Light-operated LED filament lamp driving system and light-operated LED filament lamp

Abstract

The invention relates to the field of composite materials, and discloses a light-operated LED filament lamp driving system and a light-operated LED filament lamp, and the light-operated LED filament lamp driving system comprises the following modules: a spectrum sampling module which is used for collecting light intensity data of a plurality of wavelengths in ambient light; the luminous flux calculation module is connected with the spectrum sampling module and is used for calculating real-time environment luminous flux based on the light intensity data and a sensor response function; and the error optimization module is connected with the luminous flux calculation module and is used for calculating a luminous flux error by comparing the real-time environment luminous flux with the target luminous flux and optimizing a dynamic light control threshold according to the error. According to the technical scheme of combining multispectral integral calculation, dynamic threshold adjustment and constant-current driving with PWM dimming, high-precision light detection in a complex light environment, rapid adaptation to dynamic light changes, stable driving of a filament lamp and non-stroboscopic dimming are achieved, meanwhile, false triggering caused by short-time light fluctuation is effectively restrained, and the light-emitting efficiency of the filament lamp is improved. The reliability and the service life of the system are improved.

Description

Technical Field

[0001] The present invention relates to the field of composite materials, and specifically to a light-controlled LED filament lamp drive system and a light-controlled LED filament lamp. Background Art

[0002] In recent years, with the rapid development of intelligent lighting systems, LED filament lamps have gradually become the mainstream products in the lighting market due to their characteristics such as high energy efficiency, long service life, etc. Especially in the field of intelligent light control, LED filament lamps can achieve automatic switching or brightness adjustment functions by detecting the ambient light intensity, greatly improving the user's convenience and energy-saving effect. The current light-controlled LED filament lamp drive systems mainly rely on photosensitive elements to detect the ambient light, and then achieve the switching and brightness adjustment of the lamps through simple circuit control. Such systems have a certain applicability in a single light source environment, but in complex light environments and multi-scene uses, there are still many problems and it is difficult to meet the intelligent and diverse application requirements.

[0003] The existing light control systems are composed of a photosensitive resistor or a photodiode as the detection element, combined with a control logic with a fixed threshold and a circuit design of constant voltage drive. Although this design is simple, there are obvious technical deficiencies: First, the existing systems are mostly based on single-band light intensity detection, resulting in low detection accuracy under complex light sources (such as the superposition of natural light and artificial light), and it is difficult to accurately identify the true strength of the ambient light; Second, using a fixed light control threshold, the system has poor adaptability to dynamic light changes, and is prone to false triggering or response hysteresis; Third, lacking the ability of constant current drive and fine dimming, resulting in unstable output light efficiency of the filament lamp in different brightness states, and even stroboscopic problems; Fourth, it fails to effectively process short-term light fluctuations (such as shadows or car lights flashing), resulting in frequent switching of the system, affecting the service life of the lamp and the user experience. These problems limit the application of existing light control technologies in high-precision and complex scenarios, and urgently need to be improved through innovative technical solutions. Summary of the Invention

[0004] Aiming at the deficiencies of the existing technology, the present invention provides a light-controlled LED filament lamp drive system and a light-controlled LED filament lamp, which solve the problems of insufficient detection accuracy, poor dynamic adaptability, lack of drive stability, and limited ability to process short-term light fluctuations in the existing light-controlled LED filament lamp drive system under complex light environments.

[0005] To achieve the above objectives, the present invention is realized through the following technical solutions: A light-controlled LED filament lamp drive system and a light-controlled LED filament lamp, including the following modules:

[0006] A spectral sampling module, used to collect the light intensity data of multiple wavelengths in the ambient light;

[0007] A luminous flux calculation module, connected to the spectral sampling module, for calculating the real-time ambient luminous flux based on the light intensity data and the sensor response function;

[0008] An error optimization module, connected to the luminous flux calculation module, for calculating the luminous flux error by comparing the real-time ambient luminous flux with the target luminous flux, and optimizing the dynamic light control threshold according to the error;

[0009] A dynamic threshold adjustment module, connected to the error optimization module, for determining the on / off state of the filament lamp based on the dynamic light control threshold;

[0010] A drive control module, connected to the dynamic threshold adjustment module, for adjusting the drive current of the LED filament lamp according to the on / off state of the filament lamp, to achieve the lighting or extinguishing of the filament lamp.

