An intelligent LED lamp bead dimming system

Abstract

The present invention relates to the field of intelligent lighting control technology, specifically to an intelligent LED lamp bead dimming system, the system includes a light intensity analysis module, an activity mode response module, an LED dimming control module, and a lighting effect evaluation module. In the present invention, by real-time monitoring of indoor light intensity and personnel activities, and integrating information to formulate lighting adjustment instructions, the adaptability and efficiency of the lighting system are improved, and by comprehensive analysis of real-time environmental data and personnel distribution, the lighting adjustment is made more accurate. The dynamic adjustment mechanism not only predicts lighting needs based on real-time data, but also refers to future change trends to reduce energy waste and improve user comfort. If the system detects that no one is active in a certain area for a long time, the lighting intensity of the area is automatically reduced, thereby saving energy. By comparing the real-time lighting effect with the optimal light source output ratio, the lighting response strategy is adjusted to keep the light source configuration in the best state at all times, ensuring that the lighting efficiency is maximized, and further reducing energy consumption.

Description

Technical Field

[0001] The present invention relates to the field of intelligent lighting control technology, and in particular to an intelligent LED lamp bead dimming system. Background Art

[0002] The field of smart lighting control technology involves the use of electronic and computing technologies to automatically adjust and manage lighting systems. The technology combines sensor technology, such as light and motion sensors, to automatically detect environmental conditions and human activities and adjust the brightness and color temperature of lights accordingly. Smart lighting systems are integrated with home automation systems, allowing users to remotely control lighting settings through smartphone applications, voice assistants or interfaces. This technology not only improves energy efficiency and reduces unnecessary energy consumption, but also enhances user comfort and safety. Smart lighting control technology is widely used in residential, commercial and public lighting fields due to its potential in energy saving and providing customized lighting solutions.

[0003] Among them, the smart LED lamp bead dimming system is a lighting device that integrates intelligent control technology. It is mainly used to adjust the brightness of the lamp beads to adapt to different lighting needs. This system can automatically adjust the brightness of indoor lighting according to changes in natural light, or personalize it according to user activities and preferences. The main uses include improving the lighting quality of living and working spaces, reducing energy consumption, and increasing comfort and productivity by creating a suitable light environment. The smart LED lamp bead dimming system is equipped with a user-friendly interface and supports operation through mobile devices or voice commands, allowing users to easily adjust lighting conditions.

[0004] Existing smart LED lamp dimming systems provide sensor-based light adjustment and remote control functions, but they are still insufficient in dealing with complex environmental changes and personalized needs. Traditional systems cannot accurately distinguish the types of activities in the room, such as meetings and rest, and thus cannot provide the most suitable lighting conditions. The system lacks sufficient data analysis capabilities to predict future lighting needs, resulting in delayed response and inability to adapt to emergencies in real time, such as temporarily added meetings or activities. This deficiency limits the energy efficiency and user experience of the lighting system, and fails to fully utilize the potential of modern sensors and data analysis technologies. In commercial or public environments, this leads to energy waste and user dissatisfaction because the lighting system cannot respond to changes in actual needs in a timely manner. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an intelligent LED lamp bead dimming system.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: an intelligent LED lamp bead dimming system comprises:

[0007] The light intensity analysis module monitors the indoor light intensity and personnel activities in real time, integrates the current light intensity and room occupancy status, obtains the environmental status index, calculates the spatial dynamics of light and personnel distribution based on the environmental status index, and generates spatial dynamic information;

[0008] The activity mode response module uses the spatial dynamic information to determine the changing trend of lighting demand, calculates the required light intensity and color temperature changes, generates lighting adjustment instructions, and optimizes and adjusts the lighting adjustment instructions according to the lighting adjustment instructions and the nature of the venue activities to form adjusted lighting parameters;

[0009] The LED dimming control module adjusts the brightness and color temperature of the LED lamp beads according to the adjusted lighting parameters, performs brightness and color temperature control, obtains a preliminary lighting output, and fine-tunes the preliminary lighting output to obtain an optimal light source output ratio;

[0010] The lighting effect evaluation module compares the optimal light source output ratio with the real-time lighting effect, analyzes the lighting adaptability and efficiency, obtains the lighting effect analysis result, adjusts the lighting response strategy and lighting output parameters according to the lighting effect analysis result, optimizes the overall response and performance of LED lamp bead dimming, and generates the LED lamp bead lighting dimming status update result.

