CN111465135A - Intelligent lighting control system based on circadian rhythm - Google Patents
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Abstract
The invention relates to an intelligent lighting control system based on circadian rhythm, which comprises a control input parameter module, an intelligent lighting control system module, an Internet of things main control unit, an Internet of things lighting terminal node set and a terminal lighting lamp set, wherein the control input parameter module is used for controlling the lighting control system module; the input parameter module includes a variety of control input parameters including, but not limited to, device control events, color temperature sensors, brightness sensors, and GPS sensors; the Internet of things main control unit is responsible for communication between the intelligent lighting control system module and the Internet of things lighting terminal nodes. The color temperature is adjusted using circadian rhythms, and adjusting brightness in an artificial and systematic manner uses data classification prediction techniques to achieve prediction of artificial brightness adjustments. The sensor of the smart phone is used, so that the implementation is more convenient, and the cost is lower.
Description
Technical Field
The invention relates to the field of intelligent illumination, in particular to an intelligent illumination control system based on circadian rhythm.
Background
Circadian rhythm (circadian rhythm) refers to a change in life activity in a cycle of about 24 hours. Also known as the near-day rhythm. The physiological function, learning and memory ability, emotion and working efficiency of human body also have obvious circadian rhythm fluctuation. The circadian rhythm is closely related to human activities. The disturbance of the circadian rhythm can cause the physiological function, learning and memory ability, emotion, working efficiency and the like of the human body to have obvious circadian rhythm fluctuation.
In the course of long-term evolution, human beings have adapted to the circadian rhythm change of natural light, and form a specific organ in the human body, which has the function of controlling biological rhythm, called biological clock. The biological clock receives the light and shade periodic signal from the outside at any time, and adjusts the physiological period of the biological clock to adapt to the outside environment.
However, with the development of human beings and the development of urbanization, the activity space of people is mainly indoors. Studies have shown that lack of natural light is one of the causes of circadian rhythm disturbances in humans, mood disorders and other physical disorders.
Therefore, healthy, high quality lighting systems should take into account variations in the human circadian rhythm. A dynamic lighting system is developed, and parameters such as illumination, color temperature, spectrum and the like can be automatically adjusted according to different time in one day so as to adapt to the change of human circadian rhythm.
There are many studies on circadian rhythms, and there are mainly the following directions:
improvement of lighting hardware device
2. A set of lighting hardware improved device is provided to realize the function of the lighting equipment for satisfying the circadian rhythm.
And secondly, simulating a natural spectrum to adjust illumination to enable the illumination to be matched with the circadian rhythm of the human body.
3. A system is provided for dynamically adjusting the lighting parameters by analyzing the spectrum of the natural world, mainly in hospitals.
Third, detection and quantification of human circadian rhythm state
A method is provided for detecting whether a person's circadian rhythm matches a natural circadian rhythm state, and for quantifying the degree of matching.
The emphasis in the prior art is on improvements in the hardware implementation of the light fixtures, which can be relatively costly.
The prior art mainly aims at the research (such as hospitals) of a closed area which can not irradiate natural light, and the efficiency is low by acquiring a large amount of spectral data through manpower.
The data acquisition mode in the prior art is not easy to be practically popularized.
The prior art is directed at the control of RGBW colored lamps, and is not directed at ordinary L ED lamps.
The prior art mainly aims at the adjustment of color temperature, and is not combined with the adjustment of brightness.
Disclosure of Invention
The intelligent illumination control system based on the circadian rhythm is mainly used for acquiring data in real time through the sensors, the data are more comprehensive and scientific, the application range is wider, more scenes are used, such as schools, offices and the like, the color temperature is adjusted by using the circadian rhythm, the brightness is adjusted by manually combining with the system, the prediction of manual brightness adjustment is realized by using a data classification prediction technology, and the sensor of the intelligent mobile phone is used, so that the implementation is more convenient and the cost is lower.
