CN105910232B - Air conditioning control method, system and air-conditioning based on neighbouring air-conditioning setting study - Google Patents
Air conditioning control method, system and air-conditioning based on neighbouring air-conditioning setting study Download PDFInfo
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- CN105910232B CN105910232B CN201610284921.4A CN201610284921A CN105910232B CN 105910232 B CN105910232 B CN 105910232B CN 201610284921 A CN201610284921 A CN 201610284921A CN 105910232 B CN105910232 B CN 105910232B
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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
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
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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
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
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Abstract
Air conditioning control method, system and the air-conditioning learnt is set based on neighbouring air-conditioning the present invention relates to a kind of, the method includes：Obtain air-conditioning position Lu to be controlled；It is searched for centered on Lu in preset range or the air-conditioning of distance Lu predetermined quantities from the near to the remote, generates air-conditioning candidate list Lc；The parameter setting for obtaining each air-conditioning in air-conditioning candidate list Lc, is counted according to preset reference item, is obtained by sequence or without the statistical result of sequence；The operating parameter of the air-conditioning to be controlled is determined according to statistical result.The present invention by close on air-conditioning setting study, obtain reference frame of the user to airconditioning control, by the setting wisdom of everybody, make oneself can fast setting be suitble to home environment air-conditioning parameter.Its air conditioner energy saving and comfortable effect, air-conditioning set pace of learning, are all substantially better than existing airconditioning control mode.
Description
Technical field
The present invention relates to air conditioner controlling technology fields, more particularly to the airconditioning control side based on neighbouring air-conditioning setting study
Method, system and air-conditioning.
Background technology
Intelligent appliance on the market only transmits user's behavior learning operating parameter.Such way is only capable of reaction sole user
Optimum temperature, and need longer air-conditioning learning time, the setting preference of user just may be learned.In addition, user is also necessary
Drawing upon personal experience selects most suitable parameter setting, or according to personal experience, selects compared with power saving but do not influence comfort level
Parameter setting, such setting experience must be tested for a long time.
Invention content
It is a kind of based on neighbouring air-conditioning setting the technical problem to be solved by the present invention is in view of the deficiencies of the prior art, provide
Air conditioning control method, system and the air-conditioning of study.By neighbouring operation of air conditioner as a result, for the ginseng as oneself air-conditioning setting
It examines, by the wisdom for closing on everybody so that air-conditioning can learn the best setup parameter of neighbouring air-conditioning.
The technical solution that the present invention solves above-mentioned technical problem is as follows：A kind of air-conditioning control based on neighbouring air-conditioning setting study
Method processed, which is characterized in that include the following steps：
S1 obtains air-conditioning position Lu to be controlled；
S2, is searched in preset range or the air-conditioning of distance Lu predetermined quantities from the near to the remote centered on Lu, generates air-conditioning
Candidate list Lc；
S3 obtains the parameter setting of each air-conditioning in air-conditioning candidate list Lc, is counted according to preset reference item, obtain through
Cross sequence or the statistical result without sequence；
S4 determines the operating parameter of the air-conditioning to be controlled according to statistical result.
For achieving the above object, the present invention also provides a kind of airconditioning control systems based on neighbouring air-conditioning setting study
System, including intelligent terminal and Internet of Things service server；
The intelligent terminal is used to air-conditioning position Lu to be controlled being sent to Internet of Things server；
The Internet of Things server is used to search for centered on Lu in preset range or distance Lu predetermined numbers from the near to the remote
The air-conditioning of amount generates air-conditioning candidate list Lc；The parameter setting for obtaining each air-conditioning in air-conditioning candidate list Lc, according to preset reference
Item is counted, and is obtained by sequence or without the statistical result of sequence；The air-conditioning to be controlled is determined according to statistical result
Operating parameter.
For achieving the above object, the present invention also provides a kind of air-conditionings, including based on neighbouring described in above-mentioned technical proposal
The air-conditioner control system of air-conditioning setting study.
The beneficial effects of the invention are as follows：The present invention obtains user couple under this area by the study to closing on air-conditioning setting
The reference frame of airconditioning control, by the setting wisdom of everybody, make oneself can fast setting be suitble to home environment air-conditioning parameter,
Reach most power saving setting or the most comfortable setting.Its air conditioner energy saving and comfortable effect, air-conditioning set pace of learning, are all substantially better than existing
Some airconditioning control modes.
Description of the drawings
Fig. 1 is a kind of air conditioning control method flow chart based on neighbouring air-conditioning setting study of the present invention；
Fig. 2 is a kind of air-conditioner control system figure based on neighbouring air-conditioning setting study of the present invention.
Specific implementation mode
The principle and features of the present invention will be described below with reference to the accompanying drawings, and the given examples are served only to explain the present invention, and
It is non-to be used to limit the scope of the present invention.
Intelligent appliance on the market only transmits user's behavior learning operating parameter.Such way is only capable of reaction sole user
Most suitable parameter setting, and need longer air-conditioning learning time, the setting preference of user just may be learned.In addition, user
Must Drawing upon personal experience select the parameter settings such as the temperature, humidity or air quantity of the most comfortable, or relatively saved according to personal experience's selection
Temperature, humidity or air quantity etc. electric but that do not influence comfort level, such setting experience must be tested for a long time.
In fact, under neighbouring climatic environment, the different setting of air-conditioning will produce different power consumption or different comfort levels,
Through neighbouring operation of air conditioner as a result, can be used to the reference as oneself air-conditioning setting.Through the wisdom of neighbours everybody so that empty
The best setup parameter of neighbouring air-conditioning can be learnt by adjusting, and reach power saving setting or comfortable setting.
Present invention produces new modes of learning, and the air-conditioning by learning neighbouring area sets most suitable under this area to determine
The air-conditioning of conjunction is set, and reaches most power saving setting or the most comfortable setting.Compared with past method, the present invention penetrates the setting intelligence of everybody
It is intelligent, make oneself can fast setting be suitble to home environment air-conditioner temperature.Its air conditioner energy saving and comfortable effect, air-conditioning setting study speed
Degree, is all substantially better than past air-conditioning temperature control mode.
