CN110035578B

CN110035578B - Open type office lighting system based on mixed lighting

Info

Publication number: CN110035578B
Application number: CN201910282760.9A
Authority: CN
Inventors: 邹细勇; 夏浩; 张维特; 杨凯; 黄昌清
Original assignee: China Jiliang University
Current assignee: Zhejiang Zhiduo Network Technology Co ltd
Priority date: 2018-12-29
Filing date: 2019-04-05
Publication date: 2021-03-23
Anticipated expiration: 2039-04-05
Also published as: CN110035578A

Abstract

The invention provides an open type office illumination system based on mixed illumination and a control method. Establishing an evaluation standard such as a dimming illumination distribution model and a light color grading model and a user registry offline; when the preset conditions are met in online control, when illumination optimization is carried out according to the current natural light conditions and evaluation standards, firstly, the parameters of the dimmable ceiling lamp are optimized based on indexes such as energy consumption, passageway illumination, illumination uniformity and gradient, then the parameters of the dimmable desk lamp are optimized based on the grade of an on-site user of the office and the energy consumption index, and the optimization result is sent to the driver to adjust the light emitting of the lamp group, so that the comprehensive optimized illumination of the open type office is realized. The invention can give consideration to the comfort of the whole space while considering the lighting preference of the user, and can dynamically adjust the illumination according to the sunlight to create a comfortable, energy-saving and personalized lighting environment for the office.

Description

Open type office lighting system based on mixed lighting

Technical Field

The invention belongs to the field of intelligent illumination, and particularly relates to an open type office illumination system based on hybrid illumination and a control method.

Background

In an office building, the efficiency and success of employees depends largely on communication. Most activities performed in an open office include tasks that require computer processing. For computer workplaces, it must be ensured that the pressure of the eye switching back and forth between screen, working material and ambient environment is kept to a minimum and the need for aggressive contrast adjustment and adaptation should be avoided. Therefore, it is important to avoid direct and reflected glare of light in open offices. Reflective glare is caused by the reflection of bright surfaces, such as windows or light fixtures, on the screen, and therefore these offices should optimize the placement of the office relative to the windows and be shielded by curtains or blinds to avoid glare.

In open offices, good lighting is required for employees in addition to the basic requirement of anti-glare. Good office lighting will directly affect the work efficiency of the staff.

The lighting of offices generally has two kinds of illumination light and natural light, and the sunlight also can change constantly along with the change of time in one day, therefore, the natural light from the outside is very different. Modern open offices often have long rows of windows, considerable room depth, natural light is not sufficient for most office positions inside the office, and many areas must be provided with light primarily by artificial lighting.

With the development of electrical technology and electric light source technology, the indoor working environment is more and more separated from the use of natural light. This trend towards artificial light source illumination has led us to deviate from the natural biological clock which is already available per se in 24-hour periods, and because this phenomenon has been deeply integrated into our daily lives, we have forgotten the previous daily life cycle pattern. Office staff exposed to natural light for a long time in a day may inhibit melatonin secretion and change circadian rhythm, and may seriously affect the transmission of information of the nervous system of the body. Therefore, in many office buildings adopting the energy-saving lighting system, the illumination level of the office buildings cannot provide enough stimulation to the circadian system, and people can easily feel tired, fidgety and depressed. In winter months, people have fewer chances of being exposed to sunlight and are easy to cause seasonal emotional agitation.

Vision is the most important of all five senses, so it is particularly important to ensure adequate and reasonable illumination of the workplace. In modern working space, not only a proper amount of light suitable for workplace tasks is needed, but also a series of lighting stimuli according to the sunshine law and the human rhythm characteristics are needed. In general offices, more than seven people sit in front of a computer for more than 6 hours every day, and the most common physical discomfort symptom is eye fatigue.

In the conventional constant-brightness illumination control mode, if the set target brightness is insufficient and sufficient illumination cannot be provided, visual fatigue and even myopia are easily caused. Furthermore, the fatigue degree is also related to the color temperature of the lamp light. A lighting device with a low color temperature is easy to feel tired. Many people have this experience: when reading, the user uses a warm yellow desk lamp to feel drowsy. In fact, the closer the light is to the natural light, the better, so the artificial lighting and the natural lighting are combined to form a comfortable lighting environment. In the aspect of illumination change, compared with the unchanged illumination, the dynamically changed light color environment better meets the requirements of human body rhythm, and the user experience can be improved.

The closer the lighting environment light is to the natural light, the better, the artificial lighting and natural lighting are combined to form comfortable lighting environment and atmosphere. The atmosphere creation also depends on the matching of color temperature and illumination. The daylight becomes brighter from morning to noon while the color temperature also changes gradually from a warmer color of a lower color temperature to a cooler color of a higher color temperature, and vice versa after noon. For color temperature, the higher the color temperature value is, the more the light is biased to blue, and a cold and quiet atmosphere can be created; the lower the color temperature, the more yellowish red color near candlelight, and the more relaxed mood. The high color temperature creates a clean, clear, lively and slightly tense atmosphere, while the warm color light of the low color temperature and the illumination with soft light can promote a relaxed atmosphere, and can form a quiet, comfortable, clean, warm and comfortable living atmosphere. According to statistics and research, if the color temperature and the illumination are not reasonably matched, the comfortable atmosphere can be damaged, and if the illumination is too high, a person feels sultry under low color temperature; at higher color temperatures, however, a person may feel cool if the illumination is too low. For this reason, in the optimization of lighting, a reasonable matching of color temperature and illuminance in the overall lighting environment of the office should be considered.

Currently, many automatically controlled lighting solutions have emerged for traditional on-off office lighting. Among the existing office lighting schemes, there are schemes using dynamic dimming, such as two chinese patent applications with patent numbers 2016110932459 and 2016110932321, which adjust the lighting color by changing the color temperature during work, especially by supplementing high color temperature illumination. In the application of the Chinese invention patent with the patent number of 2015104652846, when a person is in an office, the brightness of the light in the area is adjusted, so that the energy-saving effect is improved; the chinese patent application with patent number 2016106488075 further intelligently adjusts the lighting system of the office according to the leaving or entering of different people. The chinese patent application with patent number 2016107876858 adjusts the circadian rhythm and emotion of human body through several preset optical parameters to improve the working efficiency.

These control schemes are mainly preset for several different time periods or different lighting distributions, and program-controlled means are employed to change office lighting conditions several times according to preset conditions on a scheduled basis. But office illumination is a complex system, and mainly aims at supplementary lighting illumination of staff in the daytime of the office and night illumination; the lighting feeling is closely related to the psychological and physiological activities of people, and the expectations of different individuals on lighting are obviously different; moreover, ambient light is also constantly changing over time, and the traditional control means of dimming according to a limited number of modes cannot meet the personalized lighting requirements of office workers. Therefore, an intelligent lighting system comprehensively considering the ambient light conditions, the personalized demands of employees in different office spaces and the energy-saving and environment-friendly indexes is needed.

Disclosure of Invention

The open-type office has more personnel, the structural change is larger, the ceiling area is larger, the visual monotony is easily caused, and meanwhile, generally, the space depth is larger, the sunlight can irradiate less places, and the desire of the personnel on the sunlight is obvious. The preference of each employee for lighting ambient light color also varies widely, depending on age, experience. The problem to be solved by the invention is how to fully utilize natural light, solve visual monotony, simulate artificial sunlight, improve the lighting color of a desktop and respond to diversified individual requirements of office workers.

The invention aims to provide an open type office lighting system and a method based on mixed lighting, wherein in an off-line state, a dimming lighting distribution table of a mixed lighting lamp group consisting of a dimmable top lamp and a dimmable desk lamp in an office and a light intensity mapping table between internal and external illumination of a window are established, and a light color grading table is established for each user after office users are registered; during online control, the light color parameters of the current natural light are detected, evaluation factors such as user rating, energy saving, illuminance gradient, illuminance uniformity and the like are calculated for the electric parameter combination of the dimmable lamp set to be evaluated on the basis of the dimming illumination distribution table and the light color rating table, the drive currents of the dimmable dome lamp and the dimmable desk lamp are optimized in two stages through a multi-objective optimization algorithm, the optimization result is sent to the driver to adjust the light emission of the dome lamp, and comprehensive optimized illumination of an office is achieved.

