CN111306720B - Method and device for setting air conditioner parameters - Google Patents
Method and device for setting air conditioner parameters Download PDFInfo
- Publication number
- CN111306720B CN111306720B CN201811518584.6A CN201811518584A CN111306720B CN 111306720 B CN111306720 B CN 111306720B CN 201811518584 A CN201811518584 A CN 201811518584A CN 111306720 B CN111306720 B CN 111306720B
- Authority
- CN
- China
- Prior art keywords
- data
- environmental condition
- condition data
- air conditioner
- historical
- 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.)
- Active
Links
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
- F24F11/64—Electronic processing using pre-stored data
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
- B60H1/00—Heating, cooling or ventilating [HVAC] devices
- B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
- B60H1/00814—Control systems or circuits characterised by their output, for controlling particular components of the heating, cooling or ventilating installation
-
- 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
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
Abstract
The application discloses a method and a device for setting air conditioner parameters, wherein the method comprises the following steps: acquiring current environmental condition data comprising m environmental influence factor data; determining the minimum distance in the distances between the current environmental condition data and each historical environmental condition data as a target distance according to the current environmental condition data and each historical environmental condition data; if the target distance is smaller than a preset threshold value, acquiring historical air conditioner parameter setting data under historical environmental condition data corresponding to the target distance; finishing air conditioner parameter setting according to historical air conditioner parameter setting data, wherein the preset threshold is based on the number m of environmental influence factors and a positive number k greater than 10And adjusting the obtained initialization threshold value by adopting a threshold adjustment algorithm. Therefore, the mode adopts automatic setting, is simple and convenient, saves labor and energy, obtains historical air conditioner parameter setting data corresponding to users, can meet personalized requirements of different users, and improves the using feeling and experience feeling of the air conditioner of the users.
Description
Technical Field
The application relates to the technical field of automatic control of air conditioners, in particular to a method and a device for setting air conditioner parameters.
Background
Currently, most places such as bedrooms, restaurants, vehicles, etc. are equipped with air conditioners in order to adjust the temperature, humidity, etc. of the place to provide a comfortable environment for the user. In the prior art, the air conditioner needs to complete the setting of air conditioner parameter setting data such as air outlet temperature, air outlet mode, air outlet volume, internal and external circulation air inlet state, refrigeration switch state and the like of the air conditioner through manual setting operation of a user or by adopting an automatic air conditioning algorithm until the air outlet of the air conditioner enables the user to be in a comfortable feeling state.
The inventor finds that the manual setting operation is complicated and consumes labor and energy through research; although the automatic air conditioning algorithm is simple, convenient and labor-saving, the automatic air conditioning algorithm is influenced by the difference of human physique, the human body experience temperatures of different users are different, the requirements for air outlet of the air conditioner are not consistent under the same environmental conditions, the automatic air conditioning algorithm is a fixed air conditioning parameter setting algorithm and has certain limitation, namely, under the same environmental conditions, the air conditioning parameter setting data obtained by the algorithm are completely consistent, the individualized requirements of different users cannot be met, and the use feeling and the experience feeling of the air conditioner of the user are poor.
Disclosure of Invention
The technical problem to be solved by the application is to provide a method and a device for setting air conditioner parameters, which are simple, convenient and labor-saving by adopting automatic setting, obtain historical air conditioner parameter setting data corresponding to users, can meet personalized requirements of different users, and improve the using feeling and experience feeling of the air conditioner of the users.
In a first aspect, an embodiment of the present application provides a method for setting air conditioner parameters, where the method includes:
acquiring current environmental condition data, wherein the environmental condition data comprise m pieces of environmental influence factor data;
determining a target distance according to the current environmental condition data and each historical environmental condition data, wherein the target distance is the minimum distance in the distances between the current environmental condition data and each historical environmental condition data;
if the target distance is smaller than the preset threshold value, obtaining historical air conditioner parameter setting data under historical environmental condition data corresponding to the target distance;
finishing air conditioner parameter setting according to the historical air conditioner parameter setting data, wherein the preset threshold is obtained by adopting a threshold adjustment algorithm for adjustment based on an initialization threshold, and the initialization threshold is obtained according to the m and the k0Obtained of the k0A positive number greater than 1.
Optionally, the environmental condition data includes climate data and vehicle data; the climate data comprises temperature data outside the vehicle, temperature data inside the vehicle, humidity data inside the vehicle, sunlight intensity data, weather type data, wind power data and air quality data; the vehicle data comprises vehicle speed data, power energy state data, window opening state data, door opening state data, skylight opening state data and engine starting state data.
