A method for adaptively controlling light intensity based on frequency modulation

Abstract

The present invention provides a method for adaptively controlling light intensity based on frequency modulation. The method comprises the following steps: first, obtaining a light-on signal and a preset light target intensity curve; discretely dividing the light-on signal using a preset signal function to obtain a plurality of discrete time periods of equal time; filling each discrete time period with equal intervals using a preset pulse signal, and calculating the number of pulses in each discrete time period; then calculating the actual number of light pulses in each discrete time period in combination with the preset light target intensity curve, obtaining a light intensity control signal, and finally performing real-time control and adaptive regulation of the light intensity; the present invention uses a simple frequency modulation algorithm and does not significantly increase the CPU burden. It can realize adaptive adjustment of the light intensity over time, thereby improving the portability and user experience of the light; at the same time, the present invention does not require the addition of additional sensors or circuits, can save additional device expenses, and effectively reduce costs.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent lighting control and signal modulation, and more particularly to a method for adaptively controlling light intensity of a light based on frequency modulation. Background Art

[0002] With the widespread adoption of fiber-to-the-home (FTTH) technology, nearly every household has an ONU (Optical Network Unit) device. The flashing indicator light on these devices can be a source of discomfort for some users at night. Currently, most products use push-button control, requiring users to manually turn the lights off at night. Alternatively, these devices use MOSFETs or CPUs to control the lights on and off. While this approach allows for on-screen control, it still presents operational inconvenience and increased material costs. Therefore, a solution that can automatically adjust light intensity over time is urgently needed to enhance the user experience.

[0003] The prior art discloses a user-programmable LED light control method, system, and device. The method includes: determining a start time of the LED lights based on geographic location information and seasonal information; adjusting a first light intensity of the LED light group based on visibility information; detecting whether a person is within the searchlight range of each LED light using an infrared sensor; maintaining the first light intensity of the first LED light when a person is within the searchlight range of the first LED light; and adjusting the first light intensity of the second LED light to a second light intensity that is less than the first light intensity when no one is within the searchlight range of the second LED light. Although this prior art solution can adjust the start time of the LED lights based on geographic environment and seasonal information, and can adjust the light intensity of the LED lights based on whether a person is within the searchlight range, it is still controlled through CPU programming and additionally includes an infrared sensor to detect whether a person is within the searchlight range of the LED lights, resulting in complex control, a low degree of automation, and high material costs. In addition, this solution only provides two light intensities to adapt to different environments, resulting in a small control range and insufficient linearity in light control. Summary of the Invention

[0004] In order to overcome the defects of the above-mentioned existing technologies such as complex control, low degree of automation, high material cost and insufficient linearity of lighting control, the present invention provides a method for adaptive control of light intensity based on frequency modulation. By setting a simple frequency modulation algorithm, it will not significantly increase the CPU burden and can achieve adaptive adjustment of the light intensity over time. At the same time, the use of frequency debugging can save additional device expenses and reduce costs.

[0005] In order to solve the above technical problems, the technical solutions of the present invention are as follows:

[0006] A method for adaptively controlling light intensity of a lamp based on frequency modulation comprises the following steps:

[0007] S1: Obtain the lighting signal of the light and the preset light target intensity curve;

[0008] S2: discretely segmenting the lighting signal using a preset signal function to obtain a number of discrete time periods of equal duration;

[0009] S3: Filling each discrete time period with an equal interval using a preset pulse signal, and calculating the number of pulses in each discrete time period according to the function value of the preset signal function;

[0010] S4: Calculating the actual number of light pulses in each discrete time period based on the preset light target intensity curve and the number of pulses in each discrete time period, and converting the light lighting signal into a light intensity control signal;

[0011] S5: Control the light intensity in real time according to the light intensity control signal, and complete the adaptive regulation of the light intensity over time.

