CN109874217B - Public dormitory mixed lighting method based on anisotropic symmetrical ceiling lamp - Google Patents
Public dormitory mixed lighting method based on anisotropic symmetrical ceiling lamp Download PDFInfo
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Abstract
The invention discloses a public dormitory mixed lighting system, a public dormitory mixed lighting method and an optimization method based on an isotropic symmetrical ceiling lamp, wherein the mixed lighting system comprises a user interface unit, a dimmable lamp group, a position identification unit, a user identity identification unit, a dimming mapping unit and a control unit; the lamp group comprises an isotropic symmetrical ceiling lamp and a working table lamp, based on illumination distribution of each lamp and evaluation of light color parameters of each user in work and rest modes such as sleeping, learning and the like, the control unit optimizes the light emitting parameters of each lamp through a multi-objective optimization method, and finally converts the optimization result into driving current values through a dimming mapping unit and respectively sends the driving current values to each lamp driver to execute dimming, so that requirements of different users and different work and rest in a public dormitory on illumination are coordinated, and automatic optimization mixed illumination of the public dormitory is realized. The invention can realize the adjustment of the optimization result through the operation of the user interface unit, thereby leading the illumination effect to be more in line with the requirements of users.
Description
Technical Field
The invention relates to the field of intelligent illumination, in particular to a public dormitory mixed illumination system, a public dormitory mixed illumination method and an optimization method based on an isotropic symmetrical ceiling lamp.
Background
In schools, institutions, enterprises and public institutions in China, a large number of public dormitories or collective dormitories for single-person workers and students exist. The number of people living in these dormitories varies from two-person rooms, three-person rooms, four-person rooms, six-person rooms, and eight-person rooms. With the economic development, social progress and people-oriented embodiment, the existing dormitory apartment hardware is continuously updated, facilities are continuously improved, and the environment is continuously optimized.
Taking a student public dormitory of a school as an example, the dormitory is one of the places where most students stay for the longest time every day, and generally, students can also perform activities such as reading, learning, surfing the internet, watching television and the like besides sleeping in the dormitory. In a university dormitory, as the number of classes of repair is increased increasingly under the national policy requirements, the personal culture plans of different students in the same dormitory are very obviously different, for example, the students in the first and second classes have classes and do not have classes in the morning; in addition, the time arrangement of each person in the personalized era is characterized, so that the work and rest time is more and more uneven compared with the past time which is relatively monotonous and consistent.
In a public dormitory, differences of work and rest time and work and rest rules bring a lot of troubles for different individuals sharing the same dormitory environment. Among these disturbing factors, sound can be relieved by wearing headphones, but the contradiction of light is difficult to reconcile. For example, some people sleep early and some people learn for an hour or two after a nominal uniform light-off time, the people to learn always need to turn on the lights, and the non-adjustable light pairs can inhibit the drowsiness of the people who want to fall asleep or even make it difficult to continue falling asleep after they wake up.
In the existing research, the research on the illumination of public dormitories mainly lies in the aspects of structural design and lighting investigation. For example, the master thesis "Nanjing university student dormitory natural lighting and lighting research" 2015 of Nanjing university analyzed the lighting situation and the problems thereof in the Nanjing university student dormitory through field measurement and questionnaire research, and provided a reference for improving the dormitory lighting environment. In the lighting status survey and analysis of university in Beijing, published in the Power demand side management journal 2010, volume 12, volume 3, basic data are provided for lighting energy conservation through the survey of usage of lighting products in classrooms, libraries, dining halls and dormitories of university in Beijing, 55 and the test of illuminance of typical classrooms.
The light environment has significant influence on the physiology and the psychology of people. First, light is a necessary condition for normal people to produce vision. If sufficient light is not available, people cannot exert visual effects and cannot recognize the environment, so that judgment and behaviors of the people are influenced. This indicates that the light environment conditions are poor, which can lead to visual errors and affect normal learning or operation. Therefore, the light environment has a direct relationship with the survival and personal safety of people. In the luminous environment, the light stimulation also has great influence on the blood pressure, pulse, respiration, muscle tension and the like of the human body, and can cause the activity of the autonomic nervous system and cerebral cortex.
Secondly, on the basis that the light stimulation influences the physiological activities of the human body, the light color also influences the physiological feelings of the human body by combining with the visual experience and the life experience of the human body. For example, soft and warm light makes people feel calm, while cold and blue light makes people think intensively and think actively.
In a public dormitory, two important work and rest activities of learning and sleeping have different requirements on light, so that contradictions are generated among different individuals due to the problem of light control.
At night, when a sleeping user is ready to rest, transitional activities such as work planning and reading before sleep are often performed, and more young people can watch relaxing contents by using a smart phone or a tablet. In the stage before falling asleep, the backlight of a lamp or equipment with low color temperature and low brightness can help the body relax until the user makes a trouble and falls asleep. However, for the learning user, illumination with higher brightness and high color temperature is required to ensure the learning efficiency.
This conflict can be alleviated by turning on a small lamp such as a desk lamp, or wearing an eye mask. However, in the case of headlights, such as ceiling lights emitting light in all directions symmetrically, if the headlights are controlled only by simple switching, the contradiction between different individuals may be activated.
On the contrary, if the light emitting of the symmetrical ceiling lamps in all directions can be automatically adjusted according to activities such as learning and sleeping in the public dormitory where the symmetrical ceiling lamps and the desk lamps are used for mixed illumination, the feelings of different individuals can be taken care of, different illumination requirements can be coordinated, and the contradiction of the light requirements in the public dormitory is greatly reduced.
Based on the above factors, there is a need for a lighting system that can coordinate the needs of dormitory users according to their different work and rest activities and automatically adjust the light output of the lamp.
Disclosure of Invention
Ambient lighting has a direct impact on human life, learning, and falling asleep. People acquire information from the outside through vision and respond quickly, the work and learning efficiency is directly limited by the lighting conditions of the environment, and the maintenance of basic visual functions also depends on lighting. Meanwhile, the human body is affected by the natural rhythm of day and night, as well as other living things. The comparison research shows that the work and rest system for one day, one week, one month and one year is arranged according to the biological rhythm, so that the work efficiency and the learning performance can be improved, the fatigue is relieved, the diseases are prevented, and the accidents are prevented.
After the third type of photoreceptor cells on the retina of the human eye, intrinsic photoreceptor retinal ganglion cells, have been discovered, it has been shown that it can control the circadian rhythm of humans by producing a series of chemical-biological responses to visible radiation entering the human eye. Medical research shows that the visual system not only transmits the signal of the light of the brain, but also transmits the brightness information of the external light environment to the pinecone of the brain. The pineal gland produces melatonin to control the level of wakefulness in humans.
The dark environment stimulates the pineal gland to synthesize and release melatonin into the blood, and the bright environment suppresses the production of melatonin. Blue light in the light can inhibit melatonin secretion of pineal bodies, the blue light is strongest in daytime, and people can be spirited and shaken; the blue light is weakest at night, melatonin is secreted by pineal bodies in the brain, and the melatonin entering blood promotes the human body to be sleepy, fall asleep and deeply sleep.
Because the environmental lighting factor that influences learning efficiency and fall asleep has many sides, wherein more important have: illumination level, illumination distribution, color appearance, light and shade color, etc. And the influence degrees of the factors on the learning and falling asleep of different individuals are different.
It is a multi-factor mapping problem for what constraint relation exists between the lighting environment and the learning efficiency and the sleeping speed. To describe the relationship between them, the learning efficiency and falling asleep efficiency scores of the individual under each light color combination can be calculated by off-line data recording and statistics, and the scores are stored in a table form.
The method comprises the steps of firstly identifying work and rest activities of users in a public dormitory based on a position identification unit and a user identity identification unit, searching a light color grading table corresponding to the current activities, respectively calculating evaluation values of individuals in multi-target optimization processing, optimizing based on the evaluation values, and finally mapping light color parameters represented by the optimal individuals into driving current values of lamps. In the optimization processing, the individual takes color parameters of the respective light-emitting color temperature, color, brightness and the like of a mixed illumination lamp group consisting of the globally illuminated isotropic symmetrical ceiling lamp and the locally illuminated workbench lamp as a parameter set to be optimized; the multi-objective optimization processing comprises two stages, wherein the first stage is used for optimizing the parameters of the isotropic symmetrical ceiling lamp, and the second stage is used for optimizing the parameters of the working table lamp based on the optimization result of the first stage.
The evaluation function F based on the optimization is the weighted sum of evaluation values of users in a public dormitory, and since the photochromic parameter optimization involves a plurality of factors, the problem is a multi-objective optimization problem, and for the multi-objective optimization problem, the optimization solution is called Pareto solution. The problem is solved by a multi-objective genetic optimization algorithm, i.e. MOGA.
And obtaining the photochromic parameters with high total evaluation values after optimization and solution. Then, the dimming mapping unit maps the optimized light color parameters into driving current values of all driving current channels of the lamp group and transmits the current values to drivers in the lamp group, so that multi-demand automatic optimization illumination in a public dormitory is realized.
The dimming mapping unit converts the light color parameters into a mapping of the lamp group driving current, which may be based on various means. Firstly, a look-up table from a light color space to a driving current space generated in advance can be based on; secondly, a transformation polynomial from the light color space to the driving current space generated by least squares regression may be based.
