CN105573266A - Method and system for controlling energy-consuming equipment based on seat environment requirement of user - Google Patents

Abstract

The invention discloses a method and system for controlling energy-consuming equipment based on a seat environment requirement of a user. The method comprises: (a), according to seat position preferences of all users, current seat distribution is optimized; (b), an expectation value of each user for a seat environment parameter is obtained; (c), a current seat environment parameter of a seat distributed to each user is obtained; and (d), according to the expectation value of each user for the seat environment parameter as well as the current seat environment parameter, an optimal value of a respective adjustable working parameter of corresponding energy-consuming equipment is determined, thereby controlling all corresponding energy-consuming equipment to work according to the optimal values. With the method, while the position preferences of the users are taken into consideration, the energy-consuming equipment also can be controlled intelligently, thereby meeting individual requirements on environmental parameters like illumination and temperatures by all users. Meanwhile, the total energy consumption of all energy-consuming equipment can be reduced.

Description

The method and system controlling energy consumption equipment is required according to the seating environment of user

Technical field

The disclosure relates in general to Based Intelligent Control, is specifically related to the technology carrying out the multiple energy consumption equipment of centralized control according to the individual demand of multiple user seating environment separately.

Background technology

In recent decades, ever-increasing energy resource consumption brings serious economic crisis, greenhouse effect and climate change to the whole world.Building energy consumption is one of main energy resource consumption field, and it can be further subdivided into the energy consumption of illumination, air-conditioning and various plug-in electrical equipment.Investigation display, illumination and air conditioning energy consumption account for more than 50% of building total energy consumption at present.Therefore, how more effectively controlling light fixture and air-conditioning reduces its power consumption, is the important research topic of society.

On the other hand, the major function of building is to provide suitable people to live to live and the microenvironment of work.And different people has different demands usually to the environment in the buildings such as such as room lighting, temperature, humidity, wind speed.If some environmental parameter current can not meet the demand of people, then may cause the work of people's poor efficiency, bad mood even disease.Therefore, the intelligent building in the present age all wishes to regulate intelligently the various environmental parameters in building the individual requirement of environment according to people.

Disclose in Japanese patent application US2013/0166074A1 and a kind ofly adjust the ratio of the zone of action to adjust the direction of air-conditioner air outlet and the method for wind speed according to perform region duty in office, the method can save the air conditioning electricity of non-active area.But, the method does not consider that different people may have different thermal comfort demands, and do not utilize the feedback information of sensor and people to control, only carry out opened loop control according to the occupation rate of perform region, therefore cannot ensure to meet the different thermal comfort demand of people.

Disclose a kind of by carrying out the intelligent control method that centralized control meets the illumination preference of each user to multiple light fixture in paper that comrade society university of Japan delivers for 2010 " OptimizationofWorkers ' SeatLayoutandtheHeightofHeight-AdjustableLuminaireforInt elligentLightingSystem ".In the method, by adjusting the seat of each user, namely adjusting the distance of user and light fixture, making it possible to the illumination preference meeting each user preferably.But the method does not consider the physical location of user to seat, the preference of neighbouring relations completely when adjusting user seat, thus the seat that user may be made to be assigned with it does not like very much, the mood causing user bad thus, the work of poor efficiency.

Summary of the invention

The disclosure is proposed in view of above problem.The individual requirement that object of the present disclosure is to provide a kind of seating environment according to user controls the method and system of energy consumption equipment, it is while the position preference considering user, power consumption is set and carries out Based Intelligent Control, to meet the individual requirement of each user to environmental parameters such as such as illumination, temperature, the total energy consumption of each energy consumption equipment can be reduced simultaneously.

According to an aspect of the present disclosure, the individual requirement providing a kind of seating environment according to user controls the method for energy consumption equipment, comprises step: (a), according to the position preference of each user to seat, is optimized current seating allocation; B () obtains the expectation value of each user for seating environment parameter; C () obtains the current seating environment parameter value in seat place that each user distributes; (d) according to each user for the expectation value of seating environment parameter and described current seating environment parameter value, determine the optimum value of corresponding energy consumption equipment adjustable operating parameters separately, carry out work to control each corresponding energy consumption equipment according to described optimum value.

Optionally, step can also be comprised according to the method for the individual requirement control energy consumption equipment of the seating environment according to user of the above-mentioned aspect of the disclosure: (e) determines the total satisfaction of all users to the seating environment of the seating allocation after optimization; (f) in response to described total satisfaction lower than predetermined threshold, repeat step (a), (b), (c), (d) and (e), until described total satisfaction is not less than predetermined threshold or iterations reaches pre-determined number.

According to another aspect of the present disclosure, the individual requirement providing a kind of seating environment according to user controls the system of energy consumption equipment, comprise: seating allocation parts, be configured to, according to the position preference of each user to seat, be optimized current seating allocation; Expectation value obtaining widget, is configured to obtain the expectation value of each user for seating environment parameter; Currency obtaining widget, is configured to obtain the seating environment parameter value that seat place that each user distributes is current; Control assembly, be configured to the current seating environment parameter value of expectation value and the currency obtaining widget acquisition obtained according to expectation value obtaining widget, determine the optimum value of corresponding energy consumption equipment adjustable operating parameters separately, carry out work to control each corresponding energy consumption equipment according to described optimum value.

Accompanying drawing explanation

Below in conjunction with accompanying drawing in the detailed description of disclosure embodiment, these and/or other side of the present disclosure and advantage will become clearly and be easier to understand, wherein:

Fig. 1 shows the overview flow chart controlling the method for energy consumption equipment according to the individual requirement of the seating environment according to user of disclosure embodiment.

Fig. 2 (a) shows the example in the illumination data storehouse according to disclosure embodiment.

Fig. 2 (b) schematically shows the relation of same light fixture between the brightness degree and brightness value at the different seat place of field of illumination.

Fig. 2 (c) schematically shows to adopt slope to the form of the illumination representing each brightness degree of same light fixture and produce in field of illumination contribution (brightness value).

Fig. 2 (d) is the chart of the relation schematically shown between brightness degree and brightness value.

Fig. 3 is exemplified with the process flow diagram of the current optimal direction of temperature value determination air-conditioning equipment air outlet in the seat place be assigned with for expectation value and the user of the temperature at seat place according to user and the process of wind speed.

Fig. 4 shows the schematic diagram that the different wind directions of each air-conditioning equipment are regarded as different air-conditioning equipment by hypothesis.

Fig. 5 (a) shows the form of the preliminary optimal wind speed of each wind direction.

Fig. 5 (b) show from the form of Fig. 5 (a), get each air-conditioning equipment the wind direction with maximum preliminary optimal wind speed as the influence coefficient form more simplified obtained after optimum wind direction.

Fig. 5 (c) shows the form of the final optimal wind speed calculated by the influence coefficient form more simplified of Fig. 5 (b).

Fig. 6 shows the illustrative case of the overlap distribution producing seat.

Fig. 7 shows the process flow diagram user at the seat being assigned with overlapping distribution being redistributed to the exemplary method at seat according to disclosure embodiment.

Fig. 8 shows the block diagram controlling the system of energy consumption equipment according to the individual requirement of the seating environment according to user of disclosure embodiment.

Embodiment

Present general is detailed in specific embodiment of the present disclosure, in the accompanying drawings exemplified with example of the present disclosure.Although will describe the disclosure in conjunction with specific embodiments, will understand, be not want the disclosure to be limited to described embodiment.On the contrary, want to cover be defined by the following claims the change comprised in spirit and scope of the present disclosure, amendment and equivalent.It should be noted that method step described herein can be arranged by any functional block or function realize, and any functional block or function are arranged and can be implemented as physical entity or logic entity or both combinations.

In order to make those skilled in the art understand the disclosure better, below in conjunction with the drawings and specific embodiments, the disclosure is described in further detail.