The airconditioning control for reaching most power saving by learning neighbouring air-conditioning setting is illustrated with reference to embodiment.Embodiment
1, as shown in Figure 1, a kind of air conditioning control method based on neighbouring air-conditioning setting study, includes the following steps：S1 obtains sky to be controlled
Adjust position Lu；S2, is searched in preset range or the air-conditioning of distance Lu predetermined quantities from the near to the remote centered on Lu, is generated
Air-conditioning candidate list Lc；S3, in air-conditioning candidate list Lc according to preset reference item count each air-conditioning air-conditioning set, obtain through
Cross sequence or the statistical result without sequence；S4 determines the operating parameter of the air-conditioning to be controlled according to statistical result.
Candidate list Lc is generated in S2 to be：Centered on Lu, determines preset range by the way that search radius is arranged, search for
Air-conditioning in preset range generates air-conditioning candidate list Lc；Alternatively, using Lu as basic point, detection range Lu predetermined numbers from the near to the remote
The air-conditioning of amount generates air-conditioning candidate list Lc.Described search radius is set as user's setting value Dp；If the not specified search of user is partly
Diameter, then using systematic parameter DS as search radius.S2 further includes that following one or more behaviour are carried out on the basis of candidate list Lc
Make：The identical air-conditioning of air-conditioning type is filtered out, the air-conditioning that nearest preset time period is not keyed up operation is filtered out, is filtered out pre- recently
If there is the air-conditioning for carrying out air-conditioning setting in the period.The identical air-conditioning of screening air-conditioning type in further additional operations, can be with
Improve the accuracy of reference, more reference value；The air-conditioning that nearest preset time period is not keyed up operation is filtered out, is filtered out recently
There is the air-conditioning for carrying out air-conditioning setting in preset time period, air-conditioning can be made by the setting of timeliness to avoid out-of-date study is generated
Best setting can react climate change as early as possible.
In the present embodiment, the preset reference item is nearest unit interval electricity consumption, and S3's is implemented as：Obtain each sky
The parameter setting of tune counts the nearest unit interval electricity consumption of each air-conditioning, the pre-set parameter by each air-conditioning and corresponding electricity consumption
Composition statistics inventory Ls, using statistics inventory Ls as statistical result.
Above-mentioned technical proposal further includes arranging the nearest unit interval electricity consumption of each air-conditioning of statistics, by what is arranged
The parameter setting composition statistics inventory Ls of each air-conditioning, when statistics inventory Ls=[C1, C2 ... Ci ..., Cn], Ci indicate nearest unit
Between electricity consumption come the air-conditioning parameter setting of i, Ci includes temperature setting, air quantity setting and at least one of humidity set.
If above-mentioned technical proposal further includes having multigroup same parameter setting to produce different nearest unit interval electricity consumptions
Two groups of same parameter settings are then merged, are specially deleted in same parameter setting compared with power consumption by amount.
The specific implementation of S4 includes：By process sequence or intelligent terminal is sent to without the statistical result of sequence to show
Show, the air-conditioning that user is selected from statistical result sets the operating parameter as the air-conditioning to be controlled；Or Internet of Things service
Device will be described in the air-conditioning setting conduct that automatically selected from by sequence or the statistical result without sequence according to preset rules
The operating parameter of air-conditioning to be controlled.It, will such as the correspondence of the parameter setting and corresponding electricity consumption that show air-conditioning in the form of a list
Statistical result is sent to intelligent terminal and is shown, is selected for user, the parameter setting that user is selected is as air-conditioning to be controlled
Operating parameter；Or Internet of Things server automatically selects parameter of the parameter setting of the air-conditioning of electricity consumption minimum as air-conditioning to be controlled
Setting.Before statistical result is returned to intelligent terminal, Internet of Things server can set the data volume of statistics inventory, before arrangement
N data return to intelligent terminal.
Air-conditioning setting study power saving wisdom is closed on by study in the present embodiment
1. air conditioner user closes on power saving wisdom by intelligent terminal study
Intelligent control device, including mobile phone, lithographic plate computer, desktop computer or any installing the hard of airconditioning control software
Part equipment.
The intelligent terminal position (Location) that air-conditioning equipment ID and user are held is sent to Internet of Things by intelligent terminal
Server.It is Dp that user, which optionally specifies search for radius, and is sent to server, make Internet of Things server search range by
To limitation.If the not specified detection range of user, systematic parameter Ds is used.
2. air-conditioning Internet of Things server searches for air-conditioning nearby
2.1 more new device locations
Air-conditioning equipment ID, user equipment position Lu and current time Tu are recorded in server by Internet of Things server
Database.Keep Internet of Things server desirable user equipment latest position.Smart machine due to user's control household electrical appliances and family
The position of electricity is usually in same climatic province.It therefore can be by intelligent terminal position as air-conditioning position La.
2.2 the neighbouring air-conditioning of search
It is illustrated in the present embodiment with searching for air-conditioning in preset range, neighbouring air-conditioning is searched according to Lu, if user has finger
Determine radius distance Dp, then searches for the air-conditioning in user's specified radius distance.If user is joined without specified detection range using system
Number Ds, searches the air-conditioning in Ds distance ranges.When searching for air-conditioning in preset range, following one or more of behaviour can be also carried out
Make：The identical air-conditioning of air-conditioning type is filtered out closing on, the air-conditioning that nearest preset time period is not keyed up operation is filtered out, filters out
There is the air-conditioning for carrying out air-conditioning setting in nearest preset time period.
Such as all air-conditionings composition in the preset range searched is closed on into air-conditioning inventory as candidate list Lc；Or
Person, when search closes on air-conditioning, by air-conditioning equipment ID searching air conditioner models, the air-conditioning of the same model searched composition it is same
Model closes on air-conditioning inventory as candidate list Lc；Alternatively, not having from closing in air-conditioning inventory to filter out in nearest preset time period
The inventory being made of remaining air-conditioning after the air-conditioning of booting operation is as candidate list Lc；Alternatively, closing on air-conditioning inventory from same model
In filter out the air-conditioning of operation is not powered in nearest preset time period after remaining air-conditioning composition inventory as candidate list Lc；
Alternatively, from close in air-conditioning inventory filter out in nearest preset time period by carry out air-conditioning setting air-conditioning air-conditioning form it is clear
Nonoculture is candidate list Lc；There is carry out air-conditioning alternatively, closing in air-conditioning inventory and being filtered out in nearest preset time period from same model
The inventory of the air-conditioning composition of the air-conditioning of setting is as candidate list Lc.Other combinations will not enumerate.
