CN106403162A - Local heat comfort control method, local heat comfort controller and control system - Google Patents
Local heat comfort control method, local heat comfort controller and control system Download PDFInfo
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Abstract
The invention discloses a local heat comfort control method, a local heat comfort controller and a control system. The local heat comfort control method comprises the following steps: acquiring each parameter value, acquired by a sensor and related to PMV, of target local part every preset time, and determining a PMV first value of the target local part; determining first control information based on the PMV first value and a PMV second value, wherein the PMV second value is a preset PMV standard value for controlling the target local heat comfort; controlling the opening degree of a control valve at the air inlet of an air conditioner of the target local part based on the valve opening degree indicated by the first control information, acquiring each parameter value acquired by the sensor and related to the PMV every preset time, and determining the PMV first value of the target local part. According to the local heat comfort control method disclosed by the invention, by virtue of the two PMV values of the local part, the first control information is determined, and the flow rate of the air inlet of the air conditioner of the local part is controlled, so that different requirements, on comfort, of indoor people can be satisfied.
Description
Technical field
The present invention relates to thermal comfort control technology field is and in particular to a kind of local thermal comfort control method, localized heat relax
Suitable controller and control system.
Background technology
Because thermal comfort all has important impact for the work of people and living environment, so, indoor thermal comfort is managed
By and based on predict average votes (Predicted Mean Vote, PMV) indoor thermal comfort control method becoming section
One of focus of skill circle research.It is newly old that PMV combines air themperature, mean radiant temperature, air velocity, air humidity, human body
Metabolic rate and six factors of clothing thermal resistance, are the indexs the most comprehensively evaluating thermal environment so far, have been incorporated into international standard
IS07730.ASHRAE begins to use 7 grades of hotness indexs within 1996, is shown in Table 1 the 1st row.Comfort evaluation index (PMV) such as table 1
In the 2nd row.
Table 1 comfort evaluation index
The expression formula of PMV equation is：
Wherein：
In formula, parameters are described as follows：
M metabolic rate, W/m2,
W externally does work the heat (to how most of activity is negligible) of consumption, W/m2；
IclClothing thermal resistance, m2·℃/W；
fclDuring dressing the body surface area of people with exposed when people body surface area ratio, dimensionless；
taAir themperature, DEG C；
Mean radiant temperature, DEG C；
varAir velocity, m/s；
paSteam partial pressure, Pa；
hcConvection transfer rate, M/m2·℃；
tclClothing surface temperature, DEG C.
PMV index represents the thermal comfort of most people in same environment, but because the age is different, body constitution is different, property
Not equal factor, PMV index can not represent proprietary thermal comfort.For this reason, Fanger proposes the dissatisfied percentage of prediction
Rate (Predicted Percentage of Dissatisfied, PPD) index is representing crowd unsatisfied to thermal environment hundred
Fraction, and use probability analysis method, the quantitative formula being given between PMV and PPD is：
PMV-PPD index is the index of international at present widely used evaluation thermal comfort.International Standards Organization IS07730 pushes away
Recommend to describe using PMV-PPD index and to evaluate environmental amenity degree.
It is true that to the people in a public office space and identical climatic environment, feeling to indoor thermal comfort
Difference is very big, and this can only be explained by the synthesis of the Multiple factors of analyzing influence human thermal sensation.Thermal comfort is one
Individual statistic concept, on the basis of corresponding forecast model is only built upon most people satisfaction, does not accomplish to take into account everyone
Hotness and thermal comfort.In order to set up, there is " personalized ", local thermal comfort manikin, and study and can meet power conservation requirement
Control method, for the working environment improving office work personnel and raising work efficiency, has important theoretical research value
And actual application value.
At present, adopt central air-conditioning (wall type air conditioner or vertical air conditioner) in public office space, make indoor air temperature difference relatively
Greatly, from air-conditioner air outlet far and near distance, different is felt to thermal comfort.Therefore, still there is a staff to indoor public office
The thermal comfort in place is unsatisfied with.
(1) comfort level of indoor collective office space directly affects the work efficiency of people.To with public an interior
Office space, up to the present, can allow indoor most of staff all feel comfortably cool and the thermal comfort of energy-conservation controls a difficult problem also
Do not solved very well.