One of the technical solutions of the present invention is to provide an open type office lighting system based on hybrid lighting, which comprises a user interface unit, a light color sensing unit, a position identification unit, a user identification unit, a dimmable light set, a server, and a control unit connected to the user interface unit, the light color sensing unit, the position identification unit, the user identification unit, the dimmable light set, and the server,

the user interface unit comprises a master switch, a display screen and an operation panel, is used for entering parameters and initiating operation,

the light color sensing unit comprises two fixed light color detection modules respectively positioned at the inner side and the outer side of the window and an indoor light color detection module corresponding to office positions and passageways, the light color detection modules are used for detecting light color parameters such as light intensity and color temperature of natural light and illumination intensity, color temperature and the like of each illumination test point,

the location identification unit is used for detecting the presence information of the open office user,

the user identification unit is used for identifying the open office user,

the dimmable lamp set comprises a plurality of dimmable dome lamps and dimmable desk lamps corresponding to the number of office users, the dome lamps and the desk lamps both adopt LED strings as light sources, and each LED string has the characteristics of adjustable light property and adjustable brightness in at least one of color temperature and color,

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

the input module respectively obtains color temperature and illumination signals of a plurality of illumination test points of an open office and a person on-position signal of each office position from a photochromic sensing unit and a position identification unit of the system,

based on the detection signals of the test points, the photochromic processing module calculates and obtains the illumination gradient value and the illumination uniformity value of each preset area of the office,

in an off-line state, the registration of office users is received through a user interface unit and a user identity identification unit, and a user registration table is stored in a storage module and comprises a user identification number, user identity identification characteristics and an office position number; in a pure natural light environment, a light intensity mapping table is obtained and stored in a storage module by calibrating sensing signals of the fixed light color detection module at the outer side of the window and the indoor light color detection module under different curtain opening degrees,

for each registered user, inputting a light color scoring table through the user interface unit and storing the light color scoring table in the storage module, wherein each record of the light color scoring table comprises office time period, color temperature, illumination and scoring value,

under the environment without natural light, the dimming module obtains the dimming illumination distribution table of each LED string by changing the driving current value of each LED string of the dimmable ceiling lamp and the dimmable desk lamp in an office and recording the color temperature value and the illuminance value of each illumination test point when each corresponding LED string is combined to illuminate, and stores the light color grading table in the storage module,

according to the lighting characteristics of the passageway, defining grading functions of passageway illumination, illumination uniformity and illumination gradient and storing the grading functions in a storage module,

during on-line control, the processing module acquires the light color parameters of the current natural light at each test point based on the curtain opening and the detection signal of the fixed light color detection module at the outer side of the window, and based on the dimming illumination distribution table and the light color grading table of each office user through a multi-objective optimization algorithm according to the current time and the user on-site information detected by the position identification unit,

the first stage, based on the corridor illuminance scoring function, aiming at office positions where all users are not in place and share the same corridor with the users in place, setting the expected illuminance interval of the first class of corridor illumination test points on the corridor adjacent to the office positions, namely the illuminance interval with the highest score, as 1/3-1/2 of recommended illuminance of an office desktop, and optimizing each LED string driving current combination of the dimmable dome lamp based on 4 scoring indexes such as the illuminance of the first class of corridor illumination test points, the power consumption of the dimmable dome lamp, the illuminance uniformity of all the corridors and the illuminance gradient among all the corridors, wherein the scoring of each LED string driving current combination in the optimizing process is based on the total illuminance of the corresponding emergent light of the driving current LED string driving current combination and the current natural light mixed light illumination,

in the second stage, after the light emitting and natural light of the optimized adjustable light top lamp are deducted for all the on-site users in the office, the LED string driving current combination of each adjustable light desk lamp is optimized based on 2 scoring indexes of the total user scores and the power consumption of the adjustable light desk lamps of all the on-site users,

and the lighting optimization processing module transmits the optimization result to the driver of the corresponding LED string through the dimming module and the output module to execute dimming control.

Preferably, each record of the dimming illumination distribution table comprises n paths of LED string driving current values of the dimmable lamp set, and color temperature and illuminance values obtained by processing m illumination test point sensing signals sampled by the light color sensing unit through the light color processing module, wherein the dimmable lamp set comprises n paths of LED strings including p paths of dimmable dome lamps and q paths of dimmable desk lamps,

the control unit is further configured to:

sending a dimming signal to the dimmable lamp set in a stepping change mode through the dimming 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 sample covers the value interval of the driving current of each LED string;

in the first stage 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, enabling the q-path LED string driving current of the dimmable desk lamp to be zero, searching a dimming illumination distribution table to obtain the color temperature and illumination value of artificial light corresponding to each test point for each individual in an evolution group in a dimmable ceiling lamp search space based on the p-path driving current parameter values, 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 illumination test point of a first type of aisle, calculating the user total score f corresponding to the individual based on an aisle illumination score function according to the calculated illumination value of the first type of aisle illumination test point₁(ii) a Then, an energy-saving score value f is calculated according to the power consumption of the dimmable dome lamp₂And obtaining the illuminance uniformity of each row of aisle test points parallel to the window and the illuminance gradient value between each row of aisles through calculation, and further calculating the illuminance uniformity score f according to the set score function₃Illuminance gradient score value f₄And carrying out weighted summation on the 4 scoring values to calculate the 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) isPerforming inheritance, crossover and variation operations according to the total score value by using a preset weighting coefficient, and updating an evolved population; and then, repeatedly evolving the population until the optimization is finished, and outputting an optimization result.

Preferably, in the second stage of the optimization algorithm, the optimized dimmable dome light and the natural light are subtracted as follows:

firstly, aiming at q-path driving current parameter values of the individual and n-path driving currents of the optimized p-path dimmable ceiling lamp LED string,

searching a dimming illumination distribution table to obtain a first color temperature value and a first illumination value of each point corresponding to the test point of the on-site user when the corresponding combination of the dimming illumination distribution table singly emits light; obtaining a second color temperature value of the current natural light through a detection signal of a fixed light color detection module at the outer side of the window, and obtaining a second illumination value corresponding to the current natural light at each test point position by searching a light intensity mapping table based on the opening degree of the curtain; 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 preset illumination to 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; finally, searching all the light color scoring tables corresponding to the users corresponding to the test points of the on-site users according to the total illumination, the total color temperature and the current time period to obtain the independent scores of all the on-site users, and summing the independent scores to obtain the total user scoring value f corresponding to the individual user₁(ii) a Then, an energy saving score f is calculated based on the power consumption₂And carrying out weighted summation on the 2 scoring values to calculate the total scoring value f ═ k corresponding to the individual₁·f₁+k₂·f₂Which isMiddle k_i(i is 1, 2) is a preset weighting coefficient, and the inheritance, intersection and variation operations are carried out according to the overall 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 fixed photochromic detection module comprises a photochromic sensor, the photochromic sensor is accommodated in a spherical crown-shaped light-taking ball with a reflective coating on the inner side, the light-taking ball is connected on the fixed seat through a support, the top of the light-taking ball is provided with a plurality of small holes for light taking, a connecting piece is further arranged near the joint of the light-taking ball and the support, the outer side end of the connecting piece is provided with a rotating shaft for rotating a dust cover, the dust cover is attached to the outer wall of the light-taking ball when closed,

the indoor light color detection module adopts a movable light color detection module suspended on a ceiling above an office position, the movable light color detection module comprises a light color sensor, the light color sensor is accommodated in a cylindrical light-taking straight barrel, the light-taking straight barrel is connected to the base through a second rotating shaft, a connecting rod and a first rotating shaft in sequence, the first rotating shaft and the second rotating shaft respectively rotate and move in two orthogonal rolling directions and pitching directions,

the control unit is further configured to:

setting an illumination test point at intervals of office aisles and on each office position, controlling the rotation of a first rotating shaft and a second rotating shaft in a mobile light color detection module to make light-taking straight cylinders thereof align with the preset illumination test points in sequence, processing the sensing signals of the light color sensors and the light color processing module to obtain the color temperature and the illumination value of each office position and the aisle illumination test point,

the rotation angles of the first rotating shaft and the second rotating shaft are changed for multiple times through teaching, and the rotation angles of the first rotating shaft and the second rotating shaft are recorded when the light-taking straight cylinder is aligned to each preset illumination test point.