It filters out in nearest preset time period (such as Th hours) and is not powered on the air-conditioning of operation, or filter out default recently
There is the inventory for carrying out air-conditioning setting in time, generate candidate list Lc=[ID1, ID2 ..., IDn], IDi is the knowledge of air-conditioning equipment
Other code.Different periods can be effectively filtered out by above-mentioned filter type to set with the out-of-date air-conditioning under weather.
3. air-conditioning Internet of Things server calculates best power saving setting
The nearest unit interval electricity consumption of air-conditioning in 3.1 search Lc inventories, and be ranked up.
The unit interval can be minute or hour.
Such as there are three air-conditionings：[id1, id2, id3], the electricity consumption of a nearest hour be respectively [1.25 degree, 0.75
Degree, 1.0 degree], then it is sequentially [id2, id1, id3] after this three air-conditionings carry out power consumption most preferably sequence according to electricity consumption.
3.2 most preferably sort according to power consumption, generate best power saving setting.
After achieving power consumption most preferably sequence, set according to the air-conditioning of the id of air-conditioning search at that time.The setting includes
Air-conditioning set temperature, air quantity, humidity etc. can influence the air-conditioning setting of electricity consumption.
One group of best power saving inventory Ls=[C1, C2 ..., Cn] is finally generated, wherein Ci sets for air-conditioning parameter.Ci=
[Ti, Wi, Hi], wherein Ti set for temperature, and Wi sets for air quantity, and Hi is humidity set.Statistics inventory Ls is collated sets
Sequencing arranges, more front representative more power saving.
If there are two groups of same settings to produce different electricity, merging can be equally set by this two groups.Merging mode is to delete
Same setting, but compared with the data of power consumption.
4. air-conditioning Internet of Things server returns to air-conditioning and sets wisdom
Best power saving inventory is sent to intelligent terminal by Internet of Things server.
Ls=[C1, C2 ..., Cn].Statistical result in the present embodiment is that arranged set by air-conditioning parameter forms
Inventory is counted, the corresponding power consumption of parameter setting being arranged in front is low, and it is high to arrange posterior power consumption.User can be simple and clear
The minimum parameter setting of perception electricity consumption.
Further optimization, Internet of Things server can control the quantity set in inventory, reach reduction volume of transmitted data, make
User can faster obtain result.
5. user selects execution is specific to close on wisdom
Include selecting best power saving air-conditioning to set for user on intelligent terminal by Ls after smart machine obtains Ls.With
Family has selected the Ci in Ls, and air-conditioning setting is sent to air-conditioning, so that air-conditioning is executed under best setting and saves electricity operation.
The present invention can also be automated above step using computer program, is executed step 1-5 with set time frequency, is taken
It obtains and most preferably saves electro-temperature, and be that user's setting is best automatically and save electro-temperature.The automatable acquirement of user's air-conditioning is set to close on wisdom,
It is held at the temperature of most power saving at any time.
Specific example is as follows：
1. air conditioner user requires to close on wisdom through intelligent control device
User clicks " closing on wisdom " function, and sets 10 kilometers of search radius.
The position of terminal, search radius and air-conditioning equipment ID are sent to Internet of Things server by intelligent terminal.
2. air-conditioning Internet of Things server searches for air-conditioning nearby
2.1 more new device locations
Air-conditioning equipment ID, intelligent terminal position Lu and current time Tu are recorded in server by Internet of Things server
Database.
The neighbouring air-conditioning of 2.2 search
Internet of Things server searches the air-conditioning in 10 kilometers of adjacent radius according to position Lu, generates a neighbouring air-conditioning inventory
Lac.Lac=[ID1, ID2, ID3, ID4, ID5] filters in nearest 8 hours, is not powered on the air-conditioning identification code of operation.By
In ID5 without booting in nearest 8 hours, therefore candidate list Lc=[ID1, ID2, ID3, ID4].
3. air-conditioning Internet of Things server calculates best power saving setting.
The nearest unit interval electricity of air-conditioning in 3.1 search Lc inventories, and be ranked up.
The unit interval of this example is " hour ", air-conditioning：[ID1, ID2, ID3, ID4], nearest hour electricity consumption difference
For [0.9 degree, 0.6 degree, 0.7 degree, 0.8 degree], after air-conditioning carries out power consumption most preferably sequence according to electricity consumption, be sequentially [ID2,
ID3,ID4,ID1]。
3.2 most preferably sort according to power consumption, generate best power saving setting.
One group of best power saving inventory Ls=[C2, C3, C4, C1] is generated, is illustrated to simplify, the setting of this example is only with temperature
For example, in implementation, C can be made of temperature, air quantity, humidity or any setup parameter for influencing electric power more than one
Combination.
Data are sequentially set according to the id query histories of best power consumption, it can be seen that：
Temperature when id2 generates 0.6 degree of power consumption per hour is set as 28 degree,
Temperature when id3 generates 0.7 degree of power consumption per hour is set as 27 degree,
Temperature when id4 generates 0.8 degree of power consumption per hour is set as 27 degree,
Temperature when id1 generates 0.9 degree of power consumption per hour is set as 25 degree,
Therefore the best power saving setting Ls=[28,27,27,25] of [ID2, ID3, ID4, ID1] closes the setting repeated
And obtain best power saving setting Ls=[28,27,25].
4. air-conditioning Internet of Things server returns to air-conditioning and sets wisdom.
Best power saving inventory is sent to smart machine by Internet of Things server.
Good power saving inventory Ls=[28,27,25].
5. user selects execution is specific to close on wisdom.
User has selected best power saving inventory, smart machine to show three suggestions, respectively 28 degree, 27 degree and 25 degree.
After user has selected 28 degree, intelligence terminal penetrates Internet of Things, and air-conditioning is set as 28 degree of best power saving.
Internet of Things server can also will directly be arranged in most preceding parameter setting as air-conditioning to be controlled according to pre-defined rule
Operating parameter.