< first embodiment >

The basic thought of the present embodiment is, the position preference of consideration user is user's seat allocation, and carry out Based Intelligent Control to meet the individual requirement of each user to environmental parameters such as such as illumination, temperature for this seating allocation to consuming energy to set, the total energy consumption of each energy consumption equipment can be reduced simultaneously.

Fig. 1 shows the overview flow chart controlling the method for energy consumption equipment according to the individual requirement of the seating environment according to user of the disclosure first embodiment.

As shown in Figure 1, in step S101, according to the position preference of each user to seat, current seating allocation is optimized.

Initial seating allocation may not consider the position preference of user, therefore in this step, is first optimized current seating allocation the position preference at seat according to user.

The position preference reflection user pair any preference relevant with the position at seat, it can comprise user to the preference of the absolute physical position at seat and user at least one in the preference of the neighbouring relations at seat.The preference of the absolute physical position at seat is such as liked near the window, likes corner, liked centre position etc.; The preference such as user A of the neighbouring relations at seat is liked that therefore user C wishes to be sitting in around C, user A do not like user B therefore not wish to be sitting in around B etc.Position preference can be provided in advance by user and store in a database, like this when performing this step S101, can utilize the identity of each user of identity identification sensor identification, to retrieve the position preference stored from database.Certainly, position preference is non-essential to be stored in advance, also when performing this step S101, can provide its position preference in real time by user.

Various conventional distribution method in this areas such as such as First come first served can be adopted to be optimized current seating allocation according to the position preference of each user, to make the position preference of each user of As soon as possible Promising Policy, to omit detailed description herein.

In step S102, obtain the expectation value of each user for seating environment parameter.

Seating environment parameter for describing the environment around seat, the illumination, temperature, humidity, noise, wind speed etc. at such as seat place.Similar with position preference, the expectation value of seating environment parameter can be provided in advance by user and store in a database, after the identity utilizing each user of identity identification sensor identification, the expectation value of the seating environment parameter stored can be retrieved from database like this.Certainly, the expectation value of seating environment parameter is non-essential to be stored in advance, also can provide this expectation value in real time by user or adopt the expectation value of acquiescence.When user provides this expectation value in real time, both user can have been allowed directly to provide the expectation value of the seating environment parameter to such as illumination and temperature, also user can be allowed to provide the evaluation to current environmental baseline according to its subjective feeling, such as too bright or too dark, Tai Re or too cold, too tide or the evaluation information such as too dry.For the latter, in order to obtain demand more accurately, may need to regulate corresponding energy consumption equipment according to the subjective evaluation result of user, with the demand making environmental baseline meet user gradually, and record environmental baseline is now in this, as the expectation value information of the seating environment parameter of this user.

In step S103, obtain the seating environment parameter value that seat place that each user distributes is current.

In this step, can detect by various corresponding sensor such as such as illuminance transducer, temperature sensor, humidity sensor etc. the seating environment parameter value such as illumination, temperature, humidity that position that each user is current distributed is current.

In step S104, according to each user for the expectation value of seating environment parameter and described current seating environment parameter value, determine the optimum value of corresponding energy consumption equipment adjustable operating parameters separately, carry out work to control each corresponding energy consumption equipment according to described optimum value.

In this step, control corresponding energy consumption equipment respectively according to optimum value work with the seating environment requirement of As soon as possible Promising Policy user according to various types of seating environment parameter, reduce the total energy consumption of each energy consumption equipment simultaneously.As previously mentioned, seating environment parameter is of a great variety, is only hereinafter that the illumination at seat place and temperature are described for seating environment parameter.

When seat environmental parameter is the illumination at seat place, corresponding energy consumption equipment is light fixture, and its adjustable operating parameters is brightness degree; When seat environmental parameter is the temperature at seat place, corresponding energy consumption equipment is air-conditioning equipment, and its adjustable operating parameters is wind direction and wind speed.How according to user for the optimum brightness degree/optimum wind direction of the current illumination/temperature value determination light fixture/air-conditioning equipment of the expectation value of the illumination/temperature at seat place and seat place and wind speed to meet illumination/temperature preference existing a lot of research in the art of user individual, those skilled in the art can utilize any existing appropriate ways to determine described optimum brightness degree/optimum wind direction and wind speed.Herein, complete just to what illustrate, exemplary description is carried out to the determination mode used in the present embodiment.

Below, to according to user, the process example of the optimum brightness degree of the current brightness value determination light fixture of the expectation value of the illumination at seat place and the actual seat place be assigned with of user is described.

First the corresponding relation between the brightness degree of light fixture and the brightness value at seat place is described.

Can understand, each seat place may be subject to the illumination of one or more light fixture, and therefore its brightness value is the brightness value sum of each light fixture at this seat place.Such as, seat that user j is assigned with (j=1,2 ..., N), its brightness value can be expressed as:

$E_j=\underset{i=1}{\overset{m}{\mathrm{\&Sigma;}}}{h}_j^{\left(i\right)}{D}_i+g_0...\left(1\right)$

Wherein, i be light fixture numbering (i=1,2 ..., m), D _ithe brightness degree of i-th light fixture, the function corresponding relation of the brightness value that the brightness degree of expression i-th light fixture and this brightness degree produce at the seat place that user j is assigned with, g ₀the basis illumination constant of light fixture when all closing. can be pre-determined by various mode.Such as, in the seat that can be assigned with at user j, arrange illuminance transducer, collect the brightness value corresponding with each brightness degree of light fixture i, simulate this accordingly subsequently .

By expression formula (1), the brightness value at each seat place can be calculated, and the brightness value that can store each seat place is as required to set up illumination data storehouse.Fig. 2 (a) is exemplified with an example in this illumination data storehouse.As shown in Fig. 2 (a), in this illumination data storehouse, set up a table for each light fixture, wherein associatedly store the brightness degree of this light fixture and the brightness value at each seat place, wherein D _i ^lrepresent i-th light fixture L brightness degree (L=1,2 ..., k).Easy understand, the data in the illustrative illumination data storehouse of Fig. 2 (a) can represent with the form of the chart shown in Fig. 2 (b).Concrete, Fig. 2 (b) is exemplified with same light fixture (light fixture D ₁) relation between the brightness degree and brightness value at the different seat place of field of illumination.As shown in Fig. 2 (b), transverse axis represents brightness degree, and the longitudinal axis represents illumination.As light fixture D ₁when brightness degree with 10%, 50% and 100% is luminous, apart from this D ₁nearest consequent three the corresponding brightness values in seat (such as seat 1) are all maximum, and apart from this D ₁consequent three the corresponding brightness values in seat (such as seat 4) are farthest all minimum.More particularly, illumination that light fixture pair and its distance nearer seat produce is contributed larger, to contributing less with its illumination produced apart from seat far away.

Can understand, function curve in Fig. 2 (b) can be carried out piece-wise linearization, light fixture can represent, see Fig. 2 (d) with the slope of each section of straight line the size of the illumination contribution that Zhong Ge seat, field of illumination produces at each brightness degree place thus.Fig. 2 (c) adopts slope to represent same light fixture (light fixture D for specifically illustrating ₁) each brightness degree produce in field of illumination illumination contribution (brightness value) example form.As shown in Fig. 2 (c), the horizontal gauge outfit of this form lists such as light fixture D ₁each concrete brightness degree, each in form is the slope of some illumination function curve corresponding to each concrete brightness degree.In fact, namely this form defines the adjustable parameter (i.e. brightness degree) of each light fixture to the influence matrix of the illumination at each seat place.

Below the Conceptions in the method for the optimum brightness degree for determining each light fixture according to the present embodiment being introduced, below the defining method concrete to this being described.