Preferably, the system also comprises a curtain opening degree detection unit connected with the control unit, the control unit processes and obtains the curtain opening degree based on the sensing signal of the curtain opening degree detection unit,

the curtain opening degree detection unit comprises a curtain opening degree sensor linked with the curtain rotation module,

in a pure natural light environment, acquiring the opening degree of the curtain based on the curtain opening degree detection unit, changing the opening degree of the curtain in an off-line state, acquiring outdoor light intensity through the fixed light color detection module on the outer side of the window under each curtain opening degree, acquiring illumination values of each illumination test point corresponding to the outdoor light intensity through the indoor light color detection module, and recording the outdoor light intensity and the illumination values of each illumination test point in a light intensity mapping table;

and when the curtain opening degree detection unit is absent, the curtain opening degree is obtained by the following processes:

in an off-line state, under different curtain opening degrees, the light intensity inside and outside the window is respectively obtained through the fixed light color detection modules inside and outside the window, corresponding light intensity inside the window, light intensity outside the window and the curtain opening degree are recorded by using a window inside and outside light intensity mapping table,

and in an online state, respectively acquiring the light intensity inside and outside the window based on the fixed light color detection modules inside and outside the window, and acquiring the opening degree of the curtain by searching the light intensity mapping tables inside and outside the window.

Preferably, the curtain adopts a roller shutter, the curtain rotating module is a rotating shaft, and the curtain opening sensor is an encoder.

Preferably, the curtain adopts a louver blade, the curtain rotating module is a rotating rod, and the curtain opening sensor is an angle sensor.

The technical scheme of the invention also provides an open office illumination control method based on mixed illumination, which comprises the following steps:

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

the light-adjustable lamp set arranged in an office comprises a plurality of light-adjustable top lamps and light-adjustable desk lamps, wherein the light-adjustable top lamps all adopt LED lamps, the number of the light-adjustable desk lamps corresponds to the number of users in the office, each LED lamp is provided with at least one LED string with adjustable color temperature and brightness,

the dimming illumination distribution model comprises a dimming illumination distribution table of a dimming lamp group and a light intensity mapping table from light intensity outside a window to illumination of m illumination test points in an office, wherein the dimming illumination distribution table is a corresponding relation from all n paths of LED string driving current values of the dimming lamp group to color temperature values and illumination values at each illumination test point in the office, the test points are distributed in office positions and passageways and are detected by a light color sensing unit,

the light color grading model comprises a light color grading function and a light color grading table of each office user, wherein each record of the light color grading table comprises an office time period, a color temperature, an illumination and a grading value, the light color grading function comprises a corridor illumination uniformity grading function, a corridor illumination gradient grading function and a corridor illumination grading function,

the user registry comprises a user identification number, a user identity identification characteristic and an office position number;

s2, under the environment without natural light, sending dimming signals to each LED string of the dimmable dome lamp and the dimmable desk lamp in a step-by-step changing mode through the dimming module and 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 color temperature and illumination values at each test point, recording and storing the current, the color temperature and the illumination values in a dimming lighting distribution table,

meanwhile, under different lighting conditions, the office user scores the lighting conditions and records the lighting conditions in the light color scoring table of the user,

in a pure natural light environment, under the opening degree of each curtain, outdoor light intensity and illuminance values of each indoor illumination test point are obtained through a fixed light color detection module at the outer side of a window in a light color sensing unit and an indoor light color detection module respectively and are recorded in a light intensity mapping table;

s3, setting the dimmable lamp group to comprise n paths of p paths of dimmable ceiling lamps and n paths of q paths of dimmable desk lamps, determining strategies for coding and decoding driving current parameters of all the LED strings in a multi-objective optimization algorithm, determining respective value intervals of the strategies, and determining parameters such as population scale, cross probability, variation probability and the like in optimization calculation;

s4, in the on-line control state, when the preset condition is satisfied, optimizing the current parameter of each LED string by adopting a multi-objective optimization algorithm,

firstly, acquiring a light color parameter of current natural light based on a curtain opening and a detection signal of a fixed light color detection module outside a window, acquiring current time, and detecting a current on-site user through a position identification unit;

then, optimization processing is carried out, in the first stage, the current parameter set to be optimized is p-path LED string driving current combination of the dimmable dome lamp, meanwhile, q-path LED string driving current of the dimmable table lamp is set to be zero,

s5, randomly generating an initial population;

s6, aiming at each individual body in the evolutionary group in the search space, decoding to obtain each path of LED string driving current parameter, combining the parameters with the existing set value of each LED string driving current of another adjustable light lamp to form n paths of LED string driving current parameter sets,

searching a dimming illumination distribution table through multi-dimensional interpolation according to the combined current parameter set to obtain light color parameters such as color temperature, illumination value and the like of corresponding artificial light at each test point, then respectively calculating each factor score value of each individual according to the total illumination of the mixed illumination of the artificial light and the current natural light based on the dimming illumination distribution model, the light color score model and the current time period, and carrying out weighted summation on the plurality of score values to calculate the total score value f corresponding to the individual,

for the first-stage optimization, aiming at office positions where all users are not in place and share the same aisle with the users in place in the aisle illumination scoring function, setting expected illumination intervals, namely illumination intervals with the highest scores, of first-class aisle illumination test points on the aisles adjacent to the office positions as 1/3-1/2 of recommended illumination of office desktops, and calculating the total user score f corresponding to the individual based on the aisle illumination scoring function according to the illumination values of the first-class aisle illumination test points₁(ii) a Then, according toEnergy-saving score value f calculated by power consumption of dimming ceiling lamp₂And obtaining the illuminance uniformity of each row of aisle test points parallel to the window and the illuminance gradient value between each row of aisles through calculation, and further calculating the illuminance uniformity score f according to the set score function₃Illuminance gradient score value f₄，

And for the second-stage optimization, aiming at all on-position users in the office, searching all the light color scoring tables corresponding to the users corresponding to the on-position user testing points to obtain the independent scores of all the on-position users, and summing the independent scores to obtain the total user scoring value f corresponding to the individual₁(ii) a Then, an energy-saving score value f is calculated according to the power consumption of the adjustable light desk lamp₂；

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, outputting an optimal solution, and turning to S10 if the second-stage optimization is finished;

s9, in the second stage, enabling the current parameter set to be optimized to be q paths of LED string driving currents of the dimmable desk lamp, meanwhile, setting p paths of LED string driving currents of the dimmable top lamp to be the searched optimal solution, and turning to the step S5;

and S10, the lighting optimization processing module transmits the optimization result to the driver of each corresponding LED string through the output module, and the driver adjusts the light by changing the driving current of the LED string.

Preferably, the process of calculating the total illumination in step S6 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 individual is correspondingly combined to emit light independently; obtaining a second color temperature value of the current natural light through a detection signal of a fixed light color detection module at the outer side of the window, and obtaining a second illumination value corresponding to the current natural light at each test point position by searching a light intensity mapping table based on the opening degree of the curtain; 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 preset illumination to 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 scoring value of each factor of the individual according to the total illumination and the total color temperature value.

Preferably, the aisle illumination score function is,

wherein e is the current illumination, be and ce are the lower limit value and the upper limit value of the ideal passageway expected illumination interval which is obtained according to statistics and covers the number of people with the set proportion, ae and de are the other two preset lower limit values and the other two preset upper limit values respectively;

the illuminance uniformity score function is as follows,

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;

the illumination gradient scoring function is such that,

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

Preferably, the step S2 further includes:

in an off-line state, the control unit receives the registration of office users through the user interface unit and the user identity identification unit and stores a user registration table in the storage module,

and the control unit also uploads the data in the storage module to an external cloud server through network connection, and when a user changes an office, the light color scoring table is automatically read into the storage module of the control unit of a new office through the user identity identification unit.

Preferably, in the processing process of the multi-objective optimization algorithm, if the current time is within the range from 7 am to 6 pm, the independent scoring values of the present users are further adjusted according to the similarity between the parameter of the color to be scored and the current daylight color:

f₁₀′＝f₁₀·(1+η)，

η＝α·sim(K，Know)+(1-α)·sim(L，Lnow)，

wherein, alpha is a set coefficient, K, L is two values of the color temperature value and the ratio of the illumination of the total illumination to be scored to the preset maximum illumination, Know and Lnow are the color temperature and the relative brightness of the current sunlight respectively, the relative brightness is the ratio of the brightness of the current sunlight to the brightness of the midday sunlight, 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, eta is an adjustment coefficient, f₁₀And f₁₀' the values of scores before and after adjustment, respectively.