[0011] Preferably, the spectral sampling module includes a multispectral sensor and an analog-to-digital converter. The multispectral sensor is used to collect the light intensity data of multiple wavelengths of ambient light, and the analog-to-digital converter is used to convert the collected analog light intensity signal into a digital signal.

[0012] Preferably, the luminous flux calculation module processes the ambient light intensity data using a luminous flux integration model, and the luminous flux integration model calculates the real-time ambient luminous flux by summing the product of the light intensity data and the sensor response function within a set wavelength range.

[0013] Preferably, the error optimization module optimizes the luminous flux error using the variational method. The luminous flux error is the difference between the real-time ambient luminous flux and the target luminous flux, and the dynamic light control threshold is determined through dynamic optimization.

[0014] Preferably, the dynamic threshold adjustment module determines the on / off state of the filament lamp based on the dynamic light control threshold and the real-time ambient luminous flux. Among them, when the real-time ambient luminous flux is greater than or equal to the dynamic light control threshold, the filament lamp is extinguished; when the real-time ambient luminous flux is less than the dynamic light control threshold, the filament lamp is lit.

[0015] Preferably, the drive control module controls the drive current of the LED filament lamp using a constant current drive circuit, and adjusts the brightness state of the filament lamp through pulse width modulation.

[0016] Preferably, the error optimization module adopts a target luminous flux calculation method based on moving average filtering. The target luminous flux is the average value of the ambient luminous flux within a set time range, used to suppress the interference of light fluctuations within a short time.

[0017] Preferably, the multispectral sensor of the spectral sampling module has at least 6 band sampling ranges, for high-resolution sampling of the light intensity within the visible light spectrum range.

[0018] Preferably, the dynamic light control threshold is calculated by the following formula: the dynamic light control threshold is equal to the target light flux plus the product of the light flux deviation and the adjustment coefficient, where the light flux deviation is the difference between the real-time ambient light flux and the target light flux.

[0019] An optically controlled LED filament lamp includes the drive system according to any one of claims 1 to 9, and an LED filament lamp bulb connected to the drive system, for turning on or off the filament lamp bulb according to the output signal of the drive control module.

[0020] The present invention provides an optically controlled LED filament lamp drive system and an optically controlled LED filament lamp.

[0021] It has the following beneficial effects:

[0022] 1. By adopting the technical solution of light flux calculation based on multi-spectral integration, the present invention achieves the technical effect of accurately capturing and calculating the light source characteristics in a complex light environment. Compared with the prior art that only uses a single wavelength or narrow band to detect the light intensity, the problem of inaccurate detection results caused by differences in the spectral characteristics of light sources is solved, thereby greatly improving the detection accuracy and adaptability of the system.

[0023] 2. By introducing an error optimization module and dynamically adjusting the light control threshold in combination with the variational method, the present invention realizes the fast response and adaptive adjustment to the dynamic changes of ambient light. Compared with the prior art that uses a fixed threshold control scheme, the defect that the fixed threshold is easily affected by short-time light fluctuations in a complex light environment is overcome, effectively reducing the false triggering phenomenon and improving the stability of the light control system.

[0024] 3. The present invention adopts a drive control scheme that combines constant current drive with pulse width modulation (PWM) technology to achieve stable drive and flicker-free brightness adjustment of the LED filament lamp. Compared with the prior art that lacks current stability control or only supports a single brightness mode, the problems of uneven light efficiency and low drive efficiency of the filament lamp in a light change scenario are solved, significantly improving the working life and light efficiency performance of the lamp.

[0025] 4. By adding a dynamic threshold adjustment module and combining an anti-jitter mechanism and a low-pass filtering strategy, the present invention effectively suppresses short-time light fluctuations and realizes the smooth operation of the system. Compared with the prior art that does not introduce dynamic adjustment or anti-shake mechanism, the deficiency of frequent switching of the filament lamp under sudden light changes is avoided, thereby improving the user experience and reducing the energy consumption and mechanical loss of the filament lamp. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a schematic flow chart of the method of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0028] Please refer to the attached Figure 1 , the embodiments of the present invention provide a light-controlled LED filament lamp drive system and a light-controlled LED filament lamp, including the following modules:

[0029] A spectral sampling module for collecting light intensity data of multiple wavelengths in ambient light;

[0030] In this embodiment, the spectral sampling module includes a multispectral sensor and an analog-to-digital converter, which are used to realize the collection and digital processing of light intensity of multiple wavelengths.