[0012] Preferably, in step S1, the lighting signal of the light is a periodic square wave switching signal;

[0013] The preset light target intensity curve is used to represent the light target intensity at various times of the day.

[0014] Preferably, the period of the lighting signal of the light is 1 s, the maximum value of the square wave is 3.3, the minimum value is 0, and the duty cycle in each period is 50%.

[0015] Preferably, the preset light target intensity curve is specifically:

[0016] At 0 to 6 in real time, the target light intensity is 0;

[0017] At 6:00 to 10:00 in real time, the target light intensity increases from 0 to 60% of the maximum light intensity at a rate of 15% of the maximum light intensity per hour;

[0018] At 10:00 to 11:00 in real time, the target light intensity increases from 60% of the maximum light intensity to 80% of the maximum light intensity at a rate of 20% of the maximum light intensity per hour;

[0019] At 11:00 to 12:00 in real time, the target light intensity increases from 80% of the maximum light intensity to 95% of the maximum light intensity at a rate of 15% of the maximum light intensity per hour;

[0020] At 12:00 to 13:00 in real time, the target light intensity increases from 95% of the maximum light intensity to 100% of the maximum light intensity at a rate of 5% of the maximum light intensity per hour;

[0021] At 13:00 to 14:00 in real time, the target light intensity of the light decreases from 100% of the maximum light intensity to 95% of the maximum light intensity at a rate of 5% of the maximum light intensity per hour;

[0022] At 2:00 PM to 3:00 PM in real time, the target light intensity decreases from 95% of the maximum light intensity to 80% of the maximum light intensity at a rate of 15% of the maximum light intensity per hour.

[0023] At 3:00 PM to 4:00 PM in real time, the target light intensity decreases from 80% of the maximum light intensity to 60% of the maximum light intensity at a rate of 20% of the maximum light intensity per hour;

[0024] At 16:00 to 17:00 in real time, the target light intensity of the light decreases from 60% of the maximum light intensity to 50% of the maximum light intensity at a rate of 10% of the maximum light intensity per hour;

[0025] At 5:00 PM to 6:00 PM in real time, the target light intensity decreases from 50% of the maximum light intensity to 35% of the maximum light intensity at a rate of 15% of the maximum light intensity per hour.

[0026] From 6:00 PM to 10:00 PM in real time, the target light intensity decreases from 35% of the maximum light intensity to 30% of the maximum light intensity at a rate of 1.25% of the maximum light intensity per hour.

[0027] From 22:00 to 24:00 in real time, the target light intensity of the light decreases from 30% of the maximum light intensity to 0 at a rate of 15% of the maximum light intensity per hour.

[0028] Preferably, in step S2, the waveform of the preset signal function is a sine wave; the period, maximum value, minimum value and phase of the sine wave are the same as the lighting signal of the light.

[0029] Preferably, the mathematical expression of the preset signal function is specifically:

[0030] y=1.65sin(2πt)+1.65

[0031] Wherein, y is the function value of the preset signal function; t is the time.

[0032] Preferably, the number of discrete time periods obtained in step S2 is 40.

[0033] Preferably, in step S3, the preset pulse signal has a period of 1 ms and an amplitude of 25;

[0034] The number of pulses in each discrete time period is calculated according to the following formula:

[0035]

[0036] yi =1.65sin(2πt i )+1.65

[0037] Among them, N i is the number of pulses in the i-th discrete time period; y i is the function value of the preset signal function corresponding to the i-th discrete time period; i is the middle moment of the i-th discrete time period; is the floor function.

[0038] Preferably, in step S4, the actual number of pulses N of the light in each discrete time period is calculated according to the following formula: i ′:

[0039]

[0040] Among them, I i is the target light intensity of the light in the i-th discrete time period corresponding to the real time; I max The maximum light intensity of the light.

[0041] Preferably, the light is specifically an LED indicator light of the ONU device.