Preferably, the position recognition unit is configured to detect whether the user is at a desk position and continuously detect the user and obtain the continuous working time of the user by accumulation, and the control unit is further configured to:

in the multi-objective optimization processing process, for each user in an office, calculating the light color grading values of different light color parameter conditions according to a light color grading table, and then adjusting the independent grading values of each on-site user according to the continuous working time length t and the color temperature value K:

f₁₀′＝f₁₀·η，

where t is given in minutes, K is the color temperature of the light to be evaluated, K_SFor a set intermediate color temperature value, eta is an adjustment coefficient, f₁₀And f₁₀' the values of scores before and after adjustment, respectively.

Preferably, the step S2 includes: in a pure natural light environment, the curtain opening degree is obtained based on the curtain opening degree detection unit,

the step S4 includes: the method comprises the steps that natural light intensity is detected through a fixed light color detection module on the outer side of a window, optimization is conducted again when light intensity change exceeds a set threshold value, the threshold value is taken between 3% and 15%, and the threshold value corresponding to cloudy days is smaller than that of sunny days.

Preferably, a plurality of illumination test points are arranged on the ceiling of an office at intervals in an approximately uniform distribution manner, corresponding fields are expanded in a dimming illumination distribution table, in an off-line state, the illumination test points on the ceiling are together with the test points corresponding to office positions and passageways, under various drive current combinations of the dimmable lamp sets, the illumination parameters of the test points are recorded in the dimming illumination distribution table,

in the second stage of optimization, the total user score value f1 is further multiplied by an illumination coefficient eta₁And a color temperature and illuminance correlation coefficient eta₂，

Wherein E is the illumination of the ceiling center of the office area covering the current set proportion of the number of users, W is the corresponding color temperature, aE is the upper limit value of the interval of the illumination value covering the number of people with the set proportion and the rating of satisfaction obtained according to statistics, EW1 and EW2 are two illumination limit functions corresponding to the current color temperature W, and

EW1＝972.2/[1+(W/5413.8)-3.7]-4.2，

EW2＝0.0565·e^0.003W，

EW0 and EW3 are the other two predetermined lower and upper limits, respectively.

Preferably, the dimmable dome lamp 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 ceiling lamp adjusts the driving current value of each LED string in the ceiling lamp 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, each preset parameter is adjusted according to a time period, and when parameter optimization is carried out on the time period by using a multi-objective optimization algorithm, the grade value of each factor is calculated according to the adjusted preset parameter.

Preferably, the time period includes day, night, weekend, lunch, start of work, close to off duty, tea break, etc.

Preferably, each preset parameter is adjusted according to a scene mode, the scene is switched on a user interface unit, and when parameter optimization is performed by using a multi-objective optimization algorithm in the scene mode, the grade value of each factor is calculated according to the adjusted preset parameter.

Preferably, the user interface unit includes a control panel or a remote controller.

Preferably, the scene modes include work, pause, work, cleaning, safety, discussion, and the like.

Compared with the prior art, the scheme of the invention has the following advantages: aiming at the characteristics of more personnel and diversified illumination requirements of an open office, the invention evaluates various combinations of LED string driving currents in the lamp groups by establishing a dimming illumination distribution table of light-emitting LED strings in a dimmable lamp group in the office, a light color grading table for evaluating various color temperature and illumination combinations of an office desktop in different time periods by each user, thereby respectively searching out driving current optimized combinations comprehensively considering all indexes such as grading, power consumption, passageway integral illumination distribution and the like of on-site users under the condition of changing natural light by a multi-objective optimization algorithm in two stages, and realizing dynamic and on-demand optimized illumination of the office. In addition, the invention can dynamically adjust the light emitting of the lamp group according to the office duration and the sunlight change, thereby creating a natural and comfortable illumination environment for offices.

It should be understood that all combinations of the foregoing concepts, as well as additional concepts discussed in greater detail below (provided such concepts are not mutually inconsistent), are contemplated as being part of the inventive subject matter disclosed herein. In particular, all combinations of claimed subject matter appearing in the presently disclosed aspects can be contemplated as being part of the inventive subject matter disclosed herein.

Drawings

FIG. 1 is a flowchart of a method for controlling open office lighting based on hybrid lighting;

FIG. 2 is a block diagram of the components of an open office lighting system based on hybrid lighting;

FIG. 3 is a block diagram of the components of the control unit;

FIG. 4 is a schematic diagram of an open office lighting parameter transformation based on hybrid lighting;

FIG. 5a is a schematic diagram of an open office environment based on hybrid lighting;

FIG. 5b is a schematic diagram of the distribution of light sets and detection points in an open office based on hybrid lighting;

FIG. 6 is a schematic structural diagram of a light color detection module;

fig. 7a and 7b are schematic structural views of a window illuminance detection module;

FIG. 8a is a schematic view illustrating the detection of the opening degree of the roller shutter; FIG. 8b is a schematic view illustrating the detection of the opening degree of the blind;

FIG. 9a is a schematic view of an illuminance coefficient function; FIG. 9b is a graph showing an illuminance uniformity score function; FIG. 9c is a graph showing an illuminance gradient scoring function; FIG. 9d is a diagram illustrating a color temperature and luminance correlation coefficient function; FIG. 9e is a diagram illustrating a color temperature and luminance correlation function; FIG. 9f is a graph showing an illuminance scoring function;

fig. 10 is a flow chart of open office lighting optimization.

Wherein:

100 an open office lighting control method based on mixed lighting, 110 a light color sensing unit, 120 a position identification unit, 130 a user identity identification unit, 140 a user interface unit, 150 a control unit, 160 a server, 170 a light adjustable ceiling lamp, 180 a light adjustable desk lamp, 190 a curtain opening degree detection unit,

111. 112 fixed light color detection module, 113 mobile light color detection module,

121 a human body detection module for detecting a human body,

151 input module, 152 light color processing module, 153 lighting optimization processing module, 154 dimming module, 155 storage module, 156 output module,

171. 181 driver, 172/182 LED string,

11 windows, 12 curtains, 13 doors, 14 desks, 15 seats, 16 partitions, 17 aisles,

21 fixed seat, 22 support, 23 connecting piece, 24 photochromic sensor, 25 light-taking ball, 26 small hole, 27 dustproof cover, 28 rotating shaft,

31 a base, 32 a first rotating shaft, 33 a connecting rod, 34 a second rotating shaft, 35 a photochromic sensor, 36 a light-taking straight cylinder,

41 roller blinds, 42 roller shutter shafts, 43 encoders, 44 slats, 45 straight cylinders, 46 angle sensors and 47 rotating rods.

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.

Example 1

Referring to fig. 1 and 2, the method for controlling open office lighting based on hybrid lighting according to the present invention includes the following steps:

s5, randomly generating an initial population;

for the first-stage optimization, aiming at office positions where all users are not in place and share the same aisle with the users in place in the aisle illumination scoring function, setting expected illumination intervals, namely illumination intervals with the highest scores, of first-class aisle illumination test points on the aisles adjacent to the office positions as 1/3-1/2 of recommended illumination of office desktops, and calculating the total user score f corresponding to the individual based on the aisle illumination scoring function according to the illumination values of the first-class aisle illumination test points₁(ii) a Then, an energy-saving score value f is calculated according to the power consumption of the dimmable dome lamp₂And obtaining the illuminance uniformity of each row of aisle test points parallel to the window and the illuminance gradient value between each row of aisles through calculation, and further calculating the illuminance uniformity score f according to the set score function₃Illuminance gradient score value f₄，

As shown in fig. 2 and 3, the hybrid lighting-based open office lighting system 100 using the method of the present invention includes a user interface unit 140, a light color sensing unit 110, a location identification unit 120, a user identity identification unit 130, a dimmable light set and a server 160, and a control unit 150 connected to the above units. The control unit 150, in turn, includes an input module 151, a light color processing module 152, a lighting optimization processing module 153, a dimming module 154, an output module 156, and a storage module 155.

