CN112944616A - Air conditioner control method and device and air conditioning unit - Google Patents
Air conditioner control method and device and air conditioning unit Download PDFInfo
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- CN112944616A CN112944616A CN202110303108.8A CN202110303108A CN112944616A CN 112944616 A CN112944616 A CN 112944616A CN 202110303108 A CN202110303108 A CN 202110303108A CN 112944616 A CN112944616 A CN 112944616A
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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
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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
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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
- F24F2130/00—Control inputs relating to environmental factors not covered by group F24F2110/00
- F24F2130/10—Weather information or forecasts
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Abstract
The invention discloses an air conditioner control method, an air conditioner control device and an air conditioner unit, wherein the method comprises the following steps: acquiring the position of an air conditioner to be controlled, and determining an air conditioner close to the air conditioner to be controlled according to the position of the air conditioner to be controlled; acquiring operation parameters of the adjacent air conditioner, and determining stable operation parameters in the operation parameters; and controlling the air conditioner to be controlled according to the stable operation parameters. The invention solves the problem that the control by adopting the parameters close to the air conditioner is not accurate enough in the prior art, and improves the accuracy of the control of the air conditioner.
Description
Technical Field
The invention relates to the technical field of air conditioners, in particular to an air conditioner control method and device and an air conditioning unit.
Background
With the continuous progress of air conditioners, the traditional air conditioner problem is no longer a problem to be considered by home users, the quality of the air conditioner and other problems can be well guaranteed, and the improvement point of the air conditioner gradually approaches to automatic control.
In the prior art, air conditioners in the range near to the air conditioner to be controlled are found out and various parameters of the air conditioners are collected for control through big data automatic control and self-learning capability. However, in the process of learning the parameters of the adjacent air conditioner, it may happen that the parameter setting of a certain adjacent air conditioner adopts the parameters which are factory-leaving or automatically set or the parameters which are frequently changed when the adjacent air conditioner is learned, which may reduce the accuracy of the air conditioner to be controlled when the parameter setting of the adjacent air conditioner is learned to a great extent.
Aiming at the problem that the control is not accurate enough by adopting parameters close to the air conditioner in the related technology, an effective solution is not provided at present.
Disclosure of Invention
The invention provides an air conditioner control method, an air conditioner control device and an air conditioner unit, and at least solves the problem that in the prior art, control is not accurate enough by adopting parameters close to an air conditioner.
In order to solve the above technical problem, according to an aspect of an embodiment of the present invention, there is provided an air conditioner control method including: acquiring the position of an air conditioner to be controlled, and determining an air conditioner close to the air conditioner to be controlled according to the position of the air conditioner to be controlled; acquiring operation parameters of the adjacent air conditioner, and determining stable operation parameters in the operation parameters; and controlling the air conditioner to be controlled according to the stable operation parameters.
Further, the acquiring the position of the air conditioner to be controlled includes: and acquiring the project ID and the module ID of the air conditioner to be controlled, and determining the position of the air conditioner to be controlled according to the project ID and the module ID.
Further, determining the adjacent air conditioner of the air conditioner to be controlled according to the position of the air conditioner to be controlled comprises the following steps: determining an air conditioner which is not more than a preset distance away from the air conditioner to be controlled as a candidate air conditioner; and screening the candidate air conditioners according to preset conditions to determine the adjacent air conditioners.
Further, screening the candidate air conditioners according to preset conditions includes: screening the candidate air conditioners according to regional conditions, and/or screening the candidate air conditioners according to performance conditions; wherein the zone condition comprises at least one of: the air conditioner to be controlled is positioned on the same street, in the same district as the air conditioner to be controlled, in the same unit as the air conditioner to be controlled and in the same building as the air conditioner to be controlled; the performance condition comprises the same performance as the air conditioner to be controlled or the performance similar to the air conditioner to be controlled.
Further, determining stable ones of the operating parameters includes: determining parameters manually set by a user in the operation parameters; wherein, the parameters manually set by the user at least comprise: temperature, wind speed, mode of operation; and screening the parameters manually set by the user to determine the stable operation parameters.
Further, screening is performed in parameters manually set by a user, and stable operation parameters are determined, including: determining parameters which are not changed within a preset time in the parameters manually set by a user; and processing data of the parameters which are not changed within the preset time to obtain stable operation parameters.
