Adaptive dimming system for aviation obstruction light based on wireless networking

Abstract

The present application relates to the field of intelligent control and photoelectric detection of aviation obstruction light, in particular to an aviation obstruction light adaptive dimming system based on wireless networking; the system comprises an environment sensing module, a feature coupling module, a control solving module and an adaptive driving module; the ambient light intensity value, the background environment color temperature value and the space scattering evaluation value are collected, the multi-dimensional light feature coupling compensation coefficient is solved, the background environment light comprehensive interference value is corrected and generated, and the target light source effective light intensity and its ratio are set as the dynamic ambient light signal-to-noise ratio; then the preset visual compensation model is input, the visual saliency maintenance index is solved and the dimming control instruction is generated, the driving current and the pulse duty cycle are adjusted, so that the visual contrast of the target light source is maintained within the preset safety interval, the present application can ensure the long-distance warning and recognition ability, suppress the near-distance glare and halo aggravation, and take into account the warning effect, thermal stability and device life.

Description

Technical Field

[0001] This invention relates to the field of intelligent control and photoelectric detection of aviation obstruction lights, specifically to an adaptive dimming system for aviation obstruction lights based on wireless networking. Background Technology

[0002] As warning devices for high-rise buildings, towers, and facilities around airports, aviation obstruction lights usually require adjustment and control of their luminous intensity to ensure that they remain effective at different times, under different weather conditions, and under background light pollution conditions.

[0003] However, existing dimming control methods mostly adopt adjustment strategies based on a single ambient illuminance threshold. This method is difficult to take into account the spectral interference of background light, the spatial scattering effect caused by atmospheric aerosols, and the differences in human visual response. In complex scenarios such as dusk, bright lighting environments, or light fog and cold, relying solely on illuminance values ​​can easily lead to insufficient or excessive dimming, thereby increasing glare or aggravating halo effects, resulting in a reduction in the actual recognizability of aviation obstruction lights. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides an adaptive dimming system for aviation obstruction lights based on wireless networking. Specifically, the technical solution of this invention includes:

[0005] The environmental sensing module is used to collect multi-dimensional ambient light characteristic data of the target space where the system is located. The multi-dimensional ambient light characteristic data includes ambient light illuminance value, background ambient color temperature value, and spatial scattering evaluation value.

[0006] The feature coupling module is used to calculate the multidimensional light feature coupling compensation coefficient based on multidimensional ambient light feature data, correct the ambient light illuminance value based on the multidimensional light feature coupling compensation coefficient to generate the background ambient light comprehensive interference value, obtain the current reference luminous intensity of the target light source as the effective light intensity, and set the ratio of the effective light intensity to the background ambient light comprehensive interference value as the dynamic ambient light signal-to-noise ratio.

[0007] The control calculation module is used to take the dynamic ambient light signal-to-noise ratio as the input of the preset visual compensation model, calculate the visual saliency maintenance index based on the output of the preset visual compensation model, and generate dimming control commands and the expected output light intensity corresponding to the dimming control commands based on the visual saliency maintenance index. The preset visual compensation model is a pre-constructed model that characterizes the mapping relationship between light features and human visual response.

[0008] An adaptive drive module is used to adjust the drive current and pulse duty cycle of the target light source in response to the dimming control command.

[0009] Preferably, the environmental sensing module includes an illuminance acquisition unit, a color temperature analysis unit, and a scattering evaluation unit;

[0010] The illuminance acquisition unit is used to acquire ambient illuminance values ​​through a visible light sensor; the color temperature analysis unit is used to acquire spectral data of the background environment and extract the background environment color temperature value based on the spectral data.

[0011] The scattering evaluation unit is used to acquire infrared channel data and visible light channel data through a dual-channel infrared and visible light sensor, and extract the spatial scattering evaluation value based on the infrared channel data and the visible light channel data.

[0012] Preferably, the feature coupling module includes a weight allocation unit and a coupling calculation unit; the weight allocation unit is used to match preset algorithm weight parameters to the ambient light intensity value, the background ambient color temperature value, and the spatial scattering evaluation value, respectively;

[0013] The coupling calculation unit is used to perform feature fusion on the ambient light illuminance value, the background ambient color temperature value and the spatial scattering evaluation value according to the algorithm weight parameters, so as to generate a multidimensional light feature coupling compensation coefficient.

[0014] Preferably, the feature coupling module further includes: a noise quantization unit for performing nonlinear correction on the ambient light illuminance value based on the multidimensional light feature coupling compensation coefficient, so as to generate a comprehensive background ambient light interference value.

[0015] Preferably, the control calculation module includes a visual response correction unit and an exponential calculation unit;

[0016] The visual response correction unit is used to determine the preset illuminance range to which the ambient light illuminance value belongs, and to call the corresponding spectral sensitivity shift compensation curve based on the preset illuminance range.

[0017] The index calculation unit is used to combine the spectral sensitivity shift compensation curve with the dynamic ambient light signal-to-noise ratio and output the visual saliency maintenance index through a preset visual compensation model.

[0018] Preferably, the visual response correction unit is also used to divide the preset illuminance range into boundaries using a preset upper illuminance threshold and a preset lower illuminance threshold;

[0019] When the ambient light illuminance value is greater than the preset upper limit threshold, the photovisual compensation curve is used as the spectral sensitivity shift compensation curve.

[0020] When the ambient light illuminance value is less than or equal to the preset upper limit threshold and greater than the preset lower limit threshold, the intermediate visual compensation curve is used as the spectral sensitivity shift compensation curve.

[0021] When the ambient light illuminance value is less than or equal to the preset lower limit threshold, the dark vision compensation curve is used as the spectral sensitivity shift compensation curve.

[0022] Preferably, the control calculation module includes a parameter mapping unit and an instruction encapsulation unit;

[0023] The parameter mapping unit is used to map the visual saliency maintenance index to a target driving parameter combination, which includes the target driving current value and the target pulse duty cycle value.

[0024] The instruction encapsulation unit is used to encapsulate the target driving parameters into a dimming control instruction and send it to the adaptive driving module based on the wireless network.

[0025] Preferably, the adaptive drive module includes a current regulation unit, a pulse modulation unit, and a status monitoring unit;

[0026] The current adjustment unit is used to parse the dimming control command and adjust the drive current of the target light source to the target drive current value; the pulse modulation unit is used to parse the dimming control command and adjust the pulse duty cycle of the target light source to the target pulse duty cycle value.

[0027] The status monitoring unit is used to collect the actual output light intensity of the target light source after adjustment, and feed the actual output light intensity back to the control calculation module to obtain the expected output light intensity corresponding to the dimming control command, so as to perform closed-loop correction on the preset visual compensation model based on the deviation between the actual output light intensity and the expected output light intensity.

[0028] Preferably, the target light source is an array of aviation obstruction lights, and the preset safe zone is a visual contrast zone that meets the preset aircraft visual avoidance light intensity standard.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] 1. This invention collects ambient light illuminance, background ambient color temperature, and spatial scattering assessment values ​​in multiple dimensions through an environmental sensing module, and performs weighted coupling and nonlinear correction on multiple environmental features through a feature coupling module. This transforms a single illuminance judgment into a comprehensive quantification of the overall interference value of the background ambient light, effectively distinguishing complex working conditions such as urban light pollution with high color temperature at dusk and night and light fog scattering, and avoiding insufficient or excessive dimming caused by traditional dimming based solely on ambient illuminance values.