Because the open-type office is very deep in depth, and the structure is complicated, for the work that needs higher illuminance such as design, the dome lamp that only uses global illumination can't satisfy the work needs, consequently, in a lot of offices including design work, often adopt the mixed lighting mode that global illumination and local illumination combine together. The lighting lamp group adopted by the invention consists of a light-adjustable ceiling lamp arranged on the ceiling of an office and light-adjustable desk lamps fixed on office seats. The dimmable lamp group adopts a plurality of dimmable dome lamps 170 and dimmable desk lamps 180 corresponding to the number of office users, and the dimmable dome lamps and the dimmable desk lamps both adopt LED lamps. Each dimmable dome lamp 170 comprises a driver 171 and an LED string 172, and each dimmable desk lamp 180 comprises a driver 181 and an LED string 182; the LED string has the characteristics of adjustable light property and adjustable brightness in at least one of color temperature and color.

The user identification unit 130 identifies a user to perform data collection and operation for a unique individual. Preferably, the user identification unit 130 may adopt one or more of the following identification methods: fingerprint identification, iris identification, voice identification, face identification or radio frequency card identification.

The user interface unit 140 includes a main switch, a display screen, and an operation panel for entering parameters and initiating operations, and may be placed in a management location in an office. The position recognition unit 120 employs a human body detection module for detecting the on-site information of the open office user and determining whether there is an office user or a staff at the current office site.

Preferably, the user identification unit 130 and the user interface unit 140 are disposed on the same operation terminal. When a user is assigned to the current office, registration of the office user is accepted through the user interface unit 140 and the user identification unit 130, and a user registry including a user identification number, a user identification feature, and an office location number is stored in the storage module 155 of the control unit. The user registry is associated with a current office number.

For each registered office user, a light color scoring table is input through the user interface unit 140 and stored in the storage module, wherein each record of the light color scoring table includes an office time period, a color temperature, an illumination intensity, and a scoring value.

Preferably, a subscriber identity module included in the subscriber identity module 130 is provided at each office location, and when a subscriber at an office location changes, the subscriber identity module performs detection and sends a detection signal to the control unit, so as to update the subscriber registry data.

Preferably, the control unit 150 further uploads the data in the storage module to an external cloud server through network connection, and when the user changes offices, the light color scoring table is automatically read into the storage module of the new office control unit through the user identification unit.

Referring to fig. 3, the light color processing module 152 includes an illuminance detector and a color temperature detector, based on the color temperature and the illuminance signal input from the input module 151, the color temperature detector in the light color processing module 152 processes the color temperature signal to obtain a color temperature value of each test point in the office, and the illuminance detector processes the color temperature value to obtain an illuminance uniformity of each row of aisle test points parallel to the window and an illuminance gradient value between each row of aisles. Referring to fig. 5a, in each row of aisles 17 parallel to the window 11, a plurality of illumination test points are arranged, and an illumination uniformity value and an illumination mean value of each aisle 17 are respectively calculated; and further calculating the illumination gradient value between every two rows of passageways from the window to the inner side based on the illumination mean value.

Referring to fig. 2, 5a and 5b, in an open office, a plurality of rows of office seats are distributed along parallel lines of a window 11, the office seats are adjacent to each other in pairs and are divided into compartments by partition plates 16, each seat compartment is provided with a desk 14 and a seat 15, a passageway 17 is arranged between the office seat rows, the passageway 17 is substantially parallel to the window, and a plurality of passageways are arranged from the window to the inner side. The curtain 12 is arranged on the inner side of the window to block the sunlight, and the opening degree of the curtain 12 is adjusted through an automatic control module or manually. A plurality of doors 13 are provided at one side of the office.

The open-type office takes a dimmable lamp set as a lighting source, the dimmable lamp set comprises a plurality of dimmable top lamps 170 which are arranged on a ceiling top and approximately distributed in rows and columns, and dimmable desk lamps 180 on each office desk, wherein the dimmable top lamps 170 provide global basic lighting, the dimmable desk lamps 180 provide local supplementary lighting, and the dimmable top lamps and the local supplementary lighting together provide mixed artificial lighting of the office. A human body detection module 121 included in the position identification unit 120 is provided corresponding to each office position, and the human body detection module 121 can adopt human body sensors such as infrared and microwave to detect the personnel in each office position, so as to acquire all on-site personnel data in the office. In order to detect light color parameters such as illuminance and color temperature for the test points set at each office location, aisle, etc., the light color sensing unit 110 is provided with fixed light

color detection modules

112 and 111 respectively located inside and outside the window, and an indoor light color detection module corresponding to the office location. The indoor light color detection module can be arranged on the desktop of an office table or hung on a ceiling through a bracket. Referring to fig. 6, when the mobile light color detection module 113 is used in the suspended configuration, the indoor light color detection module is a mobile light color detection module.

As shown in fig. 6, the mobile photochromic detection module includes a photochromic sensor 35, the photochromic sensor 35 is accommodated in a cylindrical light-taking cylinder 36, the light-taking cylinder 36 is connected to the base 31 through the second rotating shaft 34, the connecting rod 33 and the first rotating shaft 32 in sequence, and the base 31 is fixed to the ceiling through screws. The first and second

rotating shafts

32 and 34 rotate in two orthogonal roll and pitch directions, respectively.

The light color sensor 35 can use a silicon photocell with multiple color channels as a sensor to detect the reflected light signal of the target office desktop, and the light color processing module of the control unit calibrates the intensity of the reflected light and the illumination of the target office desktop through experiments and detects the light color parameters of the test points of the office desktop on line according to the calibration relation.

The base 31 has a circuit board for collecting and processing the light color sensing signal and outputting the signal to the control unit. Preferably, the illumination detection sampling points are arranged on the vertical panel of each office partition, and the vertical illuminance and the desk desktop illuminance are calibrated in an off-line state, so that the vertical illuminance can be converted into the desk horizontal illuminance, namely the desktop illuminance on line. Because of the little dust accumulation on the facade, the correction of the light color sensor can be repeated for a long time.

Because the mobile photochromic detection module can realize the alignment of a plurality of points in a two-dimensional plane through the rotation of the two rotating shafts, one mobile photochromic detection module can carry out illumination detection on a plurality of office positions around the mobile photochromic detection module. An illumination test point is arranged on each office position of an office, the control unit controls the first rotating shaft and the second rotating shaft in the movable light color detection module to rotate, so that the light taking straight cylinders of the movable light color detection module are sequentially aligned to the preset illumination test points, and the light color processing module processes the light color detection points based on the sensing signals of the light color sensors to obtain the color temperature and the illumination value of the illumination test points of each office position. Through teaching, the rotation angles of the first rotating shaft and the second rotating shaft can be changed for multiple times, so that the light-taking straight cylinder is sequentially aligned to each preset illumination test point, the rotation angles of the first rotating shaft and the second rotating shaft corresponding to each illumination test point are recorded simultaneously, the records are searched during online detection, the two rotating shafts are controlled to rotate to corresponding angles, and the light color parameters of each office position can be obtained in real time.

Since the small intervals of each office seat are relatively independent, generally speaking, each dimmable desk lamp has no significant influence on other office seats, and the illumination range is mainly concentrated on the office seat where the dimmable desk lamp is located. But due to the reflection of the compartment environment objects the light from the table lamp can also affect the ceiling of the office through multiple reflections.

The adjustable light bank emits light, and comprehensive illumination can be formed on the ceiling of an office through direct incidence and repeated reflection. Preferably, in order to obtain the overall illumination effect of the office, a plurality of illumination test points are also arranged on the ceiling of the office at intervals in an approximately uniform distribution manner, the rotating angles of the rotating shafts corresponding to the test points are obtained by teaching the mobile light color detection module, and meanwhile, corresponding fields are expanded in the dimming illumination distribution table. When the test point on the ceiling is detected, the mobile photochromic detection module can be controlled according to the rotation angle recorded by the teaching so as to lead the sensor to be aligned with the test point. In an off-line state, the illumination test points on the ceiling are together with the test points corresponding to office positions and passageways, and the illumination parameters of the test points are recorded in a dimming illumination distribution table under various drive current combinations of the dimming lamp group.

As shown in fig. 5b, the fixed light

color detection modules

112 and 111 are respectively fixed on the top of the windowsill inside and outside the window to respectively obtain the illumination intensity and the light color temperature inside and outside the window.

