CN112930010A - Office intelligent illumination control method and control system thereof - Google Patents
Office intelligent illumination control method and control system thereof Download PDFInfo
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
- H05B47/11—Controlling the light source in response to determined parameters by determining the brightness or colour temperature of ambient light
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
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Abstract
The invention discloses an intelligent illumination control method for an office, which comprises the following steps: step S1: inputting controlled room information, and storing related data in a cloud control module; step S2: the cloud control module preprocesses the illumination weight matrix according to the room related data and sends a preprocessing result to the illumination control module; step S3: the illumination control module estimates the room illumination distribution according to real-time dynamic meteorological data by combining with a rapid estimation algorithm of the room illumination; step S4: the lighting control module calculates the dimming degree of the lamp by using a lamp target opening algorithm according to the room illumination distribution, and sends a control instruction to the lamp dimming driving module. The invention can reduce the unevenness of the room illumination to the maximum extent and simultaneously save the power consumption of manual illumination.
Description
Technical Field
The invention belongs to the technical field of indoor light environments, and particularly relates to an office intelligent illumination control method and a control system thereof.
Background
The most offices in China adopt a natural lighting form of side lighting, the lighting form can inevitably cause uneven distribution of illumination in the offices, and the specific expression is that the lighting coefficient of an area close to an external window is relatively high, and the lighting coefficient of an area far away from the external window is relatively low. Because indoor illuminance distributes unevenly, and the demand that different regions were at the same time to artificial lighting is also different, theoretically speaking, in most times, only need in the inner region of keeping away from the external window provide artificial lighting can. However, due to the technical means, the construction cost and other reasons, a large number of offices still exist in China at present and cannot realize the illumination zone control of the inner area and the outer area, so that a large amount of electricity waste for manual illumination is caused. In addition, even if some offices realize the zone illumination control, most offices are controlled by a manual switch, the influence of human factors is large, and the actual control effect cannot be guaranteed.
Disclosure of Invention
The invention aims to solve the technical problem of the prior art and provides an office intelligent lighting control method and an office intelligent lighting control system.
In order to achieve the technical purpose, the technical scheme adopted by the invention is as follows:
an intelligent office lighting control method comprises the following steps:
step S1: inputting controlled room information, and storing related data in a cloud control module;
step S2: the cloud control module preprocesses the illumination weight matrix according to the room related data and sends a preprocessing result to the illumination control module;
step S3: the illumination control module estimates the room illumination distribution according to real-time dynamic meteorological data by combining with a rapid estimation algorithm of the room illumination;
step S4: the lighting control module calculates the dimming degree of the lamp by using a lamp target opening algorithm according to the room illumination distribution, and sends a control instruction to the lamp dimming driving module.
In order to optimize the technical scheme, the specific measures adopted further comprise:
further, the parameters related to the controlled room in step S1 include information about the floor position of the room, information about the size of the room, information about the relative shielding of the articles in the room, parameters of doors and windows, and information about the shelter around the building where the room is located.
Further, step S2 is specifically:
s21: acquiring weather data at the current moment through a weather data API provided by a small weather station or a weather data service provider deployed locally;
s22: according to meteorological data, a sky model is established by combining a sky model algorithm: a sky hemisphere blocking method is adopted, a sky hemisphere is divided into 145 small blocks, the position coordinate of each small sky block is (i, j), and a discretized sky model is obtained according to time, direct solar radiation intensity and scattered radiation intensity;
s23: calculating direct and scattered luminous flux contribution values of each sky small block, and issuing the direct and scattered luminous flux contribution values of each sky small block to an illumination control module, wherein the calculation process of the direct and scattered luminous flux contribution values of each sky small block is as follows:
Edirect injection(i，j)＝fDirect injection(SRDirect injection，SRScattering，Time)
EScattering(i，j)＝fScattering(SRDirect injection，SRScattering，Time)
Wherein: eDirect injection(i, j) is the direct luminous flux contribution of the sky patch (i, j), EScattering(i, j) is the scattered luminous flux contribution of the sky patch (i, j), fDirect injectionAnd fScatteringIs a sky modelCalculating functions in the type direct projection and scattering states; time is the Time under investigation; SRDirect injectionThe measured solar scattering intensity data at the current moment is obtained; SRScatteringThe measured direct solar radiation intensity data at the current moment is obtained.
