CN112584570B - Mobile and fixed light color detection modules for open office lighting systems - Google Patents

Abstract

The invention discloses a movable and fixed light color detection module for an open office lighting system, wherein a light color sensor of the fixed light color detection module is accommodated in a light-taking ball, the top of the light-taking ball is provided with small holes in arc arrangement, and an arc-shaped light shielding sheet capable of moving along the arc surface of the outer wall of the ball is arranged opposite to the small holes. In an off-line state, detecting the light intensity of natural light formed indoors and outdoors through fixed light color detection modules at the inner side and the outer side of the window, and distributing and recording a mapping table between two quantities under different window curtain opening degrees; during on-line control, the external control unit obtains the light color parameters of each indoor test point based on the mapping table, the real-time curtain opening and the fixed light color detection module at the outer side of the window, and performs optimized illumination on the offices on the basis. The fixed light color detection module provided by the invention can eliminate the influence of direct light or shadow and the like through sampling and detecting different square points, and obtain accurate environment light intensity, thereby providing a foundation for building a natural and comfortable illumination environment.

Description

Mobile and fixed light color detection modules for open office lighting systems

This application is a divisional application of application number 201910287077.4, application date April 3, 2019, and invention name "Open office lighting system and control method and fixed light color detection module".

Technical Field

The invention patent belongs to the field of intelligent lighting, and specifically relates to a mobile and fixed light color detection module for an open office lighting system.

Background Art

In today's information age, in office buildings, the efficiency and success of employees largely depends on communication. In many cases, employees work on team projects, with each team member handling project-related tasks. Therefore, modular offices are formed accordingly. Among modular offices, open offices have been developing and are the most common, and their allowed functions and flexible structure make them the operating choice for many companies. With the advancement of working methods, most activities performed in offices include tasks that require computer processing.

For computer workplaces, it is important to ensure that the strain on the eyes from constantly switching back and forth between the screen, work materials and the surrounding environment is kept to a minimum, and the need for adjustment and adaptation to sharp contrasts should be avoided. Therefore, in open-plan offices where computers are widely used, it is important to avoid both direct and reflected glare; for example, excessive brightness contrast will cause direct glare, while reflected glare is caused by bright surfaces such as windows or lamps reflecting on the screen. If these sources of interference are not adequately limited, they will lead to fatigue, poor efficiency and personnel health problems. Therefore, these offices should optimize the arrangement of workstations relative to windows and be shielded by curtains or blinds to avoid glare.

In an open office, glare can be avoided through design and layout. But for employees, in addition to the basic requirement of anti-glare, good lighting is more important. Good office lighting can not only make the office more beautiful, but also directly affect the work efficiency of employees and the productivity of the entire company. Sufficient and reasonable lighting will make every employee feel more comfortable, while reducing the error rate and relieving eye fatigue.

There are two types of office lighting: illumination light and natural light. As time changes throughout the day, sunlight will also change constantly, so the natural light from outside varies greatly. Modern open offices often have long rows of windows and considerable room depth. For most office seats inside the office, natural light is insufficient, and many areas must be provided mainly by artificial lighting.

With the development of electrical technology and electric light source technology, the indoor working environment is increasingly moving away from the use of natural light. This trend of using artificial light sources has caused us to deviate from our existing natural biological clock with a 24-hour cycle, and because this phenomenon has been deeply integrated into our daily lives, we have forgotten the previous daily life cycle. If office workers are exposed to too little natural light every day, and long-term exposure to artificial light will inhibit the secretion of melatonin and change the physiological rhythm, and in severe cases, it may also affect the transmission of information from the body's nervous system. Therefore, in many office buildings that use energy-saving lighting systems, the illumination level does not provide enough stimulation to the physiological rhythm system, and people are easily tired, impetuous, and depressed. In the winter months, people have fewer opportunities to be exposed to sunlight, which can easily cause seasonal emotional agitation.

Vision is the most important of all five senses, so it is particularly important to ensure that the workplace is adequately lit. Moreover, in modern workspaces, we need not only the right amount of light for the tasks in the workplace, but also a series of lighting stimulations that conform to the laws of sunlight and the characteristics of human rhythm. In general offices, more than 70% of people sit in front of computers for more than 6 hours a day, and the most common symptom of physical discomfort is eye fatigue.

In the traditional constant brightness lighting control mode, if the set target brightness is insufficient and cannot provide sufficient illumination, it is easy to cause visual fatigue and even myopia. Moreover, fatigue is also related to the color temperature of the light. Lighting equipment with low color temperature can easily make people feel tired. Many people have this experience: using a warm yellow desk lamp while reading makes them 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 terms of lighting changes, a dynamically changing light color environment is more in line with the requirements of human rhythm than unchanging lighting, and can improve the user's experience.

At present, many automatic control lighting solutions have emerged for traditional switch-type office lighting. Among these existing office lighting solutions, some adopt dynamic dimming solutions, such as the Chinese invention 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. The Chinese invention patent application with patent number 2015104652846 adjusts the brightness of the lights in the area when there are people in the office, thereby improving the energy saving effect; and the Chinese invention patent application with patent number 2016106488075 further adjusts the office lighting system intelligently according to the departure or entry of different personnel. The Chinese invention patent application with patent number 2016107876858 adjusts the physiological rhythm and emotions of the human body through several preset light parameters to improve work efficiency.

These control schemes are mainly preset for several different time periods or different lighting distributions, and use program control to change the office lighting conditions in a step-by-step manner according to the preset conditions. However, office lighting is a complex system. It is mainly for employees to supplement the lighting during the daytime in the office, and also takes into account the lighting at night. The lighting experience itself is closely related to people's psychological and physiological activities. Different individuals have significantly different expectations for lighting. Moreover, the ambient light is constantly changing over time. The traditional control method of dimming in a limited number of modes cannot meet the personalized lighting needs of office employees. Therefore, an intelligent lighting system is needed that comprehensively considers the ambient light conditions, the personalized needs of employees at different office locations, and energy-saving and environmental protection indicators.

Invention patent content

There are many people in an open office. At the same time, due to the large depth of the space, there are relatively few places where sunlight can shine, and people have a strong desire for sunlight. How to make full use of natural light, solve the visual monotony, simulate artificial daylight, improve the lighting color of the desktop, and respond to the diverse individual needs of office workers are the problems to be solved by the present invention.

Office hours are almost always during the day, so artificial lighting should be designed in combination with natural lighting to create a comfortable lighting environment, taking into account nighttime lighting needs.

The above requirements need to be considered when selecting lamps and arranging designs, but in actual operation, optimized regulation is necessary to meet the lighting requirements.

The purpose of the present invention is to provide a mobile light color detection module and a fixed light color detection module set in an open office, which can obtain accurate ambient light intensity by sampling and detecting different azimuth points. In the open office lighting system to which it is applied, in an offline state, a dimming lighting distribution table of the dimmable ceiling lights in the office and a light intensity mapping table between the inside and outside lights of the windows are established, and a light color scoring table is established for each user after the office user registers; in online control, the light color parameters of the current natural light are detected, and the user score, energy saving score, illumination gradient score and illumination uniformity score of the dimmable ceiling light parameter combination to be evaluated are calculated based on the dimming lighting distribution table and the light color scoring table, and a total of four scoring factors are calculated, namely, user score, energy saving score, illumination gradient score and illumination uniformity score, and the driving current of the dimmable ceiling light is optimized through a multi-objective optimization algorithm, and the optimization result is sent to the driver to adjust the light output of the ceiling light to achieve comprehensive optimization of office lighting.

One of the technical solutions of the present invention is to provide a fixed light color detection module for an open office lighting system, which includes a light color sensor, and the light color sensor is accommodated in a spherical crown-shaped light collecting ball with a reflective coating on the inner side. The light collecting ball is connected to a fixed seat through a support, and there are several light collecting holes arranged in an arc shape on the top of the light collecting ball.