One of the technical solutions of the present invention is to provide a public dormitory mixed lighting system based on an isotropic symmetrical ceiling lamp, which comprises: a user interface unit, a lighting lamp group, a position identification unit, a user identity identification unit, a dimming mapping unit and a control unit,
the user interface unit comprises a main switch and a plurality of user operation terminals distributed at different dormitory user positions,
the lighting lamp set comprises working table lamps and all-direction symmetrical ceiling lamps, the number of the working table lamps corresponds to the number of dormitory users, the working table lamps and all-direction symmetrical ceiling lamps have the characteristics of adjustable light property and adjustable brightness in at least one of color temperature and color,
the location identification unit is used to detect the location of the dormitory user,
the user identification unit is used for identifying the dormitory user,
the light color parameters of the working table lamp and the isotropic symmetrical ceiling lamp are mapped into the respective driving currents by the light modulation mapping unit,
the control unit is respectively connected with the user interface unit, the lighting lamp group, the position identification unit and the user identity identification unit; the control unit includes a processing module, a memory, an input-output module, and is configured to:
in an off-line state, the user interface unit and the user identity identification unit are used for receiving the registration of the dormitory user and storing a user registration form in the memory, wherein the user registration form comprises a user identification number, a user identity identification characteristic, a workbench position number and a bed position number,
for each registered user, inputting a light color scoring table through the user interface unit and storing the light color scoring table in the memory, wherein each record of the light color scoring table comprises a work and rest mode, a color temperature, a color, illumination and a scoring value, wherein one of two fields of the color temperature and the color can be empty,
an illumination distribution table is respectively arranged in the memory for each symmetrical ceiling lamp and each working table lamp in the lamp group in advance, the illumination distribution table is a conversion list from brightness to illumination, the table records different brightness of each lamp and illumination of each working table and bed in a dormitory corresponding to the brightness,
during on-line control, the processing module performs multi-objective optimization algorithm based on the lighting distribution table of the lamp group and the light color grading table of the user according to the work and rest mode input by the user from the user operation terminal and the user position detected by the position identification unit,
firstly, aiming at all sleeping users in the current dormitory, the brightness, the color temperature or the color of the isotropic symmetrical ceiling lamp are optimized in the space range of the isotropic symmetrical ceiling lamp with the value of the light color parameter,
then, aiming at all learning users in the current dormitory, after deducting the light emission corresponding to the optimization result of the isotropic ceiling lamp, the brightness, the color temperature or the color of the working table lamp are optimized in the space range of the working table lamp with the numeric parameters of the light color being capable of being taken,
the processing module transmits the optimization result to the dimming mapping unit, and the dimming mapping unit maps the optimization result into respective driving current values of the working table lamp and the isotropic symmetrical ceiling lamp and transmits the current values to the drivers of the corresponding lamps.
Preferably, each of the isotropic symmetry ceiling lamp and the desk lamp comprises two LED strings of high color temperature and low color temperature, each LED string corresponds to a driving current channel, a lookup table from a light color space formed by the brightness and the color temperature of each lamp to a two-channel driving current space of each lamp is arranged in the dimming mapping unit, and the optimization result (L) is obtained0，K0) The dual channel drive current values are obtained by interpolation in a look-up table.
Preferably, the device further comprises a photochromic sensing unit,
for each user in the public dormitory, corresponding to two work and rest modes of learning and sleeping, an artificial neural network is respectively established in the control unit, the neural network replaces a light color grading table to be used as the basis of light color grading, the input variables comprise color temperature and illumination intensity, the output variable is a light color grading value,
the control unit is further configured to:
when a neural network training sample is collected, the processing module processes the signal collected by the photochromic sensing unit, respectively obtains 2 photochromic parameters of the illumination and the color temperature of the worktable during learning and the sleeping position during sleeping respectively for two work and rest modes of learning and sleeping, and the user scores the photochromic parameters,
the processing module sends out a dimming signal to the lighting lamp group through the input and output module, repeatedly obtains a training sample set for the changed luminous environment based on the photochromic sensing unit, and carries out off-line training on the neural network based on the sample set,
during on-line control, in the multi-objective optimization algorithm processing process, the trained neural network replaces a light color grading table to calculate the light color grading values under different light color parameter conditions,
the BP neural network model is as follows:
the jth node of the hidden layer outputs
The output layer node outputs as
Wherein the f () function is taken as sigmoid function, wijAnd vjRespectively the connection weight from the input layer to the hidden layer and the connection weight from the hidden layer to the output layer, ajAnd b is respectively a hidden layer threshold value and an output layer threshold value, k is the number of nodes of the hidden layer, and a gradient descent method is adopted for network training.
Preferably, the colors of the lamps in the group of lamps are represented by color coordinates xyz,
the lamp group is an LED lamp group, the drive current values of all LED strings in the lamp group are adjusted by the isotropic ceiling lamp and the working table lamp through drivers, and the dimming signal is the PWM wave duty ratio value of the drive current of all the LED strings;
the control unit is further configured to:
in the process of optimizing the light color parameters of the working table lamp, the light output of the isotropic symmetrical ceiling lamp is deducted according to the following process:
converting the optimized color coordinates XYZ and brightness of each direction symmetrical ceiling lamp into XYZ tristimulus values, and then continuously converting the XYZ tristimulus values into XYZ tristimulus equivalent values of the working table lamp at the corresponding position based on the principle of illuminance equivalence according to the illumination distribution table of each direction symmetrical ceiling lamp and the working table lamp at each learning user position; then, when the light color parameter optimization is carried out on the working table lamp at each learning user position, the brightness and the XYZ color coordinate to be optimized are converted into XYZ tristimulus values, and are added with the XYZ tristimulus equivalent value mixed light and then converted back into the brightness and the XYZ color coordinate of the working table lamp; then the illumination of the corresponding learning user position is calculated by the brightness through an illumination distribution table of the working desk lamp, so as to obtain the grade of the light color combination consisting of the brightness to be optimized and the xyz color coordinate through index search and interpolation of a light color grade table,
alternatively, when the color of the lamps in the lamp group is represented by a color temperature, the color temperature may first be converted into color coordinates xyz.
Preferably, in the processing process of the multi-objective optimization algorithm, after the light color parameter conditions are respectively scored based on the light color scoring table of each user, the scores are weighted and summed to calculate a total scoring value, and if the current time belongs to the range from 8 am to 5 pm, the total scoring value is further adjusted according to the similarity between the light color parameters to be scored and the current daylight color:
f′＝f·(1+η)，
η＝α·sim(K，Know)+(1-α)·sim(L，Lnow)，
wherein α is a setting coefficient, K, L is two values of a color temperature value and a ratio of brightness to maximum brightness of light to be evaluated, Know and Lnow are a color temperature and a relative brightness of current sunlight, respectively, the relative brightness is a ratio of the brightness of the current sunlight to the brightness of the midday sunlight, a similarity function sim (,) adopts a normal distribution function or a triangular distribution function with a second parameter as a center, the distribution amplitude of the function is set according to a value range of the first parameter, η is an adjustment coefficient, and f' are scores before and after adjustment, respectively.
Preferably, the user interface unit includes at least one user operated terminal therein, the position recognition unit includes a position sensor corresponding to a position of each of the user stations,
the user operation terminal comprises a bottom plate, a keyboard, a display screen and a sliding input device, wherein the keyboard is used for a user in a public dormitory to input registration information and various parameters, the sliding input device is provided with a cursor,
the user operation terminal is also provided with a fingerprint input device which is included in the user identity identification unit and is used for carrying out user identity identification,
the control unit is further configured to:
in the multi-target optimization processing process, after the light color grading values of different light color parameter conditions are calculated according to the light color grading table, the grading values are adjusted according to the position of a cursor after a user operates a sliding input device:
f′＝f·(1+η·Δ)，
where L is the brightness of the light to be scored, L0The brightness of the current light corresponds to the middle position of the slide input device, and the left and right end positions respectively correspond to L when the cursor slides towards the left and right sides of the slide input device00.9 and 1.1 times the brightness, LnAnd the brightness corresponding to the cursor position after the user operates the cursor is obtained, delta is a set threshold value for carrying out grading adjustment according to the brightness, eta is an adjustment coefficient, and f' are grading values before and after the adjustment respectively.
Preferably, the position sensor is configured to detect whether the user is at the work table position and continuously detect the user and obtain the continuous learning time of the user by accumulation, and the control unit is further configured to:
in the multi-objective optimization processing process, after the light color grading values of different light color parameter conditions are calculated according to a light color grading table, the grading values are adjusted according to the continuous learning time length t and the color temperature value K:
f′＝f□η，
where t is given in minutes, K is the color temperature of the light to be evaluated, KSFor the set intermediate color temperature value, eta is the adjustment coefficient, and f' are the scores before and after adjustment, respectively.
