CN104833063B - Air conditioner control method and system - Google Patents

Air conditioner control method and system Download PDF

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Publication number
CN104833063B
CN104833063B CN201510306176.4A CN201510306176A CN104833063B CN 104833063 B CN104833063 B CN 104833063B CN 201510306176 A CN201510306176 A CN 201510306176A CN 104833063 B CN104833063 B CN 104833063B
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pmv
parameter
air
user
operational order
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CN104833063A (en
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杨亚龙
方潜生
张振亚
吴豪
詹治国
朱徐来
魏宇欣
汪明月
罗林森
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Anhui New Infrastructure Co Ltd
Anhui Jianzhu University
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Anhui Sijian Holding Group Co ltd
Anhui Jianzhu University
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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
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/10—Temperature
    • 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
    • F24F2110/00—Control inputs relating to air properties
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/20—Humidity
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/30—Velocity
    • 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)
  • Life Sciences & Earth Sciences (AREA)
  • Atmospheric Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Signal Processing (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

An air conditioner control method includes the following steps: s1: training historical physiological parameters, indoor environment parameters, personal parameters and subjective evaluation results of the thermal comfort level of the user to obtain a human body thermal comfort level model of the user; s2, acquiring the parameters of the user at the current moment, inputting the parameters into the human body thermal comfort model to obtain a PMV output value, and outputting an operation instruction according to the PMV output value; s3: sending the operation instruction to an air conditioner to change the running state of the air conditioner; s4, after a time period, continuing to execute the step S2 until the PMV output value is within the preset PMV threshold range; the invention also provides an air conditioner control system using the method. The air conditioner control method and the air conditioner control system are carried out by taking human body thermal comfort as a starting point, and an air conditioner adjusting mode which is most suitable for a user is made according to the thermal comfort condition of the current user, so that the intelligent automatic adjustment of an air conditioner system is completed, and the dynamic thermal comfort control of an indoor environment is realized.

Description

A kind of air conditioning control method and system
Technical field
It is more particularly to a kind of to be adjusted based on human body physiological parameter and the air-conditioning of indoor environment the present invention relates to airconditioning control field Save method and system.
Background technology
Nowadays, air-conditioning has turned into improves the indispensable part of the wet situation of indoor environment heat, by regulating and controlling temperature, wet The setting value of degree and wind speed is that the regulation and control to indoor environment parameter can be achieved, and then changes the thermal comfort situation of human body.
On the control of air-conditioning system, user changes interior typically by regulation humiture and the setting value of wind speed The hot wet situation of environment.This there is following problem：1) setting value of air-conditioning system, often by what is carried out manually, System can not automatically adjust setting value according to human comfort's state；2) user setting temperature value, humidity value and air speed value not It must be required under thermally comfortable environment, often also need to user and repeatedly adjust manually, inconvenience is brought for user；3) Blindly set manually, user can not find an optimal ambient parameter combination in a short time.For above-mentioned reality, at present Existing related invention patent.The A of Publication No. CN 104061663 patent proposes a kind of air conditioning control method and device, leads to Cross measuring environment temperature and humidity to evaluate environment to calculate human body sendible temperature, make control decision, but the invention In acquired sendible temperature be to calculate, be not that direct measurement obtains, accuracy and validity are worth investigating；It is public The patent that the number of opening is CN 103062871A proposes a kind of air-conditioner control system based on skin temperature, but in the invention only It is the simple index by the use of human skin temperature as evaluation thermal comfort, does not possess convincingness rather, in addition, being adjusted When, also simply temperature is adjusted, does not provide the optimum combination of parameter；Publication No. CN 103398451A patent carries A kind of multidimensional comfort level indoor environmental condition control method and system based on study user behavior are gone out, but have not had in control process In view of the influence of physiological parameter.