In order to solve the technical problems, the invention provides an intelligent lighting control system based on circadian rhythm, which comprises a control input parameter module, an intelligent lighting control system module, an internet of things main control unit, an internet of things lighting terminal node set and a terminal lighting lamp set; the input parameter module comprises a plurality of control input parameters including equipment control events, a color temperature sensor, a brightness sensor and a GPS sensor; the intelligent lighting control system module comprises a front-end configuration client module, a circadian rhythm schedule, a manual brightness adjustment database module and a background service program module; the Internet of things main control unit is responsible for realizing communication between the intelligent lighting control system module and the Internet of things lighting terminal nodes; the Internet of things lighting terminal nodes are integrated into an Internet of things module which is configured on each lighting device to realize communication between the lighting device and an Internet of things main control unit; the terminal equipment is integrated into a plurality of lamp equipment.
In one embodiment, the intelligent lighting system module comprises:
a first module: the front end is provided with a client module which is used for configuring a circadian rhythm schedule and manually adjusting the color temperature of the lamp;
and a second module: the module is used as a reference basis for adjusting the color temperature of the lamp;
and a third module: the manual brightness adjusting database module is used for recording the history record of manual brightness adjustment to serve as a later automatic adjusting basis;
and a module IV: and the background service program module is used for executing a circadian rhythm scheme by an intelligent algorithm engine, and calculating a proper lamp illumination color temperature value and a proper lamp illumination brightness value according to input parameters and by combining with manually adjusted brightness data to perform illumination control.
In one embodiment, the specific process of the intelligent algorithm engine includes:
step 1: firstly, calculating a current target color temperature CCT1 through a color sensor;
step 2: position information located by a GPS sensor; retrieving the configuration parameters of the weather switch, if the weather switch is turned on, acquiring the current weather information through a weather api interface, and then matching with a circadian rhythm table to acquire the corresponding proper color temperature CCT 2; otherwise, if the weather switch is closed, the weather effect is not considered when the reference of the circadian rhythm table is matched;
step 3, calculating color temperature error absolute values of CCT1 and CCT2, namely DN L1 is | CCT1-CCT2|, when the error is exceeded, the system automatically adjusts the color temperature of the lamp to be CCT2, otherwise, the color temperature of the lamp does not need to be corrected;
and 4, step 4: and finally, intelligently adjusting through a brightness adjusting model.
In one embodiment, the brightness adjustment needs to be dynamically adjusted by combining with manually adjusted historical data, whether the brightness needs to be adjusted is realized by a classification method of data mining, and the classification steps include two:
the first step is as follows: a training stage:
step 1: establishing a training data set, wherein the data set is composed of a group of data tuples, a day is divided into 24 time periods, dates are shown in a week calendar mode, and each data source group has a label classification of 'Yes' or 'No';
step 2: counting the operation times of manually adjusting the brightness in each time interval, and specifying that if the action of manually adjusting the brightness is generated in the operation time interval with preset operation frequency, marking the data as 'Yes', otherwise, marking the data as 'No';
the second step is that: and (3) an evaluation stage:
step 1: in the evaluation stage, the model established in the first stage is used for classifying the data tuples of the inspection set, so that the prediction accuracy of the classification model is evaluated;
step 2: unknown data tuples are classified using a training model.
The third step: the final brightness is calculated.
In one embodiment, the third step: calculating the final brightness, specifically comprising:
step 1: after the data are classified, label "Yes" is attached to each operation data of manual brightness adjustment "
Or "No";
step 2: if the brightness is No, the brightness of the lamp does not need to be adjusted; if Yes, entering step 3;
step 3, acquiring current manual adjustment brightness L ux 1;
step 4, acquiring current environment brightness L ux2 by a brightness sensor;
and 5, calculating absolute values of luminance errors of L ux1 and L ux2, namely DN L2 is | L ux 1-L ux2|, automatically adjusting the luminance of the lamp to be L ux1 by the system when the absolute values exceed the errors, and otherwise, not correcting the luminance of the lamp.
In one embodiment, the training set data is sorted 2/3 from the existing data, leaving 1/3 as the test data set.
In one embodiment, the color sensor and the GPS sensor described above are replaced by sensors in the smartphone.
In one embodiment, the GPS sensor is used for acquiring longitude and latitude information of the current region, sunrise time and weather conditions by receiving satellite positioning information; only one GPS sensor needs to be installed within a certain range, and the position information can be acquired once.
In one embodiment, the location information may also be obtained via an online map or via a handheld GPS device.
In one embodiment, the end-of-thing nodes support mainstream communication protocols including Wi-Fi, RF2.4, 433M, Zigbee.