Concrete, in the present embodiment, obtained the optimum brightness degree of each light fixture by the functional value minimizing dimming model.Dimming model can be set up according to the real needs of user, can meet user preference preferably to make the brightness degree calculated according to this dimming model.As a nonrestrictive example, difference between actual brightness value after dimming model can be used for characterizing the seat place light modulation that the expectation brightness value of each user and relative users distribute adds up the accumulated value obtained, wherein actual brightness value be the current brightness value in this seat place with by the illumination increment sum of practical adjustments.That is, difference between actual brightness value after the seat place light modulation distributed with expectation brightness value and the relative users of each user accumulated value obtained that adds up is minimum for constraint condition is to set up dimming model, and user comparatively accurately can obtain the illumination desired by it thus.For this constraint condition, various appropriate ways can be adopted in such as this area such as least square method, regression analysis to set up dimming model.Such as, when adopting least square method, the objective function that this dimming model can be expressed as:

$\min \underset{j=1}{\overset{N}{\mathrm{\&Sigma;}}}{[E_j^{\&prime;}-{\stackrel{\&OverBar;}{E}}_j]}^2...\left(2\right)$

Wherein j (j=1,2 ..., N) and be Customs Assigned Number, E _j' the actual brightness value at seat place that is assigned with for user j after light modulation, for the expectation brightness value of user j.

If E _jfor current illumination value, then can obtain according to above-mentioned equation (1):

$\begin{array}{c}{E}_j^{\&prime;}=E_j+\mathrm{\&Delta;}{E}_j\\ =E_j+\mathrm{\&Delta;}(\underset{i=1}{\overset{m}{\mathrm{\&Sigma;}}}{h}_j^{\left(i\right)}{D}_i+g_0)\\ =E_j+\underset{i=1}{\overset{m}{\mathrm{\&Sigma;}}}\mathrm{\&Delta;}{h}_j^{\left(i\right)}{\mathrm{\&delta;}}_{D_i}\\ =E_j+\left[\begin{array}{cccc}\frac{d{E}_j^{\left(1\right)}}{{\mathrm{dD}}_1}& \frac{d{E}_j^{\left(2\right)}}{{\mathrm{dD}}_2}& ...& \frac{{\mathrm{dE}}_j^{\left(m\right)}}{{\mathrm{dD}}_m}\end{array}\right]\left[\begin{array}{c}{\mathrm{\&delta;}}_{D_1}\\ {\mathrm{\&delta;}}_{D_2}\\ .\\ .\\ .\\ {\mathrm{\&delta;}}_{D_m}\end{array}\right]\end{array}...\left(3\right)$

Wherein, $\frac{{\mathrm{dE}}_j^{\left(i\right)}}{{\mathrm{dD}}_i}{|}_{D_i}=\begin{array}{c}\frac{h_j^{\left(i\right)}(D_i^L+{\mathrm{\&delta;}}_{D_i})-h_j^{\left(i\right)}\left(D_i^L\right)}{{\mathrm{\&delta;}}_{D_i}}\\ =\frac{h_j^{\left(i\right)}\left(D_i^{L+1}\right)-h_j^{\left(i\right)}\left(D_i^L\right)}{D_i^{L+1}-D_i^L}\end{array}.$ Can see, in equation (3) namely the item in the illustrative form of Fig. 2 (c), namely $\left[\begin{array}{cccc}\frac{{\mathrm{dE}}_j^{\left(1\right)}}{{\mathrm{dD}}_1}& \frac{{\mathrm{dE}}_j^{\left(2\right)}}{{\mathrm{dD}}_2}& ...& \frac{{\mathrm{dE}}_j^{\left(m\right)}}{{\mathrm{dD}}_m}\end{array}\right]$ For aforesaid influence matrix.

Be brought in objective function (2) by equation (3), then this objective function can be expressed as:

$\min \underset{j=1}{\overset{N}{\mathrm{\&Sigma;}}}{[E_j-{\stackrel{\&OverBar;}{E}}_j+\left[\begin{array}{cccc}\frac{{\mathrm{dE}}_j^{\left(1\right)}}{{\mathrm{dD}}_1}& \frac{{\mathrm{dE}}_j^{\left(2\right)}}{{\mathrm{dD}}_2}& ...& \frac{{\mathrm{dE}}_j^{\left(m\right)}}{{\mathrm{dD}}_m}\end{array}\right]\left[\begin{array}{c}{\mathrm{\&delta;}}_{D_1}\\ {\mathrm{\&delta;}}_{D_2}\\ .\\ .\\ .\\ {\mathrm{\&delta;}}_{D_m}\end{array}\right]]}^2...\left(4\right)$

The various proper technologies as known in the art such as Lagrange multiplier are utilized to solve to calculate to above-mentioned objective function (4) $\left[\begin{array}{c}{\mathrm{\&delta;}}_{D_1}\\ {\mathrm{\&delta;}}_{D_2}\\ .\\ .\\ .\\ {\mathrm{\&delta;}}_{D_m}\end{array}\right],$ The i.e. regulated quantity of the brightness degree change of each light fixture, and then the optimum brightness degree of a light fixture can be obtained, i.e. the optimum value of the adjustable parameter (brightness degree) of light fixture.

As mentioned above, dimming model is set up according to real needs.In superincumbent description, minimum thus make user accurately can obtain illumination desired by it for constraint condition to establish dimming model with the difference between the actual brightness value after object illumination value and light modulation.This is only an example, and is not restrictive.When demand is different, correspondingly dimming model can be adjusted.

Such as, when user not only wishes accurately to obtain the illumination desired by it, when also wishing to reduce the total energy consumption of each light fixture, the objective function that dimming model can be expressed as:

$\min \underset{j=1}{\overset{N}{\mathrm{\&Sigma;}}}{[E_j-{\stackrel{\&OverBar;}{E}}_j+\left[\begin{array}{cccc}\frac{{\mathrm{dE}}_j^{\left(1\right)}}{{\mathrm{dD}}_1}& \frac{{\mathrm{dE}}_j^{\left(2\right)}}{{\mathrm{dD}}_2}& ...& \frac{{\mathrm{dE}}_j^{\left(m\right)}}{{\mathrm{dD}}_m}\end{array}\right]\left[\begin{array}{c}{\mathrm{\&delta;}}_{D_1}\\ {\mathrm{\&delta;}}_{D_2}\\ .\\ .\\ .\\ {\mathrm{\&delta;}}_{D_m}\end{array}\right]]}^2+\mathrm{\&mu;}{\left|\right|\left[\begin{array}{c}{D}_1+{\mathrm{\&delta;}}_{D_1}\\ {\mathrm{\&delta;}}_{D_2}\\ .\\ .\\ .\\ D_n+{\mathrm{\&delta;}}_{D_m}\end{array}\right]\left|\right|}^2$

And meet, $0\&le;D_i+{\mathrm{\&delta;}}_{D_i}\&le;1...\left(5\right)$

Wherein, D _ithe current brightness degree of i-th light fixture, be the regulated quantity of the brightness degree change of i-th light fixture, μ represents energy consumption and expects the relative weighting of the difference between brightness value and actual brightness value, and more pay close attention to energy consumption, then μ is larger, otherwise μ is less.In addition, because light fixture only may carry out light modulation between minimum brightness grade 0% (namely cutting out) and high-high brightness grade 100%, therefore $0\&le;D_i+{\mathrm{\&delta;}}_{D_i}\&le;1.$

For another example, user, except the total energy consumption paying close attention to illumination and the light modulation back lighting equipment accurately obtained desired by it, may also wish to avoid occurring stroboscopic when illumination change.Now, the dimming model objective function that can be expressed as:

$\min \underset{j=1}{\overset{N}{\mathrm{\&Sigma;}}}{[E_j-{\stackrel{\&OverBar;}{E}}_j+\left[\begin{array}{cccc}\frac{{\mathrm{dE}}_j^{\left(1\right)}}{{\mathrm{dD}}_1}& \frac{{\mathrm{dE}}_j^{\left(2\right)}}{{\mathrm{dD}}_2}& ...& \frac{{\mathrm{dE}}_j^{\left(m\right)}}{{\mathrm{dD}}_m}\end{array}\right]\left[\begin{array}{c}{\mathrm{\&delta;}}_{D_1}\\ {\mathrm{\&delta;}}_{D_2}\\ .\\ .\\ .\\ {\mathrm{\&delta;}}_{D_m}\end{array}\right]]}^2+\mathrm{\&mu;}{\left|\right|\left[\begin{array}{c}{D}_1+{\mathrm{\&delta;}}_{D_1}\\ D_2+{\mathrm{\&delta;}}_{D_2}\\ .\\ .\\ .\\ D_n+{\mathrm{\&delta;}}_{D_m}\end{array}\right]\left|\right|}^2+\mathrm{\&beta;}{\left|\right|\left[\begin{array}{c}{\mathrm{\&delta;}}_{D_1}\\ {\mathrm{\&delta;}}_{D_2}\\ .\\ .\\ .\\ {\mathrm{\&delta;}}_{D_m}\end{array}\right]\left|\right|}^2$

And meet, $0\&le;D_i+{\mathrm{\&delta;}}_{D_i}\&le;1...\left(6\right)$

Wherein, as previously mentioned, $\left[\begin{array}{c}{\mathrm{\&delta;}}_{D_1}\\ {\mathrm{\&delta;}}_{D_2}\\ .\\ .\\ .\\ {\mathrm{\&delta;}}_{D_m}\end{array}\right]$ Be the regulated quantity (adjustment step-length) of the brightness degree change of each light fixture, β represents regulated quantity and expects the relative weighting of the difference between brightness value and actual brightness value, and more pay close attention to and avoid occurring stroboscopic, then β is larger, otherwise β is less.

On the other hand, certain user is to the accuracy requirement of illumination possibly higher than other users, and this by setting different weights to realize for each user, can be set larger weight with the user making accuracy requirement higher.In this case, such as objective function (4) above can be optimized further and is expressed as:

$\min \underset{j=1}{\overset{N}{\mathrm{\&Sigma;}}}{[w_j(E_j-{\stackrel{\&OverBar;}{E}}_j+\left[\begin{array}{cccc}\frac{{\mathrm{dE}}_j^{\left(1\right)}}{{\mathrm{dD}}_1}& \frac{{\mathrm{dE}}_j^{\left(2\right)}}{{\mathrm{dD}}_2}& ...& \frac{{\mathrm{dE}}_j^{\left(m\right)}}{{\mathrm{dD}}_m}\end{array}\right]\left[\begin{array}{c}{\mathrm{\&delta;}}_{D_1}\\ {\mathrm{\&delta;}}_{D_2}\\ .\\ .\\ .\\ {\mathrm{\&delta;}}_{D_m}\end{array}\right])]}^2...\left(7\right)$

Wherein, w _jit is the weight of user j.

Next, by according to user, the current optimal direction of temperature value determination air-conditioning equipment air outlet of the expectation value of the temperature at seat place and the actual seat place be assigned with of user and the process example of wind speed are described.

First the corresponding relation between the direction (wind direction) of air-conditioning equipment air outlet and the temperature at wind speed and seat place is described.

According to the Missenard effective temperature model (Krawczyk, 1975) be shown below, there is between temperature with wind speed corresponding relation:

$\mathrm{TEE}=37-\frac{37-t}{0.68-0.0014h+\frac{1}{1.76+1.4v^{0.75}}}-0.29t\&times;(1-\frac{h}{100})...\left(8\right)$

Wherein TEE represents effective temperature, and t, h, v represent air themperature (DEG C), relative air humidity (%), wind speed (m/s) respectively.If obtain the effective temperature value TEE that user expects, and obtain air themperature t near distributed seat and relative humidity h, then expected wind speed v that can be corresponding by the effective temperature value TEE that above-mentioned formulae discovery obtains with user expects by sensor measurement.Thus, the corresponding relation between the direction of air-conditioning equipment air outlet and the temperature at wind speed and seat place is converted into the corresponding relation between the direction of air-conditioning equipment air outlet and the wind speed at wind speed and seat place.

For simplicity, can think that the wind speed at the wind speed of air-conditioner air outlet and user seat place is linear, and when multiple air-conditioning is opened simultaneously, the wind speed at user seat place is the wind speed sum of each air-conditioning when opening.Based on this hypothesis, the air speed value at each user seat place can be expressed as with such as Linear Model with Side:

$y=\underset{i=1}{\overset{m}{\mathrm{\&Sigma;}}}{a}_i^{\left(t\right)}{x}_i+b...\left(9\right)$

Wherein, i be air-conditioning equipment numbering (i=1,2 ..., m), x _irepresent the wind speed of the air outlet of i-th air-conditioning equipment, influence coefficient to user seat place when be the direction of the air outlet of i-th air-conditioning equipment being t, b affects bias term by the wind speed at the wind-induced user seat of other environment, and it is the constant that the wind speed measuring user seat place by not opening air-conditioning equipment obtains. can be pre-determined by various mode.Such as, the seat place that can be assigned with user arranges air velocity transducer, then by open an air-conditioning equipment at every turn and each regulate a wind speed of air-conditioning equipment and wind direction collect this position be in each wind direction of each air-conditioning equipment under corresponding air speed value, air outlet wind speed when being t according to wind direction subsequently, calculates this such as, assuming that ought only open air-conditioning equipment i and the air outlet direction of this air-conditioning equipment i is t wind speed is x _itime, the wind speed recorded at the seat place that user j is assigned with is then can obtain the adjustable parameter (i.e. wind speed and direction) of air-conditioning equipment i to the influence coefficient of the wind speed at this seat place ${\mathrm{\&alpha;}}_{\mathrm{ji}}^{\left(t\right)}={\mathrm{\&alpha;}}_j^{\left(t\right)}/x_i.$

Below to introducing for the Conceptions in the method for the optimum wind direction and wind speed of determining each air-conditioning equipment according to the present embodiment, below with reference to Fig. 3, this defining method is described.

As shown in Figure 3, in step S301, for the seat that each user distributes, the temperature value current according to preferred temperature value and this seat place of user and humidity value, determine the expected wind speed corresponding with this preferred temperature value.

Expression formula above (8) can be utilized in this step to determine the expected wind speed corresponding with preferred temperature value.

In step S302, minimize the functional value of Wind speed model, to determine the optimum wind direction of each air-conditioning equipment, described Wind speed model at least characterize seat place that the expected wind speed of each user and relative users distribute regulate after actual wind speed between the accumulated value of difference.

Known, for any air-conditioning equipment, the direction of its air outlet must be unique sometime, can not there is the situation of multiple directions air-out simultaneously.But, in order to calculate optimum air outlet direction, first the present embodiment supposes can to dry in all air outlet directions simultaneously, then be optimized according to the air speed value of expected wind speed value to each direction of user, the relatively large direction of air speed value is expected the most effective to meeting user, therefore selects this direction as optimal direction.Concrete methods of realizing is as follows:

Suppose that indoor actual installation has k platform air-conditioning equipment, every platform air-conditioning has l air outlet direction adjustable, therefore always has the air-conditioning equipment (as shown in Figure 4) of m=kl platform " virtual ".Hypothesis has n user in addition, then can calculate the actual wind speed of the position at this n user place as follows according to expression formula (9) above:

For the sake of simplicity, explanations are omitted here bias term b, namely the external world disturbs without environment is air-dry.

Expression formula (10) can be reduced to following matrix form further:

y＝Ax...(11)

Wherein, in fact, which form the adjustable parameter (i.e. wind speed and direction) of each air-conditioning equipment to the influence matrix of the wind speed at each seat place.