As shown in fig. 7a and 7b, the fixed photochromic detection module includes a photochromic sensor 24, wherein the photochromic sensor 24 is accommodated in a spherical crown-shaped light-taking ball 25 having a reflective coating on an inner side, the light-taking ball 25 is connected to the fixing seat 21 through the support 22, and the fixing seat 21 is fixed on the top of the windowsill through a screw.

There are several lighting holes 26 on the top of the inverted light-fetching ball 25, there is a connecting piece 23 connected to the pillar 22 near the junction between the light-fetching ball and the pillar, and the outer end of the connecting piece 23 is provided with a rotating shaft 28 for rotating the dust cover 27. In fig. 7a, the fixed light color detection module can perform detection with the dust cover 27 in an open state; in fig. 7b, the dust cover 27 is closed and attached to the outer wall of the light extraction ball 25 in a state where detection is not necessary.

The fixed light color detection module 112 at the inner side of the window receives the reflected light from the indoor position close to the ground of the window, the light enters the lighting ball through the small hole, and then is reflected and homogenized for many times to irradiate on the light color sensor 24, at this time, the sampled light signal is transmitted to the light color processing module of the control unit, and then the ground light intensity at the inner side of the window is obtained. The fixed light color detection module 111 outside the window receives the reflected light from the windowsill outside, and the sensor signal is processed to obtain the light intensity of the windowsill outside and the color temperature of the natural light.

As shown in fig. 2, fig. 8a and fig. 8b, the lighting system further includes a curtain opening degree detection unit 190 connected to the control unit, and the control unit processes and obtains the curtain opening degree based on the sensing signal of the curtain opening degree detection unit. The curtain opening degree detection unit comprises a curtain opening degree sensor linked with the curtain rotation module.

As shown in fig. 8a, the curtain is preferably a rolling curtain 41, the curtain rotation module is a rotation shaft 42, and the curtain opening sensor is an encoder 43. As shown in fig. 8b, preferably, the blind uses a louver 44, the rotating module of the blind is a rotating rod 47 fixed on a fixed base straight tube 45, and the sensor of the opening degree of the blind is an angle sensor 46.

The rolling shaft and the rotary rod are operated by an automatic control module or manually to rotate, so that the opening degree of the curtain is adjusted, strong direct light entering from a window is shielded or weakened, and proper natural light can be obtained while outdoor glare is prevented.

As shown in fig. 5b and fig. 7a, preferably, the curtain opening may also be obtained based on the fixed light

color detection modules

112 and 111 respectively located inside and outside the window:

and establishing a window internal and external light intensity mapping table, respectively acquiring the internal and external light intensities of the window through the fixed light color detection modules at the internal and external sides of the window under different window opening degrees in an off-line state, and recording the corresponding internal and external light intensities of the window and the corresponding window opening degrees by using one line of the window internal and external light intensity mapping table.

In an on-line state, the In light intensity inside and outside the window is respectively obtained based on the fixed light color detection modules inside and outside the window₀、 Iw₀And obtaining the opening ck of the curtain by searching and interpolating based on the mapping table of the light intensity inside and outside the window₀. Firstly, find P (In) In the mapping table of light intensity inside and outside the window₀，Iw_o) Around the peripheryFour points are as follows: a (In)₁，Iw₁)，B(In₂，Iw₁)，C(In₁，Iw₂) And D (In)₂，Iw₂) In of which₁≤In₀≤In₂，Iw₁≤Iw₀≤Iw₂The curtain opening ck0 is interpolated by taking the distance as a weighted value,

wherein d is₁Represents the shortest distance of P to four points, d₂The second shortest point, and so on, d_TIs the sum of four distances; ck₁The curtain opening value of the shortest distance point; and respectively adding different weights to four points closest to the P point to be searched according to different distances, wherein the four points are the shortest and the heaviest.

In a pure natural light environment without opening the office light set, as shown in fig. 5b, fig. 6, and fig. 7a, based on the curtain opening degree detection, the opening degree of the curtain is changed in an off-line state, at each curtain opening degree, the outdoor light intensity is obtained by the window outer side fixed light color detection module, the illumination value of each corresponding illumination test point is obtained by the indoor light color detection module, and the corresponding outdoor light intensity and the illumination value of each illumination test point are recorded in the light intensity mapping table. Therefore, during on-line control, the outdoor light intensity of the current natural light can be obtained based on the detection signal of the light color detection module fixed on the outer side of the window, and the second illumination value of the natural light at each illumination test point can be obtained through searching and interpolating the light intensity mapping table; meanwhile, a second color temperature value of the natural light corresponding to each illumination test point can be obtained. And the natural light corresponding to the second illuminance value and the second color temperature value and the artificial light corresponding to the first illuminance value and the first color temperature value formed by the adjustable light bank at each illumination test point are mixed and then irradiate each office position of the office.

The office mainly works in the daytime and is overtime at night. The illumination of the office is to be oriented to the supplementary lighting of natural light in the daytime and the night lighting. In the daytime, natural light enters the room through the window 11 and is blocked by the curtain 12. In general, when the weather is sunny, the illuminance in the area on the window side is significantly higher than that on the door side. For an office with a large depth, if the distribution of illumination is not well controlled, the problem that the brightness on the window side is far greater than that on the inner side is easily caused, and in the space, staff are easily affected by the emotional depression of the space. To avoid this, the illuminance distribution in the office space should be as uniform as possible, and the gradient change of the illuminance should be reduced.

Therefore, when the illumination of the office is optimally controlled, a grading index of the illumination gradient is supplemented in the process of optimizing the contrast distribution. Because the photochromic scoring preferences of each user at an office position are different, and the test points on the passages can also correspond to the whole office lighting effect, the illumination gradient is the illumination gradient value of each row of passages along the parallel line of the window, namely the illumination mean value of the test points on each row of passages parallel to the window is obtained; and then, differentiating the average value of the illumination of the current column and the average value of the illumination of the previous column of the aisle from one adjacent column of the window to the inner side.

For the working surface adjacent area of the aisle, if the target illumination of the office position where the office workers are not in position is simply set too low in the optimized illumination, and even the corresponding illuminating lamp is turned off, light spots with a bright section and a dark section are easily formed on the aisle, which is very unfavorable for the operation of other office workers, and the illumination comfort of the other office workers is greatly reduced. For this reason, the illuminance uniformity of the corridor is also included in the illumination optimization objective. Generally, the uniformity of illumination around the vicinity of the working surface should not be less than 0.5.

For office users, the brightness of any surface that is typically viewed directly should not be greater than 5 times the brightness of the work surface for good visual performance and comfort. And no large area, regardless of its position in the room, should have a brightness 1/3 less than the brightness of the work surface. According to the requirement of visual comfort and the characteristics of aisle lighting, an aisle illumination scoring function similar to a flat-topped hill slope is defined and stored in the storage module.

Referring to fig. 2, 3 and 4, in a natural light-free environment, the dimming module 154 obtains a dimming illumination distribution table of each LED string by changing a driving current value of each LED string in a dimmable light bank composed of dimmable dome lamps 170 and the like in an office and recording a color temperature value and an illuminance value of each illumination test point when each corresponding LED string is illuminated by a combined light; storing the dimming lighting distribution table in a storage module. Based on the dimming illumination distribution table and the light color grading table of each on-site office user, the user grading value can be calculated for the illumination effect corresponding to different value combinations of each LED string in the dimmable light group.

Therefore, based on the dimming illumination distribution table, the light color scoring table and the current time, the illumination optimization processing module 153 optimizes each LED string driving current value of the dimmable lamp bank within the feasible value space range by the multi-objective optimization algorithm, and transmits the optimization result to the driver of the corresponding LED string through the dimming module and the output module to execute the dimming control. Wherein, the optimizing process is divided into two stages:

the method comprises the steps that in the first stage, illumination test points on passageways adjacent to office positions are defined to be first-class passageway illumination test points on the basis of a passageway illumination scoring function and aiming at office positions where all users are not in place and share the same passageway with the users in place, expected illumination intervals of the first-class passageway illumination test points, namely illumination intervals with the highest scores are set to be 1/3-1/2 of recommended illumination of office desktops, optimization is conducted on all LED string driving current combinations of dimmable dome lamps on the basis of 4 scoring indexes such as illumination of the first-class passageway illumination test points, power consumption of the dimmable dome lamps, illumination uniformity of all passageways, illumination gradient among all rows of passageways and the like, and scoring of all the LED string driving current combinations in the optimization process is based on total illumination of light emitting and current natural light mixed illumination corresponding to the driving current combinations;

and in the second stage, aiming at all on-site users in an office, after the light emitting and natural light of the optimized dimmable top lamp are deducted, based on 2 scoring indexes of the total user scores of all on-site users, the power consumption of the dimmable table lamps and the like, optimizing the LED string driving current combination of each dimmable table lamp.