The airconditioning control for reaching the most comfortable by learning neighbouring air-conditioning setting is illustrated with reference to embodiment.Embodiment
2, as shown in Figure 1, a kind of air conditioning control method based on neighbouring air-conditioning setting study, includes the following steps：S1 obtains sky to be controlled
Adjust position Lu；S2, is searched in preset range or the air-conditioning of distance Lu predetermined quantities from the near to the remote centered on Lu, is generated
Air-conditioning candidate list Lc；S3, in air-conditioning candidate list Lc according to preset reference item count each air-conditioning air-conditioning set, obtain through
Cross sequence or the statistical result without sequence；S4 determines the operating parameter of the air-conditioning to be controlled according to statistical result.
Candidate list Lc is generated in S2 to be：Centered on Lu, determines preset range by the way that search radius is arranged, search for
Air-conditioning in preset range generates air-conditioning candidate list Lc；Alternatively, using Lu as basic point, detection range Lu predetermined numbers from the near to the remote
The air-conditioning of amount generates air-conditioning candidate list Lc.Described search radius is set as user's setting value Dp；If the not specified search of user is partly
Diameter, then using systematic parameter DS as search radius.S2 further includes that following one or more behaviour are carried out on the basis of candidate list Lc
Make：The identical air-conditioning of air-conditioning type is filtered out, the air-conditioning that nearest preset time period is not keyed up operation is filtered out, is filtered out pre- recently
If there is the air-conditioning for carrying out air-conditioning setting in the period.
In the present embodiment, the preset reference item is the user that air-conditioning parameter sets different value in nearest preset time period
Number, S3's is implemented as：The parameter setting of each air-conditioning is obtained, parameter setting described in air-conditioning is respectively set as different numbers by statistics
The number of users of value forms statistics inventory Ls, using statistics inventory Ls as statistical result by pre-set parameter and corresponding number of users.
Above-mentioned technical proposal further includes according to the numerical value of how much arrangements parameter setting of number of users, by the institute after arranging
Numerical value composition statistics the inventory Ls, statistics inventory Ls=[c1, c2 ... cj ..., cn], cj for stating parameter setting are that number of users comes j
The parameter setting numerical value.
If the different numerical value that above-mentioned technical proposal further includes the parameter setting have identical number of users, set with air-conditioning
Time point closely to remote sequence, will be arranged in front away from current time is close.
The specific implementation of S4 includes：By process sequence or intelligent terminal is sent to without the statistical result of sequence to show
Show, the air-conditioning that user is selected from statistical result sets the operating parameter as the air-conditioning to be controlled；Or Internet of Things service
Device sets the air-conditioning selected from by sequence or the statistical result without sequence according to preset rules as described to be controlled
The operating parameter of air-conditioning.Such as the correspondence of the parameter setting and relative users number that show air-conditioning in the form of a list, will count
As a result it is sent to intelligent terminal to be shown, be selected for user, the parameter setting that user is selected is as the operation of air-conditioning to be controlled
Parameter；Or Internet of Things server automatically selects the parameter setting of the most air-conditioning of number of users and is set as the parameter of air-conditioning to be controlled
It is fixed.Before statistical result is returned to intelligent terminal, Internet of Things server can set the data volume of statistics inventory, by N before arrangement
The data of position return to intelligent terminal.
Air-conditioning setting study comfort level wisdom is closed on by study in the present embodiment.
1. air conditioner user closes on comfortable wisdom by intelligent terminal study.
Intelligent control device, including mobile phone, lithographic plate computer, desktop computer or any installing the hard of airconditioning control software
Part equipment.
Intelligent control device, the intelligent terminal position (Location) that air-conditioning equipment ID and user are held, is sent to
Internet of Things server.It is Dp that user, which optionally specifies search for distance radius, send to server, Internet of Things server is made to search for
Range is restricted.If the not specified detection range of user, systematic parameter Ds is used.User optionally requires to search specific
The wisdom of air-conditioning parameter setting.The specific air-conditioning parameter is temperature, humidity or air quantity.
2. air-conditioning Internet of Things server searches for air-conditioning nearby.
2.1 more new device locations.
Air-conditioning equipment ID, user equipment position Lu and current time Tu are recorded in server count by Internet of Things server
According to library.Keep server desirable user equipment latest position.Due to the smart machine of user's control household electrical appliances and the position of household electrical appliances
It is generally placed upon same climatic province.It therefore can be by user equipment position as air-conditioning position La.
The neighbouring air-conditioning of 2.2 search.
Neighbouring air-conditioning is searched according to Lu, if user has specified radius distance Dp, is searched in user's specified radius distance
Air-conditioning.If user searches the air-conditioning in Ds distance ranges without specified detection range, using systematic parameter Ds.Model is preset in search
When enclosing interior air-conditioning, following one or more of operations can be also carried out：The identical air-conditioning of air-conditioning type is filtered out closing on, is filtered out most
Nearly preset time period is not keyed up the air-conditioning of operation, filters out the air-conditioning for having in nearest preset time period and carrying out air-conditioning setting.
Such as all air-conditionings composition in the preset range searched is closed on into air-conditioning inventory as candidate list Lc；Or
Person, when search closes on air-conditioning, by air-conditioning equipment ID searching air conditioner models, the air-conditioning of the same model searched composition it is same
Model closes on air-conditioning inventory as candidate list Lc；Alternatively, not having from closing in air-conditioning inventory to filter out in nearest preset time period
The inventory being made of remaining air-conditioning after the air-conditioning of booting operation is as candidate list Lc；Alternatively, closing on air-conditioning inventory from same model
In filter out the air-conditioning of operation is not powered in nearest preset time period after remaining air-conditioning composition inventory as candidate list Lc；
Alternatively, from close in air-conditioning inventory filter out in nearest preset time period by carry out air-conditioning setting air-conditioning air-conditioning form it is clear
Nonoculture is candidate list Lc；There is carry out air-conditioning alternatively, closing in air-conditioning inventory and being filtered out in nearest preset time period from same model
The inventory of the air-conditioning composition of the air-conditioning of setting is as candidate list Lc.Other combinations will not enumerate.
