CN116582970A - Tunnel illumination control method and tunnel illumination system - Google Patents

Tunnel illumination control method and tunnel illumination system Download PDF

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Publication number
CN116582970A
CN116582970A CN202310866462.0A CN202310866462A CN116582970A CN 116582970 A CN116582970 A CN 116582970A CN 202310866462 A CN202310866462 A CN 202310866462A CN 116582970 A CN116582970 A CN 116582970A
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model
coefficient
control
sub
brightness
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CN116582970B (en
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罗廷
陈谋
杨新春
李博
范安军
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Sichuan Highway Engineering Consulting And Supervision Co ltd
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Sichuan Highway Engineering Consulting And Supervision Co ltd
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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
    • H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
    • H05B45/10—Controlling the intensity of the light
    • H05B45/12—Controlling the intensity of the light using optical feedback
    • 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
    • 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
    • H05B47/165—Controlling the light source following a pre-assigned programmed sequence; Logic control [LC]
    • 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • 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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  • Circuit Arrangement For Electric Light Sources In General (AREA)

Abstract

The invention discloses a tunnel illumination control method and a tunnel illumination system, which belong to the field of automatic control.

Description

Tunnel illumination control method and tunnel illumination system
Technical Field
The invention relates to the technical field of automatic control, in particular to a tunnel illumination control method and a tunnel illumination system.
Background
A plurality of lighting devices are arranged in the tunnel, the lighting brightness of the lighting devices is formulated according to the national standard, but the lighting devices can age along with the service life of the lighting devices, meanwhile, the brightness of the lighting devices can be influenced by dust, and meanwhile, the brightness in the tunnel can be influenced by the change of sun illumination caused by the change of seasons. The illumination brightness in the tunnel is changed along with the change of traffic flow or time, so that the illumination brightness in the tunnel is stably controlled in a proper range, the illumination brightness in the tunnel is collected and fed back to the controller, the controller improves the output current of the lighting equipment when the illumination brightness is lower than the target brightness, and reduces the output current of the lighting equipment when the illumination brightness is higher than the target brightness, thereby realizing brightness change.
Disclosure of Invention
Aiming at the defects in the prior art, the tunnel illumination control method and the tunnel illumination system provided by the invention solve the problem that the illumination brightness in the tunnel is greatly oscillated in the conventional tunnel illumination control method.
In order to achieve the aim of the invention, the invention adopts the following technical scheme: a tunnel lighting control method, comprising the steps of:
s1, establishing a control model;
s2, calibrating specific values of coefficients in the control model to obtain an LED multi-order control model;
s3, measuring illumination brightness in the tunnel to be detected by adopting a photosensitive sensor to obtain brightness data;
s4, filtering and sampling the brightness data to obtain a corrected brightness value;
s5, controlling the LED equipment based on the LED multi-order control model according to the corrected brightness value and the target brightness value.
Further, the control model in the S1 comprises a first-order control sub-model, a second-order control sub-model and an output adjustment sub-model;
the first-order control sub-model is used for obtaining a first output quantity according to the difference value between the actually measured brightness value and the target brightness value;
the second-order control sub-model is used for obtaining a second output quantity according to the first output quantity;
the output adjustment sub-model is used for adjusting the second output quantity to obtain the control quantity.
Further, the expression of the first-order control submodel is:
，
，
wherein ,is->First output at sub-regulation, +.>Is->Luminance difference at sub-adjustment, +.>Is the firstLuminance difference at sub-adjustment, +.>Is->Luminance difference at sub-adjustment, +.>Is->Actually measured brightness value at secondary adjustment, < >>Is->Target brightness value at secondary adjustment, +.>Is a first coefficient>Is a second coefficient>Is the third coefficient.
The beneficial effects of the above further scheme are: the invention calculates the difference between the current measured brightness value and the target brightness value, adjusts the control of the LED equipment according to the difference condition, and controls the LED equipment byThe adjusting direction is known, so that excessive adjustment is avoided, the current actually measured brightness value approaches the target brightness value infinitely, and the problem that the illumination brightness fluctuates up and down at the target brightness is solved.
Further, the expression of the second-order control submodel is:
，
，
wherein ,is->Second output at secondary adjustment, +.>Is->Control difference at secondary adjustment, +.>Is the firstControl difference at secondary adjustment, +.>Is->Control difference at secondary adjustment, +.>Is->Second output at secondary adjustment, +.>For the fourth coefficient, +>For the fifth coefficient, +.>And is the sixth coefficient.
