CN112584572B

CN112584572B - Open Office Lighting System

Info

Publication number: CN112584572B
Application number: CN202110085569.2A
Authority: CN
Inventors: 邹细勇; 张维特; 井绪峰; 徐伟; 陈亮
Original assignee: China Jiliang University
Current assignee: Hefei Minglong Electronic Technology Co ltd
Priority date: 2018-12-29
Filing date: 2019-04-03
Publication date: 2023-08-25
Anticipated expiration: 2039-04-03
Also published as: CN112584571A; CN112584570A; CN112584570B; CN109890105B; CN109890105A; CN112584572A

Abstract

The application provides an open office lighting system, which comprises a user interface unit, a light color sensing unit, a position identification unit, a dimmable light set, a server and a control unit. The light color evaluation basis such as a dimming illumination distribution table of the lamp group, a light color evaluation table of each office user, a light intensity mapping table of the illuminance of each indoor illumination test point from the outside light intensity and the like is established in the control unit, when the on-site user changes or the natural light changes to reach the set condition, the factors such as user evaluation, energy saving, illuminance gradient, illuminance uniformity and the like are scored on the basis of the current natural light condition and the light color evaluation basis on the lamp group driving current combination to be optimized in the multi-target optimization process, and the optimizing result is sent to the driver to adjust the light emission of the lamp group, so that the comprehensive optimization illumination of the office is realized. The application can respond to the illumination preference of different users in the office, and can dynamically adjust the current of the lamp group according to the office duration and the sunlight change, thereby creating a natural, comfortable and energy-saving illumination environment for the office.

Description

Open office lighting system

The application relates to a division application of application number 201910287077.4, application date 2019, 04 month 03 and the application name of an open office lighting system, a control method and a fixed light color detection module.

Technical Field

The invention belongs to the field of intelligent illumination, and particularly relates to an open office illumination system.

Background

In the information age today, in office buildings, employee efficiency and success is largely dependent on communication. In many cases, employees work in team projects, with each team member handling tasks related to the project. Thus, a combined office is formed accordingly. In combination offices, open offices have been developed and are most common, and their allowed functionality and flexible architecture make them an operational choice for many companies. With advances in work, most activities performed in offices include tasks that require computer processing.

For computer workplaces, it must be ensured that the pressure of the eyes constantly switching back and forth between the screen, the working material and the surrounding environment is kept to a minimum and the need for drastic contrast adjustment and adaptation should be avoided. Therefore, in widely existing open offices where computers are used, it is important to avoid direct and reflected glare of light; for example, too high a brightness contrast will result in direct glare, while reflected glare is caused by reflection of bright surfaces such as windows or lamps on the screen. If these sources of interference are not sufficiently limited, fatigue, inefficiency and personnel health problems can result. Therefore, these offices should optimize the arrangement of the office phases with respect to the windows and be shielded by curtains or blinds to avoid glare.

In an open office, glare can be avoided by design and layout. However, in addition to the basic requirement of antiglare, good illumination is more desirable for employees. The good office lighting not only can make the office more beautiful, but also can directly influence the working efficiency of staff and the productivity of the whole company, and the good office lighting is sufficient and reasonable, so that each staff can feel more comfortable, and meanwhile, the error rate is reduced and the eyestrain is relieved.

Office lighting generally has two types of illumination light and natural light, and sunlight can change continuously along with time in one day, so that natural light from the outside has a large difference. Modern open offices tend to have long rows of windows, considerable room depth, and for most office locations inside the office, the natural light is insufficient and many areas must be lit primarily by artificial lighting.

With the development of electric technology and electric light source technology, the indoor working environment is increasingly separated from the use of natural light. This trend of illumination with artificial light sources has led us to deviate from the natural biological clock itself, which is already in existence, with a 24-hour period, and as a result of this phenomenon we have deeply incorporated into our daily lives, we have forgotten the previous daily life cycle pattern. Office personnel can inhibit melatonin secretion and change circadian rhythm if exposed to natural light for too little time per day and prolonged exposure to artificial lights, and can seriously affect transmission of physical nervous system information. Therefore, in many office buildings using energy-saving lighting systems, the illuminance level does not provide sufficient stimulus to the circadian system, and people feel tired, frightened, and depressed easily. In winter, people have less chance to contact sunlight, and seasonal emotional agitation is easily caused.

Vision is the most important of all five senses, so ensuring adequate and reasonable illumination of the workplace is particularly important. Furthermore, in modern workspaces, we need not only a proper amount of light suitable for workplace tasks, but also a series of illumination stimuli that meet the law of sunlight and the rhythms of the human body. In a general office, more than seven persons sit in front of a computer for more than 6 hours a day, and the most frequently occurring symptom of physical discomfort is eye fatigue.

In the conventional constant-luminance illumination control mode, if the set target luminance is insufficient, sufficient illuminance cannot be provided, visual fatigue is easily caused and even myopia is caused to occur. Furthermore, the fatigue is also related to the color temperature of the lamp light. Low color temperature lighting devices are easily perceived as tiring. Many people have this experience: when reading, a warm yellow desk lamp is used, so that people can feel drowsy. In fact, the closer the light is to natural light, the better, so artificial lighting should be designed in combination with natural lighting to form a comfortable lighting environment. In the aspect of illumination change, the dynamically changed light color environment meets the requirement of human body rhythms better than constant illumination, and the user experience can be improved.

Currently, many automatically controlled lighting schemes have emerged for traditional on-off office lighting. Among these existing office lighting schemes, some employ dynamic dimming schemes, such as two chinese patent applications of patent nos. 2016110932459 and 2016110932321, for adjusting the lighting color by changing the color temperature during the on-duty, particularly by supplementing the high color temperature illumination. The Chinese patent application with the patent number of 2015104652846 regulates the brightness of the lamplight in the area when people exist in the office, thereby improving the energy-saving effect; the Chinese patent application with the patent number of 2016106488075 can further intelligently adjust the illumination system of the office according to the leaving or entering conditions of different persons. According to the Chinese patent application of 2016107876858, the physiological rhythm and emotion of a human body are regulated through preset light parameters, so that the working efficiency is improved.

These control schemes are mainly preset for several different time periods or different lighting distributions, and a program-controlled means is adopted to change the office lighting conditions according to preset conditions in several times on a job basis. But office lighting is a complex system which is mainly oriented to staff's illumination compensation in the daytime of the office and also gives consideration to night lighting; the lighting experience is closely related to the psychological and physiological activities of the person, and the lighting expectations of different individuals are obviously different; moreover, the ambient light is continuously changing over time, and the traditional dimming control means according to a limited number of modes cannot meet the personalized lighting demands of office staff. Therefore, there is a need for an intelligent lighting system that comprehensively considers ambient light conditions, individual needs of different office workers, and energy conservation and environmental protection metrics.

