by the embodiment, the operation parameters stored in the previous day are read on the basis of the operation parameters stored in the previous day of the air conditioner, and the operation parameters are used as the operation parameters when the air conditioner is started, so that the air conditioner can intelligently learn the air conditioner setting of the user in the previous day, the air conditioner control process in the current day is determined according to the air conditioner setting of the user in the previous day, and the intelligent degree of air conditioner control is improved.
Meanwhile, in order to meet the requirements of the user on the operation mode and the target temperature of the air conditioner at different time periods every day, the air conditioner takes the change of the operation parameters of the user as the condition with the highest priority, adjusts and controls the air conditioner according to the change of the user, stores the changed operation parameters of the user on the same day, and completely performs the subsequent operation process of the air conditioner according to the operation parameters changed by the user after the change of the user.
If the user does not change the operation parameters, the air conditioner judges whether the operation parameters C matched with the current time exist or not according to the operation parameter information stored in the previous day in order to improve the intelligent degree of air conditioner control, and if the operation parameters C exist, the operation parameters C are used as the current operation parameters; if not, the air conditioner keeps the current operation parameters to continue to operate. This process has realized that the air conditioner sets for through the air conditioner of studying user's previous day, study user's air conditioner setting habit intelligently, and set for the air conditioner of user to use the air conditioner control process of user in the same day with the intelligence, thereby air conditioner automation has been realized, intelligent regulation and control process, simultaneously on the premise that the setting parameter of the corresponding time quantum of certain day and many days in the front and back is the same, the process of comparatively loaded down with trivial details manual repetition setting of manual has been avoided, make the user need not to carry out manual modification to operating parameter, also can satisfy the user's operation mode to the air conditioner, the demand of target temperature of different time quantums every day.
In addition, on the premise that the air conditioner stores corresponding operating parameters, for the air conditioner, the operating parameter B changed or set by a user is the operating parameter which is not stored, and the operating parameter B is stored; and for the operation parameter A or C, the operation parameter A or C is originally stored in the air conditioner, so that the air conditioner only needs to directly call the operation parameter A or C and does not need to repeatedly store the operation parameter A or C.
For example, the operation parameter information of the previous day stored by the air conditioner includes:
(1)9: 00-10:00, mode X1, temperature Y1;
(2)10: 00-13: 00, mode X2, temperature Y2.
When the air conditioner is started between 9:00 and 10:00 today, the air conditioner automatically operates in a mode X1 and at a temperature Y1; when it is 10:00, if the user does not change the operation parameters, the air conditioner automatically switches to operate in (mode X2, temperature Y2); meanwhile, the operation parameters are changed by the user no matter the user is between 9:00 and 10:00 or after 10:00, namely, the air conditioner is always changed to operate according to the operation parameters changed by the user under the condition that the air conditioner is in the (mode X1, temperature Y1) or in the (mode X2, temperature Y2), and the operation parameters changed by the user are stored.
Example 2
As shown in fig. 2 and fig. 4, in order to further improve the intelligence degree of the air conditioner control process in the present invention, clarify the specific judgment process of the air conditioner during the startup operation, and avoid the logical error of the air conditioner during the startup operation, this embodiment describes step S1 in detail based on the method of embodiment 1, and the specific content is:
s101, starting an air conditioner;
s102, the air conditioner judges whether an intelligent self-learning working mode is started or not, and if the intelligent self-learning working mode is started, the step S103 is carried out; if not, reminding the user to perform corresponding air conditioner regulation and control;
s103, judging whether the running parameters are stored or not by the air conditioner, and if so, performing a step S104; if not, go to step S106;
s104, the air conditioner judges whether the stored operation parameters are the operation parameters of the previous day, if so, at least one operation parameter stored in the previous day is obtained, and the step S2 is continued; if not, go to step S105;
s105, the air conditioner takes the operation parameters stored in the latest day as the operation parameters of the previous day according to the time sequence, obtains at least one operation parameter, and continues to perform the step S2;
s106, reminding a user to set operation parameters;
s107, judging whether the user sets the operation parameters or not, if so, operating the air conditioner according to the user set parameters, and storing the user set parameters; if not, the process returns to step S106.