[0011] As a further solution of the present invention, the step of obtaining the environmental status indicator is specifically as follows:

[0012] By real-time monitoring of indoor light intensity and personnel activities, combined with time and space location, using light sensor data, through the formula:

[0013]

[0014] Get the initial environment data, where Represents the indoor light intensity, Represents the room occupancy status, represents the collection time, and are the maximum values ​​of time and space respectively, is the adjustment factor, is the initial environment data, Indicates the sensor location;

[0015] The initial environmental data is processed by using a weighted moving average method, through the formula:

[0016]

[0017] Generate weighted environmental data, where Represent the environmental data at adjacent time points, and is the time series weight coefficient, is weighted environmental data;

[0018] Integrating the weighted environmental data and the occupancy status of people in the room, apply the formula:

[0019]

[0020] Get the environmental status index, where represents weighted environmental data, Represents the occupancy status, is the adjustment factor, An indicator of environmental status.

[0021] As a further solution of the present invention, the step of acquiring the spatial dynamic information is specifically as follows:

[0022] Based on the environmental status indicators, according to the light intensity and room occupancy data, the environmental impact factors are integrated using the formula:

[0023]

[0024] Generate environmental impact data, where Representative The light intensity at the location, Representative The occupancy status of the location, is the weight factor, is the total number of reference spatial point positions, Indicates environmental impact data;

[0025] Based on the environmental impact data, the spatial dynamic change is calculated and the dynamic change function is defined using the formula:

[0026]

[0027] Generate a spatial variation index where is the number of measurement points in the time window, where Representative Environmental impact data at all times, Indicates Environmental impact data at all times, represents an indicator of spatial variation;

[0028] According to the spatial change index, a spatial dynamic map is calculated and drawn, using the normalization processing formula:

[0029]

[0030] Get spatial dynamic information, where Represents spatial dynamic information, Represents the spatial variation index.

[0031] As a further solution of the present invention, the step of obtaining the adjusted lighting parameters is specifically:

[0032] According to the spatial dynamic information, the changing trend of lighting demand is analyzed, and the formula is adopted:

[0033]

[0034] Calculate the required light intensity and generate the preset light demand, where: Represents spatial dynamic information, is the adjustment factor, Represents pre-adjusted lighting requirements;

[0035] According to the pre-adjusted lighting requirements, the color temperature change trend is determined, and the linear adjustment formula is used:

[0036]

[0037] Calculate the required color temperature and generate the pre-adjusted color temperature requirement, where: Indicates the adjusted color temperature. Adjust the color temperature parameters. is the minimum color temperature set, and Represent the current and maximum spatial dynamic information respectively;

[0038] Combined with the pre-adjusted lighting requirements and pre-adjusted color temperature requirements, the formula is:

[0039]

[0040] Generate lighting adjustment instructions, and optimize and adjust the lighting adjustment instructions based on the nature of the venue activities, using the formula:

[0041]

[0042] Get the adjusted lighting parameters, where For lighting adjustment instructions, To adjust the backlighting parameters, is a function that adjusts the lighting parameters according to the nature of the activity. Indicates the adjusted color temperature. Represents pre-adjusted lighting requirements.