A connecting piece is provided near the connection point between the light collecting ball and the support, and a rotating shaft for rotating the dust cover is provided at the outer end of the connecting piece. The dust cover is fitted to the outer wall of the light collecting ball when closed.

On the other side of the outer wall of the light collecting ball opposite to the connecting piece, there is also a curved light shielding plate which is closely attached to and moves along the curved surface of the outer wall of the light collecting ball. The curved light shielding plate is driven by a linear drive shaft supported on the outer wall of the light collecting ball.

Preferably, the fixed light color detection module is arranged inside or outside the open office window to detect the light intensity and color temperature of the reflected light formed by natural light inside or outside the window, and is configured as follows:

The reflected light at the lighting test point enters the lighting ball through the lighting hole and is evenly reflected for multiple times before being irradiated on the light color sensor. The light color sensor transmits the sampled light signal to the light color processing module in the control unit in the open office lighting system to obtain the light intensity and color temperature parameters of the test point.

Assuming that there are S light-collecting holes on the top of the light-collecting ball, under the instruction of the light color processing module, the line drive shaft in the fixed light color detection module drives the arc-shaped light shielding sheet to move along the arc surface of the outer wall of the light-collecting ball, so that light from different directions outside enters the light-collecting ball through the 1st to Sth holes, and one hole is added each time;

After sampling through different numbers of small holes, the light color processing module processes the signal transmitted by the light color sensor to obtain the light intensity of the test point under each sampling state, and based on the comparison of the light intensity, screens out and excludes the data corresponding to the abnormal small holes whose light intensity obviously deviates from the average light intensity, and then obtains the light intensity of the light test point through signal filtering;

At the same time, experiments are also conducted to calibrate the reflected light intensity and illumination of the lighting test point, and the light color parameters of the lighting test point on the office desktop are detected online based on the calibration relationship.

Another technical solution of the present invention is to provide a mobile light color detection module for an open office lighting system, which includes a light color sensor, which is accommodated in a cylindrical light collecting tube, and the light collecting tube is connected to a base through a second rotating shaft, a connecting rod, and a first rotating shaft in sequence, and the base is fixed to the ceiling through screws; wherein the first rotating shaft and the second rotating shaft rotate and move in two orthogonal rolling directions and pitching directions respectively, and the light color sensor can use a silicon photocell with multiple color channels;

The mobile light color detection module is suspended on the ceiling above the office in the open office, and is used to detect the reflected light signals of multiple target office desks located around it, and is configured as follows:

A light test point is set at intervals in the office corridor and at each office seat, and the mobile light color detection module controls the first rotating shaft and the second rotating shaft to rotate so that the light collecting straight tube is aligned with the preset light test point in sequence;

Based on the sensing signal of the light color sensor, the light color processing module in the control unit of the open office lighting system performs processing to obtain the color temperature and illumination values of the lighting test points of each office seat and the corridor.

Preferably, the mobile light color detection module is further configured as follows:

By teaching, the rotation angles of the first rotating shaft and the second rotating shaft are repeatedly changed for multiple times, so that the light collecting straight tube is aligned with each preset illumination test point in turn, and the rotation angles of the first rotating shaft and the second rotating shaft corresponding to each illumination test point are recorded at the same time;

During online detection, the records are searched, and the two rotating shafts are controlled to rotate to corresponding angles, so as to obtain the light color parameters of each office seat and the lighting test point of the corridor in real time.

Preferably, the fixed light color detection module is further configured as follows:

In the offline state, in a pure natural light environment, at each curtain opening, the outdoor light intensity is obtained through the fixed light color detection module outside the window, and the illumination value of each corresponding light test point is obtained through the indoor mobile light color detection module, and the outdoor light intensity and the illumination value of each light test point are recorded in the established light intensity mapping table;

During online control, the control unit in the open office lighting system obtains the light color parameters of the current natural light at each lighting test point based on the light intensity mapping table, the current curtain opening and the detection signal of the fixed light color detection module outside the window; and based on the current time and the user presence information detected by the position recognition unit, based on the dimming lighting distribution table and the light color score table of each office user; and then through the multi-objective optimization algorithm, optimize the driving current value of each LED string of the dimmable lamp group within the range of the possible value space, and transmit the optimization result to the driver of the corresponding LED string to realize office lighting;

Among them, the light color scoring table and the dimming lighting distribution table are established in an offline state. Each record in the light color scoring table includes office time period, color temperature, illuminance, and scoring value. The dimming lighting distribution table is a mapping of the light illumination corresponding to the color temperature value and illuminance value of each lighting test point when different driving current value combinations of each LED string of the dimmable ceiling lamp in the office without natural light environment; the scoring of each LED string driving current combination in the optimization process is based on the light output corresponding to the driving current combination and the total illumination after mixing with the current natural light.

Preferably, the fixed light color detection module is further configured as follows:

In the calculation and processing process of the total illumination, first, for the n-channel driving current parameter values of the individuals, the dimming lighting distribution table is searched to obtain the first color temperature value and the first illuminance value of each of the m test points when the corresponding combination emits light alone; the second color temperature value of the current natural light is obtained through the detection signal of the fixed light color detection module outside the window, and based on the curtain opening, the second illuminance value of the current natural light at each test point position is obtained by searching the light intensity mapping table; then, based on the conversion relationship from color temperature to color coordinates, the first and second color temperature values are converted into first and second xyz color coordinates, and based on the preset illuminance to brightness conversion ratio, the first and second color temperature values are converted into first and second xyz color coordinates. The first and second illuminance values are converted into first and second brightnesses; the first xyz color coordinates and the first brightness are converted into first XYZ tristimulus values, the second xyz color coordinates and the second brightness are converted into second XYZ tristimulus values, and the X, Y, and Z tristimulus values of the first and second XYZ tristimulus values are added together to obtain a total XYZ tristimulus value; the total XYZ tristimulus value is converted into a total xyz color coordinate, and further converted into a total color temperature, and at the same time, the first and second illuminances are added together to obtain a total illuminance; finally, the individual factor score values are calculated according to the total illuminance, the total color temperature value, and the calculated illuminance gradient and illuminance uniformity value.

Preferably, the fixed light color detection module is further configured as follows:

In offline state, at different curtain openings, the fixed light color detection modules inside and outside the window are used to obtain the light intensity inside and outside the window respectively, and a window inside and outside light intensity mapping table is used to record the corresponding window inside light intensity, window outside light intensity and curtain opening.

When in the online state, the fixed light color detection modules inside and outside the window respectively obtain the light intensity inside and outside the window, and obtain the curtain opening by searching the window internal and external light intensity mapping table.

Preferably, the search process is as follows:

Assume that the light intensity distribution inside and outside the window obtained by the fixed light color detection modules inside and outside the window is In ₀ and Iw ₀ , and obtain the curtain opening ck ₀ by searching and interpolating based on the window internal and external light intensity mapping table,

First, find four points around P(In ₀ , Iw ₀ ) in the window internal and external light intensity mapping table: A(In ₁ , Iw ₁ ), B(In ₂ , Iw ₁ ), C(In ₁ , Iw ₂ ) and D(In ₂ , Iw ₂ ), where In ₁ ≤In ₀ ≤In ₂ , Iw ₁ ≤Iw ₀ ≤Iw ₂ , and the curtain opening ck ₀ is interpolated using the distance as the weighted value.

Among them, _d1 represents the shortest distance from P to the four points, _d2 is the second shortest point, and so on. _dT is the sum of the four distances; _ck1 is the curtain opening value of the point with the shortest distance; the four points closest to the point P to be found are given different weights according to the length of the distance, and the one with the shortest distance has the heaviest weight.

Preferably, the fixed light color detection module is further configured as follows:

The natural light intensity is detected by the fixed light color detection module outside the window. Multi-objective optimization and drive current adjustment are performed again only when the light intensity change exceeds a set threshold. The threshold is between 3% and 15%, and the threshold corresponding to cloudy days is smaller than that for sunny days.