[0031] Specifically, the multispectral sensor can cover the visible light spectrum range from 400nm to 700nm and divide it into at least 6 wavelength sampling points, and each wavelength point outputs a corresponding light intensity signal. For example, in some embodiments, the wavelength points may include 450nm, 500nm, 550nm, 600nm, 650nm, and 700nm. In other embodiments, the wavelength distribution can be further refined according to environmental requirements to improve the resolution.

[0032] As an option, the multispectral sensor can use common AS7265x series multispectral chips or other sensors that support high-resolution spectral collection. Such sensors separate light of specific wavelengths through an internal filter array and detect the intensity.

[0033] The analog-to-digital converter is connected to the multispectral sensor and is used to convert the analog signal of the light intensity into a digital signal. Generally, the resolution of the analog-to-digital converter is 12 bits or higher to ensure that small changes in the light intensity signal can be accurately captured. As an implementation method, the operating frequency of the analog-to-digital converter can be configured according to the sampling rate. For example, the sampling frequency can be set to 1kHz to ensure that changes in ambient light are recorded in a timely manner.

[0034] In this embodiment, the working principle of the multispectral sensor is based on the sampling of the spectral distribution, and the light intensity signal is normalized through a preset response function R(λ).

[0035] The response function R(λ) is defined as the sensitivity coefficient of the sensor to light of different wavelengths and is usually determined by the physical characteristics of the sensor. In this embodiment, the range of the response function R(λ) is [0,1], where 1 represents the complete response of the sensor to the light of this wavelength, and 0 represents no response.

[0036] In a possible implementation, the spectral sampling module processes the light intensity signal of each wavelength according to the following formula:

[0037] I′(λ) = I(λ)·R(λ)

[0038] Where:

[0039] I′(λ): the normalized light intensity signal.

[0040] I(λ): the original light intensity signal collected by the sensor.

[0041] R(λ): the response function of the sensor.

[0042] Generally, the normalization process can eliminate the influence of the sensor's response characteristics to different wavelengths and improve the accuracy of multi-wavelength light intensity data. In some embodiments, R(λ) can be dynamically adjusted to adapt to the influence of sensor aging or environmental temperature changes.

[0043] In this embodiment, the output data of the spectral sampling module is further processed by numerical integration to provide support for the luminous flux calculation module.

[0044] Generally, the spectral sampling module outputs the light intensity signal at discrete wavelengths, and subsequently, the multi-wavelength light intensity signals need to be aggregated into the total luminous flux through integration. As an option, the integration range can be limited to 400 nm to 700 nm, and discrete integration is performed at intervals of Δλ for each wavelength point.

[0045] The integration formula is as follows:

[0046]

[0047] Where:

[0048] Φ: the total luminous flux of the ambient light (unit: lumen, lm).

[0049] I′(λ i ): the light intensity signal at the i-th wavelength point after normalization.

[0050] Δλ: the interval between adjacent wavelength points (unit: nanometer, nm).

[0051] N: the total number of wavelength sampling points.

[0052] In one implementation, if Δλ is set to 50 nm and the number of sampling points M = 6, the integration range covers the entire visible light band.

[0053] In this embodiment, the spectral sampling module also supports classifying the light from different spectral sources. Specifically, the spectral distributions of natural light and artificial light usually have significant differences. For example, the spectrum of natural light is continuously distributed, while an LED light source may have multiple narrow-band peaks. By analyzing the light intensity data at each wavelength point, the spectral source can be preliminarily classified.

[0054] As an implementation, the spectral sampling module can calculate the light intensity ratio of wavelength points to further determine the characteristics of the light source. For example:

[0055]

[0056] Where:

[0057] R ij : The light intensity ratio of wavelength points λ i and λ j .

[0058] I(λ i ) and I(λ j ): The light intensity signals corresponding to the wavelength points.

[0059] By comparing whether the light intensity ratio R ij meets the preset natural light or artificial light characteristic range, a preliminary distinction of the light source type can be achieved.

[0060] Extended technical content

[0061] As an extended solution, the spectral sampling module can also increase the sampling ability in the infrared or ultraviolet band to further expand the system's adaptability to complex light environments. For example:

[0062] Increase the infrared band sampling from 700nm to 850nm to identify the interference of sunlight or high-temperature heat sources.

[0063] Increase the ultraviolet band sampling from 300nm to 400nm to distinguish the spectral characteristics of certain specific lamps (such as UV lamps).