Preferably, the user interface unit comprises at least one bed operating terminal and a photoelectric sensor corresponding to each bed position, the photoelectric sensor is used for detecting whether the bed curtain is pulled up,
the bed operation terminal comprises an upper cover plate, a lower cover plate, a sleeping key, a time knob, a branch knob and a mode key, wherein the time knob, the branch knob and the mode key are used for setting the time of getting up,
the control unit is further configured to:
when detecting that a user's button for falling asleep is pressed or a bed curtain is pulled up, setting the user's work and rest mode to fall asleep, and when all users in the public dormitory are not in the learning mode, turning off all the symmetrical ceiling lamps and all the working table lamps,
and when a certain user gets up, optimizing the light colors of the isotropic symmetrical ceiling lamp and the working table lamp through a multi-objective optimization algorithm based on the built light color scoring table of the getting up mode and the sleeping mode sub-tables in the light color scoring tables of other sleeping users, and dimming by the dimming mapping unit according to the optimizing result, wherein the scoring weight of the getting up user is set to be higher than the scoring weight of the sleeping user in the processing process of the multi-objective optimization algorithm.
In another embodiment of the present invention, a method for optimizing mixed lighting in public dormitories based on an isotropic symmetrical ceiling lamp is further provided, which includes the following steps:
y1, determining an evaluation standard,
assuming that m1 sleeping users, m2 learning users, 1 each of the isotropic ceiling lamps and m2 working table lamps to be optimized for light emitting are arranged in the public dormitory, a light color scoring table is preset in a memory for each user in the public dormitory, the light color scoring table records the scoring values of various light color parameter combinations such as color temperature, illumination intensity and the like of the user at work and rest positions in work and rest modes such as sleeping or learning and the like,
establishing a public dormitory illumination overall evaluation function F based on the isotropic symmetrical ceiling lamp,
for example, for an isotropic symmetrical ceiling lamp,
ficomprises the following steps:
when each symmetrical ceiling lamp is independently illuminated, the light-emitting brightness of each symmetrical ceiling lamp corresponds to the combination of two light color parameters of the illumination at the position of each sleeping user and the light-emitting color temperature of each sleeping user according to the illumination distribution table, the table is looked up in the sleeping mode sub-table of the light color scoring table of the ith sleeping user to obtain the scoring value,
for the working table lamp, the lamp is provided with a lamp body,
ficomprises the following steps:
when a lamp set consisting of m2 working table lamps and isotropic symmetrical ceiling lamp mixed light illumination are carried out, the combination of two light color parameters of total emergent illumination and total emergent color temperature is correspondingly checked in a learning mode sub-table of a light color grading table of the ith learning user to obtain a grading value;
y2, initializing parameters such as evolution population scale, crossover probability, variation probability and the like, determining value intervals and coding strategies of color temperature and brightness and color parameters of each symmetrical ceiling lamp and each working table lamp, and the number N of global Pareto optimal solutions to replace in each generation of populationrp，
In the first stage, a lamp to be optimized is a symmetrical ceiling lamp in all directions;
y3, wherein k is 0, and randomly generating an initial population P (0) for the current lamp or lamp set to be optimized;
y4, let k be k + 1; if the ending condition is reached, turning to the Y11, otherwise, turning to the next step;
y5, decoding all individuals in the present group P (k-1) to obtain the light color parameter, and calculating each factor evaluation value f of each individualiAnd comparing to obtain the Pareto optimal solution set PT of the present generationkAnd updating the global Pareto optimal solution set PTg；
Y6 if PTkNumber of individuals in set N (PT)k) For odd numbers, randomly selecting one individual to add to PTkCollect the PT in the group of this generationkCollecting the F value of the overall evaluation function of each individual, and selecting other (N (gp) -N (PT) according to the F value of each individual by roulette methodk) B)/2 pairs of fathers; the obtained parent population is P' (k);
y7, performing crossover and mutation operations on individuals in P '(k) to generate a population P' (k);
y8 for PT in P' (k)kThe filial individuals of the set are substituted back by the parents if the value of the overall evaluation function F cannot be better than that of the parents, so that a population P' (k) is obtained;
y9, non-PT in P' (k)kN of collection filial generationrpRandomly replacing the individuals with global Pareto optimal solution individuals to generate a next generation group P (k);
y10, step Y4;
y11, after the search is finished, selecting a solution with the optimal F value of the overall evaluation function based on the finally obtained Pareto optimal solution set, and storing the optimal solution; if the ceiling lamp and the working table lamp are optimized in all directions, turning to Y13;
y12, in the second stage, the current lamp to be optimized is a lamp set consisting of m2 working table lamps, and the step is changed to Y3;
and Y13, finishing optimization, and outputting the obtained optimal solution.
Preferably, the illuminance and the color temperature of the total outgoing light in the step Y1 are calculated and processed as follows:
t1, converting the color temperature of each symmetrical ceiling lamp and working table lamp into xyz color coordinate based on the conversion relation from color temperature to color coordinate,
t2, converting color coordinates XYZ and brightness of each direction symmetrical ceiling lamp into XYZ tristimulus values, converting the brightness Y into a first illumination at the ith learning user position according to the illumination distribution table of each direction symmetrical ceiling lamp, and changing X, Z in proportion to obtain a first XYZ tristimulus corresponding to the position,
t3, m2 working table lamps including the kth working table lamp, wherein each lamp in the set converts the color coordinate XYZ and the brightness thereof into the XYZ tristimulus value thereof, then converts the brightness Y thereof into the illumination at the position of the ith learning user according to the respective illumination distribution table, and simultaneously obtains the XYZ tristimulus transform value corresponding to the position after the X, Z thereof are changed in proportion, the sum of the illumination corresponding to all the lamps in the set is the second illumination, and all X, Y, Z tristimulus transform values are respectively added to obtain the second XYZ tristimulus value,
and T4, adding the first and second illumination intensities to obtain a total illumination intensity, adding the first and second XYZ tristimulus values to obtain a total XYZ tristimulus value, converting the total XYZ tristimulus value into a total XYZ color coordinate, further converting the total XYZ tristimulus value into a total color temperature, and searching a light color scoring table of the ith learning user according to the total illumination intensity and the total color temperature to obtain a scoring value.
Preferably, the weighting coefficients in step Y1 are further adjusted as follows:
adjusting the total score value according to the position of the cursor after the user operates the sliding input device, the continuous learning time length t and the color temperature value K:
F′＝F·(1+η·Δ)·η′，
where L is the brightness of the light to be scored, L0The brightness of the current light corresponds to the middle position of the slide input device, and the left and right end positions respectively correspond to L when the cursor slides towards the left and right sides of the slide input device00.9 and 1.1 times the brightness, LnThe brightness corresponding to the cursor position after the operation of the user, delta is a set threshold value for grading adjustment according to the brightness, the unit of t is minute, K is the color temperature of the light to be graded, and K is the color temperature of the light to be gradedSFor the set intermediate color temperature value, η and η 'are adjustment coefficients, and F' are scores before and after adjustment, respectively.
In another embodiment of the present invention, there is also provided a mixed lighting method for a public dormitory based on an isotropic symmetrical ceiling lamp, including the steps of:
s1, initializing, establishing a light distribution model and a light color grading model in the control unit,
the lighting lamp group in the public dormitory consists of an all-directional symmetrical ceiling lamp for providing global basic lighting and a plurality of working table lamps for providing local supplementary lighting, wherein the working table lamps and the all-directional symmetrical ceiling lamps have the characteristics of adjustable light property and adjustable brightness in at least one of color temperature and color,
the light distribution model is the corresponding relation from the brightness of each lamp in the public dormitory to the illumination of work and rest positions, the work and rest positions are the work and rest positions of each user in the public dormitory such as learning, falling asleep and the like,
the light color scoring model is a light color scoring table set, each user in a public dormitory is provided with a light color scoring table, and the scoring of the illumination and the color temperature/color of the light irradiated by the user at the work and rest position in different work and rest modes is recorded in the table;
s2, sending out light adjusting signal to each lamp in the lighting lamp group through the input and output module of the control unit,
when each lamp independently illuminates, samples are collected for each illumination environment after dimming change, the brightness of the lamp and the illumination of each user work and rest position are obtained at the same time and recorded and stored in a light distribution model,
when the lamps are used for mixed illumination, scoring is carried out on each illumination environment after dimming change by each user in a public dormitory, and a work and rest mode, the illumination intensity of light, color temperature/color and scoring are recorded in a light color scoring table;
s3, during on-line control, optimizing the light color parameters of each lamp by adopting a multi-objective optimization algorithm,
firstly, determining the strategy of encoding and decoding the light color parameters such as the brightness, the color temperature/color and the like of the light emitted by each lamp, determining the respective value intervals,
determining parameters such as population scale, cross probability, mutation probability and the like in optimization calculation,
the current lamp to be optimized is an anisotropic symmetrical ceiling lamp;
s4, randomly generating an initial population;
s5, decoding each individual in the evolutionary population in the search space to obtain a corresponding light color parameter, and calculating the evaluation value of each individual based on the established light distribution model and light color scoring model according to the light color parameter:
for the isotropic symmetrical ceiling lamp, the brightness in the light color parameters is converted into the illumination of the current work and rest position of each user falling asleep according to the light distribution model, the score of the user is calculated by searching and interpolation according to the light color score table of the user, then the scores of all the users falling asleep in the public dormitory are weighted and summed to calculate the total score value,
for a working table lamp, when the working table lamp to be optimized and the optimized anisotropic symmetrical ceiling lamp are illuminated in a mixed light mode, the score of each learning user is calculated through searching and interpolation according to a light color score table of the user based on the total light illumination and the total light color temperature of the total light at the current work and rest position of the learning user, and then the scores of all the learning users in the public dormitory are weighted and summed to calculate the total score;
s6, performing cross inheritance and mutation operations based on the total score value, and updating an evolutionary population;
s7, turning to the step S5, iterating repeatedly until the search is finished, and outputting a Pareto optimization solution;
s8, if the optimization of all lamps is not completed, the current lamp to be optimized is a lamp set formed by all working table lamps, and S4 is turned; otherwise, turning to S9;
and S9, the dimming mapping unit maps the optimization result into a driving current value of each driving current channel of the lamp group, and transmits the current value to the drivers of the working table lamp and the isotropic symmetrical ceiling lamp in the lamp group for dimming.