Further, the data processing of the parameter that does not change within the preset time as the stable operation parameter includes: classifying parameters which do not change within a preset time; and removing the maximum and/or minimum parameters in each type of parameters, and then calculating the average value of each type of parameters to be used as the stable operation parameters.
Further, after controlling the air conditioner to be controlled according to the stable operation parameters, the method further comprises the following steps: monitoring weather parameters at the position of an air conditioner to be controlled; and when the weather parameters change, the operation parameters of the adjacent air conditioner are obtained again, the stable operation parameters in the operation parameters are determined, and the air conditioner to be controlled is controlled according to the stable operation parameters.
According to another aspect of the embodiments of the present invention, there is provided an air conditioning control apparatus including: the acquisition module is used for acquiring the position of the air conditioner to be controlled and determining the air conditioner close to the air conditioner to be controlled according to the position of the air conditioner to be controlled; the determining module is used for acquiring the operation parameters of the adjacent air conditioner and determining the stable operation parameters in the operation parameters; and the control module is used for controlling the air conditioner to be controlled according to the stable operation parameters.
According to another aspect of the embodiment of the invention, an air conditioning unit is provided, which comprises the air conditioning control device.
According to still another aspect of an embodiment of the present invention, there is provided a storage medium containing computer-executable instructions for performing the air conditioning control method as described above when executed by a computer processor.
In the invention, a self-learning scheme of the air conditioner is provided. And determining the adjacent air conditioner of the air conditioner to be controlled according to the position of the air conditioner to be controlled, screening the operation parameters of the adjacent air conditioner, determining stable operation parameters in the operation parameters, and controlling the air conditioner to be controlled according to the stable operation parameters. The stable operation parameters are accurate operation parameters in manual setting parameters close to the air conditioner, instability in the control process can be avoided by adopting the stable operation parameters, and the accuracy of air conditioner control is higher.
Drawings
Fig. 1 is an alternative flowchart of an air conditioner control method according to an embodiment of the present invention;
fig. 2 is another alternative flowchart of an air conditioner control method according to an embodiment of the present invention; and
fig. 3 is a block diagram of an alternative configuration of an air conditioning control apparatus according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
Example 1
In preferred embodiment 1 of the present invention, an air conditioner control method is provided, where the control method may be directly applied to various air conditioning units, or may be applied to other devices having functions of an air conditioner part, and when the control method is specifically implemented, the control method may be implemented by installing software, APP, or writing a corresponding program in a controller of the air conditioner or other devices. In particular, fig. 1 shows an alternative flow chart of the method, which, as shown in fig. 1, comprises the following steps S102-S106:
s102: acquiring the position of an air conditioner to be controlled, and determining an air conditioner close to the air conditioner to be controlled according to the position of the air conditioner to be controlled;
s104: acquiring operation parameters of an adjacent air conditioner, and determining stable operation parameters in the operation parameters;
s106: and controlling the air conditioner to be controlled according to the stable operation parameters.
In the above embodiments, an air conditioner self-learning scheme is provided. And determining the adjacent air conditioner of the air conditioner to be controlled according to the position of the air conditioner to be controlled, screening the operation parameters of the adjacent air conditioner, determining stable operation parameters in the operation parameters, and controlling the air conditioner to be controlled according to the stable operation parameters. The stable operation parameters are accurate operation parameters in manual setting parameters close to the air conditioner, instability in the control process can be avoided by adopting the stable operation parameters, and the accuracy of air conditioner control is higher.
Acquiring the position of an air conditioner to be controlled, comprising: and acquiring the project ID and the module ID of the air conditioner to be controlled, and determining the position of the air conditioner to be controlled according to the project ID and the module ID. The engineering ID is the ID acquired after the multi-split air conditioning system is installed and is a symbol of the identity of one set of units, and the one set of multi-split air conditioning units has the unique engineering ID and is used for distinguishing the units. The module ID is the serial number of the GPRS module, and can be used for positioning the position of the whole set of unit, feeding back the position of the unit, feeding back the operation data of the unit, monitoring the unit and the like.