When filtering out in nearest preset time period (Th hours) and be not powered on the air-conditioning of operation, or filtering out default recently
It is interior to have the inventory for carrying out air-conditioning setting, candidate list Lc=[ID1, ID2 ..., IDn] is generated, IDi is the identification of air-conditioning equipment
Code.Different periods can be effectively filtered out by above-mentioned filter type to set with the out-of-date air-conditioning under weather.
3. air-conditioning Internet of Things server calculates optimal comfort setting.
Oneself comfortable air-conditioning setting is enabled since people can set as far as possible, likes comfortable, dislikes supercooling or overheat, according to
The air-conditioning setting for counting most people can be similar to the tested optimal comfort setting of everybody.
Air-conditioning parameter in 3.1 search Lc inventories sets Pi, and carries out quantity statistics, generates the different value pair of parameter setting
The number of users answered.The operating parameter Pi can be that air-conditioner temperature sets t, air quantity sets w or humidity set h or any influence is comfortable
The air-conditioning parameter of degree is set.
Such as：When Pi is temperature, the number of various temperature settings is counted.25 degree：3 people；26 degree：4 people；27 degree：2 people.
3.2 are more to ranked up less according to number, generate optimal comfort parameter marshalling.
Optimal comfort parameter marshalling Ls=[c1, c2 .., cj], wherein cj are that user number is arranged as j parameter setting.More
The more people's settings of representative of front, relatively comfortable temperature setting was tested for everybody.Fewer people's setting is more represented below, for minority
The air-conditioning setting that people prefers.
Such as：When Pi is temperature, the number of various temperature settings is counted, and is up to ranked up less according to number, is produced
Raw Ls=[26 degree, 25 degree, 27 degree].
If there is different air-conditionings to be set with identical number, newly arrived with the time point of air-conditioning setting old as clooating sequence.It will
The sequence close apart from current time is preceding.
4. Internet of Things server returns to air-conditioning and sets wisdom.
Internet of Things server returns optimal comfort inventory to intelligent terminal.
Ls=[c1, c2 .., cj], wherein Pi are parameter type, and cj is the parameter setting that user number is arranged in j.Parameter
Type includes temperature, air quantity or humidity.
Further optimization, Internet of Things server can control the quantity in inventory, limit the size of j, reach reduction data
Transmission quantity makes user that can faster obtain result.
Further optimization, Pi can be the air-conditioning ginseng that temperature setting, air quantity setting, humidity set or any user can set
Number.Internet of Things server, the type that can be required according to user, returns to one group or more of optimal comfort inventory.
5. user selects execution is specific to close on wisdom.
Include that user is provided and selects optimal comfort parameter setting in intelligent terminal by Ls after intelligent terminal obtains Ls.User
After having selected the cj in Ls, air-conditioning setting is sent to air-conditioning, air-conditioning is made to execute comfortable operation under best setting.
The present invention can also be automated above step using computer program, is executed step 1-5 with set time frequency, is taken
It obtains and most preferably saves electro-temperature, and be that user's setting is best automatically and save electro-temperature.The automatable acquirement of user's air-conditioning is set to close on wisdom,
It is held at the temperature of most power saving at any time.
Specific embodiment is as follows：
1. air conditioner user requires to close on wisdom through intelligent control device.
User clicks " closing on wisdom " function, sets 10 kilometers of search radius, sets wisdom type as " temperature ".
The position of intelligent terminal, search radius and air-conditioning equipment ID are sent to Internet of Things server by intelligent terminal.
2. air-conditioning Internet of Things server searches for air-conditioning nearby.
2.1 more new device locations.
Air-conditioning equipment ID, intelligent terminal position Lu and current time Tu are recorded in server count by Internet of Things server
According to library.
The neighbouring air-conditioning of 2.2 search.
The air-conditioning in 10 kilometers of adjacent radius is searched according to position Lu, generates a neighbouring air-conditioning inventory Lac.Lac=
[ID1, ID2, ID3, ID4, ID5] filters in nearest 8 hours, is not powered on the air-conditioning identification code of operation.Due to ID5, most
Without booting in nearly 8 hours, therefore candidate list Lc=[ID1, ID2, ID3, ID4].
3. air-conditioning Internet of Things server calculates optimal comfort setting.
Since user sets wisdom type as " temperature ", Pi is temperature.
Temperature setting in the nearest preset time period of air-conditioning in 3.1 search Lc inventories, and quantity statistics are carried out, it generates various
The number of temperature setting.
Temperature is set as 28 degree in the nearest preset time periods of id2；
Temperature is set as 27 degree in the nearest preset time periods of id1；
Temperature is set as 27 degree in the nearest preset time periods of id4；
Temperature is set as 25 degree in the nearest preset time periods of id3.
Production rises temperature and sets demographics：27 degree, 2 people；28 degree, 1 people；25 degree, 1 people.
3.2 are more to ranked up less according to number, generate optimum temperature setting.
28 degree are set with same number with 25 degree, and in front by the lower 28 degree of sequences of power consumption, optimal comfort temperature is received in production
Spend inventory Ls=[27,28,25].In Ls inventories, the more people's settings of representative of more front tested relatively comfortable temperature for everybody
Setting.
Further, air quantity or humidity set can be counted, is ranked up from more to less according to the number of setting, is generated best
Air quantity or humidity set.
4. Internet of Things server returns to air-conditioning and sets wisdom.
Internet of Things server returns optimal comfort inventory to smart machine.Optimal comfort temperature inventory Ls=[27,28,
25]。
5. user selects execution is specific to close on wisdom.
User has selected optimal comfort temperature inventory, and smart machine shows three suggestions, respectively 27 degree, 28 degree and 25
Degree.After user has selected 28 degree, intelligent apparatus penetrates Internet of Things, and air-conditioning is set as 27 degree of optimal comfort temperature.
Internet of Things server can also will directly be arranged in most preceding parameter setting as air-conditioning to be controlled according to pre-defined rule
Operating parameter.
The airconditioning control for reaching the most comfortable by learning neighbouring air-conditioning setting is illustrated with reference to embodiment.Embodiment
3, as shown in Figure 1, a kind of air conditioning control method based on neighbouring air-conditioning setting study, includes the following steps：S1 obtains sky to be controlled
Adjust position Lu；S2, is searched in preset range or the air-conditioning of distance Lu predetermined quantities from the near to the remote centered on Lu, is generated
Air-conditioning candidate list Lc；S3, in air-conditioning candidate list Lc according to preset reference item count each air-conditioning air-conditioning set, obtain through
Cross sequence or the statistical result without sequence；S4 determines the operating parameter of the air-conditioning to be controlled according to statistical result.
