CN109874202B

CN109874202B - Integrated classroom scene type self-adaptive lighting system for kindergarten, control device and control method

Info

Publication number: CN109874202B
Application number: CN201910287213.XA
Authority: CN
Inventors: 王育红; 邹细勇; 井绪峰
Original assignee: China Jiliang University
Current assignee: Zhejiang Zhiduo Network Technology Co ltd
Priority date: 2018-12-29
Filing date: 2019-04-03
Publication date: 2021-02-02
Anticipated expiration: 2039-04-03
Also published as: CN112689360A; CN112689359A; CN112689361A; CN109874202A

Abstract

The invention provides a kindergarten integrated classroom scene type self-adaptive illumination system, a control device and a control method. According to the invention, the grading value can be adjusted according to the current activity scene in the classroom, so that the optimized illumination condition can meet the illumination requirements of different activity scenes such as lectures, games, handwork, demonstration, dining, lunch break and the like, the pertinence of dimming is improved, and a reasonable illumination environment is provided for infants.

Description

Integrated classroom scene type self-adaptive lighting system for kindergarten, control device and control method

Technical Field

The invention belongs to the field of intelligent illumination, and particularly relates to a kindergarten integrated classroom scene type self-adaptive illumination system, a control device and a control method.

Background

In the education activities of kindergartens, the environment is taken as a hidden course, and more attention is paid to people in the aspects of developing intelligence and promoting personality of children. The environment is an important educational resource, and the development of infants should be effectively promoted by creating and utilizing the environment, wherein the lighting environment is an important component of the educational activity environment.

The kindergarten mainly aims at children of 3-6 years old, and the children are still in the physical development stage, and most importantly, eyes are in development, if the kindergarten is not reasonably designed on light, light pollution can be caused, certain damage can be caused to the eyes of the children, and therefore the kindergarten can be emphasized to avoid the occurrence of too dazzling light in the process of carrying out kindergarten decoration design.

With the increase of social investment, at present, the classrooms of a plurality of kindergartens are designed or improved according to integrated multipurpose rooms such as a movable room, a bedroom, a bathroom and the like. Compared with the application of single activity and teaching classrooms in the past, the novel integrated classroom has the function characteristic of integration of playing and learning, so that the requirement different from the traditional classroom illumination design appears in the aspect of environmental design, particularly illumination control.

In the actual operation process of the traditional lighting system for the classroom of the kindergarten, the lamps can be controlled only by a few simple switches. The arrangement of the lamps is generally optimally designed according to the illumination requirement of a desktop, and the assumed application scene is also all-on or all-off of each main area of a classroom.

With the advent and development of intelligent lighting technology, independent, dimming lamp control means have been very easily obtained and implemented. Therefore, in recent years, regulations are provided in lighting design specifications of various classrooms, and it is required that a conditional school preferably selects an intelligent lighting control system in combination with natural lighting to realize constant illumination control and dimming control. For example, in lighting design standard DB51/T-2015 of schools and kindergarten classrooms in the province of middle and primary schools and in the province of Sichuan, it is explicitly pointed out that for a conditional classroom, it is appropriate to adopt control measures of partitioning, grouping and automatic dimming according to the classroom function setting lighting condition, natural lighting condition and classroom working mode, and to select an intelligent control system to realize automatic dimming according to the classroom illumination requirement in combination with natural lighting.

The kindergarten classroom can improve indoor closed feeling and oppression feeling by directly introducing sunshine into the room, and simultaneously supplements natural light by means of artificial light, thereby enabling the indoor space to look more familiar and natural. Compared with the traditional switch type control, the multiple colors presented by indoor light color conversion can bring more fun to children. Meanwhile, in kindergarten lighting, the design of indoor light color is also an important element for children to communicate, for example, when children learn and perform, the children need lighting environment similar to a stage, and more vertical illumination than that in a common scene is needed in a demonstration area, so that the recognition function is enhanced, and the communication effect of demonstration or performance is improved. Therefore, the child can experience the aesthetic feeling of the indoor space in the using process, the child can be identified to a greater extent, and the life style and the life quality of the child are changed.

In addition to ambient light brightness in the general sense, intelligent lamp control requires consideration of lighting effects for different lighting conditions. There are many aspects of environmental lighting factors affecting human vision, including illumination level, illumination distribution, color appearance, light and shadow color, and the like. The human eye has two functions, namely a photosensitive function, namely, light reaches the eye ground through an optical system of the eye to form an object image on the retina; the other is a visual signal processing function, namely, the retina converts and processes the light energy of the object image into nerve impulses, and the impulses are transmitted into human eyes through ganglion cells, so that visual and non-visual effects are generated. After the third kind of photoreceptor cells on the retina of the human eye, namely the intrinsic photoreceptor retinal nerve knot cells, are discovered, it has been proved that the third kind of photoreceptor cells can control the human circadian rhythm, biological clock and human eye pupil size by generating a series of chemical and biological reactions to the visible radiation entering the human eye, thereby having influence on the human physiology, psychology and the like.

The color temperature of the illumination also has great influence on the cognition and the feeling of the children. In the traditional design, according to the characteristics of kindergarten, common activity rooms, sound activity rooms, medical health rooms, isolation rooms and office rooms are generally illuminated by lamps with daylight color light sources, and other places such as rest areas and toilets are illuminated by incandescent lamps and other low color temperature lamps. By taking the traditional lighting law as a reference, in an integrated classroom, the light of the sleeping and resting area of the infant should be warm and not dazzling; the light in the classroom learning area and the amusement area needs to be bright and practical, and cannot be too dark or too bright; the light of the toilet for children is also warm and soft; the classroom as a whole should be protected from light pollution and strong light. These lighting requirements are difficult to achieve with conventional on-off control, and online detection and automatic adjustment based on offline settings can effectively achieve intelligent adjustment of the lighting environment in the kindergarten classroom.

Currently, many schemes for automatic control have emerged for traditional classroom lighting. Among the existing classroom lighting schemes, some focus on the illuminance distribution of a desk when a night artificial light source is used for lighting, for example, in the application of the Chinese invention patent with the patent number of 2017109662294, a camera is used for detecting the number of people, and the illuminance is adjusted according to the difference of the number of people in each subarea; the chinese patent application No. 2014107085532 discloses that the light and curtain are controlled according to whether the projector is used in the multimedia classroom light. The control schemes are mainly used for intelligently controlling the illumination of a certain target according to the characteristics of the illumination requirement at night, but the illumination of a classroom integrated with a kindergarten is a complex system, the system is mainly used for light supplement illumination of children in the classroom in the daytime, and the illumination is closely related to the psychological and physiological activities of people. According to the requirements of various functional partitions of a kindergarten integrated classroom and various movable scenes on multiple aspects of illumination, an intelligent regulation and control system comprehensively considering various indexes such as illumination, illumination distribution, cold, warm and color temperatures and the like is needed.

SUMMARY OF THE PATENT FOR INVENTION

At present, no intelligent lamp control system specially oriented to a kindergarten integrated classroom exists. Aiming at the diversified demands of each function partition and active scene in the existing kindergarten integrated classroom on the lighting environment, the invention aims to provide a kindergarten integrated classroom situational self-adaptive lighting system, a control device and a control method, wherein in an off-line state, a photochromic scoring function of color temperature, illumination gradient and illumination uniformity under different active scenes in 6 function areas such as an active area, a demonstration area, a rest area, a drinking area, a toy area, a washing area and the like is established according to the characteristics of a baby, the color temperature and the illumination of each test point under different driving current combinations of a dimmable lamp group in a classroom are obtained through sample collection, and a dimming lighting distribution table is established; when the intelligent lighting system is applied online, the current activity modes in a classroom, such as class listening, game playing, manual playing, demonstration, dining, lunch break and the like, are identified based on classroom images and human body sensor signals and combined with current time characteristics, each test point selects a respective photochromic scoring function according to the position and calculates the scoring values of 4 factors, such as color temperature, illumination uniformity and illumination gradient, a multi-objective optimization algorithm optimizes the driving current values of each LED string of the dimmable lamp bank based on the total scoring values, the optimal results are transmitted to a driver and then the light emitting of the lamp bank is changed, and intelligent lighting suitable for various activities in an integrated classroom is achieved.

