CN114719421A - Intelligent control method of air conditioner, storage medium and air conditioner - Google Patents
Intelligent control method of air conditioner, storage medium and air conditioner Download PDFInfo
- Publication number
- CN114719421A CN114719421A CN202210544435.7A CN202210544435A CN114719421A CN 114719421 A CN114719421 A CN 114719421A CN 202210544435 A CN202210544435 A CN 202210544435A CN 114719421 A CN114719421 A CN 114719421A
- Authority
- CN
- China
- Prior art keywords
- air conditioner
- mode
- node
- control method
- intelligent control
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 41
- 238000004590 computer program Methods 0.000 claims description 10
- 238000005057 refrigeration Methods 0.000 claims description 8
- 238000010438 heat treatment Methods 0.000 claims description 7
- 238000013500 data storage Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 3
- 238000001816 cooling Methods 0.000 claims description 2
- 238000009529 body temperature measurement Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 230000009191 jumping Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000036760 body temperature Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000007664 blowing Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000010801 machine learning Methods 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
Images
Classifications
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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 the user; s2, judging whether a 'common mode' instruction is received or not, 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, a node corresponding to the current moment and operating parameters; if not, go to step S3; and S3, determining the operation mode of the air conditioner according to the pre-stored mode and the pre-judged mode. The intelligent control method of the air conditioner realizes that the air conditioner automatically enters an operation mode matched with a user when the air conditioner is started by associating and storing the user information, the current node and the air conditioner operation parameter and splicing the discrete data to form a control line related to a time axis; meanwhile, the pre-stored mode is compared with the pre-judged mode, so that accurate and reliable air conditioner control is ensured, and the comfort is good.
Description
Technical Field
The invention relates to the technical field of air conditioners, in particular to an air conditioner intelligent control method, a storage medium and an air conditioner.
Background
With the development of technology, air conditioners have become one of indispensable electrical devices. At present, the mainstream air conditioners in the market all need to manually set operation parameters, and intelligence is difficult to realize. Different users have different requirements on the operation mode and the target temperature of the same air conditioner, and the operation is very complicated due to the fact that the parameters of the air conditioner need to be set for many times in one day, and the air conditioner is especially not humanized for the old or the disabled, and the user experience is poor.
The existing intelligent control method of the air conditioner cannot completely meet the use requirements of users, and part of users even feed back the environment provided by the air conditioner to be not comfortable enough, but bring more troubles. For example, chinese patent application No. 201710509405.1 discloses an intelligent control method for an air conditioner, which intelligently applies the set habits of the air conditioner of a user to the control process of the air conditioner of the same day by learning the user habits of the previous day to realize automation and intelligence of the air conditioner, and meets the requirements of the user on the operation mode and the target temperature of the air conditioner at different time periods every day, but the method has poor comfort due to different users or large temperature fluctuation when the user is in season change.
In view of the above, the present invention is particularly proposed.
Disclosure of Invention
The invention solves the problem that the existing infrared remote controller of the air conditioner is generally used, but the control method is simpler and is difficult to realize humanized intelligent control aiming at a specific user.
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 the user;
s2, judging whether a 'common mode' instruction is received or not, 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, a node corresponding to the current moment and operating parameters; if not, go to step S3;
and S3, determining the operation mode of the air conditioner according to the pre-stored mode and the pre-judged mode.
The intelligent control method of the air conditioner realizes that the air conditioner automatically enters an operation mode matched with a user when the air conditioner is started by associating and storing the user information, the current node and the air conditioner operation parameter and splicing the discrete data to form a control line related to a time axis; meanwhile, the pre-stored mode is compared with the pre-judged mode, so that accurate and reliable air conditioner control is ensured, and the comfort is good.
When a user clicks the common mode, jumping to the common mode, wherein the priority of the pre-judging mode is smaller than that of manual setting, and the pre-judging mode is operated by default after starting up; and clicking 'modification' to enter a data input interface by default, modifying the first node corresponding to the current running time, and clicking 'other' to 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 the air conditioner to operate, and scanning by radar to obtain the position of an object;
s12, acquiring infrared information of the object, and acquiring indoor image information when the detection temperature is 35-40 ℃;
and 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, the image processing data volume is reduced through multi-stage operation and judgment, and the information is accurate. Preferably, the radar is a millimeter wave radar, and the body temperature of the user is detected by using an infrared thermometer.