Preferably, the expected illumination interval of the first aisle illumination test point is set to be 150-250 Lx.

In the offline state, the dimming module 154 outputs a dimming command to the dimmable light set through the output module 156, where the dimming parameter set includes the driving current value of each LED string. Preferably, the dimmable lamp set comprises n LED strings in total in p paths of dimmable dome lamps and q paths of dimmable desk lamps.

Referring to fig. 4 and 5b, after the LED strings emit light, the light in the office is represented by samples of m test points distributed in the office and the aisle, and the color temperature and the illuminance value at each test point are obtained after the sensing signal is processed by the light color processing module 152.

The control unit sends dimming signals to the dimmable lamp set in a stepping change mode through the dimming module and the output module, detects the changed luminous environment, obtains the color temperature and the illuminance value of the test point, and repeats the steps until the recorded samples cover the value intervals of the driving currents of the LED strings.

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 illuminance values obtained after the corresponding color temperature and illuminance values are processed by the m illumination test point sensing signals sampled by the color sensing unit by the color processing module,

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 module receives the color temperature and the illumination value obtained after the sensing signals of the m illumination test points 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 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, and the current value combinations are mapped into color temperature and illumination values of all test points and output.

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

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.

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

in the first stage 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, enabling the q-path LED string driving current of the dimmable desk lamp to be zero, searching a dimming illumination distribution table to obtain the color temperature and illumination value of artificial light corresponding to each test point for each individual in an evolution group in a dimmable ceiling lamp search space based on the p-path driving current parameter values, 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 illumination test point of a first type of aisle, calculating the user total score f corresponding to the individual based on an aisle illumination score function according to the calculated illumination value of the first type of aisle illumination test point₁(ii) a Then, an energy-saving score value f is calculated according to the power consumption of the dimmable dome lamp₂And the illuminance uniformity of each row of aisle test points parallel to the window and the illuminance gradient value between each row of aisles are obtained through calculation, so thatRespectively calculating the grading values f of the illuminance uniformity according to the set grading functions₃Illuminance gradient score value f₄And carrying out weighted summation on the 4 scoring values to calculate the 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 overall score value to update the evolutionary population; and then, repeatedly evolving the population until the optimization is finished, and outputting an optimization result.

The calculation process of the total illumination of the artificial light and the current natural light mixed illumination is as follows:

firstly, aiming at p-path drive current parameter values of the individual and n-path drive currents of zero-value LED string drive currents of q-path dimmable desk lamps, searching a dimming illumination distribution table to obtain a first color temperature value and a first illumination value of each illumination test point when the corresponding combination of the dimming illumination distribution table is independently illuminated; obtaining a second color temperature value of the current natural light through a detection signal of a fixed light color detection module at the outer side of the window, and obtaining a second illumination value corresponding to the current natural light at each test point position by searching a light intensity mapping table based on the opening degree of the curtain; 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 preset illumination to 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 values of all factors of the individual according to the total illumination, the total color temperature value, the calculated illumination gradient and the illumination uniformity value.

Preferably, the illuminance-to-brightness conversion ratio is determined according to the sensor characteristics adopted by the photochromic sensing unit.

On the basis of the detection of the light color parameters, a grading function of passageway illumination, illumination uniformity and illumination gradient is defined according to the requirement of office on illumination.

As shown in fig. 9f, preferably, the aisle illumination score function is,

wherein e is the current illumination, be and ce are the lower limit value and the upper limit value of the ideal passageway expected illumination interval which is obtained according to statistics and covers the number of people with the set proportion, ae and de are the other two preset lower limit values and the other two preset upper limit values respectively; wherein the set ratio is between 0.85 and 0.95.

For illuminance uniformity, as shown in fig. 9b, the scoring function is,

Figure 268383DEST_PATH_FSB0000190784890000022

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

the illuminance uniformity is taken as the ratio of the minimum illuminance to the average illuminance of the test points of the passageways in the office, and according to the general standard, the value of bU is 0.5 or higher, and the value of aU is between 0.35 and 0.45.

For a uniform gradient of illumination, as shown in fig. 9c, the scoring function is,

Preferably, D is 5-20 lux/m.

Preferably, D is 15 lux/m.

In the second stage of the optimization algorithm, the optimized dimmable dome light and the natural light are deducted according to the following processes:

searching a dimming illumination distribution table to obtain a first color temperature value and a first illumination value of each point corresponding to the test point of the on-site user when the corresponding combination of the dimming illumination distribution table singly emits light; obtaining a second color temperature value of the current natural light through a detection signal of a fixed light color detection module at the outer side of the window, and obtaining a second illumination value corresponding to the current natural light at each test point position by searching a light intensity mapping table based on the opening degree of the curtain; 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 preset illumination to 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; finally, searching all the light color scoring tables corresponding to the users corresponding to the test points of the on-site users according to the total illumination, the total color temperature and the current time period to obtain the independent scores of all the on-site users, and summing the independent scores to obtain the total user scoring value f corresponding to the individual user₁(ii) a Then, an energy saving score f is calculated based on the power consumption₂And carrying out weighted summation on the 2 scoring values to calculate the total scoring value f ═ k corresponding to the individual₁·f₁+k₂·f₂Wherein k is_i(i is 1, 2) is a preset weighting coefficient, and the inheritance, intersection and variation operations are carried out according to the overall score value to update the evolutionary population; then, the reaction is carried outAnd repeating the groups until the optimization is finished, and outputting the optimization result.

The system calculates the user score based on the office desktop photochromic preference of each on-site user, and embodies the personalized illumination requirement; in addition to the personalized requirements, all users share the same office space, so that the grading adjustment can be performed on the lighting effect corresponding to the parameter to be optimized in the aspects of the overall brightness of the office and the matching of the illumination and the color temperature. As shown in fig. 9a, 9d and 9e, the total score value f of the user is preferably obtained in the second stage of optimization₁And also multiplied by an illuminance coefficient eta₁And a color temperature and illuminance correlation coefficient eta₂，

f₁′＝f₁·η₁·η₂，

Wherein f is₁And f₁' Total score values of users before and after adjustment, E illuminance at the center of a ceiling of an office area covering the number of users at a set ratio currently, W corresponding color temperature, aE upper limit value of an interval of illuminance values obtained according to statistics and covering the number of people at a set ratio scored to be satisfactory, EW1, EW2 are two illuminance limit functions corresponding to the current color temperature W, and

EW1＝972.2/[1+(W/5413.8)-3.7]-4.2，

EW2＝0.0565·e^0.003W，

EW0 and EW3 are two preset lower and upper limits linked to EW1 and EW2, respectively.

Preferably, aE is 500-800 Lx.

Preferably, aE takes the value 650 Lx.

Preferably, the EW0 is 0.5 times of the EW1, and the EW3 is 1.3-1.6 times of the EW 2.

Preferably, the total credit value f is given to the users only when the ratio of the number of the office users in the office to the total number of the users exceeds a set value₁Multiplied by the illumination coefficient η₁(ii) a Preferably, the set value of the percentage is 70%.

Preferably, the ceiling center is obtained by a gravity center method based on the positions of all the users in place, and the illuminance and the color temperature of the ceiling center are calculated through the set number of light color test points near the obtained center point.

Preferably, several sampling points may be disposed around the central point, and the illuminance and the color temperature are taken as the median of the detection results of the several sampling points.

