CN114719421B - Intelligent control method for air conditioner, storage medium and air conditioner - Google Patents
Intelligent control method for air conditioner, storage medium and air conditioner Download PDFInfo
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- CN114719421B CN114719421B CN202210544435.7A CN202210544435A CN114719421B CN 114719421 B CN114719421 B CN 114719421B CN 202210544435 A CN202210544435 A CN 202210544435A CN 114719421 B CN114719421 B CN 114719421B
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- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000004590 computer program Methods 0.000 claims description 12
- 238000010438 heat treatment Methods 0.000 claims description 8
- 238000005057 refrigeration Methods 0.000 claims description 7
- 238000001816 cooling Methods 0.000 claims description 3
- 238000013500 data storage Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 3
- 238000009529 body temperature measurement Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 206010063385 Intellectualisation Diseases 0.000 description 2
- 230000036760 body temperature Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 230000002354 daily effect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000009191 jumping Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000003442 weekly effect Effects 0.000 description 2
- 238000004378 air conditioning Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000007664 blowing Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000011895 specific detection Methods 0.000 description 1
- 238000010257 thawing Methods 0.000 description 1
Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/65—Electronic processing for selecting an operating mode
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/89—Arrangement or mounting of control or safety devices
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
- F24F2110/12—Temperature of the outside air
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/10—Occupancy
- F24F2120/12—Position of occupants
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/20—Feedback from users
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
Abstract
The invention provides an air conditioner intelligent control method, a storage medium and an air conditioner, wherein the air conditioner intelligent control method comprises the following steps: s1, starting up, and identifying a user; s2, judging whether a normal mode instruction is received, if so, operating the air conditioner according to the received control instruction, and recording and storing related data, wherein the data comprises the identity information of the user, the node corresponding to the current moment and the operation parameter; if not, entering step S3; s3, determining the operation mode of the air conditioner according to the pre-stored mode and the pre-judging mode. The intelligent control method of the air conditioner disclosed by the invention is used for realizing that the air conditioner automatically enters an operation mode matched with a user when the air conditioner is started by correlating and storing user information, current nodes and operation parameters of the air conditioner and splicing discrete data to form a control line related to a time axis; meanwhile, the pre-stored mode is compared with the pre-judging mode, so that the air conditioner is ensured to be accurate and reliable in control and good in comfort.
Description
Technical Field
The invention relates to the technical field of air conditioners, in particular to an intelligent control method of an air conditioner, a storage medium and the air conditioner.
Background
With the development of technology, air conditioning has become one of the indispensable electrical devices. Currently, the mainstream air conditioners on the market all need to manually set operation parameters, and are difficult to realize intellectualization. Different users have different demands on the running mode and the target temperature of the same air conditioner, and the parameters of the air conditioner are required to be set for many times in one day, so that the operation is very complicated, and especially the operation is not humanized enough for the old or the disabled, and the user experience is poor.
The intelligent control method of the existing air conditioner cannot completely meet the use requirements of users, and part of users and even feedback air conditioners provide uncomfortable environments, so that more troubles are brought. For example, the chinese patent of application number 201710509405.1 discloses an intelligent control method for an air conditioner, which intelligently applies the air conditioner setting habit of a user to the air conditioner control process of the current day by learning the habit of the user of the previous day to realize the automation and the intellectualization of the air conditioner, and meets the requirements of the user on the running mode and the target temperature of the air conditioner in different time periods every day.
In view of this, the present invention has been made.
Disclosure of Invention
The invention solves the problems that the infrared remote controller of the current air conditioner is generally used, but the control method is simpler, and humanized intelligent control is difficult to realize for specific users.
In order to solve the above problems, the present invention provides an intelligent control method for an air conditioner, comprising:
s1, starting up, and identifying a user;
s2, judging whether a normal mode instruction is received, if so, operating the air conditioner according to the received control instruction, and recording and storing related data, wherein the data comprises the identity information of the user, the node corresponding to the current moment and the operation parameter; if not, entering step S3;
s3, determining the operation mode of the air conditioner according to the pre-stored mode and the pre-judging mode.
The intelligent control method of the air conditioner disclosed by the invention is used for realizing that the air conditioner automatically enters an operation mode matched with a user when the air conditioner is started by correlating and storing user information, current nodes and operation parameters of the air conditioner and splicing discrete data to form a control line related to a time axis; meanwhile, the pre-stored mode is compared with the pre-judging mode, so that the air conditioner is ensured to be accurate and reliable in control and good in comfort.