Preferably, the mobile light color detection module is further configured as follows:

In the offline state, in a pure natural light environment, at each curtain opening, the outdoor light intensity is obtained through the fixed light color detection module outside the window, and the illumination value of each corresponding light test point is obtained through the mobile light color detection module indoors, and the outdoor light intensity and the illumination value of each light test point are recorded in the established light intensity mapping table;

During online control, the control unit in the open office lighting system obtains the light color parameters of the current natural light at each lighting test point based on the light intensity mapping table, the current curtain opening and the detection signal of the fixed light color detection module outside the window; and based on the current time and the user presence information detected by the position recognition unit, based on the dimming lighting distribution table and the light color score table of each office user; and then through the multi-objective optimization algorithm, optimize the driving current value of each LED string of the dimmable lamp group within the range of the possible value space, and transmit the optimization result to the driver of the corresponding LED string to realize office lighting;

Among them, the light color scoring table and the dimming lighting distribution table are established in an offline state. Each record in the light color scoring table includes office time period, color temperature, illuminance, and scoring value. The dimming lighting distribution table is a mapping of the light illumination corresponding to the color temperature value and illuminance value of each lighting test point when different driving current value combinations of each LED string of the dimmable ceiling lamp in the office without natural light environment; the scoring of each LED string driving current combination in the optimization process is based on the light output corresponding to the driving current combination and the total illumination after mixing with the current natural light.

Preferably, in the multi-objective optimization process, the user total score f ₁ is further multiplied by the illumination coefficient η ₁ ,

Wherein, E is the average illuminance of the desks of all currently occupied office users, and aE is the upper limit of the illuminance value range obtained based on statistics and covering the set proportion of people with satisfactory scores;

The illumination uniformity score f ₃ is calculated according to the following score function:

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

The illumination gradient score f ₄ is calculated according to the following score function:

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

Preferably, the dimmable ceiling light includes two LED strings, high color temperature and low color temperature, and each LED string corresponds to a driving current channel. The dimming lighting distribution table is a mapping table of a dual-channel current value (i1, i2) combined to the color temperature and illumination value of each test point.

In the processing of the multi-objective optimization algorithm, for the combination of dual-channel current values (i01, i02) corresponding to each individual in the evolutionary population, the color temperature and illumination value of each test point are obtained by interpolating and searching in the mapping table;

The ceiling lamp adjusts the driving current value of each LED string inside it through a driver, and the optimization result of the multi-objective optimization algorithm is the PWM wave duty cycle value of the LED string driving current.

Preferably, each preset parameter is adjusted according to a time period, and when a multi-objective optimization algorithm is used to optimize parameters in the time period, the score value of each factor is calculated based on the adjusted preset parameters.

Preferably, the time period includes daytime, evening, weekend, lunch, beginning of work, near the end of get off work, coffee break, etc.

Preferably, each preset parameter is adjusted according to the scene mode, the scene is switched on the user interface unit, and when the multi-objective optimization algorithm is used to optimize the parameters in the scene mode, the score value of each factor is calculated according to the adjusted preset parameters.

Preferably, the scene modes include going to work, getting off work, taking a break, working overtime, cleaning, safety, discussion, etc.

Compared with the prior art, the scheme of the present invention has the following advantages: In view of the characteristics of large number of people and diversified lighting needs in open offices, the present invention establishes a dimming lighting distribution table of the light-emitting LED string in the dimmable lamp group in the office, and a light color scoring table for each user to evaluate various color temperature and illuminance combinations of the office desk in different time periods, and evaluates various combinations of driving currents of the LED string in the lamp group. Thus, through a multi-objective optimization algorithm, under changing natural light conditions, the optimal combination of driving currents that comprehensively considers the scores of all users in place, power consumption, illuminance uniformity, and illuminance gradient is searched, thereby realizing dynamic and on-demand optimization of lighting in the office. In addition, the present invention can also dynamically adjust the light output of the lamp group according to the duration of office work and changes in daylight, creating a natural and comfortable lighting environment for the office. The provided fixed light color detection module can eliminate the influence of direct light or shadows, etc., and obtain accurate ambient light intensity by sampling and detecting different azimuth points.

It should be understood that all combinations of the aforementioned concepts and the additional concepts discussed in more detail below (provided that such concepts are not mutually inconsistent) can be considered as part of the inventive subject matter disclosed herein. In particular, all combinations of the claimed subject matter appearing in the disclosed solution can be considered as part of the inventive subject matter disclosed herein.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a flowchart of the open office lighting control method of the present invention;

FIG2 is a structural diagram of an open office lighting system;

FIG3 is a block diagram of a control unit;

FIG4 is a schematic diagram of lighting parameter transformation in an open office;

FIG5a is a schematic diagram of an open office environment; FIG5b is a schematic diagram of the distribution of light groups and detection points in an open office;

FIG6 is a schematic diagram of the structure of a light color detection module;

Figures 7a and 7b are schematic diagrams of the structure of the window illumination detection module;

FIG8a is a schematic diagram of roller blind opening detection; FIG8b is a schematic diagram of shutter opening detection;

FIG9a is a schematic diagram of an illumination coefficient function; FIG9b is a schematic diagram of an illumination uniformity scoring function; FIG9c is a schematic diagram of an illumination gradient scoring function;

Figure 10 is a flowchart for open office lighting optimization.

in:

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

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

121 Human body detection module,

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

171 driver, 172 LED string,

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

21 fixing seat, 22 pillar, 23 connecting piece, 24 light color sensor, 25 light collecting ball, 26 small hole, 27 dust cover, 28 rotating shaft, 29 light shielding sheet, 291 line drive shaft,

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

41 rolling curtain, 42 rolling curtain shaft, 43 encoder, 44 shutter blades, 45 straight tube, 46 angle sensor, 47 rotary rod.

DETAILED DESCRIPTION

The preferred embodiments of the present invention are described in detail below in conjunction with the accompanying drawings, but the present invention is not limited to these embodiments. The present invention covers any substitution, modification, equivalent method and scheme made on the spirit and scope of the present invention.

The present invention is described in more detail in the following paragraphs by way of example with reference to the accompanying drawings. It should be noted that the accompanying drawings are all simplified and not in exact proportion, and are only used for the purpose of conveniently and clearly assisting in explaining the embodiments of the present invention.

Example 1

As shown in FIG. 1 and FIG. 2 , the open office lighting control method of the present invention comprises the following steps:

S1. Initialization: Establish the dimming lighting distribution model, light color scoring model, and user registration table in the control unit.

The dimmable lamp group arranged in the office includes a plurality of ceiling lamps using LED lamps, each of which has at least one LED string with adjustable color temperature and brightness.

The dimming lighting distribution model includes a dimming lighting distribution table for each ceiling lamp and a light intensity mapping table from the light intensity outside the window to the illuminance of m lighting test points in the office. The dimming lighting distribution table is a correspondence between the driving current values of all n-way LED strings of the dimmable lamp group and the color temperature values and illuminance values at each lighting test point in the office. The test points are distributed in the office seats and aisles and detected by the light color sensing unit.

The light color scoring model includes a light color scoring function and a light color scoring table for each office user, wherein each record in the light color scoring table includes office time period, color temperature, illumination, and scoring value, and the light color scoring function includes an aisle illumination uniformity scoring function and an illumination gradient scoring function between aisles.

The user registration form includes a user identification number, a user identification feature, and an office location number;

S2. In an environment without natural light, the dimming module and the output module of the control unit send dimming signals to each LED string of the dimmable lamp group in a step-by-step manner, collect signal samples for each lighting environment after the dimming change, extract the driving current value of the n-way LED string in the dimming signal, collect and process the color temperature and illuminance value at each test point, and record and save the current, color temperature and illuminance value in a dimming lighting distribution table.