[0042] Compared with the prior art, the beneficial effects of the technical solution of the present invention are:

[0043] The present invention provides a method for adaptively controlling light intensity based on frequency modulation. The method comprises the following steps: first, obtaining a light on signal and a preset light target intensity curve; then, using a preset signal function, discretely dividing the light on signal to obtain a plurality of discrete time periods of equal duration; then, using a preset pulse signal to fill equal intervals within each discrete time period, and calculating the number of pulses within each discrete time period based on the function value of the preset signal function; then, calculating the actual number of light pulses within each discrete time period based on the preset light target intensity curve and the number of pulses within each discrete time period, and obtaining a light intensity control signal; finally, controlling the light intensity in real time based on the light intensity control signal, thereby completing adaptive control of the light intensity over time.

[0044] The present invention sets a simple frequency modulation algorithm without significantly increasing the CPU burden, and can adaptively adjust the light intensity over time, thereby improving the user's portability and experience of using the light. At the same time, the present invention is completely implemented using frequency debugging, and does not require the addition of additional sensors or circuits, which can save additional device expenses and effectively reduce costs. In addition, the present invention uses frequency for debugging, which saves more energy than using a fixed switch, and has a wider range of applications and a higher degree of freedom. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1This is a flow chart of a method for adaptively controlling light intensity based on frequency modulation provided in Example 1.

[0046] Figure 2 This is a schematic diagram of the lighting signal of the light provided in Example 2.

[0047] Figure 3 This is a schematic diagram of the preset light target intensity curve provided in Example 2.

[0048] Figure 4 This is a schematic diagram of discretely segmenting the lighting signal using a preset signal function provided in Example 2.

[0049] Figure 5 This is a structural diagram of a light intensity adaptive control system based on frequency modulation provided in Example 3. DETAILED DESCRIPTION

[0050] The accompanying drawings are for illustrative purposes only and are not to be construed as limiting this patent;

[0051] In order to better illustrate this embodiment, some parts in the drawings may be omitted, enlarged, or reduced, and do not represent the actual product size;

[0052] It is understandable to those skilled in the art that some well-known structures and descriptions thereof may be omitted in the drawings.

[0053] The technical solution of the present invention is further described below with reference to the accompanying drawings and embodiments.

[0054] Example 1

[0055] like Figure 1 As shown, this embodiment provides a method for adaptively controlling light intensity of a lamp based on frequency modulation, comprising the following steps:

[0056] S1: Obtain the lighting signal of the light and the preset light target intensity curve;

[0057] S2: discretely segmenting the lighting signal using a preset signal function to obtain a number of discrete time periods of equal duration;

[0058] S3: Filling each discrete time period with an equal interval using a preset pulse signal, and calculating the number of pulses in each discrete time period according to the function value of the preset signal function;

[0059] S4: Calculating the actual number of light pulses in each discrete time period based on the preset light target intensity curve and the number of pulses in each discrete time period, and converting the light lighting signal into a light intensity control signal;

[0060] S5: Control the light intensity in real time according to the light intensity control signal, and complete the adaptive regulation of the light intensity over time.

[0061] During the specific implementation process, the lighting signal and the preset target light intensity curve are first obtained; the lighting signal is discretely divided using a preset signal function to obtain a number of discrete time periods of equal time; within each discrete time period, the preset pulse signal is used to fill the intervals, and the number of pulses within each discrete time period is calculated based on the function value of the preset signal function; based on the preset target light intensity curve and the number of pulses within each discrete time period, the actual number of light pulses within each discrete time period is calculated to obtain the light intensity control signal; finally, the light intensity is controlled in real time based on the light intensity control signal, completing the adaptive regulation of light intensity over time;

[0062] This method does not significantly increase the CPU burden by setting a simple frequency modulation algorithm, and can adaptively adjust the light intensity over time, thereby improving the user's portability and experience of using the light. At the same time, this method is completely implemented using frequency debugging, and does not require the addition of additional sensors or circuits, which can save additional device expenses and effectively reduce costs. In addition, this method uses frequency for debugging, which is more energy-saving than using a fixed switch, and has a wider range of applications and a higher degree of freedom.