Optionally, the determining a target distance according to the current environmental condition data and each historical environmental condition data includes:
obtaining the distance between the current environmental condition data and each historical environmental condition data by adopting a distance formula according to the current environmental condition data and each historical environmental condition data;
and determining the minimum distance in the distances between the current environmental condition data and the historical environmental condition data as the target distance.
Optionally, the distance formula comprises a euclidean distance formula.
Optionally, the method further includes:
monitoring whether a user changes air conditioner parameter setting data within preset time to obtain a monitoring result;
and adjusting the preset threshold value by adopting a threshold adjustment algorithm according to the monitoring result.
Optionally, the monitoring result is that the user changes the air conditioner parameter setting data within a preset time or the user does not change the air conditioner parameter setting data within the preset time.
Optionally, if the monitoring result is that the user changes the air conditioner parameter setting data within a preset time, the threshold adjustment algorithm is adopted to adjust the preset threshold according to the monitoring result, specifically:
reducing the preset threshold value by adopting a threshold adjustment algorithm; or the like, or, alternatively,
if the monitoring result is that the user does not change the air conditioner parameter setting data within the preset time, adjusting the preset threshold value by adopting a threshold adjustment algorithm according to the monitoring result, specifically:
and increasing the preset threshold value by adopting a threshold adjustment algorithm.
Optionally, if the monitoring result is that the user changes the air conditioner parameter setting data within the preset time, the method further includes:
and correspondingly storing the current environmental condition data and the changed air conditioner parameter setting data.
Optionally, the method further includes:
if the target distance is larger than the preset threshold value, obtaining current air conditioner setting parameters through a traditional automatic air conditioner algorithm;
and finishing air conditioner parameter setting according to the current air conditioner setting parameters, and correspondingly storing the current environmental condition data and the current air conditioner setting parameters.
In a second aspect, an embodiment of the present application provides an apparatus for setting air conditioning parameters, the apparatus including:
an obtaining unit, configured to obtain current environmental condition data, where the environmental condition data includes m pieces of environmental influence factor data;
a determining unit, configured to determine a target distance according to the current environmental condition data and each historical environmental condition data, where the target distance is a minimum distance in distances between the current environmental condition data and each historical environmental condition data;
the first obtaining unit is used for obtaining historical air conditioner parameter setting data under historical environmental condition data corresponding to the target distance if the target distance is smaller than the preset threshold;
a first setting unit, configured to complete air conditioning parameter setting according to the historical air conditioning parameter setting data, where the preset threshold is obtained by using a threshold adjustment algorithm to adjust based on an initialization threshold, and the initialization threshold is obtained according to the m and k0Obtained of the k0A positive number greater than 1.
Compared with the prior art, the method has the advantages that:
by adopting the technical scheme of the embodiment of the application, firstly, current environmental condition data comprising m environmental influence factor data are obtained; then, according to the current environmental condition data and each historical environmental condition data, determining that the minimum distance in the distances between the current environmental condition data and each historical environmental condition data is a target distance; secondly, if the target distance is smaller than the preset threshold value, obtaining the historical environmental condition corresponding to the target distanceHistorical air conditioner parameter setting data under the data; finally, finishing air conditioner parameter setting according to the historical air conditioner parameter setting data, wherein the preset threshold is based on the number m of environmental influence factors and a positive number k greater than 10And adjusting the obtained initialization threshold value by adopting a threshold adjustment algorithm. Therefore, historical air conditioner parameter setting data of a user under different historical environmental condition data are stored in advance, the historical air conditioner parameter setting data under the historical environmental condition data which is closest to the current environmental condition data are found according to the distance between the current environmental condition data and the different historical environmental condition data, and the setting of air conditioner parameters is completed. The mode adopts automatic setting, is simple and convenient, saves labor and energy, obtains historical air conditioner parameter setting data corresponding to users, can meet individual requirements of different users, and improves the using feeling and experience feeling of the air conditioner of the users.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments of the present application will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of a system framework related to an application scenario in an embodiment of the present application;
fig. 2 is a schematic flowchart of a method for setting air conditioning parameters according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an apparatus for setting air conditioning parameters according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The inventor finds that in the prior art, generally, the user sets the air conditioner parameter setting data such as the air outlet temperature, the air outlet mode, the air outlet volume, the internal and external circulation air inlet state, the refrigeration switch state and the like of the air conditioner manually or by adopting an automatic air conditioning algorithm until the air outlet of the air conditioner enables the user to be in a comfortable feeling state. The manual setting operation is complicated and labor-consuming; although the automatic air conditioning algorithm is simple, convenient and labor-saving, the automatic air conditioning algorithm is influenced by differences of human constitutions, human body experience temperatures of different users are different, requirements for air conditioner air outlet under the same environmental conditions are not consistent, the automatic air conditioning algorithm is a fixed air conditioning parameter setting algorithm, the same air conditioning parameter setting data obtained by outputting the same air conditioning parameter setting data based on the same environmental conditions input by different users cannot meet personalized requirements of different users, and accordingly the air conditioner of the user is poor in use feeling and experience feeling.