Similar with the control of light fixture, the optimal direction of each air-conditioning equipment air outlet can be obtained by the functional value minimizing Wind speed model.Wind speed model can be set up according to the real needs of user.As a nonrestrictive example, Wind speed model can be used for characterizing seat place that the expected wind speed of each user and relative users distribute regulate after actual wind speed between the accumulated value of difference.Various appropriate ways can be adopted in such as this area such as least square method, regression analysis to set up this Wind speed model.Such as, when adopting least square method, for expression formula (11), the objective function that this Wind speed model can be expressed as:

$\underset{x}{\min }{(y-\mathrm{Ax})}^{T}W(y-\mathrm{Ax})...\left(12\right)$

Wherein, y is the wind velocity vector expected, y=[y ₁, y ₂..., y _n] ¹, x is the air outlet wind speed of " virtual " air-conditioning equipment, and W is pair of horns matrix, and the element on its diagonal line is the weight of the user on seat.Here suppose that the energy consumption of each air-conditioning only depends on the power of wind speed, namely higher the consumed energy of wind speed is larger.

Certainly, the Wind speed model shown in expression formula (12) is only an example, when the real needs of user are different, can correspondingly adjust this Wind speed model.Such as, when user not only wishes the temperature (wind speed) that can accurately obtain desired by it, when also wishing to reduce the total energy consumption of each air-conditioning equipment, above-mentioned Wind speed model can be expressed as:

$\underset{x}{\min }{(y-\mathrm{Ax})}^{T}W(y-\mathrm{Ax})+\mathrm{\&alpha;}\&CenterDot;x^{T}x...\left(13\right)$

Wherein, α is the weight of energy consumption, and user more pays close attention to total energy consumption, then α value is larger, otherwise then α value is less.

According to least square method, the optimum solution of the objective function as shown in expression formula (13) is

$\hat{x}={(A^T\mathrm{WA}+\mathrm{\&alpha;}\&CenterDot;I)}^{-1}{A}^T\mathrm{Wy}...\left(14\right)$

Above-mentioned optimal wind speed value be m=kl dimension (as Suo Shi Fig. 5 (a)), it is divided into k group in order, often organize corresponding l the adjustable direction of air outlet of l optimal wind speed value.To each group optimal wind speed value, the air outlet direction that air speed value can be selected maximum is optimal direction.Such as, as shown in Fig. 5 (a), select the optimum wind direction of the wind direction 4 with maximum wind velocity 1.2 as air-conditioning equipment A of air-conditioning equipment A; And select air-conditioning equipment B the optimum wind direction of the wind direction 2 with maximum wind velocity 0.9 as air-conditioning equipment B, etc.

Get back to Fig. 3, in step S303, utilize the optimum wind direction of each air-conditioning equipment to simplify described Wind speed model, and minimize the functional value of the Wind speed model after this simplification, to calculate the optimal wind speed of each air-conditioning equipment at optimum wind direction.

After obtaining optimum air outlet direction (wind direction 4 of such as Fig. 5 (a) as the optimum wind direction of air-conditioning equipment A, wind direction 2 as the optimum wind direction etc. of air-conditioning equipment B), optimize further by the wind speed of following method to this direction.When optimum air outlet direction only opened by each air-conditioning, the actual wind speed at user seat place can be simplified to following form, and (Fig. 5 (b) shows the influence coefficient after simplification ):

Similarly, expression formula (15) can be reduced to following matrix form further:

$y=\hat{A}x...\left(16\right)$

Similar, for expression formula (16), least square method can be adopted to pass through to solve the following Wind speed model simplified and to obtain optimum air speed value (as Suo Shi Fig. 5 (c)):

$\underset{x}{\min }{(y-\hat{A}x)}^{T}W(y-\hat{A}x)+\mathrm{\&alpha;}\&CenterDot;x^{T}x...\left(17\right)$

Equally, y is the wind velocity vector expected, y=[y ₁, y ₂..., y _n] ^t, x is the air outlet wind speed of air-conditioning equipment, and W is pair of horns matrix, and the element on its diagonal line is the weight of the user on seat.α is the weight of energy consumption, and user more pays close attention to total energy consumption, then α value is larger, otherwise then α value is less.Here suppose that the energy consumption of each air-conditioning only depends on the power of wind speed, namely higher the consumed energy of wind speed is larger.

According to least square method, the optimum solution of the objective function as shown in expression formula (17) is

$\hat{x}={({\hat{A}}^{T}W\hat{A}+\mathrm{\&alpha;}\&CenterDot;I)}^{-1}{\hat{A}}^T\mathrm{Wy}...\left(18\right)$

The optimal wind speed value now obtained be the wind speed supposing each air-conditioning equipment be continuously adjustable, if the wind speed of air-conditioning equipment is discrete gear, then can by optimal wind speed value be mapped to immediate actual-gear, quantize.

So far, optimum wind direction and the optimal wind speed of each air-conditioning equipment is obtained.

Be illumination and the temperature at seat place above for seating environment parameter, describe the possible process in step S104.Should be appreciated that this is only exemplary explanation, and be not to restriction of the present disclosure.When seating environment parameter is other environmental parameters such as such as humidity, noise etc., corresponding energy consumption equipment is controlled similarly according to respective optimum value work with the individual requirement of the seating environment of As soon as possible Promising Policy user in step S104, this control procedure in corresponding field more research, and be not key point of the present disclosure, therefore repeat no more.

The foregoing describe the method controlling energy consumption equipment according to the individual requirement of the seating environment according to user of the disclosure first embodiment, it is while the position preference considering user, power consumption is set and carries out Based Intelligent Control, to meet the individual requirement of each user to environmental parameter, the total energy consumption of each energy consumption equipment can be reduced simultaneously.

< second embodiment >

The method controlling energy consumption equipment according to the individual requirement of the seating environment according to user of the disclosure first embodiment in some cases may poor effect, such as, when the position preference of user and seating environment require inconsistent even contradiction.Concrete, such as user preference is for leaning on corner, and desired temperature is lower, but near corners does not have air-conditioner air outlet, if be distributed in corner according to the preference of user under these circumstances, be then difficult to meet it and could meet its requirement to temperature to the requirement of temperature or the very high energy consumption of needs.For this situation, the present embodiment proposes a kind of method controlling energy consumption equipment according to the seating environment individual requirement of user of improvement.

In the present embodiment, not control energy consumption equipment for this seating allocation according to the seating environment individual requirement of user subsequently for user's seat allocation once, but continue to optimize distributed seat and the control to energy consumption equipment, until obtain optimum scheme.Concrete, according to the present embodiment to control the method for energy consumption equipment according to the seating environment individual requirement of user substantially identical with the method in the first embodiment, its difference is in the present embodiment, after the step S104 described in execution first embodiment, also comprise: step S105, determine the total satisfaction of all users to the seating environment after the seating allocation optimized; And step S106, in response to described total satisfaction lower than predetermined threshold, repeat the process in step S101-S105, until described total satisfaction is not less than predetermined threshold or iterations reaches pre-determined number.To be described in detail this below.

In step S105, the various factors of evaluation can paid close attention to by user determine the total satisfaction of user to seating environment.

Such as, user can show as the summation of each user to the position satisfaction at current seat to the total satisfaction of seating environment.Position satisfaction can be divided into the satisfaction to the satisfaction of the absolute physical position at seat and the neighbouring relations to seat.

Can directly utilize questionnaire to collect the satisfaction of user to the absolute physical position at seat.Also any method of successively decreasing can be adopted to calculate satisfaction.Such as, if user preference window seat, the seat so distributing to user far from window more away from, then its satisfaction should be lower.