SUMMARY OF THE PATENT FOR INVENTION

Open offices have more personnel, and generally because of the greater depth of space, sunlight shines relatively little where it is, and the person's craving for sunlight is apparent. How to fully utilize natural light, solve the problems of monotonous vision, simulating artificial sunlight, improving the lighting color of a desktop and responding to diversified individual demands of office staff, which are the problems to be solved by the invention.

The office time is almost daytime, so that artificial lighting is designed to form a comfortable lighting environment in combination with natural lighting. And the night illumination requirement is considered.

The requirements are considered when the lamps and the arrangement design are selected, but in actual operation, the requirements of illumination can be met through optimized regulation and control.

The invention aims to provide an open office lighting system, which is characterized in that a dimming lighting distribution table of an office dimming dome lamp and a light intensity mapping table between the inside and outside of a window are established in an offline state, and a light color scoring table is established for each user after the office user registers; during on-line control, detecting the light color parameters of the current natural light, calculating 4 scoring factors including user scoring, energy-saving scoring, illuminance gradient scoring and illuminance uniformity scoring based on the light dimming illumination distribution table and the light color scoring table to-be-evaluated tunable ceiling lamp parameter combination, optimizing the driving current of the tunable ceiling lamp through a multi-objective optimization algorithm, and sending an optimizing result to a driver to adjust the lighting of the ceiling lamp, so that comprehensive optimization illumination of an office is realized.

The technical proposal of the invention is to provide an open office lighting system with the following structure, which comprises a user interface unit, a photochromic sensing unit, a position identification unit, a user identity identification unit, a dimmable lamp group and a server, and a control unit connected with the user interface unit, the photochromic sensing unit, the position identification unit, the user identity identification unit, the dimmable lamp group and the server,

the user interface unit is used to enter parameters and initiate operations,

the light color detection module in the light color sensing unit is used for detecting light color parameters such as light intensity and color temperature of natural light, illuminance and color temperature of each illumination test point,

the location identification unit is used to detect presence information of an open office user,

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

the dimmable lamp set comprises a plurality of dimmable dome lamps which adopt LED strings as light sources and have the characteristic of adjustable at least one light property of color temperature and color and adjustable brightness,

the control unit is configured to:

color temperature and illuminance signals of a plurality of illumination test points of an open office and personnel in-place signals of each office are respectively obtained from a light color sensing unit and a position identification unit of the system,

Calculating and obtaining the illuminance gradient value and the illuminance uniformity value of each preset area of the office based on the detection signals of each test point,

in an off-line state, receiving registration of an office user through a user interface unit and a user identity recognition unit; in a pure natural light environment, a light intensity mapping table is obtained by calibrating sensing signals of a fixed light color detection module at the outdoor side of a window and an indoor light color detection module under different window curtain opening degrees,

the user inputs a photochromic scoring table through the user interface unit, wherein each record of the photochromic scoring table comprises office time period, color temperature, illumination and scoring value,

under the environment without natural light, the dimming illumination distribution table of each LED string is obtained by changing the driving current value of each LED string of the adjustable light ceiling lamp in an office and recording the color temperature value and the illumination value of each illumination test point when the corresponding LED strings are combined to emit light for illumination,

and during on-line control, acquiring the light color parameters of the current natural light based on the curtain opening and the detection signals of the fixed light color detection module at the outer side of the window, optimizing the light color parameters of the current natural light in the spatial range of the driving current value of each LED string of the adjustable light lamp group through a multi-objective optimization algorithm based on the dimming illumination distribution table and the light color evaluation table of each office user according to the current time and the user in-place information detected through the position identification unit, and transmitting the optimizing result to a driver corresponding to the LED string, wherein the score of each LED string driving current combination in the optimizing process is based on the total illumination after the light output and the current natural light mixing of the driving current combination.

Preferably, the user interface unit includes a main switch, a display screen and an operation panel; 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.

Preferably, in the processing procedure of the multi-objective optimization algorithm, if the current time is within a range from 7 a.m. to 6 a.m., the independent scoring values of the in-place users are adjusted according to the similarity between the to-be-scored light color parameter and the current daylight color:

f ₁₀ ′＝f ₁₀ ·(1+η)，

η＝α·sim(K，Know)+(1-α)·sim(L，Lnow)，

wherein alpha is a set coefficient, K, L is a color temperature value of total illumination to be scored, a ratio of illuminance to preset maximum illuminance, know and Lnow are a color temperature and relative brightness of current sunlight, the relative brightness is a ratio of current sunlight brightness to noon sunlight brightness, a similarity function sim (,) adopts a normal distribution function or a triangle distribution function taking a second parameter as a center, the distribution amplitude is set according to a value range of a first parameter, eta is an adjustment coefficient, f ₁₀ And f ₁₀ ' are scoring values before and after adjustment, respectively.

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

In the multi-objective optimization processing process, after the photochromic scoring values are calculated for different photochromic parameter conditions according to the photochromic scoring table for each user in an office, the independent scoring values of each in-place user are adjusted according to the continuous working time length t and the color temperature value K:

wherein t is in minutes, K is the color temperature of the light to be scored, ks is a set intermediate color temperature value, eta is an adjustment coefficient, and f ₁₀ And f ₁₀ ' are scoring values before and after adjustment, respectively.

Preferably, the adjustable light ceiling lamp comprises two LED strings with 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 (i 1, i 2) to color temperature and illumination values of each test point,

in the processing process of the multi-objective optimization algorithm, for the combination of the two-channel current values (i 01, i 02) corresponding to each individual in the evolutionary population, the color temperature and the illumination value of each test point are obtained by interpolation searching in the mapping table;

the driving current value of each LED string in the dome lamp is regulated by the driver, and the optimizing result of the multi-objective optimizing algorithm is the PWM wave duty ratio value of the driving current of the LED string.

Preferably, each record of the dimming lighting distribution table comprises n paths of LED string driving current values of the dimming lamp group and color temperature and illuminance values obtained after sensing signals of m illumination test points sampled by the light color sensing unit are processed by the corresponding light color processing module,

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 until the recorded sample covers the value interval of each LED string driving current;

in the processing process of the multi-objective optimization algorithm, firstly, initializing, determining a strategy for encoding driving current parameters of n paths of LED strings, and determining respective value intervals; secondly, aiming at each body in the evolution group in the search space, based on n paths of driving current parameter values, searching a dimming illumination distribution table to obtain color temperature and illumination values of corresponding artificial light at each test point, calculating the color temperature and illumination values of the total illumination of the artificial light and the current natural light after mixing light at each test point, searching all light color scoring tables corresponding to users corresponding to the test points of the users in place according to the calculated color temperature and illumination values of each test point and the current time period to obtain independent scores of the users in place, and summing the independent scores to obtain a user total scoring value f corresponding to the individual ₁ The method comprises the steps of carrying out a first treatment on the surface of the Then, an energy saving score f is calculated from the power consumption ₂ 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, and then the illuminance uniformity scoring value f is calculated according to the set scoring function ₃ Illuminance gradient score value f ₄ The 4 scoring values are weighted and summed to calculate an overall scoring value f=k corresponding to the individual ₁ ·f ₁ +k ₂ ·f ₂ +k ₃ ·f ₃ +k ₄ ·f ₄ Wherein k is _i (i=1, 2,3, 4) is a preset weighting coefficient, and genetic, crossover and mutation operations are performed according to the overall grading value, and the evolutionary population is updated; and repeatedly evolving the population until the optimization is finished, and outputting an optimization result.