One of the technical solutions of the present invention is to provide a kindergarten-integrated classroom scene type adaptive lighting control device with the following structure, which includes a control unit and a user interface unit, wherein the control unit further includes an input module, a light color processing module, an image processing module, a lighting optimization processing module, a dimming mapping module, an output module and a storage module, and the control unit is configured to:

based on a functional model of a kindergarten integrated classroom, the functional model is divided into 6 functional areas such as an active area, a demonstration area, a rest area, a drinking area, a toy area and a wash area, and a photochromic scoring function of color temperature, illumination intensity gradient and illumination intensity uniformity of each functional area in the classroom under different scenes such as listening, games, manual work, demonstration, dining and lunch break is established in a storage module according to the use characteristics of each functional area;

the input module respectively acquires color temperature and illumination signals of a plurality of test points of a classroom integrated with the kindergarten, classroom scene images and personnel on-site signals of a preset area from a photochromic sensing unit, an image acquisition unit and a human body detection unit of the system,

based on the color temperature and the illumination signal, the light color processing module acquires a color temperature value, an illumination gradient value and an illumination uniformity value of each region of the classroom,

the image processing module extracts image characteristics and personnel position characteristics aiming at the scene image and the personnel on-position signals corresponding to the image based on a scene detector trained by a training image set, and identifies the illumination scene of the image according to the image characteristics, the personnel position characteristics and the current time characteristics,

the dimming mapping module obtains a dimming illumination distribution table of each LED string by changing the driving current value of each LED string in a dimming lamp group consisting of a strip lamp and a spot lamp in a classroom and recording the color temperature value and the illumination value of each functional area test point when each corresponding LED string is combined to illuminate, and the dimming illumination distribution table is kept in the storage module,

based on the dimming illumination distribution table, the light color scoring function and the identified illumination scene, the illumination optimization processing module optimizes each LED string driving current value in the dimmable lamp bank within the space range of the possible value of the LED string driving current value through a multi-objective optimization algorithm, and transmits an optimization result to a driver of the corresponding LED string through the dimming mapping module and the output module, wherein scoring of each LED string driving current combination in the optimization process is based on total illumination of light output corresponding to the driving current combination and current natural light mixed illumination.

Preferably, each record of the dimming illumination distribution table includes n-channel LED string driving current values of the dimming lamp set, and color temperature and illuminance values obtained by the corresponding color processing module after signal processing of the test points of the m color sensing modules in the color sensing unit,

the control unit is further configured to:

sending dimming signals to the dimmable lamp set in a stepping change mode through the dimming mapping module and the output module, detecting the changed light environment, acquiring the color temperature and the illuminance value at the test point, and repeating the steps until the recorded samples cover the value intervals of the driving currents of the LED strings;

in the processing process of the multi-objective optimization algorithm, firstly, initialization is carried out, a strategy for encoding n paths of LED string driving current parameters is determined, and respective value intervals are determined; secondly, aiming at each individual in the evolution group in the search space, based on n-path driving current parameter values, searching a dimming illumination distribution table to obtain the color temperature and illumination value of the artificial light corresponding to the individual in each test point, calculating the color temperature and illumination value of the artificial light and the total illumination of the current natural light mixed illumination corresponding to each test point, and respectively calculating the color temperature score value f based on the calculated color temperature and illumination value of each test point according to the identified light color score function of the illumination scene₁Illuminance score value f₂And obtaining the illuminance gradient and the illuminance uniformity value of each row of test points along the parallel line of the window by calculation, and further respectively calculating the illuminance uniformity score value f₃Illuminance gradient score value f₄And carrying out weighted summation on the 4 scoring values to calculate a total scoring value f-k corresponding to the individual₁·f₁+k₂·f₂+k₃·f₃+k₄·f₄Wherein k is_i(i is 1, 2, 3, 4) is a preset weighting coefficient, and the inheritance, intersection and variation operations are carried out according to the total score value to update the evolutionary population; and then, repeatedly evolving the population until the optimization is finished, and outputting an optimization result.

Preferably, the dimming illumination distribution table can be further represented by a BP neural network instead, the input quantity of the BP neural network is n paths of LED string driving current values, the output quantity is 2m parameters of color temperature and illuminance values obtained after the test point signals of m light color sensing modules in the light color sensing unit are processed by the light color processing module,

the model of the BP neural network is as follows:

the jth node of the hidden layer outputs

The p-th node of the output layer outputs

Wherein the f () function is taken as sigmoid function, w_ijAnd v_jpRespectively the connection weight from the input layer to the hidden layer and the connection weight from the hidden layer to the output layer, a_jAnd b_pAnd (3) respectively representing hidden layer and output layer thresholds, wherein p is 1, 2m, and k is the number of nodes of the hidden layer, and the network training is carried out by adopting a gradient descent method.

Preferably, the calculation processing procedure of the total illumination is as follows:

firstly, aiming at n-path driving current parameter values of the individual, searching a dimming illumination distribution table to obtain a first color temperature value and a first illumination value of each point of m test points when the dimming illumination distribution table correspondingly combines and individually illuminates, and simultaneously, processing a detection signal of a light color sensing module of each test point to obtain a second color temperature value and a second illumination value of current natural light at the position of the test point; then, based on the conversion relation from color temperature to color coordinate, converting the first and second color temperature values into first and second xyz color coordinates, and simultaneously based on the conversion ratio from the illumination of the light color sensing module to the brightness, converting the first and second illumination values into first and second brightness; converting the first XYZ color coordinate and the first brightness into a first XYZ tristimulus value, converting the second XYZ color coordinate and the second brightness into a second XYZ tristimulus value, and adding X, Y, Z tristimulus values of the first XYZ tristimulus value and the second XYZ tristimulus value respectively to obtain a total XYZ tristimulus value; converting the total XYZ tristimulus values into total XYZ color coordinates, further converting the total XYZ color coordinates into total color temperature, and simultaneously adding the first and second illumination values to obtain total illumination; and finally, calculating the grading value of each factor of the individual according to the total illumination, the total color temperature value, the calculated illumination gradient and the illumination uniformity value and the identified light color grading function of the lighting scene.

Preferably, the photochromic scoring function is defined as follows:

for illumination, the scoring function is,

wherein E is the current illumination, bE and cE are the lower limit value and the upper limit value of the interval which is obtained according to statistics and covers the expected illumination value of the people with the set proportion under the current scene, and aE and dE are the other two preset lower limit values and the upper limit values under the current scene respectively;

for uniformity of illumination, the scoring function is,

wherein, U is the current illuminance uniformity, bU is a reference value set according to the standard, and aU is a preset lower limit value;

for the illumination gradient, the scoring function is,

wherein D is the current illumination gradient, D is the set reference value, and σ is a preset width value;

for color temperature, when its maximum human expectation value belongs to a medium-high color temperature, its score function is,

when the color temperature is most expected by a plurality of persons to belong to the medium and low color temperatures, the scoring function is,

wherein, W is the current color temperature, bW and cW are the lower limit and the upper limit of the middle and high expected color temperature interval covering the number of people with the set proportion obtained according to statistics in the current scene, aW and dW are the other two preset lower limits and upper limits in the current scene, respectively, and hW is the upper limit of the middle and low expected color temperature interval covering the number of people with the set proportion obtained according to statistics in the current scene.