In order to solve this problem, in the embodiment of the present application, first, current environmental condition data including m pieces of environmental influence factor data is acquired; then, according to the current environmental condition data and each historical environmental condition data, determining that the minimum distance in the distances between the current environmental condition data and each historical environmental condition data is a target distance; secondly, if the target distance is smaller than the preset threshold value, historical air conditioner parameter setting data corresponding to the target distance under the historical environmental condition data are obtained; finally, finishing air conditioner parameter setting according to the historical air conditioner parameter setting data, wherein the preset threshold is based on the number m of environmental influence factors and a positive number k greater than 10And adjusting the obtained initialization threshold value by adopting a threshold adjustment algorithm. Therefore, historical air conditioner parameter setting data of a user under different historical environmental condition data are stored in advance, the historical air conditioner parameter setting data under the historical environmental condition data which is closest to the current environmental condition data are found according to the distance between the current environmental condition data and the different historical environmental condition data, and air conditioner setting is finishedThe setting of parameter, this mode adopt automatic setting not only simply convenient, use manpower sparingly vigor, obtain moreover to be corresponding user's historical air conditioner parameter setting data, can satisfy different users ' individualized demand, promote user's air conditioner use and feel, experience and feel.
For example, one of the scenarios in the embodiment of the present application may be applied to the scenario shown in fig. 1, where the scenario includes a server 101, an air conditioner controller 102, and an in-vehicle air conditioner 103, where the server 101 interacts with the air conditioner controller 102, and the air conditioner controller 102 interacts with the in-vehicle air conditioner 103. The server 101 acquires current environmental condition data through the air conditioner controller 102, wherein the environmental condition data comprises m pieces of environmental influence factor data; the server 101 determines, according to the current environmental condition data and each historical environmental condition data, a minimum distance of distances between the current environmental condition data and each historical environmental condition data as a target distance; if the target distance is smaller than the preset threshold value, the server 101 obtains historical air conditioner parameter setting data corresponding to the target distance under the historical environmental condition data; the server 101 completes the air conditioning parameter setting of the vehicle-mounted air conditioner 103 through the air conditioning controller 102 according to the historical air conditioning parameter setting data, the preset threshold is obtained by adopting a threshold adjustment algorithm based on an initialization threshold, and the initialization threshold is obtained according to the m and the k0Obtained of the k0A positive number greater than 1.
It is to be understood that, in the above application scenario, although the actions of the embodiment of the present application are described as being performed by the server 101, the present application is not limited in terms of the execution subject as long as the actions disclosed in the embodiment of the present application are performed.
It is to be understood that the above scenario is only one example of a scenario provided in the embodiment of the present application, and the embodiment of the present application is not limited to this scenario.
The following describes in detail a specific implementation manner of the method and the apparatus for setting air conditioning parameters in the embodiments of the present application by using embodiments with reference to the accompanying drawings.
Exemplary method
Referring to fig. 2, a flowchart of a method for setting air conditioning parameters in an embodiment of the present application is shown. In this embodiment, the method may include, for example, the steps of:
step 201: acquiring current environmental condition data, wherein the environmental condition data comprise m pieces of environmental influence factor data.
It can be understood that the big premise for completing the setting of the air conditioner parameters is that the current environmental condition data should be acquired; the environmental condition data refers to data related to the inside and outside environment of the vehicle and the vehicle, which may affect the air conditioner setting parameters, namely, two major types of data, namely climate data and vehicle data. For example, the environmental condition data includes climate data such as outside temperature data, inside humidity data, sunlight intensity data, weather type data, wind data, and air quality data; the system also comprises vehicle speed data, vehicle data such as data for maintaining the state of air-out power energy of the air conditioner, data for opening the vehicle window, data for opening the vehicle door, data for opening the skylight, data for starting the engine and the like.
Step 202: and determining a target distance according to the current environmental condition data and each historical environmental condition data, wherein the target distance is the minimum distance in the distances between the current environmental condition data and each historical environmental condition data.