After the air conditioner is started, preferentially determining whether an intelligent self-learning working mode is started or not in order to ensure the stability and reliability of the air conditioner control process, and if so, performing the subsequent steps; if the air conditioner is not started, stopping the intelligent control method of the air conditioner, and reminding a user to perform corresponding air conditioner regulation, wherein the method specifically comprises the following steps: reminding a user to start an intelligent self-learning working mode, reminding the user to manually set operation parameters, and then carrying out corresponding follow-up actions according to the operation of the user; if the intelligent self-learning working mode is started by the user after the reminding, the intelligent control method of the air conditioner continues, and if the operation parameters are manually set by the user after the reminding, the air conditioner normally operates according to the parameters manually set by the user.
Then, in order to avoid the occurrence of the conditions of damage of the storage function of the air conditioner, the first-time starting of the air conditioner for use, the first-time starting of the air conditioner for the intelligent self-learning working mode of the air conditioner, the first-time running of the air conditioner and the like, whether the running parameters are stored or not needs to be determined, if the running parameters are stored, the subsequent steps are carried out, if the running parameters are not stored, a user is reminded to set the running parameters, and after the user sets the running parameters, the running is carried out according to.
When the air conditioner is started to operate and corresponding operation parameters are stored for a plurality of days, and when the conditions that the air conditioner is not started to operate for the previous day, users do not change the operation parameters of the air conditioner for the previous day, the air conditioner cannot effectively store the operation parameters for the previous day and the like occur, whether the stored operation parameters are the operation parameters for the previous day or not needs to be judged to ensure that the method is still effective, and if yes, at least one operation parameter stored for the previous day is obtained; if not, the air conditioner takes the operation parameters stored in the latest day as the operation parameters of the previous day according to the time sequence, and obtains at least one operation parameter.
Example 3
As shown in fig. 3 and fig. 4, in order to further improve the intelligence degree of the air conditioner control process in the present invention, clarify the specific determination process of the air conditioner during the startup operation, and avoid the logical error of the air conditioner during the startup operation, this embodiment describes step S2 in detail based on the method of embodiment 1, and the specific content is:
s201, operating an air conditioner;
s202, the air conditioner judges whether an operation parameter A1 matched with the current time direction exists or not, and if yes, the operation parameter A1 is used as the current operation parameter; if not, go to step S203;
and S203, the air conditioner takes the last operation parameter A2 stored in the previous day as the current operation parameter according to the time sequence.
In step S203, if the air conditioner did not store any corresponding operation parameter in the previous day when the air conditioner was not started to operate in the previous day, the user did not change the operation parameter of the air conditioner in the previous day, the air conditioner failed to effectively store the operation parameter in the previous day, and the like, the last operation parameter stored in the previous day is regarded as the last operation parameter a2 stored in the previous day according to the chronological order, and the subsequent air conditioner control process is correspondingly performed.
Meanwhile, on the premise after step S1 is completed, to further describe the method of the present embodiment:
for example, the operating parameter information of the previous day (or the last day) stored by the air conditioner includes and only includes:
(1)9: 00-10:00, mode X1, temperature Y1;
(2)10: 00-13: 00, mode X2, temperature Y2;
(3)13:00 hours-17: 30 hours, mode X3, temperature Y3.
If the user does not intervene in the air conditioner control process all the time, the air conditioner is started at 8:30 at present, the air conditioner automatically operates at (mode X3, temperature Y3), and when the air conditioner operates to 9:00, 10:00 and 11:00 respectively, the air conditioner automatically switches to (mode X1, temperature Y1), (mode X2, temperature Y2), (mode X3 and temperature Y3) operation respectively.