[0064] By increasing the band range, the system can cover a wider spectral region and provide richer input data for subsequent modules.

[0065] The luminous flux calculation module, connected to the spectral sampling module, is used to calculate the real-time ambient luminous flux based on the light intensity data and the sensor response function;

[0066] In this embodiment, the luminous flux calculation module calculates the ambient light using the discrete integral formula to achieve high-precision luminous flux estimation.

[0067] Specifically, the luminous flux calculation is based on the following formula:

[0068]

[0069] Wherein:

[0070] Φ represents the total luminous flux of the ambient light (unit: lumen, lm).

[0071] I(λ i ) represents the light intensity detected by the spectral sampling module at the wavelength λ i (unit: watt per square meter per nanometer, W / m 2 ·nm).

[0072] R(λ i ) is the response sensitivity of the sensor at the wavelength λ i (unitless, range: [0,1]).

[0073] Δλ is the interval between adjacent wavelength points (unit: nanometer, nm).

[0074] N represents the total number of spectral sampling points.

[0075] As an option, the integration range can be limited to the visible light band, i.e., 400 nm to 700 nm. If Δλ = 50 nm, then N = 6, and the wavelength points for integration are 450 nm, 500 nm, 550 nm, 600 nm, 650 nm, and 700 nm. In this way, the calculation of the luminous flux can cover most of the spectral ranges of natural light and artificial light.

[0076] In this embodiment, the luminous flux calculation module performs a refined modeling on the sensor response function R(λ) to compensate for the non-linear response characteristics of the sensor.

[0077] Generally, the sensor has differences in detecting the light intensity of different wavelengths, and this difference is determined by its internal optoelectronic characteristics. To eliminate the response deviation, this embodiment uses calibration data to perform a fitting process on R(λ) so that it can accurately reflect the response sensitivity of the sensor.

[0078] In a possible implementation, the response function R(λ) can be expressed as a polynomial function:

[0079] R(λ) = a0 + a1λ + a2λ 2 +…+ a m λ m

[0080] Wherein:

[0081] a0, a1, …, a m are the polynomial coefficients obtained by calibration.

[0082] λ represents the wavelength value (unit: nanometer, nm).

[0083] m represents the order of the polynomial.

[0084] In some embodiments, m = 2 or m = 3 can be selected to balance the computational complexity and fitting accuracy. By modeling R(λ), the wavelength response deviation of the sensor can be effectively compensated, thereby improving the accuracy of the light flux calculation.

[0085] In this embodiment, the light flux calculation module supports dynamic adjustment of the integration range to adapt to various light environments.

[0086] As an implementation, when a specific type of light source is detected, the integration range can be dynamically adjusted according to its spectral characteristics. For example:

[0087] For an environment with LED as the main light source, the integration range can be reduced to 450nm to 650nm to improve the calculation efficiency.

[0088] For an environment with sunlight as the main light source, the integration range can be expanded to 400nm to 750nm to capture the energy in the infrared tail band.

[0089] The adjustment of the integration range is determined by the light intensity distribution characteristics provided by the spectral sampling module. For example, when the light intensity ratio R ij meets certain conditions, it can be judged as a specific light source, and the integration range is adjusted accordingly.

[0090] In this embodiment, to improve the real-time performance of the light flux calculation, the module uses the recursive integration method for calculation.

[0091] The core idea of the recursive integration method is to use the light flux value at the previous time point as the initial value for the calculation at the current time point, thereby reducing repeated calculations. The recursive formula is as follows:

[0092]

[0093] Where: Φ (k) and Φ (k+1) represent the light flux values at the kth and (k + 1)th time points respectively.

[0094] I (k) (λ i ) and I (k+1) (λ i ) represent the light intensities at the kth and (k + 1)th time points at wavelength λ i respectively.

[0095] In this method, only the incremental part of the light intensity I (k+1) (λ i ) - I (k) (λ i) This significantly reduces the computational load. This recursive method is particularly suitable for optical control application scenarios with high real-time requirements.

[0096] In this embodiment, the light flux value Φ output by the light flux calculation module is used as the input for the subsequent error optimization module, providing basic data support for dynamic threshold adjustment.

[0097] Generally, the output frequency of the light flux value is determined by the sampling rate of the system. In one implementation, the sampling rate can be set to once every 10 ms, that is, 100 light flux data are output per second. This high-frequency output ensures that the subsequent modules can respond in a timely manner to the rapid changes in ambient light.

