Intelligent solar signboard self-adaptive control method and system based on environment perception

Abstract

The invention is suitable for the technical field of signboard control, and provides an intelligent solar signboard self-adaptive control method and system based on environmental perception. The environment parameters comprise environment illuminance, environment light color temperature, background area brightness of the signboard, real-time energy state information of the solar power supply system and future weather forecast information; generating an energy scaling factor based on the real-time energy state information and future weather forecast information; based on the ambient light illuminance, the ambient light color temperature and the background area brightness, calculating to obtain visual equivalent brightness meeting the visibility requirement under the current environment condition; and fusing the visual equivalent brightness with the energy scaling factor, and determining a control brightness value of light emission of the signboard in combination with a time smoothing algorithm. By integrating sensing of multiple parameters such as illuminance, color temperature and background brightness, environment state description which is more comprehensive than that of a traditional scheme is obtained, and the control effect is better.

Description

Technical Field

[0001] This invention relates to the field of signage control technology, specifically to an adaptive control method and system for intelligent solar-powered signs based on environmental perception. Background Technology

[0002] Traditional control methods for solar-powered signs primarily rely on simple on / off or linear dimming control based on single ambient light illuminance detection. This approach suffers from fundamental architectural flaws: traditional solutions use only photoresistors or illuminance sensors to detect ambient brightness, with control logic based on simple threshold judgments (e.g., turning on at night, turning off during the day) or linear mapping (brightness inversely proportional to ambient illuminance). This single-dimensional perception cannot handle complex optical environments. For example, it cannot distinguish the impact of different color temperatures of ambient light on human perception under the same illuminance, such as the different visual requirements under midday white light and evening warm light; it cannot perceive dynamic changes in the sign's background brightness, such as tree shadows and building reflections directly affecting visibility; and it uses a fixed brightness mode in low-brightness environments, resulting in wasted power, especially during cloudy or rainy weather when solar power is limited, potentially depleting the battery prematurely. Therefore, a smart adaptive control method and system for solar-powered signs based on environmental perception is needed to address these problems. Summary of the Invention

[0003] In view of the shortcomings of the existing technology, the purpose of this invention is to provide an adaptive control method and system for intelligent solar signage based on environmental perception, so as to solve the problems existing in the above-mentioned background technology.

[0004] This invention is implemented as follows: an adaptive control method for intelligent solar-powered signage based on environmental perception, the method comprising the following steps: Collect environmental parameters, including ambient illuminance, ambient light color temperature, brightness of the background area of ​​the signboard, real-time energy status information of the solar power supply system, and future weather forecast information. Based on the real-time energy status information and future weather forecast information, the energy sufficiency is determined, and a dynamic energy scaling factor is generated. Based on the ambient illuminance, ambient color temperature and background area brightness, the visual equivalent brightness that meets the visibility requirements under the current environmental conditions is calculated. By fusing visual equivalent brightness with energy scaling factor and combining it with time smoothing algorithm, the control brightness value of signage illumination is determined. The brightness adjustment coefficient is determined based on the display information category of each luminous area in the sign, and the final brightness value of each luminous area is determined in combination with the control brightness value.

[0005] As a further aspect of the present invention, the step of collecting environmental parameters specifically includes: The ambient light level of the area where the sign is located is measured using a light sensor; The ambient light color temperature is calculated by measuring the spectral information of ambient light using a color sensor. The brightness information of the background area of ​​the sign is obtained by using an image acquisition camera facing the back of the sign, and the brightness of the background area is obtained by averaging the brightness. The current and voltage monitoring circuit collects the output power of the solar panel and the remaining power of the battery in real time, calculates the net energy change trend per unit time, and determines the real-time energy status information.

[0006] As a further aspect of the present invention, the step of determining the energy adequacy and generating a dynamic energy scaling factor specifically includes: The current energy status level is determined based on the net energy change trend and the remaining battery charge in the real-time energy status information. Based on future weather forecasts, the available energy for future charging is predicted, and a dynamic energy scaling factor is generated by mapping the energy state level. The energy scaling factor ranges from 0.5 to 1.5.