Preferably, the definition of the photochromic scoring function also adopts the following rule:

for the active area: the illumination value interval corresponding to the highest score value of the illumination score function is limited between 500Lx and 700Lx except for a manual scene, and other scenes are limited between 300Lx and 500 Lx; in a class attending scene, a color temperature value range corresponding to the highest score value of the color temperature scoring function is limited to 4500-6000K; in a manual scene, a color temperature value range corresponding to the highest score value of the color temperature scoring function is limited to 3700-4500K; in a game scene, a color temperature value range corresponding to the highest score value of the color temperature scoring function is set according to a medium-low expected color temperature range, and the upper limit value of the color temperature value range is limited below 4000K; in a dining scene, a color temperature value range corresponding to the highest score value of the color temperature scoring function is set according to the middle-low expected color temperature range, and the upper limit value of the color temperature value range is limited below 3300K;

for drinking areas: the illumination value interval corresponding to the maximum score value of the illumination scoring function is limited to be 200-300 Lx, and the color temperature value interval corresponding to the maximum score value of the color temperature scoring function is limited to be 3700-4500K;

for a toy area, an illumination value interval corresponding to the highest score value of the illumination scoring function is limited to 300-500 Lx, a color temperature value interval corresponding to the highest score value of the color temperature scoring function is set according to a medium-low expected color temperature interval, and the upper limit value of the color temperature value interval is limited to be below 4000K;

for a rest area, in a noon break scene, in the time range of falling asleep and getting up in the noon break time period, the illumination value interval corresponding to the maximum score value of the illumination scoring function is limited to be between 100 and 150Lx, and the color temperature value interval corresponding to the maximum score value of the color temperature scoring function is set according to the middle-high expected color temperature interval and is limited to be between 3300 and 3700K;

for the presentation area, under the presentation scenario: the color temperature value range corresponding to the maximum score value of the color temperature scoring function is set according to the middle-low expected color temperature range, and the upper limit value of the color temperature value range is limited below 4000K; the illuminance comprises horizontal illuminance and vertical illuminance, a horizontal illuminance value section corresponding to the highest score value of the illuminance scoring function is limited between 500Lx and 750Lx, and the illuminance score value f₂Also multiplied by the score f of the ratio of horizontal to vertical luminance₂₀，

Wherein, EB is the ratio of the current horizontal illumination and the vertical illumination, aEB, bEB, cEB and dEB are respectively four preset values, and the values of bEB and cEB are smaller than those of performance type demonstration in the teaching type demonstration.

for the active area:

for the color temperature, in rainy days, both the lower limit value and the upper limit value of the color temperature interval are reduced by 300-500K; in a sunny day, both the lower limit value and the upper limit value of the color temperature interval are increased by 300-500K,

for the illumination, the total score value f of each individual in the evolutionary population in the search space is adjusted according to the similarity between the illumination parameter to be scored and the current sunlight:

f′＝f·(1+η)，

η＝α·sim(e，enow)，

wherein alpha is a set coefficient, and e is the ratio of the illumination to be scored to the maximum illumination, namely the relative illumination; enow is the relative illumination of sunlight at the current moment in the weather forecast obtained from the weather forecast server, the relative illumination of sunlight is the ratio of the current sunlight brightness to the midday sunlight brightness, a similarity function sim (,) adopts a normal distribution function or a triangular distribution function with a second parameter as the center, the distribution amplitude is set according to the value range of the first parameter, eta is an adjustment coefficient, and f' are the score values before and after adjustment respectively.

In another embodiment of the present invention, there is also provided a kindergarten-integrated classroom situational adaptive lighting system, which includes a user interface unit, a light color sensing unit, an image acquisition unit, a human body detection unit, a dimmable lamp set, a server, and a control unit connected to the user interface unit, the light color sensing unit, the image acquisition unit, the human body detection unit, the dimmable lamp set, and the server,

the user interface unit comprises a display screen and an operation panel for entering parameters and initiating operations,

the photochromic sensing unit comprises a plurality of photochromic sensing modules and is used for detecting photochromic parameters such as illumination, color temperature and the like of light,

the image acquisition unit is used for acquiring an image of a lighting scene in a classroom,

the human body detection unit is used for detecting human body information of a preset area in a classroom,

the adjustable light set comprises a plurality of bar-shaped lamps and a plurality of spot lights arranged in a demonstration area, the bar-shaped lamps and the spot lights are both LED lamps, and the LED lamps are provided with at least one LED string with adjustable color temperature and brightness,

the control unit further comprises an input module, a light color processing module, an image processing module, a lighting optimization processing module, a dimming mapping module, an output module and a storage module, and the control unit is configured to:

the input module receives setting parameters and user operation instructions through the user interface unit, respectively acquires color temperature and illumination signals of a plurality of test points of a classroom integrated with the kindergarten, classroom scene images and personnel on-site signals of a preset area from the light color sensing unit, the image acquisition unit and the human body detection unit,

the dimming mapping module obtains a dimming illumination distribution table of each LED string by changing the driving current value of each LED string of the dimming lamp group in a classroom and recording the color temperature value and the illumination value of each functional area test point when each corresponding LED string is combined to illuminate, and the dimming illumination distribution table is kept in the storage module,

based on the dimming illumination distribution table, the light color scoring function and the identified illumination scene, the illumination optimization processing module optimizes each LED string of the dimmable lamp bank within the space range of the possible value of the driving current value of the LED string through a multi-objective optimization algorithm, and transmits an optimization result to a driver of the corresponding LED string through the dimming mapping module and the output module, the driver adjusts the light by changing the driving current of the LED string, wherein scoring of the driving current combination of each LED string in the optimization process is based on the total illumination of the light output corresponding to the driving current combination and the current natural light mixed illumination.

Preferably, each record of the dimming illumination distribution table in the system comprises n paths of LED string driving current values of the dimming lamp group and color temperature and illuminance values obtained after the corresponding color processing module processes signals of the test points of the m color sensing modules in the color sensing unit;

preferably, the dimmable light set comprises two LED strings of high color temperature and low color temperature, each LED string corresponds to a driving current channel, the dimming illumination distribution table is a mapping table of combination of two-channel current values (i1, i2) to color temperature and illuminance values of each test point,

in the processing process of the multi-objective optimization algorithm, for the combination of the two-channel current values (i01, i02) corresponding to each individual in the evolution group, the color temperature and the illumination value of each test point are obtained by interpolation search in the mapping table;

the lamp group adjusts the driving current value of each LED string in the lamp group through a driver, and the optimization result of the multi-objective optimization algorithm is the PWM wave duty ratio value of the driving current of the LED strings.

Preferably, the system further comprises an opening-adjustable curtain, the control unit further sends an opening-adjusting instruction to the opening-adjustable curtain through the output module, so that the curtain changes the luminous flux of the incident natural light,

the bathroom lamp is characterized by also comprising a bathroom lamp, a bathroom human body detection module connected to the control unit is arranged near the bathroom lamp, the control unit also sends a dimming instruction to the bathroom lamp according to a sensing signal of the bathroom human body detection module,

each spotlight further comprises at least one irradiation angle adjusting module with adjustable inclination angle, the inclination angle is adjusted by changing the driving current of the irradiation angle adjusting module, and the dimming mapping module changes the inclination angle while changing the driving current of each LED string.

In yet another embodiment of the present invention, there is also provided a kindergarten-integrated classroom-scenario adaptive lighting control method, including the steps of:

s1, initializing, building a dimming illumination distribution model and a light color grading model in the control unit,

a light-adjustable lamp group consisting of strip lamps and spot lamps which all adopt LED lamps is arranged in a classroom integrated with a kindergarten, each LED lamp is provided with at least one LED string with adjustable color temperature and brightness,

based on a functional model of a kindergarten integrated classroom, the functional model is divided into 6 functional areas such as an active area, a demonstration area, a rest area, a drinking area, a toy area and a wash area, and a photochromic scoring function of color temperature, illumination intensity gradient and illumination intensity uniformity of each functional area in the classroom when the functional area is illuminated under different scenes such as lecture listening, game playing, manual work, demonstration, dining, lunch break and the like is established according to the use characteristics of each functional area, and is used as a photochromic scoring model;

the dimming illumination distribution model is the corresponding relation from all n paths of LED string driving current values of the dimming lamp set to color temperature values and illuminance values at each test point of a classroom, the test point is the test position of m light color sensing modules in the light color sensing unit,