Further, step S3 is specifically:
s31: the lighting control module acquires real-time dynamic meteorological data and performs sliding average, namely, the current time segment is averagely divided into a plurality of small segments, and the average value of the sampling data of each small segment is taken;
s32: calculating a direct radiation contribution weight value and a scattering contribution weight value of each sky small block by using a Monte Carlo ray tracing method, and calculating to obtain room illumination distribution by adopting a weighting integral mode according to the direct radiation weight value and the scattering weight value of each sky small block
Wherein: eroom(x, y) is the calculated illumination value at the coordinates (x, y) of the controlled room, WDirect radiation i, j(x, y) is the weight value of the contribution of the direct light of the small sky block (i, j) to the indoor coordinate (x, y), WScattering of i, j(x, y) is the weight of the contribution of scattered light of the sky patch (i, j) to the indoor coordinate (x, y).
Further, the algorithm of the target opening degree of the lamp in step S4 is specifically: and calculating the dimming degree of the lamp by combining the room illumination distribution according to the illumination control target value, wherein the calculation formula is as follows:
wherein: phi is the lamp dimming degree, C is a fixed coefficient and is determined by the type and power of the lamp; eTarget valueControlling a target for the illuminance of the room;
is a calculated average of the room illuminance.
An office intelligent illumination control system comprises a data entry module, a cloud control module, an illumination control module and a lamp dimming driving module, wherein the lamp dimming driving module is electrically connected with a lamp;
the data entry module is used for entering information of a controlled room and enabling the lamp dimming driving modules to correspond to the lamps one by one;
the cloud control module is used for preprocessing the recorded controlled room information by using an illumination weight matrix;
the illumination control module estimates room illumination distribution and dimming degrees of each target lamp by using real-time dynamic meteorological data and combining with a rapid room illumination estimation algorithm;
the lamp dimming driving module is used for dimming according to the dimming degree of the corresponding target lamp.
Furthermore, the data entry module adopts a mobile phone or a mobile computer, the cloud control module adopts a cloud server, the illumination control module adopts an illumination controller, and the lamp dimming driving module adopts a lamp dimming driver.
The invention has the beneficial effects that:
the method adopts a cloud computing mode to obtain the lighting characteristic matrix of each controlled room through pre-solving, and combines a simplified sky model algorithm, so that the illumination distribution of the room at any moment can be quickly estimated with little computing power; the invention adopts a distributed dimming control mode, combines a relatively accurate room illumination distribution calculation result, can reduce the unevenness of the room illumination to the maximum extent, and simultaneously saves the power consumption of manual illumination.
Drawings
Fig. 1 is a schematic structural view of the present invention.
FIG. 2 is a schematic diagram of the control relationship between the modules of the present invention.
Fig. 3 is a schematic view of a sky hemisphere block of the present invention.
Detailed Description
Embodiments of the present invention are described in further detail below with reference to the accompanying drawings.
As shown in fig. 1, the present invention is an office intelligent lighting control method, including the following steps:
step S1: and inputting the information of the controlled room, and storing the related data in the cloud control module.
The parameters related to the controlled room in step S1 include the floor position information of the room, the size information of the room, the relative shielding information of the articles in the room, the door and window parameters, and the information of the shielding objects around the building where the room is located.