[0007] As a further aspect of the present invention, the step of calculating the visually equivalent brightness that meets the visibility requirements under the current environmental conditions specifically includes: The basic brightness requirement is calculated based on the formula Lbase=K1×lg(Eenv+1)+K2, where Eenv is the ambient illuminance and K1 and K2 are fixed parameters. The background brightness compensation term is calculated using the formula Lcomp=K3×(Bbg^0.5), where Bbg is the brightness of the background area and K3 is the compensation coefficient. Based on the ambient light color temperature, the corresponding color temperature correction coefficient Fc is obtained by querying the preset color temperature correction coefficient table. By combining the basic brightness requirement, background brightness compensation term, and color temperature correction coefficient, we obtain the visual equivalent brightness Lv=(Lbase+Lcomp)×Fc.

[0008] As a further aspect of the present invention, the step of determining the control brightness value of the sign's illumination specifically includes: Multiply the visual equivalent brightness Lv by the dynamic energy scaling factor Se to obtain the preliminary target brightness Lb; The initial target brightness Lb is processed by a time-smoothing filtering algorithm to obtain a smooth final control brightness value Lf. The filtering algorithm is used to ensure that the rate of change of the final control brightness value between adjacent control cycles does not exceed a preset maximum change threshold.

[0009] As a further aspect of the present invention, the display information categories of the light-emitting area include safety warnings, instruction guidance, and publicity information, and each display information category corresponds to a brightness adjustment coefficient.

[0010] Another object of the present invention is to provide an adaptive control system for intelligent solar-powered signage based on environmental perception, the system comprising: An environmental parameter acquisition module is used to collect environmental parameters, including ambient light intensity, ambient light color temperature, brightness of the background area of ​​the signboard, real-time energy status information of the solar power supply system, and future weather forecast information. The energy scaling factor module is used to determine the energy sufficiency based on the real-time energy state information and future weather forecast information, and generate a dynamic energy scaling factor. The visual equivalent brightness module is used to calculate the visual equivalent brightness that meets the visibility requirements under the current environmental conditions based on the ambient light illuminance, ambient light color temperature and background area brightness. The brightness control module is used to fuse visual equivalent brightness with energy scaling factor and combine it with time smoothing algorithm to determine the control brightness value of sign light emission; The final brightness value module is used to determine the brightness adjustment coefficient based on the display information category of each luminous area in the sign, and to determine the final brightness value of each luminous area in combination with the control brightness value.

[0011] As a further aspect of the present invention, the energy scaling factor module includes: The energy status level unit is used to determine the current energy status level based on the net energy change trend and the remaining battery charge in the real-time energy status information. The scaling factor determination unit is used to predict future rechargeable energy based on future weather forecast information and generate a dynamic energy scaling factor by combining energy state level mapping. The energy scaling factor ranges from 0.5 to 1.5.

[0012] As a further aspect of the present invention, the visual equivalent brightness module includes: The basic luminance requirement unit is used to calculate the basic luminance requirement based on the formula Lbase=K1×lg(Eenv+1)+K2, where Eenv is the ambient illuminance and K1 and K2 are fixed parameters. The background brightness compensation unit is used to calculate the background brightness compensation term according to the formula Lcomp=K3×(Bbg^0.5), where Bbg is the brightness of the background area and K3 is the compensation coefficient. The color temperature correction coefficient unit is used to look up a preset color temperature correction coefficient table based on the ambient light color temperature to obtain the corresponding color temperature correction coefficient Fc. The equivalent brightness determination unit is used to combine the basic brightness requirement, background brightness compensation term and color temperature correction coefficient to obtain the visual equivalent brightness Lv=(Lbase+Lcomp)×Fc.