[0098] In addition, to enhance the adaptability of the module, this embodiment also supports low-pass filtering of the output data to further smooth the light flux signal with large fluctuations. The low-pass filtering can be performed using the following formula:

[0099] Φ 滤波 (t) = α·Φ(t) + (1 - α)·Φ 滤波 (t - 1)

[0100] Where:

[0101] Φ 滤波 (t) is the filtered light flux.

[0102] Φ(t) is the light flux at the current time point.

[0103] α is the filtering coefficient, and its value range is from 0 to 1.

[0104] The error optimization module, connected to the light flux calculation module, is used to calculate the light flux error by comparing the real-time ambient light flux with the target light flux, and optimize the dynamic light control threshold according to the error;

[0105] In this embodiment, the error optimization module calculates the light flux error based on the following formula:

[0106] E(y) = Φ 检测 (t) - Φ 目标 (t)

[0107] Where:

[0108] E(t) represents the light flux error at time t.

[0109] Φ 检测 (t) is the real-time light flux value provided by the light flux calculation module.

[0110] Φ 目标 (t) is the target light flux calculated by the system.

[0111] Specifically, the target light flux Φ目标 (t) is the weighted average of the ambient light flux within a set time window, used to smooth out the instantaneous fluctuations of the light flux. The formula for the target light flux is:

[0112]

[0113] Where:

[0114] n is the number of sampling points within the time window.

[0115] t - i represents the time corresponding to the i-th sampling point forward from the current moment.

[0116] In some embodiments, the response speed of the target light flux can be changed by adjusting the size of n. For example, when n is small, the system responds quickly to changes in light; when n is large, the system has a stronger ability to suppress short-term fluctuations.

[0117] In this embodiment, in order to achieve error optimization, the variational method is used to dynamically optimize the error function.

[0118] Generally, the error optimization module aims to minimize the error E(t), and the expression for the optimized dynamic light control threshold T(t) is:

[0119] T(t) = Φ 目标 (t) + k·ΔΦ(t)

[0120] Where:

[0121] T(t) is the dynamic light control threshold at time t.

[0122] ΔΦ(t) = Φ 检测 (t) - Φ 目标 (t) represents the light flux deviation.

[0123] k is an adjustment coefficient, used to control the adjustment amplitude of the light control threshold.

[0124] As an option, the value range of the adjustment coefficient k can be from 0.1 to 2.0. By adjusting the size of k, the sensitivity of the system to changes in light flux can be controlled. In practical applications, a larger k value is suitable for rapidly changing ambient light conditions, while a smaller k value is more suitable for scenarios with relatively stable light.

[0125] In this embodiment, the error optimization module further improves the stability and robustness of the optimization result by introducing a time integral form.

[0126] In one possible implementation, the error optimization module takes the sum of the squared cumulative errors as the optimization target, and the error function expression is:

[0127]

[0128] Wherein:

[0129] E 累积 is the cumulative error within the time interval [t0, t1].

[0130] t0 and t1 are the times of the starting point and the ending point of the integration respectively.

[0131] By minimizing the cumulative error, the system can further suppress the influence of short-term fluctuations on the dynamic threshold. As an option, the cumulative error can be approximately calculated by discretization:

[0132]

[0133] Wherein:

[0134] M is the total number of discrete sampling points within the integration interval.

[0135] t i represents the time of the i-th sampling point.

[0136] In this embodiment, in order to enhance the adaptability of the error optimization module, the module supports dynamically adjusting the length of the time window and the integration interval.

[0137] As an implementation, when the ambient light changes violently, the time window n and the integration interval [t0, t1] can be shortened to improve the response speed of the system; while when the light environment is relatively stable, the time window and the integration interval can be extended to improve the smoothness of the optimization result.

[0138] For example, in a scene where the light changes rapidly, the time window can be set to 100 ms (corresponding to 10 sampling points), and the integration interval can be set to 500 ms; while in a scene where the light is relatively stable, the time window can be set to 500 ms, and the integration interval can be set to 2000 ms.

[0139] In this embodiment, the output dynamic threshold T(t) of the error optimization module is used for the dynamic threshold adjustment module to achieve real-time adjustment of the light control system.

[0140] Generally, the update frequency of the dynamic threshold is consistent with the output frequency of the light flux calculation module. For example, when the light flux calculation module outputs the light flux value at a frequency of 10 ms, the error optimization module updates the dynamic threshold every 10 ms.

