CN110513835A - Improve control method, device and the air-conditioning of air conditioning comfortableness - Google Patents
Improve control method, device and the air-conditioning of air conditioning comfortableness Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
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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
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/10—Occupancy
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Abstract
The present invention relates to a kind of control method, equipment and air-conditionings for improving air conditioning comfortableness, this method comprises: obtaining user individual data and environmental data；According to the comfort prediction model and user individual data and environmental data prestored, the preliminary comfort parameter of each user is obtained；When current indoor is multiple target user, the precedence information of each user is determined according to the user's hierarchy model and user individual data that prestore, and preliminary comfort parameter is modified according to precedence information, obtain primary revised comfort parameter；Final comfort parameter is determined according to primary revised comfort parameter, and operation of air conditioner is controlled according to final comfort parameter.Technical solution provided by the invention in the case where capable of having indoors multiple target user, balances the comfort demand of different user, on the basis of user's classification, multiple target user's comfort demand can be made to be taken into account and be balanced.
Description
Technical field
The present invention relates to air conditioner intelligent control technology fields, and in particular to it is a kind of improve air conditioning comfortableness control method,
Device and air-conditioning.
Background technique
Air-conditioning is just penetrating into each corner of life as a kind of industrial product for improving people's quality of life.Air tune
Section is also known as air conditioning, abbreviation air-conditioning.With temperature, humidity, cleanliness and the air flow method of artificial method processing room air
Technology.Certain places can be made to obtain the air with certain temperature and certain humidity, to meet user and production process
It is required that and improving labour health and indoor climate condition.
The quality of air conditioning comfortableness directly affects user to the quality of product evaluation.Most of air-conditioning all claims tool in the market
It is standby to improve comfortable sexual function, but during actual use, it is ineffective.
In the related technology, it in terms of improving air conditioning comfortableness experience, generally uses real-time detection indoor environment temperature and sets
The mode for setting threshold value is accordingly adjusted the threshold value comparison of the indoor environment temperature of real-time detection and setting according to comparison result
Whole, Adjusted Option is usually to be set according to expertise, alternatively, comfortable sexual norm is fed back by user itself.
But as the multiple users of indoor appearance, since user's individual has differences, the above method can not be distinguished multi-purpose
Family use demand, it is unsatisfactory on the total satisfactory grade of multi-user.
Summary of the invention
To be overcome the problems, such as present in the relevant technologies at least to a certain extent, it is comfortable that the present invention provides a kind of raising air-conditioning
Control method, device and the air-conditioning of property.
According to a first aspect of the embodiments of the present invention, a kind of control method improving air conditioning comfortableness is provided, comprising:
Obtain user individual data and environmental data；
According to the comfort prediction model and the user individual data that prestore and the environmental data, obtain each
The preliminary comfort parameter of user；
It is true according to the user's hierarchy model and the user individual data that prestore when current indoor is multiple target user
The precedence information of fixed each user, and, the preliminary comfort parameter is modified according to the precedence information,
Obtain primary revised comfort parameter；
Final comfort parameter is determined according to the primary revised comfort parameter, and is relaxed according to described final
Adaptive parameter controls operation of air conditioner.
It is preferably, described that final comfort parameter is determined according to the primary revised comfort parameter, comprising:
The primary revised comfort parameter is determined as final comfort parameter；Alternatively,
User is obtained to the real-time feedback data of environment, and according to the real-time feedback data and described primary revised
Comfort parameter obtains the comfort parameter after second-order correction, the comfort parameter after the second-order correction is determined as final
Comfort parameter.
Preferably, described that the preliminary comfort parameter is modified according to the precedence information, it obtains primary
Revised comfort parameter, comprising:
The rate of specific gravity of the comfort of each user relative to the comfort of all users is calculated according to the precedence information；
According to the preliminary comfort parameter of rate of specific gravity corresponding to the comfort of each user and each user, with
And comfort parameter to be calculated constructs objective function；
Optimization is carried out to the objective function, objective function comfort parameter corresponding when optimal is determined as
Primary revised comfort parameter.