[0013] As a further embodiment of the present invention, the brightness value control module includes: The preliminary target brightness unit is used to multiply the visual equivalent brightness Lv by the dynamic energy scaling factor Se to obtain the preliminary target brightness Lb; The brightness control unit is used to process the initial target brightness Lb using a time smoothing filtering algorithm to obtain a smooth transition final control brightness value Lf. The filtering algorithm is used to ensure that the rate of change of the final control brightness value between adjacent control cycles does not exceed a preset maximum change threshold.

[0014] Compared with the prior art, the beneficial effects of the present invention are: This invention integrates the sensing of multiple parameters such as illuminance, color temperature, and background brightness to obtain a more comprehensive description of the environmental state than traditional solutions. It can distinguish between physically identical but visually perceptible environmental scenes (such as warm and cool light environments with equal illuminance), automatically increasing brightness to maintain sufficient contrast against bright backgrounds and appropriately reducing brightness to ensure clarity against dark backgrounds. Furthermore, it dynamically adjusts and controls brightness based on energy availability, achieving a dynamic balance between energy supply and consumption. Attached Figure Description

[0015] Figure 1 This is a flowchart of an adaptive control method for intelligent solar-powered signage based on environmental perception.

[0016] Figure 2 This is a flowchart illustrating the process of collecting environmental parameters in an adaptive control method for intelligent solar-powered signage based on environmental perception.

[0017] Figure 3 This is a flowchart illustrating the generation of the energy scaling factor in an adaptive control method for intelligent solar signage based on environmental perception.

[0018] Figure 4 This is a flowchart illustrating the calculation of visual equivalent brightness in an adaptive control method for intelligent solar-powered signs based on environmental perception.

[0019] Figure 5 This is a flowchart illustrating the process of determining the control brightness value in an adaptive control method for intelligent solar-powered signs based on environmental perception.

[0020] Figure 6 This is a schematic diagram of the adaptive control system for intelligent solar-powered signage based on environmental perception. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0022] The specific implementation of the present invention will be described in detail below with reference to specific embodiments.

[0023] like Figure 1 As shown in the figure, this invention provides an adaptive control method for intelligent solar signage based on environmental perception. The method includes the following steps: S100, collect environmental parameters, including ambient illuminance, ambient light color temperature, brightness of the background area of ​​the signboard, real-time energy status information of the solar power supply system, and future weather forecast information. S200, based on the real-time energy state information and future weather forecast information, determine the energy sufficiency and generate a dynamic energy scaling factor; S300, based on the ambient light illuminance, ambient light color temperature and background area brightness, calculate the visual equivalent brightness that meets the visibility requirements under the current environmental conditions; S400 integrates visual equivalent brightness with energy scaling factor and combines it with time smoothing algorithm to determine the control brightness value of signage illumination; S500 determines the brightness adjustment coefficient based on the display information category of each luminous area in the sign, and determines the final brightness value of each luminous area in combination with the control brightness value.

[0024] In this embodiment of the invention, a sensor array needs to be installed on the sign to collect ambient illuminance, ambient light color temperature, and the brightness of the background area of ​​the sign. A current and voltage monitoring circuit determines the real-time energy status information of the solar power system. This intelligent solar sign can communicate with a server, sending the collected environmental parameters to the server for processing. Additionally, the server can obtain the latest future weather forecast information, which can be a 24-hour forecast. Then, based on the real-time energy status information and the future weather forecast information, the energy adequacy is determined, and a dynamic energy scaling factor is generated. It is easy to understand that the better the energy status and the better the future weather, the higher the energy adequacy and the higher the energy scaling factor. Next, based on the ambient illuminance, ambient light color temperature, and background area brightness, the theoretical brightness value that meets the visibility requirements under the current environmental conditions, i.e., the visual equivalent brightness, is calculated. By fusing the visual equivalent brightness with the energy scaling factor, the control brightness value for the sign's illumination can be determined. Finally, the brightness adjustment coefficient is determined based on the display information category of each luminous area in the sign. These categories include safety warnings, directional instructions, and informational displays. Each category has a corresponding brightness adjustment coefficient. For example, safety warnings include signs such as "Danger," "Stop," and "Fire Exit," which have a higher brightness adjustment coefficient, such as 1.2; directional instructions include signs such as "Exit," "Directional Arrows," and "No Parking," which have a medium brightness adjustment coefficient, such as 1.0; and informational displays include company names, building directories, and public service advertisements, which have a lower brightness adjustment coefficient, such as 0.7. Multiplying the brightness adjustment coefficient by the control brightness value determines the final brightness value of each luminous area.

