CN106440239A - Food preference recommendation method and system based on air conditioner - Google Patents
Food preference recommendation method and system based on air conditioner Download PDFInfo
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- CN106440239A CN106440239A CN201610934247.XA CN201610934247A CN106440239A CN 106440239 A CN106440239 A CN 106440239A CN 201610934247 A CN201610934247 A CN 201610934247A CN 106440239 A CN106440239 A CN 106440239A
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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
-
- 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
-
- 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
-
- 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
-
- 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
- F24F2120/20—Feedback from users
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- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Signal Processing (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses a food preference recommendation method and system based on an air conditioner. The method comprises the following steps: acquiring various cold and hot natures of food; acquiring the index of sensation of chill of a user according to a set temperature of the air conditioner used for the user; and recommending food with corresponding cold and hot natures for the user according to the index of sensation of chill of the user and the various cold and hot natures of the food. According to the method disclosed by the invention, the food with the corresponding cold and hot natures can be recommended for the user intelligently, and convenience and interestingness of living of the user are improved.
Description
Technical field
The present invention relates to air-conditioner technical field, more particularly to a kind of preferred diet based on air-conditioner recommend method and
Plant the preferred diet commending system based on air-conditioner.
Background technology
Everyone has the preferred diet of oneself, for example, likes eating partially peppery, numb, colder or partial heat partially food.Having dinner
When, user is generally difficult to determine the preferred diet of oneself.
Content of the invention
It is contemplated that at least solving one of technical problem in above-mentioned technology to a certain extent.For this purpose, the present invention
One purpose is that proposing a kind of preferred diet based on air-conditioner recommends method, intelligently can recommend to user accordingly cold and hot
The food of attribute, improves convenience and the interest of user's life.
Second object of the present invention is to propose a kind of preferred diet commending system based on air-conditioner.
For reaching above-mentioned purpose, first aspect present invention embodiment proposes a kind of preferred diet based on air-conditioner and recommends
Method, the method is comprised the following steps:Obtain the multiple cold and hot attribute of food;Obtained using the design temperature of air-conditioner according to user
Take the cold index of the user;According to the cold index of the user and the multiple cold and hot attribute of the food to the user
Recommend cold and hot attribute accordingly.
Preferred diet based on air-conditioner according to embodiments of the present invention recommends method, by obtaining the multiple cold and hot of food
Attribute, and obtain the cold index of user, and the cold index according to user using the design temperature of air-conditioner according to user
Recommend cold and hot attribute with the multiple cold and hot attribute of food to user, thus, peration data of the user to air-conditioner be effectively utilized,
The food of accordingly cold and hot attribute intelligently can be recommended to user, improve convenience and the interest of user's life.
In addition, the preferred diet based on air-conditioner for being proposed according to the above embodiment of the present invention recommends method have
Following additional technical characteristic:
Specifically, the cold index of the user is obtained using the design temperature of air-conditioner according to user, including:Obtain
In same time range, the design temperature of multiple air-conditioners of the user their location;Air-conditioner is used according to the user
Design temperature and the design temperature of the multiple air-conditioners for obtaining calculate the cold index of the user.
Further, the temperature conditionss of the user their location, and the temperature according to the user their location are also obtained
Degree situation determines temperature Intrusion Index, and according to the temperature Intrusion Index, the cold index of the user is modified.
Further, the cold index of the user is calculated according to below equation:
Wherein, Ci is the cold index of the user, and Tn is the minima in the design temperature of the plurality of air-conditioner, Tm
For the maximum in the design temperature of the plurality of air-conditioner, pi represents that in the plurality of air-conditioner, design temperature is the air-conditioning of i
The number of device, s is the temperature Intrusion Index.
According to one embodiment of present invention, the cold and hot attribute of the food includes the peppery degree of food, food fiber crops degree or food
Temperature.
For reaching above-mentioned purpose, second aspect present invention embodiment proposes a kind of preferred diet based on air-conditioner and recommends
System, the system includes:First acquisition module, first acquisition module is used for obtaining the multiple cold and hot attribute of food;Second
Acquisition module, second acquisition module is used for obtaining the cold finger of the user using the design temperature of air-conditioner according to user
Number;Recommending module, the recommending module be used for according to the cold index of the user and the multiple cold and hot attribute of the food to
The user recommends cold and hot attribute accordingly.