[0031] 2. This invention establishes a dynamic ambient light signal-to-noise ratio by combining the effective light intensity of the target light source with the comprehensive interference value of the background ambient light. Combined with a preset visual compensation model and light vision compensation curves, intermediate vision compensation curves, and dark vision compensation curves, it achieves targeted correction of the differences in human visual response under different illuminance ranges. This improves the dimming control of aviation obstruction lights from simple brightness adjustment to precise control around the visual saliency maintenance index. Furthermore, by mapping the visual saliency maintenance index to a target driving parameter combination of driving current and pulse duty cycle, it ensures long-distance warning recognition capability while suppressing near-distance glare and halo aggravation, taking into account warning effect, thermal stability, and device lifespan.

[0032] 3. This invention uses a state monitoring unit to provide feedback on the actual output light intensity and performs closed-loop correction on the preset visual compensation model. This enables the system to maintain stable output under conditions of lamp aging, lens contamination, power fluctuations, and long-term environmental changes. As a result, the aviation obstruction light can always maintain a safe working state that is recognizable, not overexposed, and meets the visual avoidance requirements of aircraft in complex urban backgrounds and variable weather conditions. Attached Figure Description

[0033] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application;

[0034] Figure 1 This is a schematic diagram of a module of an adaptive dimming system for aviation obstruction lights based on wireless networking, as described in an embodiment of this application. Detailed Implementation

[0035] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments.

[0036] An adaptive dimming system for aviation obstruction lights based on wireless networking, used to control target light sources, the system includes:

[0037] The environmental sensing module is used to collect multi-dimensional ambient light characteristic data of the target space where the system is located. The multi-dimensional ambient light characteristic data includes ambient light illuminance value, background ambient color temperature value and spatial scattering evaluation value.

[0038] The feature coupling module is used to calculate the multidimensional light feature coupling compensation coefficient based on multidimensional ambient light feature data, correct the ambient light illuminance value based on the multidimensional light feature coupling compensation coefficient to generate the background ambient light comprehensive interference value, obtain the current reference luminous intensity of the target light source as the effective light intensity, and set the ratio of the effective light intensity to the background ambient light comprehensive interference value as the dynamic ambient light signal-to-noise ratio.

[0039] The control calculation module is used to take the dynamic ambient light signal-to-noise ratio as the input of the preset visual compensation model, calculate the visual saliency maintenance index based on the output of the preset visual compensation model, and generate dimming control commands and the expected output light intensity corresponding to the dimming control commands based on the visual saliency maintenance index. The preset visual compensation model is a pre-constructed model that characterizes the mapping relationship between light features and human visual response.

[0040] The adaptive drive module is used to adjust the drive current and pulse duty cycle of the target light source in response to dimming control commands.

[0041] This embodiment provides an adaptive dimming mechanism for aviation obstruction lights based on multi-dimensional ambient light sensing, such as... Figure 1 As shown; specifically, the system is deployed on the top of a super high-rise building near the approach route of a city airport. The target light source is the aviation obstruction lights set around the crown of the tower. Each module of the system establishes a data communication connection with the target light source through wireless networking nodes.

[0042] In this scenario, when pilots observe obstacle lights under different time periods, weather conditions, and urban background lighting interference, the true visual salience depends not only on the overall background illuminance level, but more on whether the obstacle lights and the background maintain a visual contrast within a preset threshold range. Therefore, the system does not directly determine whether to brighten or darken the lights using a single illuminance threshold. Instead, it first senses multiple dimensions of ambient light and then transforms these dimensions into a comprehensive judgment of the degree of background interference, thereby adjusting the driving state of the light-emitting array.

[0043] In the specific implementation process, the environmental sensing module acquires three types of environmental information: the ambient illuminance value reflects the overall brightness level of the target space, which is suitable for characterizing significant changes in brightness such as daytime, dusk, and nighttime; the background ambient color temperature value reflects the cool or warm characteristics of the background spectrum. When there are a large number of commercial lights, road lights, and building facade lights in the urban skyline, this parameter can reveal whether the background light competes with the obstruction lights in the spectrum.

[0044] Spatial scattering assessment values ​​reflect the degree of light diffusion caused by water droplets, fog droplets, aerosols, and suspended particles in the air. This factor directly affects whether the light exhibits a diffuse halo and whether the visual contrast at the signal edge decreases below the preset recognition threshold. The feature coupling module integrates the above three types of information, avoiding using ambient brightness as the sole source of interference. Instead, it distinguishes between different operating conditions such as high brightness but simple background, brightness below the preset ambient illuminance threshold but complex background spectrum, and low brightness but strong scattering. The resulting background ambient light comprehensive interference value essentially characterizes the visual competition intensity between the target light and the surrounding background in the pilot's field of vision.

[0045] The system compares the effective light intensity of the target light source with the comprehensive interference value to form a dynamic ambient light signal-to-noise ratio; the control calculation module then inputs the threshold into the visual compensation model; this model can be established through pre-experiments, for example, based on standard observation distance, typical flight approach angle, and the variation law of human eye sensitivity under different illumination ranges, a lookup table or segmented mapping relationship can be formed in advance;

[0046] The visual saliency maintenance index output by the model is not a simple brightness gain, but rather a characterization of whether the current light can stably stand out from the background without causing excessive glare. The adaptive drive module adjusts the drive current and pulse duty cycle according to this index. The drive current mainly affects the peak emission intensity, while the pulse duty cycle mainly affects the average light output and the duration of visual stimulation. The combination of the two can balance the warning effect, thermal stability and device life.

[0047] Within a specific control cycle; assuming that at a certain moment, illuminance data L representing the overall brightness state of the environment, spectral data C representing the background spectral shift state, and scattering data S representing the air scattering state are collected; when L is within the preset medium illuminance range, C is greater than the preset color temperature threshold, and S is greater than the preset scattering threshold, the system will not determine the scene as a basic low illuminance environment that meets the conditions for directly reducing the output power, but will identify it as a composite interference condition with low illuminance but strong background visual competition and obvious light path diffusion, and thus generate a higher level of background comprehensive interference evaluation;

[0048] If the current effective light intensity of the target light source is I, the system compares the relative relationship between I and the interference evaluation. When the relative relationship is less than the preset ratio threshold, the visual compensation model outputs the control intention to improve the visual saliency maintenance index. When the relative relationship is greater than or equal to the preset ratio threshold, the system only maintains or fine-tunes the output to avoid unnecessary drive power output.

[0049] In terms of anomaly handling, if a certain type of environmental data is momentarily missing, such as color temperature sampling being temporarily distorted due to strong electromagnetic interference, the system can first use the color temperature state of the previous stable cycle and reduce the influence weight of that channel, so that the control process can continue to run and avoid sudden changes in lighting due to a short-term anomaly of a single sensor.