[0043] As a further solution of the present invention, the step of obtaining the preliminary lighting output is specifically:

[0044] Receive data from the adjusted lighting parameters, including the set values ​​of brightness and color temperature, and adjust the brightness of the LED lamp beads according to the dynamic changes in lighting requirements using the formula:

[0045]

[0046] The LED brightness adjustment value is calculated, where: Represents the data received from the adjusted lighting parameters, is the brightness ratio adjusted according to the nature of the activity. Represents the brightness adjustment factor associated with the current activity type. is the LED brightness adjustment value;

[0047] Analyze the color temperature requirements in the LED brightness adjustment value and use the color temperature adjustment formula:

[0048]

[0049] Calculate and obtain the color temperature adjustment result, where: and are the maximum and minimum color temperature values, is the scaling factor for color temperature adjustment, Represents spatial dynamic information, is the color temperature adjustment result;

[0050] Combine the color temperature adjustment result with the LED brightness adjustment value to perform light adjustment using the formula:

[0051]

[0052] Get the preliminary lighting output, where is the preliminary lighting output, is the color temperature adjustment result, It is the LED brightness adjustment value.

[0053] As a further solution of the present invention, the step of obtaining the optimal light source output ratio is specifically:

[0054] Analyze the data received from the preliminary lighting output. The data includes two core indicators: brightness and color temperature. Using the brightness indicator, apply the formula:

[0055]

[0056] Calculate and obtain the brightness ratio of the matching environment, where: Represents the data received from the preliminary lighting output, represents the brightness requirement quantization coefficient, and Represent the coefficients of environmental compensation and occasion adjustment respectively, It is the brightness ratio that matches the environment;

[0057] The color temperature information in the brightness ratio of the matching environment is analyzed using the formula:

[0058]

[0059] Calculate and obtain the optimal color temperature ratio, where: and are the maximum and minimum color temperature limits, is the scaling factor for color temperature adjustment, is the response factor for color temperature adjustment, represents the environmental dynamics index, is the fixed color temperature adjustment increment, Represents the data received from the preliminary lighting output, Indicates the optimal color temperature ratio;

[0060] Combine the optimal color temperature ratio with the brightness ratio of the matching environment and use the formula:

[0061]

[0062] The optimal light source output ratio is obtained, where is the brightness ratio value that matches the environment. Indicates the optimal color temperature ratio, Indicates the optimal light source output ratio, is the normalization factor.

[0063] As a further solution of the present invention, the steps of obtaining the lighting effect analysis result are specifically as follows:

[0064] Based on the data in the optimal light source output ratio, the real-time lighting effect is obtained synchronously, and the difference between the two is calculated using the formula:

[0065]

[0066] Generate the difference between the light source output effect and the ideal value, where: Is the optimal light source output ratio, is the real-time lighting effect in the current environment. It is the difference between the light source output effect and the ideal value;

[0067] Using the difference between the light source output effect and the ideal value, an exponential response function is used to evaluate the adaptability of the lighting effect, and the formula is applied:

[0068]

[0069] Get the lighting adaptability index score, where: Is the difference between the light source output effect and the ideal value, represents the lighting adaptability index score;

[0070] Combining the lighting adaptability index score and the environmental efficiency assessment, the formula is used:

[0071]

[0072] A variation of the harmonic mean is used to balance the weights of adaptability and efficiency to obtain the lighting effect analysis results, where: represents the lighting adaptability index score, is an assessment of environmental efficiency, Analyze the results of lighting effects.

[0073] As a further solution of the present invention, the steps for obtaining the LED lamp bead lighting dimming state update result are specifically as follows:

[0074] Based on the illumination effect analysis results, a new brightness output target is determined, and a new target brightness is calculated using the formula:

[0075]

[0076] Get the adjusted brightness target, where is the lighting effect evaluation score, Represents the maximum brightness capability, is a newly introduced regulatory factor, is the adjusted brightness target;

[0077] Based on the adjusted brightness target, combined with ambient light feedback and user preference, a new color temperature output is calculated using the formula:

[0078]

[0079] The output value after color temperature adjustment is obtained, where represents ambient light feedback, Indicates the preferences set by the user. Used to adjust the adaptability of color temperature output, is the output value after color temperature adjustment, is the adjusted brightness target;

[0080] Combined with the color temperature adjusted output value and the adjusted brightness target, the dimming state of the LED lamp bead is updated using the formula:

[0081]

[0082] Generate LED lamp bead lighting dimming status update results, where is the adjusted brightness target, is the output value after color temperature adjustment, and It is the composite adjustment coefficient for adjusting color temperature and brightness. Indicates the LED lamp lighting dimming status update result.