The content of the invention
In order to solve the above technical problems, the invention provides a kind of air conditioning control method, it comprises the following steps：
A kind of air conditioning control method, it is characterised in that comprise the following steps：
S1：Obtain a user the history physiological parameter of multiple different time points, indoor environment parameter, personal parameter and Hot comfort subjective assessment of the user to now indoor environment, is instructed to the parameter and hot comfort subjective evaluation result Practice, obtain the human thermal comfort degree model of the user, the human thermal comfort degree mode input is user's physiological parameter, the interior Ambient parameter, personal parameter, are exported as pmv value；
S2:The real-time physiological parameter, indoor environment parameter and personal parameter of user is obtained, is inputted to the human thermal comfort Model is spent, obtains a PMV output valves, if the PMV output valves not in default PMV threshold ranges, export an operational order；
S3：The operational order is sent to air-conditioning, performs the running status that the operational order changes air-conditioning；
S4:After being spaced a period, step S2 is continued executing with until the PMV output valves are in default PMV threshold ranges It is interior.
It is preferred that the physiological parameter, which includes blood pressure, skin electricity and EGC parameter, the indoor environment parameter, includes temperature Degree, humidity and wind speed, the hot comfort subjective assessment include temperature evaluation of estimate, humidity evaluation of estimate and wind speed evaluation of estimate, The personal parameter includes clothing situation and activity, and is represented by evaluation of estimate.
It is preferred that the process for training the human thermal comfort degree model for obtaining the user includes：
Fusion Features and dimensionality reduction are carried out after blood pressure, skin electricity and EGC parameter are carried out into feature extraction, will be new after dimensionality reduction Characteristic vector, indoor environment parameter, clothing parameter and activity are input in BP neural network grader, with heat as inputting Comfort level subjective evaluation result is exported as target, and the BP neural network grader is trained to obtain human thermal comfort degree Model.
It is preferred that default PMV threshold ranges are PMV in the step S2min≤ PMV ＜ PMVmax, according to obtained PMV The detailed process that output valve exports an operational order includes：
As PMV ＜ PMVminWhen, its operational order exported is minimum to be first adjusted to the wind speed of air-conditioning, and according to PMV tool Body value continues to output following operational order：
As PMV ＜ PMVminWhen -2, air-conditioner temperature setting value is heightened 3 DEG C,
Work as PMVmin- 2≤PMV ＜ PMVminWhen -1, air-conditioner temperature setting value is heightened 2 DEG C,
Work as PMVmin- 1≤PMV ＜ PMVminWhen, air conditioning exhausting speed is reduced, by air-conditioner temperature if wind speed is low wind shelves Setting value heightens 1 DEG C；
Work as PMVmaxDuring≤PMV, its operational order exported is that the wind speed of air-conditioning first is adjusted into highest, and according to PMV tool Body value continues to output following operational order：
Work as PMVmaxDuring+2≤PMV, air-conditioner temperature setting value is turned down 3 DEG C；
Work as PMVmax+ 1≤PMV ＜ PMVmaxWhen+2, air-conditioner temperature setting value is turned down 2 DEG C；
Work as PMVmax≤ PMV ＜ PMVmaxWhen+1, air conditioning exhausting speed is improved, if wind speed is to be most high-grade, then by air-conditioning temperature The setting value of degree turns down 1 DEG C.
Present invention also offers a kind of air-conditioner control system, and it includes：
Room Environment Data-collecting unit, for gathering indoor environment parameter；
Physiological parameter acquisition unit, for sensing the physiological parameter of user；
Evaluation unit, for inputting personal parameter and hot comfort subjective assessment；
Training unit, obtain history physiological parameter, indoor environment parameter, individual ginseng of the user in multiple different time points The hot comfort subjective assessment of number and the user to now indoor environment, to the parameter and hot comfort subjective evaluation result Training obtains the human thermal comfort degree model of the user, and the human thermal comfort degree mode input is user's physiological parameter, the room Interior ambient parameter, personal parameter, are exported as pmv value；
Output unit is instructed, obtains the human thermal comfort degree model, and receive the real-time physiological parameter of user, indoor ring Border parameter, personal parameter, input to the human thermal comfort degree model, obtain a PMV output valves, and it is defeated according to the pmv value Go out an operational order；
Intelligent remote control unit, receive the operational order and send to air-conditioning.
It is preferred that the physiological data of physiological parameter acquisition unit collection includes blood pressure, skin electricity and EGC parameter, indoor ring The ambient parameter of border parameter acquisition unit collection includes temperature, humidity and wind speed, and the hot comfort subjective assessment includes temperature Evaluation of estimate, humidity evaluation of estimate and wind speed evaluation of estimate are spent, the personal parameter includes clothing situation and activity, and passes through evaluation Value represents.