Preferred diet commending system based on air-conditioner according to embodiments of the present invention, obtains food by the first acquisition module
The multiple cold and hot attribute of thing, and the cold of user is obtained according to user using the design temperature of air-conditioner by the second acquisition module
Index, and cold and hot category is recommended according to the cold index of user and the multiple cold and hot attribute of food to user by recommending module
Property, thus, peration data of the user to air-conditioner is effectively utilized, intelligently can recommend the food of accordingly cold and hot attribute to user
Thing, improves convenience and the interest of user's life.
In addition, can also be had based on the preferred diet commending system of air-conditioner according to what the above embodiment of the present invention was proposed
Following additional technical characteristic:
Specifically, second acquisition module be used for obtain in same time range, the user their location many
The design temperature of individual air-conditioner, and the setting according to design temperature of the user using air-conditioner and the multiple air-conditioners for obtaining
The cold index of user described in temperature computation.
Further, second acquisition module also obtains the temperature conditionss of the user their location, and according to described
The temperature conditionss of user their location determine temperature Intrusion Index, and the fearness according to the temperature Intrusion Index to the user
Cold finger number is modified.
Further, second acquisition module calculates the cold index of the user according to below equation:
Wherein, Ci is the cold index of the user, and Tn is the minima in the design temperature of the plurality of air-conditioner, Tm
For the maximum in the design temperature of the plurality of air-conditioner, pi represents that in the plurality of air-conditioner, design temperature is the air-conditioning of i
The number of device, s is the temperature Intrusion Index.
According to one embodiment of present invention, the cold and hot attribute of the food includes the peppery degree of food, food fiber crops degree or food
Temperature.
Description of the drawings
Fig. 1 is the flow chart for recommending method according to the preferred diet based on air-conditioner of the embodiment of the present invention;
Fig. 2 is the block diagram of the preferred diet commending system based on air-conditioner according to the embodiment of the present invention.
Specific embodiment
Embodiments of the invention are described below in detail, the example of the embodiment is shown in the drawings, wherein from start to finish
Same or similar label represents same or similar element or the element with same or like function.Below with reference to attached
The embodiment of figure description is exemplary, it is intended to for explaining the present invention, and be not considered as limiting the invention.
The preferred diet based on air-conditioner to describe the embodiment of the present invention recommends method and system below in conjunction with the accompanying drawings.
Fig. 1 is the flow chart for recommending method according to the preferred diet based on air-conditioner of the embodiment of the present invention.
As shown in figure 1, the preferred diet based on air-conditioner of the embodiment of the present invention recommends method, comprise the following steps:
S1, obtains the multiple cold and hot attribute of food.
In one embodiment of the invention, can by multiple cold and hot attributes according to by be as cold as heat order arranged.Example
Such as, the cold and hot attribute of N kind is arranged as [PL1, PL2, PL3 ..., PLN] according to by the order for being as cold as heat.
Wherein, the cold and hot attribute of food may include the peppery degree of food, food fiber crops degree or food temperature.
For the peppery degree of food, its multiple peppery degree according to being arranged as by the order for being as cold as heat [clear soup, little peppery, in peppery, spicy,
Peppery greatly];For food temperature, according to being arranged as by the order for being as cold as heat, [ice, cold, room temperature, temperature, heat, scald its various temperature, boiling
Rise].
One food can have more than one cold and hot attribute, such as vinegar-pepper soup at least temperature, two kinds of cold and hot attributes of peppery degree.
For a food, its cold and hot attribute can be increased newly, the also changeable of the quantity under attribute.
In one embodiment of the invention, the cold and hot attribute of food can manually be sorted.Cold and hot due to food
Attribute and its limited amount, therefore the permeable backstage of management personnel, under finite time, completes the cold and hot attribute sequence of food,
And it is stored in reuse ranking results in data base.For example, can by the cold and hot attribute of Sichuan maocai according to by be as cold as heat suitable
Sequence is arranged as [clear soup, little peppery, spicy, peppery greatly].
Further, in one embodiment of the invention, automatization's sequence can be carried out to the cold and hot attribute of food, for example
When being warm, refrigerant food is sold well, and when being cold, warming food be bought must well, can carry out cold and hot attribute according to sales volume with weather
Sequence.For example, can be according to purchasing by group record, during 10 degree of temperature, Hot Coffee sales volume is good, during 20 degree of temperature, the pearl milk tea amount of disappearing
Good, during 30 degree of temperature, mango ice shaker sales volume is good, therefore can produce the sequence of [hot beverage, cold drink, Ice].