When the user clicks the normal mode, the user jumps to the normal mode, and the priority of the pre-judging mode is smaller than that of the manual setting, and the pre-judging mode is operated by default after the power-on; after clicking "modify", the data input interface is entered by default, the first node corresponding to the current running time can be modified, and clicking "other" can browse all nodes or modify any node. Clicking the intelligent mode, and jumping to the intelligent mode; clicking on "record" may record the parameters of the first node.
Preferably, step S1 includes:
s11, starting up and running an air conditioner, and acquiring the position of an object through radar scanning;
s12, acquiring infrared information of the object, and acquiring indoor image information when the detection temperature is 35-40 ℃;
s13, performing face recognition according to the image information to acquire the identity information of the user.
The identity information of the user is detected and determined through radar scanning, infrared temperature measurement and face recognition, and the image processing data quantity is reduced through multistage operation and judgment, and the information is accurate. Preferably, the radar is a millimeter wave radar, and the infrared thermometer is used for detecting the body temperature of the user.
Preferably, the operation parameters in step S2 include an operation mode, a preset temperature, a damper, a wind swinging angle, and a wind swinging speed. Preferably, the operation modes in step S32 include a cooling mode, a heating mode, a comfort mode, and a defrost mode.
Preferably, step S3 includes:
s31, judging whether to store the data information of the user, if so, entering a step S32; if not, according to the outdoor temperature T Outer ring Indoor temperature T Inner ring Acquiring a pre-judging mode according to the magnitude relation with a preset value, and operating the air conditioner according to the pre-judging mode;
s32, judging whether the data contain a pre-stored mode of a first node, wherein the first node is a node corresponding to the current moment, and if so, controlling the operation of an air conditioner according to the pre-stored mode of the first node; if not, go to step S33;
s33, acquiring a pre-stored mode of the second node; judging whether a pre-stored mode of a second node is consistent with the pre-judging mode, wherein the second node is the node which is closest to the first node and has data storage, if so, the air conditioner operates according to the pre-stored mode of the second node, and if not, the air conditioner operates according to the pre-judging mode.
S34, recording and storing user information, nodes corresponding to the current moment and operation parameters.
If no stored data exists, the operation is performed according to a pre-judging mode; if the stored data exists, when the pre-stored mode of the first node is consistent with the pre-judging mode, the pre-stored mode is operated; if the two modes are inconsistent, running a prejudgment mode; when the first node data is not available but the second node data is available, if the pre-stored mode of the second node is consistent with the pre-judging mode, recording the operation parameters to the first node, otherwise, operating the pre-judging mode and recording the operation parameters to the first node.
Preferably, the pre-judging mode in step S31 is determined by the following method:
s311, detecting and judging whether T is Outer ring ≥T 1 If yes, the air conditioner operates in a refrigeration mode; if not, go to step S312;
s312, detecting and judging whether T is Inner ring ≥T 2 If yes, the air conditioner operates in a refrigeration mode; if not, go to step S313;
s313, detecting and judging whether T is Inner ring ≤T 3 If yes, the air conditioner operates in a heating mode; if not, the air conditioner maintains the original operation mode.
Wherein T is Outer ring 、T Inner ring Outdoor environments measured by temperature sensors, respectivelyTemperature, indoor ambient temperature. Preferably, in step S32, the corresponding duration of the first node is x×24h/n, n is a positive integer, and X takes a value of 0.1-1. The second node and the first node are different time periods with the same duration.
For example, the air conditioner records on a daily or weekly or monthly basis, each recording cycle being divided into a plurality of nodes, such as 24 nodes per day, e.g., 1:00, 2:00, 3:00, 24:00; or 48 nodes per day, such as 1:00, 1:30, 2:00, 2:30 … 23:23, 30, 24:00. preferably, if the next month is entered, inquiry is made as to whether to copy the current month data to the next month, the user agrees to make the copy and change the content in the next month, and then the next month is recorded, otherwise, no data is stored in the next month.
Preferably, before any operation parameter is stored, whether the operation time of the air conditioner under the corresponding operation parameter reaches the rated time t is judged 2 If yes, storing the corresponding operation parameters as effective parameters; if not, the corresponding operation parameters are taken as invalid parameters and are not stored. Preferably, after the air conditioner stores the effective parameters of the current user and the current node, deleting the operation parameters of the current user and the current node stored before. Preferably, said t 2 1-3min, such as 1min.