Preferably, the user's hierarchy model and the user individual data that the basis prestores determine that each user's is excellent
First grade information, comprising:
According to the user's hierarchy model prestored, user is grouped in each level and each grouping is arranged
Sequence；
The precedence information of each user is determined according to ranking results.
Preferably, the control method, further includes:
When current indoor is single goal user, the preliminary comfort parameter of single goal user is determined as once correcting
Comfort parameter afterwards.
Preferably, the real-time feedback data is the comfort parameter of user feedback, described according to the Real-time Feedback number
The comfort parameter after second-order correction is obtained according to the once revised comfort parameter, comprising:
Calculate the difference between the last moment final comfort parameter used of record and the real-time feedback data；
Summation is weighted to the difference and the primary revised comfort parameter, weighted sum value is determined as
Comfort parameter after second-order correction.
Preferably, the weighted value used when the weighted sum is pre-set fixed value, and corresponding to the difference
Weighted value be greater than weighted value corresponding to the primary revised comfort parameter.
Preferably, the comfort parameter includes at least one in following item:
Compressor rotary speed, wind speed, expansion valve opening regulated value.
According to a second aspect of the embodiments of the present invention, a kind of control device improving air conditioning comfortableness is provided, comprising:
Module is obtained, for obtaining user individual data and environmental data；
Comfort parameter tentatively obtains module, for according to the comfort prediction model and the user individual number prestored
Accordingly and the environmental data, the preliminary comfort parameter of each user is obtained；
Comfort parameters revision module, for being classified mould according to the user prestored when current indoor is multiple target user
Type and the user individual data determine the precedence information of each user, and, according to the precedence information to described
Preliminary comfort parameter is modified, and obtains primary revised comfort parameter；
Control module, for determining final comfort parameter, and root according to the primary revised comfort parameter
Operation of air conditioner is controlled according to the final comfort parameter.
Preferably, the control module is specifically used for:
The primary revised comfort parameter is determined as final comfort parameter；Alternatively,
User is obtained to the real-time feedback data of environment, and according to the real-time feedback data and described primary revised
Comfort parameter obtains the comfort parameter after second-order correction, the comfort parameter after the second-order correction is determined as final
Comfort parameter.
According to a third aspect of the embodiments of the present invention, a kind of air-conditioning is provided, comprising:
Processor；
Memory for storage processor executable instruction；
Wherein, the processor is configured to:
Obtain user individual data and environmental data；
According to the comfort prediction model and the user individual data that prestore and the environmental data, obtain each
The preliminary comfort parameter of user；
It is true according to the user's hierarchy model and the user individual data that prestore when current indoor is multiple target user
The precedence information of fixed each user, and, the preliminary comfort parameter is modified according to the precedence information,
Obtain primary revised comfort parameter；
Final comfort parameter is determined according to the primary revised comfort parameter, and is relaxed according to described final
Adaptive parameter controls operation of air conditioner.
The technical solution that the embodiment of the present invention provides can include the following benefits:
Technical solution provided by the invention, according to the user individual data got, by user's hierarchy model to room
Interior multiple target user is classified, and according to the obtained precedence information of classification to the preliminary comfort parameter of multiple target user
It is modified, so that the comfort demand of multiple target user is the considerations of foundation obtains different specific weight with precedence information, thus
Differentiated demand of indoor multiple target user during using air-conditioning is taken into account.The present invention, which takes into account, considers different user
Interests can make multiple target user's comfort demand be taken into account and be balanced on the basis of user's classification.
It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not
It can the limitation present invention.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows and meets implementation of the invention
Example, and be used to explain the principle of the present invention together with specification.
Fig. 1 is a kind of flow chart of control method for improving air conditioning comfortableness shown according to an exemplary embodiment；
Fig. 2 is a kind of flow chart of the control method of the raising air conditioning comfortableness shown according to another exemplary embodiment；
Fig. 3 is a kind of process step of the control method of the raising air conditioning comfortableness shown according to another exemplary embodiment
Block diagram；
Fig. 4 is a kind of schematic block diagram of control equipment for improving air conditioning comfortableness shown according to an exemplary embodiment.