At the same time, under different lighting conditions, office users rate the lighting conditions and record the ratings in the user's light color rating table.

In a pure natural light environment, at each curtain opening, the outdoor light intensity and the illuminance values of each indoor light test point are obtained through the fixed light color detection module outside the window in the light color sensing unit and the indoor light color detection module, and recorded in the light intensity mapping table;

S3. Determine the strategy for encoding and decoding the driving current parameters of each LED string in the multi-objective optimization algorithm, determine their respective value ranges, and determine parameters such as population size, crossover probability, and mutation probability in the optimization calculation;

S4. Under the online control state, when the preset conditions are met, a multi-objective optimization algorithm is used to optimize the current parameters of each LED string.

First, the light color parameters of the current natural light are obtained based on the curtain opening and the detection signal of the fixed light color detection module outside the window, and the current time is obtained, and the current user is detected through the position recognition unit;

S5. Then, optimization processing is performed to randomly generate an initial population;

S6. For each individual in the evolutionary group in the search space, decode and obtain the driving current parameters of the n-way LED string. According to the current parameters, the dimming lighting distribution table is searched through multi-dimensional interpolation to obtain the light color parameters such as color temperature and illuminance value of the corresponding artificial light at each test point. Then, based on the dimming lighting distribution model, the light color scoring model and the current time period, according to the total illumination after the artificial light and the current natural light are mixed, the user total score value _f1 , the energy saving score value _f2 , the illuminance uniformity score value _f3 , and the illuminance gradient score value _f4 are calculated respectively. The four score values are weighted and summed to calculate the total score value f corresponding to the individual.

S7. Based on the total score, perform crossover genetics and mutation operations to update the evolution population;

S8, go to step S6, iterate repeatedly until the search is completed, and output the Pareto optimization solution;

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

As shown in Fig. 2 and Fig. 3, an open office lighting system 100 using the control method of the present invention includes a user interface unit 140, a light color sensing unit 110, a position identification unit 120, a user identity identification unit 130, a dimmable lamp group and a server 160, and a control unit 150 to which all the above units are connected. 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.

The dimmable lamp group uses a plurality of dimmable ceiling lamps 170 using LED lamps, each of which includes a driver 171 and an LED string 172; and the LED string has the characteristics of adjustable light properties of at least one of color temperature and color and adjustable brightness.

The user identification unit 130 identifies the user to collect and operate data for a unique individual. Preferably, the user identification unit 130 can use one or more of the following identification methods: 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, which are used to input parameters and initiate operations, and can be placed in the management position of the office. The position identification unit 120 uses a human detection module to detect the presence information of the open office user and determine whether there is an office user or employee in the office at the current moment.

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

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

Preferably, a user identification module included in the user identification unit 130 is provided at each office position. When the user at an office position changes, the user identification module performs a detection, sends a detection signal to the control unit, and updates the user registration table data.

Preferably, the control unit 150 also uploads the data in the storage module to an external cloud server via a network connection. When the user changes offices, the light color rating sheet is automatically read into the storage module of the control unit of the new office via the user identification unit.

As shown in FIG3 , the light color processing module 152 includes an illumination detector and a color temperature detector. Based on the color temperature and illumination signals input from the input module 151, the color temperature detector in the light color processing module 152 obtains the color temperature value of each test point in the office after processing, and the illumination detector obtains the illumination value after processing, and then obtains the illumination uniformity of each column of aisle test points parallel to the window, and the illumination gradient value between each column of aisles. As shown in FIG5a , in each column of aisles 17 parallel to the window 11, a plurality of illumination test points are set, and the illumination uniformity value and the illumination mean value of each aisle 17 are calculated respectively; based on the illumination mean value, the illumination gradient value between each column of aisles from the window to the inside is further calculated.

As shown in FIG. 2 , FIG. 5 a and FIG. 5 b , in an open office, there are multiple rows of office seats distributed along the parallel lines of the window 11. The office seats are adjacent to each other and are divided into compartments by partitions 16. Each seat compartment has a desk 14 and a chair 15. There is an aisle 17 between the rows of office seats. The aisle 17 is basically parallel to the window and there are multiple aisles from the window to the inside. A curtain 12 is provided on the inside of the window to block the sunlight. The opening of the curtain 12 is adjusted by an automatic control module or manually. Multiple doors 13 are provided on one side of the office.

The open office uses a dimmable lamp group installed on the ceiling as the lighting source. The dimmable lamp group includes a plurality of dimmable ceiling lamps 170 approximately distributed in rows and columns. Corresponding to each office position, a human body detection module 121 included in the position recognition unit 120 is provided. The human body detection module 121 can use infrared, microwave and other human body sensors to detect the personnel in each office position, thereby obtaining the data of all the personnel in the office. In order to detect the light color parameters such as illumination and color temperature of the test points set at each office position, 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 position. The indoor light color detection module can be set on the desk of the office desk, or suspended from the ceiling by a bracket. As shown in FIG. 6, when the suspension setting is used, the indoor light color detection module uses a mobile light color detection module 113.

As shown in Fig. 6, the mobile light color detection module includes a light color sensor 35, which is accommodated in a cylindrical light collecting straight tube 36, and the light collecting straight tube 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 by screws. The first rotating shaft 32 and the second rotating shaft 34 rotate and move in two orthogonal rolling directions and pitching 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. The light color processing module of the control unit also calibrates the reflected light intensity and the illumination of the target office desktop through experiments and detects the light color parameters of the office desktop test point online based on the calibration relationship.

Since the mobile light color detection module can realize the alignment of multiple points in a two-dimensional plane by rotating two rotating shafts, a mobile light color detection module can perform light detection on multiple office positions around it. A light test point is set at each office position in the office, and the control unit controls the rotation of the first rotating shaft and the second rotating shaft in the mobile light color detection module so that the light collecting straight tube is aligned with the preset light test point in turn, and the light color processing module processes the light test point based on the sensing signal of the light color sensor to obtain the color temperature and illumination value of each office position light test point. Through teaching, the rotation angles of the first rotating shaft and the second rotating shaft can be changed multiple times, so that the light collecting straight tube is aligned with each preset light test point in turn, and the rotation angles of the first rotating shaft and the second rotating shaft corresponding to each light test point are recorded at the same time. During online detection, the record is searched, and the two rotating shafts are controlled to rotate to the corresponding angles, so that the light color parameters of each office position can be obtained in real time.

As shown in FIG5 b , the fixed light color detection modules 112 and 111 are respectively fixed on the top of the window sill inside and outside the window to obtain the light intensity and light color temperature inside and outside the window respectively.

As shown in Figures 7a and 7b, the fixed light color detection module includes a light color sensor 24, wherein 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 fixed seat 21 through a support 22, and the fixed seat 21 is fixed to the top of the windowsill by screws.

There are several small holes 26 for lighting at the top of the inverted light-collecting ball 25. A connecting piece 23 connected to the pillar 22 is provided near the connection point between the light-collecting ball and the pillar. A rotating shaft 28 for rotating the dust cover 27 is provided at the outer end of the connecting piece 23. An arc-shaped light-shielding sheet 29 is provided on the other side of the outer wall of the light-collecting ball 25 opposite to the connecting piece 23, and is closely attached to and moves along the arc surface of the outer wall of the light-collecting ball 25. The arc-shaped light-shielding sheet 29 is driven by a linear drive shaft 291 supported on the outer wall of the light-collecting ball.

In Figure 7a, the fixed light color detection module can perform detection, wherein the dust cover 27 is in an open state; and in Figure 7b, corresponding to a state where detection is not required, the dust cover 27 is closed and fits against the outer wall of the light collecting ball 25.