[0083] Compared with the prior art, the advantages and positive effects of the present invention are:

[0084] In the present invention, by real-time monitoring of indoor light intensity and personnel activities, and integrating information to formulate lighting adjustment instructions, the adaptability and efficiency of the lighting system are significantly improved, and by comprehensive analysis of real-time environmental data and personnel distribution, the lighting adjustment is made more accurate. This dynamic adjustment mechanism not only predicts lighting needs based on real-time data, but also refers to future trends, thereby reducing energy waste and improving user comfort. For example, if the system detects that no one is active in a certain area for a long time, even during the day, the lighting intensity of the area can be automatically reduced to save energy. The system compares the real-time lighting effect with the optimal light source output ratio, adjusts the lighting response strategy, and keeps the light source configuration in the best state at all times, ensuring that the lighting efficiency is maximized, and further reducing energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0085] Figure 1 is a system flow chart of the present invention;

[0086] Figure 2 It is a flow chart of the environmental status indicator in the present invention;

[0087] Figure 3 It is a flow chart of spatial dynamic information in the present invention;

[0088] Figure 4 is a flow chart of adjusting the lighting parameters in the present invention;

[0089] Figure 5 A flowchart of the preliminary lighting output in the present invention;

[0090] Figure 6 This is a flow chart of the optimal light source output ratio in the present invention;

[0091] Figure 7 It is a flow chart of the lighting effect analysis results in the present invention;

[0092] Figure 8 This is a flow chart of the LED lamp bead lighting dimming status update result in the present invention. DETAILED DESCRIPTION

[0093] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0094] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0095] See also Figure 1 , an intelligent LED lamp bead dimming system includes:

[0096] The light intensity analysis module monitors the indoor light intensity and personnel activities in real time, integrates the current light intensity and room occupancy status, obtains the environmental status index, calculates the spatial dynamics of light and personnel distribution based on the environmental status index, and generates spatial dynamic information;

[0097] The activity mode response module uses spatial dynamic information to determine the changing trend of lighting demand, calculates the required light intensity and color temperature changes, generates lighting adjustment instructions, and optimizes and adjusts the lighting adjustment instructions based on the nature of the venue activities to form adjusted lighting parameters;

[0098] The LED dimming control module adjusts the brightness and color temperature of the LED lamp beads according to the adjusted lighting parameters, performs brightness and color temperature control, obtains preliminary lighting output, and fine-tunes the preliminary lighting output to obtain the optimal light source output ratio;

[0099] The lighting effect evaluation module compares the optimal light source output ratio with the real-time lighting effect, analyzes the lighting adaptability and efficiency, and obtains the lighting effect analysis results. According to the lighting effect analysis results, the lighting response strategy and lighting output parameters are adjusted to optimize the overall response and performance of LED lamp bead dimming, and generate LED lamp bead lighting dimming status update results.

[0100] Environmental status indicators include lighting level, occupancy frequency, and activity density. Spatial dynamic information includes activity hotspots, space utilization efficiency, and peak traffic periods. Lighting adjustment instructions include target brightness level, target color temperature value, and dimming time period. Adjusted lighting parameters include adjusted brightness setting, adjusted color temperature range, and scene application mode. Preliminary lighting output includes preliminary brightness output value, preliminary color temperature output value, and preliminary lighting quality assessment. The optimal light source output ratio includes brightness ratio, color temperature ratio, and output uniformity index. Lighting effect analysis results include efficiency improvement indicators, adaptability evaluation, and user satisfaction index. LED lamp bead lighting dimming status update results include performance improvement measures and user experience optimization.