(2) either wall-hanging air conditioner, cabinet air-conditioner, or central air-conditioning all cannot meet most of staff to heat
Comfortable requirement, the sensation difference to thermal comfort is also very big.Cause with an office space, single heat can only be adopted
Comfortable it is controlled.
Content of the invention
In view of the above problems, the present invention proposes the one kind overcoming the problems referred to above or solving the above problems at least in part
Local thermal comfort control method, local thermal comfort controller and control system.
For this purpose it is proposed, in a first aspect, the present invention proposes a kind of local thermal comfort control method, including：
Every preset duration, obtain each ginseng related to predicting average votes PMV of the target local of sensor acquisition
Numerical value, determines that the PMV first of described target local is worth；
Be worth based on described PMV first and described target local PMV second value, determine the first control information；Described PMV
Second value is the PMV standard value for controlling described target local thermal comfort set in advance；Described first control information is used for
Indicate the valve opening of the control valve of air-conditioning air inlet of described target local；
Based on the valve opening of described first control information instruction, control the control of the air-conditioning air inlet of described target local
The valve opening of valve, every preset duration, to obtain the related each parameter value of the PMV of described sensor acquisition, to determine described mesh
The PMV first of mark local is worth.
Second aspect, the present invention also proposes a kind of local thermal comfort controller, including：
First determining unit, for every preset duration, the average with prediction of target local obtaining sensor acquisition is thrown
The related each parameter value of poll PMV, determines that the PMV first of described target local is worth；
Second determining unit, for be worth based on described PMV first and described target local PMV second value, determine
One control information；Described PMV second value is the PMV standard value for controlling described target local thermal comfort set in advance；Institute
State the first control information for indicating the valve opening of the control valve of air-conditioning air inlet of described target local；
Control unit, for the valve opening based on described first control information instruction, controls the sky of described target local
Transfer in the valve opening of the control valve in air port, every preset duration, to obtain the related each parameter of the PMV of described sensor acquisition
Value, determines that the PMV first of described target local is worth.
The third aspect, the present invention also proposes a kind of control system, including：
Local thermal comfort controller as described in second aspect, the corresponding sensor of each local thermal comfort controller and complete
Office's thermal comfort controller；
Described local thermal comfort controller connects this corresponding sensor of local thermal comfort controller and described complete respectively
Office's thermal comfort controller.
Compared to prior art, local proposed by the present invention thermal comfort control method, local thermal comfort controller and control
System, by analyzing the relevant factor affecting indoor comfort degree under thermal and humidity environment, by the two of local pmv values, determines first
Control information, controls the valve opening of the control valve of air-conditioning air inlet of local, to control the flow of the air-conditioning air inlet of local,
Realize local thermal comfort to control, for the working environment improving office work personnel and raising work efficiency, meet office work
The difference requirement to comfort level for the personnel, and reach energy-saving purpose, there is important theoretical research value and practical application
It is worth.
Brief description
A kind of local thermal comfort control method flow chart that Fig. 1 provides for first embodiment of the invention；
A kind of local thermal comfort controller architecture figure that Fig. 2 provides for first embodiment of the invention；
Fig. 3 is the indoor public office space overall situation-local thermal comfort control schematic diagram；
Fig. 4 a is OEGPR rule off-line training flow chart；
Fig. 4 b is OEGPR rule on-line prediction flow chart；
Fig. 4 c is OEGPR rule model adaptive updates flow chart；
Fig. 5 is OEGPR rule model structure chart；
Fig. 6 is the second determining unit structure chart, the inside of content representation second determining unit in right side dotted line frame in Fig. 6
Structure chart；
Fig. 7 is the hot comfort distribution curve schematic diagram of indoor all human bodies；
Fig. 8 is the valve opening schematic diagram of seat air outlet.
Specific embodiment
Purpose, technical scheme and advantage for making the embodiment of the present invention are clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is explicitly described it is clear that described embodiment is the present invention
A part of embodiment, rather than whole embodiments.
It should be noted that herein, " first ", " second ", " the 3rd " and " the 4th " is used merely to identical name
Title makes a distinction, rather than implies the relation between these titles or order.