[0063] Example 2

[0064] This embodiment provides a method for adaptively controlling light intensity of a lamp based on frequency modulation, comprising the following steps:

[0065] S1: Obtain the lighting signal of the light and the preset light target intensity curve;

[0066] S2: discretely segmenting the lighting signal using a preset signal function to obtain a number of discrete time periods of equal duration;

[0067] S3: Filling each discrete time period with an equal interval using a preset pulse signal, and calculating the number of pulses in each discrete time period according to the function value of the preset signal function;

[0068] S4: Calculating the actual number of light pulses in each discrete time period based on the preset light target intensity curve and the number of pulses in each discrete time period, and converting the light lighting signal into a light intensity control signal;

[0069] S5: Control the light intensity in real time according to the light intensity control signal, and complete adaptive regulation of the light intensity over time;

[0070] like Figure 2As shown, in step S1, the lighting signal of the light is a periodic square wave switching signal;

[0071] The lighting signal cycle of the light is 1s, the maximum value of the square wave is 3.3, the minimum value is 0, and the duty cycle in each cycle is 50%;

[0072] like Figure 3 As shown, the preset light target intensity curve is used to represent the light target intensity at various times of the day, specifically:

[0073] At 0 to 6 in real time, the target light intensity is 0;

[0074] At 6:00 to 10:00 in real time, the target light intensity increases from 0 to 60% of the maximum light intensity at a rate of 15% of the maximum light intensity per hour;

[0075] At 10:00 to 11:00 in real time, the target light intensity increases from 60% of the maximum light intensity to 80% of the maximum light intensity at a rate of 20% of the maximum light intensity per hour;

[0076] At 11:00 to 12:00 in real time, the target light intensity increases from 80% of the maximum light intensity to 95% of the maximum light intensity at a rate of 15% of the maximum light intensity per hour;

[0077] At 12:00 to 13:00 in real time, the target light intensity increases from 95% of the maximum light intensity to 100% of the maximum light intensity at a rate of 5% of the maximum light intensity per hour;

[0078] At 13:00 to 14:00 in real time, the target light intensity of the light decreases from 100% of the maximum light intensity to 95% of the maximum light intensity at a rate of 5% of the maximum light intensity per hour;

[0079] At 2:00 PM to 3:00 PM in real time, the target light intensity decreases from 95% of the maximum light intensity to 80% of the maximum light intensity at a rate of 15% of the maximum light intensity per hour.

[0080] At 3:00 PM to 4:00 PM in real time, the target light intensity decreases from 80% of the maximum light intensity to 60% of the maximum light intensity at a rate of 20% of the maximum light intensity per hour;

[0081] At 16:00 to 17:00 in real time, the target light intensity of the light decreases from 60% of the maximum light intensity to 50% of the maximum light intensity at a rate of 10% of the maximum light intensity per hour;

[0082] At 5:00 PM to 6:00 PM in real time, the target light intensity decreases from 50% of the maximum light intensity to 35% of the maximum light intensity at a rate of 15% of the maximum light intensity per hour.

[0083] From 6:00 PM to 10:00 PM in real time, the target light intensity decreases from 35% of the maximum light intensity to 30% of the maximum light intensity at a rate of 1.25% of the maximum light intensity per hour.