Specific embodiment
Example embodiments are described in detail here, and the example is illustrated in the accompanying drawings.Following description is related to
When attached drawing, unless otherwise indicated, the same numbers in different drawings indicate the same or similar elements.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistented with the present invention.On the contrary, they be only with it is such as appended
The example of device and method being described in detail in claims, some aspects of the invention are consistent.
Fig. 1 is a kind of flow chart of control method for improving air conditioning comfortableness shown according to an exemplary embodiment, such as
Shown in Fig. 1, method includes the following steps:
Step S11, user individual data and environmental data are obtained；
Step S12, the comfort prediction model and the user individual data and the environmental data that basis prestores,
Obtain the preliminary comfort parameter of each user；
Step S13, when current indoor is multiple target user, according to the user's hierarchy model and the user personality prestored
Change the precedence information that data determine each user, and, according to the precedence information to the preliminary comfort parameter
It is modified, obtains primary revised comfort parameter；
Step S14, the primary revised comfort parameter is determined as final comfort parameter, and according to described
Final comfort parameter controls operation of air conditioner.
Preferably, the comfort parameter includes at least one in following item:
Compressor rotary speed, wind speed, expansion valve opening regulated value.
It should be noted that the environmental data data include but is not limited to: indoor environment data and outdoor environment data,
Such as temperature, humidity, wind speed, air quality of indoor and outdoor etc.；The environmental data data can be from being mounted on indoor and outdoor
The equipment such as Temperature Humidity Sensor, air velocity transducer, air quality detector obtain.
The user individual data include but is not limited to user attribute data and user's real time data, wherein user belongs to
Property data include but is not limited to: user's height, weight, gender, the age, constitution (such as whether for pregnant woman, whether belong to cold body
Matter), health status, occupation etc.；User's real time data includes but is not limited to: real time kinematics amount, users'comfort Real-time Feedback number
According to etc..
The user individual data can by intelligent terminal, users personal data api interface, public information platform,
Intelligence wearing terminal or smart home system etc. obtain.
By taking intelligent terminal as an example, user individual data that user inputs oneself by intelligent terminal or user are to intelligence
Can authorization terminal, intelligent terminal from the wechat system of networking, QQ system, social security sector, local police station the societies such as census register management system
Platform or subscriber information management platform is handed over to obtain user individual data.
Wherein, the intelligent terminal includes but is not limited to the intelligent distant control of mobile phone, tablet computer, laptop, air-conditioning
Embedded intelligence on device and air-conditioning controls computer.
Preferably, the data that the step S11 is obtained further include internet auxiliary data, the internet auxiliary data packet
Include but be not limited to: which the user individual data obtained from internet are big to user's comfort influence degree, obtain from internet
The comfort parameter recommending data of the different crowd taken, comfort prediction model data etc..The internet auxiliary data is main
It is used to help user and establishes comfort prediction model and user's hierarchy model.
In the step S12, the comfort prediction model prestored pre-establishes completion.Comfort prediction model can be with
It is established and is completed by training by training module, training module can be deployed in cloud server or local high-performance calculation intelligent terminal
On.The main method of model training includes but is not limited to: BP (Back Propagation, reverse phase are propagated) neural network, residual error
Network, RNN neural network (Recurrent Neural Networks, Recognition with Recurrent Neural Network), intensified learning etc..
The input of comfort prediction module is mainly user individual data and environmental data, is exported as comfort parameter,
In the training stage, a large amount of user individual data and environmental data and corresponding comfort parameter can be collected, by upper
The training of the training methods such as the neural network stated obtains comfort prediction model.When collecting data, user individual data and environment
Data and corresponding comfort parameter can be existing empirical data, alternatively, can also be true by internet auxiliary data
It is fixed.
After model training is stablized, the related data of model training can be carried out to remote backup and periodic synchronization updates, prevented
Only model training occurs abnormal, and model prediction is caused to be collapsed.
It is understood that the specific training method of comfort prediction model may refer to prior art, herein no longer in detail
It states.
After the completion of model training, which can be applied to forecast period, forecast period can be complete by prediction module
At, that is, comfort prediction model is stored in prediction module, the input data of model prediction is mainly real-time user individual
Data and environmental data, export as comfort parameter, and the comfort parameter of the output is properly termed as the preliminary comfort of user
Parameter.