As shown in figure 1, the present embodiment discloses a kind of local thermal comfort control method, it may include following steps 101～103：
101st, every preset duration, obtain sensor acquisition target local to predict average votes PMV related
Each parameter value, determines that the PMV first of described target local is worth.
For example, corresponding sensor acquisition parameter value can be respectively provided with for each related parameter of PMV.
102nd, be worth based on described PMV first and described target local PMV second value, determine the first control information；Institute
Stating PMV second value is the PMV standard value for controlling described target local thermal comfort set in advance；Described first control information
For indicating the valve opening of the control valve of the air-conditioning air inlet of described target local.
In the present embodiment, determine the first control information, for example, PMV second value is deducted described PMV first and is worth, poor
Value, then passes through respective algorithms, calculates the valve opening of control valve.For example, the valve of the control valve of default air-conditioning air inlet
Aperture increases corresponding first difference range, and the valve opening reduction corresponding second of the control valve of default air-conditioning air inlet is poor
Value scope, if difference is in the first difference range, the first control information is used for indicating the air-conditioning air inlet of described target local
Control valve valve opening increase；If difference is in the second difference range, the first control information is used for indicating described target
The valve opening of the control valve of air-conditioning air inlet of local reduces.
103rd, the valve opening based on described first control information instruction, controls the air-conditioning air inlet of described target local
The valve opening of control valve, thus controlling the flow of the air-conditioning air inlet of described target local, every preset duration, to obtain institute
State the related each parameter value of the PMV of sensor acquisition, determine that the PMV first of described target local is worth.
Compared to prior art, thermal comfort control method in local disclosed in the present embodiment, by analyzing shadow under thermal and humidity environment
Ring the relevant factor of indoor comfort degree, by the two of local pmv values, determine the first control information, control the air-conditioning of local to enter
The valve opening of the control valve in air port, to control the flow of the air-conditioning air inlet of local, realizes local thermal comfort and controls, for changing
The working environment of kind office work personnel and raising work efficiency, meet the difference requirement to comfort level for the office work personnel, and
Reach energy-saving purpose, there is important theoretical research value and actual application value.
In a specific example, after determining PMV first value of described target local described in step 101, also include
The unshowned step 102 of Fig. 1 ' and 103 '：
102 ', be worth based on described PMV first and described target local PMV second value, determine the second control information；Institute
State the second control information for indicating the valve opening of the control valve of natural wind air inlet of described target local；
103 ', the valve opening based on described second control information instruction, controls the natural wind air intake of described target local
The valve opening of the control valve of mouth, every preset duration, to obtain the related each parameter value of the PMV of described sensor acquisition, really
The PMV first of fixed described target local is worth.
The present embodiment passes through two pmv values of local, determines the first control information and the second control information, to control respectively
The flow of the natural wind air inlet of the flow of air-conditioning air inlet of local and local, realizes more rapidly and effectively to localized heat
Comfortable control.
In a specific example, described in step 101, determine that the PMV first of described target local is worth, including：Using pre-
If Online integration Gaussian process return OEGPR rule, determine that the PMV first of described target local is worth.
In a specific example, after determining PMV first value of described target local described in step 101, also include
Step 101 not shown in Fig. 1 '：
101 ', PMV first value of described target local is reported overall thermal comfort controller, so that described overall situation thermal comfort
The PMV based on each local for the controller first is worth, determine the overall situation PMV first be worth, and based on described the overall situation PMV first be worth and
PMV the 3rd value of the overall situation, determines the 3rd control information；Described PMV the 3rd is worth for set in advance for controlling overall thermal comfort
PMV standard value；Described 3rd control information is used for indicating the valve opening of the control valve of air-conditioning air inlet of the overall situation；And be based on
The valve opening of described 3rd control information instruction, controls the valve opening of the control valve of air-conditioning air inlet of the overall situation, thus real
Now control the flow of the air-conditioning air inlet of the overall situation.
