A landscape lighting multi-scene adaptive dimming control system

Abstract

The application discloses a landscape brightening multi-scene adaptive dimming control system, relates to the technical field of dimming control, and is used for solving the problem of visual discontinuity caused by direct jump of dimming instructions of a landscape brightening system during program switching, generating a switching span evaluation quantity by fusing Euclidean distance and Chebyshev distance through acquisition of dimming instructions before and after programs, correcting switching span grades by comprehensively considering facade environment base illuminance and flow density of a viewing area, and generating a hierarchical transition trajectory planning quantity, generating a visual response deviation quantity by fusing actual light feedback quantity of lamps and viewing side visual response sampling brightness, and identifying a visual discontinuity risk section, performing an inverse tangent compression mapping slope callback on the risk section, and archiving the correction result as a correction reference for next similar program switching, so that adaptive smooth transition of dimming instructions in the whole process of program switching is realized, visual discontinuity is eliminated, and switching experience is continuously accumulated.

Description

Technical Field

[0001] This invention relates to the field of dimming control technology, and more specifically, to a multi-scene adaptive dimming control system for landscape lighting. Background Technology

[0002] Landscape lighting systems are widely used in urban building facades, bridges, public squares and other places. By programmably adjusting the brightness and color temperature of the lights, diverse visual display effects can be achieved. The brightness and color temperature parameters of different shows vary. When switching shows, it is necessary to complete the dimming transition from the steady-state parameters of the current show to the set parameters of the next show. The smoothness of the transition process directly affects the quality of the viewer's visual experience.

[0003] The existing technology has the following shortcomings: Currently, existing technologies issue dimming commands by using fixed-duration linear transitions or direct jumps when switching between shows. They lack the ability to comprehensively perceive and adaptively adjust the switching span, ambient lighting, and crowd density in the viewing area. They cannot identify and correct the discontinuities in the transition process based on actual visual perception deviations, resulting in frequent visual discontinuities, poor transition continuity, and the inability to accumulate and reuse switching experience across shows. Therefore, a multi-scene adaptive dimming control system for landscape lighting is proposed.

[0004] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] To overcome the aforementioned deficiencies of the prior art, embodiments of the present invention provide a multi-scene adaptive dimming control system for landscape lighting. This system utilizes a switching span hierarchical evaluation, environmental perception trajectory planning, and a visual response deviation-driven fault identification and slope callback closed-loop mechanism to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a multi-scene adaptive dimming control system for landscape lighting, comprising a span evaluation module, a trajectory planning module, a fault identification module, and a trajectory callback module, the functions of each module being as follows: The span assessment module is used to collect the steady-state dimming instructions of the previous show and the set dimming instructions of the subsequent show. It combines the steady-state dimming instructions of the previous show and the set dimming instructions of the subsequent show to generate a switching span assessment quantity. Based on the switching span assessment quantity, the switching span level is identified and the switching span level is passed to the trajectory planning module. The trajectory planning module is used to collect the illuminance of the facade environment base and the pedestrian density in the viewing area. Based on the illuminance of the facade environment base and the pedestrian density in the viewing area, the switching span level is corrected to generate an effective switching span level. Dynamic planning is performed on the effective switching span level to generate a transition trajectory planning quantity. The transition trajectory planning quantity drives the transition output of the dimming command and transmits the transition trajectory planning quantity to the tomography recognition module. The tomography identification module is used to collect the actual light output feedback of the lamps and the visual response sampling brightness on the viewing side during the transition output execution. It compares the actual light output feedback of the lamps with the visual response sampling brightness on the viewing side to generate a visual response deviation. Based on the visual response deviation, it determines whether to mark the visual tomography at the current moment. Based on the marking density, it identifies the visual tomography risk section and transmits the visual tomography risk section, visual response deviation, and transition trajectory planning quantity to the trajectory callback module. The trajectory callback module is used to call back the transition trajectory planning quantity for visual fault risk sections, re-execute the transition output, select whether to remove the mark based on the visual response deviation, update the corrected transition trajectory planning quantity as the correction benchmark, and send the corrected transition trajectory planning quantity back to the trajectory planning module as the correction benchmark for the next switch of the same type of show.