When the air conditioner to be controlled learns the parameter setting of the adjacent air conditioner, the data needs to be screened because the accuracy of the self-learning data needs to be improved. Firstly, the adjacent air conditioners of the air conditioners to be controlled are screened out. Specifically, the method for determining the adjacent air conditioner of the air conditioner to be controlled according to the position of the air conditioner to be controlled comprises the following steps: and determining the air conditioner which is not more than the preset distance away from the air conditioner to be controlled as a candidate air conditioner.
And the accuracy is low even if the distances are close, so that after the candidate air conditioners are screened out, the candidate air conditioners are screened out according to preset conditions. For example, the candidate air conditioners are screened according to the zone conditions, and/or the candidate air conditioners are screened according to the performance conditions. And screening out the adjacent air conditioners which are matched with the capacity of the air conditioner to be controlled, wherein the adjacent range has certain characteristics, such as the same street, the same cell, the same unit and the like. This step requires the engineering ID and module ID of the normal unit to specifically determine the performance of the adjacent air conditioner, such as the cooling capacity or heating capacity.
After determining the adjacent air conditioner, determining a stable operation parameter of the operation parameters of the adjacent air conditioner, including: determining parameters manually set by a user in the operation parameters; wherein, the parameters manually set by the user at least comprise: temperature, wind speed, mode of operation; and screening the parameters manually set by the user to determine stable operation parameters. The screening process comprises the following steps: determining parameters which are not changed within a preset time in the parameters manually set by a user; and processing data of the parameters which are not changed within the preset time to obtain stable operation parameters.
The above process screens the operation parameters of the adjacent air conditioner, removes the factory setting parameters and the automatically set parameters of the adjacent air conditioner, and only needs the parameters which can be manually set by a user, because the factory setting does not reflect the climate conditions and the like of all places, and the manually set parameters (temperature, wind speed, operation mode and the like) can be more suitable for people than the automatically set parameters, and better accord with the local real-time climate condition change conditions and the actual sense of the human body. Such as artificial dehumidification when weather is humid, temperature change when air temperature suddenly changes, temperature setting when sleeping at night, etc. By adopting the parameter screening mode, the accuracy of the self-learning intelligent control of the big data of the air conditioner to be controlled can be improved to a great extent.
Processing data of parameters which do not change within a preset time as stable operation parameters, including: classifying parameters which do not change within a preset time; and removing the maximum and/or minimum parameters in each type of parameters, and then calculating the average value of each type of parameters to be used as the stable operation parameters. And performing optimization screening according to the collected parameters of the adjacent air conditioners, and performing comprehensive processing on the collected parameters to obtain a group of optimal parameters and perform parameter adjustment setting on the air conditioner to be controlled, wherein the parameters are removed from large deviation and average values of multiple values are equal.
In order to further improve the accuracy of control, after controlling the air conditioner to be controlled according to the stable operation parameters, the method further comprises the following steps: monitoring weather parameters at the position of an air conditioner to be controlled; and when the weather parameters change, the operation parameters of the adjacent air conditioner are obtained again, the stable operation parameters in the operation parameters are determined, and the air conditioner to be controlled is controlled according to the stable operation parameters. When the climate change occurs in the relevant range of the air conditioner to be controlled, such as sudden change of air temperature, rainstorm and the like, the parameters of the adjacent air conditioner in the relevant range are artificially changed, and at this time, the air conditioner to be controlled can independently learn the adjustment change of the parameters of the adjacent air conditioner nearby, so that the parameter setting suitable for the real-time climate condition is fed back and adjusted.
Through the mode, the air conditioner to be controlled does not need a user to manually change the parameter setting suitable for the local real-time climate, and the air conditioner to be controlled can automatically adjust the air conditioner setting parameters in real time through autonomous learning of big data to adapt to factors such as complex weather changes.
The invention utilizes the form of big data self-learning to lead the control technology of the air conditioner to be more intelligent, when the air conditioner to be controlled can learn the parameter settings of all the adjacent air conditioners in a certain range around, the air conditioner to be controlled can self-learn and feed back the more proper parameter settings suitable for the local climate and the like, thereby leading the parameter settings of the air conditioner to be controlled to be automatically controlled and simultaneously ensuring to accord with the conditions of the local climate and the like, and the local instant climate conditions can be reflected in real time through the big data self-learning so as to change the parameter settings of the air conditioner to be controlled in real time.