Preferably, the operation parameters in step S2 include an operation mode, a preset temperature, a windshield, a yaw angle, and a yaw 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 the data information of the user is stored, if yes, entering the step S32; if not, according to the outdoor temperature TOuter ringIndoor temperature TInner ringObtaining a pre-judging mode according to the size relation with a preset value, and operating the air conditioner according to the pre-judging mode;
s32, judging whether the data contain a pre-storage mode of a first node, wherein the first node is a node corresponding to the current moment, and if yes, controlling the air conditioner to operate according to the pre-storage mode of the first node; if not, go to step S33;
s33, acquiring a pre-stored mode of the second node; and judging whether the pre-storage mode of a second node is consistent with the pre-judgment 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-storage mode of the second node, and if not, the air conditioner operates according to the pre-judgment mode.
And S34, recording and storing the user information, the node corresponding to the current time and the operation parameters.
If no data is stored, operating according to a pre-judging mode; if the stored data exist, when the pre-storage mode of the first node is consistent with the pre-judging mode, the pre-storage mode is operated; if not, operating a prejudgment mode; when no first node data exists but second node data exists, if the pre-stored mode of the second node is consistent with the pre-judging mode, the operation parameter is recorded to the first node, otherwise, the pre-judging mode is operated and recorded to the first node.
Preferably, the anticipation mode of step S31 is determined by the following method:
s311, detecting andjudging whether T is presentOuter ring≥T1If yes, the air conditioner operates in a refrigeration mode; if not, go to step S312;
s312, detecting and judging whether T is availableInner ring≥T2If yes, the air conditioner operates in a refrigeration mode; if not, go to step S313;
s313, detecting and judging whether T is presentInner ring≤T3If yes, the air conditioner operates in a heating mode; if not, the air conditioner keeps the original operation mode.
Wherein T isOuter ring、TInner ringThe outdoor ambient temperature and the indoor ambient temperature measured by the temperature sensor are respectively. Preferably, in step S32, the corresponding duration of the first node is X × 24h/n, n is a positive integer, and X is 0.1 to 1. The second node and the first node are different time periods with the same duration.
For example, the air conditioner records according to days, weeks or months, and each recording period is divided into a plurality of nodes, for example, 24 nodes, such as 1:00, 2:00, 3:00, 24: 00; or 48 nodes per day, such as 1:00, 1:30, 2:00, 2:30 … 23:30, 24: 00. preferably, if entering next month, inquiring whether to copy the data of the current month to the next month, copying after the user agrees and recording in the next month if changing the content in the next month, otherwise, storing no data in the next month.
Preferably, before any operating parameter is stored, whether the operating time of the air conditioner under the corresponding operating parameter reaches the rated time t or not is judged2If yes, storing the corresponding operation parameters as effective parameters; and if not, taking the corresponding operation parameter as an invalid parameter, and not storing. Preferably, after the air conditioner stores the effective parameters of the current user and the current node, the previously stored operating parameters of the current user and the current node are deleted. Preferably, said t is2Is 1-3min, such as 1 min.
Compared with the prior art, the intelligent control method of the air conditioner has the following beneficial effects: 1) the method utilizes radar, infrared temperature measurement and face recognition to accurately recognize different operation users, and simultaneously intelligently controls the air conditioner according to user habits and time points; 2) the device is adjusted by comparing the pre-judging mode with the pre-storing mode to prevent misjudgment, so that the comfort is good; 3) and mode switching is selectively carried out, so that the diversified requirements of users are met.
The present invention also provides a readable storage medium having stored thereon a computer program which, when executed, implements the above-described intelligent control method of an air conditioner. The invention also provides an air conditioner, which comprises a readable storage medium and a processor, wherein the readable storage medium is used for storing the computer program, and the computer program is read by the processor and runs to realize the intelligent control method of the air conditioner. The readable storage medium and the air conditioner have the same beneficial effects as the intelligent control method of the air conditioner, and the details are not repeated herein.
Drawings
FIG. 1 is a schematic diagram illustrating 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 for an air conditioner according to an embodiment of the present invention;
fig. 3 is another schematic flow chart of an intelligent control method for an air conditioner according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. Those skilled in the art will be able to adapt it as needed to suit particular applications.