s2, sending dimming signals to each LED string of the dimmable lamp set in a step-by-step changing mode through the output module of the control unit, collecting signal samples of each lighting environment after dimming change, extracting n paths of LED string driving current values in the dimming signals, collecting and processing to obtain color temperature and illuminance values at each test point, recording and storing the current, the color temperature and the illuminance values in a dimming lighting distribution model,

meanwhile, under various lighting environments of different scenes, an expert scores the lighting conditions according to the activity characteristics of the infant, and the scores are counted and then the light color scoring functions of color temperature and illumination intensity under different lighting scenes are respectively adjusted;

s3, during online control, based on a scene detector trained by a training image set, extracting image features and personnel position features aiming at a current classroom scene image and a personnel on-site signal corresponding to the image, and identifying a current lighting scene according to the image features, the personnel position features and a current time feature;

s4, optimizing the current parameters of each LED string by adopting a multi-objective optimization algorithm,

firstly, determining strategies for encoding and decoding driving current parameters of each LED string, determining respective value intervals of the strategies, and determining parameters such as population scale, cross probability, variation probability and the like in optimization calculation;

s5, randomly generating an initial population;

s6, aiming at each individual in the evolutionary population in the search space, decoding to obtain n paths of LED string driving current parameters, and searching the dimming illumination distribution model through multi-dimensional interpolation according to the current parameters to obtain the color of the artificial light corresponding to the dimming illumination distribution model at each test pointTemperature and illumination value, calculating the color temperature and illumination value of the total illumination of the artificial light and the current natural light mixed illumination corresponding to each test point, and respectively calculating the color temperature score value f based on the calculated color temperature and illumination value of each test point according to the identified light color score function of the illumination scene₁Illuminance score value f₂And obtaining the illuminance gradient and the illuminance uniformity value of each row of test points along the parallel line of the window by calculation, and further respectively calculating the illuminance uniformity score value f₃Illuminance gradient score value f₄Weighting and summing the 4 scoring values to calculate a total scoring value f corresponding to the individual,

s7, performing cross inheritance and mutation operations based on the total score value, and updating an evolutionary population;

s8, turning to the step S6, iterating repeatedly until the search is finished, and outputting a Pareto optimization solution;

and S9, the dimming mapping module transmits the optimizing result to the driver of each corresponding LED string through the output module, and the driver performs dimming by changing the driving current of the LED string.

Preferably, the dimming illumination distribution model is represented by a dimming illumination distribution table.

Compared with the prior art, the scheme of the invention has the following advantages: the invention evaluates various combinations of driving currents in the dimmable lamp group by establishing the photochromic scoring function of different activity scenes of each subarea based on the functional subareas of the integrated classroom of the kindergarten and the lighting requirement characteristics of the infants and the dimming lighting distribution table of the dimmable lamp group consisting of the strip lamps and the spot lamps in the classroom, and the photochromic scoring function can be adjusted according to different activity scenes in the classroom, so that the optimization solution obtained by multi-objective optimization can meet different lighting requirements of different activity scenes such as lecture listening, games, handwork, demonstration, dining, lunch break and the like, thereby improving the pertinence of lighting control, optimizing the lighting effect and providing a more effective lighting environment for the integrated classroom. Meanwhile, the illumination and the color temperature of classroom illumination can be optimized according to different weather conditions, a natural and comfortable illumination environment is created for the classroom, and the space experience of the infant is improved.

Drawings

Fig. 1 is a composition structural view of a kindergarten-integrated classroom situational type adaptive illumination control apparatus and a kindergarten-integrated classroom situational type adaptive illumination system;

FIG. 2 is a block diagram of the components of the control unit;

FIG. 3 is a schematic view of an integrated classroom lighting environment for a kindergarten;

FIG. 4a is a schematic view of a functional partition of a kindergarten integrated classroom;

FIG. 4b is a schematic diagram showing the arrangement of light sets and detection points in an integrated kindergarten classroom;

FIG. 5 is a schematic view of a vertical illuminance monitoring point;

FIG. 6a is a diagram illustrating a scene with a desk;

FIG. 6b is a diagram illustrating a desk-free lesson-listening scenario;

FIG. 6c is a schematic view of a manual versus dining scenario;

FIG. 6d is a schematic view of a game scenario;

FIG. 7a is a diagram illustrating an illuminance scoring function;

FIG. 7b is a graph showing an illuminance uniformity score function;

FIG. 7c is a diagram of a mid-to-high color temperature scoring function;

FIG. 7d is a diagram illustrating a mid-to-low color temperature scoring function;

FIG. 7e is a graph showing an illumination gradient scoring function;

FIG. 7f is a graph showing a horizontal luminance versus vertical luminance scoring function;

FIG. 8 is a flow chart of contextual adaptive lighting optimization;

fig. 9 is a flowchart of the method for controlling adaptive lighting in a classroom integrated with a kindergarten.

Wherein:

2000 kindergarten integrated classroom scene type self-adaptive lighting system, 100 control units, 200 user interface units, 300 light color sensing units, 400 image acquisition units, 500 human body detection units, 600 bar lamps, 700 spot lamps, 800 bathroom lamps, 900 servers, 1000 kindergarten integrated classroom scene type self-adaptive lighting control devices,

110 input module, 120 light color processing module, 130 image processing module, 140 illumination optimization processing module, 150 dimming mapping module, 160 output module, 170 storage module,

310/320 light color sensing module, 410 image acquisition module, 510/520 human body detection module, 610/710 driver, 620/720LED string,

11 windows, 12 partitions, 13 doors, 14 projection cloth, 15 desks, 16 chairs and 17 curtains

The toy comprises a Z1 active area, a Z2 demonstration area, a Z3 rest area, a Z4 drinking area, a Z5 toy area and a Z6 washing area.

Detailed Description

Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, but the present invention is not limited to only these embodiments. The invention is intended to cover alternatives, modifications, equivalents and alternatives which may be included within the spirit and scope of the invention.

The invention is described in more detail in the following paragraphs by way of example with reference to the accompanying drawings. It should be noted that the drawings are in simplified form and are not to precise scale, which is only used for convenience and clarity to assist in describing the embodiments of the present invention.

Example 1

Referring to fig. 1 and 9, the kindergarten integrated classroom scene type adaptive lighting control method of the present invention includes the following steps:

s5, randomly generating an initial population;

s6, aiming at each individual in the evolutionary group in the search space, decoding to obtain n paths of LED string driving current parameters, searching a dimming illumination distribution model through multi-dimensional interpolation according to the current parameters to obtain the color temperature and illumination value of the corresponding artificial light at each test point, and calculating the total light of the artificial light and the current natural light mixed illuminationAccording to the color temperature and the illumination value corresponding to each test point, respectively calculating the color temperature scoring value f based on the calculated color temperature and illumination value of each test point according to the identified light color scoring function of the lighting scene₁Illuminance score value f₂And obtaining the illuminance gradient and the illuminance uniformity value of each row of test points along the parallel line of the window by calculation, and further respectively calculating the illuminance uniformity score value f₃Illuminance gradient score value f₄Weighting and summing the 4 scoring values to calculate a total scoring value f corresponding to the individual,

Example 2

As shown in fig. 1 and 2, the kindergarten-integrated classroom-scenario adaptive lighting control apparatus 1000 includes a control unit 100 and a user interface unit 200. The user interface unit 200 includes an operation panel including keys and a display screen for parameter input and manual control operations. The control unit 100 includes an input module 110, a light color processing module 120, an image processing module 130, a lighting optimization processing module 140, a dimming mapping module 150, an output module 160, and a storage module 170.

The input module 110 respectively obtains setting parameters and user operation instructions, color temperature and illumination signals of each test point, classroom scene images and person presence signals in a preset area through the user interface unit 200, the light color sensing unit 300, the image acquisition unit 400 and the human body detection unit 500.

Referring to fig. 2, the light color processing module 120 includes an illuminance detector and a color temperature detector, based on the color temperature and the illuminance signal input from the input module 110, the color temperature detector in the light color processing module 120 processes the color temperature signal to obtain the color temperature value of each area in the classroom, and the illuminance detector processes the color temperature value to obtain the illuminance gradient and the illuminance uniformity value of each row of test points along the parallel line of the window.