It is preferred that the process that the training unit obtains the human thermal comfort degree model of the user includes：
Fusion Features and dimensionality reduction are carried out after blood pressure, skin electricity and EGC parameter are carried out into feature extraction, will be new after dimensionality reduction Characteristic vector, indoor environment parameter, personal parameter are input in BP neural network grader, by hot comfort master as input See evaluation result to export as target, the BP neural network grader is trained to obtain human thermal comfort degree model.
It is preferred that it is PMV that the instruction output unit, which presets a scope,min≤ PMV ＜ PMVmaxPMV threshold values, when obtaining PMV output valves in this threshold range when, instruction output unit do not perform any operation；
As PMV ＜ PMVminWhen, its operational order exported is minimum to be first adjusted to the wind speed of air-conditioning, and according to PMV tool Body value continues to output following operational order：
As PMV ＜ PMVminWhen -2, air-conditioner temperature setting value is heightened 3 DEG C,
Work as PMVmin- 2≤PMV ＜ PMVminWhen -1, air-conditioner temperature setting value is heightened 2 DEG C,
Work as PMVmin- 1≤PMV ＜ PMVminWhen, air conditioning exhausting speed is reduced, by air-conditioner temperature if wind speed is low wind shelves Setting value heightens 1 DEG C；
Work as PMVmaxDuring≤PMV, its operational order exported is that the wind speed of air-conditioning first is adjusted into highest, and according to PMV tool Body value continues to output following operational order：
Work as PMVmaxDuring+2≤PMV, air-conditioner temperature setting value is turned down 3 DEG C；
Work as PMVmax+ 1≤PMV ＜ PMVmaxWhen+2, air-conditioner temperature setting value is turned down 2 DEG C；
Work as PMVmax≤ PMV ＜ PMVmaxWhen+1, air conditioning exhausting speed is improved, if wind speed is to be most high-grade, then by air-conditioning temperature The setting value of degree turns down 1 DEG C.
The invention has the advantages that：
Air conditioning control method provided by the invention and system, according to the physiological parameter of specific user, ambient parameter, individual ginseng Number and hot comfort subjective evaluation result, obtain the human thermal comfort degree model of specific user, using the thermal comfort of user to go out Point is sent out, the air-conditioning regulative mode of the optimum user is made, completes the intelligent automatic regulated of air-conditioning system, realize indoor ring The dynamic thermal comfort control in border.
Certainly, any product for implementing the present invention it is not absolutely required to reach all the above advantage simultaneously.
Brief description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, used required for being described below to embodiment Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for ability For the those of ordinary skill of domain, on the premise of not paying creative work, it can also be obtained according to these accompanying drawings other attached Figure.
Fig. 1 is air conditioning control method flow chart provided in an embodiment of the present invention；
Fig. 2 is air-conditioner control system provided in an embodiment of the present invention composition figure.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on Embodiment in the present invention, those of ordinary skill in the art are obtained all other under the premise of creative work is not made Embodiment, belong to the scope of protection of the invention.
It is as shown in Figure 1 air conditioning control method provided in an embodiment of the present invention, it comprises the following steps：
S1：Obtain a user the history physiological parameter of multiple different time points, indoor environment parameter, personal parameter and Hot comfort subjective assessment of the user to indoor environment now, the parameter and hot comfort subjective evaluation result are carried out Training, obtains the human thermal comfort degree model of the user, the human thermal comfort degree mode input is user's physiological parameter, the room Interior ambient parameter, personal parameter, are exported as pmv value；
S2:Real-time physiological parameter, indoor environment parameter and the personal parameter of user is obtained, inputs to the Studies of Human Body Heat and relaxes Appropriate model, a PMV output valves are obtained, if the PMV output valves, not in default PMV threshold ranges, the operation of output one refers to Order；
S3：The operational order is sent to air-conditioning, performs the running status that the operational order changes air-conditioning；
S4:After being spaced a period, step S2 is continued executing with until the PMV output valves are in default PMV threshold ranges It is interior.