For a day office worker, it is difficult to dynamically adjust melatonin secretion with constant light, which may disturb the physiological clock of the office worker for a long time. Therefore, the system adopts a method for dynamically adjusting the scoring index, so that the optimized lighting environment can simulate the change of sunlight color, and the biological rhythm of office staff is kept in a coordinated state.

f₁₀′＝f₁₀·(1+η)，

η＝α·sim(K，Know)+(1-α)·sim(L，Lnow)，

Preferably, the Know and the Lnow are obtained by detecting and post-processing natural light through a fixed light color detection module on the outer side of the window; preferably, the Know and the slow are obtained by calculation according to the weather forecast obtained from the weather forecast server 160.

In addition, experiments show that people are easy to fatigue and get tired after long-time work, and the blue component in the high-color-temperature light is high, so that the vigilance capability of a user is improved, and the user keeps a thought centralization state. For this reason, the cumulative operating time and color temperature factors are embodied in the light color score.

Whether the user is at the office position is continuously detected through the human body detection module corresponding to the office position, and the continuous working time of the user is obtained through accumulation, and correspondingly, the control unit is further configured to:

f₁₀′＝f₁₀·η，

where t is given in minutes, K is the color temperature of the light to be evaluated, K_SFor a set intermediate color temperature value, e.g. K can be_SThe value is 4500K, η is the adjustment coefficient, f₁₀And f₁₀' the values of scores before and after adjustment, respectively.

Preferably, when the scheme of the invention is used for illumination automatic optimization control, different illumination parameters are switched in a stepping mode, and the switching is completed in a mode that the driving current of each LED string is gradually changed in a set time.

Preferably, a set period is used as an interval between each optimization control.

Preferably, the natural light intensity is detected by a fixed light color detection module on the outer side of the window, and the natural light intensity is optimized again when the light intensity change exceeds a set threshold value; preferably, the threshold value is 3-15%, and the threshold value corresponding to cloudy days is smaller than that of sunny days.

Preferably, the control unit may also acquire daylight intensity forecast data from the server 160 and initiate optimization control based on the amount of change in daylight intensity.

Preferably, when a new on-site user exists, the optimization control is started; preferably, the optimization control is resumed when a user at the present position leaves the office position for more than a predetermined time.

Preferably, the dimmable light set comprises two LED strings of high color temperature and low color temperature, each LED string corresponds to one 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,

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.

As shown in fig. 1 and 10, the multi-objective optimization algorithm preferably performs the following steps:

s1, establishing a dimming illumination distribution table of the adjustable lamp set in the office, a light intensity mapping table from the light color detection module outside the window to the illumination of m illumination test points in the office, establishing a light color grading table for each office user, establishing a light color grading function according to the passageway illumination requirement,

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 the evaluation value of each of the factors,

s2, initializing parameters such as evolution population scale, crossover probability, variation probability and the like, determining the value interval and the coding strategy of each drive current parameter of the adjustable light bank and the number N of global Pareto optimal solution replaced in each generation of population_rp；

S3, setting the current parameter set to be optimized as p-path LED string driving current of the dimmable dome lamp, and setting q-path LED string driving current of the dimmable desk lamp to be 0;

s4, generating an initial population P (0) randomly for the current drive current set to be optimized, wherein k is 0;

s5, let k equal to k + 1; if the end condition is reached, turning to the S11, otherwise, turning to the next step;

s6, decoding all individuals in the group P (k-1) to obtain each path of driving current value, searching the dimming illumination distribution table through multi-dimensional interpolation according to all n paths of LED string current values to obtain the color temperature and illumination value of the corresponding artificial light at each test point,

if the dimmable dome lamp is optimized, then:

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 illumination test point of the first type of aisle, and calculating the illumination of the illumination test points of the first type of aisle according to the calculated illuminationCalculating a user total score value f corresponding to the individual based on the aisle illumination score function₁(ii) a Then, an energy-saving score value f is calculated according to the power consumption of the dimmable dome lamp₂And obtaining the illuminance uniformity of the total illumination at each row of aisle test points parallel to the window and the illuminance gradient value between each row of aisles through calculation, and further calculating the illuminance uniformity score value f according to the set score functions₃Illuminance gradient score value f₄Weighting and summing the 4 scoring values to calculate an overall scoring value corresponding to the individual;

otherwise, if the adjustable light desk lamp is optimized, then:

calculating the total color temperature and the total illumination value of the total illumination of the artificial light and the current natural light mixed illumination corresponding to each illumination test point of the user in place, searching all light color scoring tables corresponding to the users corresponding to the test points of the user in place according to the total illumination, the total color temperature and the current time period to obtain the independent score of each user in place, and summing the independent scores to obtain the total user scoring value f corresponding to the individual₁(ii) a Then, calculating an energy-saving rating value f according to the power consumption of the adjustable light table lamp₂Weighting and summing the 2 scoring values to calculate an overall scoring value corresponding to the individual;

comparing to obtain a Pareto optimal solution set PT of the present generation_kAnd updating the global Pareto optimal solution set PT_g；

S7, 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);

s8, carrying out crossover and mutation operations on the individuals in the P '(k) to generate a population P' (k);

s9, for PT in P' (k)_kIf the overall evaluation function F value of the filial individuals of the set cannot be better than that of the parents, the filial individuals of the set are back-substituted by the parents to obtain a population P ″′(k)；

S10, 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);

s11, turning to step S5;

s12, after the search is finished, selecting a solution with the optimal F value of the overall evaluation function based on the finally obtained Pareto optimal solution set, and storing the optimal solution; if the adjustable light desk lamp is optimized, turning to S14, otherwise, turning to the next step;

s13, in the second stage, enabling the current parameter set to be optimized to be q paths of LED string driving currents of the dimmable desk lamp, enabling p paths of LED string driving currents of the dimmable top lamp to be the searched optimal solution, and turning to the step S4;

and S14, finishing optimization, and combining and outputting the obtained optimal solutions.

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. An open office lighting system based on mixed lighting comprises a user interface unit, a light color sensing unit, a position identification unit, a user identity identification unit, a dimmable light set and a server, as well as a control unit connected with the user interface unit, the light color sensing unit, the position identification unit, the user identity identification unit, the dimmable light set and the server,

the light color sensing unit comprises two fixed light color detection modules respectively positioned at the inner side and the outer side of the window and an indoor light color detection module corresponding to office positions and passageways, the light color detection modules are used for detecting the light intensity and the color temperature of natural light and the illumination and color temperature and light color parameters of each illumination test point,

the user identification unit is used for identifying the open office user,

the first stage, based on the corridor illuminance scoring function, aiming at the office positions where all users are not in place and share the same corridor with the users in place, setting the expected illuminance interval of the first class of corridor illumination test points on the corridor adjacent to the office positions, namely the illuminance interval with the highest score as 1/3-1/2 of recommended illuminance of an office desktop, optimizing each LED string driving current combination of the dimmable dome lamp based on the illuminance of the first class of corridor illumination test points, the power consumption of the dimmable dome lamp, the illuminance uniformity of all the corridors and 4 scoring indexes of the illuminance gradient between every two rows of corridors, wherein the scoring of each LED string driving current combination in the optimizing process is based on the total illuminance of the corresponding emergent light of the driving current combination and the current natural light mixed illumination,

in the second stage, after the light and natural light of the optimized adjustable light top lamp are deducted for all the on-site users in the office, the LED string driving current combination of each adjustable light desk lamp is optimized based on the total user scores of all the on-site users and 2 scoring indexes of the power consumption of the adjustable light desk lamp,

2. The open office lighting system based on hybrid lighting according to claim 1,

the aisle illumination score function is as follows,

the illuminance uniformity score function is as follows,

the illumination gradient scoring function is such that,

3. The open office lighting system based on hybrid lighting according to claim 1,

the fixed photochromic detection module comprises a photochromic sensor, the photochromic sensor is accommodated in a spherical crown-shaped light-taking ball with a reflective coating on the inner side, the light-taking ball is connected on a fixed seat through a support, the top of the light-taking ball is provided with a plurality of small holes for lighting, a connecting piece is also arranged near the joint of the light-taking ball and the support, the outer side end of the connecting piece is provided with a rotating shaft for rotating a dustproof cover, the dustproof cover is attached to the outer wall of the light-taking ball when being closed,

the control unit is further configured to:

4. The open office lighting system based on hybrid lighting according to claim 3,

the system also comprises a curtain opening degree detection unit connected with the control unit, the control unit processes and obtains the curtain opening degree based on the sensing signal of the curtain opening degree detection unit,