[0141] In addition, in a possible implementation, the error optimization module also supports low-pass filtering the output dynamic threshold to further suppress the influence of noise. The expression of the filtered dynamic threshold is:

[0142] T 滤波T(t) = α·T(t)+(1 - α)·T 滤波 (t - 1)

[0143] Where:

[0144] T 滤波 (t) is the filtered dynamic threshold.

[0145] α is the filtering coefficient, and its value range is from 0 to 1.

[0146] The dynamic threshold adjustment module, connected to the error optimization module, is used to determine the on - off state of the filament lamp based on the dynamic light - control threshold;

[0147] In this embodiment, the dynamic threshold adjustment module controls the working state of the filament lamp based on the following logic:

[0148] Φ 检测 When Φ(t)≥T(t), the filament lamp enters the off state;

[0149] Φ 检测 When Φ(t)<T(t), the filament lamp enters the on state.

[0150] Where:

[0151] Φ 检测 (t) is the real - time light flux output by the light - flux calculation module;

[0152] T(t) is the dynamic light - control threshold provided by the error optimization module.

[0153] Generally, the dynamic threshold T(t) is determined by the target light flux Φ 目标 (t) and the light - flux deviation ΔΦ(t). The specific formula is as follows:

[0154] T(t) = Φ 目标 (t)+k·ΔΦ(t)

[0155] Where:

[0156] Φ 目标 (t) is the target light flux set by the system, usually obtained through moving - average filtering; ΔΦ(t)=φ 检测 (t)-φ 目标 (t) is the difference between the real - time light flux and the target light flux; k is the adjustment coefficient, used to control the dynamic response amplitude of the threshold.

[0157] In this embodiment, the dynamic threshold adjustment module has a built - in anti - jitter mechanism to avoid frequent switching caused by short - term light fluctuations.

[0158] In general, the ambient light intensity may change instantaneously within a short period, such as when vehicle lights flash or shadows move. Such short-term fluctuations may cause the system to frequently trigger the switching of the filament lamp, thereby reducing the user experience and shortening the lamp life. Therefore, the dynamic threshold adjustment module adopts a delay strategy to smooth the change in luminous flux.

[0159] In a possible implementation, the anti-jitter mechanism introduces a time delay parameter τ. The system will only perform the corresponding switching operation when the state of the luminous flux continuously exceeds τ. For example: Φ 检测 (t) ≥ T(t) and lasts for more than τ time, then trigger the filament lamp to turn off;

[0160] If Φ 检测 (t) < T(t) and lasts for more than τ time, then trigger the filament lamp to turn on.

[0161] The value of the delay parameter τ can be set according to the application scenario. For example, in some scenarios, the delay time can be set to 200ms to eliminate the influence of most short-term fluctuations.

[0162] In this embodiment, the dynamic threshold adjustment module also supports low-pass filtering processing to smooth the change trend of the dynamic threshold.

[0163] Specifically, the real-time output of the dynamic threshold T(t) may be affected by factors such as luminous flux error or instability of the optimization algorithm. Therefore, the module uses the following low-pass filtering formula to process the dynamic threshold:

[0164] T 滤波 (t) = α·T(t) + (1 - α)·T 滤波 (t - 1)

[0165] Where:

[0166] T 滤波 (t) is the filtered dynamic threshold;

[0167] T(t) is the unfiltered dynamic threshold;

[0168] α is the filtering coefficient, and its value range is from 0 to 1.

[0169] Generally, a larger α value will make the change of the dynamic threshold more sensitive, which is suitable for scenarios with fast response; while a smaller α value can further smooth the change of the dynamic threshold, which is suitable for scenarios with relatively stable light.

[0170] In this embodiment, the output signal of the dynamic threshold adjustment module is directly connected to the drive control module to control the on-off state of the filament lamp.

[0171] As an option, the output signal of the dynamic threshold adjustment module can be represented by binary logic. For example:

[0172] When the output signal is 0, the indicator filament lamp is turned off;

[0173] When the output signal is 1, the indicator filament lamp is turned on.

[0174] In some embodiments, in order to further improve the reliability of the system, the dynamic threshold adjustment module can also perform logical verification on the output signal. For example, when the state of the light flux changes frequently and does not conform to the anti-jitter logic, the module can temporarily lock the output signal to prevent abnormal triggering of the drive control module.

[0175] In this embodiment, the dynamic threshold adjustment module can adapt to different light environments by dynamically adjusting the threshold response speed.