Compared with the prior art, the intelligent control method of the air conditioner has the following beneficial effects: 1) According to the intelligent air conditioner control method, radar, infrared temperature measurement and face recognition are utilized to accurately identify different operation users, and meanwhile, the air conditioner is intelligently controlled according to user habits and time nodes; 2) The pre-judging mode and the pre-storing mode are compared and adjusted to prevent misjudgment, so that the comfort is good; 3) And the mode switching is selectively carried out, so that the diversified requirements of users are met.
The invention also provides a readable storage medium, on which a computer program is stored, which when executed implements the intelligent control method of air conditioner. The invention also provides an air conditioner, which comprises a readable storage medium and a processor, wherein the readable storage medium stores a computer program, and the computer program realizes the intelligent control method of the air conditioner when the computer program is read and run by the processor. The readable storage medium and the air conditioner have the same beneficial effects as the intelligent control method of the air conditioner, and are not described in detail herein.
Drawings
Fig. 1 is a schematic diagram of mode switching of an air conditioner according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of an intelligent control method of an air conditioner according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of another intelligent control method of an air conditioner according to an embodiment of the invention.
Detailed Description
In order that the above objects, features and advantages of the invention will be readily understood, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other. Those skilled in the art will be able to adapt it to the particular application as desired.
With the development and progress of the age, consumer selection of air conditioners is not focused on the hardware quality of products, but focuses more on the use experience. The existing air conditioner generally needs a user to manually set operation parameters according to own requirements, and the operation is very complicated, including an operation mode, temperature, air volume, air blowing direction and the like on the basis. In order to meet market demands, the air conditioner has increasingly diverse functions and finer control, which clearly further increases operation difficulty, resulting in poor user experience.
With the rapid development of artificial intelligence, machine learning and other technologies, intelligent control methods related to air conditioners are also becoming research hotspots gradually. For this, the applicant proposes the following technical solution.
As shown in fig. 1, the air conditioner remote controller comprises an intelligent mode and a common mode, and the two modes can be switched at any time; data reading or storage can be performed in the intelligent mode; in the normal mode, the operation record can be clicked to store the operation parameters; correspondingly, the controller of the air conditioner can store or read the operation parameters, and when the operation parameters are read, the air conditioner performs load operation according to the read parameters.
The air conditioner enters an intelligent mode by default, when a user clicks the common mode, the air conditioner jumps to the common mode, the priority of the pre-judging mode is smaller than that of manual setting, and the pre-judging mode is operated by default after the air conditioner is restarted; after clicking "modify", the data input interface is entered by default, the first node corresponding to the current running time can be modified, and clicking "other" can browse all nodes or modify any node. Clicking the intelligent mode, and jumping to the intelligent mode; clicking the record can record the parameters of the first node, and defaulting to a pre-stored mode after the first node is started again. If no stored data exists, the operation is performed according to a pre-judging mode; if the stored data exists, when the pre-stored mode of the first node is consistent with the pre-judging mode, the pre-stored mode is operated, modes such as refrigeration, heating and the like are operated according to parameters set by a user, multiple adjustment of the user is not needed, and user experience is good; if the two modes are inconsistent, running a prejudgment mode; in order to avoid influencing the user experience, when the two are not matched, the air conditioner control is performed by utilizing the pre-judging mode, so that the basic requirement of the user on temperature adjustment is met, and the user experience is good. When the first node data is not available but the second node data is available, if the pre-stored mode of the second node is consistent with the pre-judging mode, recording the operation parameters to the first node, otherwise, operating the pre-judging mode and recording the operation parameters to the first node.
As shown in fig. 2-3, the present invention provides an intelligent control method for an air conditioner, comprising:
s1, starting up, and identifying a user;
specifically, the following steps are adopted:
s11, starting up and running an air conditioner, and acquiring the position of an object through radar scanning;
s12, acquiring infrared information of the object, and acquiring indoor image information when the detection temperature is 35-40 ℃;
s13, performing face recognition according to the image information to acquire the identity information of the user.
The identity information of the user is detected and determined through radar scanning, infrared temperature measurement and face recognition, and the image processing data quantity is reduced and the accuracy of the identity information of the user is ensured through multistage operation and judgment. Preferably, the radar is a millimeter wave radar, and the infrared thermometer is used for detecting the body temperature of the user, and the specific detection method is the prior art and is not described herein.