With the development and progress of the times, consumers can select air conditioners to pay more attention to the use experience instead of only the hardware quality of products. The existing air conditioner usually needs a user to manually set operation parameters according to self requirements, and the operation is very complicated, wherein the operation parameters comprise an operation mode, and the temperature, the air volume, the blowing direction and the like on the basis. In order to meet the market demand, the functions of the air conditioner are increasingly diversified, and the control is more delicate, which undoubtedly further increases the operation difficulty, resulting in poor user experience.
With the rapid development of artificial intelligence, machine learning and other technologies, the intelligent control method related to the air conditioner is also gradually a research focus. For this reason, the applicant proposes the following technical solutions.
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 storing can be carried out in an intelligent mode; in the common mode, the operation parameter storage can be carried out by clicking the operation record; correspondingly, the controller of the air conditioner can store or read the operation parameters, and when the operation parameters are read, the air conditioner operates the load according to the read parameters.
The air conditioner defaults to enter an intelligent mode, when a user clicks a common mode, the air conditioner jumps to the common mode, the priority of the prejudging mode is smaller than that of manual setting, and the prejudging mode is operated by default after the air conditioner is started again; and clicking 'modification' to enter a data input interface by default, modifying the first node corresponding to the current running time, and clicking 'other' to browse all nodes or modify any node. Clicking the intelligent mode, and jumping to the intelligent mode; and clicking the record, recording the parameters of the first node, and operating the pre-storage mode by default after the computer is started again. If no data is stored, operating according to a pre-judging mode; if the stored data exist, when the pre-storage mode of the first node is consistent with the pre-judging mode, the pre-storage mode is operated, modes such as refrigeration and heating are operated according to parameters set by a user, multiple times of adjustment of the user is not needed, and user experience is good; if not, operating a prejudgment mode; in order to avoid influencing user experience, when the air conditioner control mode and the pre-judging mode are not matched, the basic requirements of a user on temperature regulation are met, and the user experience is good. When no first node data exists but second node data exists, if the pre-stored mode of the second node is consistent with the pre-judging mode, the operation parameter is recorded to the first node, otherwise, the pre-judging mode is operated and recorded 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 the user;
specifically, the following steps are adopted:
s11, starting the air conditioner to operate, and scanning by radar to obtain the position of an object;
s12, acquiring infrared information of the object, and acquiring indoor image information when the detection temperature is 35-40 ℃;
and 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 volume is reduced and the identity information of the user is ensured to be accurate through multi-stage operation and judgment. Preferably, the radar is a millimeter wave radar, the body temperature of the user is detected by using an infrared thermometer, and a specific detection method thereof is the prior art and is not described herein again.
S2, judging whether a 'common mode' instruction is received or not, 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, a node corresponding to the current moment and operating parameters; if not, go to 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 comprise a refrigeration mode, a heating mode, a comfort mode and a defrosting mode.
And S3, determining the operation mode of the air conditioner according to the pre-stored mode and the pre-judged mode.
Specifically, step S3 includes:
s31, judging whether the data information of the user is stored, if yes, entering the step S32; if not, according to the outdoor temperature TOuter ringIndoor temperature TInner ringObtaining a pre-judging mode according to the size relation with a preset value, and operating the air conditioner according to the pre-judging mode;
preferably, the predetermined mode adopts the following method:
s311, detecting and judging whether T is availableOuter ring≥T1If yes, the air conditioner operates in a refrigeration mode; if not, go to step S312;
s312, detecting and judging whether T is availableInner ring≥T2If yes, the air conditioner operates in a refrigeration mode; if not, go to step S313;
s313, detecting and judging whether T is presentInner ring≤T3If yes, the air conditioner operates in a heating mode; if not, the air conditioner keeps the original operation mode.
As an example of the present invention, the T1、T2、T3The values of (A) are respectively 28-31 deg.C, 25.5-26.5 deg.C, and 18-22 deg.C, preferably, the T is1、T2、T3Respectively at 30 deg.C, 26 deg.C, and 19-a deg.C, wherein a is the compensation temperature of the inner environment in heating mode, such as 1-3 deg.C.
