CN113944994B - Air conditioner with user-defined operation function - Google Patents
Air conditioner with user-defined operation function Download PDFInfo
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- CN113944994B CN113944994B CN202111327721.XA CN202111327721A CN113944994B CN 113944994 B CN113944994 B CN 113944994B CN 202111327721 A CN202111327721 A CN 202111327721A CN 113944994 B CN113944994 B CN 113944994B
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- 230000006870 function Effects 0.000 claims abstract description 22
- 230000010354 integration Effects 0.000 claims abstract description 14
- 230000006855 networking Effects 0.000 claims abstract description 4
- 238000002372 labelling Methods 0.000 claims description 6
- 238000000034 method Methods 0.000 claims description 5
- 238000007791 dehumidification Methods 0.000 claims description 3
- 238000010438 heat treatment Methods 0.000 claims description 3
- 238000009434 installation Methods 0.000 claims description 3
- 238000005057 refrigeration Methods 0.000 claims description 3
- 238000009423 ventilation Methods 0.000 claims description 3
- 230000006872 improvement Effects 0.000 description 10
- 238000010586 diagram Methods 0.000 description 2
- 238000004378 air conditioning Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
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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
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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
- F24F11/52—Indication arrangements, e.g. displays
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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
- F24F11/56—Remote control
-
- 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
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet 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
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
-
- 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
- F24F11/62—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
- F24F2130/00—Control inputs relating to environmental factors not covered by group F24F2110/00
- F24F2130/10—Weather information or forecasts
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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
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- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses an air conditioner with a user-defined operation function, which relates to the technical field of air conditioner control and comprises a control instruction receiving module, a geographic information acquisition module, a user-defined mode setting unit, an operation logic integration module, a user cloud, an AI learning module, an intelligent recommendation module and an execution module, wherein the user-defined mode setting unit is used for the user to carry out the user-defined setting of a control principle, the AI learning module acquires the instant local time and weather information through networking, and then carries out relevance learning on the user-defined control principle called by the user and the information through AI learning; the user-defined mode setting unit is arranged in the air conditioner, and is used for a user to perform user-defined setting of one or more control principles, so that the formed user-defined control principles can meet the customized function requirements of the user, and the user experience of customers with different areas and different requirements can be optimized.
Description
Technical Field
The invention relates to the technical field of air conditioner control, in particular to an air conditioner with a user-defined operation function.
Background
Nowadays, air conditioners are popular among household households, and the types of household air conditioners are various, wherein the common types include wall-mounted air conditioners, cabinet air conditioners, window air conditioners and ceiling air conditioners, and the cabinet air conditioners are increasingly selected for use in households due to the advantages of wide-angle air supply and the like.
The control logic used by the existing air conditioner is designed in advance when leaving the factory, but with the gradual improvement of living standard, customers need customized control schemes to meet the use requirements so as to achieve the aim of comfort, and most of the existing air conditioners do not have the capability of being subjected to custom setting by users, so that the user experience is poor; therefore, the invention provides an air conditioner with a user-defined operation function, so as to solve the defects in the prior art.
Disclosure of Invention
In view of the above problems, an object of the present invention is to provide an air conditioner with a user-defined operation function, in which a user-defined mode setting unit is set in the air conditioner, and the user-defined mode setting unit is used to perform user-defined setting of one or more control principles, so that the formed user-defined control principles can meet the requirements of the user on the customized function, and the user experience of customers with different areas and different requirements can be optimized, so that the comfort of the user when using the air conditioner is improved.
In order to achieve the above purpose, the present invention provides the following technical solutions:
an air conditioner with a user-defined operation function comprises a control instruction receiving module, a geographic information acquisition module, a user-defined mode setting unit, an operation logic integration module, a user cloud, an AI learning module, an intelligent recommendation module and an execution module;
the control instruction receiving module is used for receiving a starting instruction sent by a user through a remote controller or a mobile phone APP and executing the starting instruction sent by the user;
the geographic information acquisition module is used for acquiring geographic position information data of the current installation position of the air conditioner after the control instruction receiving module executes startup sent by a user;
the user-defined mode setting unit is used for receiving a user-defined control request sent by a user through a remote controller or a mobile phone APP, displaying a user-defined control mode data setting interface for the user after the user passes the request, and allowing the user to perform user-defined setting of one or more control principles;
the operation logic integration module is used for integrating one or more custom control principles set by a user and writing the integrated one or more custom control principles into a main control program of the air conditioner;
the user cloud end is used for automatically storing a user-defined control principle set by a user written in a main control program of the air conditioner, and automatically uploading the user-defined control principle to the user cloud end for storage;
the AI learning module is used for acquiring the instant local time and weather information through networking when a user invokes a user-defined control principle stored in the user cloud, and then performing relevance learning on the user-defined control principle invoked by the user and the information through AI learning;
the intelligent recommendation module is used for automatically recommending the user-defined control principle which is most suitable in the current time and weather conditions to the user when the user invokes the user-defined control principle after the AI learning module finishes learning for a certain number of times;
the execution module is used for operating the air conditioner according to the user-defined control principle selected by the user.