Preferably, the calculation process of the total illumination is as follows:

firstly, aiming at n paths of driving current parameter values of an 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 corresponding combinations of the dimming illumination distribution table singly emit light; obtaining a second color temperature value of the current natural light through detection signals of a fixed light color detection module at the outer side of the window, and obtaining a second illuminance value corresponding to the current natural light at each test point position through searching a light intensity mapping table based on the opening of the curtain; then, converting the first color temperature value and the second color temperature value into first xyz color coordinates and second xyz color coordinates based on a conversion relation from color temperature to color coordinates, and converting the first illumination value and the second illumination value into first brightness and second brightness based on a preset illumination to brightness conversion proportion; converting the first XYZ color coordinate and the first brightness into first XYZ tristimulus values, converting the second XYZ color coordinate and the second brightness into second XYZ tristimulus values, and respectively adding X, Y, Z tristimulus values of the first XYZ tristimulus values and the second XYZ tristimulus values to obtain total XYZ tristimulus values; converting the total XYZ tristimulus values into total XYZ color coordinates, further converting the total XYZ tristimulus values into total color temperature, and meanwhile, adding the first illumination and the second illumination to obtain total illumination; and finally, calculating the grading value of each factor of the individual according to the total illuminance, the total color temperature value, the calculated illuminance gradient and the calculated illuminance uniformity value.

Preferably, 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 an office position and an aisle,

the light color sensor in the fixed light color detection module is contained in a spherical crown-shaped light taking ball with a reflective coating on the inner side, the light taking ball is connected to the fixed seat through a support column, the top of the light taking ball is provided with a plurality of small lighting holes, a connecting piece is arranged at the joint of the light taking ball and the support column, the outer side end part 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 being closed,

the indoor light color detection module adopts a movable light color detection module hung 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 extraction straight barrel, the light extraction straight barrel is connected to a 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 transverse rolling directions and pitching directions,

the control unit is further configured to:

setting an illumination test point on each office position and every distance of the office passage, controlling the first rotating shaft and the second rotating shaft in the mobile light color detection module to rotate, enabling the light taking straight barrel to be aligned with the preset illumination test point in sequence, processing the sensing signals of the light color sensor to obtain the color temperature and the illumination value of the illumination test point of each office position and the passage,

Through teaching, the rotation angles of the first rotating shaft and the second rotating shaft are changed for a plurality of times, and the rotation angles of the first rotating shaft and the second rotating shaft are recorded when the light extraction straight barrel is aligned to each preset illumination test point.

Preferably, the system further comprises a curtain opening detecting unit connected with the control unit, the control unit processes and acquires the curtain opening based on the sensing signal of the curtain opening detecting unit,

the curtain opening detection unit comprises a curtain opening sensor which is linked with a curtain rotating module,

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

in an off-line state, under different window curtain opening degrees, respectively acquiring the inner light intensity and the outer light intensity of the window by using the fixed light color detection modules at the inner side and the outer side of the window, recording the corresponding inner light intensity, the corresponding outer light intensity and the corresponding window curtain opening degree by using a mapping table of the inner light intensity and the outer light intensity of the window,

And in an on-line 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 curtain opening by searching the light intensity mapping table inside and outside the window.

Preferably, in the multi-objective optimization process, the user total score value f ₁ Also to be multiplied by the illumination coefficient eta ₁ ，

E is the average value of the illuminance of the office table top of all the current office users, and aE is the upper limit value of a section which is obtained according to statistics and covers the illuminance value of the number of people with a set proportion and a satisfactory score;

the illuminance uniformity score f ₃ The evaluation was performed as follows,

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

the illuminance gradient score value f ₄ The evaluation was performed as follows,

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

Preferably, each preset parameter in the multi-objective optimization process is adjusted according to a time period or a scene mode,

the time period comprises daytime, evening, weekend, lunch, start of working, close to working, tea rest and the like,

The scene modes comprise working, temporary stop, overtime, cleaning, safety, discussion and the like,

and when the parameter optimizing is carried out by using a multi-objective optimizing algorithm in the time period or the scene mode, calculating the grading value of each factor according to the adjusted preset parameter.

Still another technical solution of the present invention is to provide an open office lighting control method, which includes the steps of:

s1, initializing, establishing a dimming illumination distribution model, a photochromic scoring model and a user registry in a control unit,

the adjustable light lamp set arranged in the office comprises a plurality of top lamps adopting LED lamps, each LED lamp is provided with at least one LED string with adjustable color temperature and brightness,

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

the light color scoring model comprises a light color scoring function and a light color scoring table of each office user, wherein each record of the light color scoring table comprises an office time period, a color temperature, illumination and a scoring value, the light color scoring function comprises an aisle illumination uniformity scoring function and illumination gradient scoring functions among all the rows of aisles,

The user registry comprises a user identification number, a user identity identification feature and an office location number;

s2, under the environment without natural light, a dimming module and an output module of a control unit send dimming signals to each LED string of the dimmable lamp set in a stepping change mode, each lighting environment after the dimming is changed acquires signal samples, n paths of LED string driving current values in the dimming signals are extracted, color temperature and illumination values at each test point are acquired and processed, the current, the color temperature and the illumination values are recorded and stored in a dimming illumination distribution table,

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

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

s3, determining a strategy of encoding and decoding driving current parameters of each LED string in a multi-objective optimization algorithm, determining respective value intervals, and determining parameters such as population scale, cross probability, variation probability and the like in optimization calculation;

S4, under the on-line control state, when the preset condition is met, adopting a multi-objective optimization algorithm to optimize the current parameters of each LED string,

firstly, acquiring a light color parameter of current natural light based on the opening of a curtain and a detection signal of a fixed light color detection module at the outer side of a window, acquiring current time, and detecting a current user in place through a position identification unit;

s5, performing optimization treatment, and randomly generating an initial population;

s6, decoding to obtain n paths of LED string driving current parameters aiming at each body in the evolutionary population in the search space, searching a dimming illumination distribution table through multidimensional interpolation according to the current parameters to obtain color parameters such as color temperature, illumination value and the like of corresponding artificial light at each test point, and then respectively calculating a user total score value f according to total illumination after mixing the artificial light and current natural light based on the dimming illumination distribution model, the light color scoring model and the current time period ₁ Energy saving score value f ₂ Illuminance uniformity score f ₃ Luminance gradient score value f ₄ The 4 scoring values are weighted and summed to calculate a total scoring value f corresponding to the individual,

s7, based on the total score value, performing cross genetic and mutation operation, and updating the evolution population;

S8, turning to a step S6, repeatedly iterating until searching is finished, and outputting a Pareto optimal solution;

and S9, the dimming module transmits the optimizing result to the drivers of the corresponding LED strings through the output module, and the drivers dim the LED strings by changing the driving current of the LED strings.

