CN110557871B - Office light environment regulation system and regulation method based on natural lighting - Google Patents

Abstract

The invention discloses an office light environment control system and control method based on natural lighting, belonging to the technical field of indoor lighting. The invention includes a main control module, an indoor photosensitive sensor, an outdoor photosensitive sensor, an LED light bar, an LED driving module, a 4G communication module, and an indoor human body induction sensor. Use the main control module to control the indoor and outdoor photosensitive sensors to collect data on the indoor and outdoor illuminance and color temperature of the office, and compare the weather information of the meteorological station. In comparison, the intelligent control of LED light strips based on the collected data realizes real-time control of the light intensity and color temperature in the office, so that office workers have a better visual experience and achieve the comprehensive optimization of comfort and energy saving.

Description

Office light environment regulation system and regulation method based on natural lighting

technical field

The invention relates to the technical field of indoor lighting, in particular to an office light environment regulation system based on natural lighting and a regulation method thereof.

Background technique

With the progress of society and the development of science and technology, intelligent energy-saving products have become more and more a lifestyle advocated by the current society due to their high human-computer interaction experience and energy-saving concepts. Among them, the office lighting system has always been the most important part of the electricity usage.

Office lighting in the traditional sense requires people to actively switch on and off the lighting equipment, wasting manpower and electricity; in addition, the color temperature and light intensity of the outside natural light entering the room will change over time, and office lighting in the traditional sense cannot follow this. Adjusting for changes cannot give people a higher lighting experience; and it has no gain effect on the light environment where the indoor staff is located, and even reduces work efficiency.

SUMMARY OF THE INVENTION

The purpose of the present invention is to provide an office light environment regulation system and regulation method based on natural lighting, which can solve one or more of the above technical problems.

In order to achieve the above object, the technical scheme proposed by the present invention is as follows:

Office light environment regulation system based on natural lighting, including LED light bar, indoor human body sensor; outdoor photosensitive sensor, indoor photosensitive sensor, communication module, main control module, LED driver module.

The indoor human body induction sensor is used for collecting data of people coming and going in the office; and transmitting the data to the main control module; the main control module determines whether the LED light bar is turned on according to the data information of the indoor human body induction sensor.

The outdoor photosensitive sensor is located around the office window; the outdoor photosensitive sensor is used to collect the light intensity and color temperature data of natural light, and transmit the data to the main control module.

The indoor photosensitive sensor is used to collect the light intensity and color temperature data of the indoor workstation, and transmit the data to the main control module.

The communication module is used for collecting the weather data of the networked real-time weather station, and sending the data to the main control module.

The LED driving module is used for dimming control of the LED light bar.

The main control module calculates and analyzes the data collected by the outdoor photosensitive sensor, the indoor photosensitive sensor, and the communication module, and at the same time judges whether the work station needs to be filled with light, and then drives the LED drive module to the LED. The light bar is dimming to make the LED light bar output suitable light intensity and color temperature for the office.

Preferably, the LED light bar is suspended above the work station, and a protective plate is arranged around the LED light bar; the indoor human body induction sensor is parallel to the indoor photosensitive sensor, and is installed perpendicular to the LED light bar protective plate; the indoor photosensitive sensor is located in the LED light. The outer side of the strip protection board is installed perpendicular to the protection board; the communication module is parallel to the indoor human body induction sensor and is installed perpendicular to the LED light strip protection board, and the LED driver module is parallel to the communication module and perpendicular to the LED light strip protection board. Install.

Preferably, the communication module is a 4G communication module. Or a 5G communication module.