It should be noted that, the historical environmental condition data and the historical air-conditioning parameter setting data corresponding to the historical environmental condition data are pre-stored in the database of the server, and after the current environmental condition data is obtained in step 201, the historical environmental condition data that is the closest to the current environmental condition data and has the smallest difference from the historical environmental condition data needs to be found, for example, the distance between the two pieces of environmental condition data is calculated to find the historical environmental condition data. Specifically, the distances of the current environmental condition data from the respective pieces of stored historical environmental condition data should be calculated first, and then the minimum distance thereof should be taken as the target distance for the subsequent analysis processing. Thus, in some implementations of this embodiment, the step 202 may include, for example, the steps of:
step A: obtaining the distance between the current environmental condition data and each historical environmental condition data by adopting a distance formula according to the current environmental condition data and each historical environmental condition data;
and B: and determining the minimum distance in the distances between the current environmental condition data and the historical environmental condition data as the target distance.
The current environmental condition data and the historical environmental condition data both include m pieces of environmental influence factor data, and can be regarded as two m-dimensional vectors. The distance between the two m-dimensional vectors may be calculated using a euclidean distance formula, and thus, in some implementations of this embodiment, the distance formula includes the euclidean distance formula. Of course, other distance calculation methods are also possible, and the present embodiment is not limited at all.
Step 203: and if the target distance is smaller than the preset threshold value, obtaining historical air conditioner parameter setting data under the historical environmental condition data corresponding to the target distance.
It can be understood that, because the memory of the database of the server is limited, the historical environmental condition data stored in advance and the corresponding historical air-conditioning parameter setting data are also limited, and even if the historical environmental condition data with the minimum difference with the current environmental condition data are completely similar to the current environmental condition data or not, it is unclear whether the historical environmental condition data are suitable for replacing the current environmental condition data, so that a preset threshold value is introduced for judging whether the historical environmental condition data with the minimum difference with the current environmental condition data are suitable for replacing the current environmental condition data. Specifically, if the target distance is smaller than the preset threshold, the difference between the historical environmental condition data corresponding to the target distance and the current environmental condition data is small, and the historical air-conditioning parameter setting data under the historical environmental condition data corresponding to the target distance needs to be obtained at this time.
Step 204: finishing air conditioner parameter setting according to the historical air conditioner parameter setting data, wherein the preset threshold is obtained by adopting a threshold adjustment algorithm for adjustment based on an initialization threshold, and the initialization threshold is obtained according to the m and the k0Obtained of the k0Is greater than 1Positive number of (c).
It should be noted that although the setting of the air conditioning parameter is completed in step 204, there is a certain difference between the historical environmental condition data and the current environmental condition data, and it cannot be determined whether the current air conditioning parameter setting data is the most comfortable air conditioning parameter setting data for the user, so that the user feedback needs to be obtained. Therefore, in some embodiments of this embodiment, after step 204, for example, the method may further include:
and C: monitoring whether a user changes air conditioner parameter setting data within preset time to obtain a monitoring result;
step D: and adjusting the preset threshold value by adopting a threshold adjustment algorithm according to the monitoring result.
It can be understood that the preset threshold in step 204 is obtained by adjusting with a threshold adjustment algorithm based on the monitoring result according to whether the user changes the air conditioning parameter setting data within the preset monitoring time after the previous air conditioning parameter setting is completed.
It should be noted that, in the preset time, the user does not change the air conditioner setting parameter, or does not change the air conditioner setting parameter. Therefore, in some embodiments of this embodiment, the monitoring result is that the user changes the air conditioning parameter setting data within a preset time or the user does not change the air conditioning parameter setting data within the preset time.
It should be noted that, if the user changes the air conditioner parameter setting data within the preset time, which indicates that the air conditioner parameter setting completed in step 204 is not particularly suitable, the preset threshold is not very accurate, and adaptive adjustment needs to be performed, specifically, the preset threshold is reduced. If the user does not change the air conditioner parameter setting data within the preset time, it indicates that the air conditioner parameter setting completed in step 204 is appropriate, at this time, the preset threshold value may also be adaptively adjusted, specifically, the preset threshold value is increased; of course, the preset threshold value may not be adjusted. Therefore, in some embodiments of this embodiment, if the monitoring result is that the user changes the air conditioner parameter setting data within the preset time, the step D may specifically be: reducing the preset threshold value by adopting a threshold adjustment algorithm; or, if the monitoring result is that the user does not change the air conditioner parameter setting data within the preset time, the step D may specifically be, for example: and increasing the preset threshold value by adopting a threshold adjustment algorithm.