Preferably, the step S2 further includes:

in the off-line state, the control unit receives the registration of the office user through the user interface unit and the user identification unit, stores the 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 after the user changes the office, the photochromic scoring table is automatically read into the storage module of the control unit of the new office through the user identification unit.

Compared with the prior art, the scheme of the invention has the following advantages: aiming at the characteristics of numerous open office workers and diversified illumination demands, the invention evaluates various combinations of LED string driving currents in the lamp group by establishing a dimming illumination distribution table of the luminous LED strings in the office adjustable lamp group and a light color evaluation table for evaluating various color temperature illumination combinations of office desktops in different time periods by each user, thereby searching out driving current optimization combinations comprehensively considering indexes such as grading, power consumption, illumination uniformity, illumination gradient and the like of all in-place users under the changed natural light condition by a multi-objective optimization algorithm, and realizing dynamic and on-demand optimized illumination of the office. In addition, the invention can dynamically adjust the light emission of the lamp group according to the office duration and the sunlight change, thereby creating a natural and comfortable illumination environment for offices. The provided fixed light color detection module can eliminate the influence of direct light or shadow and the like by sampling and detecting different square points, and obtain accurate ambient light intensity.

It should be understood that all combinations of the foregoing concepts, as well as additional concepts discussed in more 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 the claimed subject matter appearing in the disclosed schemes are contemplated as part of the inventive subject matter disclosed herein.

Drawings

FIG. 1 is a flow chart of an open office lighting control method of the present invention;

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

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

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

FIG. 5a is a schematic view of an open office environment; FIG. 5b is a schematic diagram of an open office lamp set and a detection point distribution;

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

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

FIG. 8a is a schematic view of detecting the opening of a roller shutter; FIG. 8b is a schematic diagram of shutter opening detection;

FIG. 9a is a graph showing luminance coefficient functions; FIG. 9b is a graph showing the luminance uniformity scoring function; FIG. 9c is a schematic diagram of an illumination gradient scoring function;

fig. 10 is an open office lighting optimization flow chart.

Wherein:

100 open office lighting system, 110 light color sensing unit, 120 position identification unit, 130 user identification unit, 140 user interface unit, 150 control unit, 160 server, 170 adjustable ceiling lamp, 180 curtain opening detection unit,

111/112, 113 moving the light color detection module,

121 a human body detection module, wherein the human body detection module comprises a human body detection module,

151 input module, 152 light color processing module, 153 illumination optimizing processing module, 154 dimming module, 155 storage module, 156 output module,

171, 172LED strings,

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

21 a fixing seat, 22 a support post, 23 a connecting piece, 24 a light color sensor, 25 a light taking ball, 26 a small hole, 27 a dust cover, 28 a rotating shaft, 29 a light shielding sheet and 291 a driving shaft,

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

41 roller blind, 42 roller blind shaft, 43 encoder, 44 louver, 45 straight tube, 46 angle sensor, 47 rotary rod.

Detailed Description

The 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 these embodiments only. The invention is intended to cover any alternatives, modifications, equivalents, and variations that fall within the spirit and scope of the invention.

The invention is more particularly described by way of example in the following paragraphs with reference to the drawings. It should be noted that the drawings are in a simplified form and are not to scale precisely, but rather are merely intended to facilitate and clearly illustrate the embodiments of the present invention.

Example 1

Referring to fig. 1 and 2, the open office lighting control method of the present invention comprises the following steps:

s6, decoding to obtain n paths of LED string driving current parameters aiming at each body in the evolutionary population in the search space, searching a dimming illumination distribution table through multidimensional interpolation according to the current parameters to obtain color parameters such as color temperature, illumination value and the like of corresponding artificial light at each test point, and then respectively calculating a user total score value f according to total illumination after mixing the artificial light and current natural light based on the dimming illumination distribution model, the light color scoring model and the current time period ₁ Energy saving score value f ₂ Illuminance uniformity score f ₃ Luminance gradient score value f ₄ Weighted summation of the 4 scoring valuesThe total score f corresponding to the individual is obtained,

As shown in fig. 2 and 3, the open office lighting system 100 employing the control method of the present invention includes a user interface unit 140, a light color sensing unit 110, a location recognition unit 120, a user identification unit 130, a dimmable light bank and a server 160, and a control unit 150 connected to the above units. The control unit 150 further 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.

Wherein, the adjustable light lamp group adopts a plurality of adjustable light dome lamps 170 adopting LED lamps, and each adjustable light dome lamp 170 comprises a driver 171 and an LED string 172; and the LED string has a characteristic that at least one of a color temperature, a color, and a light property is adjustable and a brightness is adjustable.

The user identification unit 130 identifies the user for data collection and manipulation for the unique individual. Preferably, the user identification unit 130 may adopt one or several of the following identification modes: fingerprint recognition, iris recognition, voice recognition, face recognition, or radio frequency card recognition.

The user interface unit 140 includes a main switch, a display screen, and an operation panel for entering parameters and initiating operations, and can be placed in a management location of an office. The position identifying unit 120 adopts a human body detecting module to detect the presence information of the open office user, and determine whether there is an office user or employee at the office location at the current moment.

Preferably, the user identification unit 130 is provided on the same operation terminal as the user interface unit 140. 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 score table is entered via the user interface unit 140 and stored in the memory module, with each record of the light color score table including office time period, color temperature, illuminance, score value.

Preferably, a user identification module included in the user identification unit 130 is provided at each office location, and when a user at one office location changes, the user identification module detects the user, and sends a detection signal to the control unit to update the user registry data.

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

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

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

The open office has as the illumination source a dimmable light set mounted atop a ceiling, the dimmable light set comprising a plurality of dimmable overhead lights 170 distributed approximately in rows and columns. Corresponding to each office place, a human body detection module 121 is provided, which is included in the position recognition unit 120, and the human body detection module 121 can detect the personnel in each office place by using human body sensors such as infrared and microwave, so as to obtain all in-place personnel data of the office. In order to detect the light color parameters such as illuminance and color temperature of the test points 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 desk top or hung on the ceiling through a bracket. Referring to fig. 6, the indoor light color detection module employs the moving light color detection module 113 when in a suspended configuration.

As shown in fig. 6, the mobile light color detection module includes a light color sensor 35, the light color sensor 35 is accommodated in a cylindrical light extraction straight barrel 36, the light extraction straight barrel 36 is connected to the base 31 through a second rotating shaft 34, a connecting rod 33 and a first rotating shaft 32 in turn, and the base 31 is fixed to a ceiling through screws. The first shaft 32 and the second shaft 34 are rotated in the two orthogonal roll directions and the pitch direction, respectively.