In the step S13, interior is multiple target user or single goal user, can be sentenced according to the prior art
It is disconnected, such as can be by installing infrared human body detection device or image collecting device indoors, in conjunction with motion target tracking
Technology judges that current indoor is single goal user or multiple target user.Since the technology is the prior art, not in the present invention
Protection scope in, therefore details are not described herein.
In addition, since the user individual data obtained in step S11 all have user property, it can also be according to acquisition
To user individual data belonging to number of users carry out judging that current indoor is single goal user or multiple target user.
In step s 13, if current indoor is single goal user, the preliminary comfort parameter of single goal user is direct
It is determined as primary revised comfort parameter, without first determining the precedence information of single goal user, further according to described excellent
First grade information is modified the preliminary comfort parameter of single goal user.
In step s 13, if current indoor is multiple target user, the priority of each user is first determined according to following steps
Information:
The precedence information of each user is determined according to the user's hierarchy model and the user individual data that prestore, is wrapped
It includes:
According to the user's hierarchy model prestored, user is grouped in each level and each grouping is arranged
Sequence；
The precedence information of each user is determined according to ranking results.
For example, interior shares 6 users, indicated respectively with A, B, C, D, E, F, the user individual data of each user are such as
Shown in table 1:
Table 1
| User | User individual data |
| A | Age 67, gender male have rheumatism, cold, standing cryogenic temperature: 27~29 DEG C ... |
| B | At the age 60, gender female is cold, sets up cryogenic temperature: 26~29 DEG C ... |
| C | At the age 38, gender male, To Be Protected from Heat, standing cryogenic temperature: 24~26 DEG C ... |
| D | At the age 36, gender female, pregnancy, To Be Protected from Heat, standing cryogenic temperature: 26~27 DEG C ... |
| E | At the age 15, gender female, To Be Protected from Heat, standing cryogenic temperature: 22~25 DEG C |
| F | At the age 12, gender male, To Be Protected from Heat, standing cryogenic temperature: 23~27 DEG C |
Table 2
Wherein, user's hierarchy model can define group basis and sort by each level, therefore, according to user
Hierarchy model can be grouped and sort to user.
For example, the group basis in user's hierarchy model in defined first level is related to physical condition according to constitution
Parameter be grouped, design parameter include table 1 age, whether special constitution (it is such as cold, air-conditioning in most cases using system
Cold mode), whether ill (if any rheumatism), whether be pregnant (as be pregnant) these three parameters, in the first level by the age compared with
Big cold, ill and pregnancy people is divided into one group, remaining people is divided into another group, then as shown in Table 2, in first layer
User is divided into special population and general population in grade, special population includes A, B, D, and general population includes C, E, F.In addition,
The sequence according to priority from high to low can also be defined in user's hierarchy model, before special population is arranged in general population
Face, then in the first level, this packet sequencing of A, B, D is before this grouping of C, E, F.It is understood that each level
The people of upper each packets inner is without sequence, for example, A, B, D do not sort in the first level.
Similar, it is assumed that it is determined in the second level corresponding to this user group of special population according to user's hierarchy model
Group basis and sort by are: ill and pregnancy and people being divided into one group, remaining people is divided into another group, and ill and pregnancy
People sorts before remaining people, then referring to table 2, user can be divided into the second level corresponding to this user group of special population
A, mono- group of D, mono- group of B, and A, D sequence are before B.
The rest may be inferred, if the user of a grouping is more than one, continues to be grouped the grouping, until every group
There is a user.For example, this grouping of corresponding A, D, it is assumed that be according to next level that user's hierarchy model obtains this grouping
Be divided into one group for ill, remaining is divided into one group, and ill sequence is preceding, then referring to table 2, corresponding A, D this grouping it is next
Level is divided into mono- group of A, and mono- group of D, and A sequence is before D.
It is similar, corresponding C, E, F, it is assumed that according to user's hierarchy model, next level of C, E, F are small to be divided into the age
One group, remaining is another, and age small sequence is preceding, then referring to table 2, next level of C, E, F are mono- group of E, F, mono- group of C,
And E, F sequence are before C.