A control method comprising an office light environment control system based on natural lighting, comprising the following steps:

S1 uses the indoor human body sensor to collect data to determine whether there are people in the room. If it senses no one, turn off all the light dimming devices; if it senses people, adjust the LED light bar lighting through the main control module;

The adjustment process of S11 LED strip lighting is as follows: first, input the adjustment boundary value of light and color temperature in the main control module; secondly, the main control module obtains the following information: obtain real-time weather data through the weather station information, and obtain the indoor access through the outdoor photosensitive sensor. The color temperature and illuminance value data of natural light; the light intensity and color temperature data of the indoor station are obtained through the indoor photosensitive sensor; the main control module compares the boundary value with the real-time data of each sensor to determine whether supplementary light is needed; when the supplementary light is not needed, the LED is used The drive module is used to dim the LED light bar; when the supplementary light is required, the LED light bar is adjusted by the main control module for supplementary light;

S12 fill light or not condition judgment:

Let (i) the illumination intensity of LED light on the working surface of each station:

(ii) The average illuminance of natural lighting on the working face of each station is Eout=[Eout ₁ , Eout ₂ , ... Eout _n ] ^Τ ;

(iii) The number of workstations in the office is N, and the average illuminance Ean demand value matrix of the working surface of the office workstation is Ean=[Ean ₁ , Ean ₂ ,...Ean _N ] ^Τ ;

The conditions for determining that the work surface needs to be supplemented are as follows:

Then the illuminance Ea=[Ea ₁ , Ea ₂ , ... Ea _n ] of the work surface that needs to be supplemented light;

S13 According to the proportional relationship between the output luminous flux of the lamp and the power consumption of the lamp, an energy-saving model between the illuminance Ea that needs to be supplemented and the output luminous flux ψ of the LED lamp that needs to be adjusted is established by an improved particle algorithm with a cross primer:

(i) Let the number of lamps in the office be M, and each lamp can adjust the luminous flux in the range of [0, ψ _M ]; then the combination of the luminous flux ψ of any lamp can be regarded as an M-dimensional particle, then ψ = [ψ ₁ ,ψ ₂ ,...ψ _M ];

Then Ea=Ga(t)*ψ; where Ga(t) is the fitness function, that is, the optimal particle swarm matrix Ga(t)=[ψ _1t ^(t) ... ψ _Dt ^(t) f _t ^(t) ], and then obtain the optimal energy-saving LED strip position and the LED strip turn-on conditions;

The S14 color temperature adjustment process is as follows:

According to the relationship between illuminance E, brightness N, and color stimulus value B, the relationship between color coordinates and illuminance is obtained, and then the real-time color temperature relationship is obtained according to the relationship between color coordinates and color temperature. The color temperature is compared with the initial color temperature boundary value to realize the adjustment of color temperature. ;

The relationship between the brightness N of the ideal diffuse reflection surface and the illuminance E of the diffuse reflection surface in S141 is as follows:

In addition, the brightness N and the color stimulus value B have the following relationship: B=N;

其中Am，Bm，Cm是混合光对应的三刺激值，Al， Bl，Cl是第l个颜色光对应的三刺激值；对于所有颜色光，其三刺激和色品坐标的对应关系如下：

其中(am，bm)是混合光对应的色坐标，(al，bl)是第l个颜色光色温对应的色坐标；S142 combines Grassmann's color law and CIE1931 chromaticity coordinates to obtain color coordinates and color stimulus values. The relationship is as follows:

Among them, Am, Bm, and Cm are the tristimulus values corresponding to the mixed light, and Al, Bl, and Cl are the tristimulus values corresponding to the lth color light. For all color lights, the corresponding relationship between the tristimulus and the chromaticity coordinates is as follows:

Where (am, bm) is the color coordinate corresponding to the mixed light, (al, bl) is the color coordinate corresponding to the color temperature of the lth color light;

其中E_l是每一个颜色光在被照面上形成的照度；In summary, the relationship between color coordinates and brightness is as follows:

where E _l is the illuminance formed by each color light on the illuminated surface;

S143 When light of different colors is mixed, the color temperature in the mixed light environment is the mixed color temperature. The calculation formula of the average value M-A(Tm) of the mixed color temperature on the working surface is as follows:

其中Tm，j是办公室里第j个(j∈[1,M])工作面上的混合色温，进而可获得混合视色温均匀度V_T的计算公式如下：

其中Min(Tm)为混合视色温的最小值；M-A(Tm)为混合视色温的平均值；

where _Tm , j is the mixed color temperature on the jth (j∈[1,M]) working surface in the office, and the calculation formula of the mixed visual color temperature uniformity VT is as follows:

Among them, Min(Tm) is the minimum value of mixed visual color temperature; MA(Tm) is the average value of mixed visual color temperature;

其中Tm是混合光源的色温，Q是光源的色坐标的系数，K是等温斜率的倒数，(am,bm)是光源的色坐标；At the same time, the calculation formula of the correlated color temperature of mixed white light:

Where Tm is the color temperature of the mixed light source, Q is the coefficient of the color coordinate of the light source, K is the reciprocal of the isothermal slope, and (am, bm) is the color coordinate of the light source;

To sum up, when the color coordinates of m light sources and the illuminance generated on the illuminated surface are known, the correlated color temperature of the mixed white light can be obtained, and then the color temperature can be adjusted.

Preferably: the solution process of the fitness function Ga(t) in the step S13 is as follows:

First of all, according to the basic principle of particle swarm algorithm, take N particles and iterate at most T times. Therefore, in order to meet the average illumination requirements of the working surface, the total power consumption of the lamps is the smallest, and the fitness function is set as:

(当Eraj+Esaj＜Enaj时)；

(when Eraj+Esaj<Enaj);

为灯具调光装置的总功耗值，Eraj是根据当前灯具组合粒子计算出的第j 个工位上得到的补光照度，Esaj是第j个工位上天然采光的照度值，Enaj是第j个工位上需求的最低照度值；where:

is the total power consumption of the lamp dimming device, Eraj is the supplementary illuminance obtained at the jth station calculated from the current lamp combination particles, Esaj is the illuminance value of natural lighting at the jth station, and Enaj is the jth station. The minimum illuminance value required on each workstation;

代表每个工位上总照度与需求照度的误差的平方和，为了与灯具的总功耗达到同一数量级的影响程度，应乘以1000作为适应度函数中的条件之一；When Eraj+Esaj<Enaj,

Represents the sum of squares of the error between the total illuminance and the required illuminance at each station. In order to reach the same order of magnitude as the total power consumption of the lamps, it should be multiplied by 1000 as one of the conditions in the fitness function;

Since the smaller the particle fitness value, the better, it is used as the individual optimal particle and the group optimal particle when determining the individual optimal position of the particle and the optimal group position. For any i-th particle in the t-th iteration , and its fitness fi(t) can be calculated according to the above fitness function;

If the fitness value of the particle is added as the last column of the particle swarm position matrix, that is, the particle swarm fitness and position combination matrix part(t) is:

In this matrix, t represents the matrix when the matrix is the t-th iteration, (i=1,2,...,T);

The individual optimal matrix pbest(t) of the particle swarm is:

The overall optimal matrix Ga(t) of the particle swarm is:

Ga(t)=[ψ _1t ^(t) ... ψ _Dt ^(t) f _t ^(t) ].

The technical effect of the present invention is:

1. In the present invention, color temperature regulation and illumination intensity regulation are combined, and on the basis of natural lighting, the indoor color temperature and illumination intensity are intelligently adjusted, the electric energy consumption of indoor lighting is reduced, and a very comfortable lighting experience is provided.

2. The outdoor photosensitive sensor is used to obtain the real-time weather information of the meteorological station through the communication module based on the analysis of the light intensity and color temperature of the natural light that will enter the office, and the indoor photosensitive sensor is combined with the indoor human body induction sensor. When there is no one in the office, the main control module cuts off the power supply of the LED light bar. Only when there are people in the room, the indoor photosensitive sensor collects the indoor light intensity and color temperature, and then adjusts the LED driver module and adjusts the LED light bar to work to meet the needs of the staff. Adjustable light intensity and color temperature to save power and enhance user experience.

3. The control system is combined with each LED light bar, so that each LED light bar can be freely spliced and combined, and different light intensity can be adjusted according to different occasions, with strong applicability.