[0025] like Figure 2 As shown in the preferred embodiment of the present invention, the step of collecting environmental parameters specifically includes: S101, measures the ambient light intensity of the area where the sign is located using a light sensor; S102 measures the spectral information of ambient light using a color sensor and calculates the ambient light color temperature based on the spectral information; S103: The brightness information of the background area of ​​the sign is obtained by the image acquisition camera facing the back of the sign, and the brightness is averaged to obtain the brightness of the background area. S104, through the current and voltage monitoring circuit, collects the output power of the solar panel and the remaining power of the battery in real time, calculates the net energy change trend per unit time, and determines the real-time energy status information.

[0026] In this embodiment of the invention, the installed sensor array includes a light sensor, a color sensor, and an image acquisition camera. The light sensor measures the overall ambient illuminance of the area where the sign is located. The color sensor measures the spectral information of the ambient light, analyzes the spectral data to obtain its relative power distribution curve, and determines the ambient light color temperature by comparing this curve with the blackbody radiation curve and referring to a standard color temperature table. The image acquisition camera, facing behind the sign, acquires the brightness information of the background area of ​​the sign. This brightness information is processed to obtain the average background brightness, which is the brightness of the background area. Additionally, a current and voltage monitoring circuit collects the output power of the solar panel and the remaining battery power in real time, calculates the net energy change trend per unit time, and calculates the net energy change trend as (charging energy per unit time - energy consumed per unit time) / unit time, summarizing the results to obtain real-time energy status information.

[0027] like Figure 3 As shown, in a preferred embodiment of the present invention, the step of determining the energy adequacy and generating a dynamic energy scaling factor specifically includes: S201, determine the current energy status level based on the net energy change trend and remaining battery charge in the real-time energy status information; S202 predicts future rechargeable energy based on future weather forecasts and generates a dynamic energy scaling factor by mapping energy state levels. The energy scaling factor ranges from 0.5 to 1.5.

[0028] In this embodiment of the invention, the energy state levels include Ample, Balanced, Tight, and Severe. Ample: High energy level and trending towards rapid charging; Balanced: Moderate energy level and basically balanced; Tight: Low energy level or trending towards continuous discharge; Severe: Very low energy level and continuous discharge. A detailed 24-hour weather forecast is obtained, focusing on key factors affecting power generation—solar intensity, cloud cover, and precipitation probability. Historical experience is used to predict a range or level of future rechargeable energy, such as Ample, Moderate, or Insufficient. If the current state is "Tight" and future charging is predicted to be "Insufficient," the factor is set to 0.6 or lower. If the current state is "Balanced" but future charging is predicted to be "Ample," the factor is set to 1.1. If the current state is "Ample" and future charging is also predicted to be "Ample," the factor is set to 1.3 or higher. The mapping relationship for the energy scaling factor needs to be determined in advance.

[0029] like Figure 4 As shown, in a preferred embodiment of the present invention, the step of calculating the visual equivalent brightness that meets the visibility requirements under the current environmental conditions specifically includes: S301, the basic brightness requirement is calculated based on the formula Lbase=K1×lg(Eenv+1)+K2, where Eenv is the ambient illuminance and K1 and K2 are fixed parameters; S302, calculate the background brightness compensation term according to the formula Lcomp=K3×(Bbg^0.5), where Bbg is the brightness of the background area and K3 is the compensation coefficient; S303, Based on the ambient light color temperature, query the preset color temperature correction coefficient table to obtain the corresponding color temperature correction coefficient Fc; S304, combine the basic brightness requirement, background brightness compensation item and color temperature correction coefficient to obtain the visual equivalent brightness Lv=(Lbase+Lcomp)×Fc.