The further improvement is that: when the user sets the custom mode setting unit to perform the custom setting of one or more control principles, the user firstly sets the length of the execution period of a single custom control principle, and sets the operation parameters in the custom control principle after setting the length of the execution period of the custom control principle.
The further improvement is that: when the user sets the length of the execution period of the single custom control principle, the shortest length of one execution period refers to the shortest length of the timing function of the air conditioner.
The further improvement is that: when the user sets the operation parameters in the custom control principle by the custom mode setting unit, the method specifically comprises the steps of setting the operation mode, the wind speed and the operation temperature of the air conditioner in the execution period, wherein the operation mode comprises refrigeration, heating, ventilation, dehumidification and the like.
The further improvement is that: when the user sets the running temperature of the air conditioner in the execution period by the user-defined mode setting unit, the running temperature is a single fixed value or a curve value composed of a plurality of values.
The further improvement is that: the operation logic integration module writes one or more integrated custom control principles into the main control program of the air conditioner and then labels the custom control principles.
The further improvement is that: the specific operation of the operation logic integration module for labeling the custom control principle is as follows: and (3) carrying out interpretation analysis on the key data written into one or more custom control principles in the main control program of the air conditioner, and carrying out labeling by taking the month as a label and taking the month as one or more custom control principles through learning analysis to obtain the most suitable use month of the corresponding custom control principles.
The further improvement is that: the AI learning module is also used for searching the custom control principle set by other users in the regions with similar climate types based on the Internet, and taking the custom control principle of the type as a recommendation scheme for the intelligent recommendation module to recommend to the users.
The further improvement is that: the AI learning module uploads the recommendation scheme obtained based on the Internet to the user cloud in real time, and forms an independent catalogue on the user cloud to store the recommendation scheme.
The further improvement is that: when the operation mode and the wind speed parameter in the custom control principle are the same, the intelligent recommendation module preferentially recommends the custom control principle under the curve value condition that the operation temperature consists of a plurality of values to the user.
The beneficial effects of the invention are as follows: the invention sets the custom mode setting unit in the air conditioner, and uses the custom mode setting unit to carry out custom setting of one or more control principles, so that the formed custom control principles can meet the customized function requirements of the user, optimize the user experience of customers with different areas and different requirements, and improve the comfort of the user when the user uses the air conditioner;
the user-defined control principle called by the user is subjected to relevance learning with the information through AI learning, after learning for a certain number of times, when the user calls the user-defined control principle, the intelligent recommendation module can automatically recommend the user-defined control principle most suitable for the current time and weather conditions to the user, so that the adjustment decision of the user on the air conditioner can be reduced, and the operation is simpler.
Drawings
FIG. 1 is a schematic view of a structural framework of the present invention;
FIG. 2 is a schematic diagram of the labeling process of the custom control principle of the present invention;
FIG. 3 is a schematic diagram of the operation logic flow of the air conditioner according to the present invention.
Detailed Description
The present invention will be further described in detail with reference to the following examples, which are only for the purpose of illustrating the invention and are not to be construed as limiting the scope of the invention.