Description of drawings

The accompanying drawings forming a part of the present application are used to provide further understanding of the present invention, and the exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention.

In the attached image:

FIG. 1 is a schematic structural diagram of an office light environment regulation system based on natural lighting.

FIG. 2 is a schematic diagram of the installation of each sensor communication module on the LED light bar.

FIG. 3 is a flow chart of a lamp dimming device for adjusting indoor light intensity.

Figure 4 is a flow chart of the improved particle swarm algorithm with cross factor.

Figure 5 is a top view of an LED light bar splicing with the system installed.

The examples in the above figures are as follows: 1. External natural light, 2. Outdoor photosensitive sensor, 3. LED light bar, 4. Indoor photosensitive sensor, 5. Indoor human body induction sensor, 6. Main control module, 7.4G communication module, 8. LED drive module, 9. Work station, 10. Lamp dimming device, 11. Electric wire, 12. Protection plate.

Detailed ways

The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments, wherein the exemplary embodiments and descriptions are only used to explain the present invention, but are not intended to be improperly limited to the present invention.

It should be noted that the embodiments in the present application and the features of the embodiments may be combined with each other in the case of no conflict. The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.

As shown in Figure 1, an office light environment control system based on natural lighting includes LED light strips, indoor human body sensing sensors; outdoor photosensitive sensors, indoor photosensitive sensors, communication modules, main control modules, and LED drive modules.

The LED light bar is suspended above the workstation, and a protective plate is set around the LED light bar. The indoor human body induction sensor is parallel to the indoor photosensitive sensor, and is installed perpendicular to the LED light strip protection board; the indoor human body induction sensor is used to collect the data of people coming and going in the office; and transmit the data to the main control module; the main control The module determines whether the LED light bar is turned on according to the data information of the indoor human body induction sensor.

The outdoor photosensitive sensor is located around the office window; the outdoor photosensitive sensor is used to collect the light intensity and color temperature data of natural light, and transmit the data to the main control module.

The indoor photosensitive sensor is located on the outside of the LED light strip protection plate and is installed perpendicular to the protection plate; the indoor photosensitive sensor is used to collect the light intensity and color temperature data of the indoor workstation, and transmit the data to the main control module.

The 4G communication module is parallel to the indoor human body induction sensor, and is installed perpendicular to the LED light strip protection board. The 4G communication module is used to collect the real-time weather data of the networked weather station and send the data to the main control module.

The LED driver module is installed parallel to the 4G communication module and perpendicular to the LED strip protection board. The LED driving module is used for dimming control of the LED light bar.

The main control module calculates and analyzes the data collected by the outdoor photosensitive sensor, the indoor photosensitive sensor, and the communication module, and at the same time judges whether the work station needs to be filled with light, and then drives the LED drive module to the LED. The light bar is dimming to make the LED light bar output suitable light intensity and color temperature for the office.

A control method comprising an office light environment control system based on natural lighting, comprising the following steps:

S1 uses the indoor human sensor to collect data to determine whether there are people in the room. If it senses no one, it will turn off all the light dimming devices; if it senses someone, it will adjust the LED light bar lighting through the main control module.

The adjustment process of S11 LED strip lighting is as follows: first, input the adjustment boundary value of light and color temperature in the main control module; secondly, the main control module obtains the following information: obtain real-time weather data through the weather station information, and obtain the indoor access through the outdoor photosensitive sensor. The color temperature and illuminance value data of natural light; the light intensity and color temperature data of the indoor station are obtained through the indoor photosensitive sensor; the main control module compares the boundary value with the real-time data of each sensor to determine whether supplementary light is needed; when the supplementary light is not needed, the LED is used The drive module is used to dim the LED light bar; when the supplementary light is required, the LED light bar is adjusted by the main control module for supplementary light;

S12 fill light or not condition judgment:

Let (i) the illumination intensity of LED light on the working surface of each station:

(ii) The average illuminance of natural lighting on the working face of each station is Eout=[Eout ₁ , Eout ₂ , ... Eout _n ] ^Τ ;