[0007] In a preferred embodiment, in the span evaluation module, the luminance and color temperature components of the steady-state dimming instruction for the previous show are recorded as the luminance reference value and color temperature reference value, respectively; the luminance and color temperature components of the dimming instruction for the subsequent show are recorded as the luminance target value and color temperature target value, respectively. The absolute value of the difference between the luminance dimension reference value and the luminance dimension target value is taken as the luminance span difference, and the absolute value of the difference between the color temperature dimension reference value and the color temperature dimension target value is taken as the color temperature span difference; The switching span evaluation metric is generated by using the geometric fusion of the brightness span difference and color temperature span difference between Euclidean and Chebyshev distances.

[0008] In a preferred embodiment, in the span evaluation module, the switching span evaluation value is compared with preset small span thresholds and large span thresholds: When the switching span assessment value is less than or equal to the small span threshold, the switching span level is generated as small span; When the switching span assessment value is greater than the small span threshold and less than or equal to the large span threshold, the generated switching span level is medium span. When the switching span assessment value is greater than the large span threshold, the switching span level is generated as large span.

[0009] In a preferred embodiment, in the trajectory planning module, the illuminance of the facade environment base is the illuminance value collected by the ambient light sensor at the facade location when the landscape lighting fixtures are not emitting light. The crowd density in the viewing area is the real-time number of people present, as counted by the crowd counter per unit area of ​​the viewing area. An environmental visual impact coefficient is generated by combining the base illuminance of the facade environment and the pedestrian density in the viewing area using a harmonic averaging method. The small, medium, and large spans in the switching span levels are mapped to the basic level values ​​one, two, and three, respectively, and then corrected multiplicatively with the environmental visual impact coefficient to obtain the numerical representation of the effective switching span levels.

[0010] In a preferred embodiment, in the trajectory planning module, the transition trajectory planning quantity is the instruction time sequence of the entire transition process from the steady-state dimming instruction of the previous show to the dimming instruction of the subsequent show. When the effective switching span level is small span, the transition trajectory planning amount is to linearly interpolate the dimming command from the steady-state value of the previous show to the set value of the next show at a constant slope within a preset short transition time. When the effective switching span level is medium span, the transition trajectory planning quantity is a medium-duration slow start and slow stop trajectory, and the Sigmoid function is used to modulate the time axis of the transition duration; When the effective switching span level is large span, the transition trajectory planning quantity is a long-duration segmented slope trajectory, which divides the transition duration into three segments: acceleration segment, constant speed segment, and deceleration segment, with the slope of each segment changing linearly and gradually. Based on the transition trajectory planning quantity, dimming commands are issued moment by moment between the steady-state dimming command of the previous show and the dimming command of the subsequent show.

[0011] In a preferred embodiment, in the tomographic identification module, the actual light output feedback of the luminaire refers to the actual output luminous flux of the luminaire; Viewing-side visual response sampling brightness refers to the apparent brightness of the facade collected by visual response monitoring equipment mounted facing the illuminated facade; The visual response deviation is obtained by combining the standardized results of the actual light output feedback from the luminaire with the sampled brightness of the visual response from the viewing side.

[0012] In a preferred embodiment, in the tomography identification module, when the visual response deviation is greater than the visual tomography threshold, visual tomography is marked at the corresponding time. Conversely, no mark is made for the corresponding time. Slide a time window with a preset time window length on the transition time axis, and use the ratio of the number of visual tomographic markers to the window length as the marker density: When the marker density is greater than or equal to the preset marker density threshold, the time period corresponding to the time window is determined as a visual tomography risk zone. Conversely, time periods are not classified as visual tomography risk zones.

[0013] In a preferred embodiment, in the trajectory callback module, for the visual tomographic risk segment, the instruction slope sequence corresponding to its transition trajectory planning quantity is extracted, and slope callback is performed to obtain the instruction slope of the transition trajectory planning quantity before the callback. Based on the planned amount of the transition trajectory after the pullback, the dimming command is reissued within the visual fault risk zone. The actual light output feedback from the luminaires and the sampled brightness of the visual response on the viewing side are collected, and the visual response deviation in the visual tomography risk zone is recalculated. When the maximum value of the visual response deviation is less than or equal to the visual tomography threshold, all visual tomography markers in the visual tomography risk zone are removed. Conversely, visual tomographic markers within the visual tomographic risk zone are preserved.