[0084] From 22:00 to 24:00 in real time, the target light intensity decreases from 30% of the maximum light intensity to 0 at a rate of 15% of the maximum light intensity per hour;

[0085] In step S2, the waveform of the preset signal function is a sine wave; the period, maximum value, minimum value and phase of the sine wave are the same as the lighting signal of the light;

[0086] The mathematical expression of the preset signal function is specifically:

[0087] y=1.65sin(2πt)+1.65

[0088] Wherein, y is the function value of the preset signal function; t is the time;

[0089] The number of discrete time periods obtained in step S2 is 40;

[0090] In step S3, the preset pulse signal period is 1ms and the amplitude is 25;

[0091] The number of pulses in each discrete time period is calculated according to the following formula:

[0092]

[0093] y i =1.65sin(2πt i )+1.65

[0094] Among them, N i is the number of pulses in the i-th discrete time period; y i is the function value of the preset signal function corresponding to the i-th discrete time period; i is the middle moment of the i-th discrete time period; is the floor function;

[0095] In step S4, the actual number of light pulses N in each discrete time period is calculated according to the following formula: i ′:

[0096]

[0097] Among them, I i is the target light intensity of the light in the i-th discrete time period corresponding to the real time; I max is the maximum light intensity of the light;

[0098] The light is specifically an LED indicator light of the ONU device.

[0099] In the specific implementation process, firstly, the lighting signal of the light and the preset light target intensity curve are obtained;

[0100] like Figure 2 As shown, the lighting control of the indicator light of the traditional ONU device adopts a periodic switching waveform with a frequency of 1Hz and a duty cycle of 50%. A high level lights up the LED light, and a low level turns off the LED light, thereby realizing the flashing function of the LED light. This method can also be used for lighting control of ONU devices or similar products with other frequencies and duty cycles.

[0101] The preset light target intensity curve is used to represent the light target intensity at each time of the day. Figure 3 The curve in the figure is just an example. The goal is to achieve normal lighting during the day, dim light at night, and basically turn off the light when sleeping. Users can also change it according to their needs.

[0102] Then, the preset signal function is used to discretely divide the lighting signal to obtain several discrete time periods of equal time, specifically:

[0103] like Figure 4 As shown, using y = 1.65sin (2πt) + 1.65 Figure 2 The square wave signal in the image is discretely divided, and the continuous sine waveform is converted into 40 discrete areas of equal time within 1s (i.e., one cycle), which are recorded as (0, 1 / 40s], (1 / 40s, 2 / 40s]... (39 / 40s, 1s];

[0104] In the above-allocated discrete areas, a pulse waveform with a period of 1ms (the period of the pulse signal is related to the optimal light flashing frequency, 1ms is an empirical value) is used to fill the gaps at equal intervals. According to the function y = 1.65sin(2πt) + 1.65, a maximum value of 3.3 is used to fill 25 pulses in a discrete area, and a minimum value of 0 is used to fill 0 pulses in a discrete area.

[0105] According to the function calculation value, the number of pulses is calculated and then rounded off. The specific calculation method is as follows:

[0106]

[0107] y i =1.65sin(2πt i )+1.65

[0108] Among them, N i is the number of pulses in the i-th discrete time period; y iis the function value of the preset signal function corresponding to the i-th discrete time period; i is the middle moment of the i-th discrete time period; is a floor rounding function; the number of pulses in each discrete time period is then stored in the CPU registers N1, N2...N40;

[0109] According to the preset target light intensity curve and the number of pulses in each discrete time period, the actual number of light pulses N in each discrete time period is calculated according to the following formula: i ′:

[0110]

[0111] Among them, I i is the target light intensity of the light in the i-th discrete time period corresponding to the real time; I max is the maximum light intensity of the light;

[0112] Since the number of pulses is positively correlated with the light intensity, Figure 3 The target light intensity curve is used to multiply the number of pulses in registers N1, N2...N40 by the target light intensity ratio at the corresponding moment to obtain the actual number of pulses required to control the light intensity.