[0030] In this embodiment of the invention, the basic brightness requirement Lbase = K1 × lg(Eenv+1) + K2 simulates the nonlinear characteristics of the human eye's perception of changes in light intensity (i.e., the core idea of ​​the Weber-Fechner law): in a dark environment, a slight increase in brightness is very noticeable to the human eye; while in an already bright environment, a significant increase in brightness is required for the human eye to perceive the change. Constants K1 and K2 are used to calibrate and adjust the shape of this logarithmic curve to better reflect actual visual response. The background brightness compensation term Lcomp = K3 × (Bbg^0.5) uses a square root function, reflecting that the impact of background brightness on the required brightness of the sign is marginally decreasing: when the background is dark, the sign does not need to be very bright to create good contrast; however, when the background itself is bright (e.g., a white wall in sunlight), the sign needs to significantly increase its brightness (but not linearly) to stand out and ensure readability. The coefficient K3 is used to control the intensity of this compensation. Light of different color temperatures, even with the same physical brightness, may appear brighter to the human eye in different ways (for example, cool white light may appear brighter than warm yellow light for the same lumen value). The system queries a preset color temperature correction coefficient table to directly obtain the corresponding correction coefficient Fc based on the current ambient light color temperature. This coefficient is a value less than, equal to, or slightly greater than 1, used to fine-tune the calculated physical brightness requirement to better match the subjective brightness perception of the human eye. Finally, by combining the basic brightness requirement, background brightness compensation, and color temperature correction coefficient, the visually equivalent brightness can be obtained.

[0031] like Figure 5 As shown in the preferred embodiment of the present invention, the step of determining the control brightness value of the sign's illumination specifically includes: S401, multiply the visual equivalent brightness Lv by the dynamic energy scaling factor Se to obtain the preliminary target brightness Lb; S402, the initial target brightness Lb is processed using a time smoothing filtering algorithm to obtain the final control brightness value Lf with a smooth transition.

[0032] In this embodiment of the invention, the initial target brightness Lb = Lv × Se is used, and a time smoothing filtering algorithm is applied to process the initial target brightness Lb to obtain a smooth transition final control brightness value Lf. The filtering algorithm is used to ensure that the rate of change of the final control brightness value between adjacent control cycles does not exceed a preset maximum change threshold.

[0033] like Figure 6 As shown, this embodiment of the invention also provides an adaptive control system for intelligent solar-powered signage based on environmental perception, the system comprising: The environmental parameter acquisition module 100 is used to collect environmental parameters, including ambient light illuminance, ambient light color temperature, brightness of the background area of ​​the signboard, real-time energy status information of the solar power supply system, and future weather forecast information. The energy scaling factor module 200 is used to determine the energy sufficiency based on the real-time energy state information and future weather forecast information, and generate a dynamic energy scaling factor. The visual equivalent brightness module 300 is used to calculate the visual equivalent brightness that meets the visibility requirements under the current environmental conditions based on the ambient light illuminance, ambient light color temperature and background area brightness. The brightness control module 400 is used to fuse the visual equivalent brightness with the energy scaling factor and combine it with a time smoothing algorithm to determine the control brightness value of the sign's illumination. The final brightness value module 500 is used to determine the brightness adjustment coefficient based on the display information category of each luminous area in the sign, and to determine the final brightness value of each luminous area in combination with the control brightness value.

[0034] In a preferred embodiment of the present invention, the energy scaling factor module 200 includes: The energy status level unit is used to determine the current energy status level based on the net energy change trend and the remaining battery charge in the real-time energy status information. The scaling factor determination unit is used to predict future rechargeable energy based on future weather forecast information and generate a dynamic energy scaling factor by combining energy state level mapping. The energy scaling factor ranges from 0.5 to 1.5.