[0014] In a preferred embodiment, in the trajectory callback module, the slope callback is executed again based on the transition trajectory planning amount after the callback, and the transition output is executed again; The final transition trajectory planning quantity after the callback is completed will be archived to the program transition benchmark library according to the program number of this switch, and updated to the correction benchmark when the next switch from the same previous program to the same subsequent program is initiated.

[0015] The technical effects and advantages of this invention are as follows: This invention generates a switching span assessment quantity by fusing Euclidean distance and Chebyshev distance, dynamically generates differentiated transition trajectories by combining environmental visual impact coefficients, accurately locates visual fault risk segments using the vector norms of static and dynamic difference terms, and performs closed-loop slope callback and precipitates correction benchmarks by using arctangent function compression mapping. This achieves automatic elimination of visual faults during the switching process of multiple shows in landscape lighting, significantly improving the continuity of switching and visual comfort on the viewing side. At the same time, the cross-time experience reuse of the show transition benchmark library reduces the probability of repeated faults and improves the overall performance quality of the system. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating the implementation of a multi-scene adaptive dimming control system for landscape lighting according to the present invention.

[0017] Figure 2 This is a schematic diagram of a multi-scene adaptive dimming control system for landscape lighting according to the present invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] This invention eliminates visual discontinuities during the switching of multiple shows in landscape lighting by adaptively evaluating the dimming span between shows and planning the environmental perception trajectory, combined with visual response fault identification and closed-loop slope callback mechanism, thereby improving the continuity of switching and the viewing experience.

[0020] Example 1: Please refer to Figures 1 to 2 A landscape lighting multi-scene adaptive dimming control system includes a span evaluation module, a trajectory planning module, a fault recognition module, and a trajectory callback module, with electrical signal connections between the modules; The functions of each module are as follows: The span assessment module is used to collect the steady-state dimming instructions of the previous show and the set dimming instructions of the subsequent show. It combines the steady-state dimming instructions of the previous show and the set dimming instructions of the subsequent show to generate a switching span assessment quantity. Based on the switching span assessment quantity, the switching span level is identified and the switching span level is passed to the trajectory planning module. The trajectory planning module is used to collect the illuminance of the facade environment base and the pedestrian density in the viewing area. Based on the illuminance of the facade environment base and the pedestrian density in the viewing area, the switching span level is corrected to generate an effective switching span level. Dynamic planning is performed on the effective switching span level to generate a transition trajectory planning quantity. The transition trajectory planning quantity drives the transition output of the dimming command and transmits the transition trajectory planning quantity to the tomography recognition module. The tomography identification module is used to collect the actual light output feedback of the lamps and the visual response sampling brightness on the viewing side during the transition output execution. It compares the actual light output feedback of the lamps with the visual response sampling brightness on the viewing side to generate a visual response deviation. Based on the visual response deviation, it determines whether to mark the visual tomography at the current moment. Based on the marking density, it identifies the visual tomography risk section and transmits the visual tomography risk section, visual response deviation, and transition trajectory planning quantity to the trajectory callback module. The trajectory callback module is used to call back the transition trajectory planning quantity for visual fault risk sections, re-execute the transition output, select whether to remove the mark based on the visual response deviation, update the corrected transition trajectory planning quantity as the correction benchmark, and send the corrected transition trajectory planning quantity back to the trajectory planning module as the correction benchmark for the next switch of the same type of show.

[0021] When a program switch is initiated, the span evaluation module retrieves the steady-state dimming instruction of the previous program from the program controller and reads the dimming instruction of the next program from the program script.

[0022] The previous show steady-state dimming instruction refers to the combination of brightness and color temperature dimming parameters maintained by the lighting fixtures when the current show is in a stable operating state at the time of switching initiation; the next show set dimming instruction refers to the combination of initial brightness and color temperature dimming parameters pre-configured in the script of the next show.

[0023] The brightness and color temperature components of the steady-state dimming command for the previous show are denoted as the brightness reference value and color temperature reference value, respectively. The brightness and color temperature components of the dimming command for the subsequent show are denoted as the brightness target value and color temperature target value, respectively.