In a specific example, after determining PMV first value of described target local described in step 101, also include
Step 101 not shown in Fig. 1 "：
101 ", PMV first value of described target local is reported overall thermal comfort controller, so that described overall situation thermal comfort
The PMV based on each local for the controller first is worth, determine the overall situation PMV first be worth, and based on described the overall situation PMV first be worth and
PMV the 3rd value of the overall situation, determines the 3rd control information and the 4th control information；Described PMV the 3rd is worth for use set in advance
In the PMV standard value controlling overall thermal comfort；Described 3rd control information is used for indicating the control valve of the air-conditioning air inlet of the overall situation
Valve opening；Described 4th control information is used for indicating the valve opening of the control valve of natural wind air inlet of the overall situation；And base
In the valve opening of described 3rd control information and the instruction of the 4th control information, the air-conditioning air inlet of the overall situation and natural wind is controlled to enter
The valve opening of the control valve in air port.
As shown in Fig. 2 the present embodiment discloses a kind of local thermal comfort controller, it may include with lower unit：First determines list
First 21, second determining unit 22 and control unit 23, each unit is described as follows：
First determining unit 21, for every preset duration, obtain sensor acquisition target local average with prediction
The related each parameter value of votes PMV, determines that the PMV first of described target local is worth；
Second determining unit 22, for be worth based on described PMV first and described target local PMV second value, determine
First control information；Described PMV second value is the PMV standard value for controlling described target local thermal comfort set in advance；
Described first control information is used for indicating the valve opening of the control valve of air-conditioning air inlet of described target local；
Control unit 23, for the valve opening based on described first control information instruction, controls described target local
The valve opening of the control valve of air-conditioning air inlet, every preset duration, to obtain the related each ginseng of the PMV of described sensor acquisition
Numerical value, determines that the PMV first of described target local is worth.
Thermal comfort controller in local disclosed in the present embodiment, the local thermal comfort control method flow process shown in achievable Fig. 1,
Therefore, the effect of local thermal comfort controller in the present embodiment and explanation can be found in the embodiment of the method shown in Fig. 1, and here is not
Repeat again.
In a specific example, described second determining unit 22, it is additionally operable to described first determining unit 21 and determine institute
After stating PMV first value of target local, be worth based on described PMV first and described target local PMV second value, determine
Two control information；Described second control information is used for indicating that the valve of the control valve of natural wind air inlet of described target local is opened
Degree；
Described control unit 23, is additionally operable to the valve opening based on described second control information instruction, controls described target
The valve opening of the control valve of natural wind air inlet of local, every preset duration, to obtain the PMV phase of described sensor acquisition
The each parameter value closing, determines that the PMV first of described target local is worth.
In a specific example, described first determining unit 21, specifically for using default Online integration Gauss
Process returns OEGPR rule, determines that the PMV first of described target local is worth.
In a specific example, it is unshowned that the local thermal comfort controller shown in Fig. 2 also includes Fig. 2：
Reporting unit 24, after determining PMV first value of described target local for described first determining unit 21, by institute
PMV first value stating target local reports overall thermal comfort controller.
In addition, the present invention also proposes a kind of control system, the thermal comfort realizing the overall situation-local controls, and specifically includes：
Local thermal comfort controller as shown in Figure 2, the corresponding sensor of each local thermal comfort controller and Overall Thermal
Comfortable controller；
Described local thermal comfort controller connects this corresponding sensor of local thermal comfort controller and described complete respectively
Office's thermal comfort controller.
Below local thermal comfort control flow is further illustrated for application scenarios with indoor public office space.
Fig. 3 is the indoor public office space overall situation-local thermal comfort control schematic diagram.
In Fig. 3, Industrial Computer Control system may include the overall thermal comfort controller referring in above-described embodiment.Locally
Control system may include the local thermal comfort controller referring in above-described embodiment.PMVr1To PMVrMCarry in above-described embodiment
And the PMV standard value for controlling local thermal comfort set in advance because Fig. 3 has M seat, therefore have M PMV standard
Value, i.e. PMVr1To PMVrM.
PMV in Fig. 31To PMVMActual pmv value for each local (i.e. 1,2 ..., M)；
V in Fig. 31To VMAir velocity for each local (i.e. 1,2 ..., M)；
T in Fig. 31To tMTemperature for each local (i.e. 1,2 ..., M)；
H in Fig. 31To hMHumidity for each local (i.e. 1,2 ..., M).