The beneficial effects of the above further scheme are: the invention further optimizes the output of the first-order control submodel through the second-order control submodel, and the method comprises the following steps ofHeng Liangchu the difference between the output of the first-order control sub-model and the output of the second-order control sub-model is used for fine tuning the first-order control sub-model through the second-order control sub-model, so that the output is more accurate, and the output of the first-order control sub-model is also used forThe LED multi-stage control model has double feedback for feedback quantity, and the purpose of stable control is achieved.
Further, the expression of the output adjustment submodel is:
，
wherein ,is->Control amount at secondary adjustment, +.>Is a proportional coefficient->Is the coefficient of deviation.
The beneficial effects of the above further scheme are: the output adjustment sub-model is further provided with a proportional coefficient and a deviation coefficient, and is used for adjusting the output quantity of the second-order control sub-model, so that parameter adjustment is more flexible, and control accuracy is improved.
Further, the step S2 includes the following sub-steps:
s21, setting initial values for all coefficients in a control model;
s22, setting a target brightness value, and obtaining model stabilization time based on a current control model;
s23, judging whether the model stabilization time is smaller than a stabilization threshold, if so, determining that the current control model is an LED multi-stage control model, and if not, jumping to the step S24;
and S24, optimizing the coefficient according to the model stabilization time, and jumping to the step S22.
The beneficial effects of the above further scheme are: the specific value of the coefficient in the control model determines the stability time of the control model in specific use, and if the stability time is long or the stability is impossible, the specific value of the coefficient needs to be optimized to find a better coefficient. The stabilization time in the invention is as follows: and when the control model runs, the actual measured brightness value is adjusted to be close to the target brightness value.
Further, optimizing the coefficients according to the model stabilization time in S24 includes the following steps:
a1, setting a demarcation threshold value;
a2, when the model stabilization time is greater than or equal to the demarcation threshold value, carrying out enhancement treatment on the difference value between the model stabilization time and the demarcation threshold value to obtain an enhancement coefficient;
a3, optimizing the current coefficient according to the enhancement coefficient;
a4, when the model stabilization time is smaller than the demarcation threshold value, weakening the difference value between the model stabilization time and the stabilization threshold value to obtain a weakening coefficient;
a5, optimizing the current coefficient according to the weakening coefficient, wherein the current coefficient comprises、/>、/>、/>、、/>、/> and />。
The beneficial effects of the above further scheme are: the invention sets the process of sectioning the optimization coefficient, when the model stabilization time is greater than or equal to the demarcation threshold value, the model stabilization time is too long, the invention sets the enhancement coefficient, optimizes the current coefficient, and when the model stabilization time is less than the demarcation threshold value, sets the weakening coefficient, optimizes the current coefficient.
Further, the formula for optimizing the current coefficient in A3 is:
，
，
wherein ,is->Sub-optimal coefficients,/->Is->Sub-optimal coefficients,/->For enhancing the coefficient->Is->Model stabilization time at sub-optimization, +.>For demarcation threshold value->Is a natural constant.
The beneficial effects of the above further scheme are: according to the invention, the difference value between the model stabilization time and the demarcation threshold value is enhanced through the exponential function, and when the enhancement coefficient is larger, the new coefficient is smaller, so that the quick adjustment of the coefficient is realized.
Further, the formula for optimizing the current coefficient in A5 is:
，
，
wherein ,is->Sub-optimal coefficients,/->Is->Sub-optimal coefficients,/->To weaken the coefficient->Is->Model stabilization time at sub-optimization, +.>For stabilizing threshold value->As an arctangent function, +.>Is a demarcation threshold.
The further proposal has the beneficial effects that: the invention measures the difference between the model stabilization time and the stabilization threshold value through two parts, and the model stabilization time and the stabilization threshold value are measured through and />The product of the coefficients is reduced, so that the change condition of the coefficients is slowed down, and the gradual searching of the proper coefficients is realized.
Further, the formula for obtaining the corrected luminance value in S4 is:
，
wherein ,to correct the brightness value +.>For the luminance coefficient +.>Is->Filtered data of individual samples,/>Is the number of samplings.
The beneficial effects of the above further scheme are: according to the invention, the brightness data condition in a period of time is obtained through weighting each filtering data, and then the brightness data condition is converted into a specific brightness value through brightness coefficients.
A tunnel lighting system of a tunnel lighting control method, comprising: the system comprises a model building unit, a photosensitive sensor, a brightness calculating unit and a control unit;
the model building unit is used for building a control model, and calibrating specific values of coefficients in the control model to obtain an LED multi-order control model;
the photosensitive sensor is used for measuring illumination brightness in the tunnel to be detected to obtain brightness data;
the brightness calculation unit is used for filtering and sampling brightness data to obtain corrected brightness values;
the control unit is used for controlling the LED equipment based on the LED multi-order control model according to the corrected brightness value and the target brightness value.