The invention has the beneficial effects that:
by utilizing the matching use of the Internet of things technology and an intelligent algorithm, the color temperature is adjusted by integrating the circadian rhythm, and the manual brightness adjustment and the automatic brightness adjustment of the system are combined for optimization; various input parameters are integrated, so that the decision is more comprehensive and scientific; the color temperature is determined by day and night rhythm through intelligent control, and the manual brightness adjustment and the automatic brightness adjustment of the system are combined, so that the requirements of an actual scene and the future development are better met; the implementation is more convenient by combining the smart phone to avoid installing related hardware, and the application scene is wider.
Drawings
FIG. 1 is a block diagram of the architecture of a circadian rhythm-based intelligent lighting control system of the present invention.
FIG. 2 is a flow chart of an intelligent algorithm engine of the circadian rhythm-based intelligent lighting control system of the present invention.
FIG. 3 is a schematic diagram of the data mining training phase in the circadian rhythm-based intelligent lighting control system of the present invention.
FIG. 4 is a schematic diagram of the data mining evaluation phase in the circadian rhythm-based intelligent lighting control system of the present invention.
FIG. 5 is a schematic diagram of brightness adjustment in a circadian rhythm-based intelligent lighting control system of the present invention.
Detailed Description
The present invention is further described below in conjunction with the following figures and specific examples so that those skilled in the art may better understand the present invention and practice it, but the examples are not intended to limit the present invention.
Referring to fig. 1, the invention discloses an intelligent lighting control system based on circadian rhythm, which comprises a control input parameter module, an intelligent lighting control system module, an internet of things master control unit, an internet of things lighting terminal node set, a terminal lighting lamp set and an effect feedback module. The input parameter module includes a variety of control input parameters including, but not limited to, device control events, color temperature sensors, brightness sensors, GPS sensors, etc.; the intelligent lighting system module consists of a front-end configuration client module, a background service program module and a manual brightness adjustment database module; the Internet of things main control unit is responsible for realizing communication between the intelligent lighting control system module and the Internet of things lighting terminal nodes; the Internet of things lighting terminal nodes are integrated into an Internet of things module which is configured on each lighting device to realize communication between the lighting device and an Internet of things main control unit; the terminal equipment is integrated into a plurality of lamp equipment.
The intent of a circadian rhythm intelligent lighting control system is to automatically simulate the color temperature of natural light by the system, i.e. the color temperature is dynamically determined by the rhythm; the brightness of the illumination is combined by manual adjustment and automatic intervention of the system.
The first control input parameter module:
control input parameter function description table:
RGB color sensor role:
as is well known, the spectrum of natural light can be represented by three primary colors (RGB), so that the color temperature of the simulated natural light is firstly the three primary colors of the natural light, and the RGB color sensor can collect the three primary colors of the natural light and convert the collected three primary colors into tristimulus values of XYZ for the lighting of the lamp, and calculate the color temperature (CCT) value of the lighting of the lamp by the subordinate equation.
X＝0.16104R+0.12455G+0.08469B-4.87662 (1)
Y＝0.01451R+0.30386G+0.02684B-2.95881 (2)
Z＝-0.0128R-0.19843G+0.69963B-361108 (3)
x＝X/(X+Y+X) (4)
y＝Y/(X+Y+X) (5)
n＝(x-0.3320)/(y-0.1858) (6)
CCT＝-437n3+3607n2-6861n+5514.31 (7)
The equations (1) to (7) above calculate the transformation equation of the color temperature of the lamp for RGB (this equation is a validated method in related research in the industry).
The GPS sensor functions as follows:
the GPS sensor is used for acquiring longitude and latitude information of the current region, sunrise and sunset time and climate conditions by receiving satellite positioning information. Only one GPS sensor needs to be installed within a certain range, and the position information can be acquired once. Of course, the location information may also be obtained through an online map or a handheld GPS device (this requires a certain configuration work and is relatively cumbersome). But it is more convenient to install a GPS sensor, the cost is not high, and the mobility is increased.
Integration of the smart phone:
today smartphones are more and more powerful and are equipped with many sensors, including colour sensors and GPS sensors. Therefore, the color sensor and the GPS sensor can be replaced by the sensor in the smart phone in combination with the smart phone.