[0113] After obtaining the actual light intensity of each moment, the conventional periodic high and low level lighting signal can be converted into a similar Figure 3 The breathing light effect of the approximate sine wave is obtained to obtain the control signal of the light intensity, realizing energy saving and soft flashing effect;

[0114] Finally, the light intensity is controlled in real time according to the light intensity control signal, completing the adaptive regulation of light intensity over time, and finally achieving a state where the light is normal during the day, darker at night, and basically turned off when sleeping;

[0115] This method mainly uses the time synchronization function of the ONU device to allow the LED indicator of the ONU device to automatically adjust the brightness of the light as the local time changes;

[0116] This method does not significantly increase the CPU burden by setting a simple frequency modulation algorithm, and can adaptively adjust the light intensity over time, thereby improving the user's portability and experience of using the light. At the same time, this method is completely implemented using frequency debugging, and does not require the addition of additional sensors or circuits, which can save additional device expenses and effectively reduce costs. In addition, this method uses frequency for debugging, which is more energy-saving than using a fixed switch, and has a wider range of applications and a higher degree of freedom.

[0117] Example 3

[0118] like Figure 5 As shown, this embodiment provides a light intensity adaptive control system based on frequency modulation, including:

[0119] Data acquisition unit 301: used to obtain the lighting signal of the light and the preset light target intensity curve;

[0120] Discrete segmentation unit 302: used to discretely segment the lighting signal using a preset signal function to obtain a plurality of discrete time periods of equal duration;

[0121] The pulse sampling unit 303 is configured to fill in the discrete time periods with a preset pulse signal at equal intervals, and calculate the number of pulses in each discrete time period according to the function value of the preset signal function;

[0122] Signal frequency modulation unit 304: used to calculate the actual number of pulses of the light in each discrete time period according to the preset light target intensity curve and the number of pulses in each discrete time period, and convert the light lighting signal into a light intensity control signal;

[0123] The adaptive control unit 305 is used to control the light intensity in real time according to the light intensity control signal, so as to achieve adaptive control of the light intensity over time.

[0124] During the specific implementation process, the data acquisition unit 301 first obtains the lighting signal of the light and the preset light target intensity curve. The discrete segmentation unit 302 uses the preset signal function to discretely segment the lighting signal to obtain a number of discrete time periods of equal time. The pulse sampling unit 303 uses the preset pulse signal to fill the intervals in each discrete time period and calculates the number of pulses in each discrete time period based on the function value of the preset signal function. The signal frequency modulation unit 304 calculates the actual number of light pulses in each discrete time period based on the preset light target intensity curve and the number of pulses in each discrete time period to obtain the light intensity control signal. Finally, the adaptive control unit 305 controls the light intensity in real time according to the light intensity control signal, completing the adaptive control of the light intensity over time.

[0125] By setting up a simple frequency modulation algorithm, this system will not significantly increase the CPU burden, and can adaptively adjust the light intensity over time, improving the user's portability and experience of using the light. At the same time, this system is completely implemented using frequency debugging, and does not require the addition of additional sensors or circuits, which can save additional device expenses and effectively reduce costs. In addition, this system uses frequency for debugging, which is more energy-saving than using fixed switches, and has a wider range of applications and a higher degree of freedom.

[0126] The same or similar reference numerals correspond to the same or similar components;

[0127] The terms used in the drawings to describe positional relationships are for illustrative purposes only and should not be construed as limiting this patent;

[0128] Obviously, the above embodiments of the present invention are merely examples for the purpose of clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Those skilled in the art will appreciate that other variations or modifications can be made based on the above description. It is not necessary and impossible to enumerate all embodiments here. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the claims of the present invention.