The image processing module 130 includes a scene detector trained based on a training image set, and the scene detector extracts image features of a current classroom scene image collected by the image collecting unit, and identifies a current lighting scene according to the image features and by combining a person position feature and a current time feature identified according to a person presence signal detected by the human body detecting unit.

Referring to fig. 1 and 4a, based on a functional model of a kindergarten-integrated classroom, the functional model is divided into 6 functional areas, such as an active area Z1, a demonstration area Z2, a rest area Z3, a drinking area Z4, a toy area Z5 and a lavatory area Z6, and a light color scoring function of color temperature, illumination intensity gradient and illumination intensity uniformity of each functional area in the classroom under different scenes, such as lectures, games, manual work, demonstration, dining and lunch break, is established in the storage module 170 according to the use characteristics of each functional area.

As shown in fig. 4a, in a rectangular classroom, two doors 13 are arranged on the left side to face the aisle, a window 11 is arranged on the right side to collect light, a drinking area Z4 is arranged on the lower left corner, and an adjacent construction area or toy area Z5 and a lavatory area Z6 are arranged on the upper left part; the other large areas are an active area Z1 and a rest area Z3, wherein the active area is divided into a demonstration area Z2 on the side close to the rest area, and the demonstration area Z2 is separated from the rest area Z3 by furniture or a partition 12.

The dimming mapping module 150 obtains a dimming illumination distribution table of each LED string by changing a driving current value of each LED string in a dimming lamp group composed of the bar lamp 600, the spot lamp 700, and the like in the classroom, and recording a color temperature value, an illuminance uniformity and an illuminance gradient value of each functional area test point when each corresponding LED string is combined to illuminate; the dimmed lighting distribution table and the light color scoring function are maintained in a memory module. And calculating the grading value of different value combinations of each LED string in the dimmable lamp set through the dimming illumination distribution table and the light color grading function.

Therefore, based on the dimming illumination distribution table, the light color scoring function and the identified illumination scene, the illumination optimization processing module 140 optimizes each LED string driving current value of the dimmable lamp bank within the appreciable space range through a multi-objective optimization algorithm, and transmits the optimization result to the driver of the corresponding LED string through the dimming mapping module and the output module. The multiple targets comprise 4 grading indexes such as color temperature, illumination uniformity and illumination gradient of the current lighting scene, and the grading of the driving current combination of each LED string in the optimization process is based on the evaluation of the total illumination of the light emitted by the corresponding driving current combination and the current natural light mixed lighting.

Referring to fig. 1 and 3, the dimming mapping module 150 outputs a dimming command to the dimmable light set through the output module 160, where the dimming parameter set includes a driving current value of each LED string. Preferably, the adjustable light group has n paths of LED strings.

As shown in fig. 4a and 4b, after the LED strings emit light, the light on the illuminated surface of the active area Z1, the demonstration area Z2, the rest area Z3, the drinking area Z4, the toy area Z5, etc. is detected by the light color sensing modules 310 distributed at m test points, and the color temperature and the illuminance value at each test point are obtained after the sensing signals are processed by the light color processing module 120.

The kindergarten is mainly cultivated in the kindergarten in the daytime, and the lighting of the integral classroom of the kindergarten is mainly light supplement lighting for natural light in the daytime. In the daytime, natural light enters the room through the window 11 and is blocked by the curtain 17. In general, in a clear weather, natural light is brighter than artificial light emitted by the adjustable light set, and therefore, in the integrated classroom, the illumination of the area on the window side is significantly stronger than that on the side close to the door 13. For an integral classroom with a large depth, if the distribution of illumination is not well controlled, the problem that the brightness at the side of a window is far greater than that at the inner side is easily caused, and in the space, infants are easily influenced by the depressed mood of the space. In order to avoid the influence of the phenomenon on the development of the infant, the illumination distribution in the classroom space is uniform as much as possible, and the gradient change of the illumination is reduced.

Therefore, when the illumination of the integral classroom is controlled in a self-adaptive mode, a grading index of an illumination gradient is supplemented in the process of optimizing the contrast distribution. The illuminance gradient is the illuminance gradient value of each row of test points along the parallel line of the window, namely the average value of the illuminance of the test points on each row of lines parallel to the window is obtained; then, the average value of the illuminance of the current column is differentiated from the average value of the illuminance of the column adjacent to the window side column by column from the column adjacent to the window toward the inner side.

As shown in FIG. 4b, in the integrated classroom, the main artificial light sources are bar lights 600 arranged in rows and columns, and a spot light 700 is arranged in the demonstration area. The bar lamp 600 and the spotlight 700 both adopt LED lamps, and the brightness and the color temperature are changed by changing the driving current of the LED strings through the driver. The bar-shaped lamp 600 may be a rectangular panel lamp, the light is softer than a fluorescent lamp without a light diffuser, and the spotlight 700 mainly provides vertical illumination of a vertical surface for performance or teaching demonstration in a demonstration area, so that the demonstration effect is enhanced.

The light color sensing unit includes a light color sensing module 310 for detecting general illuminance, i.e., horizontal illuminance, and a light color sensing module 320 for detecting vertical illuminance. Referring to fig. 4b and 5, a photochromic sensing module 320 for detecting vertical illuminance is fixed on the partition 12, and fig. 5 is a front view of fig. 4a as a schematic top view.

Preferably, the light color sensing module 310 may be disposed on the ground to be illuminated, or suspended on the lamp housing of each strip lamp 600 of the lamp set through a bracket. When the device is arranged in a hanging mode, the light color sensing module can adopt a silicon photocell as a sensor, the focusing lens is aligned to the target illuminated surface, reflected light intensity sensing signals of the target illuminated surface are detected, the light color processing module is used for calibrating the intensity of reflected light and the illumination intensity of the target illuminated surface through experiments, and the illumination intensity of a point to be illuminated is detected on line according to the calibration relation.

As shown in FIG. 4b, it is preferred that playbay Z5 employ an open space arrangement, employing the same light source as the active bay, and lavatory Z6 employ a relatively independent lavatory light 800.

Preferably, the bathroom light 800 also adopts a dimmable LED light, and the driver receives the dimming command from the control unit to change the current of the LED string; wherein, the sensing signal of the dimming command is from the human body detecting module 520 installed near the lavatory lamp 800 and subordinate to the human body detecting unit 500.

In the dimming illumination distribution table, each record comprises n paths of LED string driving current values of the dimming lamp group and color temperature and luminance values obtained after test point signals of m light color sensing modules in the light color sensing units are processed by the corresponding light color processing modules.

And under the state without background light, sending dimming signals to the dimmable lamp set in a stepping change mode through the dimming mapping module and the output module, detecting the changed light environment, acquiring the color temperature and the illuminance value at the test point, and continuously repeating until the recorded sample covers the value interval of the driving current of each LED string.

Preferably, the dimming illumination distribution table can be represented by a BP neural network to estimate the light color corresponding to each driving current combination. And the BP neural network in the dimming mapping module receives the color temperature and the illumination value obtained after the test point signals of the m light color sensing modules are processed from the input module respectively, and n paths of LED string driving current parameters which correspond to the color temperature and the illumination value and are sent to the dimmable lamp set. When the dimming mapping module sends dimming signals or other dimming operations to the dimmable lamp group in a stepping change mode, collecting a training sample set formed by combining input and output quantities of the neural network under different light environments; and training the neural network off line by using the training sample set, and adjusting the connection weight of the neural network.

In the multi-objective optimization processing process, n paths of LED string driving current value combinations to be evaluated are transmitted to a trained BP neural network, the current value combinations are mapped into color temperature and illumination values of all test points and output, and the illumination optimization processing module calculates the score values of the test points based on a light color score function.