Similar, it is assumed that according to user's hierarchy model, next level of E, F are to divide by gender, and women sequence is in male
Property before, then next level of E, F are mono- group of E referring to table 2, mono- group of F, and E sequence is before F.
After sequence, the precedence information of each user can be determined according to whole ranking results, for example, according to row
Sequence result determines the priority of each user, carries out ascending order arrangement further according to priority, the sequence number after ascending order is arranged determines
For the precedence information of each user.
For example, whole ranking results are to be according to the sequence of priority from high to low by above-mentioned sequence: A > D > B > E >
F > C, then be when carrying out ascending order arrangement according to priority: C, F, E, B, D, A, corresponding sequence number is: it be 2, E is 3, B that C, which is 1, F,
It is 4, D be 5, A is 6, that is, the precedence information of this 6 users of A, B, C, D, E, F is respectively: 6,4,1,5,3,2.
In step s 13, if current indoor is multiple target user, multiple target user is obtained according to following steps and is once corrected
Comfort parameter afterwards:
The rate of specific gravity of the comfort of each user relative to the comfort of all users is calculated according to the precedence information；
According to the preliminary comfort parameter of rate of specific gravity corresponding to the comfort of each user and each user, with
And comfort parameter to be calculated constructs objective function；
Optimization is carried out to the objective function, objective function comfort parameter corresponding when optimal is determined as
Primary revised comfort parameter.
The rate of specific gravity of the comfort of each user relative to the comfort of all users is calculated according to the precedence information,
Specific formula are as follows:
Wherein, RankuFor the sequence number of the priority ranking of user u, m is that user is total
Number.If than current indoor or A, B, C, D, E, F above-mentioned this six target users, then m=6.
According to formulaConstruct objective function R, wherein g (Datau) it is to use
Family u preliminary comfort parameter,For comfort parameter to be calculated；
Optimization is carried out to the objective function R, for example minimum solution is carried out to R, is i.e. progress argminR fortune
It calculates, by objective function R comfort parameter corresponding when optimalIt is determined as primary revised comfort parameter.
It should be noted that optimization is carried out to objective function R, it can be by preset swarm intelligence heuritic approach
It is solved, the default swarm intelligence heuritic approach includes but is not limited to: genetic algorithm, particle swarm algorithm, simulated annealing
Algorithm and the calculation etc. that leapfrogs.Because how to carry out optimization to objective function R is the prior art, it is not belonging to what the present invention protected
Range, so details are not described herein.
Fig. 2 is a kind of flow chart of the control method of the raising air conditioning comfortableness shown according to another exemplary embodiment,
Fig. 3 is the process step frame diagram of control method shown in Fig. 2；As shown in Figures 2 and 3, method includes the following steps:
Step S21, user individual data and environmental data are obtained；
Step S22, the comfort prediction model and the user individual data and the environmental data that basis prestores,
Obtain the preliminary comfort parameter of each user；
Step S23 judges that current indoor is single goal user or multiple target user, if single goal user executes step
S24, it is no to then follow the steps S25；
Step S24: using the preliminary comfort parameter of single goal user as the primary revised easypro of single goal user
Adaptive parameter, executes S26 later；
Step S25, determine that each user's is preferential according to the user's hierarchy model and the user individual data that prestore
Grade information, and, the preliminary comfort parameter is modified according to the precedence information, is obtained primary revised
Comfort parameter, executes S26 later；
Step S26, user is obtained to the real-time feedback data of environment, and according to the real-time feedback data and described primary
Revised comfort parameter obtains the comfort parameter after second-order correction, and the comfort parameter after the second-order correction is determined
For final comfort parameter.
It is understood that Fig. 2, compared to a kind of control method for improving air conditioning comfortableness shown in FIG. 1, the main distinction exists
In: control method shown in Fig. 2 increases the process to comfort parameter second-order correction.Therefore, control method shown in Fig. 2
Other than the beneficial effect with control method described in Fig. 1, additionally it is possible to realize that the closed loop of air conditioning comfortableness parameter is adjusted, Neng Gouji
When respond user feedback, more accurately meet the comfort demand of multiple target user, be bonded user's actual experience.