The fixed light color detection module 112 on the inside of the window receives the reflected light from the floor near the window in the room. After the light enters the light collecting ball through the small hole, it is evenly reflected for multiple times and illuminates the light color sensor 24. At this time, the sampled light signal is transmitted to the light color processing module of the control unit to obtain the ground light intensity on the inside of the window. The fixed light color detection module 111 on the outside of the window receives the reflected light from the outside windowsill. After the sensor signal is processed, the light intensity of the outside windowsill and the color temperature of natural light are obtained.

Assuming that there are S small holes 26 for lighting on the top of the light collecting ball, under the instruction of the light color processing module, the line drive shaft 291 in the fixed light color detection module drives the arc-shaped light shielding plate 29 to move along the arc surface of the outer wall of the light collecting ball 25, and allows light from different directions outside to enter the light collecting ball through 1 to S small holes, and one small hole is added each time. After sampling through different numbers of small holes, the light color processing module processes the signal 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 intensity, abnormal small holes whose light intensity obviously deviates from the average light intensity can be screened out, such as small holes corresponding to the direct sunlight point or small holes corresponding to the shadow. Afterwards, by excluding the abnormal small holes, a more accurate ground light intensity value can be obtained through signal filtering.

As shown in FIG. 2 and FIG. 8a and FIG. 8b, preferably, a curtain opening detection unit 180 connected to the control unit is further provided in the open office lighting system, and the control unit processes and obtains the curtain opening based on the sensing signal of the curtain opening detection unit. The curtain opening detection unit includes a curtain opening sensor linked to the curtain rotation module.

As shown in Fig. 8a, preferably, the curtain adopts a roller curtain 41, the curtain rotation module is a rotating shaft 42, and the curtain opening sensor is an encoder 43. As shown in Fig. 8b, preferably, the curtain adopts a louver 44, the curtain rotation module is a rotating rod 47 fixed on a fixed seat straight tube 45, and the curtain opening sensor is an angle sensor 46.

The roller blind shaft and the rotating rod are operated by an automatic control module or manually to rotate, thereby adjusting the opening of the curtain, so that the strong direct light entering from the window is blocked or weakened, thereby preventing outdoor glare while obtaining an appropriate amount of natural light.

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

A window inside and outside light intensity mapping table is established. When in offline state, at different curtain openings, the light intensity inside and outside the window is obtained respectively through the fixed light color detection modules inside and outside the window, and a row of the window inside and outside light intensity mapping table is used to record the corresponding window light intensity, window light intensity and curtain opening.

In the online state, the light intensity In ₀ and Iw ₀ inside and outside the window are obtained respectively based on the fixed light color detection modules inside and outside the window, and the curtain opening ck ₀ is obtained by searching and interpolating based on the light intensity mapping table inside and outside the window. First, four points around P (In ₀ , Iw ₀ ) in the light intensity mapping table inside and outside the window are found: A (In ₁ , Iw ₁ ), B (In ₂ , Iw ₁ ), C (In ₁ , Iw ₂ ) and D (In ₂ , Iw ₂ ), where In ₁ ≤In ₀ ≤In ₂ , Iw ₁ ≤Iw ₀ ≤Iw ₂ , and the curtain opening ck 0 is interpolated using the distance as the weighted value.

Among them, _d1 represents the shortest distance from P to the four points, _d2 is the second shortest point, and so on. _dT is the sum of the four distances; _ck1 is the curtain opening value of the point with the shortest distance; the four points closest to the point P to be found are given different weights according to the length of the distance, and the one with the shortest distance has the heaviest weight.

As shown in FIG5b, FIG6, and FIG7a, in a pure natural light environment without turning on the office lamp group, based on the curtain opening detection, the curtain opening is changed in an offline state. Under each curtain opening, the outdoor light intensity is obtained through the fixed light color detection module outside the window, and the illuminance value of each corresponding light test point is obtained through the indoor light color detection module, and the corresponding outdoor light intensity and the illuminance value of each light test point are recorded in the light intensity mapping table. Thus, during online control, based on the detection signal of the fixed light color detection module outside the window, the current natural light outdoor light intensity can be obtained, and the second illuminance value of the natural light at each light test point can be obtained by searching and interpolating the light intensity mapping table; at the same time, the second color temperature value of the natural light corresponding to each light test point can also be obtained. 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 dimmable lamp group at each light test point are mixed and irradiated on various areas of the office.

Offices are mainly used for work during the day, but sometimes people have to work overtime at night. The lighting in the office should be for supplementary lighting of natural light during the day, as well as nighttime lighting. During the day, natural light enters from the window 11 and enters the room after being blocked by the curtain 12. Generally speaking, when the weather is clear, the illumination on the window side is significantly stronger than that on the door side. For offices with a large depth, if the distribution of illumination is not well controlled, it is easy to cause the brightness on the window side to be much greater than the brightness on the inside. In such a space, employees are easily affected by the depressed emotions of the space. To avoid this phenomenon, the illumination distribution of the office space should be as uniform as possible and the gradient change of illumination should be reduced.

For this reason, when optimizing the illumination control of the office, an illumination gradient scoring indicator is added in the process of optimizing the illumination distribution. Since the light color scoring preferences of each user at the office are different, and the test points on the aisle correspond to the overall lighting effect of the office, the illumination gradient is the illumination gradient value of each aisle column parallel to the window, that is, the average illumination of the test points on each aisle column parallel to the window is obtained; then, from the adjacent column of the window to the inside, the average illumination of the current column is differentiated from the average illumination of the previous column of aisles.

For areas adjacent to the work surface, such as the corridor, if the target illumination of the office where the office staff is not present is simply set too low or even the corresponding lighting is turned off during the lighting optimization, it is easy to form a bright and dark light spot in the corridor, which is very detrimental to the work of other office staff and will greatly reduce their lighting comfort. For this reason, the illumination uniformity of the corridor is also included in the lighting optimization target. Generally speaking, the illumination uniformity around the area adjacent to the work surface should not be less than 0.5.

As shown in Figures 2, 3, and 4, in an environment without natural light, the dimming module 154 changes the driving current value of each LED string in the dimmable light group composed of the dimmable ceiling light 170 in the office, and records the color temperature value and illuminance value of each lighting test point when the corresponding LED string combination emits light, so as to obtain the dimming lighting distribution table of each LED string; the dimming lighting distribution table is stored in the storage module. Based on the dimming lighting distribution table and the light color rating table of each office user in place, the user rating value can be calculated for the lighting effect corresponding to different value combinations of each LED string in the dimmable light group.

Therefore, based on the dimming lighting distribution table, light color rating table and current time, the lighting optimization processing module 153 optimizes the driving current value of each LED string of the dimmable lamp group within the range of the possible value space through a 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. Among them, the multi-objective includes four scoring indicators, namely, the user's total score of the current lighting effect, energy saving, illumination uniformity and illumination gradient. The scoring of each LED string driving current combination in the optimization process is based on the evaluation of the light output corresponding to the driving current combination and the total illumination after the current natural light is mixed. The user's total score is the sum of the scores of all office users in place.

In the offline state, the dimming module 154 outputs a dimming instruction to the dimmable lamp group through the output module 156. The dimming parameter set in the instruction includes the driving current value of each LED string. Preferably, the dimmable lamp group has n LED strings in total.

As shown in FIG. 4 and FIG. 5 b , after these LED strings emit light, the illumination in the office is characterized by sampling at a total of m test points distributed in office seats and corridors. The sensing signal is processed by the light color processing module 152 to obtain the color temperature and illumination value at each test point.

In the dimming lighting distribution table, each record includes the driving current value of the n-way LED string of the dimmable lamp group, and the corresponding color temperature and illuminance value obtained after the light color processing module processes the sensor signals of the m light test points sampled by the light color sensor unit.