If the user does not intervene in the air conditioner control process all the time, when the current sky air conditioner is powered on at 10:30, the air conditioner automatically operates at (mode X2, temperature Y2), and then when the air conditioner operates to 13:00, the air conditioner automatically switches to (mode X3, temperature Y3) operation.
If the user sets or modifies the air conditioner operation parameters, the air conditioner is changed to operate and store according to the operation parameters set or modified by the user no matter what operation parameters the air conditioner operates under; and meanwhile, in the later time, if the user does not make subsequent modification all the time, the air conditioner always continues to operate according to the operation parameters set or changed by the user, and if the user makes subsequent modification, the air conditioner is changed into the operation parameters modified by the user to operate and store.
Example 4
In order to clarify the storage process of the air conditioner on the operation parameters and ensure that the operation parameters stored by the air conditioner are all the operation parameters of the air conditioner in a stable and reliable operation environment, the embodiment provides that before any operation parameter is stored, the air conditioner judges whether the operation time of the air conditioner reaches the rated time T under the corresponding operation parameter, and if the operation time of the air conditioner reaches the rated time T, the corresponding operation parameter is taken as an effective operation parameter to be stored; and if the operation parameter does not reach the preset value, taking the corresponding operation parameter as an invalid operation parameter and not storing the invalid operation parameter. And simultaneously, after storing all the effective operating parameters of the current day, deleting all the operating parameters stored before the current day by the air conditioner.
Meanwhile, the rated time T is preferably more than or equal to 5 min.
For example, assume that the rated time period T is 6 min. The operation parameter information of the previous day (or the last day) stored by the air conditioner comprises:
(1)9:00 hours-12: 00 hours, mode X1, temperature Y1.
Assuming that the air conditioner is started at 9:00 and runs in a mode X1 and a temperature Y1, when 9:30 is reached, a user manually changes the mode X1 and the temperature Y1 to the mode X2 and the temperature Y2, the air conditioner runs according to the mode X2 and the temperature Y2, and if the running mode is changed again or the air conditioner is turned off and the like by the user between the 9:30 time and the 9:36 time (the endpoint time is not included, namely the running time of the air conditioner is less than 6min), the air conditioner does not store the running conditions changed by the user (the mode X2 and the temperature Y2); if after 9:36, if the user changes the operation mode again or the air conditioner is turned off at 9:40, the air conditioner stores the operation parameters of the time period, specifically: 9:30 time-9: 40 time, mode X2, temperature Y2.
Example 5
As shown in fig. 5, in order to ensure that an intelligent control method for an air conditioner in the present invention can be implemented completely and efficiently, the present embodiment provides an air conditioner, which adopts the intelligent control method for an air conditioner, and the air conditioner includes:
the central processing module is arranged in the air conditioner indoor unit and used for processing the related information of the air conditioner;
the man-machine interaction module is connected with the central processing module and is used for acquiring user related information and sending reminding information;
the data storage module is arranged in the air conditioner indoor unit and connected with the central processing module and used for storing air conditioner operation parameters and corresponding preset information;
and the clock module is arranged in the air conditioner indoor unit and is connected with the central processing module for acquiring time information.
The time information acquired by the clock module comprises time point information and duration information; the preset information stored by the data storage module comprises a rated time length T; the data storage module is capable of storing at least one air conditioner operating parameter. Meanwhile, in order to improve the general performance of the method aiming at air conditioners with different performances, the rated time T is an adjustable parameter.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the scope of protection of the present application.