[0024] The luminance dimension is measured in duty cycle, while the color temperature dimension is measured in Kelvin. Since the two dimensions have different dimensions, the Max-min normalization algorithm is used to standardize them first. , , in, , These are the baseline value and the target value for the brightness dimension, respectively. , These are the baseline value and the target value for color temperature, respectively. , These represent the lower and upper limits of the system's color temperature adjustment range.

[0025] The original values ​​of the luminance dimension already fall within the zero-to-one range and are directly used as the standardized result; the color temperature dimension is mapped to the zero-to-one range through a linear transformation. After this processing, the luminance and color temperature dimensions are homologous and can be fused subsequently.

[0026] Based on the standardization, calculate the difference in brightness span and the difference in color temperature span: , The difference in brightness span reflects the magnitude of the change in brightness in the performance, while the difference in color temperature span reflects the magnitude of the change in color temperature in the performance.

[0027] The switching span evaluation quantity is generated by geometrically fusing Euclidean distance and Chebyshev distance: , , , in, It is the Euclidean distance between the difference in brightness and the difference in color temperature, reflecting the overall scale of the jump in the two dimensions; Chebyshev distance is the difference between the brightness span and the color temperature span, reflecting the scale of the single dimension with the most significant jump between the two dimensions; This refers to the switching span assessment value. The larger the value, the greater the potential visual impact of this program switching on the viewer.

[0028] The switching span level refers to the discrete level obtained by dividing the switching span evaluation quantity according to a preset interval. It includes three levels: small span, medium span, and large span, which reflect the trajectory complexity requirements corresponding to this switching.

[0029] The switching span evaluation value is compared with the preset small span threshold and large span threshold: When the switching span assessment value is less than or equal to the small span threshold, the switching span level is generated as small span; When the switching span assessment value is greater than the small span threshold and less than or equal to the large span threshold, the generated switching span level is medium span. When the switching span assessment value is greater than the large span threshold, the switching span level is generated as large span.

[0030] The method for determining the small span threshold and the large span threshold is as follows: During the system's on-site debugging period, select multiple sets of real drama pairs covering different combinations of brightness and color temperature to perform actual switching, calculate the corresponding switching span evaluation quantity for each set of drama pairs, and obtain the sample distribution of the switching span evaluation quantity; take the lower third of the sample distribution as the small span threshold, and take the upper third of the sample distribution as the large span threshold, so that all drama pairs are evenly divided into three levels: small span, medium span, and large span according to the switching span evaluation quantity.

[0031] After receiving the switch span level, the trajectory planning module collects the base illuminance of the facade environment and the pedestrian density in the viewing area, generates the transition trajectory planning quantity, and drives the transition output of the dimming command.

[0032] The facade refers to the exterior surface of the building illuminated by the landscape lighting system; the viewing area refers to the area in front of the illuminated facade where people stay and pass through.

[0033] The facade ambient base illuminance is collected in real time by ambient light sensors deployed at the facade locations. This illuminance is the ambient light value collected by the sensors at the facade locations when the landscape lighting fixtures are not emitting light. The pedestrian density in the viewing area is obtained by counting the number of people per square meter using a visitor counter deployed at the entrance of the viewing area. Since the two have different dimensions, the Max-min normalization algorithm is applied to standardize them, resulting in the standardized results for both the facade ambient base illuminance and the viewing area pedestrian density. These standardized results are then labeled as follows: and .

[0034] The larger the value, the stronger the ambient light of the environment in which the facade is located, the more the visual changes are diluted by the ambient light, and the smaller the actual perceptual range for the viewer. The larger the value, the denser the crowd in the viewing area, the more focused the viewers are, the lower their visual tolerance for sudden changes in the image, and the greater the actual perceived range.

[0035] The environmental visual impact coefficient is generated by using a harmonic averaging method. , in, The environmental visual impact coefficient reflects the degree to which the current viewing environment amplifies or suppresses changes in the image. To prevent small constants from being divided by zero. The larger the value, the more sensitive the environment is to sudden changes in the image, requiring a smoother transition path.