For example, assume initialization thresholds of m and k0Ratio of (a) to (b), said k0If the user changes the air conditioner parameter setting data within the preset time, adjusting the preset threshold thre to be the ratio of thre to n, wherein n is a positive number greater than 1, for example, n is 1.5; if the user does not change the air-conditioning parameter setting data within the preset time, the preset threshold value thre is adjusted to thre and m and k1Sum of the ratios, k1Is a positive number greater than 1, in particular if k1Approaching infinity is equivalent to no adjustment to the preset threshold.
It should be noted that, if the user changes the air conditioning parameter setting data within the preset time, the changed air conditioning parameter setting data and the current environmental condition data need to be stored correspondingly, so that when the current environmental condition data is related, the air conditioning parameter can be set directly according to the changed air conditioning parameter setting data. Therefore, in some embodiments of this embodiment, if the monitoring result is that the user changes the air conditioner parameter setting data within the preset time, the method further includes:
step E: and correspondingly storing the current environmental condition data and the changed air conditioner parameter setting data.
It should be noted that, if the target distance is greater than the preset threshold, it indicates that even the historical environmental condition data with the smallest difference from the current environmental condition data is not suitable for replacing the current environmental condition data, that is, the stored historical environmental condition data has a large difference from the current environmental condition data and is not suitable for replacing the current environmental condition data, so the historical air conditioner parameter setting data corresponding to the historical environmental condition data cannot be used. At this time, firstly, the air conditioner setting parameters are obtained by using a traditional automatic air conditioning algorithm and are used as the current air conditioner setting parameters corresponding to the current environmental condition data, and then the air conditioner parameter setting is completed and stored by using the current air conditioner setting parameters. Therefore, in some embodiments of this embodiment, the method further comprises:
step F: if the target distance is larger than the preset threshold value, obtaining current air conditioner setting parameters through a traditional automatic air conditioner algorithm;
step G: and finishing air conditioner parameter setting according to the current air conditioner setting parameters, and correspondingly storing the current environmental condition data and the current air conditioner setting parameters.
Through various implementation manners provided by the embodiment, firstly, current environmental condition data including m pieces of environmental influence factor data are acquired; then, according to the current environmental condition data and each historical environmental condition data, determining that the minimum distance in the distances between the current environmental condition data and each historical environmental condition data is a target distance; secondly, if the target distance is smaller than the preset threshold value, historical air conditioner parameter setting data corresponding to the target distance under the historical environmental condition data are obtained; finally, finishing air conditioner parameter setting according to the historical air conditioner parameter setting data, wherein the preset threshold is based on the number m of environmental influence factors and a positive number k greater than 10And adjusting the obtained initialization threshold value by adopting a threshold adjustment algorithm. Therefore, historical air conditioner parameter setting data of a user under different historical environment condition data are stored in advance, historical air conditioner parameter setting data under the historical environment condition data which are closest to the current environment condition data are found through the distance between the current environment condition data and the different historical environment condition data, and air conditioner parameters are set.
Exemplary device
Referring to fig. 3, a schematic structural diagram of an apparatus for setting air conditioning parameters in an embodiment of the present application is shown. In this embodiment, the apparatus may specifically include:
an obtaining unit 301, configured to obtain current environmental condition data, where the environmental condition data includes m pieces of environmental influence factor data;
a determining unit 302, configured to determine a target distance according to the current environmental condition data and each historical environmental condition data, where the target distance is a minimum distance in distances between the current environmental condition data and each historical environmental condition data;
a first obtaining unit 303, configured to obtain historical air conditioner parameter setting data under historical environmental condition data corresponding to the target distance if the target distance is smaller than the preset threshold;
a first setting unit 304, configured to complete air conditioning parameter setting according to the historical air conditioning parameter setting data, where the preset threshold is obtained by using a threshold adjustment algorithm to adjust based on an initialization threshold, and the initialization threshold is obtained according to the m and k0Obtained of the k0A positive number greater than 1.
Optionally, the environmental condition data includes climate data and vehicle data; the climate data comprises temperature data outside the vehicle, temperature data inside the vehicle, humidity data inside the vehicle, sunlight intensity data, weather type data, wind power data and air quality data; the vehicle data comprises vehicle speed data, power energy state data, window opening state data, door opening state data, skylight opening state data and engine starting state data.
Optionally, the determining unit 302 includes:
a first obtaining subunit, configured to obtain, according to the current environmental condition data and each piece of historical environmental condition data, a distance between the current environmental condition data and each piece of historical environmental condition data by using a distance formula;
a first determining subunit, configured to determine that a minimum distance of distances between the current environmental condition data and the respective historical environmental condition data is the target distance.