[0176] Specifically, when the system detects that the ambient light changes rapidly, the value of the adjustment coefficient k can be reduced to decrease the dynamic adjustment range of the threshold, thereby improving the adaptability to rapidly changing light. In an environment where the light changes slowly, the value of k can be increased to make the dynamic threshold more closely follow the change trend of the light flux.

[0177] For example, in a scene where the outdoor light changes drastically, the adjustment coefficient k can be set to 0.5; while in a scene where the indoor light is relatively stable, k can be set to 1.5.

[0178] The drive control module, which is connected to the dynamic threshold adjustment module, is used to adjust the drive current of the LED filament lamp according to the on / off state of the filament lamp to turn the filament lamp on or off.

[0179] In this embodiment, the drive control module uses a constant current drive circuit to achieve stable driving of the LED filament lamp.

[0180] Specifically, the constant current drive circuit is used to control the current passing through the LED filament to remain constant to ensure the stability of the light output during the operation of the filament lamp. The drive current I LED is calculated by the formula:

[0181]

[0182] Where:

[0183] I LED (t) is the real-time drive current;

[0184] I 基准 is the reference drive current, that is, the constant current value required for the normal operation of the filament lamp;

[0185] ΔΦ(t) = Φ 检测 (t) - Φ目标 (t) is the difference between the real-time luminous flux and the target luminous flux;

[0186] Φ 目标 (t) is the target luminous flux.

[0187] Generally, the reference current

[0188] I 基准 is set according to the rated parameters of the filament lamp. For example, in some embodiments, the reference current may be 20 mA or 30 mA to adapt to filament lamps of different power levels.

[0189] In this embodiment, the drive control module integrates Pulse Width Modulation (PWM) technology to achieve brightness adjustment and flicker-free operation of the LED filament lamp.

[0190] Specifically, PWM dimming controls the average current of the LED filament lamp by changing the duty cycle of the drive signal, thereby adjusting its brightness. The duty cycle D of the PWM signal is expressed as:

[0191]

[0192] Where:

[0193] D is the duty cycle of the PWM signal, and its value range is from 0 to 1;

[0194] t ON is the duration of the high level of the PWM signal;

[0195] T is the period of the PWM signal.

[0196] In a possible implementation, the frequency of the PWM signal can be set from 1 kHz to 5 kHz to avoid low-frequency flicker. The duty cycle D is dynamically adjusted according to the relationship between the real-time luminous flux and the target luminous flux. For example, when the real-time luminous flux is low, the duty cycle D increases, thereby increasing the brightness of the filament lamp; when the real-time luminous flux is high, the duty cycle D decreases to reduce the brightness of the filament lamp.

[0197] In this embodiment, in order to further enhance the stability of the drive control module, the module designs a real-time current feedback mechanism.

[0198] Specifically, the real-time current feedback mechanism adjusts the output parameters of the drive circuit by detecting the difference between the actual drive current I 实际 and the target drive current I LED . The control formula for current feedback is as follows:

[0199] I 调整 = I LED (t) - I 实际 (t)

[0200] Wherein:

[0201] I 调整 is the current adjustment value;

[0202] I 实际 (t) is the driving current value detected in real time.

[0203] As an option, the current feedback mechanism can be implemented by an operational amplifier and a sampling resistor. Among them, the sampling resistor is used to detect the actual driving current, and the operational amplifier amplifies the detection signal and inputs it into the constant current driving circuit to adjust the output current.

[0204] In this embodiment, the output signal of the drive control module is directly connected to the LED filament lamp to realize the control of turning on or off the filament lamp.

[0205] Generally, the output signal of the drive control module has two states:

[0206] When the output signal of the dynamic threshold adjustment module indicates that the filament lamp needs to be turned on, the drive control module outputs a constant current signal I LED (t), and realizes brightness adjustment through PWM modulation;

[0207] When the output signal of the dynamic threshold adjustment module indicates that the filament lamp needs to be turned off, the drive control module cuts off the output signal to ensure that the filament lamp is completely turned off.

[0208] As a possible implementation, the drive control module can also be designed with an anti-reverse connection protection circuit and an over-current protection circuit to further improve the safety of the system. For example:

[0209] The anti-reverse connection protection circuit can be implemented by a diode. When the power supply polarity is reversed, the diode prevents the current flow of the drive circuit;

[0210] The over-current protection circuit can be triggered by a current detection circuit. When it detects that the driving current exceeds the set threshold, it automatically shuts down the drive circuit.