Preferably, the model of the BP neural network is:

the jth node of the hidden layer outputs

The p-th node of the output layer outputs

Based on the dimmed lighting distribution table, the control unit is configured to:

Wherein, the calculation processing procedure of the total illumination is as follows: firstly, aiming at n-path driving current parameter values of the individual, searching a dimming illumination distribution table to obtain a first color temperature value and a first illumination value of each point of m test points when the dimming illumination distribution table correspondingly combines and individually illuminates, and simultaneously, processing a detection signal of a light color sensing module of each test point to obtain a second color temperature value and a second illumination value of current natural light at the position of the test point; then, based on the conversion relation from color temperature to color coordinate, converting the first and second color temperature values into first and second xyz color coordinates, and simultaneously based on the conversion ratio from the illumination of the light color sensing module to the brightness, converting the first and second illumination values into first and second brightness; converting the first XYZ color coordinate and the first brightness into a first XYZ tristimulus value, converting the second XYZ color coordinate and the second brightness into a second XYZ tristimulus value, and adding X, Y, Z tristimulus values of the first XYZ tristimulus value and the second XYZ tristimulus value respectively to obtain a total XYZ tristimulus value; converting the total XYZ tristimulus values into total XYZ color coordinates, further converting the total XYZ color coordinates into total color temperature, and simultaneously adding the first and second illumination values to obtain total illumination; and finally, calculating the grading value of each factor of the individual according to the total illumination, the total color temperature value, the calculated illumination gradient and the illumination uniformity value and the identified light color grading function of the lighting scene.

Preferably, the found illumination is scaled to luminance to calculate the tristimulus value.

To different functional areas such as the active area, the demonstration area, rest area, drinking water area, toy area, washing area in integrative classroom, under different scenes such as listening to lessons, recreation, manual, demonstration, having dinner and lunch break, the ideal lighting condition is different. For example, for an active area, a higher illumination is required in a manual scene, and other scenes may use a general illumination; in the aspect of color temperature, when the user needs to concentrate on the attention during class listening, medium and high color temperature is selected, and in manual, game and dining scenes, the color temperatures which are sequentially reduced can be selected to create a relaxed atmosphere. For drinking areas, a lower light intensity of medium color temperature may be used. For the toy area, both the illumination and the color temperature are moderate. In the rest area, in order to promote drowsiness or arousal from sleep of the infant, the lamp cannot be turned on directly, and the illumination of natural light in the morning and evening is simulated, so that the illumination and the color temperature are set to be low. For the demonstration area, in order to ensure the demonstration effect, the illumination of the area needs to be improved; moreover, the demonstration area needs more elevation illumination to enhance the recognition function, different from other functional areas.

Therefore, the lighting control device is required to be capable of automatically identifying scenes and adjusting the light color scoring function composition of the test point of the light color sensing module in each functional area according to the scenes.

As shown in connection with fig. 4b, the image acquisition unit 400 includes one or more image acquisition modules 410 suspended below the ceiling of a classroom. Preferably, the camera of the image capturing module 410 may adopt a wide-angle lens, and may also adopt a plurality of cameras to capture images of different target areas respectively.

Sample images under various lighting scenes such as class attending, game playing, manual work, demonstration, dining, lunch break and the like in a classroom are collected, and a training image set is formed by the sample images to train the scene detector.

Preferably, the scene detector may utilize a support vector machine, SVM, of linear kernel functions as a classifier for the different lighting scenes. For various lighting scene classes, a classifier is trained based on features of the target regions, in particular human activity or location features, and current temporal features. And forming a feature vector of the SVM by using the position of the person in each specific area in the image in the classroom, the aggregation state and the feature value of the related sensor data.

The training image set is derived from a segmented image from the wide-angle image or the region image itself acquired for each different target region. The identification of the lighting scene is performed for each sample of the training image set, and the untrained recognition portion is trained on the basis of the training image set.

Referring to fig. 4b, fig. 6a, fig. 6b, fig. 6c, and fig. 6d, specific lighting scene recognition is defined according to the person distribution characteristics and the human activity characteristics of the scene. For example, for a demonstration scenario, the scenario features that a child sits on a chair with orderly arranged active areas, the demonstration area has a teacher or a child doing teaching demonstration or performance, at this time, the image features of the active area sitting on the proportion of the total number of the children can be identified based on the scenario detector, and the demonstration area can detect the activities of one or more people based on the human body detection module 510 besides the image features.

In the lecture scene, as shown in fig. 6a and 6b, the infant sits on the chairs arranged in order, but depending on the learning content, the infant may be subjected to a lecture with a desk as shown in fig. 6a, or may be subjected to a lecture without a desk as shown in fig. 6 b.

For a manual, dining scenario, a sitting feature as shown in fig. 6c will be detected, and under such an image scenario feature, a final determination can be further made according to whether the current time belongs to a dining time period.

For the game scenario, it can be detected that there is a large complete blank area in the activity area similar to that shown in fig. 6d, and the infants are not regularly arranged.

In the noon break scene, the recognition can be performed mainly according to a preset time period and assisted by image detection in the range of the moving area.

Preferably, the feature of the feature vector may be a static image feature at a time point, or a human body movement feature detected in a plurality of continuous images. For example, movement of a presenter in a presentation area in a presentation scene.

Preferably, a part of the sample images of the training image set can be left as a verification set to verify the trained scene detector.

Preferably, the scene detector comprises a plurality of recognition modules, one recognition module of the plurality of recognition modules corresponds to human body detection in a local area of a classroom, each recognition module corresponds to a classifier, for example, a presentation area can be independently detected, and the image characteristics of the area can be used as a main basis for judging the presentation scene.

After a scene detector is trained by a training image set, an image of an integral classroom and sensing data corresponding to the image are obtained, image features and feature values of human body sensing data are extracted, and an illumination scene of the image is determined according to the image features, the feature values of the sensing data and current time features.

On the basis of scene detection, various light color scoring functions are defined according to the diversified requirements of the kindergarten integrated classroom on illumination.

For illumination, as shown in fig. 7a, the scoring function is,

wherein, E is the current illumination, bE and cE are the lower limit and the upper limit of the interval covering the expected illumination value of the people with the set proportion obtained according to statistics in the current scene, and aE and dE are the other two preset lower limits and upper limits in the current scene respectively. Preferably, the set ratio is a value between 0.85 and 0.95.

For illuminance uniformity, as shown in fig. 7b, the scoring function is,

the illuminance uniformity is taken as the ratio of the minimum illuminance to the average illuminance of the illuminated surface of the target in the classroom, and according to the general standard, the value of bU is 0.7 or higher, and the value of aU is between 0.55 and 0.6.

For the illumination gradient, as shown in fig. 7e, the scoring function is,

where D is the current illumination gradient, D is the set reference value, and σ is a preset width value.

Preferably, D is 5-20 Lx/m.

Preferably, D is 15 Lx/m.

For color temperature, when its maximum human expectation value belongs to a medium-high color temperature, as shown in fig. 7c, its score function is,

when the color temperature is most expected by a person to belong to the medium-low color temperature, as shown in fig. 7d, the scoring function is,

wherein, W is the current color temperature, bW and cW are the lower limit value and the upper limit value of the middle and high expected color temperature interval which is obtained according to statistics and covers the number of people with the set proportion under the current scene, aW and dW are the other two preset lower limit values and the upper limit values under the current scene respectively, and hW is the upper limit value of the middle and low expected color temperature interval which is obtained according to statistics and covers the number of people with the set proportion under the current scene; wherein the set ratio is between 0.85 and 0.95.

Preferably, the photochromic scoring function is adjusted based on the current identified scene:

for the presentation area, under the presentation scenario: the color temperature value range corresponding to the maximum score value of the color temperature scoring function is set according to the middle-low expected color temperature range, and the upper limit value of the color temperature value range is limited below 4000K. The illuminance comprises horizontal illuminance and vertical illuminance, a horizontal illuminance value section corresponding to the highest score value of the illuminance scoring function is limited between 500Lx and 750Lx, and the illuminance score value f₂Also multiplied by the score f of the ratio of horizontal to vertical luminance₂₀As shown in reference to figure 7d,

wherein EB is the ratio of the current horizontal illuminance to the vertical illuminance, and aEB, bEB, cEB and dEB are four preset values respectively; preferably, the values of aEB and dEB are 0.5 and 2.0, respectively.