It should be noted that real-time feedback data of the user to environment, including but not limited to: wind speed, temperature, wet
The data such as degree, wind speed direction；Obtain user to the mode of the real-time feedback data of environment, including but not limited to: distant by air-conditioning
Control device, the embedded intelligence computer on air-conditioning, the adjustment of the comfort parameter on air-conditioning button, computer, mobile phone with air-conditioning networking
Deng.
After user is obtained to the real-time feedback data of environment, real-time feedback data can be converted to compressor rotary speed, wind
The data such as speed, expansion valve opening regulated value carry out second-order correction to primary revised comfort parameter, after obtaining second-order correction
Comfort parameter.
In order to make it easy to understand, current formula illustration is as follows:
Assuming that current time is t, it is in the primary revised comfort parameter that t moment obtainsIt is used in t moment
Family is to the real-time feedback data of environmentBecause there is the characteristic of a delay lag in the process of running in air-conditioning, from
To another state, there are the delays of time for one state change, therefore the real-time feedback data of user is used under Last status
The feedback data to environment at family.Because of short duration " memory is dry there are one to current state for data under Last status
Disturb ", the real-time feedback data of user is the feedback to Last status.
Assuming that the comfort parameter of currently practical execution isThe comfort parameter expression then actually executed can
By write as it is following in the form of:
As λ=0,When being as switched on, the real-time feedback data of current no user, air-conditioning is according to upper
The primary revised comfort parameter of one stateOperation；
As λ=1,Air-conditioning carries out an of short duration time delay according to Last status
After export, then shut down.
Preferably, weighted value λ and the 1- λ used when the weighted sum is pre-set fixed value, and the difference
Corresponding weighted value λ is greater than weighted value 1- λ corresponding to the primary revised comfort parameter.
Under normal circumstances, λ is set as preset parameter, in order to avoid there is the bounce of step evolution in a short time in air-conditioning output,
Human body is caused to be not suitable with, λ should take a biggish fixed value.As can be seen from the above formula that when λ takes a biggish value
When, formula is able to maintain certain memory effect.
It is fixed as the number of a little Yu 1 when λ takes, air-conditioning can keep Last status in a position-stable manner in each state
Certain characteristics of operation, but this fixed form can also be changed to the variable of elasticity, current specific ring adaptive at any time
Border.Such as:
Wherein, rand (0,0.5) indicates the number generated at random in [0,0.5]；1-max(0.25,rand(0,0.5))
The λ being equivalent in above formula, max (0.25, rand (0,0.5)) are equivalent to the 1- λ in above formula.By way of generating at random, by λ
Become the number that range is [0.5,0.75] from a biggish fixed value.
Fig. 4 is a kind of schematic block of control device 100 for improving air conditioning comfortableness shown according to an exemplary embodiment
Figure.Referring to Fig. 4, which includes:
Module 101 is obtained, for obtaining user individual data and environmental data；
Comfort parameter tentatively obtains module 102, for according to the comfort prediction model and the user personality prestored
Change data and the environmental data, obtains the preliminary comfort parameter of each user；
Comfort parameters revision module 103, for being classified according to the user prestored when current indoor is multiple target user
Model and the user individual data determine the precedence information of each user, and, according to the precedence information to institute
It states preliminary comfort parameter to be modified, obtains primary revised comfort parameter；
Control module 104, for determining final comfort parameter according to the primary revised comfort parameter, and
Operation of air conditioner is controlled according to the final comfort parameter.
Preferably, the control module 104 is specifically used for:
The primary revised comfort parameter is determined as final comfort parameter；Alternatively,
User is obtained to the real-time feedback data of environment, and according to the real-time feedback data and described primary revised
Comfort parameter obtains the comfort parameter after second-order correction, the comfort parameter after the second-order correction is determined as final
Comfort parameter.
It should be noted that the control device for this raising air conditioning comfortableness that the present embodiment provides, modules are in reality
It is referred in existing mode aforementioned to each process step in the control method shown in fig. 1 or fig. 2 for improving air conditioning comfortableness
It illustrates, details are not described herein.