Candidate list Lc is generated in S2 to be：Centered on Lu, determines preset range by the way that search radius is arranged, search for
Air-conditioning in preset range generates air-conditioning candidate list Lc；Alternatively, using Lu as basic point, detection range Lu predetermined numbers from the near to the remote
The air-conditioning of amount generates air-conditioning candidate list Lc.Described search radius is set as user's setting value Dp；If the not specified search of user is partly
Diameter, then using systematic parameter DS as search radius.S2 further includes that following one or more behaviour are carried out on the basis of candidate list Lc
Make：The identical air-conditioning of air-conditioning type is filtered out, the air-conditioning that nearest preset time period is not keyed up operation is filtered out, is filtered out pre- recently
If there is the air-conditioning for carrying out air-conditioning setting in the period.
In the present embodiment, the reference items are the distance of distance Lu, and S3's is implemented as：The parameter for obtaining each air-conditioning is set
Fixed, it is clear to form statistics by pre-set parameter and corresponding distance value for the distance value of each air-conditioning distance Lu in statistics candidate list Lc
Single Ls, using statistics inventory Ls as statistical result.
S4's is implemented as：By process sequence or intelligent terminal is sent to without the statistical result of sequence to show
Show, the air-conditioning that user is selected from statistical result sets the operating parameter as the air-conditioning to be controlled；Or Internet of Things service
Device sets the air-conditioning selected from by sequence or the statistical result without sequence according to preset rules as described to be controlled
The operating parameter of air-conditioning；Or Internet of Things server calculates the best setting of air-conditioning according to preset algorithm according to statistical result, it will
Operating parameter of the best setting as the air-conditioning to be controlled.
Such as the correspondence of the parameter setting and relative users number that show air-conditioning in the form of a list, statistical result is sent
It is shown, is selected for user, the parameter setting that user is selected is as the operating parameter of air-conditioning to be controlled to intelligent terminal；It will system
Before meter result returns to intelligent terminal, Internet of Things server can set the data volume of statistics inventory, will arrange the data of top N
Return to intelligent terminal.Or Internet of Things server automatically selects the parameter setting of the most air-conditioning of number of users as air-conditioning to be controlled
Parameter setting.Or it is closer according to the distance apart from the air-conditioning to be controlled, shared by the numerical value for searching the operating parameter of air-conditioning
The bigger rule of weight, which calculates, recommends air-conditioning setup parameter Pc, and air-conditioning setup parameter Pc will be recommended to join as the operation of air-conditioning to be controlled
Number.Calculating air-conditioning setup parameter Pc is specially：
Wherein, Pi is the numerical value of i-th air conditioner operation parameters in k platform air-conditionings；
Li is in k platform air-conditionings, and i-th air-conditioning position is at a distance from air-conditioning position Lu to be controlled.
In the present embodiment when selecting K air-conditioning plus timeliness limitation with it is distance weighted.So that air-conditioning is most preferably set can be as early as possible
Climate change is reacted, and study distance as far as possible is closer, the neighbouring air-conditioning parameter with weather reference value.
Specific embodiment is as follows：
1. air conditioner user requires air-conditioning setting to recommend through intelligent control device.
User clicks " recommendation of neighbours' wisdom " function, sets type of recommendation as " temperature ".
The position of intelligent terminal, household electrical appliances identification code are sent to Internet of Things server by intelligent terminal.
2. air-conditioning Internet of Things server searches for air-conditioning nearby.
2.1 more new device locations.
Household electrical appliances identification code ID, user equipment position Lu and current time Tu are recorded in server by Internet of Things server
Database.
The neighbouring k platform air-conditionings of 2.2 search.
Set a time parameter：T.
Since weather is not in having too big difference in 2 hours, set T=2 hours.
Take the air-conditioning equipment inventory Lc for having in nearest 2 hours and carrying out air-conditioning setting.
According to intelligent terminal position Lu, search in Lc inventories, apart from nearest k platform air-conditionings.
In this example, therefore k=4 obtains distance 4 air-conditionings nearest with Lu.
4 air-conditioning inventory Di=[ID1, ID2, ID3, ID4].
The distance of 4 air-conditioning distance Lu is as follows：Li=[L1, L2, L3, L4]=[200m, 500m, 300m, 700m].
3. air-conditioning Internet of Things server calculates optimal comfort setting using distance as weight.
The air-conditioning parameter searched in Di inventories sets Pi.
The parameter Pi can be the air-conditioning ginseng that air-conditioner temperature setting, air quantity setting, humidity set or any user can set
Number setting.Since user is clicking " recommendation of neighbours' wisdom " function, type of recommendation is set as " temperature ".Therefore the Pi in this example
Numerical value is set for the temperature of i-th air-conditioning.According to 4 air-conditioning inventory Di=[ID1, ID2, ID3, ID4], this four skies are inquired
The temperature of tune is set as [P1, P2, P3, P4]=[24,26,28,30].
It calculates and recommends air-conditioning setup parameter Pc.
Pc=[(24/200)+(26/500)+(28/300)+(30/700)]/[(1/200)+(1/500)+(1/300)+
(1/700)]
=0.30819/0.0117616
=26.203.
Therefore, using distance as weight, calculated best recommended temperature is 26.203 degree.
4. air-conditioning Internet of Things server executes and recommends air-conditioning setting.
Pc=26.203.In this example, the temperature Adjustment precision of air-conditioning is 0.5 degree.Therefore Pc is adjusted into essence according to air-conditioning
Degree, takes immediate numerical value 26, and air-conditioner temperature is set as 26 degree.