[0036] The effective switching span level is the actual perceived span level after correction by the environmental visual impact coefficient. The small, medium, and large spans in the switching span levels are mapped to basic level values ​​one, two, and three, respectively, and corrected multiplicatively with the environmental visual impact coefficient. , in, Basic level value, To effectively switch the numerical representation of the span level; The larger the value, the greater the actual perceived range.

[0037] Will According to the preset range The performance was reclassified into three tiers, corresponding to small, medium, and large spans, resulting in an effective switching range level. The boundaries of this range were determined by analyzing multiple performances during the on-site testing phase. The lower and upper tertiary values ​​of the sample distribution are determined, thereby uniformly dividing all samples into three tiers.

[0038] The transition trajectory planning quantity is the instruction time sequence of the entire transition process from the steady-state dimming instruction of the previous show to the set dimming instruction of the subsequent show, including both transition duration and trajectory shape. The transition trajectory planning quantity is generated based on the effective switching span level. When the effective switching span level is small span, the transition trajectory planning quantity is a short-duration linear trajectory, that is, within the preset short transition duration, the dimming command is linearly interpolated from the steady-state value of the previous show to the set value of the next show with a constant slope. Among them, the steady-state dimming command of the previous show is the starting endpoint value of the linear interpolation, and the set dimming command of the next show is the ending endpoint value of the linear interpolation. When the effective switching span level is medium span, the transition trajectory planning quantity is a medium-duration slow start and slow stop trajectory, and the Sigmoid function (S-shaped curve function) is used to modulate the time axis: , in, For normalized transition time, The center point of the curve, This is the steepness coefficient, which makes the slope small at both ends of the transition and the slope large in the middle section. When the effective switching span level is large span, the transition trajectory planning quantity is a long-duration segmented slope trajectory, which divides the transition duration into three segments: acceleration segment, constant speed segment, and deceleration segment, with the slope of each segment changing linearly.

[0039] The method for determining short, medium, and long transition times is as follows: During the system's on-site debugging period, multiple sets of dramas are selected for switching tests under the three effective switching span levels of small, medium, and large. The transition time of each set of tests is evaluated to determine whether there are no gaps or delays. The median value of the transition time of the evaluated set is used as the preset transition time for each level.

[0040] The trajectory planning module issues transitional dimming commands hourly between the steady-state dimming command of the previous show and the dimming command of the subsequent show, based on the transitional trajectory planning quantity, to complete the transitional output of the dimming commands. At the same time, the transitional trajectory planning quantity is transmitted to the tomography recognition module.

[0041] During the transition output execution, the tomography identification module collects the actual light output feedback from the luminaire and the sampled brightness of the visual response on the viewing side, generates the visual response deviation, and identifies the visual tomography risk segment.

[0042] The actual light output feedback of the luminaire refers to the actual output luminous flux collected in real time by the current-luminous flux feedback path on the luminaire node, reflecting the real result of the command issued by the command side being converted into light output; the visual response sampling brightness on the viewing side refers to the apparent brightness of the facade collected by the visual response monitoring equipment installed facing the illuminated facade, reflecting the brightness of the image actually perceived by the viewer.

[0043] The visual response monitoring device is an imaging brightness acquisition device, which in this case is used to continuously acquire the time series of apparent brightness of the facade in the viewing direction during transition output execution.

[0044] The actual light output feedback of the luminaire is measured in lumens, while the visual response sampling brightness on the viewing side is measured in candela per square meter. Since the two have different dimensions, the Max-min normalization algorithm is used to perform normalization processing to obtain the normalized results of the actual light output feedback of the luminaire and the visual response sampling brightness on the viewing side.

[0045] Visual response bias is incorporated into static and dynamic difference terms and fused using a vector norm: , in, for Momentary visual response deviation; , They are respectively The standardized results of the actual light output feedback of the luminaire at any given time and the sampled brightness of the visual response on the viewing side; This is the relative magnitude coefficient of the dynamic difference term.

[0046] The larger the value, the more severe the mismatch between the amount of information issued by the command side and the actual amount perceived by the viewing side at the current moment. The static difference term reflects the absolute level mismatch between the two sides, while the dynamic difference term reflects the instantaneous trend mismatch between the two sides. Including both at the same time can make the fault determination sensitive to both types of fault causes: brightness level difference and sudden brightness change.