Considering the actual position situation of an office, assuming that the total height of a floor of a building where the office is located is 20 floors, the floor where the office is located is 10 floors, and when no building higher than the floor exists, the situation is not needed to be considered; when the height of the building around the building is higher than the floor, whether the sunlight is shielded at a certain moment in the day needs to be confirmed, and if the sunlight is shielded, the information of the shelter around the building needs to be considered as an influence factor. If not, the combination of other factors is considered.
Step S2: the cloud control module preprocesses the illumination weight matrix according to the room related data and sends a preprocessing result to the illumination control module.
Step S2 specifically includes:
s21: weather data at the current moment is acquired through a weather data API provided by a small weather station or a weather data service provider deployed locally.
S22: according to meteorological data, a sky model is established by combining a sky model algorithm: a sky hemisphere blocking method is adopted, a sky hemisphere is divided into 145 small blocks, the position coordinate of each small sky block is (i, j), and a discretized sky model is obtained according to time, direct solar radiation intensity and scattered radiation intensity.
S23: calculating direct and scattered luminous flux contribution values of each sky small block, and issuing the direct and scattered luminous flux contribution values of each sky small block to an illumination control module, wherein the calculation process of the direct and scattered luminous flux contribution values of each sky small block is as follows:
Edirect injection(i，j)＝fDirect injection(SRDirect injection，SRScattering，Time)
EScattering(i，j)＝fScattering(SRDirect injection，SRScattering，Time)
Wherein: eDirect injection(i, j) is the direct luminous flux contribution of the sky patch (i, j), EScattering(i, j) is the scattered luminous flux contribution of the sky patch (i, j), fDirect injectionAnd fScatteringCalculating functions in the direct projection and scattering states of the sky model; time is the Time under investigation; SRDirect injectionThe measured solar scattering intensity data at the current moment is obtained; SRScatteringThe measured direct solar radiation intensity data at the current moment is obtained.
Direct light and scattered light flux contribution values of each sky small block are calculated through the partition of the sky model, and direct light and scattered light weight coefficients of each sky small block at different moments every day can be obtained by combining factors such as the orientation and the size of a window of a controlled room.
When the illumination weight matrix is preprocessed, weather conditions at the current moment are analyzed by combining meteorological data at the current moment, wherein the weather conditions comprise: a (sunny day), B (cloudy day), C (rainy day), etc. Firstly, a proper sky model is established by combining a sky model algorithm according to the weather condition of the current moment, then the sky model is analyzed, and the direct light and scattered light flux contribution values of each small sky block are calculated.
The sky model established by the method and the calculated direct and scattered luminous flux contribution values take influence factors of all aspects into consideration to the maximum extent and fit actual conditions to the maximum extent, so that the accuracy of the calculated direct and scattered luminous flux contribution values is also the highest.
Step S3: the illumination control module estimates the room illumination distribution according to real-time dynamic meteorological data and by combining with a rapid room illumination estimation algorithm.
Step S3 specifically includes:
s31: the lighting control module acquires real-time dynamic meteorological data and performs sliding average, namely, the current time segment is averagely divided into a plurality of small segments, and the average value of the sampling data of each small segment is taken.
For example: and averaging the historical sampling data every 5 minutes within 60min to reduce the influence of cloud amount and atmospheric transparency dynamic fluctuation on the control system.
S32: calculating a direct radiation contribution weight value and a scattering contribution weight value of each sky small block by using a Monte Carlo ray tracing method, and calculating to obtain room illumination distribution by adopting a weighting integral mode according to the direct radiation weight value and the scattering weight value of each sky small block
Wherein: eroom(x, y) is the calculated illumination value at the coordinates (x, y) of the controlled room, WDirect radiation i, j(x, y) is the weight value of the contribution of the direct light of the small sky block (i, j) to the indoor coordinate (x, y), WScattering of i, j(x, y) is the weight of the contribution of scattered light of the sky patch (i, j) to the indoor coordinate (x, y).
By means of weighting integration, the calculated room illumination distribution is dynamic distribution which changes with the sunlight at any moment, so that normal illumination requirements of the room are guaranteed, and electricity is saved to the maximum extent.