Embodiment 4, as shown in Fig. 2, the present invention provides a kind of air-conditioner control system based on neighbouring air-conditioning setting study, packet
Include intelligent terminal and Internet of Things service server；
The intelligent terminal is used to air-conditioning position Lu to be controlled being sent to Internet of Things server；
The Internet of Things server is used to search for centered on Lu in preset range or distance Lu predetermined numbers from the near to the remote
The air-conditioning of amount generates air-conditioning candidate list Lc；The parameter setting for obtaining each air-conditioning in air-conditioning candidate list Lc, according to preset reference
Item is counted, and is obtained by sequence or without the statistical result of sequence；The air-conditioning to be controlled is determined according to statistical result
Operating parameter.
Embodiment 5, the present invention provide a kind of air-conditioning, including the air-conditioning based on neighbouring air-conditioning setting study described in embodiment 4
Control system.
In the description of this specification, reference term " embodiment one ", " example ", " specific example " or " some examples "
Deng description mean specific method, device or feature described in conjunction with this embodiment or example be contained in the present invention at least one
In a embodiment or example.In the present specification, schematic expression of the above terms are necessarily directed to identical implementation
Example or example.Moreover, specific features, method, apparatus or the feature of description can be in any one or more embodiments or examples
In can be combined in any suitable manner.In addition, without conflicting with each other, those skilled in the art can will be in this specification
The different embodiments or examples of description and the feature of different embodiments or examples are combined.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all the present invention spirit and
Within principle, any modification, equivalent replacement, improvement and so on should all be included in the protection scope of the present invention.
Claims (23)
1. a kind of air conditioning control method based on neighbouring air-conditioning setting study, which is characterized in that include the following steps：
S1 obtains air-conditioning position Lu to be controlled；
S2, is searched in preset range or the air-conditioning of distance Lu predetermined quantities from the near to the remote centered on Lu, and it is candidate to generate air-conditioning
Inventory Lc；
S3 obtains the parameter setting of each air-conditioning in air-conditioning candidate list Lc, is counted according to preset reference item, obtains by row
Sequence or statistical result without sequence；
S4 determines the operating parameter of the air-conditioning to be controlled according to statistical result.
2. a kind of air conditioning control method based on neighbouring air-conditioning setting study according to claim 1, which is characterized in that S2's
It is implemented as：Centered on Lu, determines preset range by the way that search radius is arranged, search for the air-conditioning in preset range, generate
Air-conditioning candidate list Lc；Alternatively, using Lu as basic point, it is candidate to generate air-conditioning for the air-conditioning of detection range Lu predetermined quantities from the near to the remote
Inventory Lc.
3. a kind of air conditioning control method based on neighbouring air-conditioning setting study according to claim 2, which is characterized in that described
Search radius is set as user's setting value Dp；If the not specified search radius of user, using systematic parameter DS as search radius.
4. a kind of air conditioning control method based on neighbouring air-conditioning setting study according to claim 2, which is characterized in that S2 is also
It is included on the basis of candidate list Lc and carries out following one or more operations, by the conduct candidate list after operation processing：
The identical air-conditioning of air-conditioning type is filtered out, the air-conditioning that nearest preset time period is not keyed up operation is filtered out, is filtered out default recently
There is the air-conditioning for carrying out air-conditioning setting in period.
5. according to a kind of any one of claim 1-4 air conditioning control methods based on neighbouring air-conditioning setting study, feature
It is, preset reference item described in S3 is nearest unit interval electricity consumption, air-conditioning parameter setting is different in nearest preset time period
The number of users of value or the distance of distance Lu.
6. a kind of air conditioning control method based on neighbouring air-conditioning setting study according to claim 5, which is characterized in that work as institute
State preset reference item be nearest unit interval electricity consumption when, S3's is implemented as：The parameter setting of each air-conditioning is obtained, statistics is each
The nearest unit interval electricity consumption of air-conditioning forms statistics inventory Ls by the pre-set parameter and corresponding electricity consumption of each air-conditioning, will unite
Inventory Ls is counted as statistical result.
7. a kind of air conditioning control method based on neighbouring air-conditioning setting study according to claim 6, which is characterized in that also wrap
It includes and arranges the nearest unit interval electricity consumption of each air-conditioning of statistics, statistics is formed by the parameter setting of each air-conditioning arranged
Inventory Ls, statistics inventory Ls=[C1, C2 ... Ci ..., Cn], Ci indicates that nearest unit interval electricity consumption comes the air-conditioning parameter of i
Setting, Ci include at least one of temperature setting, air quantity setting and humidity set.
8. a kind of air conditioning control method based on neighbouring air-conditioning setting study according to claim 7, which is characterized in that also wrap
If including multigroup same parameter setting produces different nearest unit interval electricity consumptions, by two groups of same parameter settings
Merge, specially deletes in same parameter setting compared with power consumption.
9. a kind of air conditioning control method based on neighbouring air-conditioning setting study according to claim 5, which is characterized in that work as institute
Reference items are stated as when the number of users of air-conditioning parameter setting different value, S3's is implemented as in nearest preset time period：It obtains each
The parameter setting of air-conditioning, parameter setting described in air-conditioning is respectively set as the number of users of different numerical value by statistics, by pre-set parameter
Statistics inventory Ls is formed with corresponding number of users, using statistics inventory Ls as statistical result.
10. a kind of air conditioning control method based on neighbouring air-conditioning setting study according to claim 9, which is characterized in that also
Include that system is formed by the numerical value of the parameter setting after arranging according to the numerical value of how much arrangements parameter setting of number of users
Inventory Ls is counted, statistics inventory Ls=[c1, c2 ... cj ..., cn], cj are the numerical value for the parameter setting that number of users comes j, will
Inventory Ls is counted as statistical result.
11. a kind of air conditioning control method based on neighbouring air-conditioning setting study according to claim 10, which is characterized in that also
It, will be away from the time point of air-conditioning setting closely to remote sequence if having identical number of users including the parameter setting difference numerical value
Current time is close to be arranged in front.
12. a kind of air conditioning control method based on neighbouring air-conditioning setting study according to claim 5, which is characterized in that when
When the reference items are the distance of distance Lu, S3's is implemented as：Obtain the parameter setting of each air-conditioning, statistics candidate list Lc
In each air-conditioning distance Lu distance value, by pre-set parameter and corresponding distance value form statistics inventory Ls, will count inventory Ls
As statistical result.