The recurrence of Online integration Gaussian process (Online Ensemble Gaussian Process Regression,
OEGPR) rule is as follows：
OEGPR rule includes three key operation flow processs：Off-line training (as Fig. 4 a), on-line prediction (as Fig. 4 b) and model
Adaptive updates (as Fig. 4 c).Model structure is as shown in figure 5, implementation step is described below：
(1) collect process input and output data and be used for model training.
(2) it is based on one group of instant learning (Just-in-time Learning, JIT) method of localization structure and meet redundancy
The regional area that degree requires.
(3) set up corresponding Gaussian process for each regional area and return (Gaussian Process
Regression, GPR) and probability data description (Probabilistic Data Descriptor, PDD) model.
(4) average and the side of output variable prediction distribution for a new test sample, is estimated based on local GPR model
Difference.
(5) pass through Bayesian inference and PDD model adaptation estimate the posterior probability with regard to different regional areas for the query point,
And the mixed weight-value as partial model.
(6) by finite mixtures mechanism, local prediction result is fused into global prediction average and the variance of output variable.
(7), when new samples can use, select local GPR and the PDD model with new samples with maximum correlation, based on movement
Window technique implementation model updates.
(8) next query point returns (4) when arriving.
In Fig. 4 a to 4c and Fig. 5, xnewRepresent a new measured value, ym,new(m=1,2 ..., M) represent that local is defeated
Go out,Represent the prediction average of overall situation output, σ2Represent the variance of overall situation output, p (LDm|xnew) represent there is maximum after
Test probability.
Second determining unit structure is built based on artificial neural network (Artificial Neural Networks, ANN),
As shown in Figure 6.ANN network architecture is n × m × 2, and input has n node, i.e. n input quantity；Hidden layer number is 1, and hidden layer is tied
Count as m；Output layer node is 2,2 outputs.
In figure 6, ek=PMVrk-PMV′k, wherein, k=1,2 ..., M, PMVrkFor setting value, PMV 'kIt is based on soft survey
The predictive value of amount model, TrFor indoor temperature setting value, RHrFor indoor relative humidity setting value.Second determining unit is retouched further
State is as shown in dotted line frame on the right side of Fig. 6.
The input variable of this network sets x1 respectively as present deviation value e1K (), x2 is previous one-step prediction value PMVPrediction(k-
1), x3 is for first the first two walks predictive value PMVPrediction(k-2), x4 is current indoor temperature measured value T (k) (DEG C), and x5 is first back
Indoor temperature measurement T (k-1) (DEG C), x6 are current relative humidity measured value RH (k) (%), and x7 is first back relative humidity
Measured value RH (k-1) (%), x8 are current measuring wind speed value v (k) (%) ... ...；Two outputs of ANN controller are respectively
For：u1For controlling the intake of central air-conditioning, u2For controlling the input quantity of natural wind.
Object function J based on optimal control and optimized algorithm, that is, optimized algorithm can adopt " Particle Swarm-fuzzy clustering
(Particles Swarm Optimization-Fuzzy C-Means, PSOFCM) algorithm ", or " Genetic-Fuzzy Clustering
(Genetic Fuzzy C-Means, GFCM) algorithm ".
The target of optimal control algorithm is that (as dozens of minutes) makes indoor thermal comfort and energy in whole setting time section
Consume optimization.Optimization is realized by the minimum of object function.
(1) indoor current air temperature measured value is worked as and first previous Buwen's degree measured value etc. (T (k), T (k-1) ...)；
(2) in each time step away from k, optimum control uHeating (refrigeration)Object function J is exactly made to reach in dozens of minutes
Little output valve, walking operation by n makes object function J reach optimum.
H in formula is energy consumption.
The mathematic(al) representation of the object function of optimum control formula is
J(PHeating (refrigeration),T,TSetting value)=CPheatPHeating (refrigeration)+Ccomf(exp(PMV(T,TSetting value)2)-1) (2)
In formula：PHeating (refrigeration)=heating (refrigeration) operation (W)；
PMV(T,TSetting value)=prediction average voting (-)；
T=indoor air temperature；
TSetting value=indoor set-point temperature；
CPheatThe weight coefficient of=heating item；
CcomfThe weight coefficient of=thermal comfort item.