The light color sensor 35 can adopt a silicon photocell with multiple color channels as a sensor to detect the reflected light signal of the target office desk top, and the light color processing module of the control unit also performs calibration of the intensity of the reflected light and the illuminance of the target office desk top through experiments and performs online detection of light color parameters of test points of the office desk top according to the calibration relation.

Because the movable light color 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 movable light color detection module can carry out illumination detection on a plurality of office positions around the movable light color detection module. An illumination test point is arranged on each office position of an office, and 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 control unit are sequentially aligned with the preset illumination test points, and the light color processing module processes the light color test points based on sensing signals of the light color sensors so as to obtain color temperature and illumination values of the illumination test points of each office position. Through the teaching, the rotation angles of the first rotating shaft and the second rotating shaft can be changed for many times, so that the light taking straight barrel is aligned to each preset illumination test point in sequence, meanwhile, the rotation angles of the first rotating shaft and the second rotating shaft corresponding to each illumination test point are recorded, during online detection, the record is searched, 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.

As shown in fig. 5b, the fixed light color detection modules 112 and 111 are respectively fixed at the tops of the windowsill on the inner side and the outer side of the window, and respectively acquire the illumination intensity and the light color temperature on the inner side and the outer side of the window.

As shown in fig. 7a and 7b, the fixed light color detection module includes a light color sensor 24, where the light color sensor 24 is accommodated in a spherical crown-shaped light-collecting ball 25 with a reflective coating on the inner side, the light-collecting ball 25 is connected to a fixing base 21 through a support 22, and the fixing base 21 is fixed on the top of the windowsill through a screw.

The top of the inverted light-taking ball 25 is provided with a plurality of small holes 26 for lighting, a connecting piece 23 connected with the support post 22 is arranged near the joint between the light-taking ball and the support post, and a rotating shaft 28 for rotating the dust cover 27 is arranged at the outer end part of the connecting piece 23. An arc-shaped light shielding sheet 29 which is closely attached to and moves along the cambered surface of the outer wall of the light-taking ball 25 is further arranged on the other side of the outer wall of the light-taking ball 25 opposite to the connecting piece 23, and the arc-shaped light shielding sheet 29 is driven by a wire driving shaft 291 supported on the outer wall of the light-taking ball.

In fig. 7a, the fixed light color detection module may detect, 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 required.

The fixed light color detection module 112 at the inner side of the window receives the reflected light rays from the indoor ground near the window, the light rays enter the light collecting ball through the small holes and are reflected uniformly for a plurality of times to irradiate on the light color sensor 24, and at the moment, the sampled light signals are transmitted to the light color processing module of the control unit, so that the ground light intensity at the inner side of the window is obtained. The fixed light color detection module 111 at the outer side of the window receives the reflected light from the outer side windowsill, and the light intensity of the outer side windowsill and the color temperature of the natural light are obtained after the sensor signal is processed.

Assuming that the top of the light-collecting ball is provided with S small holes 26 for lighting, under the instruction action of the light color processing module, a line driving shaft 291 in the fixed light color detection module drives an arc-shaped light shielding sheet 29 to move along the cambered surface of the outer wall of the light-collecting ball 25, so that light rays in different external directions enter the light-collecting ball through 1 to S small holes, and one small hole is added each time. After sampling by different numbers of small holes, the light color processing module processes the signals transmitted by the light color sensor 24 to obtain the ground light intensity under each sampling state, so that according to the comparison of the light intensities, abnormal small holes with the light intensity obviously deviating from the average light intensity can be screened out, such as small holes corresponding to the direct sunlight points or small holes corresponding to the shadow positions. Then, by eliminating the abnormal small holes, more accurate ground light intensity values can be obtained through signal filtering.

As shown in fig. 2, 8a, and 8b, it is preferable that a curtain opening detecting unit 180 connected to a control unit is further provided in the open office lighting system, and the control unit processes and acquires the curtain opening based on a sensing signal of the curtain opening detecting unit. The curtain opening detection unit comprises a curtain opening sensor which is linked with the curtain rotation module.

As shown in fig. 8a, the window shade preferably employs a roller blind 41, the window shade rotation module is a rotation shaft 42, and the window shade opening sensor is an encoder 43. As shown in fig. 8b, the window curtain preferably adopts a shutter blade 44, the window curtain rotating module is a rotating rod 47 fixed on a fixed seat straight cylinder 45, and the window curtain opening sensor is an angle sensor 46.

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

As shown in fig. 5b and 7a, the curtain opening may be obtained based on fixed light color detection modules 112 and 111 located inside and outside the window:

And when the window is in an off-line state, respectively acquiring the inner light intensity and the outer light intensity of the window through the fixed light color detection modules at the inner side and the outer side of the window under different window curtain opening degrees, and recording the corresponding inner light intensity, the corresponding outer light intensity and the corresponding window opening degree of the window by using one row of the inner light intensity and the outer light intensity of the window.

In an on-line state, the light intensity In inside and outside the window is respectively obtained based on the fixed light color detection modules inside and outside the window ₀ 、Iw ₀ And acquiring the curtain opening ck through searching and interpolation based on the window internal and external light intensity mapping table ₀ . First find the P (In) In the inside and outside window light intensity mapping table ₀ ，Iw ₀ ) Four points around: a (In) ₁ ，Iw ₁ )，B(In ₂ ，Iw ₁ )，C(In ₁ ，Iw ₂ ) D (In) ₂ ，Iw ₂ ) Wherein In is ₁ ≤In ₀ ≤In ₂ ，Iw ₁ ≤Iw ₀ ≤Iw ₂ The curtain opening ck0 is interpolated by using the distance as a weighted value,

wherein d ₁ Represents the shortest distance, d, from P to four points ₂ For the second shortest point, and so on, d _T Is the sum of four distances; ck (ck) ₁ The curtain opening value is the shortest distance; the four points closest to the P point to be searched are respectively added with different weights according to different distances, and the shortest distance weight is the heaviest。

Referring to fig. 5b, fig. 6 and fig. 7a, in a pure natural light environment without turning on an office lamp set, based on curtain opening detection, changing curtain opening in an off-line state, under each curtain opening, acquiring outdoor light intensity through a fixed light color detection module outside a window, simultaneously acquiring illuminance values of corresponding illumination test points through an indoor light color detection module, and recording corresponding outdoor light intensity and illuminance values of the illumination test points in a light intensity mapping table. Therefore, during on-line control, the current outdoor light intensity of natural light can be obtained based on the detection signal of the fixed light color detection module at the outer side of the window, and the second illuminance value of the natural light at each illumination test point can be obtained through searching and interpolation of the light intensity mapping table; meanwhile, a second color temperature value of natural light corresponding to each illumination test point can be obtained. And natural light corresponding to the second illuminance value and the second color temperature value is mixed with artificial light corresponding to the first illuminance value and the first color temperature value formed by the adjustable light set at each illumination test point, and the two lights are irradiated to each area of an office after being mixed.