[0035] In a preferred embodiment of the present invention, the visual equivalent brightness module 300 includes: The basic luminance requirement unit is used to calculate the basic luminance requirement based on the formula Lbase=K1×lg(Eenv+1)+K2, where Eenv is the ambient illuminance and K1 and K2 are fixed parameters. The background brightness compensation unit is used to calculate the background brightness compensation term according to the formula Lcomp=K3×(Bbg^0.5), where Bbg is the brightness of the background area and K3 is the compensation coefficient. The color temperature correction coefficient unit is used to look up a preset color temperature correction coefficient table based on the ambient light color temperature to obtain the corresponding color temperature correction coefficient Fc. The equivalent brightness determination unit is used to combine the basic brightness requirement, background brightness compensation term and color temperature correction coefficient to obtain the visual equivalent brightness Lv=(Lbase+Lcomp)×Fc.

[0036] In a preferred embodiment of the present invention, the brightness value control module 400 includes: The preliminary target brightness unit is used to multiply the visual equivalent brightness Lv by the dynamic energy scaling factor Se to obtain the preliminary target brightness Lb; The brightness control unit is used to process the initial target brightness Lb using a time smoothing filtering algorithm to obtain a smooth transition final control brightness value Lf. The filtering algorithm is used to ensure that the rate of change of the final control brightness value between adjacent control cycles does not exceed a preset maximum change threshold.

[0037] The above description only details the preferred embodiments of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

[0038] It should be understood that although the steps in the flowcharts of the various embodiments of the present invention are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the various embodiments may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least a portion of the sub-steps or stages of other steps.

[0039] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the disclosure in the specification and embodiments. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and embodiments are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the claims.

Claims

1. An adaptive control method for intelligent solar-powered signage based on environmental perception, characterized in that, The method includes the following steps: Collect environmental parameters, including ambient illuminance, ambient light color temperature, brightness of the background area of ​​the signboard, real-time energy status information of the solar power supply system, and future weather forecast information. Based on the real-time energy status information and future weather forecast information, the energy sufficiency is determined, and a dynamic energy scaling factor is generated. Based on the ambient illuminance, ambient color temperature and background area brightness, the visual equivalent brightness that meets the visibility requirements under the current environmental conditions is calculated. By fusing visual equivalent brightness with energy scaling factor and combining it with time smoothing algorithm, the control brightness value of signage illumination is determined. The brightness adjustment coefficient is determined based on the display information category of each luminous area in the sign, and the final brightness value of each luminous area is determined in combination with the control brightness value.

2. The adaptive control method for intelligent solar signage based on environmental perception according to claim 1, characterized in that, The steps for collecting environmental parameters specifically include: The ambient light level of the area where the sign is located is measured using a light sensor; The ambient light color temperature is calculated by measuring the spectral information of ambient light using a color sensor. The brightness information of the background area of ​​the sign is obtained by using an image acquisition camera facing the back of the sign, and the brightness of the background area is obtained by averaging the brightness. The current and voltage monitoring circuit collects the output power of the solar panel and the remaining power of the battery in real time, calculates the net energy change trend per unit time, and determines the real-time energy status information.

3. The adaptive control method for intelligent solar-powered signage based on environmental perception according to claim 1, characterized in that, The steps for determining energy adequacy and generating a dynamic energy scaling factor specifically include: The current energy status level is determined based on the net energy change trend and the remaining battery charge in the real-time energy status information. Based on future weather forecasts, the available energy for future charging is predicted, and a dynamic energy scaling factor is generated by mapping the energy state level. The energy scaling factor ranges from 0.5 to 1.

5.

4. The adaptive control method for intelligent solar signage based on environmental perception according to claim 1, characterized in that, The steps for calculating the visually equivalent luminance that meets visibility requirements under current environmental conditions include: The basic brightness requirement is calculated based on the formula Lbase=K1×lg(Eenv+1)+K2, where Eenv is the ambient illuminance and K1 and K2 are fixed parameters. The background brightness compensation term is calculated using the formula Lcomp=K3×(Bbg^0.5), where Bbg is the brightness of the background area and K3 is the compensation coefficient. Based on the ambient light color temperature, the corresponding color temperature correction coefficient Fc is obtained by querying the preset color temperature correction coefficient table. By combining the basic brightness requirement, background brightness compensation term, and color temperature correction coefficient, we obtain the visual equivalent brightness Lv=(Lbase+Lcomp)×Fc.