Can be measured by distance the satisfaction of the neighbouring relations at seat.Such as, as an example, a certain user can be measured by following expression formula to the satisfaction of the neighbouring relations at seat:

$S^{\left(R\right)}\left(x_j\right)=\frac{\stackrel{N_1}{\mathrm{\&Sigma;}}{T}_s+\mathrm{\&rho;}\stackrel{N_2}{\mathrm{\&Sigma;}}{T}_s}{N_1+N_2}...\left(19\right)$

Wherein, N ₁be with user j be the center of circle, radius is for r ₁circle in, this user j number of other users of liking/not liking, N ₂be with user j be the center of circle, radius is for r ₁circle and radius be r ₂(r ₁<r ₂) circle between region in, this user j number of other users of liking/not liking, wherein r ₁and r ₂it is the value suitable arbitrarily preset.T _sequal " 1 " or "-1 ", represent that user j likes or do not like the user that index subscript s is corresponding respectively.ρ is distance relation satisfaction weight, and each in concrete example can be different with the weight of index following table s identifying user.

For another example, user can show as the summation of the difference of the expectation value of the current seating environment parameter value in each seat place and seating environment parameter to the total satisfaction of seating environment.Optionally, residual error rate can be utilized as shown in expression formula below to assess the summation of the difference of the expectation value of the current seating environment parameter value in each seat place and seating environment parameter:

$\mathrm{RER}=\frac{1}{N}\underset{j=1}{\overset{N}{\mathrm{\&Sigma;}}}\left|\frac{E_j^T-E_j^t}{E_j^T}\right|...\left(20\right)$

Wherein, j is Customs Assigned Number, and N is the number of user. the expectation value of seating environment parameter, being the current environmental parameter value in seat place, such as, is the illumination at seat for seating environment parameter, the illumination expected, the current illumination in the seat place that arrived by sensor measurement; For the temperature that seating environment parameter is seat, the temperature expected, it is the current temperature in the seat place that arrived by sensor measurement.If there is the seating environment parameter of multiple concern simultaneously, then can calculate the residual error rate for this seating environment parameter for each seating environment parameter as Suo Shi expression formula (20), and using the mean value of multiple residual error rate as the total satisfaction of user for seating environment parameter.

For another example, family can show as the total energy consumption of each energy consumption equipment to the total satisfaction of seating environment.Optionally, the total energy consumption (total power consumption) of each energy consumption equipment can be evaluated as shown in expression formula below:

$\mathrm{PCR}=\frac{\underset{i=1}{\overset{M}{\mathrm{\&Sigma;}}}{P}_i(D_i+{\mathrm{\&delta;}}_{D_i})}{\underset{i=1}{\overset{M}{\mathrm{\&Sigma;}}}{P}_i}...\left(21\right)$

Wherein, P _iit is the nominal power of energy consumption equipment i.D _ithe current power consumption grade of i-th energy consumption equipment, representing the regulated quantity of the power consumption change of rank of i-th energy consumption equipment, such as, is light fixture for energy consumption equipment, D _ithe current brightness degree of i-th light fixture, it is the regulated quantity of the brightness degree change of i-th light fixture; Air-conditioning equipment for energy consumption equipment, D _ithe current wind speed scale of i-th air-conditioning equipment, it is the regulated quantity of the wind speed scale change of i-th air-conditioning equipment.If there is the energy consumption equipment of multiple concern simultaneously, then can calculate total energy consumption as Suo Shi expression formula (21) for often kind of energy consumption equipment, and using the mean value of multiple total energy consumption as the total satisfaction of user for seating environment parameter.

Certainly, described above is only some exemplary factors of evaluation, and the restriction not to the present embodiment.User can also be determined by other various suitable factors of evaluation the total satisfaction of seating environment.

In addition, user also can be determined by the combination of multiple factor of evaluation the total satisfaction of seating environment.Such as, for factor of evaluation be above each user illustrative to the summation of difference, the total energy consumption of each energy consumption equipment of the expectation value of the current seating environment parameter value in the summation of the position satisfaction at current seat, each seat place and seating environment parameter, can be shown below, determine the total satisfaction of all users to the seating environment of the seating allocation after optimization based on the combination (namely based at least one item in these factors of evaluation) in these factors of evaluation:

$\max U=\frac{1}{N}\underset{j=1}{\overset{N}{\mathrm{\&Sigma;}}}[{\mathrm{\&alpha;}}_j^1{S}^{\left(p\right)}\left(x_j\right)+{\mathrm{\&alpha;}}_j^2{S}^{\left(R\right)}\left(x_j\right)]-\mathrm{\&beta;RER}-\mathrm{\&eta;PCR}$

${\mathrm{\&alpha;}}_j^1+{\mathrm{\&alpha;}}_j^2=1,j=1,...,N$

Wherein, j is Customs Assigned Number, S ^(P)(x _j) be the satisfaction of user j to the absolute physical position at seat, S ^(R)(x _j) be the satisfaction of user j to the neighbouring relations at seat, the weight of user j to the satisfaction of the absolute physical position at seat, the weight of user j to the satisfaction of the neighbouring relations at seat.β is the weight of the summation of the difference of the expectation value of seating environment parameter value and seating environment parameter, and η is the weight of the total energy consumption of energy consumption equipment.

Determine as mentioned above all users to optimize seating allocation after seating environment total satisfaction after, judge that whether this total satisfaction is lower than predetermined threshold.If total satisfaction is lower than predetermined threshold, then show that this seating allocation and/or the control for the energy consumption equipment at this seat can not make user satisfied.For this situation, in the present embodiment, will the process in above-mentioned steps S101-S105 be repeated, and constantly repeat this process until the number of times that total satisfaction is not less than predetermined threshold or iteration reaches pre-determined number.

On the other hand, optionally, in the method for the control energy consumption equipment according to the present embodiment, when being optimized current seating allocation the position preference at seat according to each user in step S101, the various evolution algorithms such as such as particle cluster algorithm, genetic algorithm, ant search algorithm can be adopted, to continue to optimize seating allocation scheme.It should be noted that, when adopting some evolution algorithm to optimize seating allocation, the overlap that likely can produce seat is distributed.Fig. 6 shows the illustrative case of the overlap distribution producing seat.A left side of Fig. 6 illustrates 4 user A, the seating allocation that B, C and D are current, and the right side illustrates the seating allocation be optimized according to the preference of user.Can find out, the position of user B, C and D all there occurs change, and due to the preference equal reason mutually of such as A with B, causes that seat 1 is superimposed is allocated to A and B.In the event of the seat that this overlap is distributed, then the user to being assigned with this seat is needed to redistribute seat.Fig. 7 show according to the present embodiment, the process flow diagram of the user at the seat being assigned with overlapping distribution being redistributed to the method at seat.Concrete, the targeted customer at seat need be redistributed for each, seat will be redistributed as shown in Figure 7.

As shown in Figure 7, in step S701, determine unappropriated seat and the overlapping seat distributed, as seat to be allocated.Such as, for the such as situation shown in the right figure of Fig. 6, the seat 1 of unappropriated remaining seat 2,3,5,6 and 8 and superimposed distribution will be extracted in this step as seat to be allocated.

In step S702, judge targeted customer to the preference of the absolute physical position at seat whether higher than the preference of the neighbouring relations to seat.In this step, judge that the absolute physical position whether targeted customer pays close attention to seat exceedes the neighbouring relations paying close attention to seat.

If the judged result of step S702 is affirmative, namely higher than, then in step S703, according to the preference of the absolute physical position of this targeted customer, marked in each seat to be allocated, and from each seat to be allocated described, distribute a seat to this targeted customer based on described scoring.Concrete, in this step S703, first according to the preference of the absolute physical position of targeted customer, marked in each seat to be allocated.Such as, hypothetical target user preference by the seat of door, then can be marked according to the distance of each seat to be allocated to door, lower with the scoring at the seat making range gate far away.After to each seat to be allocated scoring, can based on described scoring, adopt various suitable method from each seat to be allocated, to distribute a seat to targeted customer.Such as, can sort to each seat to be allocated according to scoring and adopt wheel disc method therefrom to distribute a seat to targeted customer, or can directly by the highest seating allocation of marking to targeted customer, etc.