It is understood that this control device for improving air conditioning comfortableness provided in this embodiment, according to what is got
User individual data are classified indoor multiple target user by user's hierarchy model, and according to classification obtain it is preferential
Grade information is modified the preliminary comfort parameter of multiple target user, so that the comfort demand of multiple target user is with preferential
Grade information is according to the considerations of obtaining different specific weight, to take into account difference of indoor multiple target user during using air-conditioning
Alienation demand.The present invention takes into account the interests for considering different user, on the basis of user's classification, multiple target user can be made to relax
Adaptive demand is taken into account and is balanced.
In addition, a kind of air-conditioning shown according to an exemplary embodiment, comprising:
Processor；
Memory for storage processor executable instruction；
Wherein, the processor is configured to:
Obtain user individual data and environmental data；
According to the comfort prediction model and the user individual data that prestore and the environmental data, obtain each
The preliminary comfort parameter of user；
It is true according to the user's hierarchy model and the user individual data that prestore when current indoor is multiple target user
The precedence information of fixed each user, and, the preliminary comfort parameter is modified according to the precedence information,
Obtain primary revised comfort parameter；
Final comfort parameter is determined according to the primary revised comfort parameter, and is relaxed according to described final
Adaptive parameter controls operation of air conditioner.
It is understood that this air-conditioning provided in this embodiment, can lead to according to the user individual data got
It crosses user's hierarchy model to be classified indoor multiple target user, and the precedence information obtained according to classification is to multiple target user
Preliminary comfort parameter be modified so that the comfort demand of multiple target user is according to obtaining not with precedence information
The considerations of with specific gravity, to take into account differentiated demand of indoor multiple target user during using air-conditioning.The present invention is simultaneous
The interests for considering different user are cared for, on the basis of user's classification, multiple target user's comfort demand can be made to be taken into account
And balance.
It is understood that same or similar part can mutually refer in the various embodiments described above, in some embodiments
Unspecified content may refer to the same or similar content in other embodiments.
It should be noted that in the description of the present invention, term " first ", " second " etc. are used for description purposes only, without
It can be interpreted as indication or suggestion relative importance.In addition, in the description of the present invention, unless otherwise indicated, the meaning of " multiple "
Refer at least two.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes
It is one or more for realizing specific logical function or process the step of executable instruction code module, segment or portion
Point, and the range of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discussed suitable
Sequence, including according to related function by it is basic simultaneously in the way of or in the opposite order, Lai Zhihang function, this should be of the invention
Embodiment person of ordinary skill in the field understood.
It should be appreciated that each section of the invention can be realized with hardware, software, firmware or their combination.Above-mentioned
In embodiment, software that multiple steps or method can be executed in memory and by suitable instruction execution system with storage
Or firmware is realized.It, and in another embodiment, can be under well known in the art for example, if realized with hardware
Any one of column technology or their combination are realized: having a logic gates for realizing logic function to data-signal
Discrete logic, with suitable combinational logic gate circuit specific integrated circuit, programmable gate array (PGA), scene
Programmable gate array (FPGA) etc..
Those skilled in the art are understood that realize all or part of step that above-described embodiment method carries
It suddenly is that relevant hardware can be instructed to complete by program, the program can store in a kind of computer-readable storage medium
In matter, which when being executed, includes the steps that one or a combination set of embodiment of the method.
It, can also be in addition, each functional unit in each embodiment of the present invention can integrate in a processing module
It is that each unit physically exists alone, can also be integrated in two or more units in a module.Above-mentioned integrated mould
Block both can take the form of hardware realization, can also be realized in the form of software function module.The integrated module is such as
Fruit is realized and when sold or used as an independent product in the form of software function module, also can store in a computer
In read/write memory medium.
Storage medium mentioned above can be read-only memory, disk or CD etc..
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
Centainly refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any
One or more embodiment or examples in can be combined in any suitable manner.
Although the embodiments of the present invention has been shown and described above, it is to be understood that above-described embodiment is example
Property, it is not considered as limiting the invention, those skilled in the art within the scope of the invention can be to above-mentioned
Embodiment is changed, modifies, replacement and variant.