The intelligent lighting system module mainly comprises four modules:
a first module: the front end is provided with a client module which is used for configuring a circadian schedule and manually adjusting the color temperature of the lamp.
And a second module: the module is used as a reference basis for adjusting the color temperature of the lamp.
The circadian schedule is a common knowledge that can be used as a reference for adjusting the color temperature. Note that the circadian rhythm is related to both time zone and weather, and the above table provides only common information of the circadian rhythm tables for different time zones, omitting information such as location.
And a third module: and the manual brightness adjusting database module is used for recording the history of manual brightness adjustment to serve as a later automatic adjusting basis.
And a module IV: and the background service program module is used for executing a circadian rhythm scheme by an intelligent algorithm engine, and calculating a proper lamp illumination color temperature value and a proper lamp illumination brightness value according to input parameters and by combining with manually adjusted brightness data to perform illumination control.
Referring to fig. 2, the specific process of the intelligent algorithm engine includes:
step 1: firstly, calculating a current target color temperature CCT1 through a color sensor;
step 2: position information located by a GPS sensor; retrieving the configuration parameters of the weather switch, if the weather switch is turned on, acquiring the current weather information through a weather api interface, and then matching with a circadian rhythm table to acquire the corresponding proper color temperature CCT 2; on the contrary, if the weather switch is turned off, the weather effect is not considered when the reference of the circadian rhythm table is matched (for example, only the color temperature of sunny weather is considered);
step 3, calculating color temperature error absolute values of CCT1 and CCT2, namely DN L1 is | CCT1-CCT2| (an error threshold can be set, such as 100K), when the error is exceeded, the system automatically adjusts the color temperature of the lamp to be CCT2, otherwise, the color temperature of the lamp does not need to be corrected;
and 4, step 4: and finally, intelligently adjusting the brightness through a brightness adjusting model (see the following data mining classification prediction flow charts 3 and 4).
The brightness adjustment needs to be dynamically adjusted by combining with manually adjusted historical data, whether the brightness needs to be adjusted or not is realized by a data mining classification method, and the classification steps comprise two steps:
the first step is as follows: a training stage:
step 1: and (3) establishing a training data set, wherein the training data set is selected 2/3 from the existing data, and the rest 1/3 is used as a test data set. The dataset consists of a set of data tuples (time period, monday, tuesday, wednesday, thursday, friday, saturday, sunday), the day is divided into 24 periods (which may be subdivided at a finer granularity, such as 30 minute segments), the date is presented in the form of a calendar, each data source set has a label classification "Yes" or "No";
step 2: counting the number of operations of manually adjusting the brightness of each time interval, and specifying a preset operation frequency, such as Top3 (the ranking can also be defined as Top10) with the highest operation frequency, if an action of manually adjusting the brightness is generated in the operation time interval, marking the data as "Yes", otherwise marking the data as "No".
The second step is that: and (3) an evaluation stage:
step 1: in the evaluation stage, the model established in the first stage is used for classifying the data tuples of the inspection set, so that the prediction accuracy of the classification model is evaluated;
step 2: unknown data tuples are classified using a training model.
Referring to fig. 5, the third step: calculating the final brightness:
step 1: after data classification, labeling "Yes" or "No" on each operation data of manual brightness adjustment;
step 2: if the brightness is No, the brightness of the lamp does not need to be adjusted; if Yes, entering step 3;
step 3, acquiring current manual adjustment brightness L ux 1;
step 4, acquiring current environment brightness L ux2 by a brightness sensor;
and 5, calculating absolute values of luminance errors of L ux1 and L ux2, namely DN L2 | L ux 1-L ux2| (an error threshold can be set here, such as 10%), and when the error is exceeded, automatically adjusting the luminance of the lamp to be L ux1 by the system, otherwise, not correcting the luminance of the lamp.
Third, thing networking main control unit module
And the Internet of things main control unit is responsible for communication between the intelligent lighting system and the Internet of things terminal node. The main control unit of the internet of things supports mainstream communication protocols such as Wi-Fi, RF2.4, 433M, Zigbee and the like.