[0050] If contradictory states occur among the three types of data, such as extremely low illuminance but abnormally zero scattering assessment value, the system will prioritize triggering sensor consistency verification. If necessary, it will enter conservative output mode to maintain the target light source at an intermediate brightness not lower than the safety limit. If the control calculation module determines that the current input of the visual compensation model exceeds the training or calibration range, it will not execute dimming intervention exceeding the preset rate of change, but will call the preset safety backoff curve to ensure that the light intensity always meets the minimum warning requirements.

[0051] As the supertall building entered its evening operation phase, the natural light from the western sky rapidly diminished, while the high color temperature advertising screens in the urban commercial district on the east side began to light up, ground traffic lighting increased, and light fog appeared near the ground. At this time, the system detected a decrease in illuminance, but the background color temperature was cool and scattering was enhanced. If traditional illuminance threshold dimming was used, the obstruction lights might be dimmed prematurely, resulting in unclear edge outlines in the pilot's field of vision.

[0052] In this embodiment, the feature coupling module will identify the scene as having increased background interference, and the control solution module will then increase the visual saliency maintenance index. The adaptive drive module will simultaneously increase the drive current and optimize the pulse duty cycle, so that the light remains clearly visible in the fog, while avoiding the output power from directly reaching the maximum peak value and causing the halo to be aggravated.

[0053] This embodiment transforms the traditional dimming logic based solely on a single illuminance into a comprehensive control logic based on maintaining visual contrast, thereby ensuring that the target light source remains identifiable, does not overexpose, and meets aviation warning requirements in complex urban backgrounds and variable weather conditions.

[0054] The environmental sensing module includes: an illuminance acquisition unit for acquiring ambient illuminance values ​​through a visible light sensor; a color temperature analysis unit for acquiring spectral data of the background environment and extracting the background environment color temperature value based on the spectral data; and a scattering evaluation unit for acquiring infrared channel data and visible light channel data through a dual-channel infrared and visible light sensor and extracting spatial scattering evaluation values ​​based on the infrared channel data and visible light channel data.

[0055] This embodiment provides a multi-channel environmental sensing mechanism. Specifically, in the obstruction light control box of the aforementioned super high-rise building tower crown, the environmental sensing module consists of a visible light sensor, a background spectrum collector, and an infrared / visible light dual-channel sensor. The three units are deployed facing the same target space, but each focuses on different physical phenomena, thereby avoiding information deviation caused by using only a single sensor to observe the environment.

[0056] In practice, the illuminance acquisition unit obtains ambient illuminance values ​​through a visible light sensor to characterize the overall brightness background of the observation space. This unit is more suitable for reflecting changes in solar altitude angle, cloud cover, and total nighttime urban lighting. The color temperature analysis unit does not only collect a single illuminance physical quantity, but also collects spectral data of the background environment and extracts the color temperature characteristics corresponding to the dominant spectral components.

[0057] Due to the complexity of urban light sources, warm yellow streetlights, cool white curtain wall lights, and blue-white large screen advertising lights can compete with pilots' vision to varying degrees. Therefore, color temperature parameters can be used as a proxy for spectral interference. The scattering evaluation unit observes the target space simultaneously through infrared and visible light dual channels.

[0058] The reason is that atmospheric particles respond differently to the scattering and absorption of visible light and infrared light. When the air is clean, the response relationship between the two channels to the far-field background is relatively stable. When there is haze, drizzle, or a sudden increase in humidity, the attenuation and diffusion of visible light often precedes or is stronger than that of infrared light, resulting in the difference between the two channel data being greater than the preset deviation threshold. Based on this, the system generates a spatial scattering evaluation value, which serves as an important basis for judging whether the optical path has been disturbed.

[0059] In specific data processing, the system assumes that a certain sampling period forms an observation group G1 containing an ambient light illuminance segment V1, a background spectral segment T1, and a dual-channel difference segment D1. If V1 shows that the environment is dark, but T1 shows that the background is cool and concentrated in the common wavelengths of high-brightness displays, and D1 shows that there is a significant deviation between infrared and visible light, then the system will identify G1 as a low-illuminance but high-interference environment, rather than a low-illuminance and clean background environment. In this way, the system can subdivide the environmental state under the same illuminance level into different dimming intervention levels, avoiding control errors caused by a single judgment dimension.

[0060] Regarding the system's fault-tolerant protection mechanism, if the illuminance value on the visible light sensor surface drifts over a long period due to dust accumulation, the system can cross-verify with the total spectral energy and the dual-channel background trend to identify the slow shift rather than a real environmental change and trigger a maintenance alarm. If the background spectrum acquisition unit is interfered with by transient flashes during thunderstorms, the color temperature result can use the stable value after smoothing over a time window to prevent a single lightning strike from causing a short-term abnormal increase in light brightness. If the infrared channel experiences attenuation due to condensation, the system can pause the use of the scattering evaluation results for that period and revert to a conservative mode based on illuminance and color temperature, while recording the anomaly for maintenance.

[0061] During the nighttime operation of the same building, the advertising screen in the commercial area switched to a bright, cool white screen. The visible light sensor detected that the change in illuminance was not drastic, but the color temperature analysis unit identified that the background spectrum was significantly biased towards a high color temperature. The dual-channel sensor simultaneously detected that the visible light diffusion was enhanced after the near-surface humidity increased. This combination of information indicates that the background competition in the pilot's field of vision is increasing. Even if the absolute illuminance does not change much, a higher level of interference input is needed for subsequent dimming.

[0062] By using three physical dimensions—illuminance, spectrum, and scattering—to perceive the environment in a complementary manner, a more complete characterization of complex background interference can be achieved, providing a reliable foundation for subsequent coupling compensation and adaptive dimming.

[0063] The feature coupling module includes: a weight allocation unit, used to match preset algorithm weight parameters to the ambient illuminance value, background ambient color temperature value and spatial scattering evaluation value respectively; and a coupling calculation unit, used to perform feature fusion on the ambient illuminance value, background ambient color temperature value and spatial scattering evaluation value according to the algorithm weight parameters to generate a multidimensional light feature coupling compensation coefficient.

[0064] This embodiment provides a multi-dimensional optical feature coupling compensation mechanism. Specifically, after obtaining only three types of raw data—illuminance, color temperature, and scattering—directly using them side by side can easily lead to unclear weight allocation of feature factors. For example, the impact of scattering changes on the saliency of target lights during strong sunlight is different from that during light fog at night. Similarly, the interference of high color temperature background light on red obstacle lights at night is often greater than that of natural sky background during the day. Therefore, this embodiment introduces a weight allocation unit and a coupling calculation unit to make different environmental features exhibit different degrees of influence under different operating conditions.

[0065] In the specific implementation process, the weight allocation unit can assign influence levels to illuminance, color temperature and scattering respectively according to the preset scene library or long-term operation calibration results; the weights here do not require the support of complex training models, and can also be implemented by segmentation rules; for example, on a sunny day when pure natural light dominates, the system can increase the importance of the illuminance factor and reduce the influence of the background color temperature, because the city lights are less competitive on the overall visual at this time.

[0066] When high-brightness lighting equipment is running in urban commercial areas at night, the system can appropriately increase the importance of color temperature factors, because different spectral backgrounds have a more significant effect on the visibility of obstruction lights; in fog, haze, and drizzle conditions, the importance of scattering factors should be increased, because what really affects visibility at this time is often not the background brightness itself, but the blurring of the light boundary by the air medium; after obtaining the above influence levels, the coupling calculation unit outputs a multi-dimensional light feature coupling compensation coefficient.