Preferably, the dimming lighting distribution table can also be represented by a BP neural network to estimate the light colors corresponding to various driving current combinations. The BP neural network in the dimming module receives the color temperature and illuminance values obtained after processing the sensor signals of the m lighting test points from the input module, and the n-way LED string driving current parameters corresponding to the color temperature and illuminance values sent to the dimmable lamp group. When the dimming module sends a dimming signal or other dimming operation to the dimmable lamp group in a step-by-step manner, a training sample set composed of the input and output quantities of the neural network under different light environments is collected; and the neural network is trained offline using the training sample set to adjust the connection weights of the neural network.

In the multi-objective optimization process, the n-way LED string driving current value combination to be evaluated is transmitted to the trained BP neural network, which maps the current value combination into the color temperature and illumination value of each test point and outputs them.

Preferably, the model of the BP neural network is:

The output of the jth node in the hidden layer is

The output of the pth node in the output layer is

Among them, the f() function is taken as the sigmoid function, w _ij and v _jp are the connection weights from the input layer to the hidden layer and the connection weights from the hidden layer to the output layer respectively, a _j and _bp are the hidden layer and output layer thresholds respectively, p = 1, 2, ..., 2m, k is the number of hidden layer nodes, and the gradient descent method is used for network training.

Based on the dimming lighting distribution table, the control unit is configured to perform the following processing:

In the processing of the multi-objective optimization algorithm, first, initialization is performed to determine the strategy for encoding the driving current parameters of the n-channel LED strings, and their respective value ranges are determined; secondly, for each individual in the evolutionary group in the search space, based on its n-channel driving current parameter value, the dimming lighting distribution table is searched to obtain the color temperature and illuminance value of the corresponding artificial light at each test point, and the color temperature and illuminance value of the total illumination after the artificial light and the current natural light are mixed at each test point are calculated; according to the calculated color temperature and illuminance value of each test point and the current time period, the light color score table of all users corresponding to the test points with in-place users is searched to obtain the independent score of each in-place user, and the independent scores are summed to obtain the total user score value _f1 corresponding to the individual; then, the energy saving score value _f2 is calculated according to the power consumption, and the illuminance uniformity of the test points of each column of aisles parallel to the window and the illuminance gradient value between each column of aisles are obtained by calculation, and then the illuminance uniformity score value _f3 and the illuminance gradient score value _f4 are calculated according to the set scoring function. , perform weighted summation on the four score values to calculate the total score value f= _k1 · _f1 + _k2 · _f2 + _k3 ·f3+k4· _f4 corresponding to the individual, where k _i (i=1, 2, ₃ , ₄ ) is a preset weighting coefficient, and perform inheritance, crossover and mutation operations according to the total score value to update the evolutionary population; then, repeatedly evolve the population until the optimization is completed, and output the optimization result.

Based on the detection of light color parameters and the lighting requirements of offices, scoring functions for illumination uniformity and illumination gradient are defined.

For illumination uniformity, as shown in Figure 9b, the scoring function is:

Among them, U is the current illumination uniformity of the office corridor, bU is the reference value set according to the standard, and aU is a preset lower limit value;

The illumination uniformity is taken as the ratio of the minimum illumination to the average illumination at the test point in the aisle of the office. According to general standards, bU is 0.5 or higher, and aU is between 0.35 and 0.45.

For a uniform illumination gradient, as shown in Figure 9c, the scoring function is:

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

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

Preferably, the value of D is 15 lux/m.

This system calculates the user score based on the color preference of each user's desk surface, reflecting the personalized lighting needs; in addition to personalized needs, since all users share the same office space, the lighting effect corresponding to the optimization parameter can also be scored and adjusted based on the overall brightness of the office. As shown in Figure 9a, as a preferred method, the user's total score f ₁ is also multiplied by the illumination coefficient η ₁ ,

f ₁ ′＝f ₁ ·η ₁ ,

Where E is the average illuminance of the desks of all currently occupied office users, aE is the upper limit of the interval of illuminance values obtained based on statistics and covering the set proportion of people with satisfactory scores, η ₁ is the adjustment coefficient, and f ₁ and f ₁ ′ are the total user scores before and after the adjustment, respectively.

Preferably, the set ratio is between 0.85 and 0.95.

Preferably, aE is between 500 and 800 Lx.

Preferably, the value of aE is 650Lx.

Preferably, only when the proportion of the number of users in the office to the total number of users exceeds a set value, the total user score f ₁ is multiplied by the illumination coefficient η ₁ ; preferably, the set value of the proportion is 70%.

Among them, the calculation and processing process of the total illumination in the multi-objective optimization process is as follows: first, for the n-channel driving current parameter values of the individual, the dimming lighting distribution table is searched to obtain the first color temperature value and the first illuminance value of each of the m test points when the corresponding combination emits light alone; the second color temperature value of the current natural light is obtained through the detection signal of the fixed light color detection module outside the window, and at the same time, based on the curtain opening, the second illuminance value of the current natural light at each test point position is obtained by searching the light intensity mapping table; then, based on the conversion relationship from color temperature to color coordinates, the first and second color temperature values are converted into first and second xyz color coordinates, and at the same time, based on the preset illuminance to brightness conversion ratio For example, the first and second illuminance values are converted into the first and second brightnesses; the first xyz color coordinates and the first brightness are converted into the first XYZ tristimulus values, the second xyz color coordinates and the second brightness are converted into the second XYZ tristimulus values, and the X, Y, and Z tristimulus values of the first and second XYZ tristimulus values are added together to obtain the total XYZ tristimulus values; the total XYZ tristimulus values are converted into the total xyz color coordinates, and further converted into the total color temperature, and at the same time, the first and second illuminances are added together to obtain the total illuminance; finally, the score values of each factor of the individual are calculated according to the total illuminance, the total color temperature value, and the calculated illuminance gradient and illuminance uniformity values.

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

For a daytime office worker, constant light is difficult to dynamically regulate melatonin secretion, and this state may disrupt the biological clock of office workers if it continues. To this end, the present invention adopts a method of dynamically adjusting the scoring index so that the optimized lighting environment can simulate the change of daylight color and keep the biological rhythm of office workers in a coordinated state.

Preferably, during the processing of the multi-objective optimization algorithm, if the current time is within the range of 7 am to 6 pm, the independent scoring values of the users in place are 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),

Among them, α is the setting coefficient, K and L are the color temperature value of the total light to be scored and the ratio of the illuminance to the preset maximum illuminance, respectively, Know and Lnow are the color temperature and relative brightness of the current daylight, respectively, and the relative brightness is the ratio of the current daylight brightness to the noon daylight brightness, the similarity function sim(,) adopts a normal distribution function or a triangular distribution function centered on the second parameter, and the amplitude of its distribution is set according to the value range of the first parameter, η is the adjustment coefficient, _f10 and _f10 ′ are the score values before and after the adjustment, respectively.

Preferably, the Know and Lnow are obtained by detecting and processing natural light through a fixed light color detection module outside the window; preferably, the Know and Lnow are calculated and obtained based on the weather forecast obtained from the weather forecast server 160.

In addition, experiments show that long hours of work can easily make people tired and sleepy, and high color temperature light has a high blue component, which helps to improve the user's alertness and keep the user focused. For this reason, the accumulated working time and color temperature factors are reflected in the light color rating.

The human body detection module corresponding to the office position is used to continuously detect whether the user is in the office position, and the continuous working time of the user is obtained by accumulation. Accordingly, the control unit is also configured as follows:

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

f ₁₀ ′＝f ₁₀ ·η,

Wherein, the unit of t is minute, K is the color temperature of the light to be rated, _KS is the set intermediate color temperature value, for example, the _KS value can be taken as 4500K, η is the adjustment coefficient, and _f10 and _f10 ′ are the rating values before and after adjustment respectively.

Preferably, when the solution of the present invention is used for automatic optimization control of lighting, the switching between different lighting parameters is transitioned in a step-by-step manner, and the switching is completed in a manner that the driving current of each LED string changes gradually within a set time.

Preferably, each optimization control is performed with a set period as an interval.