5. The adaptive control method for intelligent solar signage based on environmental perception according to claim 1, characterized in that, The step of determining the control brightness value of the sign's illumination specifically includes: Multiply the visual equivalent brightness Lv by the dynamic energy scaling factor Se to obtain the preliminary target brightness Lb; The initial target brightness Lb is processed by a time-smoothing filtering algorithm to obtain a smooth final control brightness value Lf. The filtering algorithm is used to ensure that the rate of change of the final control brightness value between adjacent control cycles does not exceed a preset maximum change threshold.

6. The adaptive control method for intelligent solar-powered signage based on environmental perception according to claim 1, characterized in that, The display information categories in the luminous area include safety warnings, instruction guidance, and publicity information, and each display information category corresponds to a brightness adjustment coefficient.

7. An adaptive control system for intelligent solar-powered signage based on environmental perception, characterized in that, The system includes: An environmental parameter acquisition module is used to collect environmental parameters, including ambient light intensity, ambient light color temperature, brightness of the background area of ​​the signboard, real-time energy status information of the solar power supply system, and future weather forecast information. The energy scaling factor module is used to determine the energy sufficiency based on the real-time energy state information and future weather forecast information, and generate a dynamic energy scaling factor. The visual equivalent brightness module is used to calculate the visual equivalent brightness that meets the visibility requirements under the current environmental conditions based on the ambient light illuminance, ambient light color temperature and background area brightness. The brightness control module is used to fuse visual equivalent brightness with energy scaling factor and combine it with time smoothing algorithm to determine the control brightness value of sign light emission; The final brightness value module is used to determine the brightness adjustment coefficient based on the display information category of each luminous area in the sign, and to determine the final brightness value of each luminous area in combination with the control brightness value.

8. The adaptive control system for intelligent solar-powered signage based on environmental perception according to claim 7, characterized in that, The energy scaling factor module includes: The energy status level unit is used to determine the current energy status level based on the net energy change trend and the remaining battery charge in the real-time energy status information. The scaling factor determination unit is used to predict future rechargeable energy based on future weather forecast information and generate a dynamic energy scaling factor by combining energy state level mapping. The energy scaling factor ranges from 0.5 to 1.

5.

9. The adaptive control system for intelligent solar-powered signage based on environmental perception according to claim 7, characterized in that, The visual equivalent brightness module includes: The basic luminance requirement unit is used to calculate the basic luminance requirement based on the formula Lbase=K1×lg(Eenv+1)+K2, where Eenv is the ambient illuminance and K1 and K2 are fixed parameters. The background brightness compensation unit is used to calculate the background brightness compensation term according to the formula Lcomp=K3×(Bbg^0.5), where Bbg is the brightness of the background area and K3 is the compensation coefficient. The color temperature correction coefficient unit is used to look up a preset color temperature correction coefficient table based on the ambient light color temperature to obtain the corresponding color temperature correction coefficient Fc. The equivalent brightness determination unit is used to combine the basic brightness requirement, background brightness compensation term and color temperature correction coefficient to obtain the visual equivalent brightness Lv=(Lbase+Lcomp)×Fc.

10. The adaptive control system for intelligent solar-powered signage based on environmental perception according to claim 7, characterized in that, The brightness control module includes: The preliminary target brightness unit is used to multiply the visual equivalent brightness Lv by the dynamic energy scaling factor Se to obtain the preliminary target brightness Lb; The brightness control unit is used to process the initial target brightness Lb using a time smoothing filtering algorithm to obtain a smooth transition final control brightness value Lf. The filtering algorithm is used to ensure that the rate of change of the final control brightness value between adjacent control cycles does not exceed a preset maximum change threshold.

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