[0067] This coefficient represents the gain amplification factor that characterizes the degree of adverse effect of the current environment on the visual presentation of the target light. Its function is not to replace a single parameter, but to change the way the environmental noise is understood. To ensure the quantification of the weighting process is clear, the coupled calculation unit performs dimensionless normalization processing on the ambient illuminance value, background ambient color temperature value and spatial scattering evaluation value based on extreme value mapping before summing.

[0068] Specifically, using ambient light illuminance values For example, the dimensionless normalization formula for its extremum mapping is:

[0069]

[0070] in, and These are the maximum and minimum ambient light illuminance values ​​collected within the preset observation period, respectively. For very small positive numbers, such as This is used to avoid system anomalies caused by a denominator of zero; background ambient color temperature value. Compared with spatial scattering assessment value The normalization process is similar, where... These are the maximum and minimum color temperatures collected within the preset observation period, respectively. These are the maximum and minimum values ​​of spatial scattering assessment collected within the preset observation period, respectively.

[0071] The system will normalize the three feature variables. , and , respectively with satisfying Algorithm weight parameters , and The algorithms multiply and sum, where the algorithm weight parameters are obtained based on a preset scene feature library or long-term operational data calibration, and the multidimensional optical feature coupling compensation coefficient is calculated using a formula. :

[0072]

[0073] This structured computation process avoids the direct linear superposition of environmental data with different dimensions;

[0074] When the system performs multi-dimensional feature weighting based on preset scene rules, assuming three environmental state segments L2, C2, and S2 are obtained, if the scene library determines that the current state is nighttime with a strong background of a commercial area and light fog, the weight allocation unit will make C2 and S2 have a higher influence level than L2. At this time, even if L2 itself is not high, the coupling result may still be identified as a strong interference environment. Conversely, if the background light source is singular and the air visibility is high before dawn, L2 has a greater effect, while C2 and S2 are only slightly adjusted. In this way, the same illuminance value will obtain different compensation results under different backgrounds, which is more in line with the real visual mechanism.

[0075] Regarding anomaly handling, if the system has not yet completed the long-term calibration of a new deployment location, the weight allocation unit can first call the general scenario weight set to run, and then gradually update it in the subsequent maintenance phase; if one of the three types of features continues to fail, the coupled calculation unit should not simply be zeroed out, but should re-normalize and allocate the remaining valid features to avoid the comprehensive result being excessively dragged down by the abnormal channel.

[0076] If all three channels experience drastic changes simultaneously, the system can determine that there are atypical disturbances in the external environment, such as spotlight sweeping or temporary construction lighting. At this time, the system will temporarily suspend the update of the coupling compensation coefficient and use a short-term stable value to maintain the output to prevent frequent flickering.

[0077] As night fell in the same building, traffic on the main urban road decreased, but the large stadium to the north temporarily turned on its bright white light, and a thin fog rose in the low sky. At this time, if only the illuminance was considered, the scene did not constitute an extremely bright environment. However, after introducing the coupling mechanism, the system will increase the combined effect of color temperature and scattering, so that the subsequent control will determine that the background interference is in an upward state, thereby avoiding the obstruction lights being misjudged as being able to continue to be dimmed.

[0078] By upgrading multi-source environmental data from parallel collection to a comprehensive solution with primary and secondary elements, a more realistic quantitative expression of the strength of background interference in complex scenes can be achieved.

[0079] The feature coupling module also includes a noise quantization unit, which is used to perform nonlinear correction on the ambient light illuminance value based on the multidimensional light feature coupling compensation coefficient to generate a comprehensive background ambient light interference value.

[0080] This embodiment provides a dynamic ambient light signal-to-noise ratio generation mechanism. Specifically, the multi-dimensional light feature coupling compensation coefficient has been obtained in the previous embodiment. However, if it only stays at the abstract judgment level of strong environmental interference, it is still insufficient to directly drive the output of the obstacle light. Because the ultimate control goal of the dimming system is whether the target light has sufficient visual saliency relative to the background, this embodiment further introduces three parts: benchmark acquisition, noise quantization, and threshold generation, so that the environmental state is transformed into a relative relationship index that can be used for control decision-making.

[0081] In the specific implementation process, the reference acquisition unit acquires the reference output light intensity of the target light source; this reference can be derived from the factory calibration value of the lamp, the online detection value, or the light intensity estimate under the current driving conditions, and its significance lies in characterizing the warning capability of the target lamp as a signal source itself;

[0082] The noise quantization unit does not treat ambient illuminance as background interference, but rather performs nonlinear correction on it based on the aforementioned coupling compensation coefficient. Considering that the visual response characteristics of the human eye to ambient background light interference exhibit a nonlinear pattern, the scattering caused by a small amount of high color temperature direct light or light fog in the nighttime background may produce a nonlinearly amplified visual occlusion effect on visibility.

[0083] Under uniform daylight, although the illuminance is high, the background structure is relatively simple, and the obstruction of specific flashing or pulse warning signals may not be equally severe. Therefore, the noise quantization result more accurately quantifies the severity of the obstruction of the obstacle light signal by the background light. The threshold generation unit establishes a comparison relationship between the effective light intensity and the comprehensive interference value of the background ambient light to form a dynamic ambient light signal-to-noise ratio. When the threshold is too low, it indicates that the signal is not prominent enough relative to the background. When the threshold is too high, it indicates that the current output may have a margin exceeding the preset contrast limit, and the output needs to be reduced to avoid the actual light intensity exceeding the preset safety anti-glare limit.

[0084] In terms of specific structured logic implementation, the noise quantization unit uses power function mapping or exponential scaling to achieve nonlinear correction. For example, the ambient light illuminance value is used as the base, and the multidimensional light feature coupling compensation coefficient is introduced into the calculation as an exponential gain term. This makes the background ambient light comprehensive interference value nonlinearly accelerated when the environmental interference components are complex, i.e. the coupling compensation coefficient is large, thus accurately characterizing the background occlusion effect from the human eye's perspective.

[0085] To ensure the monotonically increasing property, the extreme values ​​are mapped to the normalized ambient illuminance values. The conversion is performed by adding a preset offset constant, which is then set to a base that is strictly greater than 1. ,Right now Combined with multidimensional optical feature coupling compensation coefficient and preset environment scaling constant The overall interference value of background ambient light is calculated using a nonlinear quantization mapping rule. :

[0086]

[0087] Among them, the preset environmental scaling constant This is an empirical coefficient calibrated based on the physical installation height of the target light source and typical local weather visibility. To ensure dimensional consistency when calculating subsequent ratios, this coefficient... It has physical dimensions consistent with the effective light intensity of the target light source, and is used to scale the nonlinear exponential mapping result to a control range that the drive system can recognize; through the above nonlinear mathematical correlation, a structured definition of complex noise masking effect is realized;

[0088] In a specific control judgment logic, if the reference light intensity of the target light under the current operating condition is I1 and the comprehensive environmental interference state is N1; if the relative relationship between I1 and N1 falls within the safe protrusion range, the system maintains a stable output; if the relative relationship is close to the background occlusion edge, the subsequent control will increase the light intensity or adjust the pulse mode; if the relative relationship is much higher than the actual need, the control will prioritize reducing the average output while retaining the necessary peak characteristics, so as to balance the warning effect and glare control.