Claims (9)
1. An intelligent control method for an air conditioner is characterized by comprising the following steps:
s1, the air conditioner acquires the operation parameter A stored in the previous day;
s2, operating the air conditioner, and taking the operating parameter A as the current operating parameter;
s3, judging whether the user changes the operation parameters or not by the air conditioner, if so, taking the operation parameters B changed by the user as the current operation parameters, and storing the operation parameters B; if not, go to step S4;
s4, the air conditioner judges whether an operation parameter C matched with the current time exists according to the operation parameter information stored in the previous day, if so, the operation parameter C is taken as the current operation parameter, and the step S3 is returned; if not, the air conditioner keeps the current operation parameters to continue to operate, and the step S3 is returned;
in step S1, the method includes:
s101, starting an air conditioner;
s102, the air conditioner judges whether an intelligent self-learning working mode is started or not, and if the intelligent self-learning working mode is started, the step S103 is carried out; if not, reminding the user to perform corresponding air conditioner regulation and control;
s103, judging whether the running parameters are stored or not by the air conditioner, and if so, performing a step S104; if not, go to step S106;
s104, the air conditioner judges whether the stored operation parameters are the operation parameters of the previous day, if so, at least one operation parameter stored in the previous day is obtained, and the step S2 is continued; if not, go to step S105;
s105, the air conditioner takes the operation parameters stored in the latest day as the operation parameters of the previous day according to the time sequence, obtains at least one operation parameter, and continues to perform the step S2;
s106, reminding a user to set operation parameters;
s107, judging whether the user sets the operation parameters or not, if so, operating the air conditioner according to the user set parameters, and storing the user set parameters; if not, the process returns to step S106.
2. An intelligent control method for air conditioners as claimed in claim 1, wherein the operation parameters include at least one of temperature information, air conditioner mode information and time information.
3. The intelligent control method for the air conditioner according to claim 1, wherein in step S2, the method specifically comprises:
s201, operating an air conditioner;
s202, the air conditioner judges whether an operation parameter A1 matched with the current time direction exists or not, and if yes, the operation parameter A1 is used as the current operation parameter; if not, go to step S203;
and S203, the air conditioner takes the last operation parameter A2 stored in the previous day as the current operation parameter according to the time sequence.
4. The intelligent control method of the air conditioner according to claim 1, wherein the air conditioner judges whether the operation time length of the air conditioner reaches the rated time length T under the corresponding operation parameter before storing any operation parameter, and if so, the corresponding operation parameter is stored as an effective operation parameter; and if the operation parameter does not reach the preset value, taking the corresponding operation parameter as an invalid operation parameter and not storing the invalid operation parameter.
5. An intelligent control method for an air conditioner as claimed in claim 4, wherein the air conditioner deletes all the operational parameters stored before the current day after storing all the valid operational parameters for the current day.
6. An intelligent control method for an air conditioner as claimed in claim 4, wherein the rated time T is greater than or equal to 5 min.
7. An air conditioner, characterized in that, the intelligent control method of the air conditioner is adopted, the air conditioner comprises the following steps:
the central processing module is arranged in the air conditioner indoor unit and used for processing the related information of the air conditioner;
the man-machine interaction module is connected with the central processing module and is used for acquiring user related information and sending reminding information;
the data storage module is arranged in the air conditioner indoor unit and connected with the central processing module and used for storing air conditioner operation parameters and corresponding preset information;
and the clock module is arranged in the air conditioner indoor unit and is connected with the central processing module for acquiring time information.
8. The air conditioner according to claim 7, wherein the preset information stored in the data storage module includes a rated time period T; the data storage module is capable of storing at least one air conditioner operating parameter.
9. The air conditioner according to claim 7, wherein the time information acquired by the clock module includes time point information and time duration information.
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| CN110118420A (en) * | 2019-05-30 | 2019-08-13 | 珠海格力电器股份有限公司 | Method, device and equipment for controlling personalized equipment according to time change |
| CN110567126B (en) * | 2019-09-23 | 2021-04-02 | 宁波奥克斯电气股份有限公司 | Control method and device for adjusting set temperature, storage medium and air conditioner |
| CN113375297A (en) * | 2021-06-15 | 2021-09-10 | 青岛海尔空调器有限总公司 | Method and device for controlling air conditioner and air conditioner |
| CN113883677B (en) * | 2021-09-16 | 2023-06-09 | 青岛海尔科技有限公司 | Control method and device of air conditioner, storage medium and electronic device |
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