[0047] Determination method: During the on-site rehearsal period, the magnitudes of static and dynamic differences are statistically analyzed during the transition between typical repertoire pairs. The ratio that makes their contributions comparable is taken as the [value / value]. The assignment.

[0048] Visual tomography markers are binary labels used to determine whether a given moment in the transition process constitutes a visual tomographic moment. The visual response deviation at each moment is compared to a preset visual tomographic threshold. When the visual response deviation is greater than the visual tomography threshold, a visual tomography marker is applied at that moment. When the visual response deviation is less than or equal to the visual tomography threshold, no visual tomography marker is applied at that moment.

[0049] Method for determining the visual tomography threshold: During on-site debugging, multiple sets of real drama pairs were selected to perform switching tests. The time series of visual response deviation during the entire transition process of each set was collected. The visual response deviation samples of all test sets were summarized, and the lower quartile value of the sample distribution was taken as the visual tomography threshold. The purpose of taking the lower quartile value is to retain higher sensitivity in tomography judgment.

[0050] The visual tomography risk zone refers to the time segment on the transition time axis where visual tomography markers are continuously present. A time window of preset length is slid along the transition time axis, and the ratio of the number of times visual tomography markers are present within the window to the window length is used as the marker density. When the marker density is greater than or equal to the preset marker density threshold, the time period corresponding to the time window is determined as a visual tomography risk zone. When the marker density is less than the preset marker density threshold, the time period will not be identified as a visual tomography risk zone.

[0051] Method for determining the marker density threshold: During the on-site debugging period, multiple sets of real drama pairs were selected to perform switching tests. The time series of visual response deviation during the entire transition process of each set was collected. The sample distribution of marker density within each sliding time window was statistically analyzed. The upper quartile value of the sample distribution was taken as the marker density threshold to ensure that risk segment judgment is triggered only in the segment with significantly high marker density.

[0052] The trajectory callback module performs a callback on the transition trajectory planning quantity based on the visual fault risk segment and the visual response deviation, re-executes the transition output, and updates the corrected transition trajectory planning quantity as the correction benchmark.

[0053] For each visual tomographic risk segment, extract the instruction slope sequence corresponding to that segment in the transition trajectory planning quantity, and execute the slope callback: , , in, Planning quantity for transition trajectory before pullback The instruction slope at time t, Planning quantity for transition trajectory after callback The instruction slope at time t, This is the slope callback coefficient, with a value falling between zero and one open. The smaller the value, the stronger the slope compression and the smoother the transition.

[0054] The slope correction coefficient is determined by the mean of the visual response deviation in that segment through arctangent function compression mapping: , in, This represents the mean value of the visual response deviation within this segment. This is the compressive strength coefficient.

[0055] The larger the value, the closer the output of the arctangent function is to the value. , The closer to zero, the stronger the slope compression; The smaller the value, the closer the output of the arctangent function is to zero. The closer it gets to one, the more the slope remains almost unchanged.

[0056] The determination method is as follows: During on-site debugging, multiple sets of real performances are selected for switching tests. The average visual response deviation within the visual tomography risk zone of each set is collected. For each set of average visual response deviations, the goal is to reduce the peak visual response deviation within the zone after the pullback to exactly the visual tomography threshold. The slope pullback coefficient that satisfies the condition is then solved inversely. Finally, the slope pullback coefficient is substituted into the arctangent compression mapping formula to solve the corresponding... The results obtained from multiple inverse solutions Take the statistical median as The final assignment.

[0057] Based on the planned amount of the transition trajectory after the callback, the dimming command is reissued in the visual tomography risk zone to complete the re-transition output of that zone.

[0058] During the re-execution of the transition output, the actual light output feedback of the lamp and the visual response sampling brightness on the viewing side are continuously collected. The visual response deviation is recalculated in the same way as the tomographic identification module, and the maximum value of the visual response deviation is extracted.

[0059] Compare the maximum visual response deviation within this segment with the visual tomographic threshold: When the maximum visual response deviation is less than or equal to the visual tomography threshold, all visual tomography markers in the visual tomography risk segment are removed, and the correction of this segment is completed. When the maximum visual response deviation is still greater than the visual tomography threshold, the visual tomography markers in the visual tomography risk zone are retained, and the slope callback is executed again based on the transition trajectory planning amount after the callback. That is, the slope callback coefficient is multiplied by the original value and the new callback coefficient obtained by the arctangent function compression mapping. Then the transition output is executed again.