Step S4: the lighting control module calculates the dimming degree of the lamp by using a lamp target opening algorithm according to the room illumination distribution, and sends a control instruction to the lamp dimming driving module.
The lamp target opening algorithm specifically comprises the following steps: and calculating the dimming degree of the lamp by combining the room illumination distribution according to the illumination control target value, wherein the calculation formula is as follows:
wherein: phi is the lamp dimming degree, C is a fixed coefficient and is determined by the type and power of the lamp; eTarget valueControlling a target for the illuminance of the room;
is a calculated average of the room illuminance.
As shown in fig. 2, the lighting control module controls the multiple lamp dimming driving modules, and adjusts the lamps at different positions in the room according to the calculated optimal illuminance, for example, the illuminance is divided into: the A-H grades are sequentially increased in illumination, wherein the A grade corresponds to the illumination at the brightest lighting moment of a room in a day, and the H grade corresponds to the worst lighting moment in the day. The position of the lamp is divided into: a rating of 1-10, a rating of 1 corresponding to a location near a window or door, a rating of 10 corresponding to a location away from a window or door, and the lighting control module then calculates the illumination of the light fixture from its location, for example: the lighting fixture 1 is close to the door and window, and the lighting degree is the best, so the illumination of the lighting fixture is close to the grade A, and the lighting fixture 2 is far away from the door and window, and the lighting degree is the worst, so the illumination of the lighting fixture is close to the grade H.
Therefore, the illumination control module sends the illumination control target value required by each lamp to the corresponding lamp dimming driving module, the lamp dimming driving module adjusts the illumination, and when the sunlight or the weather changes, the illumination control module can recalculate the latest illumination and send the latest illumination to the corresponding lamp dimming driving module to adjust again.
The utility model provides an office intelligence lighting control system, includes data entry module, high in the clouds control module, lighting control module, lamps and lanterns drive module that adjusts luminance, lamps and lanterns drive module and lamps and lanterns electric connection that adjusts luminance.
The data entry module is used for entering information of a controlled room and enabling the lamp dimming driving modules to correspond to the lamps one by one;
the cloud control module is used for preprocessing the recorded controlled room information by using an illumination weight matrix;
the illumination control module estimates room illumination distribution and dimming degrees of each target lamp by using real-time dynamic meteorological data and combining with a rapid room illumination estimation algorithm;
the lamp dimming driving module is used for dimming according to the dimming degree of the corresponding target lamp.
The data entry module adopts a mobile phone or a mobile computer, the cloud control module adopts a cloud server, the illumination control module adopts an illumination controller, and the lamp dimming drive module adopts a lamp dimming driver.
Through the system, the subarea lighting control is realized, the manual on-off control is not needed, the most appropriate lighting requirements at different moments are ensured, the waste of electric energy is greatly reduced, and the optimal control effect is ensured.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may be made by those skilled in the art without departing from the principle of the invention.
Claims (7)
1. An intelligent illumination control method for an office is characterized by comprising the following steps:
step S1: inputting controlled room information, and storing related data in a cloud control module;
step S2: the cloud control module preprocesses the illumination weight matrix according to the room related data and sends a preprocessing result to the illumination control module;
step S3: the illumination control module estimates the room illumination distribution according to real-time dynamic meteorological data by combining with a rapid estimation algorithm of the room illumination;
step S4: the lighting control module calculates the dimming degree of the lamp by using a lamp target opening algorithm according to the room illumination distribution, and sends a control instruction to the lamp dimming driving module.
2. An intelligent lighting control method for offices according to claim 1, wherein: the parameters related to the controlled room in step S1 include floor position information of the room, room size information, relative shielding information of articles in the room, door and window parameters, and information of the shelters around the building where the room is located.