(iii) The number of workstations in the office is N, and the average illuminance Ean demand value matrix of the working surface of the office workstation is Ean=[Ean ₁ , Ean ₂ ,...Ean _N ] ^Τ ;

The conditions for determining that the work surface needs to be supplemented are as follows:

Then the illuminance Ea=[Ea ₁ , Ea ₂ , ... Ea _n ] of the work surface that needs to be supplemented light;

S13 In general, the smaller the luminous flux output by the lamp, the smaller the power consumed. In order to achieve maximum energy saving on the basis of ensuring the comfort of the staff, the particle swarm algorithm is generally used to calculate the output luminous flux of the lamps, and the general particle swarm algorithm is prone to problems such as local extremes and premature convergence. On the basis of the interaction and mutual influence, the diversity of particles is improved to facilitate the global search of the algorithm. Therefore, an improved particle algorithm with cross primers is introduced to establish the illuminance Ea that needs to be supplemented for the work surface and the LED lights that need to be adjusted. Energy saving model between output luminous flux ψ:

(i) Let the number of lamps in the office be M, and each lamp can adjust the luminous flux in the range of [0, ψ _M ]; then the combination of the luminous flux ψ of any lamp can be regarded as an M-dimensional particle, then ψ = [ψ ₁ ,ψ ₂ ,...ψ _M ];

Then Ea=Ga(t)*ψ; where Ga(t) is the fitness function, that is, the optimal particle swarm matrix Ga(t)=[ψ _1t ^(t) ... ψ _Dt ^(t) f _t ^(t) ], and then obtain the optimal energy-saving LED strip position and the LED strip turn-on conditions;

The solution process of the fitness function Ga(t) in the step S13 is as follows:

First of all, according to the basic principle of particle swarm algorithm, take the number of particles as N, and iterate at most T times. Therefore, in order to meet the average illuminance requirement of the working surface, the total power consumption of the lamp is the smallest, and the fitness function Ga(t) is set as:

(当Eraj+Esaj＜Enaj时)；

(when Eraj+Esaj<Enaj);

为灯具调光装置的总功耗值，Eraj是根据当前灯具组合粒子计算出的第j 个工位上得到的补光照度，Esaj是第j个工位上天然采光的照度值，Enaj是第j个工位上需求的最低照度值；where:

is the total power consumption of the lamp dimming device, Eraj is the supplementary illuminance obtained at the jth station calculated from the current lamp combination particles, Esaj is the illuminance value of natural lighting at the jth station, and Enaj is the jth station. The minimum illuminance value required on each workstation;

代表每个工位上总照度与需求照度的误差的平方和，为了与灯具的总功耗达到同一数量级的影响程度，应乘以1000作为适应度函数中的条件之一；When Eraj+Esaj<Enaj,

Represents the sum of squares of the error between the total illuminance and the required illuminance at each station. In order to reach the same order of magnitude as the total power consumption of the lamps, it should be multiplied by 1000 as one of the conditions in the fitness function;

Since the smaller the particle fitness value, the better, it is used as the individual optimal particle and the group optimal particle when determining the individual optimal position of the particle and the optimal group position. For any i-th particle in the t-th iteration , and its fitness fi(t) (the fitness obtained after t iterations of the i-th particle) can be calculated according to the above fitness function;

If the fitness value of the particle is added as the last column of the particle swarm position matrix, that is, the particle swarm fitness and position combination matrix part(t) is:

In this matrix, t represents the matrix when the matrix is the t-th iteration, (t=1,2,...,T);

The individual optimal matrix pbest(t) of the particle swarm is:

The overall best matrix gbest(t) of the particle swarm is:

Ga(t)=[ψ _1t ^(t) ... ψ _Dt ^(t) f _t ^(t) ]. (The fitness function composed of luminous flux and fitness; the ultimate goal is to obtain the best output luminous flux of each lamp, the best is adjusted by fitness, so it is a combination of fitness and luminous flux to seek the optimal solution; particle and particle swarms, different particles and particle swarms composed of particles are the best, and the optimization ends.)