In the present embodiment, the physiological parameter includes blood pressure, skin electricity and EGC parameter, naturally it is also possible to increases other lifes Parameter is managed, the indoor environment parameter includes temperature, humidity and air speed data, and the hot comfort subjective assessment includes temperature Comfort Evaluation value, humidity Comfort Evaluation value and wind speed Comfort Evaluation value, the personal parameter evaluation, which includes clothing, joins Number is evaluation of estimate from small to large by being as thin as thick evaluation of estimate, activity for clothing.
Wherein temperature pleasant degree evaluation of estimate, humidity Comfort Evaluation value and wind speed Comfort Evaluation value have seven respectively Scale, temperature pleasant degree evaluation of estimate is as shown in table 1, and subjective assessment value from low to high is respectively -3, -2, -1,0,1,2,3；
Table 1
Humidity Comfort Evaluation value is as shown in table 2, by dry to humidity subjective assessment value be respectively -3, -2, -1,0,1, 2、3；
Table 2
Wind speed Comfort Evaluation value is as shown in table 3, is respectively -3, -2, -1,0,1,2,3 by the subjective assessment value of slow-to-fast；
Table 3
Clothing situation evaluation of estimate is as shown in table 4, is respectively -3, -2, -1,0,1,2,3 by the subjective assessment value for being as thin as thickness；
Table 4
Activity evaluation of estimate is as shown in table 5, and subjective assessment value from small to large is respectively -3, -2, -1,0,1,2,3；
Table 5
The process for the human thermal comfort degree model for obtaining the user is trained in the present embodiment to be included：
Fusion Features and dimensionality reduction are carried out after blood pressure, skin electricity and EGC parameter are carried out into feature extraction, will be new after dimensionality reduction Characteristic vector, indoor environment parameter are input in BP neural network grader, by hot comfort subjective evaluation result as input Exported as target, the BP neural network grader is trained to obtain human thermal comfort degree model.
Select the polynary physiological parameter feature extracting method of method of wavelet packet.This method is not only decomposed to approaching part, Same decomposition is also carried out to detail section.And WAVELET PACKET DECOMPOSITION method has the unfixed feature of time-frequency, can be arbitrarily more Scale Decomposition, the defects of fixation different from wavelet decomposition time-frequency, WAVELET PACKET DECOMPOSITION is provided for time frequency analysis more than greatly selection Ground, it is capable of the more true careful essence and feature that reflect signal.
Statistical nature and energy feature are extracted using method of wavelet packet, because the discrimination of energy feature is higher, therefore, choosing The energy feature of polynary physiological parameter is selected as its feature.
Because more than 99% energy concentrates on 0-40Hz, by taking blood pressure signal as an example, energy is carried out using method of wavelet packet During the experiment of feature extraction, we carry out 3 layers of decomposition to blood pressure signal, produce eight frequency bands, extract the standard deviation of each frequency band, Norm and energy, obtain 24 dimensional signal features.
The physiological signal different to other two kinds carries out feature extraction respectively, preserves the data handled well.Next to three The different characteristic of kind physiological signal is merged.Select the fusion in characteristic layer progress data, blending algorithm selection MIV algorithms.
The three kinds of physiological signals chosen respectively are extracted the characteristic signal of 24 dimensions, totally 72 dimension.Using MIV algorithms to 72 dimensional features The calculating of MIV values is carried out, and feature is ranked up according to the order of MIV values from big to small.
Larger preceding 82 dimensional feature vector of MIV values is selected, as the characteristic vector after fusion dimensionality reduction.
For the user in specific room, the multiple parameters of correlation are detected, and parameter is updated to above-mentioned human thermal comfort mould In type, current pmv value is drawn.Prediction averagely ballot index PMV (Predicted Mean Vote) is that professor Fanger proposes A kind of evaluation index for characterizing human thermal comfort.
PMV 7 grades of hotness scales, specifically refer to table 6.
Table 6
Current thermal environment is unsatisfied with to state with PPD (Predicted Percentage of Dissatisfied) Percentage.
PPD=100-95exp [- 0.03353 × PMV4+0.2179×PMV 2] (1)
As PMV=0, PPD is not 0, PPD=5%, and the people for still having 5% feels dissatisfied to current thermal environment, This is due to that there is difference physiologically between men.