In summary, the invention has the following beneficial effects: according to the invention, a control model is built, specific values of coefficients in the control model are set up, a built LED multi-stage control model is obtained, a photosensitive sensor is used for collecting brightness data, filtering treatment is carried out on the brightness data, the influence of noise is avoided, meanwhile, sampling treatment is carried out on the filtering data, so that the brightness data in a period of time is obtained, the measurement of the brightness in a period of time is realized, the stable adjustment of the illumination brightness in a tunnel is realized through the LED multi-stage control model, and the problem of overlarge oscillation during the adjustment of the illumination brightness in the tunnel is solved.
Drawings
Fig. 1 is a flow chart of a tunnel lighting control method.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and all the inventions which make use of the inventive concept are protected by the spirit and scope of the present invention as defined and defined in the appended claims to those skilled in the art.
As shown in fig. 1, a tunnel illumination control method includes the following steps:
s1, establishing a control model;
the control model in the S1 comprises a first-order control sub-model, a second-order control sub-model and an output adjustment sub-model;
the first-order control sub-model is used for obtaining a first output quantity according to the difference value between the actually measured brightness value and the target brightness value;
the second-order control sub-model is used for obtaining a second output quantity according to the first output quantity;
the output adjustment sub-model is used for adjusting the second output quantity to obtain the control quantity.
The expression of the first-order control submodel is:
，
，
wherein ,is->First output at sub-regulation, +.>Is->Luminance difference at sub-adjustment, +.>Is the firstLuminance difference at sub-adjustment, +.>Is->Luminance difference at sub-adjustment, +.>Is->Minor adjustmentsActually measured luminance value at the time, +.>Is->Target brightness value at secondary adjustment, +.>Is a first coefficient>Is a second coefficient>Is the third coefficient.
The invention calculates the difference between the current measured brightness value and the target brightness value, adjusts the control of the LED equipment according to the difference condition, and controls the LED equipment byThe adjusting direction is known, so that excessive adjustment is avoided, the current actually measured brightness value approaches the target brightness value infinitely, and the problem that the illumination brightness fluctuates up and down at the target brightness is solved.
The expression of the second-order control submodel is as follows:
，
，
wherein ,is->Second output at secondary adjustment, +.>Is->Control difference at secondary adjustment, +.>Is the firstControl difference at secondary adjustment, +.>Is->Control difference at secondary adjustment, +.>Is->Second output at secondary adjustment, +.>For the fourth coefficient, +>For the fifth coefficient, +.>And is the sixth coefficient.
The invention further optimizes the output of the first-order control submodel through the second-order control submodel, and the method comprises the following steps ofHeng Liangchu the difference of the output quantity of the first-order control sub-model and the output quantity of the second-order control sub-model is finely adjusted through the second-order control sub-model, so that the output quantity is more accurate, and meanwhile, the output quantity of the first-order control sub-model is also used as feedback quantity, so that the LED multi-order control model has double feedback, and the purpose of stable control is achieved.
The expression of the output adjustment submodel is as follows:
，
wherein ,is->Control amount at secondary adjustment, +.>Is a proportional coefficient->Is the coefficient of deviation.
The output adjustment sub-model is further provided with a proportional coefficient and a deviation coefficient, and is used for adjusting the output quantity of the second-order control sub-model, so that parameter adjustment is more flexible, and control accuracy is improved.
S2, calibrating specific values of coefficients in the control model to obtain an LED multi-order control model;
the step S2 comprises the following sub-steps:
s21, setting initial values for all coefficients in a control model;
s22, setting a target brightness value, and obtaining model stabilization time based on a current control model;
s23, judging whether the model stabilization time is smaller than a stabilization threshold, if so, determining that the current control model is an LED multi-stage control model, and if not, jumping to the step S24;
and S24, optimizing the coefficient according to the model stabilization time, and jumping to the step S22.
The specific value of the coefficient in the control model determines the stability time of the control model in specific use, and if the stability time is long or the stability is impossible, the specific value of the coefficient needs to be optimized to find a better coefficient. The stabilization time in the invention is as follows: and when the control model runs, the actual measured brightness value is adjusted to be close to the target brightness value.
When the difference between the actually measured brightness value and the target brightness value is smaller than the brightness difference threshold, the control model is considered to be stable.