S32, judging whether the data contain a pre-storage mode of a first node, wherein the first node is a node corresponding to the current moment, and if yes, controlling the air conditioner to operate according to the pre-storage 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 is 0.1 to 1. The second node and the first node are different time periods with the same duration. For example, the air conditioner records according to days, weeks or months, and each recording period is divided into a plurality of nodes, for example, 24 nodes, such as 1:00, 2:00, 3:00, 24: 00; or 48 nodes per day, such as 1:00, 1:30, 2:00, 2:30 … 23:30, 24: 00. preferably, if entering next month, inquiring whether to copy the data of the current month to the next month, copying after the user agrees and recording in the next month if changing the content in the next month, otherwise, storing no data in the next month.
S33, acquiring a pre-stored mode of the second node; and judging whether the pre-storage mode of a second node is consistent with the pre-judgment 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-storage mode of the second node, and if not, the air conditioner operates according to the pre-judgment mode.
And S34, recording and storing the user information, the node corresponding to the current time and the operation parameters.
Preferably, before any operating parameter is stored, whether the operating time of the air conditioner under the corresponding operating parameter reaches the rated time t or not is judged2If yes, storing the corresponding operation parameters as effective parameters; and if not, taking the corresponding operation parameter as an invalid parameter, and not storing. Preferably, after the air conditioner stores the effective parameters of the current user and the current node, the previously stored operating parameters of the current user and the current node are deleted. Preferably, said t is2Is 1-3min, such as 1 min.
The method accurately identifies different operation users by utilizing radar, infrared temperature measurement and face identification, associates and stores user information, current nodes and air conditioner operation parameters, splices discrete data to form a control line about a time axis, and realizes that the system automatically enters an operation mode matched with the users when being started; meanwhile, the pre-stored mode and the pre-judged mode are compared and adjusted to prevent misjudgment, so that accurate and reliable air conditioner control is ensured, and the comfort is good.
The present invention also provides a readable storage medium having stored thereon a computer program which, when executed, implements the above-described intelligent control method of an air conditioner. The readable storage medium may be a readable storage medium or a readable signal medium, such as: u disk, removable 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 ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one type of logical functional division, and other divisions may be realized in practice, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed.
The invention also provides an air conditioner, which comprises a readable storage medium and a processor, wherein the readable storage medium is used for storing the computer program, and the computer program is read by the processor and runs to realize the intelligent control method of the air conditioner. The air conditioner can be a cabinet air conditioner, a wall-mounted air conditioner, a ceiling type 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 the details are not repeated herein.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. An intelligent control method for an air conditioner is characterized by comprising the following steps:
s1, starting up, and identifying the user;
s2, judging whether a 'common mode' instruction is received or not, 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, a node corresponding to the current moment and operating parameters; if not, go to step S3;
and S3, determining the operation mode of the air conditioner according to the pre-stored mode and the pre-judged mode.
2. The air conditioner controlling method according to claim 1, wherein the step S1 includes:
s11, starting the air conditioner to operate, and scanning by radar to obtain the position of an object;
s12, acquiring infrared information of the object, and acquiring indoor image information when the detection temperature is 35-40 ℃;
and S13, performing face recognition according to the image information to acquire the identity information of the user.
3. The air conditioner control method according to claim 1, wherein the operation parameters in step S2 include operation mode, preset temperature, windshield, swing angle, and swing speed.
4. The intelligent control method of an air conditioner according to claim 3, wherein the operation modes in step S2 include a cooling mode, a heating mode, a comfort mode, and a defrost mode.
5. The intelligent control method of the air conditioner according to claim 1, wherein the step S3 includes:
s31, judging whether the data information of the user is stored, if yes, entering the step S32; if not, according to the outdoor temperature TOuter ringIndoor temperature TInner ringObtaining a pre-judging mode according to the size relation with a preset value, and operating the air conditioner according to the pre-judging mode;
s32, judging whether the data contain a pre-storage mode of a first node, wherein the first node is a node corresponding to the current moment, and if yes, controlling the air conditioner to operate according to the pre-storage mode of the first node; if not, go to step S33;
s33, acquiring a pre-stored mode of a second node, and 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.
And S34, recording and storing the user information, the node corresponding to the current time and the operation parameters.