Another air conditioner control method is further provided in preferred embodiment 1 of the present invention, specifically, fig. 2 shows an alternative flowchart of the method, and as shown in fig. 2, the method includes the following steps S202 to S216:
s202: confirming the position of the air conditioner to be controlled according to the project ID and the module ID, and positioning the air conditioner to be controlled;
s204: the air conditioner to be controlled searches for the adjacent air conditioners within a certain range (such as within 2 kilometers of the radius), and can search out the adjacent air conditioners with specific project ID and module ID;
s206: screening out adjacent air conditioners in a specific area (such as the same street, the same cell and the same building);
s208: screening out adjacent air conditioners matched with the capacity of the air conditioner to be controlled;
s210: screening out parameters (temperature, wind gear, mode and the like) which can be manually set by a user through a line controller from adjacent air conditioners with matched capabilities;
when the air conditioner to be controlled learns the adjacent air conditioners, firstly, the adjacent air conditioners with the capacity matched with that of the air conditioner to be controlled are screened out through the engineering ID and the module ID, only parameters (such as temperature, air volume, mode and the like) which can be manually set by a user are collected when the adjacent air conditioners in a relevant range (such as the same street, the same cell, the same unit and the like and are determined through the engineering ID) are learned through big data, and parameters which are sent out of a factory or automatically set are not collected
S212: screening out parameters which are not changed any more after a certain time (such as 30min) after the manual setting of the user according to the program setting, and ensuring the stability;
the method has the advantages that only the parameters which can be manually set by a user are collected when the energy-matched near air conditioner in a relevant learning range are learned, the parameter setting of the air conditioner to be controlled can better accord with the weather condition of the user, the parameters are not influenced by factory setting or automatic setting, the parameters which are manually set by the user can better reflect the local weather condition, the subjective somatosensory comfort level of people is reflected to a great extent, the parameters which are not changed within a certain time after the parameter setting are screened out for the second time, the instability of parameter changing just begins is eliminated, and the parameter setting of the air conditioner to be controlled can better accord with the comfort level of local people and accord with the characteristic of big data self-learning.
S214: according to the parameters obtained by screening for several times, self-learning optimization, elimination and the like, and comprehensively feeding back the self-learning result; in the process, optimizing screening is carried out, and if parameters which have larger differences with other target air conditioner parameters to be controlled are eliminated, the eliminated parameters are subjected to average optimizing.
S216: and adjusting the parameter setting according to the self-learning result.
In the process, when the air conditioner to be controlled learns the adjacent air conditioner, firstly, the adjacent air conditioner with the capacity matched with the air conditioner to be controlled is screened out through the engineering ID and the module ID, only the parameters (such as temperature, air volume, mode and the like) which can be manually set by a user are collected when the adjacent air conditioner in a relevant range (such as the same street, the same cell, the same unit and the like and are determined through the engineering ID) is learned through big data, the parameters which leave a factory or are automatically set are not collected, in addition, the collected parameters which can be manually set by the user are secondarily screened out, the parameters which are not changed within a certain time after the parameter setting are screened out, and the parameter setting of the air conditioner to be controlled is removed, so that the accuracy of the data is improved, and finally, the parameter setting of the air conditioner to be controlled is autonomously fed back and adjusted through the. In the process, optimization screening should be performed, for example, parameters with a larger difference from other adjacent air conditioner parameters are excluded, and the excluded parameters are subjected to average optimization.
Through the mode, the air conditioner to be controlled does not need a user to manually change the parameter setting suitable for the local real-time climate, and the air conditioner to be controlled can automatically adjust the air conditioner setting parameters in real time through autonomous learning of big data to adapt to factors such as complex weather changes.
Example 2
Based on the air conditioner control method provided in the foregoing embodiment 1, in a preferred embodiment 2 of the present invention, an air conditioner control device is further provided, and specifically, fig. 3 shows an alternative structural block diagram of the device, and as shown in fig. 3, the device includes:
the obtaining module 302 is configured to obtain a position of an air conditioner to be controlled, and determine an air conditioner close to the air conditioner to be controlled according to the position;
the determining module 304 is configured to obtain operation parameters of an adjacent air conditioner, and determine stable operation parameters in the operation parameters;
and the control module 306 is used for controlling the air conditioner to be controlled according to the stable operation parameters.