Preferably, the light distribution model adopts a lighting distribution table, in each of the symmetrical ceiling lamp lighting distribution table and the desk lamp lighting distribution table, the different brightness of each lamp and the illumination of each worktable and bed in the dormitory corresponding to the brightness are recorded, and the lighting distribution table and the light color grading table are obtained by means of electronic data reading,
the step S2 further includes:
in an off-line state, the control unit receives the registration of the dormitory user through the user interface unit and the user identity identification unit, and stores a user registration table in the memory, wherein the user registration table comprises a user identification number, a user identity identification characteristic, a workbench position number and a bed position number,
and the control unit uploads the data in the memory to an external cloud server through network connection, and after the user changes the dormitory, the light color scoring table is automatically read into the memory of the new dormitory control unit through the user identity identification unit.
Preferably, the total light-emitting illuminance and the total light-emitting color temperature in step S5 are calculated as follows:
converting the optimized color coordinates XYZ and brightness of each direction symmetrical ceiling lamp into XYZ tristimulus values, and then continuously converting the XYZ tristimulus values into XYZ tristimulus equivalent values of the working table lamp at the corresponding position based on the principle of illuminance equivalence according to the illumination distribution table of each direction symmetrical ceiling lamp and the working table lamp at each learning user position; then, when the light color parameter optimization is carried out on the working table lamp at each learning user position, the brightness and the XYZ color coordinate to be optimized are converted into XYZ tristimulus values, and are added with the XYZ tristimulus equivalent value mixed light and then converted back into the brightness and the XYZ color coordinate of the working table lamp; and calculating the illumination of the corresponding learning user position according to the illumination distribution table of the working desk lamp, thereby obtaining the grade of the light color combination consisting of the brightness to be optimized and the xyz color coordinate through index search and interpolation of the light color grade table.
Compared with the prior art, the scheme of the invention has the following advantages: aiming at the contradictory requirements of two important work and rest activities of learning and falling asleep in a public dormitory on light, based on the grading of users on light color conditions in different work and rest modes, a control unit firstly optimizes parameters of an isotropic symmetrical ceiling lamp with a wide illumination range through a multi-objective optimization algorithm, then optimizes parameters of a working table lamp only illuminating a local range based on equivalent transformation of an illumination effect, and an optimization result is converted into driving currents of all lamps in a lamp group through a dimming mapping unit and is adjusted through a driver, so that the automatic optimization of the illumination requirements of different work and rest activities in the public dormitory is realized, and the adjustment of an optimization result can be realized through the operation of a user interface unit or the comparison with the light color, so that the illumination effect is more in line with the requirements of users.
It should be understood that all combinations of the foregoing concepts, as well as additional concepts discussed in greater detail below (provided such concepts are not mutually inconsistent), are contemplated as being part of the inventive subject matter disclosed herein. In particular, all combinations of claimed subject matter appearing in the presently disclosed aspects can be contemplated as being part of the inventive subject matter disclosed herein.
Drawings
FIG. 1 is a structural diagram of a public dormitory mixed lighting system based on an isotropic symmetrical ceiling lamp;
FIG. 2 is a view showing a constitution of a control unit;
FIG. 3 is a schematic view of an illumination parameter map;
FIG. 4 is a schematic view of a lighting environment;
FIG. 5 is a schematic view of another lighting environment;
FIG. 6 is a schematic diagram of a BP neural network structure;
FIG. 7 is a schematic diagram of a user operation terminal;
FIG. 8 is a schematic view of a partial structure of a user operation terminal;
FIG. 9 is a schematic structural view of a bed operation terminal;
FIG. 10 is a schematic view of a driving structure of a lamp set;
FIG. 11 is a flow chart of optimization of mixed lighting in a public dormitory based on an isotropic symmetrical ceiling lamp;
fig. 12 is a work flow chart of a public dormitory mixed lighting method based on an isotropic symmetrical ceiling lamp.
Wherein:
100 public dormitory mixed lighting system based on the isotropic symmetrical ceiling lamp, 110 light color sensing unit, 120 position identification unit, 130 user identification unit, 140 user interface unit, 150 control unit, 160 dimming mapping unit, 170 working table lamp, 180 isotropic symmetrical ceiling lamp,
151 input output module, 152 processing module, 153 memory, 154 neural network,
21 table, 22 bed, 23 bed curtain, 24 photoelectric sensor, 25 position sensor, 26 user operation terminal, 27 bed operation terminal,
261 backplane, 262 keyboard, 263 fingerprint input, 264 display, 265 slide input, 2651 cursor,
271 upper cover plate, 272 lower cover plate, 273 falling asleep key, 274 hour knob, 275 minute knob, 276 mode key.
Detailed Description
Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, but the present invention is not limited to only these embodiments. The invention is intended to cover alternatives, modifications, equivalents and alternatives which may be included within the spirit and scope of the invention.
The invention is described in more detail in the following paragraphs by way of example with reference to the accompanying drawings. It should be noted that the drawings are in simplified form and are not to precise scale, which is only used for convenience and clarity to assist in describing the embodiments of the present invention.
Example 1
As shown in fig. 1, the public dormitory mixed lighting system 100 based on the isotropic symmetrical ceiling lamp of the present invention includes a location recognition unit 120, a user identification recognition unit 130, a user interface unit 140, a lighting lamp set, a dimming mapping unit 160, and a control unit 150. Wherein the lamp set comprises a working desk lamp 170 and an isotropic symmetrical ceiling lamp 180, which are used for realizing mixed illumination in a public dormitory.
The user identification unit 130 identifies a user to perform data collection and operation for a unique individual. Preferably, the user identification unit 130 may adopt one or more of the following identification methods: fingerprint identification, iris identification, voice identification and face identification.
The user interface unit 140 includes a main switch and a plurality of user operation terminals distributed at different dormitory user locations. The dimming mapping unit 160 maps the light color parameters of the working table lamp and the isotropic symmetrical ceiling lamp optimized by the control unit 150 into their respective driving currents.
Referring to fig. 1 and 12, the mixed lighting method for the public dormitory based on the isotropic symmetrical ceiling lamp in the invention comprises the following steps:
s1, initializing, establishing a light distribution model and a light color grading model in the control unit,
the lighting lamp group in the public dormitory consists of an all-directional symmetrical ceiling lamp for providing global basic lighting and a plurality of working table lamps for providing local supplementary lighting, wherein the working table lamps and the all-directional symmetrical ceiling lamps have the characteristics of adjustable light property and adjustable brightness in at least one of color temperature and color,
the light distribution model is the corresponding relation from the brightness of each lamp in the public dormitory to the illumination of work and rest positions, the work and rest positions are the work and rest positions of each user in the public dormitory such as learning, falling asleep and the like,
the light color scoring model is a light color scoring table set, each user in a public dormitory is provided with a light color scoring table, and the scoring of the illumination and the color temperature/color of the light irradiated by the user at the work and rest position in different work and rest modes is recorded in the table;
s2, sending out light adjusting signal to each lamp in the lighting lamp group through the input and output module of the control unit,
when each lamp independently illuminates, samples are collected for each illumination environment after dimming change, the brightness of the lamp and the illumination of each user work and rest position are obtained at the same time and recorded and stored in a light distribution model,
when the lamps are used for mixed illumination, scoring is carried out on each illumination environment after dimming change by each user in a public dormitory, and a work and rest mode, the illumination intensity of light, color temperature/color and scoring are recorded in a light color scoring table;
s3, during on-line control, optimizing the light color parameters of each lamp by adopting a multi-objective optimization algorithm,
firstly, determining the strategy of encoding and decoding the light color parameters such as the brightness, the color temperature/color and the like of the light emitted by each lamp, determining the respective value intervals,
determining parameters such as population scale, cross probability, mutation probability and the like in optimization calculation,
the current lamp to be optimized is an anisotropic symmetrical ceiling lamp;
s4, randomly generating an initial population;
s5, decoding each individual in the evolutionary population in the search space to obtain a corresponding light color parameter, and calculating the evaluation value of each individual based on the established light distribution model and light color scoring model according to the light color parameter:
for the isotropic symmetrical ceiling lamp, the brightness in the light color parameters is converted into the illumination of the current work and rest position of each user falling asleep according to the light distribution model, the score of the user is calculated by searching and interpolation according to the light color score table of the user, then the scores of all the users falling asleep in the public dormitory are weighted and summed to calculate the total score value,
for a working table lamp, when the working table lamp to be optimized and the optimized anisotropic symmetrical ceiling lamp are illuminated in a mixed light mode, the score of each learning user is calculated through searching and interpolation according to a light color score table of the user based on the total light illumination and the total light color temperature of the total light at the current work and rest position of the learning user, and then the scores of all the learning users in the public dormitory are weighted and summed to calculate the total score;
s6, performing cross inheritance and mutation operations based on the total score value, and updating an evolutionary population;
s7, turning to the step S5, iterating repeatedly until the search is finished, and outputting a Pareto optimization solution;
s8, if the optimization of all lamps is not completed, the current lamp to be optimized is a lamp set formed by all working table lamps, and S4 is turned; otherwise, turning to S9;
and S9, the dimming mapping unit maps the optimization result into a driving current value of each driving current channel of the lamp group, and transmits the current value to the drivers of the working table lamp and the isotropic symmetrical ceiling lamp in the lamp group for dimming.