The main difference between the improved algorithm with crossover factor and the traditional algorithm is that the particle swarm also needs to perform crossover and mutation operations after updating the speed and position. The advantage is that it can not only learn its own experience and group experience, but also get rid of the possibility of the parent particle falling into the local optimum. The algorithm flow chart is shown in Figure 4.

The S14 color temperature adjustment process is as follows:

According to the relationship between illuminance E, brightness N, and color stimulus value B, the relationship between color coordinates and illuminance is obtained, and then the real-time color temperature relationship is obtained according to the relationship between color coordinates and color temperature. The color temperature is compared with the initial color temperature boundary value to realize the adjustment of color temperature. ;

The relationship between the brightness N of the ideal diffuse reflection surface and the illuminance E of the diffuse reflection surface in S141 is as follows:

In addition, the brightness N and the color stimulus value B have the following relationship: B=N;

其中Am，Bm，Cm是混合光对应的三刺激值，A_l， B_l，C_l是第l个颜色光对应的三刺激值；对于所有颜色光，其三刺激和色品坐标的对应关系如下：

其中(am，bm)是混合光对应的色坐标，(al，bl)是第 l个颜色光色温对应的色坐标；S142 combines Grassmann's color law and CIE1931 chromaticity coordinates to obtain color coordinates and color stimulus values. The relationship is as follows:

Among them, Am, Bm, Cm are the tristimulus values corresponding to the mixed light, A _l , B _l , C _l are the tristimulus values corresponding to the lth color light; for all color lights, the corresponding relationship between the tristimulus and the chromaticity coordinates as follows:

Where (am, bm) is the color coordinate corresponding to the mixed light, (al, bl) is the color coordinate corresponding to the color temperature of the lth color light;

其中E_l是每一个颜色光在被照面上形成的照度；In summary, the relationship between color coordinates and brightness is as follows:

where E _l is the illuminance formed by each color light on the illuminated surface;

S143 When light of different colors is mixed, the color temperature in the mixed light environment is the mixed color temperature. The calculation formula of the average value M-A(Tm) of the mixed color temperature on the working surface is as follows:

其中Tm,j是办公室里第j个(j∈[1,M])工作面上的混合色温，进而可获得混合视色温均匀度V_T的计算公式如下：

其中Min(Tm)为混合视色温的最小值；M-A(Tm)为混合视色温的算术平均值；

where _Tm ,j is the mixed color temperature on the jth (j∈[1,M]) working surface in the office, and the calculation formula of the mixed visual color temperature uniformity VT is as follows:

Wherein Min(Tm) is the minimum value of the mixed color temperature; MA(Tm) is the arithmetic mean of the mixed color temperature;

其中Tm是混合光源的色温，Q是光源的色坐标的系数，K是等温斜率的倒数，(am,bm)是光源的色坐标；At the same time, the calculation formula of the correlated color temperature of mixed white light:

Where Tm is the color temperature of the mixed light source, Q is the coefficient of the color coordinate of the light source, K is the reciprocal of the isothermal slope, and (am, bm) is the color coordinate of the light source;

To sum up, when the color coordinates of m light sources and the illuminance generated on the illuminated surface are known, the correlated color temperature of the mixed white light can be obtained, and then the color temperature can be adjusted.

In addition, in this embodiment, the LED light bar installed with the adjusting system can be changed according to the size of different workstations in different offices, and is generally placed horizontally directly above the workstations to provide lighting for office personnel. If the work station area is large, the lamp dimming device can also be used by splicing. Figure 5 shows the top view after splicing.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims (4)