In the above embodiments, an air conditioner self-learning scheme is provided. And determining the adjacent air conditioner of the air conditioner to be controlled according to the position of the air conditioner to be controlled, screening the operation parameters of the adjacent air conditioner, determining stable operation parameters in the operation parameters, and controlling the air conditioner to be controlled according to the stable operation parameters. The stable operation parameters are accurate operation parameters in manual setting parameters close to the air conditioner, instability in the control process can be avoided by adopting the stable operation parameters, and the accuracy of air conditioner control is higher.
The obtaining module 302 includes: and the position sub-module is used for acquiring the project ID and the module ID of the air conditioner to be controlled and determining the position of the air conditioner to be controlled according to the project ID and the module ID. A proximity air conditioner determination sub-module comprising: the candidate air conditioner determining unit is used for determining an air conditioner which is not more than a preset distance away from the position of the air conditioner to be controlled as a candidate air conditioner; and the adjacent air conditioner determining unit is used for screening the candidate air conditioners according to preset conditions and determining the adjacent air conditioners.
The proximity air conditioner determining unit includes: screening the candidate air conditioners according to regional conditions, and/or screening the candidate air conditioners according to performance conditions; wherein the zone condition comprises at least one of: the air conditioner to be controlled is positioned on the same street, in the same district as the air conditioner to be controlled, in the same unit as the air conditioner to be controlled and in the same building as the air conditioner to be controlled; the performance condition comprises the same performance as the air conditioner to be controlled or the performance similar to the air conditioner to be controlled.
The determination module 304 includes: the first determining submodule is used for determining the parameters manually set by the user in the operation parameters; wherein, the parameters manually set by the user at least comprise: temperature, wind speed, mode of operation; and the second determining submodule is used for screening the parameters manually set by the user and determining the stable operation parameters.
The second determination submodule includes: the device comprises a determining unit, a judging unit and a judging unit, wherein the determining unit is used for determining the parameters which are not changed within the preset time in the parameters manually set by a user; and the processing unit is used for carrying out data processing on the parameters which are not changed within the preset time as stable operation parameters.
The processing unit includes: the classification subunit is used for classifying the parameters which are not changed within the preset time; and the calculating subunit is used for removing the maximum and/or minimum parameters in each type of parameters, and then calculating the average value of each type of parameters to serve as the stable operation parameters.
In addition, the method further comprises the following steps: the monitoring module is used for monitoring weather parameters at the position of the air conditioner to be controlled after the air conditioner to be controlled is controlled according to the stable operation parameters; and the correction module is used for reacquiring the operation parameters of the adjacent air conditioner when the weather parameters change, determining stable operation parameters in the operation parameters, and controlling the air conditioner to be controlled according to the stable operation parameters.
With regard to the apparatus in the above embodiments, the specific manner in which each unit and each module performs operations has been described in detail in the embodiments related to the method, and will not be described in detail herein.
Example 3
Based on the air conditioning control device provided in the above embodiment 2, in a preferred embodiment 3 of the present invention, there is also provided an air conditioning unit including the air conditioning control device as described above.
In the above embodiments, an air conditioner self-learning scheme is provided. And determining the adjacent air conditioner of the air conditioner to be controlled according to the position of the air conditioner to be controlled, screening the operation parameters of the adjacent air conditioner, determining stable operation parameters in the operation parameters, and controlling the air conditioner to be controlled according to the stable operation parameters. The stable operation parameters are accurate operation parameters in manual setting parameters close to the air conditioner, instability in the control process can be avoided by adopting the stable operation parameters, and the accuracy of air conditioner control is higher.
Example 4
Based on the air-conditioning control method provided in embodiment 1 above, there is also provided in preferred embodiment 4 of the present invention a storage medium containing computer-executable instructions for performing the air-conditioning control method as described above when executed by a computer processor.