Claims

1. A method for adaptively controlling light intensity based on frequency modulation, characterized in that: The following steps are involved: S1: Obtaining a light on signal and a preset light target intensity curve; the light on signal is a periodic square wave on / off signal; the period of the light on signal is 1s, the maximum value of the square wave is 3.3, the minimum value is 0, and the duty cycle in each period is 50%; S2: discretely dividing the lighting signal using a preset signal function to obtain a plurality of discrete time periods of equal duration; the waveform of the preset signal function is a sine wave; the period, maximum value, minimum value, and phase of the sine wave are the same as those of the lighting signal; S3: Filling each discrete time period with an equal interval using a preset pulse signal, and calculating the number of pulses in each discrete time period according to the function value of the preset signal function; The preset pulse signal has a period of 1 ms and an amplitude of 25; The number of pulses in each discrete time period is calculated according to the following formula: in, is the number of pulses in the i-th discrete time period; is the function value of the preset signal function corresponding to the i-th discrete time period; represents the median value of the i-th discrete time period; is the floor function; S4: Calculating the actual number of light pulses in each discrete time period based on the preset light target intensity curve and the number of pulses in each discrete time period, thereby converting the light lighting signal into a light intensity control signal; S5: Control the light intensity in real time according to the light intensity control signal, and complete the adaptive regulation of the light intensity over time.

2. The method for adaptively controlling light intensity based on frequency modulation according to claim 1, characterized in that: In the step S1, the preset light target intensity curve is used to represent the light target intensity at various times of the day.

3. The method for adaptively controlling light intensity based on frequency modulation according to claim 2, characterized in that: The preset light target intensity curve is specifically: At 0-6 in real time, the light target intensity is 0; From 6 to 10 o'clock in real time, the target light intensity increases from 0 to 60% of the maximum light intensity at a rate of 15% of the maximum light intensity per hour; At 10:00 to 11:00 in real time, the target light intensity increases from 60% of the maximum light intensity to 80% of the maximum light intensity at a rate of 20% of the maximum light intensity per hour; At 11:00 to 12:00 in real time, the target light intensity increases from 80% of the maximum light intensity to 95% of the maximum light intensity at a rate of 15% of the maximum light intensity per hour; At 12:00 to 1:00 PM in real time, the target light intensity increases from 95% of the maximum light intensity to 100% of the maximum light intensity at a rate of 5% of the maximum light intensity per hour. At 13:00 to 14:00 in real time, the target light intensity of the light decreases from 100% of the maximum light intensity to 95% of the maximum light intensity at a rate of 5% of the maximum light intensity per hour; At 2:00 PM to 3:00 PM in real time, the target light intensity decreases from 95% of the maximum light intensity to 80% of the maximum light intensity at a rate of 15% of the maximum light intensity per hour. At 3:00 PM to 4:00 PM in real time, the target light intensity decreases from 80% of the maximum light intensity to 60% of the maximum light intensity at a rate of 20% of the maximum light intensity per hour. At 4:00 PM to 5:00 PM in real time, the target light intensity decreases from 60% of the maximum light intensity to 50% of the maximum light intensity at a rate of 10% of the maximum light intensity per hour. At 5:00 PM to 6:00 PM in real time, the target light intensity decreases from 50% of the maximum light intensity to 35% of the maximum light intensity at a rate of 15% of the maximum light intensity per hour. From 6:00 PM to 10:00 PM in real time, the target light intensity decreases from 35% of the maximum light intensity to 30% of the maximum light intensity at a rate of 1.25% of the maximum light intensity per hour. From 22:00 to 24:00 in real time, the target light intensity decreases from 30% of the maximum light intensity to 0 at a rate of 15% of the maximum light intensity per hour.

4. The method for adaptively controlling light intensity based on frequency modulation according to claim 3, characterized in that: The mathematical expression of the preset signal function is specifically: in, is the function value of the preset signal function; Represents the independent variable, and its value range is (0,+∞).

5. The method for adaptively controlling light intensity based on frequency modulation according to claim 4, characterized in that: The number of discrete time periods obtained in step S2 is 40.

6. The method for adaptively controlling light intensity based on frequency modulation according to claim 5, characterized in that: In step S4, the actual number of light pulses in each discrete time period is calculated according to the following formula: : = in, is the target light intensity of the light in the i-th discrete time period corresponding to the real time; The maximum light intensity of the light.

7. The method for adaptively controlling light intensity based on frequency modulation according to claim 6, characterized in that: The light is specifically an LED indicator light of the ONU device.

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