Optionally, the distance formula comprises a euclidean distance formula.
Optionally, the apparatus further comprises:
the monitoring obtaining unit is used for obtaining a monitoring result by monitoring whether the user changes the air conditioner parameter setting data within the preset time;
and the adjusting unit is used for adjusting the preset threshold value by adopting a threshold adjusting algorithm according to the monitoring result.
Optionally, the monitoring result is that the user changes the air conditioner parameter setting data within a preset time or the user does not change the air conditioner parameter setting data within the preset time.
Optionally, if the monitoring result is that the user changes the air conditioner parameter setting data within the preset time, the adjusting unit is specifically configured to:
reducing the preset threshold value by adopting a threshold adjustment algorithm; or the like, or, alternatively,
if the monitoring result is that the user does not change the air conditioner parameter setting data within the preset time, the adjusting unit is specifically configured to:
and increasing the preset threshold value by adopting a threshold adjustment algorithm.
Optionally, if the monitoring result is that the user changes the air conditioner parameter setting data within the preset time, the method further includes:
and the storage unit is used for correspondingly storing the current environmental condition data and the changed air conditioner parameter setting data.
Optionally, the method further includes:
the second obtaining unit is used for obtaining the current air conditioner setting parameters through a traditional automatic air conditioner algorithm if the target distance is larger than the preset threshold value;
and the second setting unit is used for finishing air conditioner parameter setting according to the current air conditioner setting parameter and correspondingly storing the current environmental condition data and the current air conditioner setting parameter.
Through various implementation manners provided by the embodiment, the obtaining unit is configured to obtain current environmental condition data including m pieces of environmental impact factor data; the determining unit determines a target distance according to the current environmental condition data and each historical environmental condition data, wherein the target distance is the minimum distance in the distances between the current environmental condition data and each historical environmental condition data; if the target distance is smaller than the preset threshold value, a first obtaining unit obtains historical air conditioner parameter setting data under historical environmental condition data corresponding to the target distance; the first setting unit completes air conditioner parameter setting according to the historical air conditioner parameter setting data, the preset threshold is obtained by adopting a threshold adjustment algorithm based on an initialization threshold, and the initialization threshold is obtained according to the m and the k0Obtained of the k0A positive number greater than 1. Therefore, historical air conditioner parameter setting data of a user under different historical environment condition data are stored in advance, historical air conditioner parameter setting data under the historical environment condition data which are closest to the current environment condition data are found through the distance between the current environment condition data and the different historical environment condition data, and air conditioner parameters are set.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing is merely a preferred embodiment of the present application and is not intended to limit the present application in any way. Although the present application has been described with reference to the preferred embodiments, it is not intended to limit the present application. Those skilled in the art can now make numerous possible variations and modifications to the disclosed embodiments, or modify equivalent embodiments, using the methods and techniques disclosed above, without departing from the scope of the claimed embodiments. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present application still fall within the protection scope of the technical solution of the present application without departing from the content of the technical solution of the present application.
Claims (10)
1. A method for setting air conditioner parameters is characterized by comprising the following steps:
acquiring current environmental condition data, wherein the environmental condition data comprise m pieces of environmental influence factor data;
determining a target distance according to the current environmental condition data and each historical environmental condition data, wherein the target distance is the minimum distance in the distances between the current environmental condition data and each historical environmental condition data;
if the target distance is smaller than a preset threshold value, obtaining historical air conditioner parameter setting data under historical environmental condition data corresponding to the target distance;
finishing air conditioner parameter setting according to the historical air conditioner parameter setting data, wherein the preset threshold is obtained by adopting a threshold adjustment algorithm for adjustment based on an initialization threshold, and the initialization threshold is obtained according to the m and the k0Obtained of the k0A positive number greater than 1.
2. The method of claim 1, wherein the environmental condition data includes climate data and vehicle data; the climate data comprises temperature data outside the vehicle, temperature data inside the vehicle, humidity data inside the vehicle, sunlight intensity data, weather type data, wind power data and air quality data; the vehicle data comprises vehicle speed data, power energy state data, window opening state data, door opening state data, skylight opening state data and engine starting state data.
3. The method of claim 1, wherein determining a target distance based on the current environmental condition data and respective historical environmental condition data comprises:
obtaining the distance between the current environmental condition data and each historical environmental condition data by adopting a distance formula according to the current environmental condition data and each historical environmental condition data;
and determining the minimum distance in the distances between the current environmental condition data and the historical environmental condition data as the target distance.