As shown in fig. 1 and 7, the user operation terminal 26 includes a bottom plate 261, a keyboard 262, a display 264, and a slide input unit 265. The keyboard 262 is used for the public dormitory user to input the registration information such as user ID, identity and the like and various parameters including the light color scoring table, and the display screen is used for assisting the display of the parameters.
The user operation terminal 26 is also provided with a fingerprint input device 263 included in the user identification unit, and user identification is performed by the fingerprint input device.
The desk lamps 170 and the isotropic ceiling lamps 180 corresponding to the number of the dormitory users have the characteristics of adjustable color temperature and color, and adjustable brightness. Wherein, the light-emitting of the symmetrical ceiling lamp is all-directional symmetrical, and a batwing light-distributed light source can be adopted.
Fig. 4 and 5 are schematic diagrams of lighting environments in public dormitories. Wherein fig. 4 illustrates the bed, table arrangement of a user in a public dormitory, with the table 21 located below the bed 22. The left upper part of the table top of the worktable 21 is provided with a worktable lamp 170, the middle part is provided with a position sensor 25 belonging to a position identification unit, and the right upper corner is provided with a user operation terminal 26. At the head of the bed 22 there is a bed operating terminal 27 belonging to the user interface unit and at the bedside there is arranged a curtain 23, the operation of which the user pulls on the curtain being detectable by means of a photoelectric sensor fixed to the curtain pull-cord. The position sensor 25 may be an infrared sensor, and detects whether the user is learning the position of the work table. When the user pulls up the bed curtain or presses the sleep button in the bed operation terminal 27, the control unit sets the current work and rest mode of the user to sleep; and when all users in the public dormitory are not in the learning mode, the control unit sends out a dimming instruction to turn off the isotropic symmetrical ceiling lamp and all working table lamps.
Preferably, the isotropic symmetrical ceiling lamp can be turned off according to preset light-off time; preferably, when the preset number of users are in the sleep mode, the isotropic symmetrical ceiling lamp is turned off.
In fig. 4, the isotropic ceiling lamp 180 is positioned on top of the ceiling in the center of a plurality of user beds to provide basic global illumination, while the desk lamp provides local illumination in the range of the respective work tables of the users. Each desk lamp has a limited local illumination range, and when learners are far enough away, the influence of their respective desk lamps on the positions of other users is negligible.
Preferably, the colors of the lamps in the group of lighting lamps are expressed in the color coordinate xyz.
Referring to fig. 1, preferably, the LED strings 172/182 are used as a light source for the lamp set, the driving current values of the LED strings in the lamp set are adjusted by the driver 181/171 for the isotropic ceiling lamp 180 and the desk lamp 170, and the dimming signals sent to the lamp set by the control unit 150 and the dimming mapping unit 160 are PWM wave duty ratios of the driving currents of the LED strings.
The bed, table arrangement of fig. 5 differs from that of fig. 4. In fig. 5, four work tables 21 are put together, a work table lamp 170 is arranged on the upper left of the top of the work table 21, and a user operation terminal 26 is arranged in the middle. The position sensors 25 belonging to the position recognition unit are then located on the ceiling corresponding to the seats next to each table, the four beds being located in the four corners of the dormitory, respectively.
In the layout of fig. 5, different worktop surfaces are significantly affected by the illumination of the worktop lamp of the adjacent worktop due to the small distance between the worktops.
As shown in fig. 1 and 2, the control unit 150 is connected to the user interface unit, the lighting lamp set, the position recognition unit, and the user identification unit, respectively. The control unit 150 comprises a processing module 152, a memory 153, an input-output module 151, and is configured to:
in an off-line state, the user interface unit and the user identity recognition unit are used for receiving the registration of the dormitory user and storing a user registration table in the memory 153, wherein the user registration table comprises a user identification number, user identity recognition characteristics, a workbench position number and a bed position number;
for each registered user, inputting a light color scoring table through the user interface unit and storing the light color scoring table in the memory, wherein each record of the light color scoring table comprises a work and rest mode, a color temperature, a color, illumination and a scoring value, wherein one of two fields of the color temperature and the color can be empty,
an illumination distribution table is arranged in the memory in advance for each symmetrical ceiling lamp and each working table lamp in the lamp group as an illumination distribution model to reflect the conversion relation from the brightness of each lamp to the illumination of each sleeping position or learning position,
the illumination distribution table can be a conversion list from brightness to illumination, and different brightness of each lamp and illumination of each worktable and bed in a dormitory corresponding to the brightness are recorded in the table;
in the on-line control, the processing module 152 performs, according to the work and rest mode input by the user from the user operation terminal and the user position detected by the position identification unit, based on the illumination distribution table of each lamp in the lamp group and the light color grading table of the user, through a multi-objective optimization algorithm,
firstly, aiming at all sleeping users in the dormitory, the light-emitting of each working table lamp in the lamp group is made to be zero, the brightness, the color temperature or the color of the isotropic symmetrical ceiling lamp are optimized in the space range of the isotropic symmetrical ceiling lamp with the value of the light color parameter,
then, aiming at all learning users in the current dormitory, after deducting the light emission corresponding to the optimization result of the isotropic ceiling lamp, the brightness, the color temperature or the color of the working table lamp are optimized in the space range of the working table lamp with the numeric parameters of the light color being capable of being taken,
finally, the processing module 152 transmits the optimization result to the dimming mapping unit 160, and the dimming mapping unit 160 maps the optimization result into respective driving current values of the working table lamp 170 and the isotropic ceiling lamp 180, and transmits the current values to drivers of corresponding lamps.
Preferably, a time period field can be added in the light color scoring table to show the scoring difference of light color in different time periods for learning or falling asleep;
preferably, the light color scoring table can be split or the light color scoring sub-tables under different work and rest modes such as learning and falling asleep can be obtained respectively through screening;
preferably, when the bed curtain is arranged in the bed, the two situations whether the bed curtain is pulled up or not are distinguished in the illumination distribution table;
preferably, the multi-objective optimization algorithm adopts an MOGA (metal oxide optical genetic algorithm), when the single-user score of the light color parameter is calculated in the optimization process, the illumination intensity of each user at the current position in the public dormitory is calculated according to the brightness in the light color parameter and an illumination distribution table, and then the score is calculated according to the light color scoring table of the user based on the illumination intensity and the color temperature or color in the light color parameter;
the total score of the color parameters of the light to be optimized is the weighted sum of the scores of the single users in the public dormitory, and the weights can be the reciprocal of the number of the users; preferably, the weight of the user falling asleep is increased after 22 o' clock at a certain moment in the night, and the weight of the learning user is increased at other time;
preferably, after a certain time such as 22 o' clock at night, when the parameter optimization is performed on the anisotropic ceiling lamp, the weight of the non-sleeping user is set to be 0.
Preferably, the control unit 150 uploads the data in the memory to an external cloud server through network connection, and after the user changes the dormitory, the light color rating table can be automatically read into the memory of the new dormitory control unit through the user identification unit.
As shown in fig. 1, fig. 3, fig. 4 and fig. 5, since the illumination range of the desk lamp is limited to the range of the corresponding workbench, the user can only consider the light emitted from the isotropic ceiling lamp; for the learning user, the working surface is the result of the mixed illumination of the light emitted from the isotropic ceiling lamp and the working table lamp, and therefore the light color parameters of the working surface are scored by combining the illumination effect of the mixed light of the two light sources.
As shown in fig. 3, the corresponding relationship between the brightness of the working table lamp and the illuminance of the working surface is the second mapping, and the corresponding relationship between the brightness of the lamp and the illuminance of the working surface is the first mapping. Wherein the brightness may be measured from a center position of the work surface towards the light source.
For the total light emitting of mixed illumination, a current learning user searches a light color scoring table of the user based on the light color combination of the illumination, the color or the color temperature of the working surface of the current learning user to obtain the score of the combination, and the score is used in the process of optimizing the light color parameters by using an MOGA (metal oxide optical genetic algorithm).
As shown in fig. 3, the first and second maps are each a relationship between the brightness of each lamp and the illuminance at a certain position when the lamp is individually illuminated. Since XYZ tristimulus values are each proportional to luminance, it is also proportional to illuminance corresponding to the luminance. Therefore, based on the principle that the illuminance is equal, a third mapping can be established between the brightness of the anisotropic symmetrical ceiling lamp and the brightness of the working table lamp, and therefore the X, Y, Z three stimulus values of the anisotropic symmetrical ceiling lamp can be converted into X, Y, Z three stimulus values of the working table lamp respectively through the third mapping.