[0089] Regarding anomaly handling, if the reference acquisition unit detects that the actual light intensity is lower than the factory calibration due to lamp aging and the difference exceeds the preset tolerance range, it will no longer rely on historical calibration values, but will instead use online estimated values ​​as the effective light intensity source. If the comprehensive environmental interference value increases abnormally for a short period of time, such as when a nearby temporary construction spotlight sweeps across the sensor's field of view, the threshold generation unit can use time threshold discrimination. It will only participate in dimming after the anomaly has lasted for a preset observation period to prevent instantaneous interference from causing light flicker. If both the effective light intensity and the comprehensive environmental interference value are below the preset effective sensing lower limit threshold, such as in the middle of the night with no fog and no stray background light, the system should still maintain the minimum safety threshold and should not reduce the output without limit.

[0090] As the building entered the latter half of the night, the overall illuminance around the building was lower than the preset ambient illuminance threshold. However, the fog in the river below gradually rose, causing a slight halo around the obstruction lights. The reference acquisition unit confirmed that the current output of the light-emitting array was stable. The noise quantization unit improved its evaluation of background interference due to enhanced scattering. Therefore, although the illuminance value itself did not brighten significantly, the threshold generation result still showed that the relative relationship between the signal and the background was decreasing. The subsequent control increased the dimming level accordingly to ensure that the pilot could still clearly distinguish the outline of the target lights when observing from the side and front.

[0091] The complexity of the environment is further transformed into a basis for controlling the visual prominence of the target light relative to the background, thereby achieving dimming decisions that better meet visual safety requirements.

[0092] The control calculation module includes: a visual response correction unit, used to determine the preset illuminance range to which the ambient light illuminance value belongs, and to call the corresponding spectral sensitivity shift compensation curve based on the preset illuminance range; and an index calculation unit, used to combine the spectral sensitivity shift compensation curve with the dynamic ambient light signal-to-noise ratio, and output the visual saliency maintenance index through a preset visual compensation model.

[0093] This embodiment provides a visual response correction and exponential calculation mechanism. Specifically, after obtaining the dynamic ambient light signal-to-noise ratio, considering that the dominant visual mechanism of the human eye is different in bright, transitional and low-light environments, the response to the same spectral stimulus is different, and the sensitivity to changes in the color, edge and brightness of the target light is also biased. Therefore, this embodiment introduces a visual response correction unit and an exponential calculation unit in the control calculation module.

[0094] In the specific implementation process, the visual response correction unit determines which illuminance range it is in based on the ambient light illuminance value. The illuminance range here can be divided into several segments according to the system deployment standard, such as high illuminance segment, transitional illuminance segment and low illuminance segment. The system does not rely on complex ophthalmic models for derivation in the main text, but calls the corresponding spectral sensitivity shift compensation curve based on the pre-organized human visual response rules.

[0095] The problem lies in the fact that, for the same target light, the human eye's actual perception of its salience is not consistent under different brightness adaptation states. Therefore, it is necessary to adjust the control basis according to the observer state. The index calculation unit inputs the compensation curve and the dynamic ambient light signal-to-noise ratio into the visual compensation model and outputs the visual salience maintenance index.

[0096] This index is used to characterize the degree to which the current obstacle light can maintain stable warning recognition in the eyes of the observer. Its result directly determines whether the subsequent driving parameters should be increased, maintained, or decreased. At the level of specific calculation rules, the calculation of the preset visual compensation model is broken down into structured calculation steps: based on the current background ambient color temperature value, the corresponding sensitivity correction factor is located on the called spectral sensitivity shift compensation curve; the correction factor is multiplied by the dynamic ambient light signal-to-noise ratio to calculate the equivalent visual signal-to-noise ratio.

[0097] The model subtracts the equivalent visual signal-to-noise ratio from the preset standard reference signal-to-noise ratio corresponding to the target space. The preset standard reference signal-to-noise ratio is a fixed constant calibrated in advance based on visual recognition test data of the target light source at standard approach distances or civil aviation warning light specifications. Based on the calculated difference, the model is scaled down by a preset gain ratio, and the corresponding visual saliency maintenance index is directly calculated and output, thus achieving explicit interpretability. The mathematical expression corresponding to the above model calculation logic is:

[0098]

[0099] in, To maintain the visual saliency index. The dynamic gain scaling factor, which characterizes the preset mapping ratio, has an initial value that is a constant calibrated based on system environment experience. As a preset standard reference signal-to-noise ratio, As a sensitivity correction factor, For dynamic ambient light signal-to-noise ratio;

[0100] In the specific computational data stream of the visual compensation model, if the signal-to-noise ratio (SNR) at a certain moment is R1, and the visual response correction unit determines that it is currently in the transitional illumination range, it will match a compensation curve K1 that emphasizes the change in spectral sensitivity for R1; the exponential calculation unit will combine R1 and K1 and output V1; if the SNR at another moment is still R1, but the environment has entered the low illumination range, the matched compensation curve becomes K2, and different visual saliency maintenance results V2 may be obtained for the same R1; the system does not only consider physical light intensity, but also the visual adaptation state of the observer under the brightness background;

[0101] Regarding the system's fault-tolerant protection mechanism, if the illuminance value is near the boundary of an adjacent interval, the visual response correction unit can adopt a hysteresis switching or short-time averaging strategy to avoid frequently switching the compensation curve near the boundary; if the illuminance value fluctuates abnormally and cannot be stably classified, the system can temporarily use the compensation curve corresponding to the most recent stable interval until the environmental state is redefined; if the input received by the visual compensation model exceeds the effective range of the current curve, the exponential calculation unit should call a conservative mapping strategy to prioritize the warning effect rather than pursuing a reduction in system power consumption.

[0102] As the building transitions from dusk to night, the illuminance is decreasing, but the pilot's retina has not yet fully adapted to the low illuminance. At this time, although the ambient light signal-to-noise ratio shows that the target light still has a certain advantage, the visual response correction unit will determine that it is in the transition range and call up a compensation curve that is more suitable for the transition visual state. Based on this, the index calculation unit outputs a visual salience maintenance index that is slightly higher than that of the normal night mode, so that the obstacle light remains a clear warning during the illuminance transition phase.

[0103] By combining the physical state of the environment with the actual perception of the human eye, more accurate control can be achieved over the visibility of aviation obstruction lights.

[0104] The visual response correction unit is also used to divide the preset illuminance range by using a preset upper illuminance threshold and a preset lower illuminance threshold.

[0105] When the ambient light illuminance value is greater than the preset upper limit threshold, the photopic vision compensation curve is used as the spectral sensitivity shift compensation curve; when the ambient light illuminance value is less than or equal to the preset upper limit threshold and greater than the preset lower limit threshold, the intermediate vision compensation curve is used as the spectral sensitivity shift compensation curve, wherein the preset upper limit threshold is greater than the preset lower limit threshold; when the ambient light illuminance value is less than or equal to the preset lower limit threshold, the scotopic vision compensation curve is used as the spectral sensitivity shift compensation curve.