[0060] The final transition trajectory planning quantity after callback is archived to the drama transition benchmark library according to the drama pair number of this switch, and updated to the correction benchmark when the next switch from the same previous drama to the same subsequent drama is initiated. When the same drama pair is switched again, the trajectory planning module directly calls this correction benchmark as the initial value of the transition trajectory planning quantity, and callbacks are made again when the fault identification module detects visual fault risk sections again.

[0061] The program transition benchmark library is a structured data collection that uses program pair numbers as an index to store the final callback results of each program pair in previous cycles. It is used for experience accumulation and initial trajectory reuse across switching cycles.

[0062] Finally, it should be noted that in this paper, relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations.

[0063] Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0064] In this document, the singular forms “a,” “an,” and “the” may also include the plural forms unless the context clearly indicates otherwise. It should also be understood that terms such as “comprising / including” or “having” specify the presence of the stated features, integrals, steps, operations, components, parts, or combinations thereof, but do not preclude the possibility of the presence or addition of one or more other features, integrals, steps, operations, components, parts, or combinations thereof. Meanwhile, the term “and / or” as used in this specification includes any and all combinations of the associated listed items.

[0065] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can be referred to each other.

[0066] The above description of the disclosed embodiments will enable those skilled in the art to make or use various modifications to these embodiments. It will be readily apparent to those skilled in the art that the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A landscape lighting multi-scene adaptive dimming control system, characterized in that: The span assessment module, trajectory planning module, fault identification module, and trajectory callback module each have the following functions: The span assessment module is used to collect the steady-state dimming instructions of the previous show and the set dimming instructions of the subsequent show. It combines the steady-state dimming instructions of the previous show and the set dimming instructions of the subsequent show to generate a switching span assessment quantity. Based on the switching span assessment quantity, the switching span level is identified and the switching span level is passed to the trajectory planning module. The trajectory planning module is used to collect the illuminance of the facade environment base and the pedestrian density in the viewing area. Based on the illuminance of the facade environment base and the pedestrian density in the viewing area, the switching span level is corrected to generate an effective switching span level. Dynamic planning is performed on the effective switching span level to generate a transition trajectory planning quantity. The transition trajectory planning quantity drives the transition output of the dimming command and transmits the transition trajectory planning quantity to the tomography recognition module. The tomography identification module is used to collect the actual light output feedback of the lamps and the visual response sampling brightness on the viewing side during the transition output execution. It compares the actual light output feedback of the lamps with the visual response sampling brightness on the viewing side to generate a visual response deviation. Based on the visual response deviation, it determines whether to mark the visual tomography at the current moment. Based on the marking density, it identifies the visual tomography risk section and transmits the visual tomography risk section, visual response deviation, and transition trajectory planning quantity to the trajectory callback module. The trajectory callback module is used to call back the transition trajectory planning quantity for visual fault risk sections, re-execute the transition output, select whether to remove the mark based on the visual response deviation, update the corrected transition trajectory planning quantity as the correction benchmark, and send the corrected transition trajectory planning quantity back to the trajectory planning module as the correction benchmark for the next switch of the same type of show.

2. The landscape lighting multi-scene adaptive dimming control system according to claim 1, characterized in that: In the span assessment module, the luminance and color temperature components of the steady-state dimming command for the previous show are recorded as the luminance reference value and color temperature reference value, respectively; the luminance and color temperature components of the dimming command for the subsequent show are recorded as the luminance target value and color temperature target value, respectively. The absolute value of the difference between the luminance dimension reference value and the luminance dimension target value is taken as the luminance span difference, and the absolute value of the difference between the color temperature dimension reference value and the color temperature dimension target value is taken as the color temperature span difference; The switching span evaluation metric is generated by using the geometric fusion of the brightness span difference and color temperature span difference between Euclidean and Chebyshev distances.