The office is mainly day office, sometimes overtime at night. Office lighting is intended to face the complement of daytime natural light, as well as night time lighting. During the daytime, natural light enters the room through the window 11 and is blocked by the window shade 12. In general, the illuminance of the window side area is significantly stronger than that of the door side when the weather is clear. For offices with a relatively large depth, if the distribution of illuminance is not controlled well, the problem that the brightness of the window side is far greater than the brightness of the inner side is easily caused, and in such a space, staff are easily affected by the emotion of space depression. To avoid this, the illuminance distribution in the office space should be made uniform as much as possible, reducing the gradient of illuminance.

Therefore, when the illumination of the office is optimally controlled, a grading index of an illumination gradient is supplemented in the process of optimizing the illumination distribution. Because the light color scoring preference of each user on the office position is different, and the test points on the aisles correspond to the overall illumination effect of the office, the illumination gradient is the illumination gradient value of each row of aisles along the parallel lines of the window, namely, the average illumination value of the test points on each row of aisles parallel to the window is obtained; and then, from a row adjacent to the window to the inner side, differentiating the illumination mean value of the row from the illumination mean value of the aisle of the previous row by row.

For the adjacent area of the working surface of the corridor, if the target illumination of the office position where the office staff is out of place is simply set to be too low in optimizing illumination and even the corresponding illumination lamp is turned off, light spots which are bright and dark are easily formed on the corridor, which is very unfavorable for the working of other office staff and greatly reduces the illumination comfort of the office staff. For this purpose, the illumination uniformity of the aisle is also included in the illumination optimization objective. Generally, the uniformity of illumination around the vicinity of the work surface should not be less than 0.5.

Referring to fig. 2, 3 and 4, in the environment without natural light, 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 group consisting of a dimmable dome lamp 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 combined to emit light and illuminate; and storing the dimming illumination distribution table in a storage module. Based on the dimming illumination distribution table and the photochromic scoring table of each office user in place, the user scoring value can be calculated for the illumination effect corresponding to different value combinations of each LED string in the dimmable lamp group.

Therefore, based on the dimming illumination distribution table, the light color evaluation table and the current time, the illumination optimization processing module 153 optimizes the driving current values of each LED string of the dimmable light group in a spatial range of the driving current values through a multi-objective optimization algorithm, and transmits the optimizing result to the driver of the corresponding LED string through the dimming module and the output module. The multi-objective system comprises 4 scoring indexes such as total scoring of users, energy conservation, illumination uniformity, illumination gradient and the like of the current illumination effect, wherein the scoring of each LED string driving current combination in the optimizing process is based on the evaluation of total illumination after the driving current combination corresponds to light emission and current natural light mixing. The total score of the users is the sum of the scores of all the in-place office users.

In the off-line state, the dimming module 154 outputs a dimming command to the dimmable lamp set through the output module 156, wherein the dimming parameter set includes driving current values of the LED strings. Preferably, the dimmable light fixture shares n LED strings.

Referring to fig. 4 and 5b, after the LED strings emit light, the illumination in the office is represented by sampling m test points distributed in the office and the aisle, and the sensing signals are processed by the light color processing module 152 to obtain color temperature and illumination values at each test point.

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

preferably, the dimming lighting distribution table may be represented by a BP neural network, so as to realize estimation of light colors corresponding to various driving current combinations. And the BP neural network in the dimming module receives the color temperature and the illuminance value obtained after the sensing signals of the m illumination test points are processed from the input module and n paths of LED string driving current parameters which correspond to the color temperature and the illuminance value and are sent to the dimmable lamp group. When the dimming module sends dimming signals or other dimming operations to the dimmable lamp group in a stepping changing mode, collecting training sample sets formed by combining input and output quantities of the neural network under different light environments; and training the neural network offline 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 j node of the hidden layer is output as

The p-th node of the output layer outputs as

Wherein, f () function is taken as a sigmoid function, w _ij And v _jp A is the connection weight from the input layer to the hidden layer and the connection weight from the hidden layer to the output layer _j And b _p And respectively obtaining threshold values of an hidden layer and an output layer, wherein p=1, 2, & gt, 2m, k are node numbers of the hidden layer, and performing network training by adopting a gradient descent method.

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

in the processing process of the multi-objective optimization algorithm, firstly, initializing, determining a strategy for encoding driving current parameters of n paths of LED strings, and determining respective value intervals; secondly, aiming at each body in the evolution group in the search space, based on n paths of driving current parameter values, searching a dimming illumination distribution table to obtain color temperature and illumination values of corresponding artificial light at each test point, calculating the color temperature and illumination values of the total illumination of the artificial light and the current natural light after mixing light at each test point, searching all light color scoring tables corresponding to users corresponding to the test points of the users in place according to the calculated color temperature and illumination values of each test point and the current time period to obtain independent scores of the users in place, and summing the independent scores to obtain a user total scoring value f corresponding to the individual ₁ The method comprises the steps of carrying out a first treatment on the surface of the Then, an energy saving score f is calculated from the power consumption ₂ 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, and then the illuminance uniformity scoring value f is calculated according to the set scoring function ₃ Illuminance gradient score value f ₄ The 4 scoring values are weighted and summed to calculate a total scoring value f=k corresponding to the individual ₁ ·f ₁ +k ₂ ·f ₂ +k ₃ ·f ₃ +k ₄ ·f ₄ Wherein k is _i (i=1, 2,3, 4) is a preset weighting coefficient, and genetic, crossover and mutation operations are performed according to the total score value, and the evolutionary population is updated; then repeatedly evolving the population until the optimization is finishedAnd then outputting an optimizing result.

On the basis of light color parameter detection, a scoring function of illuminance uniformity and illuminance gradient is defined according to the requirement of the office on illumination.

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

wherein U is the current illuminance uniformity of an office aisle, bU is a reference value set according to a 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 office aisle, the bU value is 0.5 or higher, and the aU value is between 0.35 and 0.45 according to the general standard.

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

Preferably, D is between 5 and 20 lux/m.

Preferably, D has a value of 15 lux/m.

The system calculates the user score based on the office desktop light color preference of each in-place user, so that the personalized illumination requirement is reflected; besides the personalized requirement, all users share the same office space, so that the lighting effect corresponding to the optimizing parameter can be scored and adjusted from the overall brightness of the office. As shown in connection with FIG. 9a, the user is preferably given an overall score value f ₁ Also to multiply the illumination coefficient eta ₁ ，

f ₁ ′＝f ₁ ·η ₁ ，

Wherein E is the average value of the illuminance of the office table of all the current office users, aE is the upper limit value of the interval covering the illuminance value of the number of people with a set proportion and satisfactory scores, eta ₁ To adjust the coefficient f ₁ And f ₁ ' total score values of users before and after adjustment, respectively.