S2, obtains the cold index of user according to user using the design temperature of air-conditioner.
In one embodiment of the invention, can obtain in same time range, multiple air-conditionings of user their location
The design temperature of device, and use is calculated using the design temperature of the design temperature of air-conditioner and the multiple air-conditioners for obtaining according to user
The cold index at family.
Wherein, the geographical division that the countries such as province, city and the small towns that user their location can be located for user work out, also may be used
Think under setting one place, the region division produced by circle is made with default radius distance.It is of course also possible to obtain a certain
The design temperature of multiple air-conditioners of time point user their location.
For example, in same time range, user their location design temperature for the air-conditioner number of Tn degree is
PTn, design temperature is pT (n+1) ... for the air-conditioner number that T (n+1) spends, and design temperature for the air-conditioner number of Tm degree is
PTm, wherein, Tn, T (n+1) ..., order arrangement of the Tm according to temperature from low to high.In one embodiment of the invention, Tn
The minimum temperature that be able to can set for air-conditioning gas, the maximum temperature that Tm be able to can be set for air-conditioning.
After data of the above-mentioned design temperature with the air-conditioner number for setting corresponding temperature are obtained, user uses air-conditioner
Design temperature in above-mentioned data location in big minispread just can substantially represent the user with respect to popular
Cold degree.Therefore, in one embodiment of the invention, design temperature t of the user using air-conditioner can be drawn in colony's temperature
Degree sets the percentile under distribution, and the percentile is represented between colony, under equivalent environment closer to 1, and the user sets
Temperature is higher, and deflection likes warm or hot environment, i.e., more cold;Percent is represented between colony, equivalent environment closer to 0
Under, the temperature that the user sets is relatively low, the deflection nice and cool or low temperature environment of hobby, i.e., relatively To Be Protected from Heat.
In addition, in one embodiment of the invention, the preferred diet due to user can also receive the temperature of user their location
The impact of degree, therefore, can also obtain the temperature conditionss of user their location, and be determined according to the temperature conditionss of user their location
Temperature Intrusion Index, and according to temperature Intrusion Index, the cold index of user is modified.
In one embodiment of the invention, the cold index of user can be calculated according to below equation:
Wherein, Ci is the cold index of user, and Tn is the minima in the design temperature of multiple air-conditioners, and Tm is multiple skies
The maximum in the design temperature of device is adjusted, pi represents that in multiple air-conditioners, design temperature is the number of the air-conditioner of i, and s is temperature
Intrusion Index.
As described above, temperature Intrusion Index s is systematic parameter, can to manually adjust according to demand, or using automatic
Change mode analyzes the height of user their location temperature, produces the value of the s being suitable for.For example, if the temperature of user their location
Degree is relatively low, and the user is partial to hotter diet, and temperature Intrusion Index s can correspond to larger.
S3, recommends cold and hot attribute accordingly according to the cold index of user and the multiple cold and hot attribute of food to user.
The cold index Ci for getting user and the cold and hot attribute of N kind according to by be as cold as heat order arrangement [PL1, PL2,
PL3 ..., PLN] after, the cold and hot attribute that recommends can be calculated according to below equation:
PL [j]=PL [round (Ci*N)],
Wherein, PL [j] represents in N kind cold and hot attribute [PL1, PL2, PL3 ..., PLN], j-th cold and hot category to be recommended
Property, round represents round number.
For example, if 4 kinds of cold and hot attributes according to by be as cold as heat order be arranged as [salubrious 1, little by numb 2, middle numb 3, Fructus Cannabiss
4], the cold index Ci of user is 0.7, then PL [j]=PL [round (0.7*4)]=PL [3], then recommend to the user
Cold and hot attribute is middle fiber crops.
In one embodiment of the invention, in addition to cold and hot attribute is recommended, also phase can be searched for according to the cold and hot attribute that recommends
Diet is closed, and by related dietary recommendations continued to user.Further, position or the region at user place can be also obtained, and is searched for
Diet information under the position or region, and diet information is supplied to user.Further, can also be incited somebody to action by the Internet
Position is sent to commodity website or group buying websites with diet attribute keyword, obtains diet Business Information, and is pushed to user.