S2, judging whether a normal mode instruction is received, if so, operating the air conditioner according to the received control instruction, and recording and storing related data, wherein the data comprises the identity information of the user, the node corresponding to the current moment and the operation parameter; if not, entering step S3;
the operation parameters comprise an operation mode, a preset temperature, a windshield, a wind swinging angle and a wind swinging speed. The operation modes include a cooling mode, a heating mode, a comfort mode, and a defrosting mode.
S3, determining the operation mode of the air conditioner according to the pre-stored mode and the pre-judging mode.
Specifically, step S3 includes:
s31, judging whether to store the data information of the user, if so, entering a step S32; if not, according to the outdoor temperature T Outer ring Indoor temperature T Inner ring Acquiring a pre-judging mode according to the magnitude relation with a preset value, and operating the air conditioner according to the pre-judging mode;
preferably, the pre-judging mode adopts the following method:
s311, detecting and judging whether T is Outer ring ≥T 1 If yes, the air conditioner operates in a refrigeration mode; if not, go to step S312;
s312, detecting and judging whether T is Inner ring ≥T 2 If yes, the air conditioner operates in a refrigeration mode; if not, go to step S313;
s313, detecting and judging whether T is Inner ring ≤T 3 If yes, the air conditioner operates in a heating mode; if not, the air conditioner maintains the original operation mode.
As an example of the present invention, the T 1 、T 2 、T 3 The values of (a) are 28-31 ℃, 25.5-26.5 ℃, 18-22 ℃ and preferablyOptionally, the T 1 、T 2 、T 3 Respectively 30 ℃, 26 ℃ and 19-a ℃, wherein a is the compensation temperature of the internal environment under the heating mode, such as 1-3 ℃.
S32, judging whether the data contain a pre-stored mode of a first node, wherein the first node is a node corresponding to the current moment, and if so, controlling the operation of an air conditioner according to the pre-stored mode of the first node; if not, go to step S33;
preferably, in step S32, the corresponding duration of the first node is x×24h/n, n is a positive integer, and X takes a value of 0.1-1. The second node and the first node are different time periods with the same duration. For example, the air conditioner records on a daily or weekly or monthly basis, each recording cycle being divided into a plurality of nodes, such as 24 nodes per day, e.g., 1:00, 2:00, 3:00, 24:00; or 48 nodes per day, such as 1:00, 1:30, 2:00, 2:30 … 23:23, 30, 24:00. preferably, if the next month is entered, inquiry is made as to whether to copy the current month data to the next month, the user agrees to make the copy and change the content in the next month, and then the next month is recorded, otherwise, no data is stored in the next month.
S33, acquiring a pre-stored mode of the second node; judging whether a pre-stored mode of a second node is consistent with the pre-judging mode, wherein the second node is the node which is closest to the first node and has data storage, if so, the air conditioner operates according to the pre-stored mode of the second node, and if not, the air conditioner operates according to the pre-judging mode.
S34, recording and storing user information, nodes corresponding to the current moment and operation parameters.
Preferably, before any operation parameter is stored, whether the operation time of the air conditioner under the corresponding operation parameter reaches the rated time t is judged 2 If yes, storing the corresponding operation parameters as effective parameters; if not, the corresponding operation parameters are taken as invalid parameters and are not stored. Preferably, after the air conditioner stores the effective parameters of the current user and the current node, deleting the operation parameters of the current user and the current node stored before. Preferably, said t 2 1-3min, such as 1min.
According to the invention, different operation users are accurately identified by utilizing radar, infrared temperature measurement and face recognition, and discrete data are spliced to form a control line about a time axis by correlating and storing user information, current nodes and air conditioner operation parameters, so that the automatic entering of an operation mode matched with the users during starting is realized; meanwhile, the pre-stored mode is compared with the pre-judging mode to be adjusted so as to prevent misjudgment, thereby ensuring accurate and reliable air conditioner control and good comfort.
The invention also provides a readable storage medium, on which a computer program is stored, which when executed implements the intelligent control method of air conditioner. The readable storage medium may be a readable storage medium or a readable signal medium, for example: u disk, mobile hard disk, ROM, RAM, magnetic or optical disk, etc. In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed.