Fig. 6 principle briefly describes：Based on OEGPR adaptive soft-sensor predict thermal comfort index, i.e. PMV ', predictive value with set
Definite value produces deviation (including currency and preceding value) more afterwards and measurement of correlation parameter value inputs as ANN controller, thus
To calculate the controlled quentity controlled variable of central air-conditioning and natural wind (fresh air), and to be adjusted by object function control optimized algorithm online adaptive
The weights of whole ANN network, to meet the difference requirement to thermal comfort for the office work personnel.
Using Fluid Mechanics Computation (Computational Fluid Dynamics, CFD) software, simulation study interior people
The forecast model to local thermal comfort index different demands for the member；By changing outdoor temperature, indoor temperature, air velocity, air
Humidity etc., the regularity of distribution of the indoor air stream of research and heat transfer, determine the forecast model of indoor local thermal comfort index；It is based on
The optimisation strategy of numerical simulation, determines the design of air conditioning system with variable；Based on CFD model build multi input, multi output,
Non-linear, time-varying complex optimal controlled strategy system；Experimental study for next step provides theoretical foundation.
Set up room model, air-conditioning model, tables and chairs model and anthropometric dummy in Airpak software environment, simulation summer is high
The impact to human thermal comfort degree for the lower indoor thermal environment of temperature.Setting PMV computing formula obtains the average hot comfort of human body.From
The hot comfort distribution curve that 1～14 seat order obtains indoor all human bodies is as shown in Figure 7.
In the case of having seat air-supply to carry out the thermal comfort control of indoor local, valve opening such as Fig. 8 of seat air outlet
Shown.
Test result indicate that, the heat that can be effectively improved human body by way of taking local relief on different seats is relaxed
Appropriateness.This is under traditional air conditioner control, during indoor thermal environment skewness, is a kind of to improve the effective of thermal environment comfort level
Scheme, it is effective, feasible that its result demonstrates local proposed by the present invention thermal comfort control program.
It will be understood by those skilled in the art that each unit in embodiment can be combined into a unit, and in addition
Multiple subelements can be divided into.Except such feature and/or at least some of process or unit are mutual rows
Scold part, to all features disclosed in this specification and so disclosed any method or can be set using any combinations
Standby all processes or unit are combined.Unless expressly stated otherwise, each feature disclosed in this specification can be by carrying
Alternative features for identical, equivalent or similar purpose to replace.
Although it will be appreciated by those of skill in the art that some embodiments described herein include being wrapped in other embodiments
The some features including rather than further feature, but the combination of the feature of different embodiment mean to be in the scope of the present invention it
Interior and form different embodiments.
It will be understood by those skilled in the art that each unit in embodiment can be realized with hardware, or with one or
The software module run on the multiple processor of person is realized, or is realized with combinations thereof.Those skilled in the art should manage
Solution, can realize according to embodiments of the present invention one using microprocessor or digital signal processor (DSP) in practice
The some or all functions of a little or whole parts.The present invention is also implemented as executing method as described herein
Some or all equipment or program of device (for example, computer program and computer program).
Although being described in conjunction with the accompanying embodiments of the present invention, those skilled in the art can be without departing from this
Various modifications and variations are made, such modification and modification each fall within by claims in the case of bright spirit and scope
Within limited range.
Claims (10)
1. a kind of local thermal comfort control method is it is characterised in that include：
Every preset duration, obtain each parameter value related to predicting average votes PMV of the target local of sensor acquisition,
Determine that the PMV first of described target local is worth；
Be worth based on described PMV first and described target local PMV second value, determine the first control information；Described PMV second
It is worth for the PMV standard value for controlling described target local thermal comfort set in advance；Described first control information is used for indicating
The valve opening of the control valve of air-conditioning air inlet of described target local；
Based on the valve opening of described first control information instruction, control the control valve of air-conditioning air inlet of described target local
Valve opening, every preset duration, to obtain the related each parameter value of the PMV of described sensor acquisition, to determine described target office
The PMV in portion first is worth.