International standard ISO7730 is provided to the scope of PPD values：Thermal environment when PPD values are less than 10% is to meet Human thermal comfort requirement.
It can be obtained according to formula (1), as PPD=10%, PMV=± 0.5.So as 0.5≤PMV ＜+0.5, it is believed that heat Environment meets thermal comfort requirement.
Default PMV threshold ranges are -0.5≤PMV ＜ 0.5 in step S2 in the present embodiment, are exported according to obtained PMV The detailed process that value exports an operational order includes：
As PMV ＜ 0.5, its operational order exported is minimum for the wind speed of air-conditioning is adjusted to；
As PMV ＜ -2.5, its operational order exported is that air-conditioner temperature setting value is heightened into 3 DEG C；
As -2.5≤PMV ＜ -1.5, its operational order exported is that air-conditioner temperature setting value is heightened into 2 DEG C；
As -1.5≤PMV ＜ -0.5, its operational order exported is reduces air conditioning exhausting speed, if wind speed has been low wind Air-conditioner temperature setting value is then heightened 1 DEG C by shelves；
As 0.5≤PMV, operational order of its output is the wind speed that will heighten air conditioning exhausting；
As 2.5≤PMV, its operational order exported is that air-conditioner temperature setting value is turned down into 3 DEG C；
As 1.5≤PMV ＜ 2.5, its operational order exported is that air-conditioner temperature setting value is turned down into 2 DEG C；
As 0.5≤PMV ＜ 1.5, its operational order exported is improves air conditioning exhausting speed, if wind speed has been highest Shelves, then turn down 1 DEG C by the setting value of air-conditioner temperature.
Certainly, the present invention is according to particular user, and the PMV threshold ranges of setting are different, and it is normal that the present embodiment only has one The threshold range seen illustrates as an example, and the present embodiment does not limit the scope of the present invention.
As shown in Fig. 2 the embodiment of the present invention additionally provides a kind of air-conditioner control system, it includes：
Room Environment Data-collecting unit 1, for gathering indoor environment parameter；
Physiological parameter acquisition unit 2, for sensing the physiological parameter of user；
Evaluation unit 3, for inputting personal parameter and hot comfort subjective assessment；Evaluation unit 3 is by the individual ginseng of input Number and hot comfort subjective assessment are sent into training unit 3；
Training unit 4, obtain history physiological parameter, indoor environment parameter, individual of the user in multiple different time points The hot comfort subjective assessment of parameter and the user to indoor environment now, to the parameter and hot comfort subjective assessment Training obtains the human thermal comfort degree model of the user, and the human thermal comfort degree mode input is user's physiological parameter, the room Interior ambient parameter, personal parameter, are exported as pmv value；
Output unit 5 is instructed, obtains the human thermal comfort degree model, and receive the real-time physiological parameter of user, interior Ambient parameter, personal parameter, input to the human thermal comfort degree model, obtain a PMV output valves, and according to the pmv value Export an operational order；
Intelligent remote control unit 6, receive the operational order and send to air-conditioning 7.
The physiological data that physiological parameter acquisition unit 2 gathers includes blood pressure, skin electricity and EGC parameter, indoor environment parameter The ambient parameter that collecting unit 1 gathers includes temperature, humidity and wind speed, and the hot comfort subjective assessment is evaluated including temperature Value, humidity evaluation of estimate and wind speed evaluation of estimate, the personal parameter include clothing situation and activity, with corresponding evaluation of estimate table Show.
The process that training unit 4 obtains the human thermal comfort degree model of the user includes：
Fusion Features and dimensionality reduction are carried out after blood pressure, skin electricity and EGC parameter are carried out into feature extraction, will be new after dimensionality reduction Characteristic vector, indoor environment parameter, personal parameter are input in BP neural network grader, by hot comfort master as input See evaluation result to export as target, the BP neural network grader is trained to obtain human thermal comfort degree model.