Preferably, the natural light intensity is detected by a fixed light color detection module outside the window, and is optimized again when the light intensity change exceeds a set threshold; preferably, the threshold is between 3 and 15%, and the threshold corresponding to cloudy days is smaller than the threshold for sunny weather.

Preferably, the control unit may also obtain sunlight intensity forecast data from the server 160 and initiate optimization control according to the change in sunlight intensity.

Preferably, the optimization control is started when there is a new user in place; preferably, the optimization control is restarted when an in-place user leaves the office for more than a preset period of time.

Preferably, the dimmable lamp group includes two LED strings of high color temperature and low color temperature, and each LED string corresponds to a driving current channel. The dimming lighting distribution table is a mapping table of a dual-channel current value (i1, i2) combined to the color temperature and illumination value of each test point.

In the processing of the multi-objective optimization algorithm, for the combination of dual-channel current values (i01, i02) corresponding to each individual in the evolutionary population, the color temperature and illuminance value of each test point are obtained by interpolating and searching in the mapping table;

The lamp group adjusts the driving current value of each LED string inside it through a driver, and the optimization result of the multi-objective optimization algorithm is the PWM wave duty cycle value of the LED string driving current.

Preferably, each preset parameter is adjusted according to a time period, and when a multi-objective optimization algorithm is used to optimize parameters in the time period, the score value of each factor is calculated based on the adjusted preset parameters.

Preferably, the time period includes daytime, evening, weekend, lunch, beginning of work, near the end of get off work, coffee break, etc.

Preferably, each preset parameter is adjusted according to the scene mode, the scene is switched on the user interface unit, and when the multi-objective optimization algorithm is used to optimize the parameters in the scene mode, the score value of each factor is calculated according to the adjusted preset parameters.

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

Preferably, the scene modes include going to work, getting off work, taking a break, working overtime, cleaning, safety, discussion, etc.

As shown in FIG. 1 and FIG. 10 , preferably, the multi-objective optimization algorithm is processed according to the following steps:

S1. Establish a dimming lighting distribution table for the dimmable lamp group in the office, a light intensity mapping table from the light color detection module outside the window to the illumination of m light test points in the office, and establish a light color scoring table for each office user.

For the n-way driving current value of the dimmable lamp group, an overall evaluation function F is established.

Wherein, k _i is the set weighting coefficient, _fi is the evaluation value of each factor, i=1, 2, 3, 4, and _fi is the single factor score value corresponding to the combination of the two light color parameters of the total light output illumination and the total light output color temperature when the light source set composed of the LED strings of the dimmable lamp group and the ambient natural light are mixed for illumination.

Among them, _f1 is the user's total score, _f2 is the energy saving score, _f3 is the illumination uniformity score, and _f4 is the illumination gradient score.

S2, initializing the parameters such as the evolution population size, crossover probability, and mutation probability, determining the value range and encoding strategy of the n-channel driving current parameters of the dimmable lamp group, and the number _Nrp replaced by the global Pareto optimal solution in each generation of the population;

S3, generation number k = 0, randomly generate the initial population P(0) for the current set of driving currents to be optimized;

S4, let k=k+1; if the end condition is met, go to S11, otherwise go to the next step;

S5, decoding all individuals in the current generation group P(k-1) to obtain n-way driving current values, and searching the dimming lighting distribution table through multi-dimensional interpolation according to the current values to obtain the color temperature and illuminance values of the corresponding artificial light at each test point, and then calculating the color temperature and illuminance values of the total illumination after the artificial light and the current natural light are mixed at each test point according to the color temperature and illuminance values, and searching the light color rating table of the user corresponding to each test point with an in-place user according to the calculated color temperature and illuminance values of each test point and the current time period to obtain the independent rating of each user, and summing the independent ratings to obtain the total rating value _f1 of the user corresponding to the individual; then, calculating the energy saving rating value _f2 according to the power consumption, and also obtaining the illuminance gradient and illuminance uniformity values of each column of test points along the parallel line of the window by calculation, and then respectively calculating the illuminance uniformity rating value _f3 and the illuminance gradient rating value _f4 , and obtaining the Pareto optimal solution set _PTk of this generation according to each _fi , and updating the global Pareto optimal solution set _PTg ;

S6. If the number of individuals N(PT _k ) in the PT _k set is an odd number, randomly select an individual to join the PT _k set so that they can pair up with each other, calculate the overall evaluation function F value of each individual outside the PT _k set in the current generation population, and select other (N(gp)-N(PT _k ))/2 pairs of parents according to the F value of each individual by roulette method; the resulting parent population is P′(k);

S7. Perform crossover and mutation operations on the individuals in P′(k) to generate a population P″(k);

S8. For the offspring individuals of the PT _k set in P″(k), if their overall evaluation function F value is not better than that of their parents, their parents are used for back generation to obtain the population P″′(k);

S9, randomly replace the N _rp individuals of the non-PT _k -set offspring in P″′(k) with the global Pareto optimal solution individuals to generate the next generation population P(k);

S10, go to step S4;

511. After the optimization is completed, based on the final Pareto optimal solution set, the solution with the best overall evaluation function F value is selected, and the optimal solution is saved and output. Several embodiments of the present invention are described above, but these embodiments are provided as examples and do not limit the scope of the invention. These embodiments can be implemented in various other ways, and various omissions, substitutions, combinations, and changes can be made without departing from the main purpose of the invention. These embodiments or their modifications are included in the scope or main purpose of the invention, and are also included in the invention described in the claims and their equivalents.

Claims (10)