Preferably, the set ratio is a value of 0.85 to 0.95.

Preferably, aE is between 500 and 800 Lx.

Preferably, aE takes a value of 650Lx.

Preferably, the total user scoring value f is only given when the ratio of the number of in-place users to the total number of users exceeds a set value ₁ Multiplying by the illuminance coefficient eta ₁ The method comprises the steps of carrying out a first treatment on the surface of the Preferably, the set value of the duty ratio is 70%.

The calculation processing process of the total illumination in the multi-objective optimization processing is as follows: firstly, aiming at n paths of driving current parameter values of an 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 corresponding combinations of the dimming illumination distribution table singly emit light; obtaining a second color temperature value of the current natural light through detection signals of a fixed light color detection module at the outer side of the window, and obtaining a second illuminance value corresponding to the current natural light at each test point position through searching a light intensity mapping table based on the opening of the curtain; then, converting the first color temperature value and the second color temperature value into first xyz color coordinates and second xyz color coordinates based on a conversion relation from color temperature to color coordinates, and converting the first illumination value and the second illumination value into first brightness and second brightness based on a preset illumination to brightness conversion proportion; converting the first XYZ color coordinate and the first brightness into first XYZ tristimulus values, converting the second XYZ color coordinate and the second brightness into second XYZ tristimulus values, and respectively adding X, Y, Z tristimulus values of the first XYZ tristimulus values and the second XYZ tristimulus values to obtain total XYZ tristimulus values; converting the total XYZ tristimulus values into total XYZ color coordinates, further converting the total XYZ tristimulus values into total color temperature, and meanwhile, adding the first illumination and the second illumination to obtain total illumination; and finally, calculating the grading value of each factor of the individual according to the total illuminance, the total color temperature value, the calculated illuminance gradient and the calculated illuminance uniformity value.

Preferably, the luminance-to-brightness conversion ratio is determined according to the sensor characteristics adopted by the light color sensing unit.

For a daytime executive, constant light is difficult to dynamically regulate melatonin secretion, and the state can disturb the physiological clock of the executive when the state is continued. Therefore, the invention adopts a method of dynamically adjusting the scoring index, so that the optimized illumination environment can simulate the change of sunlight color, and the biological rhythm of office staff can be kept in a coordinated state.

f ₁₀ ′＝f ₁₀ ·(1+η)，

η＝α·sim(K，Know)+(1-α)·sim(L，Lnow)，

Preferably, the Know and Lnow are obtained by detecting and post-processing natural light through a fixed light color detection module at the outer side of the window; preferably, the Know, lnow calculates the acquisitions from weather predictions obtained from the weather forecast server 160.

In addition, experiments show that long-time work is easy to cause fatigue and tired, and blue component in high-color-temperature light is high, so that the warning capability of a user is improved, and the user is kept in a concentrated state. For this reason, cumulative operating time and color temperature factors are embodied in the light color score.

Continuously detecting whether the user is in the office position through the human body detection module corresponding to the office position, and obtaining continuous working time of the user through accumulation, wherein the control unit is further configured to:

f ₁₀ ′＝f ₁₀ ·η，

where t is in minutes, K is the color temperature of the light to be scored, K _S For a set intermediate colour temperature value, e.g. K _S The value is 4500K, eta is the adjustment coefficient, f ₁₀ And f ₁₀ ' are scoring values before and after adjustment, respectively.

Preferably, when the scheme of the invention is used for automatic optimization control of illumination, the switching of different illumination parameters is carried out 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, each optimization control is performed with a set period therebetween.

Preferably, natural light intensity is detected through a fixed light color detection module at 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 between 3 and 15%, and the threshold value corresponding to cloudy days is smaller than that of sunny days.

Preferably, the control unit may also acquire sunlight intensity prediction data from the server 160 and start the optimization control according to the amount of change in sunlight intensity.

Preferably, the optimization control is started when a new in-place user exists; preferably, the optimization control is performed again when an on-site user leaves the office for more than a preset period of time.

Preferably, the adjustable light lamp group comprises two LED strings with 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 (i 1, i 2) to color temperature and illumination 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 optimizing result of the multi-objective optimizing 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 performed by a multi-objective optimization algorithm in the time period, the scoring value of each factor is calculated according to the adjusted preset parameter.

Preferably, the time period includes daytime, evening, weekend, lunch, start of work, approach to work, tea rest, and the like.

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 scoring 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 mode includes on duty, off duty, pause, overtime, cleaning, security, discussion, and the like.

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

s1, establishing a dimming illumination distribution table of an office adjustable lamp group, a light intensity mapping table from an outside-window light color detection module to illumination of m illumination test points in the office, establishing a light color scoring table for each office user,

for n driving current values of the dimmable lamp set, an overall evaluation function F is established,

wherein k is _i For the set weighting coefficient f _i For each factor evaluation value, i=1, 2,3,4, f _i The light source set formed by each LED string of the adjustable light set and the single factor grading value corresponding to the combination of the total luminous illuminance and the total luminous color temperature two light color parameters when the ambient natural light is mixed for illumination,

wherein f ₁ For the total value of credit, f ₂ To be the energy-saving grading value, f ₃ For the illuminance uniformity score value, f ₄ For the value of the illumination gradient score,

s2, initializing parameters such as population scale, cross probability, variation probability and the like, and determining a value interval and coding strategy of N paths of driving current parameters of the dimmable lamp group and the number N of replaced by the global Pareto optimal solution in each generation of population _rp ；

S3, generating an initial population P (0) randomly for the current driving current set to be optimized by the generation number k=0;

s4, let k=k+1; if the ending condition is reached, turning to S11, otherwise, continuing to step;

s5, decoding all individuals in the current generation group P (k-1) to obtain n paths of driving current values, searching a dimming illumination distribution table through multidimensional interpolation according to the current values to obtain color temperature and illumination values of corresponding artificial light at each test point, calculating the color temperature and illumination values of the total illumination of the mixed artificial light and the current natural light corresponding to each test point according to the color temperature and illumination values, and searching a light color evaluation table corresponding to a user corresponding to each test point of an in-place user according to the calculated color temperature and illumination values of each test point and the current time period to obtain each userSumming the independent scores to obtain a total user score f corresponding to the individual ₁ The method comprises the steps of carrying out a first treatment on the surface of the Then, an energy saving score f is calculated from the power consumption ₂ The illuminance gradient and illuminance uniformity values of each row of test points along the parallel lines of the window are obtained through calculation, and then the illuminance uniformity scoring value f is calculated respectively ₃ Illuminance gradient score value f ₄ According to f _i Comparing to obtain the Pareto optimal solution set PT of the current generation _k And updates the global Pareto optimal solution set PT _g ；

S6, if PT _k Number of individuals of the set N (PT _k ) For odd numbers, randomly select an individual to add to PT _k The collection can be mutually matched to calculate PT in the current generation group _k The overall evaluation function F value of each individual outside the collection is selected according to the F value of each individual by the roulette method _k ) A pair of parent bodies,/2; the resulting parent population is P' (k);

s7, performing crossing and mutation operation on individuals in P '(k) to generate a population P' (k);

s8 for PT in P' (k) _k If the total evaluation function F value of the child individuals of the set cannot be better than that of the parent individuals, the parent individuals are used for generating back generation to obtain a group P' "(k);

s9, non-PT in P' "(k) _k N of set children _rp Randomly replacing individual individuals by global Pareto optimal solution individuals to generate a next generation group P (k);

s10, turning to the step S4;

and S11, after the optimization is finished, selecting a solution with the optimal value of the overall evaluation function F based on the obtained Pareto optimal solution set, and storing and outputting the optimal solution. While the embodiments of the present invention have been described above, these embodiments are presented by way of example and do not limit the scope of the invention. These embodiments may be implemented in various other modes, and various omissions, substitutions, combinations, and modifications may be made without departing from the spirit of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are also included in the invention described in the claims and their equivalents.