If the judged result of step S702 is negative, namely not higher than, then in step S704, according to the preference of this targeted customer to the neighbouring relations at seat, determine to be assigned in the user at seat the friend User that whether there is this targeted customer and wish to be close to it.

If determine there is not described friend User in step S704, then showing that friend User that this targeted customer wishes to be close to it is not all also assigned to seat or this targeted customer may hopeless adjoining friend User at all, now, in step S705, for targeted customer distributes any one seat to be allocated.

If determine that in step S704 there is friend User (is assumed to be user a), then in step S706, by seating allocation to be allocated for any one in the first preset range around this friend User to targeted customer (being assumed to be user b).Described first preset range can be determined as required, such as, be four seats be all around close to friend User a.Or, if this is all assigned with user in four seats all around, then the first preset range can be expanded as and also comprise friend User a upper left, lower-left, upper right and seat, four, bottom right, or is extended to further by the first preset range and friend User a can seat, one, interval, etc.Optionally, suppose that the first preset range is four seats be all around close to friend User a, and these four seats are all assigned with user, now directly do not expand the first preset range, but judge that whether the user at these four seats is the requirement user adjacent with friend User a, if wherein there is certain user (being assumed to be user c) not require adjacent with friend User a, then can give targeted customer b by the seat of user c, and using user c as needing the targeted customer redistributing seat; When only having the user when these four seats to be all the requirement user adjacent with friend User a, just expand the first preset range.This optionally replaces the efficiency that allocation scheme can improve distribution.

The foregoing describe the method controlling energy consumption equipment according to the individual requirement of the seating environment according to user of the disclosure second embodiment.In the present embodiment, the optimum running parameter of energy consumption equipment continued to optimize the seat for user distributes and determine for distributed seat, until user is satisfied.According to this embodiment, can the position preference of user, to multiple demands such as the individual requirement of environmental parameter, the total energy consumptions reducing each energy consumption equipment between balance, to obtain the scheme of user's overall satisfaction.

< controls the system > of energy consumption equipment according to the individual requirement of the seating environment of user

Fig. 8 shows the block diagram of the system 800 controlling energy consumption equipment according to the individual requirement of the seating environment according to user of disclosure embodiment.

As shown in Figure 8, comprise according to the system 800 of the individual requirement control energy consumption equipment of the seating environment of user: seating allocation parts 801, are configured to, according to the position preference of each user to seat, be optimized current seating allocation; Expectation value obtaining widget 802, is configured to obtain the expectation value of each user for seating environment parameter; Currency obtaining widget 803, is configured to obtain the seating environment parameter value that seat place that each user distributes is current; And control assembly 804, be configured to the current seating environment parameter value of expectation value and the currency obtaining widget acquisition obtained according to expectation value obtaining widget, determine the optimum value of corresponding energy consumption equipment adjustable operating parameters separately, carry out work to control each corresponding energy consumption equipment according to described optimum value.

The individual requirement of the above-mentioned seating environment according to user controls the system 800 of energy consumption equipment while the position preference considering user, Based Intelligent Control is carried out to energy consumption equipment, to meet the individual requirement of each user to environmental parameter, the total energy consumption of each energy consumption equipment can be reduced simultaneously.

Optionally, said system 800 also comprises satisfaction evaluation parts 805, is configured to determine the total satisfaction of all users to the seating environment of the seating allocation after optimization.These satisfaction evaluation parts 805 can determine the total satisfaction of all users to the seating environment of the seating allocation after optimizing according to each user at least one item in the total energy consumption of the summation of the difference of the expectation value of the current seating environment parameter value in the summation of the position satisfaction at current seat, each seat place and seating environment parameter, each energy consumption equipment.Described system 806 also comprises driver part 806, be configured in response to total satisfaction lower than predetermined threshold, drive seating allocation parts 801, expectation value obtaining widget 802, currency obtaining widget 803, control assembly 804 and satisfaction evaluation parts 805 constantly repeated work, until total satisfaction is not less than predetermined threshold or each parts repeated work reaches pre-determined number.Thus, this system 800 can take into full account user position preference, to the individual requirement of environmental parameter, the total energy consumption etc. of each energy consumption equipment, and balance, to obtain the scheme of user's overall satisfaction between multiple demand such as the position preference user, the individual requirement to environmental parameter, the total energy consumption reducing each energy consumption equipment.

Concrete function and the operation of above-mentioned seating allocation parts 801, expectation value obtaining widget 802, currency obtaining widget 803, control assembly 804, satisfaction evaluation parts 805, driver part 806 can with reference to the above-mentioned associated description to Fig. 1 to Fig. 7, herein no longer repeated descriptions.

In addition, optionally, described seating allocation parts 801 can comprise: optimization component 8011, are configured to utilize evolution algorithm, are optimized current seating allocation; Decision means 8012, is configured to whether there is the overlapping seat distributed in the seat judging to distribute; And code reassignment parts 8013, be configured to, in response to there is the overlapping seat distributed, redistribute seat to the user being assigned with this seat.In one embodiment, described code reassignment parts 8013 can be configured to the targeted customer that need redistribute seat for each, following seat allocation: (i) determines unappropriated seat and the overlapping seat distributed, as seat to be allocated; (ii) this targeted customer is judged to the preference of the absolute physical position at seat whether higher than the preference of the neighbouring relations to seat; (iii) if higher than, then according to the preference of the absolute physical position of this targeted customer, marked in each seat to be allocated, and based on described scoring distribute from each seat to be allocated described a seat give this targeted customer; (iv) if not higher than, then according to the preference of this targeted customer to the neighbouring relations at seat, determine to be assigned in the user at seat the friend User that whether there is this targeted customer and wish to be close to it; (v) in response to there is not described friend User, for this targeted customer distributes any one seat to be allocated; (vi) in response to there is described friend User, described targeted customer is given by the seating allocation to be allocated of in the first preset range around this friend User.

Below ultimate principle of the present disclosure is described in conjunction with specific embodiments, but, it is pointed out that the advantage, advantage, effect etc. mentioned in the disclosure is only example and unrestricted, can not think that these advantages, advantage, effect etc. are that each embodiment of the present disclosure is prerequisite.In addition, above-mentioned disclosed detail is only the effect understood in order to the effect and being convenient to of example, and unrestricted, and above-mentioned details does not limit the disclosure for must adopt above-mentioned concrete details to realize.

The block scheme of the device related in the disclosure, device, equipment, system only illustratively the example and being not intended to of property to require or hint must carry out connecting according to the mode shown in block scheme, arranges, configure.As the skilled person will recognize, can connect by any-mode, arrange, configure these devices, device, equipment, system.Such as " comprise ", " comprising ", " having " etc. word be open vocabulary, refer to " including but not limited to ", and can use with its exchange.Here used vocabulary "or" and " with " refer to vocabulary "and/or", and can to use with its exchange, unless it is not like this that context clearly indicates.Here used vocabulary " such as " refer to phrase " such as, but not limited to ", and can to use with its exchange.

The example and being not intended to that flow chart of steps in the disclosure and above method only describe illustratively property requires or hint must carry out the step of each embodiment according to the order provided, and some step can walk abreast, independent of one another or perform according to other suitable orders.In addition, such as the word of " thereafter ", " then ", " next " etc. is not intended to limit the order of step; The description of these words only for guiding reader to read over these methods.

In addition, as used herein, what be separated in the "or" instruction enumerating middle use of the item started with " at least one " enumerating, and enumerating of " A, B or C at least one " means A or B or C so that such as, or AB or AC or BC, or ABC (i.e. A and B and C).In addition, wording " example " does not mean that the example of description is preferred or better than other examples.