In one embodiment of the invention, above-mentioned steps can be complete by server and system that controller of air conditioner is interconnected
Become, you can obtained the multiple cold and hot attribute of food by server, server is obtained by the control data of controller of air conditioner and used
Family is using the design temperature of air-conditioner, and the cold index of acquisition user further, and then server is according to the cold finger of user
The multiple cold and hot attribute of number and food obtains cold and hot attribute to be recommended, and the cold and hot attribute to be recommended for obtaining is sent to sky
Adjust device controller.
Preferred diet based on air-conditioner according to embodiments of the present invention recommends method, by obtaining the multiple cold and hot of food
Attribute, and obtain the cold index of user, and the cold index according to user using the design temperature of air-conditioner according to user
Recommend cold and hot attribute with the multiple cold and hot attribute of food to user, thus, peration data of the user to air-conditioner be effectively utilized,
The food of accordingly cold and hot attribute intelligently can be recommended to user, improve convenience and the interest of user's life.
In one particular embodiment of the present invention, for the purpose of simplifying the description, with many ice of five kinds of cold and hot attributes, few ice, deicing,
As a example by gentle heat, first by above-mentioned cold and hot attribute according to being arranged as by the order for being as cold as heat:[many ice, few ice, deicing, temperature, heat].
Assume the user A positioned at Guangzhou, the temperature air-conditioner temperature set by a certain moment in summer August part is 22
Degree.Internet of Things server can obtain all of air conditioner user in Guangzhou and set distribution in the temperature of a nearest hour.For simplifying
Explanation, it is assumed that in a nearly hour, has 8 people to set air-conditioner temperature, and set temperature is respectively:[20,22,22,24,
26,28,30,30].For temperature Intrusion Index s, winter is typically more cold, is set as+0.1, and summer is general, and relatively To Be Protected from Heat, sets
For -0.1.As this situation is summer, therefore s=-0.1.
The temperature for being set due to user A as 22 degree, therefore cold index Ci=(the 1+2)/8+ (- 0.1) of user A=
0.275.As cold index is that 0 to 1, more deflection 1 is more cold, more more To Be Protected from Heat for deflection 0.Therefore can be judged by Ci=0.275
This artificial body constitution that relatively To Be Protected from Heat.
Being ordered as of cold and hot attribute [many ice, few ice, deicing, temperature, heat], cold and hot attribute PL [the j]=PL for therefore recommending
[round (0.275x5)]=PL [Round (1.375)]=PL [1].PL [1] represents the 1st position of cold and hot attribute sequence, i.e., many
Ice.Thus, many ice of cold and hot attribute can be recommended to the user A.
In one embodiment of the invention, can be according to many ice of cold and hot attribute, and user position Guangzhou, to purchasing by group net
Stand and obtain the Business Information that many cold beverages are provided near Guangzhou.
Additionally, may also be combined with different cold and hot attributes to carry out the recommendation of preferred diet.For example, can combining foods temperature
Degree:[many ice, few ice, deicing, temperature, heat, boiling hot] and peppery degree:[clear soup, little peppery, in peppery, spicy, peppery greatly], it is recommended that meet multiple
The food of property set.That can for example recommend boiling hot spicy flavor emits dish.
The preferred diet based on air-conditioner for realizing above-described embodiment recommends method, and the present invention also proposes a kind of based on sky
Adjust the preferred diet commending system of device.
As shown in Fig. 2 the preferred diet commending system based on air-conditioner of the embodiment of the present invention, including:First obtains mould
Block 10, the second acquisition module 20 and recommending module 30.
Wherein, the first acquisition module 10 is used for obtaining the multiple cold and hot attribute of food;Second acquisition module 20 is used for basis
User obtains the cold index of user using the design temperature of air-conditioner;Recommending module 30 be used for according to the cold index of user and
The multiple cold and hot attribute of food recommends cold and hot attribute accordingly to user.
In one embodiment of the invention, the first acquisition module 10 can by multiple cold and hot attributes according to by be as cold as heat suitable
Sequence is arranged.For example, the cold and hot attribute of N kind is arranged as [PL1, PL2, PL3 ..., PLN] according to by the order for being as cold as heat.
Wherein, the cold and hot attribute of food may include the peppery degree of food, food fiber crops degree or food temperature.
For the peppery degree of food, its multiple peppery degree according to being arranged as by the order for being as cold as heat [clear soup, little peppery, in peppery, spicy,
Peppery greatly];For food temperature, according to being arranged as by the order for being as cold as heat, [ice, cold, room temperature, temperature, heat, scald its various temperature, boiling
Rise].
One food can have more than one cold and hot attribute, such as vinegar-pepper soup at least temperature, two kinds of cold and hot attributes of peppery degree.
For a food, its cold and hot attribute can be increased newly, the also changeable of the quantity under attribute.
In one embodiment of the invention, the cold and hot attribute of food can manually be sorted.Cold and hot due to food
Attribute and its limited amount, therefore the permeable backstage of management personnel, under finite time, completes the cold and hot attribute sequence of food,
And it is stored in reuse ranking results in data base.For example, can by the cold and hot attribute of Sichuan maocai according to by be as cold as heat suitable
Sequence is arranged as [clear soup, little peppery, spicy, peppery greatly].
Further, in one embodiment of the invention, the first acquisition module 10 can be carried out to the cold and hot attribute of food
Automatization sorts, such as when being warm, refrigerant food is sold well, and when being cold, warming food be bought must well, can be according to sales volume and day
Gas carries out cold and hot attribute sequence.For example, can be according to purchasing by group record, during 10 degree of temperature, Hot Coffee sales volume is good, 20 degree of temperature
When, the pearl milk tea amount of disappearing is good, and during 30 degree of temperature, mango ice shaker sales volume is good, therefore can produce [hot beverage, cold drink, Ice]
Sequence.
In one embodiment of the invention, the second acquisition module 20 can be obtained in same time range, residing for user
The design temperature of multiple air-conditioners in area, and according to user using multiple air-conditioners of the design temperature of air-conditioner and acquisition
Design temperature calculates the cold index of user.
Wherein, the geographical division that the countries such as province, city and the small towns that user their location can be located for user work out, also may be used
Think under setting one place, the region division produced by circle is made with default radius distance.Certainly, the second acquisition module 20
The design temperature in sometime multiple air-conditioners of point user their location can be obtained.
For example, in same time range, user their location design temperature for the air-conditioner number of Tn degree is
PTn, design temperature is pT (n+1) ... for the air-conditioner number that T (n+1) spends, and design temperature for the air-conditioner number of Tm degree is
PTm, wherein, Tn, T (n+1) ..., order arrangement of the Tm according to temperature from low to high.In one embodiment of the invention, Tn
The minimum temperature that be able to can set for air-conditioning gas, the maximum temperature that Tm be able to can be set for air-conditioning.
After data of the above-mentioned design temperature with the air-conditioner number for setting corresponding temperature are obtained, user uses air-conditioner
Design temperature in above-mentioned data location in big minispread just can substantially represent the user with respect to popular
Cold degree.Therefore, in one embodiment of the invention, design temperature t of the user using air-conditioner can be drawn in colony's temperature
Degree sets the percentile under distribution, and the percentile is represented between colony, under equivalent environment closer to 1, and the user sets
Temperature is higher, and deflection likes warm or hot environment, i.e., more cold;Percent is represented between colony, equivalent environment closer to 0
Under, the temperature that the user sets is relatively low, the deflection nice and cool or low temperature environment of hobby, i.e., relatively To Be Protected from Heat.
In addition, in one embodiment of the invention, the preferred diet due to user can also receive the temperature of user their location
The impact of degree, therefore, the second acquisition module 20 can also obtain the temperature conditionss of user their location, and according to user their location
Temperature conditionss determine temperature Intrusion Index, and according to temperature Intrusion Index, the cold index of user is modified.
In one embodiment of the invention, the second acquisition module 20 can calculate the cold finger of user according to below equation
Number:
Wherein, Ci is the cold index of user, and Tn is the minima in the design temperature of multiple air-conditioners, and Tm is multiple skies
The maximum in the design temperature of device is adjusted, pi represents that in multiple air-conditioners, design temperature is the number of the air-conditioner of i, and s is temperature
Intrusion Index.
As described above, temperature Intrusion Index s is systematic parameter, can to manually adjust according to demand, or using automatic
Change mode analyzes the height of user their location temperature, produces the value of the s being suitable for.For example, if the temperature of user their location
Degree is relatively low, and the user is partial to hotter diet, and temperature Intrusion Index s can correspond to larger.
The cold index Ci for getting user and the cold and hot attribute of N kind according to by be as cold as heat order arrangement [PL1, PL2,
PL3 ..., PLN] after, it is recommended that module 30 can calculate the cold and hot attribute that recommends according to below equation:
PL [j]=PL [round (Ci*N)],
Wherein, PL [j] represents in N kind cold and hot attribute [PL1, PL2, PL3 ..., PLN], j-th cold and hot category to be recommended
Property, round represents round number.
For example, if 4 kinds of cold and hot attributes according to by be as cold as heat order be arranged as [salubrious 1, little by numb 2, middle numb 3, Fructus Cannabiss
4], the cold index Ci of user is 0.7, then PL [j]=PL [round (0.7*4)]=PL [3], then recommending module 30 is to this
The cold and hot attribute that user recommends is middle fiber crops.
In one embodiment of the invention, in addition to cold and hot attribute is recommended, also phase can be searched for according to the cold and hot attribute that recommends
Diet is closed, and by related dietary recommendations continued to user.Further, position or the region at user place can be also obtained, and is searched for
Diet information under the position or region, and diet information is supplied to user.Further, can also be incited somebody to action by the Internet
Position is sent to commodity website or group buying websites with diet attribute keyword, obtains diet Business Information, and is pushed to user.
In one embodiment of the invention, the first above-mentioned acquisition module 10, the second acquisition module 20 and recommending module
30 are located at by server, and the system for being interconnected with controller of air conditioner by server completes the function of the system, you can by
Server obtains the multiple cold and hot attribute of food, and server obtains user by the control data of controller of air conditioner and uses air-conditioning
The design temperature of device, and obtain the cold index of user further, then server is according to the cold index of user and food
Multiple cold and hot attributes obtain cold and hot attribute to be recommended, and the cold and hot attribute to be recommended for obtaining is sent to air-conditioner control
Device.
Preferred diet commending system based on air-conditioner according to embodiments of the present invention, obtains food by the first acquisition module
The multiple cold and hot attribute of thing, and the cold of user is obtained according to user using the design temperature of air-conditioner by the second acquisition module
Index, and cold and hot category is recommended according to the cold index of user and the multiple cold and hot attribute of food to user by recommending module
Property, thus, peration data of the user to air-conditioner is effectively utilized, intelligently can recommend the food of accordingly cold and hot attribute to user
Thing, improves convenience and the interest of user's life.
In describing the invention, it is to be understood that term " " center ", " longitudinal direction ", " horizontal ", " length ", " width ",
" thickness ", " on ", D score, "front", "rear", "left", "right", " vertical ", " level ", " top ", " bottom ", " interior ", " outward ", " up time
The orientation of instruction such as pin ", " counterclockwise ", " axial direction ", " radially ", " circumference " or position relationship be based on orientation shown in the drawings or
Position relationship, is for only for ease of the description present invention and simplifies description, rather than the device or element of instruction or hint indication must
Therefore must be not considered as limiting the invention with specific orientation, with specific azimuth configuration and operation.
Additionally, term " first ", " second " are only used for describing purpose, and it is not intended that indicating or hint relative importance
Or the implicit quantity for indicating indicated technical characteristic.Thus, define " first ", the feature of " second " can express or
Implicitly include one or more this feature.In describing the invention, " multiple " are meant that two or more,
Unless otherwise expressly limited specifically.
In the present invention, unless otherwise clearly defined and limited, term " installation ", " being connected ", " connection ", " fixation " etc.
Term should be interpreted broadly, for example, it may be fixedly connected, or be detachably connected, or integral;Can be that machinery connects
Connect, or electrically connect;Can be joined directly together, it is also possible to be indirectly connected to by intermediary, can be in two elements
The connection in portion or the interaction relationship of two elements.For the ordinary skill in the art, can be according to concrete feelings
Condition understands above-mentioned term concrete meaning in the present invention.
In the present invention, unless otherwise clearly defined and limited, fisrt feature second feature " on " or D score permissible
It is the first and second feature directly contacts, or the first and second features passes through intermediary mediate contact.And, fisrt feature exists
Second feature " on ", " top " and " above " but fisrt feature are directly over second feature or oblique upper, or be merely representative of
Fisrt feature level height is higher than second feature.Fisrt feature second feature " under ", " lower section " and " below " can be
One feature is immediately below second feature or obliquely downward, or is merely representative of fisrt feature level height less than second feature.
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 the spy for describing with reference to the embodiment or example
Point is contained at least one embodiment or the example of the present invention.In this manual, to the schematic representation of above-mentioned term not
Identical embodiment or example must be directed to.And, the specific features of description, structure, material or feature can be in office
Combined in one or more embodiments or example in an appropriate manner.Additionally, in the case of not conflicting, the skill of this area
The feature of the different embodiments described in this specification or example and different embodiments or example can be tied by art personnel
Close and combine.
Although embodiments of the invention have been shown and described above, it is to be understood that above-described embodiment is example
Property, it is impossible to limitation of the present invention is interpreted as, one of ordinary skill in the art within the scope of the invention can be to above-mentioned
Embodiment is changed, changes, replacing and modification.
Claims (10)
1. a kind of preferred diet based on air-conditioner recommends method, it is characterised in that comprise the following steps:
Obtain the multiple cold and hot attribute of food;
The cold index of the user is obtained using the design temperature of air-conditioner according to user;
Cold and hot category accordingly is recommended to the user according to the cold index of the user and the multiple cold and hot attribute of the food
Property.
2. the preferred diet based on air-conditioner according to claim 1 recommends method, it is characterised in that used according to user
The design temperature of air-conditioner obtains the cold index of the user, including:
Obtain in same time range, the design temperature of multiple air-conditioners of the user their location;
The user is calculated using the design temperature of the design temperature of air-conditioner and the multiple air-conditioners for obtaining according to the user
Cold index.
3. the preferred diet based on air-conditioner according to claim 2 recommends method, it is characterised in that also obtain the use
The temperature conditionss of family their location, and temperature Intrusion Index, Yi Jigen is determined according to the temperature conditionss of the user their location
According to the temperature Intrusion Index, the cold index of the user is modified.
4. the preferred diet based on air-conditioner according to claim 3 recommends method, it is characterised in that according to below equation
Calculate the cold index of the user:
Wherein, Ci is the cold index of the user, and Tn is the minima in the design temperature of the plurality of air-conditioner, and Tm is institute
The maximum in the design temperature of multiple air-conditioners is stated, pi represents that in the plurality of air-conditioner, design temperature is the air-conditioner of i
Number, s is the temperature Intrusion Index.
5. the preferred diet based on air-conditioner according to claim 1 recommends method, it is characterised in that the food cold
Hot attribute includes the peppery degree of food, food fiber crops degree or food temperature.
6. a kind of preferred diet commending system based on air-conditioner, it is characterised in that include:
First acquisition module, first acquisition module is used for obtaining the multiple cold and hot attribute of food;
Second acquisition module, second acquisition module is used for obtaining the user according to user using the design temperature of air-conditioner
Cold index;
Recommending module, the recommending module be used for according to the cold index of the user and the multiple cold and hot attribute of the food to
The user recommends cold and hot attribute accordingly.
7. the preferred diet commending system based on air-conditioner according to claim 6, it is characterised in that described second obtains
Module is used for obtaining in same time range, the design temperature of multiple air-conditioners of the user their location, and according to institute
State the cold index that user calculates the user using the design temperature of the design temperature of air-conditioner and the multiple air-conditioners for obtaining.
8. the preferred diet commending system based on air-conditioner according to claim 7, it is characterised in that described second obtains
Module also obtains the temperature conditionss of the user their location, and determines temperature according to the temperature conditionss of the user their location
Intrusion Index, and according to the temperature Intrusion Index, the cold index of the user is modified.
9. the preferred diet commending system based on air-conditioner according to claim 8, it is characterised in that described second obtains
Module calculates the cold index of the user according to below equation:
Wherein, Ci is the cold index of the user, and Tn is the minima in the design temperature of the plurality of air-conditioner, and Tm is institute
The maximum in the design temperature of multiple air-conditioners is stated, pi represents that in the plurality of air-conditioner, design temperature is the air-conditioner of i
Number, s is the temperature Intrusion Index.
10. the preferred diet commending system based on air-conditioner according to claim 6, it is characterised in that the food
Cold and hot attribute includes the peppery degree of food, food fiber crops degree or food temperature.
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Cited By (1)
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CN113378042A (en) * | 2021-06-01 | 2021-09-10 | 青岛海尔空调器有限总公司 | Ordering method and device based on air conditioner and intelligent air conditioner |
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