After the photochromic parameters of the anisotropic symmetrical ceiling lamp are optimized in the first stage, in the process of optimizing the photochromic parameters of the working table lamp in the second stage, the light output of the anisotropic symmetrical ceiling lamp is deducted according to the following process:
converting the optimized color coordinate XYZ and brightness of the anisotropic ceiling lamp into XYZ tristimulus values, and converting the XYZ tristimulus values into XYZ tristimulus equivalent values of a working table lamp corresponding to the same learning user position according to a third mapping;
then, when the light color parameter optimization is carried out on the working table lamp at each learning user position, the brightness and the XYZ color coordinate to be optimized are also converted into XYZ tristimulus values, and after the XYZ tristimulus values are respectively added with X, Y, Z stimulus values, the XYZ tristimulus values are converted back into the brightness and the XYZ color coordinate of the working table lamp; then the illumination of the corresponding learning user position is calculated by the brightness through an illumination distribution table of the working table lamp, so as to obtain the grade of the light color combination consisting of the brightness of the working table lamp to be optimized and the xyz color coordinate through index search and interpolation of a light color grade table,
alternatively, when the color of the lamps in the lamp group is represented by a color temperature, the color temperature may first be converted into color coordinates xyz.
In the multi-objective optimization algorithm processing process, the light color parameter conditions are respectively scored based on the light color scoring table of each user, then the scores are weighted and summed to calculate the total score value, and preferably, if the current time belongs to the range from 8 am to 5 pm, the total score value is adjusted according to the similarity between the light color parameters to be scored and the current daylight color:
f′＝f·(1+η)，
η＝α·sim(K，Know)+(1-α)·sim(L，Lnow)，
wherein α is a setting coefficient, K, L is two values of a color temperature value and a ratio of brightness to maximum brightness of light to be evaluated, Know and Lnow are a color temperature and a relative brightness of current sunlight, respectively, the relative brightness is a ratio of the brightness of the current sunlight to the brightness of the midday sunlight, a similarity function sim (,) adopts a normal distribution function or a triangular distribution function with a second parameter as a center, the distribution amplitude of the function is set according to a value range of the first parameter, η is an adjustment coefficient, and f are scores before and after adjustment, respectively.
And obtaining the light color parameters which give consideration to the lighting requirements of the sleeping user and the learning user after the optimization solution. Then, the dimming mapping unit maps the optimized light color parameters into driving current values of all driving current channels of the lamp group and transmits the current values to drivers in the lamp group, so that automatic optimization mixed illumination in a public dormitory is realized.
The dimming mapping unit converts the light color parameters into a mapping of the lamp group driving current, which may be based on various means. For example, the light color space to driving current space look-up table may be generated in advance.
For the sake of simplicity, without loss of generality, the color parameters of the above-mentioned light color parameters are removed, and only 2 parameters of the brightness and the color temperature of the light are considered.
As shown in fig. 10, as a common dimmable lamp, it is assumed that each of the isotropic ceiling lamp and the desk lamp includes two LED strings of high color temperature and low color temperature, and each LED string corresponds to one driving current channel, as shown in 10a in fig. 10, where n is 2. For each lamp, the dimming mapping unit comprises a lookup table from a light color space consisting of the brightness and color temperature of the lamp to a dual-channel driving current space, and the optimization result (L) is obtained0，K0) The dual channel drive current values are obtained by interpolation in a look-up table.
First, find P (L) in the photochromic space0，K0) Four points around: a (L)1，K1)，B(L2，K1)，C(L1，K2) And D(L2，K2) Wherein L is1≤L0≤L2，K1≤K0≤K2，
Two-channel current value (i)01，i02) The distance is used as a weighted value for interpolation,
wherein d is1Represents the shortest distance of P to four points, d2The second shortest point, and so on, dTIs the sum of four distances; i.e. i11And i21The current values of the two channels with the shortest distance are respectively; and respectively adding different weights to four points closest to the P point to be searched according to different distances, wherein the four points are the shortest and the heaviest.
The interpolation method may also be employed when the light color parameters are evaluated based on the light color evaluation table.
As shown in fig. 10b, it is assumed that the lamp group adopts a three-primary-color LED lamp bead string, and the driving current includes three channels of RGB, at this time, for each lamp, the dimming mapping unit includes a lookup table from a light color space composed of the brightness and the color temperature of the lamp to a three-channel driving current space. At this time, the driving current value of one of the channels is changed to change the light color of the lamp. When the three channel currents are increased or decreased in synchronization from a certain state, the lamp may exhibit no color change but a brightness fade up or down.
Example 2
Different from embodiment 1, this embodiment uses a BP neural network instead of the light color scoring table as the basis for light color scoring.
As shown in fig. 1, the public dormitory mixed lighting system 100 based on the isotropic symmetrical ceiling lamp further includes a light color sensing unit 110. For each user in the public dormitory, an artificial neural network is respectively established in the control unit corresponding to the learning mode and the sleep mode of the user. As shown in fig. 6, the neural network adopts a BP neural network, and the input variables include color temperature and illumination, and the output variables are light color scores.
The control unit is further configured to:
when a neural network training sample is collected, the processing module processes the signal collected by the photochromic sensing unit, respectively obtains 2 photochromic parameters of the illumination and the color temperature of the worktable during learning and the sleeping position during sleeping respectively for two work and rest modes of learning and sleeping, and the user scores the photochromic parameters,
the processing module sends out a dimming signal to the lighting lamp group through the input and output module, repeatedly obtains a training sample set for the changed luminous environment based on the photochromic sensing unit, and carries out off-line training on the neural network based on the sample set,
during on-line control, in the multi-objective optimization algorithm processing process, the trained neural network replaces a light color grading table to calculate light color grading values under different light color parameter conditions.
The BP neural network model is as follows:
the jth node of the hidden layer outputs
The output layer node outputs as
Wherein the f () function is taken as sigmoid function, wijAnd vjRespectively the connection weight from the input layer to the hidden layer and the connection weight from the hidden layer to the output layer, ajAnd b is respectively a hidden layer threshold value and an output layer threshold value, k is the number of nodes of the hidden layer, and a gradient descent method is adopted for network training.
Example 3
On the basis of embodiment 1, the present embodiment adjusts the score in the optimization process to obtain a lighting effect closer to the user requirement.
As shown in fig. 7 and 8, a cursor 2651 is provided on the slide input device 265 of the user-operated terminal, and the user can adjust the score of the light color by moving the cursor.
When the cursor is positioned at the middle position on the sliding input device, the light color grading table shows that the grading is not changed; when the cursor moves left, the user is shown that the lamp is expected to emit light darker than the current brightness, and the score of the light color combination with the brightness lower than the current brightness is increased; otherwise, when the cursor moves to the right, the user may indicate that the light is expected to emit a light that is brighter than the current brightness, and the score for the light color combination having a brightness higher than the current brightness is increased.
Accordingly, the control unit is further configured to:
in the multi-target optimization processing process, after the light color grading values of different light color parameter conditions are calculated according to the light color grading table, the grading values are adjusted according to the position of a cursor after a user operates a sliding input device:
f′＝f·(1+η·Δ)，
where L is the brightness of the light to be scored, L0The brightness of the current light corresponds to the middle position of the slide input device, and the left and right end positions respectively correspond to L when the cursor slides towards the left and right sides of the slide input device00.9 and 1.1 times the brightness, LnAnd delta is the brightness corresponding to the cursor position after the user operates, and is a set threshold value for carrying out grading adjustment according to the brightness, wherein if delta can be set to be 0.1 time, eta is an adjustment coefficient, and f' are respectively the grading values before and after the adjustment.
In addition, experiments show that people are easy to fatigue and make a feeling tired after long-time learning, and blue components in high-color-temperature light are high, so that the user can keep a mind concentration state. For this reason, the cumulative learning time and color temperature factors are embodied in the light color score.
Continuously detecting whether the user is at the workbench position by the position sensor, and obtaining the continuous learning time of the user by accumulation, and correspondingly, the control unit is also configured to:
in the multi-objective optimization processing process, after the light color grading values of different light color parameter conditions are calculated according to a light color grading table, the grading values are adjusted according to the continuous learning time length t and the color temperature value K:
f′＝f□η，
where t is given in minutes, K is the color temperature of the light to be evaluated, KSFor a set intermediate color temperature value, e.g. K can beSThe value was 4500K, η is the adjustment factor, and f' are the scores before and after adjustment, respectively.
As a further improvement, the present embodiment also helps the user to gradually wake up from sleep in the morning by the light of a lower color temperature.
As shown in fig. 9, the bed operating terminal includes an upper cover 271, a lower cover 272, a sleep button 273, a time knob 274, a minute knob 275, and a mode key 276. The user sets the getting-up time of the next day by rotating the hour knob and the minute knob. And, the lighting mode for starting the getting-up lighting mode in the next morning when the mode key is pressed, otherwise, the lighting mode for canceling the getting-up lighting mode.
Accordingly, the control unit is further configured to:
each user is also provided with a wake-up mode light color grading table in the memory, when a certain user gets up, based on the built wake-up mode light color grading table and sleep-in mode sub-tables in the light color grading tables of other sleep-in users, the light colors of the isotropic symmetrical ceiling lamp and the working table lamp are optimized through a multi-objective optimization algorithm, and the dimming mapping unit performs dimming according to the optimization result;
preferably, when the getting-up time is up, the driving current of the working table lamp is set to be zero.