Also it is pointed out that in apparatus and method of the present disclosure, each parts or each step can decompose and/or reconfigure.These decompose and/or reconfigure and should be considered as equivalents of the present disclosure.

For those of ordinary skill in the art, the whole of method and apparatus of the present disclosure or any part can be understood, in the network of any calculation element (comprising processor, storage medium etc.) or calculation element, can be realized with hardware, firmware, software or their combination.Described hardware can be utilize to be designed to carry out the general processor of function described herein, digital signal processor (DSP), ASIC, field programmable gate array signal (FPGA) or other programmable logic device (PLD) (PLD), discrete gate or transistor logic, discrete nextport hardware component NextPort or its combination in any.General processor can be microprocessor, but as replacing, this processor can be any commercially available processor, controller, microcontroller or state machine.Processor can also be embodied as the combination of computing equipment, the combination of such as DSP and microprocessor, multi-microprocessor, the one or more microprocessor cooperated with DSP core or any other such configuration.Described software may reside in any type of computer-readable tangible media.By example instead of restriction, so computer-readable tangible media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disc storage, disk storage or other magnetic memory devices or may be used for the expectation carrying or store instruction or data structure form program code and can by any other tangible medium of computer access.As used herein, dish comprises compact disk (CD), laser disk, CD, digital universal disc (DVD), floppy disk and Blu-ray disc.

Intelligent control technology of the present disclosure can also be realized by an operation program or batch processing on any calculation element.Described calculation element can be known fexible unit.Intellectual technology of the present disclosure also can realize only by the program product of providing package containing the program code realizing described method or device, or is realized by any storage medium storing such program product.

The technology of instructing defined by the appended claims can not be departed from and carry out various changes to technology described herein, replacement and change.In addition, the scope of claim of the present disclosure is not limited to the concrete aspect of above-described process, machine, manufacture, the composition of event, means, method and action.The composition of process that is that can utilize the current existence carrying out substantially identical function with corresponding aspect described herein or realize substantially identical result or that will develop after a while, machine, manufacture, event, means, method or action.Thus, claims are included in such process within the scope of it, machine, manufacture, the composition of event, means, method or action.

The above description of disclosed aspect is provided to make to enable any technician of this area or use the disclosure.Be very apparent to those skilled in the art to the various amendments of these aspects, and can be applied in other in General Principle of this definition and do not depart from the scope of the present disclosure.Therefore, the disclosure be not intended to be limited to shown in this in, but according to consistent with principle disclosed herein and novel feature most wide region.Although below discussed multiple exemplary aspect and embodiment, its some modification, amendment, change, interpolation and sub-portfolio are those skilled in the art will recognize that.

Claims (10)

1. control a method for energy consumption equipment according to the individual requirement of the seating environment of user, comprise step:

A (), according to the position preference of each user to seat, is optimized current seating allocation;

B () obtains the expectation value of each user for seating environment parameter;

C () obtains the current seating environment parameter value in seat place that each user distributes; And

(d) according to each user for the expectation value of seating environment parameter and described current seating environment parameter value, determine the optimum value of corresponding energy consumption equipment adjustable operating parameters separately, carry out work to control each corresponding energy consumption equipment according to described optimum value.

2. the method controlling energy consumption equipment as claimed in claim 1, also comprises step:

E () determines the total satisfaction of all users to the seating environment of the seating allocation after optimization;

(f) in response to described total satisfaction lower than predetermined threshold, repeat step (a), (b), (c), (d) and (e), until described total satisfaction is not less than predetermined threshold or iterations reaches pre-determined number.

3. the method controlling energy consumption equipment as claimed in claim 2, wherein in step (e), determine the total satisfaction of all users to the seating environment of the seating allocation after optimizing based at least one item in following: each user is to the summation of difference, the total energy consumption of each energy consumption equipment of the expectation value of the current seating environment parameter value in the summation of the position satisfaction at current seat, each seat place and seating environment parameter.

4. the as claimed in claim 1 method controlling energy consumption equipment, wherein said seating environment parameter comprises at least one in the illumination at seat place and temperature.

5. the method controlling energy consumption equipment as claimed in claim 4, wherein when described seating environment parameter is the illumination at seat place, corresponding energy consumption equipment is light fixture, and its adjustable operating parameters is brightness degree, and described step (d) comprising:

Minimize the functional value of dimming model, to obtain the optimum brightness degree of each light fixture, difference between actual brightness value after described dimming model at least characterizes the seat place light modulation that the expectation brightness value of each user and relative users distribute adds up the accumulated value obtained, wherein actual brightness value be the current brightness value in this seat place with by the illumination increment sum of practical adjustments.

6. the method for the control energy consumption equipment as described in claim 4 or 5, wherein when described seating environment parameter is the temperature at seat place, corresponding energy consumption equipment is air-conditioning equipment, and its adjustable operating parameters is wind direction and wind speed, and described step (d) comprising:

For the seat that each user distributes, the temperature value current according to preferred temperature value and this seat place of user and humidity value, determine the expected wind speed corresponding with this preferred temperature value;

Minimize the functional value of Wind speed model, to determine the optimum wind direction of each air-conditioning equipment, described Wind speed model at least characterize seat place that the expected wind speed of each user and relative users distribute regulate after actual wind speed between the accumulated value of difference;

Utilize the optimum wind direction of each air-conditioning equipment to simplify described Wind speed model, and minimize the functional value of the Wind speed model after this simplification, to calculate the optimal wind speed of each air-conditioning equipment at optimum wind direction.

7. the method controlling energy consumption equipment as claimed in claim 2, wherein said step (a) comprising:

Utilize evolution algorithm, current seating allocation is optimized;

Judge in the seat distributed, whether to there is the overlapping seat distributed; And

In response to there is the overlapping seat distributed, seat is redistributed to the user being assigned with this seat.

8. the as claimed in claim 7 method controlling energy consumption, the position preference of wherein said user to seat comprise following at least one: to the preference of the absolute physical position at seat, the preference to the neighbouring relations at seat.

9. the method controlling energy consumption as claimed in claim 8, the wherein said seat in response to there is overlapping distribution is redistributed seat to the user being assigned with this seat and is comprised further: the targeted customer that need redistribute seat for each, following seat allocation:

I () determines unappropriated seat and the overlapping seat distributed, as seat to be allocated;

(ii) this targeted customer is judged to the preference of the absolute physical position at seat whether higher than the preference of the neighbouring relations to seat;

(iii) if higher than, then according to the preference of the absolute physical position of this targeted customer, marked in each seat to be allocated, and based on described scoring distribute from each seat to be allocated described a seat give this targeted customer;

(iv) if not higher than, then according to the preference of this targeted customer to the neighbouring relations at seat, determine to be assigned in the user at seat the friend User that whether there is this targeted customer and wish to be close to it;

(v) in response to there is not described friend User, for this targeted customer distributes any one seat to be allocated;

(vi) in response to there is described friend User, described targeted customer is given by the seating allocation to be allocated of in the first preset range around this friend User.

10. control a system for energy consumption equipment according to the individual requirement of the seating environment of user, comprising:

Seating allocation parts, are configured to, according to the position preference of each user to seat, be optimized current seating allocation;

Expectation value obtaining widget, is configured to obtain the expectation value of each user for seating environment parameter;

Currency obtaining widget, is configured to obtain the seating environment parameter value that seat place that each user distributes is current; And

Control assembly, be configured to the current seating environment parameter value of expectation value and the currency obtaining widget acquisition obtained according to expectation value obtaining widget, determine the optimum value of corresponding energy consumption equipment adjustable operating parameters separately, carry out work to control each corresponding energy consumption equipment according to described optimum value.