4. The method of claim 3, wherein the distance formula comprises a Euclidean distance formula.
5. The method of claim 1, further comprising:
monitoring whether a user changes air conditioner parameter setting data within preset time to obtain a monitoring result;
and adjusting the preset threshold value by adopting a threshold adjustment algorithm according to the monitoring result.
6. The method of claim 5, wherein the monitoring result is that the user has changed the air conditioning parameter setting data within a preset time or the user has not changed the air conditioning parameter setting data within the preset time.
7. The method according to claim 6, wherein if the monitoring result is that the user changes the air conditioner parameter setting data within a preset time, the adjusting the preset threshold value by using a threshold adjustment algorithm according to the monitoring result specifically comprises:
reducing the preset threshold value by adopting a threshold adjustment algorithm; or the like, or, alternatively,
if the monitoring result is that the user does not change the air conditioner parameter setting data within the preset time, adjusting the preset threshold value by adopting a threshold adjustment algorithm according to the monitoring result, specifically:
and increasing the preset threshold value by adopting a threshold adjustment algorithm.
8. The method of claim 6, wherein if the monitoring result indicates that the user changes the air conditioning parameter setting data within a preset time, further comprising:
and correspondingly storing the current environmental condition data and the changed air conditioner parameter setting data.
9. The method of claim 1, further comprising:
if the target distance is larger than the preset threshold value, obtaining current air conditioner setting parameters through a traditional automatic air conditioner algorithm;
and finishing air conditioner parameter setting according to the current air conditioner setting parameters, and correspondingly storing the current environmental condition data and the current air conditioner setting parameters.
10. An apparatus for setting air conditioning parameters, comprising:
an obtaining unit, configured to obtain current environmental condition data, where the environmental condition data includes m pieces of environmental influence factor data;
a determining unit, configured to determine a target distance according to the current environmental condition data and each historical environmental condition data, where the target distance is a minimum distance in distances between the current environmental condition data and each historical environmental condition data;
the first obtaining unit is used for obtaining historical air conditioner parameter setting data under historical environmental condition data corresponding to the target distance if the target distance is smaller than a preset threshold value;
a first setting unit, configured to complete air conditioning parameter setting according to the historical air conditioning parameter setting data, where the preset threshold is obtained by using a threshold adjustment algorithm to adjust based on an initialization threshold, and the initialization threshold is obtained according to the m and k0Obtained of the k0A positive number greater than 1.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811518584.6A CN111306720B (en) | 2018-12-12 | 2018-12-12 | Method and device for setting air conditioner parameters |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811518584.6A CN111306720B (en) | 2018-12-12 | 2018-12-12 | Method and device for setting air conditioner parameters |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111306720A CN111306720A (en) | 2020-06-19 |
| CN111306720B true CN111306720B (en) | 2021-05-18 |
Family
ID=71156240
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811518584.6A Active CN111306720B (en) | 2018-12-12 | 2018-12-12 | Method and device for setting air conditioner parameters |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111306720B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113515053A (en) * | 2021-04-13 | 2021-10-19 | 青岛海尔空调器有限总公司 | Method and device for controlling running of household appliance and household appliance |
| CN115402057B (en) * | 2022-10-31 | 2023-03-24 | 长城汽车股份有限公司 | Air conditioner adjusting method, server, terminal and system |
| CN117128626A (en) * | 2023-07-21 | 2023-11-28 | 江森自控日立万宝空调(广州)有限公司 | Self-adaptive adjusting method for cooling mode of natural cooling air conditioning unit |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102818330A (en) * | 2011-06-08 | 2012-12-12 | 上海启电信息科技有限公司 | Communication machine room energy saving system |
| CN104279713A (en) * | 2014-10-24 | 2015-01-14 | 珠海格力电器股份有限公司 | Air conditioner control method and system and air conditioner controller |
| CN104428600A (en) * | 2012-07-09 | 2015-03-18 | 松下知识产权经营株式会社 | Air conditioning management device and air conditioning management system |
| CN104879879A (en) * | 2015-03-09 | 2015-09-02 | 广东美的制冷设备有限公司 | Indoor environmental conditioning method and indoor environmental conditioning device |