3. An intelligent lighting control method for offices according to claim 2, wherein: the step S2 specifically includes:
s21: acquiring weather data at the current moment through a weather data API provided by a small weather station or a weather data service provider deployed locally;
s22: according to meteorological data, a sky model is established by combining a sky model algorithm: a sky hemisphere blocking method is adopted, a sky hemisphere is divided into 145 small blocks, the position coordinate of each small sky block is (i, j), and a discretized sky model is obtained according to time, direct solar radiation intensity and scattered radiation intensity;
s23: calculating direct and scattered luminous flux contribution values of each sky small block, and issuing the direct and scattered luminous flux contribution values of each sky small block to an illumination control module, wherein the calculation process of the direct and scattered luminous flux contribution values of each sky small block is as follows:
Edirect injection(i,j)＝fDirect injection(SRDirect injection,SRScattering,Time)
EScattering(i,j)＝fScattering(SRDirect injection,SRScattering,Time)
Wherein: eDirect injection(i, j) is the direct luminous flux contribution of the sky patch (i, j), EScattering(i, j) is the scattered luminous flux contribution of the sky patch (i, j), fDirect injectionAnd fScatteringCalculating functions in the direct projection and scattering states of the sky model; time is the Time under investigation; SRDirect injectionThe measured solar scattering intensity data at the current moment is obtained; SRScatteringThe measured direct solar radiation intensity data at the current moment is obtained.
4. An intelligent lighting control method for offices according to claim 3, wherein: the step S3 specifically includes:
s31: the lighting control module acquires real-time dynamic meteorological data and performs sliding average, namely, the current time segment is averagely divided into a plurality of small segments, and the average value of the sampling data of each small segment is taken;
s32: calculating a direct radiation contribution weight value and a scattering contribution weight value of each sky small block by using a Monte Carlo ray tracing method, and calculating to obtain room illumination distribution by adopting a weighting integral mode according to the direct radiation weight value and the scattering weight value of each sky small block
Wherein: eroom(x, y) is the calculated illumination value at the coordinates (x, y) of the controlled room, WDirect radiation i, j(x, y) is the weight value of the contribution of the direct light of the small sky block (i, j) to the indoor coordinate (x, y), WScattering of i, j(x, y) is the weight of the contribution of scattered light of the sky patch (i, j) to the indoor coordinate (x, y).
5. The intelligent office lighting control method according to claim 4, wherein the target lamp opening degree algorithm in step S4 is specifically: and calculating the dimming degree of the lamp by combining the room illumination distribution according to the illumination control target value, wherein the calculation formula is as follows:
wherein: phi is the lamp dimming degree, C is a fixed coefficient and is determined by the type and power of the lamp; eTarget valueControlling a target for the illuminance of the room;
is a calculated average of the room illuminance.
6. An office intelligence lighting control system which characterized in that: the intelligent lighting system comprises a data entry module, a cloud control module, a lighting control module and a lamp dimming driving module, wherein the lamp dimming driving module is electrically connected with a lamp;
the data entry module is used for entering information of a controlled room and enabling the lamp dimming driving modules to correspond to the lamps one by one;
the cloud control module is used for preprocessing the recorded controlled room information by using an illumination weight matrix;
the illumination control module estimates room illumination distribution and dimming degrees of each target lamp by using real-time dynamic meteorological data and combining with a rapid room illumination estimation algorithm;
the lamp dimming driving module is used for dimming according to the dimming degree of the corresponding target lamp.
7. An office intelligent lighting control system according to claim 6, wherein: the data entry module adopts cell-phone or mobile computer, high in the clouds control module adopts the cloud ware, lighting control module adopts lighting controller, lamps and lanterns drive module that adjusts luminance adopts the lamps and lanterns driver that adjusts luminance.
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| CN118870623A (en) * | 2024-09-26 | 2024-10-29 | 浙江中控信息产业股份有限公司 | A building intelligent illumination control method and system based on BIM and digital twin technology |
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