6. The intelligent control method of air conditioner according to claim 5, characterized in that the anticipation mode of step S31 is determined by the following method:
s311, detecting and judging whether T is availableOuter ring≥T1If yes, the air conditioner operates in a refrigeration mode; if not, go to step S312;
s312, detecting and judging whether T is availableInner ring≥T2If yes, the air conditioner operates in a refrigeration mode; if not, go to step S313;
s313, detecting and judging whether T is presentInner ring≤T3If yes, the air conditioner operates to heatA mode; if not, the air conditioner keeps the original mode to operate.
7. The intelligent control method for the air conditioner according to claim 5, wherein in step S32, the corresponding time length of the first node is X X24 h/n, n is a positive integer, and the value of X is 0.1-1.
8. The intelligent control method for the air conditioner according to claim 1, wherein the step S2 further comprises: before any operation parameter is stored, whether the operation time of the air conditioner under the corresponding operation parameter reaches the rated time t or not is judged2If yes, storing the corresponding operation parameters as effective parameters; and if not, taking the corresponding operation parameter as an invalid parameter, and not storing.
9. A readable storage medium on which a computer program is stored, wherein the computer program, when executed, implements the intelligent control method of air conditioners according to any one of claims 1 to 8.
10. An air conditioner, comprising a readable storage medium storing a computer program and a processor, wherein the computer program is read by the processor and executed to implement the intelligent control method of the air conditioner according to any one of claims 1 to 8.
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 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN114719421A true CN114719421A (en) | 2022-07-08 |
CN114719421B CN114719421B (en) | 2024-01-19 |
Family
ID=82232051
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210544435.7A Active CN114719421B (en) | 2022-05-18 | 2022-05-18 | Intelligent control method for air conditioner, storage medium and air conditioner |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN114719421B (en) |
Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103982982A (en) * | 2014-05-05 | 2014-08-13 | 美的集团股份有限公司 | Control method of air conditioner, and air conditioner |
JP2016017707A (en) * | 2014-07-09 | 2016-02-01 | 日立アプライアンス株式会社 | Air conditioning system |
CN105444359A (en) * | 2015-12-14 | 2016-03-30 | 海信(山东)空调有限公司 | Control method of air conditioner |
JP2016071722A (en) * | 2014-09-30 | 2016-05-09 | 三菱電機株式会社 | Apparatus management device, operation reproduction method and program |
CN107451242A (en) * | 2017-07-26 | 2017-12-08 | 广东美的制冷设备有限公司 | Data playback control method, system and computer-readable recording medium |
CN108826593A (en) * | 2018-04-18 | 2018-11-16 | 广东美的暖通设备有限公司 | A kind of air conditioner time control method, control system and air conditioner |
CN109059222A (en) * | 2018-06-19 | 2018-12-21 | 广东美的制冷设备有限公司 | Air conditioner and its control method, device and computer readable storage medium |
CN109114737A (en) * | 2018-08-28 | 2019-01-01 | 广东美的暖通设备有限公司 | Intelligent control method, system, equipment and the medium of air-conditioning |
CN109140706A (en) * | 2017-06-28 | 2019-01-04 | 奥克斯空调股份有限公司 | A kind of air conditioner intelligent control method |
CN109724215A (en) * | 2018-06-27 | 2019-05-07 | 平安科技(深圳)有限公司 | Air conditioning control method, air conditioning control device, air-conditioning equipment and storage medium |
CN110118420A (en) * | 2019-05-30 | 2019-08-13 | 珠海格力电器股份有限公司 | A kind of personalization equipment control method, device and equipment according to time change |
CN110500728A (en) * | 2019-08-26 | 2019-11-26 | 宁波奥克斯电气股份有限公司 | A kind of control method of air-conditioning, system, readable storage medium storing program for executing and air-conditioning |
CN112413839A (en) * | 2020-10-20 | 2021-02-26 | 珠海格力电器股份有限公司 | Intelligent operation control method based on weather prediction, air conditioner, medium and terminal |
-
2022
- 2022-05-18 CN CN202210544435.7A patent/CN114719421B/en active Active
Patent Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103982982A (en) * | 2014-05-05 | 2014-08-13 | 美的集团股份有限公司 | Control method of air conditioner, and air conditioner |