[0106] This embodiment provides a partitioned spectral sensitivity compensation mechanism. Specifically, although the above-mentioned visual response correction has introduced the concept of illuminance interval, a clearer interval calling rule is still needed when deploying in engineering. Otherwise, it is easy to be understood as just an abstract idea at the review and implementation level. To this end, this embodiment further subdivides the visual state into three categories: photopic vision, mesopic vision, and scotopic vision, and calls the corresponding compensation curves for each.

[0107] In the specific implementation process, based on historical meteorological data of the target space and the physiological photometric characteristics of human eye's light-dark vision conversion, preset upper and lower illuminance thresholds are pre-calibrated; the photopic vision compensation curve and scotopic vision compensation curve are based on the photopic spectral luminous efficiency function of the human eye's standard photometric observer as specified by the International Commission on Illumination. With the spectral luminous efficiency function of dark vision Extraction and generation, intermediate visual compensation curve based on and Weighted fusion fitting generation in the transitional illuminance range;

[0108] When the ambient light illuminance value is higher than the preset upper limit threshold, the system calls the photopic vision compensation curve. This stage usually corresponds to daytime or strong background lighting conditions. The human eye mainly uses the photopic vision mechanism and focuses on whether the target is prominent enough against a bright background. Therefore, the compensation curve emphasizes maintaining contrast in a strong background rather than excessively pursuing low-light visibility. When the ambient light illuminance value is between the upper and lower limit thresholds, the system calls the intermediate vision compensation curve.

[0109] This is commonly seen at dawn, dusk, when cloud cover is rapidly changing, or at the beginning of city nightfall. The human eye is in an adaptive transitional state and is particularly sensitive to spectral changes. This is the interval where the risk of misjudgment exceeds the preset stable judgment range. Therefore, this curve emphasizes the correction of spectral competition and saliency fluctuations. When the ambient light illuminance value is lower than or equal to the preset lower limit threshold, the system calls the dark vision compensation curve. At this time, the background is generally dark, and the human eye is more sensitive to weak light stimulation, but is also more susceptible to glare. Therefore, this curve focuses on suppressing unnecessary strong stimulation while ensuring recognition.

[0110] In the specific boundary division and curve calling logic, if the illuminance state is E1 above the upper limit, E2 between the two thresholds, and E3 below the lower limit, the visual response correction unit maps them to the corresponding photopic vision compensation curve M1, intermediate vision compensation curve M2, and scotopic vision compensation curve M3 respectively.

[0111] Assuming the same ambient light signal-to-noise ratio, when R2 is combined with M1, the output tends to ensure long-distance recognition during the day; when combined with M2, it focuses more on the stability of saliency during the transition period; when combined with M3, it focuses more on clear visibility and anti-glare at night; thus, the system completes the transformation from segmentation based on degree to segmentation based on visual mechanism.

[0112] Regarding the system's fault-tolerant protection mechanism, if the illuminance value fluctuates slightly around the upper or lower limit, the system can avoid frequent switching of the compensation curve by setting a dual-boundary strategy with different entry and exit thresholds. If the ambient illuminance instantly crosses multiple intervals due to sudden factors such as lightning or short-term light sweeping, the system can require multiple consecutive sampling cycles to meet the switching conditions before officially switching the curve. If the illuminance sensor malfunctions and the current visual interval cannot be determined, the system will prioritize calling the intermediate visual compensation curve as a transitional strategy, because this curve has good compromise stability under most operating conditions.

[0113] In the evening, the sun had already set below the horizon, but there was still afterglow in the western sky, and the lighting in the commercial area on the east side was constantly increasing. The on-site illuminance was just between the upper and lower thresholds. Therefore, the system called the intermediate visual compensation curve instead of directly processing it as night mode. After several tens of minutes, the afterglow in the sky disappeared and the ground illuminance decreased steadily. Then the system switched to the dark visual compensation curve, so that the output of the obstacle light transitioned from a control state that prevented the contrast of the target light source from falling below the safe lower limit during dusk to a control state that was clear and not dazzling at night.

[0114] This embodiment uses a clear visual partitioning logic to engineer the differences in human eye response at different illumination levels, thereby improving the consistency between the dimming results and the actual observation effect.

[0115] The control calculation module includes: a parameter mapping unit, used to map the visual saliency maintenance index to a target driving parameter combination, wherein the target driving parameter combination includes a target driving current value and a target pulse duty cycle value; and an instruction encapsulation unit, used to encapsulate the target driving parameter combination into a dimming control instruction and send it to the adaptive driving module based on the wireless network.

[0116] This embodiment provides a mapping mechanism from visual saliency to driving parameters. Specifically, the aforementioned steps have output the visual saliency maintenance index, but without a clear execution layer mapping relationship, the index still cannot be converted into a digital instruction that the driving execution module can recognize. Especially in the aviation obstruction light scenario, simply increasing the current or simply changing the pulse duty cycle may bring negative technical effects. Therefore, this embodiment introduces a parameter mapping unit and an instruction encapsulation unit so that the control result can directly drive hardware execution.

[0117] In the specific implementation process, the parameter mapping unit converts the visual saliency maintenance index into a combination of target driving parameters. The reason for using combination mapping here is that the driving current and the pulse duty cycle do not have the same effect on light output. The driving current is more directly related to the emission peak, device heating and transient brightness, while the pulse duty cycle affects the average emission time, visual stimulation duration and power consumption distribution.

[0118] For scenarios requiring penetration of complex backgrounds, the system can appropriately increase the driving current to enhance instantaneous recognition; for scenarios requiring glare suppression while maintaining visible features, the pulse duty cycle can be adjusted first; the parameter mapping unit can be implemented using segmented lookup tables or preset mapping tables; for example, assuming the visual saliency maintenance index is divided into three levels: V low, V medium, and V high, the parameter mapping unit can map them to driving parameter combinations P low, P medium, and P high, which include current parameters and duty cycle parameters, respectively;

[0119] The instruction encapsulation unit encapsulates these parameters into a structured control message, along with control fields such as timestamp, execution priority, and failure protection bits, and distributes it via wireless networking so that the adaptive drive module can execute it accurately. During the dynamic mapping of the target drive parameters, when the system rises from Vmedium to Vhigh, it does not necessarily mean that the lamp will increase its output power across the board, but may instead manifest as a moderate increase in current and simultaneous optimization of the duty cycle. When it falls from Vmedium to Vlow, it does not mean that the power will be directly reduced by a fixed ratio, but rather that it will be smoothly adjusted according to preset thermal safety and identification requirements. This avoids abrupt changes in the drive control parameters.

[0120] Regarding the system's fault-tolerant protection mechanism, if the parameter mapping unit finds that the target parameter exceeds the safe driving range of the lamp, it will automatically trim it to the allowable range and write a limiting flag in the control message; if the mapping result conflicts with the current temperature rise state of the lamp, for example, if the external high temperature causes insufficient thermal margin of the device, it will prioritize maintaining the pulse characteristics and limit the current rise to prevent thermal runaway; if the control message fails to be verified during wireless network transmission, the instruction encapsulation unit should trigger a retransmission; if the retransmission fails continuously, the adaptive drive module will maintain the most recent valid parameters and will not execute unknown instructions.