| CN106196433A (en) * | 2016-07-04 | 2016-12-07 | 珠海格力电器股份有限公司 | A kind of airconditioning control parameter determination device and method, air-conditioning and server |
| CN107883527A (en) * | 2017-09-28 | 2018-04-06 | 努比亚技术有限公司 | Control method, mobile device and the computer-readable recording medium of air-conditioning equipment |
| CN108006927A (en) * | 2017-12-19 | 2018-05-08 | 珠海格力电器股份有限公司 | Air-conditioning and its control method |
| CN108253588A (en) * | 2017-12-07 | 2018-07-06 | 珠海格力电器股份有限公司 | Control method, device, storage medium and the processor of air-conditioning |
| CN108268901A (en) * | 2018-01-25 | 2018-07-10 | 中国环境监测总站 | A kind of algorithm that environmental monitoring abnormal data is found based on dynamic time warping distance |
| US10119720B2 (en) * | 2016-02-18 | 2018-11-06 | Samsung Electronics Co., Ltd. | Method for controlling air conditioner |
-
2018
- 2018-12-12 CN CN201811518584.6A patent/CN111306720B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102818330A (en) * | 2011-06-08 | 2012-12-12 | 上海启电信息科技有限公司 | Communication machine room energy saving system |
| CN104428600A (en) * | 2012-07-09 | 2015-03-18 | 松下知识产权经营株式会社 | Air conditioning management device and air conditioning management system |
| CN104279713A (en) * | 2014-10-24 | 2015-01-14 | 珠海格力电器股份有限公司 | Air conditioner control method and system and air conditioner controller |
| CN104879879A (en) * | 2015-03-09 | 2015-09-02 | 广东美的制冷设备有限公司 | Indoor environmental conditioning method and indoor environmental conditioning device |
| US10119720B2 (en) * | 2016-02-18 | 2018-11-06 | Samsung Electronics Co., Ltd. | Method for controlling air conditioner |
| CN106196433A (en) * | 2016-07-04 | 2016-12-07 | 珠海格力电器股份有限公司 | A kind of airconditioning control parameter determination device and method, air-conditioning and server |
| CN107883527A (en) * | 2017-09-28 | 2018-04-06 | 努比亚技术有限公司 | Control method, mobile device and the computer-readable recording medium of air-conditioning equipment |
| CN108253588A (en) * | 2017-12-07 | 2018-07-06 | 珠海格力电器股份有限公司 | Control method, device, storage medium and the processor of air-conditioning |
| CN108006927A (en) * | 2017-12-19 | 2018-05-08 | 珠海格力电器股份有限公司 | Air-conditioning and its control method |
| CN108268901A (en) * | 2018-01-25 | 2018-07-10 | 中国环境监测总站 | A kind of algorithm that environmental monitoring abnormal data is found based on dynamic time warping distance |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111306720A (en) | 2020-06-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111306720B (en) | Method and device for setting air conditioner parameters | |
| CN105549407A (en) | Household electrical appliance control method and apparatus | |
| CN108489036B (en) | Air conditioner, control method thereof, and computer-readable storage medium | |
| DE102015214504A1 (en) | AVN terminal, vehicle having same and method of controlling a vehicle | |
| JP2018518408A (en) | Automatic environmental control system | |
| CN113119683B (en) | Control method of vehicle air conditioner, vehicle terminal and server | |
| CN110836515A (en) | Household equipment control method and device, control equipment and readable storage medium | |
| CN112696798B (en) | Parameter setting method of air conditioner, air conditioning apparatus, and computer-readable storage medium | |
| CN112145020B (en) | Window control method, device, equipment and storage medium | |
| CN108592316B (en) | Control method of air conditioner, air conditioner and computer readable storage medium | |
| CN110895011A (en) | Air conditioner control method and device, storage medium and air conditioner | |
| CN112443954A (en) | Control method of air conditioner, air conditioner and computer readable storage medium | |
| CN111026066A (en) | Vehicle control method and device | |
| CN113777938A (en) | Household appliance control method, device, equipment and storage medium | |
| CN109130778A (en) | A kind of control method of on-board air conditioner, device and equipment | |
| WO2020078076A1 (en) | Method and system for controlling air conditioner, air conditioner, and household appliance | |
| CN113883674B (en) | Air conditioner sleep curve correction method and device, air conditioner and readable storage medium | |
| CN104990231B (en) | The control method and device of Centralized Controller | |
| CN110726209A (en) | Air conditioner control method and device, storage medium and processor | |
| CN112172451B (en) | Intelligent air conditioner adjusting method and system suitable for shared automobile | |
| CN110968341B (en) | Method and device for setting air conditioner parameters | |
| CN110779175A (en) | Operation mode control method and device | |
| CN104964392A (en) | Air conditioner system and air conditioner control method | |
| CN111452588B (en) | Control method and device for environment adjusting equipment of travel tool | |
| CN109685775A (en) | The dirty stifled recognition methods of strainer, device, smart machine and readable storage medium storing program for executing |
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 |