In the above embodiments, an air conditioner self-learning scheme is provided. And determining the adjacent air conditioner of the air conditioner to be controlled according to the position of the air conditioner to be controlled, screening the operation parameters of the adjacent air conditioner, determining stable operation parameters in the operation parameters, and controlling the air conditioner to be controlled according to the stable operation parameters. The stable operation parameters are accurate operation parameters in manual setting parameters close to the air conditioner, instability in the control process can be avoided by adopting the stable operation parameters, and the accuracy of air conditioner control is higher.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (11)
1. An air conditioner control method, comprising:
acquiring the position of an air conditioner to be controlled, and determining an air conditioner close to the air conditioner to be controlled according to the position of the air conditioner to be controlled;
acquiring operation parameters of the adjacent air conditioner, and determining stable operation parameters in the operation parameters;
and controlling the air conditioner to be controlled according to the stable operation parameters.
2. The method according to claim 1, wherein the obtaining the position of the air conditioner to be controlled comprises: and acquiring the project ID and the module ID of the air conditioner to be controlled, and determining the position of the air conditioner to be controlled according to the project ID and the module ID.
3. The method of claim 1, wherein determining the neighboring air conditioners of the air conditioner to be controlled according to the position of the air conditioner to be controlled comprises:
determining an air conditioner which is not more than a preset distance away from the air conditioner to be controlled as a candidate air conditioner;
and screening the candidate air conditioners according to preset conditions to determine the adjacent air conditioners.
4. The method of claim 3, wherein the screening of the candidate air conditioners according to preset conditions comprises:
screening the candidate air conditioners according to regional conditions, and/or screening the candidate air conditioners according to performance conditions;
wherein the zone condition comprises at least one of: the air conditioner to be controlled is positioned on the same street, in the same district as the air conditioner to be controlled, in the same unit as the air conditioner to be controlled and in the same building as the air conditioner to be controlled; the performance condition comprises the same performance as the air conditioner to be controlled or the performance similar to the air conditioner to be controlled.
5. The method of claim 1, wherein determining stable ones of the operating parameters comprises:
determining parameters manually set by a user in the operation parameters; wherein, the parameters manually set by the user at least comprise: temperature, wind speed, mode of operation;
and screening the parameters manually set by the user to determine the stable operation parameters.
6. The method of claim 5, wherein the determining the stable operation parameters by filtering among the parameters manually set by the user comprises:
determining parameters which are not changed within a preset time in the parameters manually set by the user;
and carrying out data processing on the parameters which are not changed within the preset time to serve as the stable operation parameters.
7. The method according to claim 6, wherein the data processing of the parameter that has not changed within the preset time as the stable operation parameter comprises:
classifying the parameters which are not changed within the preset time;
and removing the maximum and/or minimum parameters in each type of parameters, and then calculating the average value of each type of parameters to be used as the stable operation parameters.
8. The method according to claim 1, after controlling the air conditioner to be controlled according to the stable operation parameter, further comprising:
monitoring weather parameters at the position of the air conditioner to be controlled;
and when the weather parameters change, the running parameters of the adjacent air conditioner are obtained again, stable running parameters in the running parameters are determined, and the air conditioner to be controlled is controlled according to the stable running parameters.
9. An air conditioning control device, characterized by comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring the position of an air conditioner to be controlled and determining an air conditioner close to the air conditioner to be controlled according to the position of the air conditioner to be controlled;
the determining module is used for acquiring the operation parameters of the adjacent air conditioner and determining stable operation parameters in the operation parameters;
and the control module is used for controlling the air conditioner to be controlled according to the stable operation parameters.
10. An air conditioning assembly characterized by comprising the air conditioning control device according to claim 9.
11. A storage medium containing computer-executable instructions for performing the air conditioning control method of any one of claims 1 to 8 when executed by a computer processor.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113790519A (en) * | 2021-09-13 | 2021-12-14 | 珠海格力电器股份有限公司 | Air conditioner with self-adaptive air guide function and control method thereof |
| CN114704931A (en) * | 2022-03-28 | 2022-07-05 | 青岛海尔空调器有限总公司 | Control method and device of multi-linkage air conditioner |
| CN115900002A (en) * | 2022-11-14 | 2023-04-04 | 宁波奥克斯电气股份有限公司 | Air conditioner control method and device and air conditioner |
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