1. An office light environment control system based on natural lighting is characterized in that: it includes LED light strips, indoor human body induction sensors; outdoor photosensitive sensors, indoor photosensitive sensors, communication modules, main control modules, and LED drive modules, The indoor human body induction sensor is used to collect the data of people coming and going in the office; and transmit the data to the main control module; The main control module determines whether the LED light bar is turned on according to the data information of the indoor human body induction sensor; The outdoor photosensitive sensor is located around the office window; the outdoor photosensitive sensor is used to collect the light intensity and color temperature data of natural light, and transmit the data to the main control module; The indoor photosensitive sensor is used to collect the light intensity and color temperature data of the indoor station, and transmit the data to the main control module; The communication module is used to collect the weather data of the networked real-time meteorological station, and send the data to the main control module; The LED driver module is used for dimming control of the LED light bar; The main control module calculates and analyzes the data collected by the outdoor photosensitive sensor, the indoor photosensitive sensor, and the communication module, and at the same time judges whether the work station needs to be filled with light, and then drives the LED drive module to the LED. The light bar is dimming, so that the LED light bar can output suitable office light intensity and color temperature; The control method is as follows: S1 uses the indoor human body sensor to collect data to determine whether there are people in the room. If it senses no one, turn off all the light dimming devices; if it senses people, adjust the LED light bar lighting through the main control module; The adjustment process of S11 LED strip lighting is as follows: first, input the adjustment boundary value of light and color temperature in the main control module; secondly, the main control module obtains the following information: obtain real-time weather data through weather station information, and obtain indoor access through outdoor photosensitive sensors. The color temperature and illuminance value data of natural light; the light intensity and color temperature data of the indoor station are obtained through the indoor photosensitive sensor; the main control module compares the boundary value with the real-time data of each sensor to determine whether supplementary light is needed; when the supplementary light is not needed, the LED is used The drive module is used to dim the LED light bar; when the supplementary light is required, the LED light bar can be adjusted by the main control module for supplementary light; S12 fill light or not condition judgment: Let (i) the illumination intensity of LED light on the working surface of each station:

(ii) The average illuminance of natural lighting on the working face of each station is Eout=[Eout ₁ , Eout ₂ ,...Eout _n ] ^Τ ; where T represents the transposition of the vector, and n represents: from 1 No. to n lights; (iii) The number of workstations in the office is N, and the average illuminance Ean demand value matrix of the working surface of the office workstation is Ean=[Ean ₁ , Ean ₂ ,...Ean _N ] ^Τ ; The conditions for determining that the work surface needs to be supplemented are as follows:

Then the illuminance Ea=[Ea ₁ , Ea ₂ , ... Ea _n ] of the work surface that needs to be supplemented light; S13 According to the proportional relationship between the output luminous flux of the lamp and the power consumption of the lamp, an energy-saving model between the illuminance Ea that needs to be supplemented and the output luminous flux ψ of the LED lamp to be adjusted is established through the improved particle algorithm with cross primers: (i) Let the number of lamps in the office be M, and each lamp can adjust the luminous flux in the range of [0, ψ _M ]; then the combination of the luminous flux ψ of any lamp can be regarded as an M-dimensional particle, then ψ=[ψ ₁ ,ψ ₂ ,...ψ _M ]; Then Ea=Ga(t)*ψ; where Ga(t) is the fitness function, that is, the optimal particle swarm matrix Ga(t)=[ψ _1t ^(t) ... ψ _Dt ^(t) f _t ^(t) ], and then obtain the optimal energy-saving LED strip position and the LED strip turn-on conditions; where f _i (t) is the fitness; D is the total number of lamps; The S14 color temperature adjustment process is as follows: According to the relationship between illuminance E, brightness N, and color stimulus value B, the relationship between color coordinates and illuminance is obtained, and then the real-time color temperature relationship is obtained according to the relationship between color coordinates and color temperature. The color temperature is compared with the initial color temperature boundary value to realize the adjustment of color temperature. ; The relationship between the brightness N of the ideal diffuse reflection surface and the illuminance E of the diffuse reflection surface in S141 is as follows:

In addition, the brightness N and the color stimulus value B have the following relationship: B=N; S142 combines Grassmann's color law and CIE1931 chromaticity coordinates to obtain color coordinates and color stimulus values. The relationship is as follows:

Where Am, Bm, Cm are the tristimulus values corresponding to the mixed light, A _l , B _l , C _l are the tristimulus values corresponding to the lth color light; for all color lights, the corresponding tristimulus values and chromaticity coordinates The relationship is as follows:

Where (am, bm) is the color coordinate corresponding to the mixed light, (al, bl) is the color coordinate corresponding to the color temperature of the lth color light; In summary, the relationship between color coordinates and brightness is as follows:

where E _l is the illuminance formed by each color light on the illuminated surface; S143 When light of different colors is mixed, the color temperature in the mixed light environment is the mixed visual color temperature. The calculation formula of the average value of the mixed visual color temperature on the working surface M-A(Tm) is as follows:

where _Tm , j is the mixed color temperature on the jth (j∈[1,M]) working surface in the office, and the calculation formula of the mixed visual color temperature uniformity VT is as follows:

Among them, Min(Tm) is the minimum value of mixed visual color temperature; MA(Tm) is the average value of mixed visual color temperature; At the same time, the calculation formula of the correlated color temperature of mixed white light:

Where Tm is the color temperature of the mixed light source, Q is the coefficient of the color coordinate of the light source, K is the reciprocal of the isothermal slope, and (am, bm) is the color coordinate of the light source; To sum up, when the color coordinates of m light sources and the illuminance generated on the illuminated surface are known, the correlated color temperature of the mixed white light can be obtained, and then the color temperature can be adjusted. 2. The office light environment control system based on natural lighting according to claim 1, characterized in that: the LED light bar is suspended above the workstation, and the LED light bar is provided with a protective plate around it; the indoor human body induction sensor is parallel to the indoor photosensitive The sensor is installed perpendicular to the LED light strip protection board; the indoor photosensitive sensor is located outside the LED light strip protection board and is installed perpendicular to the protection board; the communication module is parallel to the indoor human body induction sensor and perpendicular to the LED light strip protection board Board installation, the LED driver module is installed parallel to the communication module and perpendicular to the LED light strip protection board. 3 . The office light environment regulation system based on natural lighting according to claim 1 , wherein the communication module is a 4G communication module. 4 . 4. the office light environment regulation system based on natural lighting according to claim 1, is characterized in that: the solution process of the fitness function Ga (t) in described S13 step is as follows: First of all, according to the basic principle of particle swarm algorithm, take N particles and iterate at most T times. Therefore, in order to meet the average illuminance requirement of the working surface, the total power consumption of the lamp is the smallest, and the fitness function is set as:

(when Eraj+Esaj<Enaj); where:

is the total power consumption of the lamp dimming device, D is the total number of lamps; μi is the light effect; ψ is the luminous flux; i is the i-th lamp; Eraj is the supplementary illuminance obtained at the jth station calculated from the current lamp combination particles, Esaj is the illuminance value of natural lighting at the jth station, and Enaj is the minimum illuminance value required at the jth station; When Eraj+Esaj<Enaj,

Represents the sum of squares of the error between the total illuminance and the required illuminance at each station. In order to reach the same order of magnitude as the total power consumption of the lamps, it should be multiplied by 1000 as one of the conditions in the fitness function; Since the smaller the particle fitness value is, the better it is, and it is used as the individual optimal particle and the group optimal particle when determining the individual optimal position of the particle and the optimal group position. For any i-th particle in the t-th iteration , and its fitness fi(t) can be calculated according to the above fitness function; If the fitness value of the particle is added as the last column of the particle swarm position matrix, that is, the particle swarm fitness and position combination matrix part(t) is:

In this matrix, t represents the matrix when the matrix is the t-th iteration, (t=1,2,...,T); The individual optimal matrix pbest(t) of the particle swarm is:

ψ' is the luminous flux in the optimal matrix; f' is the fitness in the optimal matrix; The overall optimal matrix Ga(t) of the particle swarm is: Ga(t)=[ψ _1t ^(t) ... ψ _Dt ^(t) f _t ^(t) ].

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