The optimizing the coefficient according to the model stabilization time in S24 includes the following steps:
a1, setting a demarcation threshold value;
a2, when the model stabilization time is greater than or equal to the demarcation threshold value, carrying out enhancement treatment on the difference value between the model stabilization time and the demarcation threshold value to obtain an enhancement coefficient;
a3, optimizing the current coefficient according to the enhancement coefficient;
a4, when the model stabilization time is smaller than the demarcation threshold value, weakening the difference value between the model stabilization time and the stabilization threshold value to obtain a weakening coefficient;
a5, optimizing the current coefficient according to the weakening coefficient, wherein the current coefficient comprises、/>、/>、/>、、/>、/> and />。
The invention sets the process of sectioning the optimization coefficient, when the model stabilization time is greater than or equal to the demarcation threshold value, the model stabilization time is too long, the invention sets the enhancement coefficient, optimizes the current coefficient, and when the model stabilization time is less than the demarcation threshold value, sets the weakening coefficient, optimizes the current coefficient.
The formula for optimizing the current coefficient in the A3 is as follows:
，
，
wherein ,is->Sub-optimal coefficients,/->Is->Sub-optimal coefficients,/->For enhancing the coefficient->Is->Model stabilization time at sub-optimization, +.>For demarcation threshold value->Is a natural constant.
According to the invention, the difference value between the model stabilization time and the demarcation threshold value is enhanced through the exponential function, and when the enhancement coefficient is larger, the new coefficient is smaller, so that the quick adjustment of the coefficient is realized.
The formula for optimizing the current coefficient in the A5 is as follows:
，
，
wherein ,is->Sub-optimal coefficients,/->Is->Sub-optimal coefficients,/->To weaken the coefficient->Is->Model stabilization time at sub-optimization, +.>For stabilizing threshold value->As an arctangent function, +.>Is a demarcation threshold.
The invention measures the difference between the model stabilization time and the stabilization threshold value through two parts, and the model stabilization time and the stabilization threshold value are measured throughAndthe product of the coefficients is reduced, so that the change condition of the coefficients is slowed down, and the gradual searching of the proper coefficients is realized.
In the present invention、/>、/>、/>、/>、/>、/> and />Each coefficient can be set through an empirical value, and then one or more coefficients are searched for a better coefficient which enables the model to be stable for a faster time according to the content recorded in S2.
S3, measuring illumination brightness in the tunnel to be detected by adopting a photosensitive sensor to obtain brightness data;
s4, filtering and sampling the brightness data to obtain a corrected brightness value;
in this embodiment, a low-pass filtering method may be employed.
S4 specifically comprises the following steps: the brightness data is filtered to solve noise, and then the filtered data is sampled, so that the brightness data in a longer period of time is extracted.
The formula for obtaining the corrected brightness value in the step S4 is as follows:
，
wherein ,to correct the brightness value +.>For the luminance coefficient +.>Is->Filtered data of individual samples,/>Is the number of samplings.
According to the invention, the brightness data condition in a period of time is obtained through weighting each filtering data, and then the brightness data condition is converted into a specific brightness value through brightness coefficients.
S5, controlling the LED equipment based on the LED multi-order control model according to the corrected brightness value and the target brightness value.
A tunnel lighting system of a tunnel lighting control method, comprising: the system comprises a model building unit, a photosensitive sensor, a brightness calculating unit and a control unit;
the model building unit is used for building a control model, and calibrating specific values of coefficients in the control model to obtain an LED multi-order control model;
the photosensitive sensor is used for measuring illumination brightness in the tunnel to be detected to obtain brightness data;
the brightness calculation unit is used for filtering and sampling brightness data to obtain corrected brightness values;
the control unit is used for controlling the LED equipment based on the LED multi-order control model according to the corrected brightness value and the target brightness value.
In summary, the invention has the following beneficial effects: according to the invention, a control model is built, specific values of coefficients in the control model are set up, a built LED multi-stage control model is obtained, a photosensitive sensor is used for collecting brightness data, filtering treatment is carried out on the brightness data, the influence of noise is avoided, meanwhile, sampling treatment is carried out on the filtering data, so that the brightness data in a period of time is obtained, the measurement of the brightness in a period of time is realized, the stable adjustment of the illumination brightness in a tunnel is realized through the LED multi-stage control model, and the problem of overlarge oscillation during the adjustment of the illumination brightness in the tunnel is solved.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A tunnel lighting control method, comprising the steps of:
s1, establishing a control model;
s2, calibrating specific values of coefficients in the control model to obtain an LED multi-order control model;
s3, measuring illumination brightness in the tunnel to be detected by adopting a photosensitive sensor to obtain brightness data;
s4, filtering and sampling the brightness data to obtain a corrected brightness value;
s5, controlling the LED equipment based on the LED multi-order control model according to the corrected brightness value and the target brightness value.