Output unit 5 is instructed to preset the PMV threshold values that a scope is -0.5≤PMV ＜ 0.5, when obtained PMV output valves exist When in this threshold range, instruction output unit 5 does not perform any operation；
As PMV ＜ 0.5, its operational order exported is minimum for the wind speed of air-conditioning is adjusted to；
As PMV ＜ -2.5, its operational order exported is that air-conditioner temperature setting value is heightened into 3 DEG C；
As -2.5≤PMV ＜ -1.5, its operational order exported is that air-conditioner temperature setting value is heightened into 2 DEG C；
As -1.5≤PMV ＜ -0.5, its operational order exported is reduces air conditioning exhausting speed, if wind speed has been low wind Air-conditioner temperature setting value is then heightened 1 DEG C by shelves；
As 0.5≤PMV, operational order of its output is the wind speed that will heighten air conditioning exhausting；
As 2.5≤PMV, its operational order exported is that air-conditioner temperature setting value is turned down into 3 DEG C；
As 1.5≤PMV ＜ 2.5, its operational order exported is that air-conditioner temperature setting value is turned down into 2 DEG C；
As 0.5≤PMV ＜ 1.5, its operational order exported is improves air conditioning exhausting speed, if wind speed has been highest Shelves, then turn down 1 DEG C by the setting value of air-conditioner temperature.
Air conditioning control method provided by the invention and system, according to the physiological parameter of specific user, ambient parameter, individual ginseng Number and hot comfort subjective evaluation result, obtain the human thermal comfort degree model of specific user, realize according to specific user Real-time above-mentioned parameter make the air-conditioning regulative mode of the optimum user, complete the intelligent automatic regulated of air-conditioning system, it is real The dynamic thermal comfort control of existing indoor environment.
Present invention disclosed above preferred embodiment is only intended to help and illustrates the present invention.Preferred embodiment is not detailed All details are described, it is only described embodiment also not limit the invention.Obviously, according to the content of this specification, It can make many modifications and variations.This specification is chosen and specifically describes these embodiments, is to preferably explain the present invention Principle and practical application so that skilled artisan can be best understood by and utilize the present invention.The present invention is only Limited by claims and its four corner and equivalent.

Claims (2)

1. a kind of air conditioning control method, it is characterised in that comprise the following steps：
S1：A user is obtained in the history physiological parameter of multiple different time points, indoor environment parameter, personal parameter and the use Hot comfort subjective assessment of the family to now indoor environment, is trained to the parameter and hot comfort subjective evaluation result, The human thermal comfort degree model of the user is obtained, the human thermal comfort degree mode input is user's physiological parameter, indoor ring Border parameter, personal parameter, are exported as pmv value；
S2:The real-time physiological parameter, indoor environment parameter and personal parameter of user is obtained, is inputted to the human thermal comfort degree mould Type, a PMV output valves are obtained, if the PMV output valves not in default PMV threshold ranges, export an operational order；
S3：The operational order is sent to air-conditioning, performs the running status that the operational order changes air-conditioning；
S4:After being spaced a period, step S2 is continued executing with until the PMV output valves are in default PMV threshold ranges；
Wherein described physiological parameter include blood pressure, skin electricity and EGC parameter, the indoor environment parameter include temperature, wind speed with Humidity parameter, the personal parameter include clothing situation and activity, represented with evaluation of estimate, the hot comfort subjective assessment Including temperature evaluation of estimate, humidity evaluation of estimate and wind speed evaluation of estimate；
The process for training the human thermal comfort degree model for obtaining the user includes：
Fusion Features and dimensionality reduction are carried out after blood pressure, skin electricity and EGC parameter are carried out into feature extraction, by the new feature after dimensionality reduction Vector, indoor environment parameter, clothing parameter and activity are input in BP neural network grader, with thermal comfort as inputting Spend subjective evaluation result to export as target, the BP neural network grader is trained to obtain human thermal comfort degree mould Type；
Default PMV threshold ranges are PMV in the step S2min≤ PMV ＜ PMVmax, exported according to obtained PMV output valves The detailed process of one operational order includes：
As PMV ＜ PMVminWhen, its operational order exported is minimum to be first adjusted to the wind speed of air-conditioning, and according to PMV occurrence Continue to output following operational order：
As PMV ＜ PMVminWhen -2, air-conditioner temperature setting value is heightened 3 DEG C,
Work as PMVmin- 2≤PMV ＜ PMVminWhen -1, air-conditioner temperature setting value is heightened 2 DEG C,
Work as PMVmin- 1≤PMV ＜ PMVminWhen, air conditioning exhausting speed is reduced, sets air-conditioner temperature if wind speed is low wind shelves Value heightens 1 DEG C；
Work as PMVmaxDuring≤PMV, its operational order exported is that the wind speed of air-conditioning first is adjusted into highest, and according to PMV occurrence Continue to output following operational order：
Work as PMVmaxDuring+2≤PMV, air-conditioner temperature setting value is turned down 3 DEG C；
Work as PMVmax+ 1≤PMV ＜ PMVmaxWhen+2, air-conditioner temperature setting value is turned down 2 DEG C；
Work as PMVmax≤ PMV ＜ PMVmaxWhen+1, air conditioning exhausting speed is improved, if wind speed is to be most high-grade, then by air-conditioner temperature Setting value turns down 1 DEG C.