13. according to a kind of air conditioning control method based on neighbouring air-conditioning setting study described in claim 12, which is characterized in that also
Include the numerical value for arranging the parameter setting according to the distance of distance, statistics is formed by the numerical value of the parameter setting after arranging
Inventory Ls, statistics inventory Ls=[c1, c2 ... cx ..., cn], cx are the numerical value for the parameter setting that distance value comes x, will be united
Inventory LS is counted as statistical result.
14. according to a kind of air conditioning control method based on neighbouring air-conditioning setting study described in claim 12, which is characterized in that also
Include the best setting for calculating air-conditioning according to statistical result according to preset algorithm, regard the best setting as the air-conditioning to be controlled
Operating parameter, will most preferably set as statistical result.
15. according to a kind of air conditioning control method based on neighbouring air-conditioning setting study described in claim 14, which is characterized in that root
It is closer according to the distance apart from the air-conditioning to be controlled, it searches the bigger rule of weight shared by the numerical value of the operating parameter of air-conditioning and calculates
Recommend air-conditioning to set Pc, air-conditioning setting Pc will be recommended as the operating parameter of air-conditioning to be controlled, air-conditioning setting Pc will be recommended as system
Count result.
16. according to a kind of air conditioning control method based on neighbouring air-conditioning setting study described in claim 15, which is characterized in that meter
Calculating air-conditioning setup parameter Pc is specially：
Wherein, P i are the numerical value of i-th air conditioner operation parameters in k platform air-conditionings；
L i are in k platform air-conditionings, and i-th air-conditioning position is at a distance from air-conditioning position Lu to be controlled.
17. a kind of air conditioning control method based on neighbouring air-conditioning setting study according to claim 5, which is characterized in that institute
It states the air-conditioning parameter in nearest preset time period and is set as temperature setting, air quantity setting or humidity set.
18. according to a kind of any one of claim 1-4 air conditioning control methods based on neighbouring air-conditioning setting study, feature
It is, S4's is implemented as：
It by process sequence or is sent to intelligent terminal without the statistical result of sequence to show, by user from statistical result
The air-conditioning selected sets the operating parameter as the air-conditioning to be controlled；
Alternatively, Internet of Things server will be automatically selected according to preset rules from by sequence or the statistical result without sequence
Air-conditioning set operating parameter as the air-conditioning to be controlled.
19. according to a kind of air conditioning control method based on neighbouring air-conditioning setting study described in claim 18, which is characterized in that
Before statistical result is returned to intelligent terminal, the data volume of Internet of Things server setting statistics inventory will arrange top N
Data return to intelligent terminal；
The preset rules are optimum selecting, are to be run automatic be used as arranging optimal to bad arrangement by excellent by statistical result
Parameter.
20. according to a kind of any one of claim 1-4 air conditioning control methods based on neighbouring air-conditioning setting study, feature
It is, S1's is implemented as：The device id of air-conditioning to be controlled and intelligent terminal position are sent to object by intelligent terminal
Networked server, using intelligent terminal position as the air-conditioning position Lu to be controlled, Internet of Things server is by equipment I
D, air-conditioning position Lu and current time Tu to be controlled are recorded in server database.
21. according to a kind of any one of claim 1-4 air conditioning control methods based on neighbouring air-conditioning setting study, feature
It is, S1-S4 is utilized into programming automation, S1-S4 is executed automatically according to preset period of time, automatically controls air-conditioning setting.
22. a kind of air-conditioner control system based on neighbouring air-conditioning setting study, including intelligent terminal and Internet of Things service server,
It is characterized in that, for realizing claim 1-21 any one of them air conditioning control methods；
The intelligent terminal is used to air-conditioning position Lu to be controlled being sent to Internet of Things server；
The Internet of Things server centered on Lu for being searched in preset range or distance Lu predetermined quantity from the near to the remote
Air-conditioning generates air-conditioning candidate list Lc；The parameter setting for obtaining each air-conditioning in air-conditioning candidate list Lc, according to preset reference item into
Row statistics is obtained by sequence or without the statistical result of sequence；The operation of the air-conditioning to be controlled is determined according to statistical result
Parameter.
23. a kind of air-conditioning, which is characterized in that including the airconditioning control system based on neighbouring air-conditioning setting study described in claim 22
System.
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| CN106152426B (en) * | 2016-09-06 | 2019-03-22 | 珠海格力电器股份有限公司 | Air conditioning control method and device |
| CN108063701B (en) * | 2016-11-08 | 2020-12-08 | 华为技术有限公司 | Method and device for controlling intelligent equipment |
| CN106713466A (en) * | 2016-12-28 | 2017-05-24 | 上海庆科信息技术有限公司 | Intelligent clothes washing system, cloud server, and communication module based on Internet of Things |
| CN107388479B (en) * | 2017-06-22 | 2019-10-18 | 珠海格力电器股份有限公司 | A kind of air conditioning control method, device and air-conditioning |
| CN107402558A (en) * | 2017-08-16 | 2017-11-28 | 深圳市启惠智能科技有限公司 | A kind of apparatus control method and system |
| CN107726548B (en) * | 2017-09-30 | 2020-08-14 | 广东美的制冷设备有限公司 | Air conditioner control method, electronic device, and computer-readable storage medium |
| CN108302713B (en) * | 2018-01-02 | 2020-04-21 | 广东美的制冷设备有限公司 | Air conditioner setting quick adjustment method, air conditioner and readable storage medium |
| CN110360732B (en) * | 2018-04-03 | 2020-12-08 | 青岛海尔空调电子有限公司 | Method and device for controlling air conditioning system and computer readable storage medium |
| CN109323375B (en) * | 2018-09-13 | 2021-09-21 | 广东美的制冷设备有限公司 | Air conditioner and function sharing method and device of air conditioner |
| CN109323417B (en) * | 2018-09-30 | 2021-05-25 | 广东美的制冷设备有限公司 | Air conditioner and control method and device thereof |
| CN109373526A (en) * | 2018-10-08 | 2019-02-22 | 青岛海尔空调电子有限公司 | The method, apparatus and computer storage medium that air-conditioning Outdoor Air Parameters determine |
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| CN109974248B (en) * | 2019-04-01 | 2020-08-11 | 珠海格力电器股份有限公司 | Control method of air conditioner and air conditioner operation system |
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