Preferably, in the morning waking stage, the scoring weight of the user getting up can be set to be higher than the scoring weight of the user falling asleep in the multi-objective optimization algorithm processing process.
Preferably, in the morning getting-up stage, the control unit may further blend the optimization result with the light color parameter of the sunlight in the morning, that is, the total light output is supplemented with the sunlight component by the method of subtracting the light output of the isotropic symmetric ceiling lamp in embodiment 1 after multiplying the XYZ tristimulus value of the sunlight by the coefficient based on the distance window within the dormitory of 1 meter.
Preferably, in the morning getting-up stage, the light gradually brightens to reach the light color corresponding to the optimization result after a certain time.
Example 4
In the embodiment, a public dormitory mixed lighting optimization method based on the isotropic symmetrical ceiling lamp is provided.
Referring to fig. 11, the method for optimizing mixed lighting in a public dormitory based on the isotropic symmetrical ceiling lamp includes the following steps:
y1, determining an evaluation standard,
assuming that m1 sleeping users, m2 learning users, 1 each of the isotropic ceiling lamps and m2 working table lamps to be optimized for light emitting are arranged in the public dormitory, a light color scoring table is preset in a memory for each user in the public dormitory, the light color scoring table records the scoring values of various light color parameter combinations such as color temperature, illumination intensity and the like of the user at work and rest positions in work and rest modes such as sleeping or learning and the like,
establishing a public dormitory illumination overall evaluation function F based on the isotropic symmetrical ceiling lamp,
e.g. for anisotropic symmetrical ceilingA lamp for supplying a light to the light source,
ficomprises the following steps:
when each symmetrical ceiling lamp is independently illuminated, the light-emitting brightness of each symmetrical ceiling lamp corresponds to the combination of two light color parameters of the illumination at the position of each sleeping user and the light-emitting color temperature of each sleeping user according to the illumination distribution table, the table is looked up in the sleeping mode sub-table of the light color scoring table of the ith sleeping user to obtain the scoring value,
for the working table lamp, the lamp is provided with a lamp body,
ficomprises the following steps:
when a lamp set consisting of m2 working table lamps and isotropic symmetrical ceiling lamp mixed light illumination are carried out, the combination of two light color parameters of total emergent illumination and total emergent color temperature is correspondingly checked in a learning mode sub-table of a light color grading table of the ith learning user to obtain a grading value;
wherein, without loss of generality, wiCan be 1/N, N is the number of factors; or in a specified rest time period, the weight of the sleeping user relative to the learning user is increased, and the other time periods are operated reversely;
y2, initializing parameters such as evolution population scale, crossover probability, variation probability and the like, determining value intervals and coding strategies of color temperature and brightness and color parameters of each symmetrical ceiling lamp and each working table lamp, and the number N of global Pareto optimal solutions to replace in each generation of populationrp，
In the first stage, a lamp to be optimized is a symmetrical ceiling lamp in all directions;
y3, wherein k is 0, and randomly generating an initial population P (0) for the current lamp or lamp set to be optimized;
y4, let k be k + 1; if the ending condition is reached, turning to the Y11, otherwise, turning to the next step;
y5, decoding all individuals in the present group P (k-1) to obtain the light color parameter, and calculating each factor evaluation value f of each individualiAnd comparing to obtain the Pareto optimal solution set PT of the present generationkAnd is combined withUpdating a global Pareto optimal solution set PTg；
Y6 if PTkNumber of individuals in set N (PT)k) For odd numbers, randomly selecting one individual to add to PTkCollect the PT in the group of this generationkCollecting the F value of the overall evaluation function of each individual, and selecting other (N (gp) -N (PT) according to the F value of each individual by roulette methodk) B)/2 pairs of fathers; the obtained parent population is P' (k);
y7, performing crossover and mutation operations on individuals in P '(k) to generate a population P' (k);
y8 for PT in P' (k)kThe filial individuals of the set are substituted back by the parents if the value of the overall evaluation function F cannot be better than that of the parents, so that a population P' (k) is obtained;
y9, non-PT in P' (k)kN of collection filial generationrpRandomly replacing the individuals with global Pareto optimal solution individuals to generate a next generation group P (k);
y10, step Y4;
y11, after the search is finished, selecting a solution with the optimal F value of the overall evaluation function based on the finally obtained Pareto optimal solution set, and storing the optimal solution; if the ceiling lamp and the working table lamp are optimized in all directions, turning to Y13;
y12, in the second stage, the current lamp to be optimized is a lamp set consisting of m2 working table lamps, and the step is changed to Y3;
and Y13, finishing optimization, and outputting the obtained optimal solution.
As shown in fig. 5, when the interval between the work tables of the learning users is small, if the respective work table lamps have significant influence on the positions of other learning users, when the work table lamps are evaluated in the optimization process, the lights emitted by the symmetrical ceiling lamps and all the work table lamps in the work and the like are mixed and evaluated at each position of the learning users.
Preferably, the illuminance and the color temperature of the total outgoing light in the step Y1 are calculated and processed as follows:
t1, converting the color temperature of each symmetrical ceiling lamp and working table lamp into xyz color coordinate based on the conversion relation from color temperature to color coordinate,
t2, converting color coordinates XYZ and brightness of each direction symmetrical ceiling lamp into XYZ tristimulus values, converting the brightness Y into a first illumination at the ith learning user position according to the illumination distribution table of each direction symmetrical ceiling lamp, and changing X, Z in proportion to obtain a first XYZ tristimulus corresponding to the position,
t3, m2 working table lamps including the kth working table lamp, wherein each lamp in the set converts the color coordinate XYZ and the brightness thereof into the XYZ tristimulus value thereof, then converts the brightness Y thereof into the illumination at the position of the ith learning user according to the respective illumination distribution table, and simultaneously obtains the XYZ tristimulus transform value corresponding to the position after the X, Z thereof are changed in proportion, the sum of the illumination corresponding to all the lamps in the set is the second illumination, and all X, Y, Z tristimulus transform values are respectively added to obtain the second XYZ tristimulus value,
t4, adding the first and second illumination intensities to obtain a total illumination intensity, correspondingly adding the first and second XYZ tristimulus values to obtain a total XYZ tristimulus value, converting the total XYZ tristimulus value into a total XYZ color coordinate, further converting the total XYZ tristimulus value into a total color temperature, and searching a light color scoring table of the ith learning user according to the total illumination intensity and the total color temperature to obtain a scoring value;
the weighting coefficients in step Y1 are further adjusted as follows:
adjusting the total score value according to the position of the cursor after the user operates the sliding input device, the continuous learning time length t and the color temperature value K:
F′＝F·(1+η·Δ)·η′，
where L is the brightness of the light to be scored, L0The brightness of the current light corresponds to the middle position of the slide input device, and the left and right end positions respectively correspond to L when the cursor slides towards the left and right sides of the slide input device00.9 and 1.1 times the brightness, LnThe brightness corresponding to the cursor position after the operation of the user, delta is a set threshold value for grading adjustment according to the brightness, the unit of t is minute, K is the color temperature of the light to be graded, and K is the color temperature of the light to be gradedSFor the set intermediate color temperature value, η and η 'are adjustment coefficients, and F' are scores before and after adjustment, respectively.
Preferably, the influence of the working table lamp on the sleeping user is not considered for the moment, when the working table lamp in the actual environment has significance on the sleeping user, the anisotropic symmetrical ceiling lamp can be processed according to the same light mixing method as the optimization of the working table lamp parameters, namely, the optimization of the first stage and the second stage is combined into one stage, and the light color score value is the weighted sum of all sleeping users and learning users on the evaluation value of the total light after light mixing.
The lighting system is applied to lighting of a public dormitory, the all-directional symmetrical ceiling lamp provides overall basic lighting, the working table lamp provides local supplementary lighting, based on the lighting distribution model of each lamp and the evaluation of the light color parameters of each user in the work and rest modes such as sleeping, learning and the like, the control unit optimizes the light emitting parameters of each lamp through a multi-objective optimization method, and finally converts the optimization result into a driving current value through the dimming mapping unit and sends the driving current value to the driver to perform dimming, so that the requirements of different users and different work and rest in the public dormitory on lighting are coordinated, and the automatic optimization mixed lighting of the public dormitory is realized.
While the embodiments of the present invention have been described above, these embodiments are presented as examples and do not limit the scope of the invention. These embodiments may be implemented in other various ways, and various omissions, substitutions, and changes may be made without departing from the spirit of the invention. These embodiments and modifications are included in the scope and gist of the invention, and are also included in the invention described in the claims and the equivalent scope thereof.