2. The tunnel illumination control method according to claim 1, wherein the control model in S1 includes a first-order control sub-model, a second-order control sub-model, and an output adjustment sub-model;
the first-order control sub-model is used for obtaining a first output quantity according to the difference value between the actually measured brightness value and the target brightness value;
the second-order control sub-model is used for obtaining a second output quantity according to the first output quantity;
the output adjustment sub-model is used for adjusting the second output quantity to obtain the control quantity.
3. The tunnel illumination control method according to claim 2, wherein the expression of the first-order control submodel is:
，
，
wherein ,is->First output at sub-regulation, +.>Is->Luminance difference at sub-adjustment, +.>Is->Luminance difference at sub-adjustment, +.>Is->When adjusting the timesLuminance difference of>Is->Actually measured brightness value at secondary adjustment, < >>Is->Target brightness value at secondary adjustment, +.>Is a first coefficient>Is a second coefficient>Is the third coefficient.
4. A tunnel lighting control method according to claim 3, wherein the expression of the second level control submodel is:
，
，
wherein ,is->Second output at secondary adjustment, +.>Is->Control difference at secondary adjustment, +.>Is->Control difference at secondary adjustment, +.>Is->Control difference at secondary adjustment, +.>Is->Second output at secondary adjustment, +.>For the fourth coefficient, +>For the fifth coefficient, +.>And is the sixth coefficient.
5. The tunnel illumination control method according to claim 4, wherein the expression of the output adjustment submodel is:
，
wherein ,is->Control amount at secondary adjustment, +.>Is a proportional coefficient->Is the coefficient of deviation.
6. The tunnel illumination control method according to claim 5, wherein the S2 includes the sub-steps of:
s21, setting initial values for all coefficients in a control model;
s22, setting a target brightness value, and obtaining model stabilization time based on a current control model;
s23, judging whether the model stabilization time is smaller than a stabilization threshold, if so, determining that the current control model is an LED multi-stage control model, and if not, jumping to the step S24;
and S24, optimizing the coefficient according to the model stabilization time, and jumping to the step S22.
7. The tunnel illumination control method according to claim 6, wherein optimizing the coefficients according to the model stabilization time in S24 comprises the steps of:
a1, setting a demarcation threshold value;
a2, when the model stabilization time is greater than or equal to the demarcation threshold value, carrying out enhancement treatment on the difference value between the model stabilization time and the demarcation threshold value to obtain an enhancement coefficient;
a3, optimizing the current coefficient according to the enhancement coefficient;
a4, when the model stabilization time is smaller than the demarcation threshold value, weakening the difference value between the model stabilization time and the stabilization threshold value to obtain a weakening coefficient;
a5, optimizing the current coefficient according to the weakening coefficient, wherein the current coefficient comprises、/>、/>、/>、/>、/>、/> and />。
8. The tunnel illumination control method according to claim 7, wherein the formula for optimizing the current coefficient in A3 is:
，
，
wherein ,is->Sub-optimal coefficients,/->Is->Sub-optimal coefficients,/->For enhancing the coefficient->Is the firstModel stabilization time at sub-optimization, +.>For demarcation threshold value->Is a natural constant;
the formula for optimizing the current coefficient in the A5 is as follows:
，
，
wherein ,is->Sub-optimal coefficients,/->Is->Sub-optimal coefficients,/->To weaken the coefficient->Is->Model stabilization time at sub-optimization, +.>For stabilizing threshold value->As an arctangent function, +.>Is a demarcation threshold.
9. The tunnel illumination control method according to claim 1, wherein the formula for obtaining the corrected luminance value in S4 is:
，
wherein ,to correct the brightness value +.>For the luminance coefficient +.>Is->Filtered data of individual samples,/>Is the number of samplings.
10. A tunnel lighting system according to the tunnel lighting control method according to any one of claims 1 to 9, characterized by comprising: the system comprises a model building unit, a photosensitive sensor, a brightness calculating unit and a control unit;
the model building unit is used for building a control model, and calibrating specific values of coefficients in the control model to obtain an LED multi-order control model;
the photosensitive sensor is used for measuring illumination brightness in the tunnel to be detected to obtain brightness data;
the brightness calculation unit is used for filtering and sampling brightness data to obtain corrected brightness values;
the control unit is used for controlling the LED equipment based on the LED multi-order control model according to the corrected brightness value and the target brightness value.
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