Fourth, thing networking lighting terminal node integrated module
The Internet of things lighting terminal nodes are integrated into Internet of things modules configured on the lighting devices, and communication between the lighting devices and the Internet of things main control unit is achieved. The terminal nodes of the Internet of things support mainstream communication protocols such as Wi-Fi, RF2.4, 433M, Zigbee and the like.
Fifth, terminal equipment set module
The terminal equipment is integrated into controlled lamp equipment.
An application scenario of the present invention is given below:
taking classroom as an example of application scenarios:
the classroom is equipped with the following internet of things devices: the intelligent lighting control system comprises a lighting lamp, a GPS sensor, a brightness sensor and a color sensor, wherein the GPS sensor, the brightness sensor and the color sensor are used as control input parameters of the intelligent lighting control system; the lighting fixture serves as a controlled device of the intelligent lighting control system. The intelligent lighting control system is deployed on a third-party cloud server (or an IDC machine room of a school), and the school deploys GPS sensor information.
School's back office staff can log in intelligent lighting control system client through the PC computer, uploads the circadian rhythm timetable (can be applied to a plurality of schools or classroom regions with this circadian rhythm timetable simultaneously), and basic data configuration DN L1 is 100K, and DN L2 is 10%:
1. the color sensor acquires a target color temperature CCT1 of an area where a current classroom is located. The position information positioned by the GPS sensor is matched with the proper color temperature CCT2 corresponding to the current weather at the current time at the current position in the circadian rhythm table, and the weather can be acquired through an online api interface;
2. the system automatically calculates the absolute value of the color temperature error of CCT1 and CCT2, namely DN L1 is | CCT1-CCT2|, when the error is exceeded, the system automatically adjusts the color temperature of the lamp to be CCT2, otherwise, the color temperature of the lamp does not need to be corrected;
3. the brightness adjusting model module adopts a data mining classification prediction model to dynamically label data classification;
4. when the data of the manual brightness adjustment is searched to be marked as 'Yes', current manual brightness adjustment data L ux1 is obtained;
5. acquiring current actual brightness data L ux2 through a brightness sensor;
6. and (3) calculating absolute values of brightness errors of L ux1 and L ux2, namely DN L2 ═ L ux 1-L ux2 |. when the errors are exceeded, the system automatically adjusts the brightness of the lamp to L ux1, otherwise, the brightness of the lamp does not need to be corrected.
The intelligent lighting control system background service program can be used for dynamically operating the watch. As the data volume of the system increases and the long-term use is accumulated, the classification prediction of the data can be more scientific, and the use experience of a user can be more comfortable.
The application scenes are only typical application scenes of the patent, and are also applicable to indoor energy conservation in other industries (such as hotels, offices, markets and the like).
Description of the drawings: the functions of the GPS sensor and the color sensor can be replaced by a smart phone.
The above-mentioned embodiments are merely preferred embodiments for fully illustrating the present invention, and the scope of the present invention is not limited thereto. The equivalent substitution or change made by the technical personnel in the technical field on the basis of the invention is all within the protection scope of the invention. The protection scope of the invention is subject to the claims.
Claims (10)
1. An intelligent lighting control system based on circadian rhythm is characterized by comprising a control input parameter module, an intelligent lighting control system module, an Internet of things main control unit, an Internet of things lighting terminal node set and a terminal lighting lamp set; the input parameter module comprises an equipment control event, a color temperature sensor, a brightness sensor and a GPS sensor; the intelligent lighting control system module comprises a front-end configuration client module, a circadian rhythm schedule, a manual brightness adjustment database module and a background service program module; the Internet of things main control unit is responsible for realizing communication between the intelligent lighting control system module and the Internet of things lighting terminal nodes; the Internet of things lighting terminal nodes are integrated into an Internet of things module which is configured on each lighting device to realize communication between the lighting device and an Internet of things main control unit; the terminal equipment is integrated into a plurality of lamp equipment.
2. The circadian rhythm-based intelligent lighting control system of claim 1, wherein the intelligent lighting system module comprises:
a first module: the front end is provided with a client module which is used for configuring a circadian rhythm schedule and manually adjusting the color temperature of the lamp;
and a second module: the module is used as a reference basis for adjusting the color temperature of the lamp;
and a third module: the manual brightness adjusting database module is used for recording the history record of manual brightness adjustment to serve as a later automatic adjusting basis;
and a module IV: and the background service program module is used for executing a circadian rhythm scheme by an intelligent algorithm engine, and calculating a proper lamp illumination color temperature value and a proper lamp illumination brightness value according to input parameters and by combining with manually adjusted brightness data to perform illumination control.