Claims (10)
1. a kind of control method for improving air conditioning comfortableness characterized by comprising
Obtain user individual data and environmental data；
According to the comfort prediction model and the user individual data that prestore and the environmental data, each user is obtained
Preliminary comfort parameter；
When current indoor is multiple target user, determined according to the user's hierarchy model prestored and the user individual data every
The precedence information of a user, and, the preliminary comfort parameter is modified according to the precedence information, is obtained
Primary revised comfort parameter；
Final comfort parameter is determined according to the primary revised comfort parameter, and according to the final comfort
Parameter controls operation of air conditioner.
2. control method according to claim 1, which is characterized in that described to be joined according to the primary revised comfort
Number determines final comfort parameter, comprising:
The primary revised comfort parameter is determined as final comfort parameter；Alternatively,
User is obtained to the real-time feedback data of environment, and according to the real-time feedback data and described primary revised comfortable
Property parameter obtains the comfort parameter after second-order correction, the comfort parameter after the second-order correction is determined as final comfortable
Property parameter.
3. control method according to claim 1, which is characterized in that it is described according to the precedence information to described preliminary
Comfort parameter be modified, obtain primary revised comfort parameter, comprising:
The rate of specific gravity of the comfort of each user relative to the comfort of all users is calculated according to the precedence information；
According to the preliminary comfort parameter of rate of specific gravity corresponding to the comfort of each user and each user, and to
The comfort parameter of calculating constructs objective function；
Optimization is carried out to the objective function, objective function comfort parameter corresponding when optimal is determined as once
Revised comfort parameter.
4. control method according to claim 1, which is characterized in that user's hierarchy model that the basis prestores and described
User individual data determine the precedence information of each user, comprising:
According to the user's hierarchy model prestored, user is grouped in each level and each grouping is ranked up；
The precedence information of each user is determined according to ranking results.
5. control method according to claim 1, which is characterized in that further include:
When current indoor is single goal user, the preliminary comfort parameter of single goal user is determined as primary revised
Comfort parameter.
6. control method according to claim 2, which is characterized in that the real-time feedback data is the comfortable of user feedback
Property parameter, it is described according to the real-time feedback data and the primary revised comfort parameter obtains relaxing after second-order correction
Adaptive parameter, comprising:
Calculate the difference between the last moment final comfort parameter used of record and the real-time feedback data；
Summation is weighted to the difference and the primary revised comfort parameter, weighted sum value is determined as secondary
Revised comfort parameter.
7. control method according to claim 6, which is characterized in that the weighted value used when the weighted sum is preparatory
The fixed value of setting, and weighted value corresponding to the difference is greater than power corresponding to the primary revised comfort parameter
Weight values.
8. control method according to claim 1, which is characterized in that the comfort parameter include in following item at least
One:
Compressor rotary speed, wind speed, expansion valve opening regulated value.
9. a kind of control device for improving air conditioning comfortableness characterized by comprising
Module is obtained, for obtaining user individual data and environmental data；
Comfort parameter tentatively obtains module, for according to the comfort prediction model that prestores and the user individual data with
And the environmental data, obtain the preliminary comfort parameter of each user；
Comfort parameters revision module, for when current indoor is multiple target user, according to user's hierarchy model for prestoring and
The user individual data determine the precedence information of each user, and, according to the precedence information to described preliminary
Comfort parameter be modified, obtain primary revised comfort parameter；
Control module, for determining final comfort parameter according to the primary revised comfort parameter, and according to institute
Final comfort parameter is stated to control operation of air conditioner.
10. a kind of air-conditioning characterized by comprising
Processor；
Memory for storage processor executable instruction；
Wherein, the processor is configured to:
Obtain user individual data and environmental data；
According to the comfort prediction model and the user individual data that prestore and the environmental data, each user is obtained
Preliminary comfort parameter；
When current indoor is multiple target user, determined according to the user's hierarchy model prestored and the user individual data every
The precedence information of a user, and, the preliminary comfort parameter is modified according to the precedence information, is obtained
Primary revised comfort parameter；
Final comfort parameter is determined according to the primary revised comfort parameter, and according to the final comfort
Parameter controls operation of air conditioner.
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