1-3, the air conditioner with the user-defined operation function provided by the embodiment comprises a control instruction receiving module, a geographic information acquisition module, a user-defined mode setting unit, an operation logic integration module, a user cloud, an AI learning module, an intelligent recommendation module and an execution module;
the control instruction receiving module is used for receiving a starting instruction sent by a user through a remote controller or a mobile phone APP and executing the starting instruction sent by the user;
the geographic information acquisition module is used for acquiring geographic position information data of the current installation position of the air conditioner after the control instruction receiving module executes startup sent by a user;
the user-defined mode setting unit is used for receiving a user-defined control request sent by a user through a remote controller or a mobile phone APP, displaying a user-defined control mode data setting interface for the user after the user passes the request, and allowing the user to perform user-defined setting of one or more control principles;
when the user sets the user of one or more control principles in the user-defined mode setting unit, the user firstly sets the length of the execution period of a single user-defined control principle, and after setting the length of the execution period of the user-defined control principle, sets the operation parameters in the user-defined control principle; when the user sets the length of the execution period of a single custom control principle, the shortest length of one execution period refers to the shortest length of the timing function of the air conditioner; when the user sets the operation parameters in the custom control principle by the custom mode setting unit, the method specifically comprises the steps of setting the operation mode, the wind speed and the operation temperature of the air conditioner in the execution period, wherein the operation mode comprises refrigeration, heating, ventilation, dehumidification and the like; when the user sets the operation temperature of the air conditioner in the execution period by the custom mode setting unit, the operation temperature is a single fixed value or a curve value composed of a plurality of values, for example, at night in summer, the single set operation temperature is not suitable for the latter half of the night due to the larger temperature difference between the last half of the night and the second half of the night, so that the user experience is reduced, and the custom mode setting unit is used for enabling the air conditioner to execute a custom control principle comprising the curve value by setting the operation temperature to the curve value composed of a plurality of temperature values so as to ensure that the most comfortable air conditioning experience can be experienced all night in summer and night;
the operation logic integration module is used for integrating one or more custom control principles set by a user and writing the integrated one or more custom control principles into the main control program of the air conditioner, and the operation logic integration module tags the custom control principles after writing the integrated one or more custom control principles into the main control program of the air conditioner, and the operation logic integration module performs the specific operation of tagging the custom control principles: the method comprises the steps of performing interpretation analysis on key data written into one or more custom control principles in a main control program of an air conditioner, and performing labeling by taking months as labels to serve as one or more custom control principles through learning analysis to obtain the most suitable use month of the corresponding custom control principles, for example: when the operation logic integration module analyzes that the operation temperature, the operation mode and the humidity in the custom control principle are most in accordance with the use condition of the optimal air conditioner in 8 months, the custom control principle is labeled as the optimal 8-month control principle;
the user cloud end is used for automatically storing a user-defined control principle set by a user written in a main control program of the air conditioner, and automatically uploading the user-defined control principle to the user cloud end for storage;
the AI learning module is used for acquiring the instant local time and weather information through networking when a user invokes a user-defined control principle stored in the user cloud, and then performing relevance learning on the user-defined control principle invoked by the user and the information through AI learning; the AI learning module is also used for searching the custom control principle set by other users in the similar climate type region based on the Internet, and taking the custom control principle of the type as a recommendation scheme for the intelligent recommendation module to recommend to the user, and the AI learning module uploads the recommendation scheme acquired based on the Internet to the user cloud in real time, and forms a separate catalogue in the user cloud to store the catalogue
The intelligent recommendation module is used for automatically recommending the user-defined control principle which is most suitable for the current time and weather conditions to the user when the user invokes the user-defined control principle after the AI learning module finishes learning for a certain number of times, and preferentially recommending the user-defined control principle under the curve value condition that the operation temperature is composed of a plurality of values to the user when the operation mode and the wind speed parameter in the user-defined control principle are the same;
the execution module is used for operating the air conditioner according to the user-defined control principle selected by the user.