Claims (2)
1. The mixed lighting method for the public dormitory based on the anisotropic symmetrical ceiling lamp comprises the following steps:
s1, initializing, establishing a light distribution model and a light color grading model in the control unit,
the lighting lamp group in the public dormitory consists of an all-directional symmetrical ceiling lamp for providing global basic lighting and a plurality of working table lamps for providing local supplementary lighting, wherein the working table lamps and the all-directional symmetrical ceiling lamps have the characteristics of adjustable light property and adjustable brightness in at least one of color temperature and color,
the light distribution model is the corresponding relation from the brightness of each lamp in the public dormitory to the illumination of the work and rest position, the work and rest position is the learning and sleeping work and rest position of each user in the public dormitory,
the light color scoring model is a light color scoring table set, each user in a public dormitory is provided with a light color scoring table, and the scoring of the illumination and the color temperature/color of the light irradiated by the user at the work and rest position in different work and rest modes is recorded in the table;
s2, sending out light adjusting signal to each lamp in the lighting lamp group through the input and output module of the control unit,
when each lamp independently illuminates, samples are collected for each illumination environment after dimming change, the brightness of the lamp and the illumination of each user work and rest position are obtained at the same time and recorded and stored in a light distribution model,
when the lamps are used for mixed illumination, scoring is carried out on each illumination environment after dimming change by each user in a public dormitory, and a work and rest mode, the illumination intensity of light, color temperature/color and scoring are recorded in a light color scoring table;
s3, during on-line control, optimizing the light color parameters of each lamp by adopting a multi-objective optimization algorithm,
firstly, determining the strategies of encoding and decoding the light color parameters of the brightness and the color temperature/color of the light emitted by each lamp, and determining the respective value intervals,
determining population scale, cross probability and variation probability parameters in optimization calculation,
the current lamp to be optimized is an anisotropic symmetrical ceiling lamp;
s4, randomly generating an initial population;
s5, decoding each individual in the evolutionary population in the search space to obtain a corresponding light color parameter, and calculating the evaluation value of each individual based on the established light distribution model and light color scoring model according to the light color parameter:
for the isotropic symmetrical ceiling lamp, the brightness in the light color parameters is converted into the illumination of the current work and rest position of each user falling asleep according to the light distribution model, the score of the user is calculated by searching and interpolation according to the light color score table of the user, then the scores of all the users falling asleep in the public dormitory are weighted and summed to calculate the total score value,
for a working table lamp, when the working table lamp to be optimized and the optimized anisotropic symmetrical ceiling lamp are illuminated in a mixed light mode, the score of each learning user is calculated through searching and interpolation according to a light color score table of the user based on the total light illumination and the total light color temperature of the total light at the current work and rest position of the learning user, and then the scores of all the learning users in the public dormitory are weighted and summed to calculate the total score;
s6, performing cross inheritance and mutation operations based on the total score value, and updating an evolutionary population;
s7, turning to the step S5, iterating repeatedly until the search is finished, and outputting a Pareto optimization solution;
s8, if the optimization of all lamps is not completed, the current lamp to be optimized is a lamp set formed by all working table lamps, and S4 is turned; otherwise, turning to S9;
and S9, the dimming mapping unit maps the optimization result into a driving current value of each driving current channel of the lamp group, and transmits the current value to the drivers of the working table lamp and the isotropic symmetrical ceiling lamp in the lamp group for dimming.
2. The mixed lighting method for public dormitory based on the isotropic symmetrical ceiling lamp as claimed in claim 1, wherein the step S5 further comprises:
when calculating the total score value, if the current time is in the range from 8 am to 5 pm, the total score value is further adjusted according to the similarity between the parameter of the light color to be scored and the current daylight color:
f′＝f·(1+η)，
η＝α·sim(K，Know)+(1-α)·sim(L，Lnow)，
wherein a is a set coefficient, K, L is two values of the color temperature value and the ratio of the brightness to the maximum brightness of the light to be evaluated, Know and Lnow are the color temperature and the relative brightness of the daylight at the current time, respectively, the relative brightness is the ratio of the daylight brightness at the current time to the daylight brightness at noon, the similarity function sim (,) adopts a normal distribution function or a triangular distribution function with the second parameter as the center, the distribution amplitude is set according to the value range of the first parameter, eta is an adjustment coefficient, and f' are the evaluation values before and after adjustment.
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| CN202110138893.6A CN112566333A (en) | 2018-12-29 | 2019-04-03 | Public dormitory mixed lighting system based on isotropic symmetry ceiling lamp |
| CN202110138891.7A CN112566331A (en) | 2018-12-29 | 2019-04-03 | Public dormitory mixed lighting method based on anisotropic symmetrical ceiling lamp |
| CN202110138892.1A CN112566332A (en) | 2018-12-29 | 2019-04-03 | Public dormitory mixed lighting optimization method based on anisotropic symmetrical ceiling lamp |
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| CN202110138892.1A Division CN112566332A (en) | 2018-12-29 | 2019-04-03 | Public dormitory mixed lighting optimization method based on anisotropic symmetrical ceiling lamp |
| CN202110138893.6A Division CN112566333A (en) | 2018-12-29 | 2019-04-03 | Public dormitory mixed lighting system based on isotropic symmetry ceiling lamp |
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| CN201910287131.5A Active CN109874217B (en) | 2018-12-29 | 2019-04-03 | Public dormitory mixed lighting method based on anisotropic symmetrical ceiling lamp |
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| CN114221990A (en) * | 2021-12-17 | 2022-03-22 | 武汉长江鲲鹏生态创新科技有限公司 | Combined service optimization method under cloud platform |
| CN114727456A (en) * | 2022-05-09 | 2022-07-08 | 清华大学 | Sleep-aid lamp control method, system, storage medium and program product |
Family Cites Families (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2270882Y (en) * | 1995-05-22 | 1997-12-17 | 北京市牡丹机电设备开发公司 | Ceiling lamp |
| DE19944024A1 (en) * | 1999-09-14 | 2001-03-15 | Siemens Ag | Method of controlling intensity in room enables intensity to be controlled in accordance with subjective intensity perception |
| CN1719495A (en) * | 2005-04-11 | 2006-01-11 | 张杨敬 | Individuality LED sublued light plate lighting in train, ship sleeping car |
| US8633655B2 (en) * | 2010-09-15 | 2014-01-21 | Azurelighting Technologies, Inc. | LED (Light-Emitting Diode) output power adjusting device and method thereof |
| US9706623B2 (en) * | 2012-08-24 | 2017-07-11 | Abl Ip Holding Llc | Learning capable control of chaotic lighting |
| EP2912925B1 (en) * | 2012-10-26 | 2018-12-19 | Philips Lighting Holding B.V. | Lighting methods for providing personalized lighting to users positioned proximal to one another |
| US8975823B2 (en) * | 2013-03-15 | 2015-03-10 | Just Power Integrated Technology Inc. | LED control apparatus |
| CN104066220B (en) * | 2013-03-19 | 2016-06-08 | 日电（中国）有限公司 | A kind of illumination control method and device |
| JP6369786B2 (en) * | 2014-09-12 | 2018-08-08 | パナソニックＩｐマネジメント株式会社 | LIGHTING SYSTEM AND LIGHTING DEVICE USED FOR THE SAME |
| CN104582164A (en) * | 2014-12-30 | 2015-04-29 | 苏州汉克山姆照明科技有限公司 | Public lighting system with auxiliary lighting |
| WO2016166023A1 (en) * | 2015-04-16 | 2016-10-20 | Philips Lighting Holding B.V. | Lighting control apparatus |
| CN204701619U (en) * | 2015-04-22 | 2015-10-14 | 肖文君 | A kind of intelligent lamp curtain table arrangement based on berth of train |
| KR101852109B1 (en) * | 2015-06-22 | 2018-04-25 | 성균관대학교산학협력단 | System and method for providing smart lighting customization service |
| CN105320822B (en) * | 2015-12-07 | 2018-05-25 | 天津工业大学 | A kind of Bi-objective Synthetical Optimization method of LED radiator structural parameters |
| US10009974B2 (en) * | 2016-04-09 | 2018-06-26 | Tempo Industries, Llc | Dim to warm LED lighting system |
| CN206093728U (en) * | 2016-10-18 | 2017-04-12 | 深圳市皓璟照明科技有限公司 | Tracker of indoor LED light |
| JP6811438B2 (en) * | 2016-11-29 | 2021-01-13 | パナソニックＩｐマネジメント株式会社 | Lighting control system, lighting control method and program |
| CN206222103U (en) * | 2016-12-02 | 2017-06-06 | 同济大学 | A kind of Office lighting systems |
| US10398002B2 (en) * | 2017-05-05 | 2019-08-27 | Wuhan China Star Optoelectronics Technology Co., Ltd | Backlight module, LCD and backlight module driving control method |
| CN206851115U (en) * | 2017-06-29 | 2018-01-05 | 西安邮电大学 | A kind of dormitory Lighting Control Assembly |
| CN107426901B (en) * | 2017-08-06 | 2019-06-28 | 深圳供电局有限公司 | A kind of lighting power-saving measurement and control system based on wireless sensor network |
| CN107817753A (en) * | 2017-10-24 | 2018-03-20 | 龙岩学院 | A kind of intelligent Dormitory management system |
| CN108052765A (en) * | 2017-12-26 | 2018-05-18 | 四川大学 | Scheme of colour automatic generation method and device based on personality impression |
| CN208186166U (en) * | 2018-04-25 | 2018-12-04 | 长泰县漳超灯具经营部 | A kind of small desk lamp learning dormitory adjustable light distance |
| CN108712809B (en) * | 2018-05-18 | 2019-12-03 | 浙江工业大学 | A kind of luminous environment intelligent control method neural network based |
-
2019
- 2019-04-03 CN CN202110138893.6A patent/CN112566333A/en not_active Withdrawn
- 2019-04-03 CN CN202110138892.1A patent/CN112566332A/en active Pending
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| CN112566331A (en) | 2021-03-26 |
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