Claims

1. An open office lighting system comprises a user interface unit, a photochromic sensing unit, a position identification unit, a user identity identification unit, a dimmable light group and a server, and a control unit connected with the user interface unit, the photochromic sensing unit, the position identification unit, the user identity identification unit, the dimmable light group and the server,

the user interface unit comprises a main switch, a display screen and an operation panel, is used for typing 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 an office place and a passageway, wherein the light color detection module is used for detecting the light intensity and the color temperature of natural light, the illuminance and the color temperature light color parameters of each illumination test point,

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 is configured to:

the input module respectively obtains color temperature and illumination signals of a plurality of illumination test points of the open office and personnel in-place signals of each office from a light color sensing unit and a position identification unit of the system,

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

in an off-line state, receiving the registration of the office user through the user interface unit and the user identity recognition unit, and storing a user registration table in the storage module; in a pure natural light environment, a light intensity mapping table is obtained by calibrating sensing signals of a fixed light color detection module at the outdoor side of a window and an indoor light color detection module under different window curtain opening degrees and is stored in a storage module,

for each registered user, a light color scoring table is input through the user interface unit and stored 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 a dimming illumination distribution table of each LED string by changing the driving current value of each LED string of the dimming dome lamp in an office and recording the color temperature value and the illumination value of each illumination test point when the corresponding LED strings are combined to emit light and illuminate, and stores the dimming illumination distribution table in the storage module,

and during on-line control, the processing module acquires the light color parameters of the current natural light based on the curtain opening and the detection signals of the fixed light color detection module at the outer side of the window, and searches all the light color evaluation tables corresponding to the users corresponding to the on-site user test points based on the dimming illumination distribution table and the light color evaluation tables of the office users according to the current time and the on-site user information detected by the position identification unit, obtains independent scores of the on-site users, optimizes the light color evaluation tables in the available value space range of the driving current values of each LED string of the adjustable light group through a multi-objective optimization algorithm, and transmits the optimizing result to the drivers corresponding to the LED strings, wherein the score of the driving current combination of each LED string in the optimizing process is based on the total illumination after the light emitting and the current natural light mixing.

2. The system according to claim 1, wherein in the processing of the multi-objective optimization algorithm, when the current time falls within the range of 7 am to 6 pm, the independent scoring value of each on-site user is further adjusted according to the similarity between the light color parameter to be scored and the current daylight color:

f ₁₀ ′＝f ₁₀ ·(1+η)，

η＝α·sim(K，Know)+(1-α)·sim(L，Lnow)，

3. The open office lighting system of claim 1, wherein the location recognition unit is configured to detect whether the user is at a desk location and to continuously detect the user and to accumulate continuous operating time of the user, the control unit further configured to:

f ₁₀ ′＝f ₁₀ ·η，

where t is in minutes, K is the color temperature of the light to be scored, K _S For the set intermediate color temperature value, eta is an adjustment coefficient, f ₁₀ And f ₁₀ ' are scoring values before and after adjustment, respectively.

4. An open office lighting system according to claim 1, wherein the dimmable dome lamp comprises two strings of LEDs of high color temperature and low color temperature, one for each string of LEDs, the dimming lighting profile being a mapping table of two channel current values (i 1, i 2) combined to color temperature, luminance values of each test point,

5. The open office lighting system of claim 1, wherein each record of the dimming lighting distribution table comprises n LED string driving current values of the dimmable lamp unit, and color temperature and illuminance values obtained after the corresponding m illumination test point sensing signals sampled by the light color sensing unit are processed by the light color processing module,

the control unit is further configured to:

in the processing process of the multi-objective optimization algorithm, firstly, initializing, determining a strategy for encoding driving current parameters of n paths of LED strings, and determining respective value intervals; secondly, aiming at each body in the evolutionary population in the search space, based on n paths of driving current parameter values thereof, searching a dimming illumination distribution table to obtain color temperature and illumination values of corresponding artificial light at each test point, calculating the color temperature and illumination values of the total illumination of the artificial light mixed with the current natural light corresponding to each test point, summing the independent scores according to the calculated color temperature and illumination values of each test point and the current time period to obtain a user total score value f corresponding to the individual ₁ The method comprises the steps of carrying out a first treatment on the surface of the Then, according to the power consumptionRate calculation energy saving score f ₂ 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, and then the illuminance uniformity scoring value f is calculated according to the set scoring function ₃ Illuminance gradient score value f ₄ The 4 scoring values are weighted and summed to calculate the overall scoring value f=k corresponding to the individual ₁ ·f ₁ +k ₂ ·f ₂ +k ₃ ·f ₃ +k ₄ ·f ₄ Wherein k is _i (i=1, 2,3, 4) is a preset weighting coefficient, and genetic, crossover and mutation operations are performed according to the overall grading value, and the evolutionary population is updated; and repeatedly evolving the population until the optimization is finished, and outputting an optimization result.

6. The open office lighting system of claim 5, wherein the total illumination calculation process is:

7. An open office lighting system according to claim 1, wherein the light color sensing unit comprises two fixed light color detection modules respectively positioned inside and outside the window, and indoor light color detection modules corresponding to the office location and aisle,

The control unit is further configured to:

8. An open office lighting system as set forth in claim 7, further comprising a curtain opening detection unit connected to the control unit, wherein the control unit processes the acquisition of curtain opening based on the sensor signal of the curtain opening detection unit,

9. The open office lighting system of claim 5 wherein the user total score value f during the multi-objective optimization process ₁ Also to be multiplied by the illumination coefficient eta ₁ ，

the illuminance uniformityScore value f ₃ The evaluation was performed as follows,

10. An open office lighting system as claimed in claim 1, wherein the preset parameters in the multi-objective optimization process are adjusted in time periods or scene modes,

the time period comprises daytime, evening, weekend, lunch, start of working, close to working and tea rest,

the scene modes comprise working, pause, overtime, cleaning, safety and discussion,