The invention sets the custom mode setting unit in the air conditioner, and uses the custom mode setting unit to carry out custom setting of one or more control principles, so that the formed custom control principles can meet the customized function requirements of the user, optimize the user experience of customers with different areas and different requirements, and improve the comfort of the user when the user uses the air conditioner;
the user-defined control principle called by the user is subjected to relevance learning with the information through AI learning, after learning for a certain number of times, when the user calls the user-defined control principle, the intelligent recommendation module can automatically recommend the user-defined control principle which is most suitable in the current time and weather conditions to the user, so that the adjustment decision of the user on the air conditioner can be reduced, and the basic principle, main characteristics and advantages of the invention are displayed and described above with simpler operation. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. An air conditioner with user-defined operation function, which is characterized in that: the system comprises a control instruction receiving module, a geographic information acquisition module, a custom mode setting unit, an operation logic integration module, a user cloud, an AI learning module, an intelligent recommendation module and an execution module;
the control instruction receiving module is used for receiving a starting instruction sent by a user through a remote controller or a mobile phone APP and executing the starting instruction sent by the user;
the geographic information acquisition module is used for acquiring geographic position information data of the current installation position of the air conditioner after the control instruction receiving module executes startup sent by a user;
the user-defined mode setting unit is used for receiving a user-defined control request sent by a user through a remote controller or a mobile phone APP, displaying a user-defined control mode data setting interface for the user after the user passes the request, and allowing the user to perform user-defined setting of one or more control principles;
the operation logic integration module is used for integrating one or more custom control principles set by a user and writing the integrated one or more custom control principles into a main control program of the air conditioner;
the user cloud end is used for automatically storing a user-defined control principle set by a user written in a main control program of the air conditioner, and automatically uploading the user-defined control principle to the user cloud end for storage;
the AI learning module is used for acquiring the instant local time and weather information through networking when a user invokes a user-defined control principle stored in the user cloud, and then performing relevance learning on the user-defined control principle invoked by the user and the information through AI learning;
the intelligent recommendation module is used for automatically recommending the user-defined control principle which is most suitable in the current time and weather conditions to the user when the user invokes the user-defined control principle after the AI learning module finishes learning for a certain number of times;
the execution module is used for operating the air conditioner according to a user-defined control principle selected by a user;
when the user sets the running temperature of the air conditioner in the execution period by the user-defined mode setting unit, the running temperature is a single fixed value or a curve value composed of a plurality of values;
when the operation mode and the wind speed parameter in the custom control principle are the same, the intelligent recommendation module preferentially recommends the custom control principle under the curve value condition that the operation temperature consists of a plurality of values to the user.
2. An air conditioner with user-defined operation function according to claim 1, wherein: when the user sets the custom mode setting unit to perform the custom setting of one or more control principles, the user firstly sets the length of the execution period of a single custom control principle, and sets the operation parameters in the custom control principle after setting the length of the execution period of the custom control principle.
3. An air conditioner with user-defined operation function according to claim 2, wherein: when the user sets the length of the execution period of the single custom control principle, the shortest length of one execution period refers to the shortest length of the timing function of the air conditioner.
4. An air conditioner with user-defined operation function according to claim 3, wherein: when the user sets the operation parameters in the custom control principle by the custom mode setting unit, the method specifically comprises the steps of setting the operation mode, the wind speed and the operation temperature of the air conditioner in the execution period, wherein the operation mode comprises refrigeration, heating, ventilation and dehumidification.
5. An air conditioner with user-defined operation function according to claim 1, wherein: the operation logic integration module writes one or more integrated custom control principles into the main control program of the air conditioner and then labels the custom control principles.
6. The air conditioner with user-defined operation function according to claim 5, wherein: the specific operation of the operation logic integration module for labeling the custom control principle is as follows: and (3) carrying out interpretation analysis on the key data written into one or more custom control principles in the main control program of the air conditioner, and carrying out labeling by taking the month as a label and taking the month as one or more custom control principles through learning analysis to obtain the most suitable use month of the corresponding custom control principles.
7. An air conditioner with user-defined operation function according to claim 1, wherein: the AI learning module is also used for searching the custom control principle set by other users in the regions with similar climate types based on the Internet, and taking the custom control principle of the type as a recommendation scheme for the intelligent recommendation module to recommend to the users.
8. The air conditioner with user-defined operation function according to claim 7, wherein: the AI learning module uploads the recommendation scheme obtained based on the Internet to the user cloud in real time, and forms an independent catalogue on the user cloud to store the recommendation scheme.
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| CN105444336B (en) * | 2014-08-22 | 2018-11-20 | 广东美的制冷设备有限公司 | The control method and air conditioner of air conditioner |
| CN105444359B (en) * | 2015-12-14 | 2018-10-30 | 海信（山东）空调有限公司 | A kind of air conditioning control method |
| CN106288163B (en) * | 2016-08-09 | 2019-08-16 | 广东美的制冷设备有限公司 | Air conditioner and one key start-up control method |
| CN108006927A (en) * | 2017-12-19 | 2018-05-08 | 珠海格力电器股份有限公司 | Air conditioner and control method thereof |
| CN109442667A (en) * | 2018-11-08 | 2019-03-08 | 奥克斯空调股份有限公司 | A kind of air-conditioner control method and air conditioner |
| CN112413839B (en) * | 2020-10-20 | 2022-01-28 | 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 |
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