The invention also provides an air conditioner, which comprises a readable storage medium and a processor, wherein the readable storage medium stores a computer program, and the computer program realizes the intelligent control method of the air conditioner when the computer program is read and run by the processor. The air conditioner can be a cabinet air conditioner, a wall-mounted air conditioner, a ceiling-mounted air conditioner, a fresh air conditioner and the like; the readable storage medium and the air conditioner have the same beneficial effects as the intelligent control method of the air conditioner, and are not described in detail herein.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be made by one skilled in the art without departing from the spirit and scope of the invention, and the scope of the invention should be assessed accordingly to that of the appended claims.
Claims (7)
1. An intelligent control method of an air conditioner is characterized by comprising the following steps:
s1, starting up, identifying a user, and comprising the following steps:
s11, starting up and running an air conditioner, and acquiring the position of an object through radar scanning;
s12, acquiring infrared information of the object, and acquiring indoor image information when the detection temperature is 35-40 ℃;
s13, performing face recognition according to the image information to acquire the identity information of the user;
s2, judging whether a normal mode instruction is received, if so, operating the air conditioner according to the received control instruction, and recording and storing related data, wherein the data comprises the identity information of the user, the node corresponding to the current moment and the operation parameter; if not, entering step S3;
s3, determining the operation mode of the air conditioner according to the pre-stored mode and the pre-judging mode, wherein the operation mode comprises the following steps:
s31, judging whether to store the data information of the user, if so, entering a step S32; if not, according to the outdoor temperature T Outer ring Indoor temperature T Inner ring Acquiring a pre-judging mode according to the magnitude relation with a preset value, and operating the air conditioner according to the pre-judging mode; the pre-judging mode is determined by the following method:
s311, detecting and judging whether T is Outer ring ≥T 1 If yes, the air conditioner operates in a refrigeration mode; if not, go to step S312;
s312, detecting and judging whether T is Inner ring ≥T 2 If yes, the air conditioner operates in a refrigeration mode; if not, go to step S313;
s313, detecting and judging whether T is Inner ring ≤T 3 If yes, the air conditioner operates in a heating mode; if not, the air conditioner keeps the original mode operation;
s32, judging whether the data contain a pre-stored mode of a first node, wherein the first node is a node corresponding to the current moment, and if so, controlling the operation of an air conditioner according to the pre-stored mode of the first node; if not, go to step S33;
inquiring whether to copy the current month data to the next month if entering the next month, copying after the user agrees, and recording in the next month when changing the content in the next month, otherwise, storing no data in the next month;
s33, acquiring a pre-stored mode of a second node, judging whether the pre-stored mode of the second node is consistent with the pre-judged mode, wherein the second node is the node which is closest to the first node and has data storage, if so, the air conditioner operates according to the pre-stored mode of the second node, and if not, the air conditioner operates according to the pre-judged mode;
s34, recording and storing user information, nodes corresponding to the current moment and operation parameters.
2. The intelligent control method according to claim 1, wherein the operation parameters in step S2 include an operation mode, a preset temperature, a damper, a wind swinging angle, and a wind swinging speed.
3. The intelligent control method according to claim 2, wherein the operation mode in step S2 includes a cooling mode, a heating mode, a comfort mode, and a defrost mode.
4. The intelligent control method according to claim 1, wherein in step S32, the corresponding duration of the first node is x×24h/n, n is a positive integer, and X is 0.1-1.
5. The intelligent control method of an air conditioner according to claim 1, wherein step S2 further comprises: before any operation parameter is stored, judging whether the operation time of the air conditioner under the corresponding operation parameter reaches the rated time t 2 If yes, storing the corresponding operation parameters as effective parameters; if not, the corresponding operation parameters are taken as invalid parameters and are not stored.
6. A readable storage medium having stored thereon a computer program, characterized in that the computer program, when executed, implements the intelligent control method of an air conditioner according to any one of claims 1-5.
7. An air conditioner comprising a readable storage medium storing a computer program and a processor, the computer program implementing the intelligent control method of air conditioner according to any one of claims 1-5 when read and run by the processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210544435.7A CN114719421B (en) | 2022-05-18 | 2022-05-18 | Intelligent control method for air conditioner, storage medium and air conditioner |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210544435.7A CN114719421B (en) | 2022-05-18 | 2022-05-18 | Intelligent control method for air conditioner, storage medium and air conditioner |
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| Publication Number | Publication Date |
|---|---|
| CN114719421A CN114719421A (en) | 2022-07-08 |
| CN114719421B true CN114719421B (en) | 2024-01-19 |
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| CN114719421A (en) | 2022-07-08 |
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