3. The circadian-based intelligent lighting control system according to claim 2, wherein the intelligent algorithm engine specific process comprises:
step 1: firstly, calculating a current target color temperature CCT1 through a color sensor;
step 2: position information located by a GPS sensor; retrieving the configuration parameters of the weather switch, if the weather switch is turned on, acquiring the current weather information through a weather api interface, and then matching with a circadian rhythm table to acquire the corresponding proper color temperature CCT 2; otherwise, if the weather switch is closed, the weather effect is not considered when the reference of the circadian rhythm table is matched;
step 3, calculating color temperature error absolute values of CCT1 and CCT2, namely DN L1 is | CCT1-CCT2|, when the error is exceeded, the system automatically adjusts the color temperature of the lamp to be CCT2, otherwise, the color temperature of the lamp does not need to be corrected;
and 4, step 4: and finally, intelligently adjusting through a brightness adjusting model.
4. The circadian rhythm-based intelligent lighting control system according to claim 3, wherein the brightness adjustment needs to be dynamically adjusted in combination with historical data of manual adjustment, whether the brightness needs to be adjusted is realized by a classification method of data mining, and the classification steps are two:
the first step is as follows: a training stage:
step 1: establishing a training data set, wherein the data set is composed of a group of data tuples, a day is divided into 24 time periods, dates are shown in a week calendar mode, and each data source group has a label classification of 'Yes' or 'No';
step 2: counting the operation times of manually adjusting the brightness in each time interval, and specifying that if the action of manually adjusting the brightness is generated in the operation time interval with preset operation frequency, marking the data as 'Yes', otherwise, marking the data as 'No';
the second step is that: and (3) an evaluation stage:
step 1: in the evaluation stage, the model established in the first stage is used for classifying the data tuples of the inspection set, so that the prediction accuracy of the classification model is evaluated;
step 2: classifying unknown data tuples by using a training model;
the third step: the final brightness is calculated.
5. The circadian rhythm-based intelligent lighting control system of claim 4,
the third step: calculating the final brightness, specifically comprising:
step 1: after data classification, labeling "Yes" or "No" on each operation data of manual brightness adjustment;
step 2: if the brightness is No, the brightness of the lamp does not need to be adjusted; if Yes, entering step 3;
step 3, acquiring current manual adjustment brightness L ux 1;
step 4, acquiring current environment brightness L ux2 by a brightness sensor;
and 5, calculating absolute values of luminance errors of L ux1 and L ux2, namely DN L2 is | L ux 1-L ux2|, automatically adjusting the luminance of the lamp to be L ux1 by the system when the absolute values exceed the errors, and otherwise, not correcting the luminance of the lamp.
6. The circadian-rhythm based intelligent lighting control system of claim 4 wherein the training set data is selected 2/3 from the existing data, the remaining 1/3 as the test data set.
7. The circadian rhythm-based intelligent lighting control system according to claim 1, wherein said color sensor and GPS sensor are replaced by sensors in a smartphone.
8. The circadian rhythm-based intelligent lighting control system according to claim 1, wherein the GPS sensor is adapted to acquire latitude and longitude information of a current region, and sunset sunrise time and climate conditions by receiving satellite positioning information; only one GPS sensor needs to be installed within a certain range, and the position information can be acquired once.
9. The circadian rhythm-based intelligent lighting control system as claimed in claim 1, wherein the acquisition of position information is also obtainable by an online map or by a handheld GPS device.
10. The circadian rhythm-based intelligent lighting control system of claim 1 wherein the end-of-things nodes support mainstream communication protocols including Wi-Fi, RF2.4, 433M, Zigbee.
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Denomination of invention: Intelligent lighting control system based on circadian rhythm Effective date of registration: 20220701 Granted publication date: 20220215 Pledgee: Zhejiang Tailong Commercial Bank Co.,Ltd. Suzhou Likou sub branch Pledgor: DATATELLIT (SUZHOU) Inc. Registration number: Y2022320010317 |