[0211] In this embodiment, the drive control module supports multiple working modes to adapt to different application scenarios.

[0212] As an option, the drive control module can support the automatic switching between the constant current working mode and the dimming working mode:

[0213] In a darker environment, the drive control module enters the constant current working mode and outputs a fixed current to ensure the normal lighting of the filament lamp;

[0214] In an environment with large light variations, the drive control module enters the dimming working mode and dynamically adjusts the duty cycle of the PWM signal according to the real-time luminous flux, thereby achieving brightness adjustment.

[0215] In addition, the drive control module also supports the low-power mode. When the filament lamp is in the off state, the module automatically reduces its own power consumption, thereby improving the overall energy efficiency of the system.

[0216] An optical control LED filament lamp includes the drive system according to any one of claims 1 to 9, and an LED filament lamp bulb connected to the drive system, for achieving the lighting or extinguishing of the filament lamp bulb according to the output signal of the drive control module.

[0217] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An optical control LED filament lamp drive system, characterized in that, It includes the following modules: A spectral sampling module, which is used to collect the light intensity data of multiple wavelengths in the ambient light; A luminous flux calculation module, connected to the spectral sampling module, which is used to calculate the real-time ambient luminous flux based on the light intensity data and the sensor response function; An error optimization module, connected to the luminous flux calculation module, which is used to calculate the luminous flux error by comparing the real-time ambient luminous flux with the target luminous flux, and optimize the dynamic light control threshold according to the error; A dynamic threshold adjustment module, connected to the error optimization module, which is used to determine the on / off state of the filament lamp based on the dynamic light control threshold; A drive control module, connected to the dynamic threshold adjustment module, which is used to adjust the drive current of the LED filament lamp according to the on / off state of the filament lamp to achieve the lighting or extinguishing of the filament lamp.

2. The light-controlled LED filament lamp drive system according to claim 1, wherein The spectral sampling module includes a multispectral sensor and an analog-to-digital converter. The multispectral sensor is used to collect the light intensity data of multiple wavelengths of the ambient light, and the analog-to-digital converter is used to convert the collected analog light intensity signal into a digital signal.

3. The light-controlled LED filament lamp drive system according to claim 1, characterized in that The luminous flux calculation module processes the ambient light intensity data by using a luminous flux integration model. The luminous flux integration model calculates the real-time ambient luminous flux by summing the product of the light intensity data and the sensor response function within a set wavelength range.

4. The light-controlled LED filament lamp driving system according to claim 1, characterized in that The error optimization module uses the variational method to optimize the luminous flux error. The luminous flux error is the difference between the real-time ambient luminous flux and the target luminous flux, and the dynamic light control threshold is determined through dynamic optimization.

5. The light control LED filament lamp drive system according to claim 1, characterized in that The dynamic threshold adjustment module determines the on / off state of the filament lamp based on the dynamic light control threshold and the real-time ambient luminous flux. Among them, when the real-time ambient luminous flux is greater than or equal to the dynamic light control threshold, the filament lamp is extinguished; when the real-time ambient luminous flux is less than the dynamic light control threshold, the filament lamp is lit.

6. The light-controlled LED filament lamp drive system according to claim 1, wherein, The drive control module uses a constant current drive circuit to control the drive current of the LED filament lamp and adjusts the brightness state of the filament lamp through pulse width modulation.

7. The light control LED filament lamp driving system according to claim 1, wherein The error optimization module uses a target luminous flux calculation method based on moving average filtering. The target luminous flux is the average value of the ambient luminous flux within a set time range, which is used to suppress the light fluctuation interference within a short time.

8. The light control LED filament lamp drive system according to claim 1, characterized in that The multispectral sensor of the spectral sampling module has at least 6 band sampling ranges, which are used to perform high-resolution sampling on the light intensity within the visible light spectrum range.

9. The light-controlled LED filament lamp driving system according to claim 1, characterized in that, The dynamic light control threshold is calculated by the following formula: the dynamic light control threshold is equal to the target luminous flux plus the product of the luminous flux deviation and the adjustment coefficient, where the luminous flux deviation is the difference between the real-time ambient luminous flux and the target luminous flux.

10. A light-controlled LED filament lamp, characterized in that, It includes the drive system described in any one of claims 1 to 9, and an LED filament bulb connected to the drive system, which is used to achieve the lighting or extinguishing of the filament bulb according to the output signal of the drive control module.

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