2. method according to claim 1 it is characterised in that described determination described target local PMV first value after,
Also include：
Be worth based on described PMV first and described target local PMV second value, determine the second control information；Described second control
Information processed is used for indicating the valve opening of the control valve of natural wind air inlet of described target local；
Based on the valve opening of described second control information instruction, control the control valve of the natural wind air inlet of described target local
Valve opening, with the related each parameter value of the PMV that every preset duration, obtains described sensor acquisition, determine described target
The PMV of local first is worth.
3. method according to claim 1, it is characterised in that the PMV first of described determination described target local is worth, is wrapped
Include：
OEGPR rule is returned using default Online integration Gaussian process, determines that the PMV first of described target local is worth.
4. method according to claim 1 it is characterised in that described determination described target local PMV first value after,
Also include：
PMV first value of described target local is reported overall thermal comfort controller, so that described overall situation thermal comfort controller base
It is worth in the PMV first of each local, determines that the PMV first of the overall situation is worth, and be worth and the overall situation based on the PMV first of the described overall situation
PMV the 3rd is worth, and determines the 3rd control information；Described PMV the 3rd is worth and marks for the PMV for controlling overall thermal comfort set in advance
Quasi- value；Described 3rd control information is used for indicating the valve opening of the control valve of air-conditioning air inlet of the overall situation；And based on described the
The valve opening of three control information instructions, controls the valve opening of the control valve of air-conditioning air inlet of the overall situation.
5. method according to claim 2 it is characterised in that described determination described target local PMV first value after,
Also include：
PMV first value of described target local is reported overall thermal comfort controller, so that described overall situation thermal comfort controller base
It is worth in the PMV first of each local, determines that the PMV first of the overall situation is worth, and be worth and the overall situation based on the PMV first of the described overall situation
PMV the 3rd is worth, and determines the 3rd control information and the 4th control information；Described PMV the 3rd is worth for set in advance for controlling
The PMV standard value of overall thermal comfort；Described 3rd control information is used for indicating the valve of the control valve of air-conditioning air inlet of the overall situation
Aperture；Described 4th control information is used for indicating the valve opening of the control valve of natural wind air inlet of the overall situation；And based on described
3rd control information and the valve opening of the 4th control information instruction, the air-conditioning air inlet of the control overall situation and natural wind air inlet
The valve opening of control valve.
6. a kind of local thermal comfort controller is it is characterised in that include：
First determining unit, for every preset duration, obtain sensor acquisition target local with predict average votes
The related each parameter value of PMV, determines that the PMV first of described target local is worth；
Second determining unit, for be worth based on described PMV first and described target local PMV second value, determine the first control
Information processed；Described PMV second value is the PMV standard value for controlling described target local thermal comfort set in advance；Described
One control information is used for indicating the valve opening of the control valve of air-conditioning air inlet of described target local；
Control unit, for the valve opening based on described first control information instruction, controls the air-conditioning of described target local to enter
The valve opening of the control valve in air port, every preset duration, to obtain the related each parameter value of the PMV of described sensor acquisition,
Determine that the PMV first of described target local is worth.
7. controller according to claim 6 it is characterised in that
Described second determining unit, after being additionally operable to PMV first value that described first determining unit determines described target local, base
In described PMV first be worth and described target local PMV second value, determine the second control information；Described second control information
For indicating the valve opening of the control valve of the natural wind air inlet of described target local；
Described control unit, is additionally operable to the valve opening based on described second control information instruction, controls described target local
The valve opening of the control valve of natural wind air inlet, with related each of the PMV that every preset duration, obtains described sensor acquisition
Parameter value, determines that the PMV first of described target local is worth.
8. controller according to claim 6 it is characterised in that
Described first determining unit, specifically for returning OEGPR rule using default Online integration Gaussian process, determines described
The PMV of target local first is worth.
9. controller according to claim 6 is it is characterised in that also include：
Reporting unit, determine PMV first value of described target local for described first determining unit after, by described target office
PMV first value in portion reports overall thermal comfort controller.
10. a kind of control system is it is characterised in that include：
Local thermal comfort controller as described in any one of claim 6 to 9, the corresponding sensor of each local thermal comfort controller
And overall situation thermal comfort controller；
Described local thermal comfort controller connects this corresponding sensor of local thermal comfort controller and described Overall Thermal respectively
Comfortable controller.
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