In addition, as more vertical illumination is needed for teaching demonstration, so that the children can clearly recognize body languages such as gestures and actions of teachers, the values of bEB and cEB are smaller in the teaching demonstration than in the performance demonstration. Preferably, during teaching demonstration, the values of bEB and cEB are between 0.85 and 1.1; and during performance demonstration, values of bEB and cEB are between 1.2 and 1.5.

Preferably, the teaching type demonstration has an image characteristic that the human body expansion area in the demonstration area is larger than that of the performance type demonstration.

Preferably, the projection scene of the presentation area may also be added to the scene category, and at this time, the projection cloth 14 may be detected to be pulled down. For the projection scene, the photochromic scoring function is adjusted to gradually increase the upper limit value and the lower limit value of the illumination value interval corresponding to the highest scoring value of the illumination scoring function from the projection cloth to the back row of the classroom.

Preferably, for the active region, the light color score function definition is further adjusted using the following rule:

f′＝f·(1+η)，

η＝α·sim(e，enow)，

wherein alpha is a set coefficient, and e is the ratio of the illumination to be scored to the maximum illumination, namely the relative illumination; enow is the relative illuminance of sunlight at the current time in the weather forecast obtained from the weather forecast server 900, the relative illuminance of sunlight is the ratio of the current sunlight brightness to the midday sunlight brightness, the similarity function sim (,) adopts a normal distribution function or a triangular distribution function with the second parameter as the center, the distribution amplitude is set according to the value range of the first parameter, η is an adjustment coefficient, and f' are the score values before and after adjustment, respectively.

Preferably, when the scheme of the invention is used for illumination automatic optimization control, the illumination switching between different scenes is transited in a stepping mode, such as dining, and the switching between the front scene and the rear scene is completed in a mode that the driving current of each LED string is gradually changed within a set time.

Example 3

The present embodiments provide a kindergarten-integrated classroom-scenario adaptive lighting system. As shown in fig. 1, the kindergarten-integrated classroom scene type adaptive lighting system 2000 includes a user interface unit 200, a light color sensing unit 300, an image acquisition unit 400, a human body detection unit 500, a dimmable light set and a server 900, and a control unit 100 connected to the user interface unit 200, the light color sensing unit 300, the image acquisition unit 400, the human body detection unit 500, the dimmable light set and the server 900.

Wherein, the user interface unit 200 includes a display screen and an operation panel for entering parameters and initiating operations; the light color sensing unit 300 includes a plurality of light color sensing modules, and is used for detecting light color parameters such as illumination, color temperature, etc.; the image acquisition unit 400 is used for acquiring scene images in the integrated classroom; the human body detection unit 500 is used to detect human body information of a preset area in a unified classroom.

The dimmable light set is composed of a bar lamp 600, a spot lamp 700, and the like, each of which includes a plurality of LED lamps, each of which has at least one LED string 620/720 with adjustable color temperature and brightness, and each LED lamp adjusts a driving current of the LED string therein through a driver 610/710. Wherein the spot light 700 is disposed in the presentation area.

The control unit 100 includes an input module 110, a light color processing module 120, an image processing module 130, a lighting optimization processing module 140, a dimming mapping module 150, an output module 160, and a storage module 170. The control unit 100 is configured to perform the following processing:

based on a functional model of a kindergarten integrated classroom, the functional model is divided into 6 functional areas such as an active area, a demonstration area, a rest area, a drinking area, a toy area and a wash area, and a photochromic scoring function of color temperature, illumination intensity gradient and illumination intensity uniformity of the illuminated surface of each functional area in the classroom under different scenes such as lecture listening, game playing, manual work, demonstration, dining, noon break and the like is established in a storage module according to the use characteristics of each functional area;

Preferably, the system further comprises an opening-adjustable curtain, and the control unit further sends an opening-adjusting instruction to the opening-adjustable curtain through the output module, so that the curtain changes the luminous flux of the incident natural light.

Preferably, the control unit obtains the weather forecast through the server, and adjusts the opening of the curtain according to the outdoor brightness based on preset data, so that the area of the activity area adjacent to the window obtains the appropriate illumination.

Preferably, the system further comprises a bathroom lamp 800, a bathroom human body detection module 520 connected to the control unit is arranged near the bathroom lamp 800, and the control unit further sends a dimming instruction to the bathroom lamp according to a sensing signal of the bathroom human body detection module;

preferably, according to the dimming instruction of the control unit, when the bathroom lamp does not detect the human body signal within a set time, the brightness is reduced so that the bathroom illumination is kept at the maintaining illumination; when a human body signal is detected, the brightness is increased to 200-300 Lx.

Preferably, each spotlight further comprises at least one illumination angle adjusting module with an adjustable inclination angle, the inclination angle is adjusted by changing the driving current of the illumination angle adjusting module, and the dimming mapping module changes the inclination angle while changing the driving current of each LED string.

As shown in fig. 1 and 8, preferably, the multi-objective optimization algorithm is processed as follows:

s1, establishing a dimming illumination distribution table of a dimming lamp set in the integrated classroom, establishing a light color grading function of color temperature, illumination gradient and illumination uniformity for the light color sensing test points of each functional subarea in different scenes such as lectures, games, handwork, demonstration, dining, lunch break and the like,

aiming at n drive current values of the dimmable lamp set, an overall evaluation function F is established,

in the formula, k_iTo set weighting coefficients, f_iFor each factor evaluation value, i is 1, 2, 3, 4, and f is_iThe single factor value of the total light-emitting illuminance and the total light-emitting color temperature corresponding to the combination of two light color parameters when the light source set composed of the LED strings of the adjustable light lamp group and the ambient natural light are illuminated by mixed light,

wherein f is₁Is the color temperature score value, f₂Is an illuminance score value, f₃Value of illuminance uniformity scale, f₄Is the value of the illumination gradient score,

s2, initializing parameters such as evolution population scale, crossover probability, variation probability and the like, and determining the value interval and the coding strategy of the N-path driving current parameters of the dimmable light group and the number N of global Pareto optimal solution replacements in each generation of population_rp；

S3, generating an initial population P (0) randomly for the current drive current set to be optimized, wherein k is 0;

s4, let k equal to k + 1; if the end condition is reached, turning to the S11, otherwise, turning to the next step;

s5, decoding all individuals in the group P (k-1) of the current generation to obtain n-path driving current values, searching a dimming illumination distribution table through multi-dimensional interpolation according to the current values to obtain color temperature and illumination values of the artificial light at each test point, then calculating the color temperature and illumination values of the total illumination of the artificial light and the current natural light mixed illumination at each test point according to the color temperature and illumination values, and respectively calculating color temperature scores f according to the identified light color scoring function of the illumination scene and the calculated color temperature and illumination values of each test point₁Illuminance score value f₂And obtaining the illuminance gradient and the illuminance uniformity value of each row of test points along the parallel line of the window by calculation, and further respectively calculating the illuminance uniformity score value f₃Illuminance gradient score value f₄According to each f_iIs toObtaining the Pareto optimal solution set PT of the present generation_kAnd updating the global Pareto optimal solution set PT_g；

S6, if PT_kNumber of individuals in set N (PT)_k) For odd numbers, randomly selecting one individual to add to PT_kCollect the PT in the group of this generation_kCollecting the F value of the overall evaluation function of each individual, and selecting other (N (gp) -N (PT) according to the F value of each individual by roulette method_k) B)/2 pairs of fathers; the obtained parent population is P' (k);

s7, carrying out crossover and mutation operations on the individuals in the P '(k) to generate a population P' (k);

s8, for PT in P' (k)_kThe filial individuals of the set are substituted back by the parents if the value of the overall evaluation function F cannot be better than that of the parents, so that a population P' (k) is obtained;

s9, putting the PT in P' (k) not_kN of collection filial generation_rpRandomly replacing the individuals with global Pareto optimal solution individuals to generate a next generation group P (k);

s10, turning to step S4;

and S11, finishing optimization, selecting a solution with the optimal value of the overall evaluation function F based on the finally obtained Pareto optimal solution set, and storing and outputting the optimal solution.