A kind of 2. air-conditioner control system, it is characterised in that including：
Room Environment Data-collecting unit, for gathering indoor environment parameter；
Physiological parameter acquisition unit, for sensing the physiological parameter of user；
Evaluation unit, for inputting personal parameter and hot comfort subjective assessment；
Training unit, obtain a user multiple different time points history physiological parameter, indoor environment parameter, personal parameter with And hot comfort subjective assessment, each parameter and hot comfort subjective evaluation result are trained, obtain the people of the user Body heat comfort level model, the human thermal comfort degree mode input are user's physiological parameter, indoor environment parameter, individual ginseng Number, is exported as pmv value；
Output unit is instructed, obtains the human thermal comfort degree model, and receives the real-time physiological parameter of user, indoor environment ginseng Several, personal parameter, input to the human thermal comfort degree model, obtain a PMV output valves, and one is exported according to the pmv value Operational order；
Intelligent remote control unit, receive the operational order and send to air-conditioning；
The physiological data of physiological parameter acquisition unit collection includes blood pressure, skin electricity and EGC parameter, Room Environment Data-collecting The ambient parameter of unit collection includes temperature, humidity and wind speed, and the personal parameter includes clothing situation and activity, uses phase The evaluation of estimate answered represents that the hot comfort subjective assessment includes temperature evaluation of estimate, humidity evaluation of estimate and wind speed evaluation of estimate；
The process that the training unit obtains the human thermal comfort degree model of the user includes：
Fusion Features and dimensionality reduction are carried out after blood pressure, skin electricity and EGC parameter are carried out into feature extraction, by the new feature after dimensionality reduction Vector, indoor environment parameter, personal parameter are input in BP neural network grader as input, hot comfort subjectivity are commented Valency result is exported as target, and the BP neural network grader is trained to obtain human thermal comfort degree model；
It is PMV that the instruction output unit, which presets a scope,min≤ PMV ＜ PMVmaxPMV threshold values, when obtained PMV output valves When in this threshold range, instruction output unit does not perform any operation；
As PMV ＜ PMV1When, its operational order exported is minimum to be first adjusted to the wind speed of air-conditioning, and according to PMV occurrence after The continuous following operational order of output：
As PMV ＜ PMVminWhen -2, air-conditioner temperature setting value is heightened 3 DEG C,
Work as PMVmin- 2≤PMV ＜ PMVminWhen -1, air-conditioner temperature setting value is heightened 2 DEG C,
Work as PMVmin- 1≤PMV ＜ PMVminWhen, air conditioning exhausting speed is reduced, sets air-conditioner temperature if wind speed is low wind shelves Value heightens 1 DEG C；
Work as PMVmaxDuring≤PMV, its operational order exported is that the wind speed of air-conditioning first is adjusted into highest, and according to PMV occurrence Continue to output following operational order：
Work as PMVmaxDuring+2≤PMV, air-conditioner temperature setting value is turned down 3 DEG C；
Work as PMVmax+ 1≤PMV ＜ PMV2When+2, air-conditioner temperature setting value is turned down 2 DEG C；
Work as PMVmax≤ PMV ＜ PMVmaxWhen+1, air conditioning exhausting speed is improved, if wind speed is to be most high-grade, then by air-conditioner temperature Setting value turns down 1 DEG C.
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