JP2016017707A (en) * | 2014-07-09 | 2016-02-01 | 日立アプライアンス株式会社 | Air conditioning system |
JP2016071722A (en) * | 2014-09-30 | 2016-05-09 | 三菱電機株式会社 | Apparatus management device, operation reproduction method and program |
CN105444359A (en) * | 2015-12-14 | 2016-03-30 | 海信(山东)空调有限公司 | Control method of air conditioner |
CN109140706A (en) * | 2017-06-28 | 2019-01-04 | 奥克斯空调股份有限公司 | A kind of air conditioner intelligent control method |
CN107451242A (en) * | 2017-07-26 | 2017-12-08 | 广东美的制冷设备有限公司 | Data playback control method, system and computer-readable recording medium |
CN108826593A (en) * | 2018-04-18 | 2018-11-16 | 广东美的暖通设备有限公司 | A kind of air conditioner time control method, control system and air conditioner |
CN109059222A (en) * | 2018-06-19 | 2018-12-21 | 广东美的制冷设备有限公司 | Air conditioner and its control method, device and computer readable storage medium |
CN109724215A (en) * | 2018-06-27 | 2019-05-07 | 平安科技(深圳)有限公司 | Air conditioning control method, air conditioning control device, air-conditioning equipment and storage medium |
CN109114737A (en) * | 2018-08-28 | 2019-01-01 | 广东美的暖通设备有限公司 | Intelligent control method, system, equipment and the medium of air-conditioning |
CN110118420A (en) * | 2019-05-30 | 2019-08-13 | 珠海格力电器股份有限公司 | A kind of personalization equipment control method, device and equipment according to time change |
CN110500728A (en) * | 2019-08-26 | 2019-11-26 | 宁波奥克斯电气股份有限公司 | A kind of control method of air-conditioning, system, readable storage medium storing program for executing and air-conditioning |
CN112413839A (en) * | 2020-10-20 | 2021-02-26 | 珠海格力电器股份有限公司 | Intelligent operation control method based on weather prediction, air conditioner, medium and terminal |
Also Published As
Publication number | Publication date |
---|---|
CN114719421B (en) | 2024-01-19 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108168034B (en) | Air conditioner control method | |
CN110308660B (en) | Intelligent equipment control method and device | |
CN108870686A (en) | Control method, air conditioner and the computer readable storage medium of air conditioner | |
AU2018246843A1 (en) | Data learning server and method for generating and using learning model thereof | |
EP3029389A2 (en) | Controlling system for environmental comfort degree and controlling method of the controlling system | |
WO2019120016A1 (en) | Image processing method and apparatus, storage medium, and electronic device | |
CN107222374B (en) | Appliances equipment control method, device and terminal device | |
CN106765971B (en) | Air conditioner control method and device | |
WO2021196483A1 (en) | Air-conditioning device and control method and apparatus therefor, and electronic device | |
CN111459388B (en) | Information screen display method, display equipment and storage medium for smart home information | |
CN110186161B (en) | Default parameter updating method, air conditioner self-learning control method and air conditioner | |
CN105042806A (en) | Air sweeping control method and device of air conditioner | |
CN105004005A (en) | Air conditioner control method and device and air conditioner | |
WO2022242143A1 (en) | Air conditioner control method and apparatus, and air conditioner | |
CN113739376B (en) | Air conditioning system, control method of air conditioning system, and computer-readable storage medium | |
CN112432322A (en) | Control method and control device for shared air conditioner | |
CN113495487A (en) | Terminal and method for adjusting operation parameters of target equipment | |
CN110953701B (en) | Operation control method, operation control device, air conditioner, and storage medium | |
CN112013517A (en) | Air conditioning apparatus, control method thereof, terminal control apparatus, and storage medium | |
CN112394647A (en) | Control method, device and equipment of household equipment and storage medium | |
CN114719421A (en) | Intelligent control method of air conditioner, storage medium and air conditioner | |
CN112013513A (en) | Air conditioning equipment, automatic control method thereof and terminal control equipment | |
CN111240217B (en) | State detection method and device, electronic equipment and storage medium | |
CN112325450A (en) | Method for acquiring control parameters of intelligent air conditioner and control equipment | |
CN112306011A (en) | Equipment control method and device |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |