CN105737324A - Air conditioner comfort level judgment method - Google Patents

Abstract

The invention belongs to the field of control methods for air conditioning devices and discloses an air conditioner comfort level judgment method, which is designed aiming at solving the defect of lack in judgment for the comfort level of infants in the prior art. According to the air conditioner comfort level judgment method, the comfort level index value P of the infants can be obtained according to the physical parameters of the infants and indoor environment parameters, the comfort level of the infants for current indoor environment can be judged and the comfort level index value P and/or the comfort level of the infants can be displayed according to the comfort level index value P of the infants; the physical parameters include ages of the infants, and the indoor environment parameters include temperature, humidity and/or wind speed. The air conditioner comfort level judgment method can provide advisory opinion for parents, and can assist the parents in adjusting parameters including indoor temperature and humidity to be optimal for the infants, thus ensuring health growth of the infants; the prompt message is more specific and clear, thus being favorable for the parents to quickly know whether the infants feel comfortable in current indoor environment.

Description

Comfort of air conditioner decision method

Technical field

The present invention relates to a kind of comfort of air conditioner decision method.

Background technology

The body constitution of infant and teenager, adult's difference are very big, the needs all more or less difference to temperature, humidity and wind-force.

Existing air-conditioning lacks a kind of special detection, the display infant method to current indoor amenity degree, it is impossible to for there being the family of infant to provide advisory opinion, assist them to adjust the parameters such as indoor temperature and humidity better.Especially lack the young father and mother looking after infant experience, they feel indoor temperature and humidity very suitable but do not recognize this suitable feel for adult, and the infant of theirs at one's side is likely under unfavorable state.

Summary of the invention

It is an object of the invention to propose a kind of comfort of air conditioner decision method providing advisory opinion, guarantee infantile health to grow up.

Another object of the present invention be propose a kind of information specifically, clear and definite comfort of air conditioner decision method.

For reaching this purpose, the present invention by the following technical solutions:

A kind of comfort of air conditioner decision method, described method is the physical sign parameters according to infant and indoor environment parameter obtains infant ride number value P, judges that infant to current indoor environmental amenity degree and shows described infant ride number value P and/or level of comfort according to described infant ride number value P；Described physical sign parameters includes the age of infant, and described indoor environment parameter includes temperature, humidity and/or wind speed.

Particularly, described method comprises the steps:

Step 1, the measurement temperature Td of current indoor environment, humidity F d and wind speed Vd；The Optimal Temperature Ty corresponding to described infant physical sign parameter, optimum humidity F y and optimal wind speed Vy is obtained by data base, the most bad humidity F c corresponding to described infant physical sign parameter and the most bad wind speed Vc is obtained, using the maximum temperature difference numerical value of air-conditioning as the most bad temperature Tc by data base；

Step 2, calculating obtain optimal comfort index SSDy, current ride number SSDd and the most bad ride number SSDc；

Step 3, calculating infant ride number value P；

Step 4, judge that according to the size of infant ride number value P infant is to current indoor environmental amenity degree；

Step 5, show described infant ride number value P and/or level of comfort.

Further, described air-conditioning is built-in with data base, in described step 1, obtain the Optimal Temperature Ty corresponding to described infant physical sign parameter, optimum humidity F y and optimal wind speed Vy by inquiring about described data base, and obtain the most bad temperature Tc, the most bad humidity F c corresponding to described infant physical sign parameter and the most bad wind speed Vc.

Particularly, described air-conditioning communication link is to Cloud Server, in described step 1, obtain the Optimal Temperature Ty corresponding to described infant physical sign parameter, optimum humidity F y and optimal wind speed Vy by inquiring about the data base in described Cloud Server, and obtain the most bad temperature Tc, the most bad humidity F c corresponding to described infant physical sign parameter and the most bad wind speed Vc.

Particularly, also included before described step 1:

Judge whether to enter infant comfort level determinating mode after step A, start, be go to step B, otherwise go to ordinary control mode；

Step B, determine whether to first enter into infant comfort level determinating mode, be go to step C, otherwise go to step 1；

Step C, record infant physical sign parameter.

Particularly, use following equation to calculate respectively in described step 2 and obtain optimal comfort index SSDy, current ride number SSDd and the most bad ride number SSDc:

$\mathrm{SSDy}=(1.818\mathrm{Ty}+18.18)(0.88+0.002\mathrm{Fy})+\frac{\mathrm{Ty}-32}{45-\mathrm{Ty}}-3.2\mathrm{Vy}+18.2;$

$\mathrm{SSDd}=(1.818\mathrm{Td}+18.18)(0.88+0.002\mathrm{Fd})+\frac{\mathrm{Td}-32}{45-\mathrm{Td}}-3.2\mathrm{Vd}+18.2;$

$\mathrm{SSDc}=(1.818\mathrm{Tc}+18.18)(0.88+0.002\mathrm{Fc})+\frac{\mathrm{Tc}-32}{45-\mathrm{Tc}}-3.2\mathrm{Vc}+18.2.$

Particularly, in described step 3, infant ride number value P is calculated according to following formula:

$P=100-\frac{|\mathrm{SSDy}-\mathrm{SSDd}|}{|\mathrm{SSDy}-\mathrm{SSDc}|}\×100.$

Particularly, described infant physical sign parameter also includes the total quantity of the current physical condition of infant, distance between state and air-conditioning and/or indoor infant；Wherein, state includes motion, static and/or sleep.

Further, when the total quantity of indoor infant be two and above time, with the physical sign parameters of age the youngest infant be basic parameter, with the physical sign parameters of the worst infant of physical condition be basic parameter, with the physical sign parameters of the nearest infant of distance air-conditioning for basic parameter or with the meansigma methods of the physical sign parameters of indoor all infant for basic parameter.

Particularly, when described infant physical sign parameter includes multi-class data, for every class data setting priority level；Obtain coefficient from high to low according to rank, use described coefficient as infant physical sign parameter to obtain infant ride number value P.

Further, weighted value is set according to the difference of priority level, obtains coefficient according to described weighted value and described infant physical sign parameter.

Comfort of air conditioner decision method of the present invention obtains the evaluation result of infant ride number value P, display institute's value and level of comfort according to the physical sign parameters such as age of infant and indoor environment parameter, advisory opinion is provided for the heads of a family, the parameters such as indoor temperature and humidity are regulated to optimum infant by the auxiliary heads of a family, it is ensured that growing up healthy and sound of infant.Level of comfort that big mere suggestion current indoor environment according to infant ride number value P makes infant feel (include but not limited to as snug as a bug in a rug, comfortable, general and uncomfortable), information specifically, clearly, is conducive to the head of a family quickly to learn whether infant is comfortable in current indoor environment.

Accompanying drawing explanation

Fig. 1 is the comfort of air conditioner decision method flow chart that the preferred embodiment of the present invention one provides.

Detailed description of the invention

Technical scheme is further illustrated below in conjunction with accompanying drawing and by detailed description of the invention.

Preferred embodiment one:

This preferred embodiment provides a kind of comfort of air conditioner decision method.As it is shown in figure 1, the method comprises the steps:

Judge whether to enter infant comfort level determinating mode after step A, start, be go to step B, otherwise go to ordinary control mode.

Step B, determine whether to first enter into infant comfort level determinating mode, be, go to step C, prepare record infant physical sign parameter；Otherwise go to step 1, air conditioning control device now has been recorded with infant physical sign parameter.

Step C, prompting user input infant physical sign parameter, record this infant physical sign parameter.Wherein, physical sign parameters is the age (being accurate to month, for instance 1 year 6 months) of infant.

Step 1, the measurement temperature Td of current indoor environment, humidity F d and wind speed Vd；The Optimal Temperature Ty corresponding to this age bracket infant, optimum humidity F y and optimal wind speed Vy is obtained by data base, the most bad humidity F c corresponding to this age bracket infant and the most bad wind speed Vc is obtained, using the maximum temperature difference numerical value of air-conditioning as the most bad temperature Tc by data base.Concrete, above-mentioned optimized parameter and the most bad parameter is obtained by the data base that searching air conditioner is built-in；The maximum temperature difference numerical value of air-conditioning is the numerical value (such as 30 DEG C) preset in air-conditioning, and user can also revise this numerical value according to personalized demand.

Step 2, calculate respectively according to following formula and obtain optimal comfort index SSDy, current ride number SSDd and the most bad ride number SSDc,

$\mathrm{SSDy}=(1.818\mathrm{Ty}+18.18)(0.88+0.002\mathrm{Fy})+\frac{\mathrm{Ty}-32}{45-\mathrm{Ty}}-3.2\mathrm{Vy}+18.2;$

$\mathrm{SSDd}=(1.818\mathrm{Td}+18.18)(0.88+0.002\mathrm{Fd})+\frac{\mathrm{Td}-32}{45-\mathrm{Td}}-3.2\mathrm{Vd}+18.2;$

$\mathrm{SSDc}=(1.818\mathrm{Tc}+18.18)(0.88+0.002\mathrm{Fc})+\frac{\mathrm{Tc}-32}{45-\mathrm{Tc}}-3.2\mathrm{Vc}+18.2.$

Step 3, according to following formula calculate infant ride number value P,

$P=100-\frac{|\mathrm{SSDy}-\mathrm{SSDd}|}{|\mathrm{SSDy}-\mathrm{SSDc}|}\×100.$

Step 4, judge that according to the size of infant ride number value P infant is to current indoor environmental amenity degree.Infant ride number value P is the numerical value between 0 100, when 90 < P≤100, it is determined that for as snug as a bug in a rug；When 80 < P≤90, it is determined that for comfortable；When 70 < P≤80, it is determined that for generally；When P≤70, it is determined that for uncomfortable.

Step 5, it is a numeral in view of infant ride number value P, the head of a family likely cannot understand after seeing this numerical value now whether infant is comfortable on earth in time, so show infant ride number value P and level of comfort on the display screen of air-conditioning simultaneously, it is determined that result shows definitely.

Preferred embodiment two:

This preferred embodiment provides a kind of comfort of air conditioner decision method, and its content is essentially identical with preferred embodiment one.The method is the physical sign parameters according to infant and indoor environment parameter obtains infant ride number value P, judges that infant to current indoor environmental amenity degree and shows described infant ride number value P and/or level of comfort according to infant ride number value P.Physical sign parameters includes the age of infant；Indoor environment parameter includes temperature, humidity and/or wind speed.

It is different in that: the concrete steps of decision method are not limit, it is possible to judge according to the physical sign parameters of infant and show its level of comfort；Level of comfort includes but not limited to as snug as a bug in a rug, comfortable, general and uncomfortable four ranks, it is also possible to be divided into more rank；Infant physical sign parameter can be recorded when first entering into infant comfort level determinating mode, it is also possible to is at record At All Other Times, it is possible to determines according to the use habit of user is next personalized.

Air-conditioning communication link is to Cloud Server, the Optimal Temperature Ty corresponding to infant physical sign parameter, optimum humidity F y and optimal wind speed Vy is obtained by inquiring about the data base in Cloud Server, and obtain the most bad temperature Tc, the most bad humidity F c corresponding to infant physical sign parameter and the most bad wind speed Vc, calculate according to above-mentioned parameter and obtain infant ride number value P.

Infant physical sign parameter can only include the age of infant, it is also possible to includes multiclass content；The current physical condition of such as infant (include but not limited to health, general and sick and weak), distance between state (include but not limited to run jumping laugh and frolick wait kinestate, see resting state and the sleep states such as TV) and air-conditioning (include but not limited to remote, in, closely) and/or the total quantity of indoor infant.

Wherein, when the total quantity of indoor infant be two and above time, the meansigma methods of the physical sign parameters of all infant can be basic parameter, can be basic parameter by the physical sign parameters of the infant the youngest age, can be basic parameter by the physical sign parameters of infant worst for physical condition, can be basic parameter by the physical sign parameters of infant nearest for distance air-conditioning, it is also possible to use other method to determine basic parameter.

When infant physical sign parameter only includes class data, use the data of input as infant physical sign parameter.When infant physical sign parameter includes multi-class data, for every class data setting priority level；Obtain coefficient from high to low according to rank, use this coefficient as infant physical sign parameter to obtain infant ride number value P；This coefficient can also arrange weighted value according to the difference of priority level, obtains according to weighted value and infant physical sign parameter.

Claims (11)

1. a comfort of air conditioner decision method, it is characterized in that, described method is the physical sign parameters according to infant and indoor environment parameter obtains infant ride number value P, judges that infant to current indoor environmental amenity degree and shows described infant ride number value P and/or level of comfort according to described infant ride number value P；Described physical sign parameters includes the age of infant, and described indoor environment parameter includes temperature, humidity and/or wind speed.

2. comfort of air conditioner decision method according to claim 1, it is characterised in that described method comprises the steps:

Step 1, the measurement temperature Td of current indoor environment, humidity F d and wind speed Vd；The Optimal Temperature Ty corresponding to described infant physical sign parameter, optimum humidity F y and optimal wind speed Vy is obtained by data base, the most bad humidity F c corresponding to described infant physical sign parameter and the most bad wind speed Vc is obtained, using the maximum temperature difference numerical value of air-conditioning as the most bad temperature Tc by data base；

Step 2, calculating obtain optimal comfort index SSDy, current ride number SSDd and the most bad ride number SSDc；

Step 3, calculating infant ride number value P；

Step 4, judge that according to the size of infant ride number value P infant is to current indoor environmental amenity degree；

Step 5, show described infant ride number value P and/or level of comfort.

3. comfort of air conditioner decision method according to claim 2, it is characterized in that, described air-conditioning is built-in with data base, in described step 1, obtain the Optimal Temperature Ty corresponding to described infant physical sign parameter, optimum humidity F y and optimal wind speed Vy by inquiring about described data base, and obtain the most bad temperature Tc, the most bad humidity F c corresponding to described infant physical sign parameter and the most bad wind speed Vc.

4. comfort of air conditioner decision method according to claim 2, it is characterized in that, described air-conditioning communication link is to Cloud Server, in described step 1, obtain the Optimal Temperature Ty corresponding to described infant physical sign parameter, optimum humidity F y and optimal wind speed Vy by inquiring about the data base in described Cloud Server, and obtain the most bad temperature Tc, the most bad humidity F c corresponding to described infant physical sign parameter and the most bad wind speed Vc.

5. comfort of air conditioner decision method according to claim 2, it is characterised in that also included before described step 1:

Judge whether to enter infant comfort level determinating mode after step A, start, be go to step B, otherwise go to ordinary control mode；

Step B, determine whether to first enter into infant comfort level determinating mode, be go to step C, otherwise go to step 1；

Step C, record infant physical sign parameter.

6. according to the arbitrary described comfort of air conditioner decision method of claim 2 to 5, it is characterised in that use following equation to calculate respectively in described step 2 and obtain optimal comfort index SSDy, current ride number SSDd and the most bad ride number SSDc:

$\mathrm{SSDy}=(1.818\mathrm{Ty}+18.18)(0.88+0.002\mathrm{Fy})+\frac{\mathrm{Ty}-32}{45-\mathrm{Ty}}-3.2\mathrm{Vy}+18.2;$

$\mathrm{SSDd}=(1.818\mathrm{Td}+18.18)(0.88+0.002\mathrm{Fd})+\frac{\mathrm{Td}-32}{45-\mathrm{Td}}-3.2\mathrm{Vd}+18.2;$

$\mathrm{SSDc}=(1.818\mathrm{Tc}+18.18)(0.88+0.002\mathrm{Fc})+\frac{\mathrm{Tc}-32}{45-\mathrm{Tc}}-3.2\mathrm{Vc}+18.2.$

7. according to the arbitrary described comfort of air conditioner decision method of claim 2 to 5, it is characterised in that calculate infant ride number value P according to following formula in described step 3:

$P=100-\frac{|\mathrm{SSDy}-\mathrm{SSDd}|}{|\mathrm{SSDy}-\mathrm{SSDc}|}\&times;100.$

8. according to the arbitrary described comfort of air conditioner decision method of claim 1 to 5, it is characterised in that described infant physical sign parameter also includes the total quantity of the current physical condition of infant, distance between state and air-conditioning and/or indoor infant；Wherein, state includes motion, static and/or sleep.

9. comfort of air conditioner decision method according to claim 8, it is characterized in that, when the total quantity of indoor infant be two and above time, with the physical sign parameters of age the youngest infant be basic parameter, with the physical sign parameters of the worst infant of physical condition be basic parameter, with the physical sign parameters of the nearest infant of distance air-conditioning for basic parameter or with the meansigma methods of the physical sign parameters of indoor all infant for basic parameter.

10. comfort of air conditioner decision method according to claim 8, it is characterised in that when described infant physical sign parameter includes multi-class data, for every class data setting priority level；Obtain coefficient from high to low according to rank, use described coefficient as infant physical sign parameter to obtain infant ride number value P.

11. comfort of air conditioner decision method according to claim 10, it is characterised in that arrange weighted value according to the difference of priority level, obtain coefficient according to described weighted value and described infant physical sign parameter.