3. The landscape lighting multi-scene adaptive dimming control system according to claim 1, characterized in that: In the span assessment module, the span assessment value is compared with the preset small span threshold and large span threshold: When the switching span assessment value is less than or equal to the small span threshold, the generated switching span level is small span; When the switching span assessment value is greater than the small span threshold and less than or equal to the large span threshold, the generated switching span level is medium span. When the switching span assessment value is greater than the large span threshold, the switching span level is generated as large span.

4. The landscape lighting multi-scene adaptive dimming control system according to claim 3, characterized in that: In the trajectory planning module, the illuminance of the facade environment base is the ambient illuminance value collected by the ambient light sensor at the facade location when the landscape lighting fixtures are not emitting light. The crowd density in the viewing area is the real-time number of people present, as counted by the crowd counter per unit area of ​​the viewing area. An environmental visual impact coefficient is generated by combining the base illuminance of the facade environment and the pedestrian density in the viewing area using a harmonic averaging method. The small, medium, and large spans in the switching span levels are mapped to the basic level values ​​one, two, and three, respectively, and then corrected multiplicatively with the environmental visual impact coefficient to obtain the numerical representation of the effective switching span levels.

5. A landscape lighting multi-scene adaptive dimming control system according to claim 4, characterized in that: In the trajectory planning module, the transition trajectory planning quantity is the instruction time sequence of the entire transition process from the steady-state dimming instruction of the previous show to the dimming instruction of the subsequent show. When the effective switching span level is small span, the transition trajectory planning amount is to linearly interpolate the dimming command from the steady-state value of the previous show to the set value of the next show at a constant slope within a preset short transition time. When the effective switching span level is medium span, the transition trajectory planning quantity is a medium-duration slow start and slow stop trajectory, and the Sigmoid function is used to modulate the time axis of the transition duration; When the effective switching span level is large span, the transition trajectory planning quantity is a long-duration segmented slope trajectory, which divides the transition duration into three segments: acceleration segment, constant speed segment, and deceleration segment, with the slope of each segment changing linearly and gradually. Based on the transition trajectory planning quantity, dimming commands are issued moment by moment between the steady-state dimming command of the previous show and the dimming command of the subsequent show.

6. The landscape lighting multi-scene adaptive dimming control system according to claim 1, characterized in that: In the tomographic identification module, the actual light output feedback of the luminaire refers to the actual output luminous flux of the luminaire. Viewing-side visual response sampling brightness refers to the apparent brightness of the facade collected by visual response monitoring equipment mounted facing the illuminated facade; The visual response deviation is obtained by combining the standardized results of the actual light output feedback from the luminaire with the sampled brightness of the visual response from the viewing side.

7. A landscape lighting multi-scene adaptive dimming control system according to claim 6, characterized in that: In the tomography module, when the visual response deviation is greater than the visual tomography threshold, visual tomography is marked at the corresponding time. Conversely, no mark is made for the corresponding time. Slide a time window with a preset time window length on the transition time axis, and use the ratio of the number of visual tomographic markers to the window length as the marker density: When the marker density is greater than or equal to the preset marker density threshold, the time period corresponding to the time window is determined as a visual tomography risk zone. Conversely, time periods are not classified as visual tomography risk zones.

8. A landscape lighting multi-scene adaptive dimming control system according to claim 1, characterized in that: In the trajectory callback module, for visual tomographic risk segments, the instruction slope sequence corresponding to the transition trajectory planning quantity is extracted, and the slope callback is executed to obtain the instruction slope of the transition trajectory planning quantity before the callback. Based on the planned amount of the transition trajectory after the pullback, the dimming command is reissued within the visual fault risk zone. The actual light output feedback from the luminaires and the sampled brightness of the visual response on the viewing side are collected, and the visual response deviation in the visual tomography risk zone is recalculated. When the maximum value of the visual response deviation is less than or equal to the visual tomography threshold, all visual tomography markers in the visual tomography risk zone are removed. Conversely, visual tomographic markers within the visual tomographic risk zone are preserved.

9. A landscape lighting multi-scene adaptive dimming control system according to claim 8, characterized in that: In the trajectory callback module, the slope callback is executed again based on the transition trajectory planning quantity after the callback, and the transition output is re-executed. The final transition trajectory planning quantity after the callback is completed will be archived to the program transition benchmark library according to the program number of this switch, and updated to the correction benchmark when the next switch from the same previous program to the same subsequent program is initiated.

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