While the embodiments of the present invention have been described above, these embodiments are presented as examples and do not limit the scope of the invention. These embodiments may be implemented in other various ways, and various omissions, substitutions, combinations, and changes may be made without departing from the spirit of the invention. These embodiments and modifications are included in the scope and gist of the invention, and are also included in the invention described in the claims and the equivalent scope thereof.

Claims

1. Integrative classroom scene formula self-adaptation illumination control device in kindergarten, it includes the control unit, user interface unit, the control unit includes input module, photochromic processing module, image processing module, illumination optimization processing module, the mapping module of adjusting luminance, output module and storage module again, and the control unit is configured to:

based on a functional model of a kindergarten integrated classroom, the functional model is divided into 6 functional areas such as an active area, a demonstration area, a rest area, a drinking area, a toy area, a wash area and the like, and a photochromic scoring function of color temperature, illumination intensity gradient and illumination intensity uniformity of each functional area in the classroom under different scenes such as lecture listening, game playing, manual work, demonstration, dining and lunch break is established in a storage module according to the use characteristics of each functional area;

2. The kindergarten-integrated classroom-scenario adaptive lighting control apparatus of claim 1, wherein,

each record of the dimming illumination distribution table comprises n paths of LED string driving current values of the dimming lamp group and color temperature and illuminance values obtained after the corresponding color processing module processes test point signals of m color sensing modules in the color sensing unit,

the control unit is further configured to:

in the processing process of the multi-objective optimization algorithm, firstly, initialization is carried out, a strategy for encoding n paths of LED string driving current parameters is determined, and respective value intervals are determined; secondly, aiming at each individual in the evolution group in the search space, based on n-path driving current parameter values, searching a dimming illumination distribution table to obtain the color temperature and illumination value of the artificial light corresponding to the individual in each test point, calculating the color temperature and illumination value of the artificial light and the total illumination of the current natural light mixed illumination corresponding to each test point, and respectively calculating the color temperature score value f based on the calculated color temperature and illumination value of each test point according to the identified light color score function of the illumination scene₁Illuminance score value f₂And obtaining the illuminance gradient and the illuminance uniformity value of each row of test points along the parallel line of the window by calculation, and further respectively calculating the illuminance uniformity score value f₃Illuminance gradient score value f₄And carrying out weighted summation on the 4 scoring values to calculate a total scoring value f-k corresponding to the individual₁·f₁+k₂·f₂+k₃·f₃+k₄·f₄Wherein k is_i(i is 1, 2, 3, 4) is a preset weighting coefficient, and inheritance and crossover are carried out according to the total score valueAnd mutation operation, updating the evolution population; and then, repeatedly evolving the population until the optimization is finished, and outputting an optimization result.

3. A kindergarten integrated classroom scene type self-adaptive lighting system comprises a user interface unit, a light color sensing unit, an image acquisition unit, a human body detection unit, a dimmable lamp group and a server, as well as a control unit which is connected with the user interface unit, the light color sensing unit, the image acquisition unit, the human body detection unit, the dimmable lamp group and the server,

the light color sensing unit comprises a plurality of light color sensing modules and is used for detecting the light parameters of the illumination, the color temperature and the light color,

4. The kindergarten-integrated classroom scene adaptive lighting system as recited in claim 3, wherein the dimmable light set includes two LED strings of high color temperature and low color temperature, each LED string corresponding to a driving current channel, the dimming lighting distribution table is a mapping table of two-channel current values (i1, i2) combined to color temperature and illuminance values of each test point,

5. A kindergarten-integrated classroom-contextual adaptive lighting system as described in claim 3,

the curtain also comprises an opening-adjustable curtain, the control unit also sends an opening-adjusting instruction to the opening-adjustable curtain through the output module so that the curtain changes the luminous flux of incident natural light,

each spotlight further comprises at least one irradiation angle adjusting module with adjustable inclination angle, the inclination angle is adjusted by changing the driving current of the irradiation angle adjusting module, the dimming mapping module changes the inclination angle while changing the driving current of each LED string,

each record of the dimming illumination distribution table comprises n drive current parameter values of p paths of LED string drive current values and q paths of inclination angle adjustment drive current values of the dimming lamp group, and color temperature and luminance values obtained after test point signals of m light color sensing modules in the light color sensing units are processed by the corresponding light color processing modules.

6. A kindergarten integrated classroom scene type self-adaptive illumination control method comprises the following steps:

based on a functional model of a kindergarten integrated classroom, the functional model is divided into 6 functional areas such as an active area, a demonstration area, a rest area, a drinking area, a toy area and a wash area, and a photochromic scoring function of color temperature, illumination intensity gradient and illumination intensity uniformity of each functional area in the classroom when the functional area is illuminated under different scenes such as lecture listening, game playing, manual work, demonstration, dining and lunch break is established according to the use characteristics of each functional area, wherein the photochromic scoring function is used as a photochromic scoring model;

firstly, determining a strategy for coding and decoding the driving current parameters of each LED string, determining respective value intervals of the driving current parameters,

determining parameters of population scale, cross probability and variation probability in optimization calculation;

s5, randomly generating an initial population;

s6, aiming at each body in the evolutionary group in the search space, decoding to obtain n paths of LED string driving current parameters, searching a dimming illumination distribution model through multi-dimensional interpolation according to the current parameters to obtain the color temperature and illumination value of the artificial light corresponding to each test point, calculating the color temperature and illumination value of the total illumination of the artificial light and the current natural light mixed illumination corresponding to each test point, and respectively calculating the color temperature score f and the illumination value of each test point according to the identified light color score function of the illumination scene and the calculated color temperature and illumination value of each test point₁Illuminance score value f₂And obtaining the illuminance gradient and the illuminance uniformity value of each row of test points along the parallel line of the window by calculation, and further respectively calculating the illuminance uniformity score value f₃Illuminance gradient score value f₄Weighting and summing the 4 scoring values to calculate a total scoring value f corresponding to the individual,

7. The kindergarten-integrated classroom-contextual adaptive lighting control method as recited in claim 6,

the calculation processing process of the total illumination comprises the following steps:

firstly, aiming at n-path driving current parameter values of the individual, searching a dimming illumination distribution model to obtain a first color temperature value and a first illumination value of each point of m test points when the dimming illumination distribution model correspondingly combines and individually illuminates, and simultaneously, processing a detection signal of a light color sensing module of each test point to obtain a second color temperature value and a second illumination value of current natural light at the position of the test point; then, based on the conversion relation from color temperature to color coordinate, converting the first and second color temperature values into first and second xyz color coordinates, and simultaneously based on the conversion ratio from the illumination of the light color sensing module to the brightness, converting the first and second illumination values into first and second brightness; converting the first XYZ color coordinate and the first brightness into a first XYZ tristimulus value, converting the second XYZ color coordinate and the second brightness into a second XYZ tristimulus value, and adding X, Y, Z tristimulus values of the first XYZ tristimulus value and the second XYZ tristimulus value respectively to obtain a total XYZ tristimulus value; converting the total XYZ tristimulus values into total XYZ color coordinates, further converting the total XYZ color coordinates into total color temperature, and simultaneously adding the first and second illumination values to obtain total illumination; and finally, calculating the grading value of each factor of the individual according to the total illumination, the total color temperature value, the calculated illumination gradient and the illumination uniformity value and the identified light color grading function of the lighting scene.

8. The kindergarten-integrated classroom contextual adaptive lighting control method as recited in claim 6, wherein the light color scoring function is defined as follows:

for illumination, the scoring function is,

for uniformity of illumination, the scoring function is,

for the illumination gradient, the scoring function is,

9. The kindergarten-integrated classroom contextual adaptive lighting control method as recited in claim 8, wherein the light color scoring function definition further employs the following rules:

10. The kindergarten-integrated classroom contextual adaptive lighting control method as recited in claim 8, wherein the light color scoring function definition further employs the following rules:

for the active area:

f′＝f·(1+η)，

η＝α·sim(e，enow)，