[0121] During the light fog phase at night, the visual salience maintenance index was assessed as a high adjustment level. Instead of simply adjusting the driving parameters of the target light source to full load output, the parameter mapping unit output a more targeted set of parameters: appropriately increasing the driving current to enhance peak recognition, while controlling the pulse duty cycle within a range that does not excessively increase the average output light intensity. The instruction encapsulation unit generates a dimming control instruction from this combination and sends it to the driving side, so that the light can penetrate the fog without forming excessive glare when viewed at close range.

[0122] The upper-level visual evaluation results are stably converted into lower-level hardware executable parameters, thereby achieving engineering closure between the algorithm layer and the driver layer.

[0123] The adaptive drive module includes: a current adjustment unit for parsing dimming control commands and adjusting the drive current of the target light source to the target drive current value; a pulse modulation unit for parsing dimming control commands and adjusting the pulse duty cycle of the target light source to the target pulse duty cycle value; and a state monitoring unit for acquiring the actual output light intensity of the target light source after adjustment and feeding the actual output light intensity back to the control calculation module to obtain the expected output light intensity corresponding to the dimming control command, so as to perform closed-loop correction of the preset visual compensation model based on the deviation between the actual output light intensity and the expected output light intensity.

[0124] This embodiment provides a closed-loop adaptive driving mechanism. Specifically, in the previous embodiment, the control calculation module has generated the target driving parameter combination. However, if the execution layer only performs open-loop output, the actual light intensity may still deviate from the expected value due to factors such as device aging, temperature rise, power fluctuation, and lens contamination. Especially in the long-term outdoor operation scenario of aviation obstruction lights, the environmental impact is significant. Therefore, this embodiment sets up a current adjustment unit, a pulse modulation unit, and a state monitoring unit in the adaptive driving module to form a closed-loop correction system.

[0125] In the specific implementation process, the current regulation unit is responsible for analyzing the target driving current value in the dimming control command, and making the light-emitting array reach the target current state through a constant current driving circuit, an adjustable power stage or a digital control power supply; the pulse modulation unit is responsible for analyzing the target pulse duty cycle value, and changing the light emission duration ratio through a pulse width modulator or a timing controller; after the two work together, the status monitoring unit collects the actual output light intensity after adjustment.

[0126] This data acquisition can be completed using a built-in optical feedback device, a proximity photosensitive detector, or a lamp self-test module. The system feeds back the actual output light intensity to the control calculation module and compares it with the expected output light intensity. If the deviation between the two persists, it indicates that the model has mismatched the characterization of the device state or the field environment, and the visual compensation model needs to be closed-loop corrected. This correction can be manifested as fine-tuning the mapping slope, correcting the output upper limit, adjusting the compensation curve switching boundary, etc., rather than overturning the entire model.

[0127] The specific calculation logic of the closed-loop correction is as follows: A proportional coefficient is set in the preset visual compensation model to map the degree of ambient light interference to the driving output; the dynamic gain scaling factor in the aforementioned formula is directly used. The mapping slope for this control cycle The system's mapping slope is based on the current control cycle. Actual output light intensity and expected output light intensity Calculate the error compensation weighting factor ;

[0128] When the error compensation weighting factor Continuous exceedance of the preset allowable error threshold Defined preset tolerance range At that time, a closed-loop update is triggered and passed through the rules. Obtain the mapping slope for the next period For example, when the actual output is consistently low, i.e. lead to At that time, the mapping slope is amplified proportionally, so that under the same ambient light threshold input, the system can calculate a higher value of dimming control command, thereby realizing a clear and controllable drive closed loop;

[0129] The specific control execution logic is as follows: Assuming a certain control command requires the execution of combination P3, theoretically, the expected output light intensity should be obtained. After the current regulation unit and pulse modulation unit execute their functions, the status monitoring unit obtains the actual output light intensity. ;like near If so, the system confirms that the current model is consistent with the hardware state; if long-term below This indicates potential issues such as light emission attenuation, increased driving losses, or lens contamination. In this case, the feedback information will prompt the control calculation module to generate a slightly higher compensation under the same subsequent conditions. Higher than The reason might be that the decrease in ambient temperature leads to an increase in luminous efficiency, and the model can also appropriately converge its output accordingly.

[0130] Regarding the system's fault tolerance protection mechanism, if the status monitoring unit itself is abnormal, the system should not continue to update the model based on the distortion feedback, but should freeze the model correction function, retain only open-loop execution, and limit the output to a safe range; if the actual output light intensity is detected to deviate from the expected value beyond the preset safety tolerance and beyond the closed-loop correction range, the system should report a maintenance alarm and switch the lamps to a fail-safe operation mode that meets the minimum requirements for aviation safety.

[0131] If current regulation is successful but pulse modulation fails, or conversely, only partial execution is successful, the drive module must prioritize ensuring the minimum visible output and prevent entering a frequent switching state; after running continuously in the same building for several months, dust accumulates on the surface of the obstruction light lens, causing a slight decrease in the actual output light intensity under the same drive parameters;

[0132] In a light foggy nighttime situation, the control module still issued dimming commands according to the historical model, but the status monitoring unit found that the actual output was lower than expected. Instead of immediately increasing the brightness significantly, the system confirmed the deviation over multiple cycles and then made a step-by-step correction to the visual compensation model based on a preset smoothing coefficient. This made the control commands in subsequent similar environments more consistent with the actual state of the current lamps, thereby restoring the established visual saliency.

[0133] The theoretical effectiveness of control commands will be further translated into real-world effectiveness, thereby achieving long-term stable operation under conditions of equipment aging, environmental disturbances, and model drift.

[0134] The target light source is an array of aviation obstruction lights, and the preset safe zone is the visual contrast zone that meets the preset aircraft visual avoidance light intensity standard.

[0135] This embodiment provides a scenario-based application mechanism for aviation obstruction light arrays. Specifically, to avoid the aforementioned solution being misunderstood as applicable to any landscape lighting or ordinary civilian lighting fixtures, this embodiment explicitly limits the target light source to aviation obstruction light arrays and further explains the engineering meaning of the preset safety zone, background ambient color temperature value, and spatial scattering evaluation value.

[0136] In practice, the target light source uses an array of aviation obstruction lights instead of a single light-emitting device. This is because the array structure facilitates light intensity redundancy, angle coverage, modular maintenance, and current / pulse graded control. The preset safe range is not an arbitrary subjective comfort range, but a visual contrast range determined based on the aircraft's visual avoidance requirements. Its lower limit corresponds to the minimum requirement that the pilot can stably identify the existence of obstacles at standard observation distances and typical approach angles. Its upper limit corresponds to the constraint requirement that, at close range or in dark backgrounds, excessive brightness should not cause glare, ghosting, or visual suppression.

[0137] In this embodiment, the background ambient color temperature value is specifically used to characterize the spectral interference level of urban background light pollution. This is because there are often high color temperature commercial lighting, low color temperature road lighting, and variable image displays around high-rise buildings. Although these backgrounds may not significantly increase the total illuminance, they will change the prominence of the target light relative to the background. The spatial scattering assessment value is used to characterize the degree of dynamic scattering effect of atmospheric aerosols, including the impact of fog, haze, drizzle, and suspended particles in humid air on the light propagation boundary and long-distance recognition capability.