1. A fixed light color detection module for an open office lighting system, which includes a light color sensor. The light color sensor is housed in a spherical crown photosphere with a reflective coating on the inside. The photosphere is connected to a fixed light bulb through a pillar. On the base, there are several small lighting holes arranged in an arc shape on the top of the light-taking ball. There is a connecting piece adjacent to the contact point between the light-taking ball and the pillar. The outer end of the connecting piece is provided with a rotating shaft for rotating the dust cover. The dust cover fits the outer wall of the light-taking ball when closed. On the other side of the outer wall of the light-taking ball opposite to the connecting piece, there is also an arc-shaped light-shielding sheet that is close to and moves along the arc surface of the outer wall of the light-taking ball. The arc-shaped light-shielding sheet is supported by a line on the outer wall of the light-taking ball. Drive shaft drive. 2. The fixed light color detection module for an open office lighting system according to claim 1, characterized in that the fixed light color detection module is arranged inside or outside the open office window to detect natural light in the open office. The intensity and color temperature of the reflected light formed on the inside or outside of the window are detected and configured as follows: The reflected light at the illumination test point enters the lighting ball through the lighting hole and is reflected and evenly reflected multiple times, and then shines on the light color sensor. The light color sensor transmits the sampled light signal to the open office. The light color processing module in the control unit in the lighting system is used to obtain the light intensity and color temperature parameters of the point to be measured; There are S lighting holes on the top of the light-taking ball. Under the instructions of the light-color processing module, the linear drive shaft in the fixed light-color detection module drives the arc-shaped light shield to move along the arc surface of the outer wall of the light-taking ball. Let the external light from different directions enter the lighting sphere through the 1st to Sth small holes, and add one small hole each time; After sampling through different numbers of small holes, the light color processing module processes the signal transmitted by the light color sensor to obtain the light intensity of the point to be measured in each sampling state, and based on the comparison of the light intensities, Screen out and eliminate the data corresponding to abnormal holes whose light intensity significantly deviates from the average light intensity, and then filter the signal to obtain the light intensity of the lighting test point; At the same time, experiments were also carried out to calibrate the reflected light intensity and illuminance of the lighting test point, and based on the calibration relationship, the light color parameters of the lighting test point on the office desk were detected online. 3. The fixed light color detection module for an open office lighting system according to any one of claims 1 to 2, characterized in that the fixed light color detection module is further configured to: When offline, in a purely natural light environment, at each curtain opening, the outdoor light intensity is obtained through the fixed light color detection module on the outside of the window, and the corresponding illumination of each light test point is obtained through the indoor mobile light color detection module. value, record the outdoor light intensity and the illuminance value of each light test point in the established light intensity mapping table; During online control, the control unit in the open office lighting system obtains the light color parameters of the current natural light at each lighting test point based on the light intensity mapping table, the current curtain opening and the detection signal of the fixed light color detection module outside the window; and According to the current time and the user presence information detected through the location recognition unit, based on the dimming lighting distribution table and the light color rating table of each office user; and then through a multi-objective optimization algorithm, each LED string in the dimmable lamp group Optimize the driving current value within the space range of possible values, and transmit the optimization results to the driver of the corresponding LED string to achieve office lighting; Wherein, the light color rating table and the dimming lighting distribution table are established in an offline state. Each record of the light color rating table includes office time period, color temperature, illuminance, and rating value. The dimming lighting The distribution table is the mapping of the luminous lighting corresponding to the color temperature value and illumination value of each lighting test point when the LED strings of the dimmable ceiling lights in the office have different driving current value combinations in an environment without natural light; during the optimization process, the driving current of each LED string is The score of the combination is based on the total illumination after mixing the corresponding light output of the driving current combination and the current natural light. 4. The fixed light color detection module for an open office lighting system according to claim 3, characterized in that the fixed light color detection module is further configured to: In the calculation process of the total illumination, firstly, for the n-channel driving current parameter values of individuals in the evolutionary group during the multi-objective optimization algorithm processing process, the dimming lighting distribution table is searched to obtain m corresponding combinations that emit light alone. The first color temperature value and the first illuminance value of each point of the test point; the second color temperature value of the current natural light is obtained through the detection signal of the fixed light color detection module outside the window, and at the same time, based on the curtain opening, it is obtained by looking up the light intensity mapping table Corresponding to the second illumination value of the current natural light at each test point position; then, based on the conversion relationship between color temperature and color coordinates, the first and second color temperature values are converted into the first and second xyz color coordinates, and based on The preset illumination to brightness conversion ratio converts the first and second illumination values into first and second brightness; and converts the first xyz color coordinate and first brightness into the first XYZ tristimulus value , convert the second xyz color coordinates and the second brightness into the second XYZ tristimulus value, add the X, Y, and Z tristimulus values of the first and second XYZ tristimulus values respectively to obtain the total XYZ tristimulus value. Stimulus value; convert the total XYZ tristimulus value into the total xyz color coordinate, and further convert it into the total color temperature. At the same time, add the first and second illuminance to obtain the total illuminance; finally, according to the total illuminance, total color temperature value and The calculated illumination gradient and illumination uniformity values are used to calculate the score of each factor of the individual. 5. The fixed light color detection module for an open office lighting system according to claim 1, characterized in that the fixed light color detection module is further configured to: In the offline state, at different curtain openings, the light intensity inside and outside the window is obtained through the fixed light color detection modules inside and outside the window, respectively, and a light intensity mapping table inside and outside the window is used to record the corresponding light intensity inside the window, window External light intensity and curtain opening, When in the online state, the light intensity inside and outside the window is obtained respectively based on the fixed light color detection modules inside and outside the window, and the curtain opening is obtained by searching the light intensity mapping table inside and outside the window. 6. The fixed light color detection module for an open office lighting system according to claim 5, characterized in that the search process is: Assume that the light intensity distribution inside and outside the window obtained by the fixed light color detection module inside and outside the window is In ₀ and Iw ₀ , and the curtain opening ck ₀ is obtained through search and interpolation based on the light intensity mapping table inside and outside the window. , First find the four points around P (In ₀ , Iw ₀ ) in the light intensity mapping table inside and outside the window: A (In ₁ , Iw ₁ ), B (In ₂ , Iw ₁ ), C (In ₁ , Iw ₂ ) and D(In ₂ , Iw ₂ ), where In ₁ ≤In ₀ ≤In ₂ , Iw ₁ ≤Iw ₀ ≤Iw ₂ , the curtain opening ck ₀ is interpolated using distance as a weighted value, Among them, d ₁ represents the shortest distance from P to the four points, d ₂ is the second shortest point, and so on, d _T is the sum of the four distances; ck ₁ is the curtain opening value of the shortest point; and The four closest points to the P point to be found are given different weights according to the distance, and the shortest distance has the heaviest weight. 7. The fixed light color detection module for an open office lighting system according to claim 3, characterized in that the fixed light color detection module is further configured to: The fixed light color detection module on the outside of the window detects the natural light intensity. When the light intensity changes exceeds the set threshold, multi-objective optimization and driving current adjustment are performed again. The threshold is between 3 and 15%. , and the threshold corresponding to cloudy days is smaller than the threshold for sunny weather. 8. A mobile light color detection module for an open office lighting system, which includes a light color sensor. The light color sensor is accommodated in a cylindrical light-taking straight tube. The light-taking straight tube in turn passes through the second rotating shaft and the connecting rod. The rod and the first rotating shaft are connected to the base, and the base is fixed to the ceiling through screws; wherein, the first rotating shaft and the second rotating shaft rotate and move in two orthogonal roll directions and pitch directions respectively, and the light beam Color sensors can use silicon photovoltaic cells containing multiple color channels; The mobile light color detection module is suspended on the ceiling above the office desk in the open office, used to detect the reflected light signals of multiple target office desks located around it, and is configured as follows: Set up a lighting test point at intervals in the office aisle and at each office position, and move the light color detection module to control the rotation of the first rotating shaft and the second rotating shaft so that the light-taking straight cylinder is aligned with the preset positions in sequence. The lighting test point; Based on the sensing signal of the light color sensor, the light color processing module in the control unit of the open office lighting system performs processing to obtain the color temperature and illuminance values of the lighting test points of each office and aisle. 9. The mobile light color detection module for an open office lighting system according to claim 8, characterized in that it is further configured to: Through teaching, the rotation angles of the first rotating axis and the second rotating axis are repeatedly changed multiple times, so that the light-taking straight tube is aligned with each preset lighting test point in sequence, and at the same time, the first rotating axis and the second rotating axis corresponding to each lighting test point are recorded. The rotation angle of the two rotating shafts; During online detection, the records are searched and the two rotating axes are controlled to rotate to corresponding angles to obtain the light color parameters of the lighting test points of each office and aisle in real time. 10. The moving light color detection module for an open office lighting system according to any one of claims 8 to 9, characterized in that the moving light color detection module is further configured to: When offline, in a pure natural light environment, at each curtain opening, the outdoor light intensity is obtained through the fixed light color detection module outside the window, and the corresponding illumination of each light test point is obtained through the mobile light color detection module indoors. value, record the outdoor light intensity and the illuminance value of each light test point in the established light intensity mapping table; During online control, the control unit in the open office lighting system obtains the light color parameters of the current natural light at each lighting test point based on the light intensity mapping table, the current curtain opening and the detection signal of the fixed light color detection module outside the window; and According to the current time and the user presence information detected through the location recognition unit, based on the dimming lighting distribution table and the light color rating table of each office user; and then through a multi-objective optimization algorithm, each LED string in the dimmable lamp group Optimize the driving current value within the space range of possible values, and transmit the optimization results to the driver of the corresponding LED string to achieve office lighting; Wherein, the light color rating table and the dimming lighting distribution table are established in an offline state. Each record of the light color rating table includes office time period, color temperature, illuminance, and rating value. The dimming lighting The distribution table is the mapping of the luminous lighting corresponding to the color temperature value and illumination value of each lighting test point when the LED strings of the dimmable ceiling lights in the office have different driving current value combinations in an environment without natural light; during the optimization process, the driving current of each LED string is The score of the combination is based on the total illumination after mixing the corresponding light output of the driving current combination and the current natural light.