[0138] In the complex determination of multi-dimensional environmental conditions, assuming the light-emitting array is in group A, if group A is operating near the lower limit of the safe range, while the background color temperature shows increased urban high color temperature light pollution, and the spatial scattering shows increased low air aerosol concentration, the system will determine that the visual contrast of the target light received by the pilot is decreasing. At this time, even if the physical light intensity of the array has not yet fallen below the traditional standard limit, the control logic can still take compensation actions in advance to ensure its recognizability in the real airspace background.

[0139] Regarding the system's fault tolerance and protection mechanisms, if long-term changes occur in the surrounding environment of the building, such as the operation of a new commercial district causing continuous changes in the nighttime background spectrum structure, the system can recalibrate the correspondence between the background environment color temperature and the interference level; if the duration of air particulate matter in a certain season exceeds the preset environmental calibration cycle and the concentration exceeds the preset standard value, resulting in an overall increase in the baseline of the scattering assessment value, the system can update the corresponding safety range control boundary, but must not exceed the minimum standard for aviation warnings; if individual sub-modules in the light-emitting array fail, the system can maintain the minimum warning requirements through the remaining array and trigger maintenance in conjunction with closed-loop monitoring.

[0140] After the super high-rise building was put into operation, several commercial complexes were built around it, and the number of high color temperature curtain wall lights and large display screens increased significantly at night. At the same time, low-altitude wet and cold fog layers are prone to occur in winter. The system continuously uses the background ambient color temperature value as a spectrum interference indicator, the spatial scattering assessment value as an atmospheric diffusion indicator, and maintains a safe range of visual contrast around the aircraft visual avoidance standard. As a result, the obstruction light array can still maintain a stable warning capability that meets aviation safety requirements after urban renewal and seasonal changes.

[0141] This embodiment clarifies the engineering definitions of the target equipment, evaluation boundaries, and key environmental factors for this solution, thereby enabling the accurate implementation and standardization of the technical solution in aviation obstacle warning scenarios.

[0142] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. An adaptive dimming system for aviation obstruction lights based on wireless networking, used to control target light sources, characterized in that, The system includes: An environmental sensing module is used to collect multi-dimensional ambient light characteristic data of the target space where the system is located. The multi-dimensional ambient light characteristic data includes ambient light illuminance value, background ambient color temperature value, and spatial scattering evaluation value. The feature coupling module is used to calculate the multidimensional light feature coupling compensation coefficient based on the multidimensional ambient light feature data, correct the ambient light illuminance value based on the multidimensional light feature coupling compensation coefficient to generate the background ambient light comprehensive interference value, obtain the current reference luminous intensity of the target light source as the effective light intensity, and set the ratio of the effective light intensity to the background ambient light comprehensive interference value as the dynamic ambient light signal-to-noise ratio. The control calculation module is used to take the dynamic ambient light signal-to-noise ratio as the input of the preset visual compensation model, calculate the visual saliency maintenance index based on the output of the preset visual compensation model, and generate a dimming control command and the expected output light intensity corresponding to the dimming control command according to the visual saliency maintenance index. The preset visual compensation model is a pre-constructed model that characterizes the mapping relationship between light features and human eye visual response. An adaptive drive module is used to adjust the drive current and pulse duty cycle of the target light source in response to the dimming control command.

2. The adaptive dimming system for aviation obstruction lights based on wireless networking according to claim 1, characterized in that, The environmental sensing module includes: An illuminance acquisition unit is used to acquire the ambient light illuminance value through a visible light sensor; A color temperature analysis unit is used to collect spectral data of the background environment and extract the color temperature value of the background environment based on the spectral data; The scattering evaluation unit is used to acquire infrared channel data and visible light channel data through a dual-channel infrared and visible light sensor, and extract the spatial scattering evaluation value based on the infrared channel data and the visible light channel data.

3. The adaptive dimming system for aviation obstruction lights based on wireless networking according to claim 1, characterized in that, The feature coupling module includes: The weight allocation unit is used to match preset algorithm weight parameters to the ambient light illuminance value, the background ambient color temperature value, and the spatial scattering evaluation value, respectively. The coupling calculation unit is used to perform feature fusion on the ambient light illuminance value, the background ambient color temperature value and the spatial scattering evaluation value according to the algorithm weight parameters, so as to generate the multidimensional light feature coupling compensation coefficient.

4. The adaptive dimming system for aviation obstruction lights based on wireless networking according to claim 3, characterized in that, The feature coupling module further includes: The noise quantization unit is used to perform nonlinear correction on the ambient light illuminance value based on the multidimensional light feature coupling compensation coefficient to generate the background ambient light comprehensive interference value.

5. The adaptive dimming system for aviation obstruction lights based on wireless networking according to claim 1, characterized in that, The control calculation module includes: A visual response correction unit is used to determine the preset illuminance range to which the ambient light illuminance value belongs, and to call the corresponding spectral sensitivity shift compensation curve based on the preset illuminance range. The index calculation unit is used to combine the spectral sensitivity shift compensation curve with the dynamic ambient light signal-to-noise ratio and output the visual saliency maintenance index through the preset visual compensation model.

6. The adaptive dimming system for aviation obstruction lights based on wireless networking according to claim 5, characterized in that, The visual response correction unit is also used to divide the preset illuminance range into boundaries using a preset upper illuminance threshold and a preset lower illuminance threshold. When the ambient light illuminance value is greater than the preset upper limit threshold, the photopic vision compensation curve is used as the spectral sensitivity shift compensation curve. When the ambient light illuminance value is less than or equal to the preset upper illuminance threshold and greater than the preset lower illuminance threshold, the intermediate visual compensation curve is used as the spectral sensitivity shift compensation curve, wherein the preset upper illuminance threshold is greater than the preset lower illuminance threshold. When the ambient light illuminance value is less than or equal to the preset lower limit threshold, the dark vision compensation curve is used as the spectral sensitivity shift compensation curve.

7. The adaptive dimming system for aviation obstruction lights based on wireless networking according to claim 1, characterized in that, The control calculation module includes: A parameter mapping unit is used to map the visual saliency maintenance index to a target driving parameter combination, wherein the target driving parameter combination includes a target driving current value and a target pulse duty cycle value; The instruction encapsulation unit is used to encapsulate the target driving parameters into the dimming control instruction and send it to the adaptive driving module based on the wireless network.

8. The adaptive dimming system for aviation obstruction lights based on wireless networking according to claim 7, characterized in that, The adaptive driving module includes: A current adjustment unit is used to parse the dimming control command and adjust the driving current of the target light source to the target driving current value; A pulse modulation unit is used to parse the dimming control command and adjust the pulse duty cycle of the target light source to the target pulse duty cycle value; The status monitoring unit is used to collect the actual output light intensity of the target light source after adjustment, and feed the actual output light intensity back to the control calculation module to obtain the expected output light intensity corresponding to the dimming control command, so as to perform closed-loop correction on the preset visual compensation model based on the deviation between the actual output light intensity and the expected output light intensity.

9. The adaptive dimming system for aviation obstruction lights based on wireless networking according to claim 1, characterized in that, The target light source is an array of aviation obstruction lights, and the preset safe zone is a visual contrast zone that meets the preset aircraft visual avoidance light intensity standard.

Images