[0101] See also Figure 2 , the specific steps for obtaining environmental status indicators are:

[0102] By real-time monitoring of indoor light intensity and personnel activities, combined with time and space location, using light sensor data, through the formula:

[0103]

[0104] Get the initial environment data, where Represents the indoor light intensity, Represents the room occupancy status, represents the collection time, and are the maximum values ​​of time and space respectively, is the adjustment factor, is the initial environment data, Indicates the sensor location;

[0105] The initial environmental data is processed using the weighted moving average method through the formula:

[0106]

[0107] Generate weighted environmental data, where Represent the environmental data at adjacent time points, and is the time series weight coefficient, is weighted environmental data;

[0108] Integrate weighted environmental data and occupancy status of people in the room and apply the formula:

[0109]

[0110] Get the environmental status index, where represents weighted environmental data, Represents the occupancy status, is the adjustment factor, An indicator of environmental status.

[0111] Initial environment data formula:

[0112]

[0113] : Indoor light intensity (unit: lux, ranging from 0 to 500 lux);

[0114] : Room occupancy status (occupied is 1, unoccupied is 0);

[0115] : Collection time (hours), for example 18:00;

[0116] : Maximum time of a day, 24 hours;

[0117] : sensor position (assuming position parameter is from 0 to 10);

[0118] : maximum position, 10;

[0119] : Adjustment coefficient to emphasize the impact of activity status, assumed to be 0.5;

[0120] Assume that at a certain moment, the indoor light intensity 250lux, room is occupied , collection time When the sensor is at 18 is 5, substitute the value into the formula to calculate :

[0121]

[0122] final , which is environmental data weighted by reference to light intensity, room occupancy status, time and location.

[0123] Weighted environmental data formula:

[0124]

[0125] : Environmental data at adjacent time points;

[0126] : Time series weight coefficient, assumed to be 1;

[0127] Assumptions ;

[0128] Substitute the value into the formula :

[0129]

[0130]

[0131] final , represents the environmental data after weighted average.

[0132] Environmental status indicator formula:

[0133]

[0134] : Weighted environmental data;

[0135] : Occupancy status;

[0136] : Adjustment factor, assumed to be 2;

[0137] Assuming the maximum The value is 200, which indicates the state of occupation. ,current ;

[0138] Substitute the value into the formula :

[0139]

[0140] final ,This value represents the environmental status index after normalization and adjustment factor processing, reflecting the comprehensive assessment of the environmental status.

[0141] See also Figure 3 , the specific steps for obtaining spatial dynamic information are:

[0142] Based on the environmental status indicators, according to the light intensity and room occupancy data, the environmental impact factors are integrated using the formula:

[0143]

[0144] Generate environmental impact data, where Representative The light intensity at the location, Representative The occupancy status of the location, is the weight factor, is the total number of reference spatial point positions, Indicates environmental impact data;

[0145] Based on the environmental impact data, calculate the spatial dynamic changes and define the dynamic change function using the formula:

[0146]

[0147] Generate a spatial variation index where is the number of measurement points in the time window, where Representative Environmental impact data at all times, Indicates Environmental impact data at all times, represents an indicator of spatial variation;

[0148] Calculate and draw spatial dynamic maps based on spatial change indicators, using the normalization processing formula:

[0149]

[0150] Get spatial dynamic information, where Represents spatial dynamic information, Represents the spatial variation index.

[0151] Environmental impact data formula:

[0152]

[0153] : No. The light intensity of the location (lux);

[0154] : No. The occupancy status of the position (0 unoccupied, 1 occupied);

[0155] : Weight factor, used to adjust the importance of the occupancy state on the environmental impact;

[0156] : The total number of reference space points;

[0157] Assume that a room has 3 sensors, the light intensity is 300, 250, 400 lux, and the occupancy status is 1, 0, 1. Set the weight factor ;

[0158] calculate :

[0159]

[0160] This calculation shows the average ambient impact weighted by occupancy status, where 317 lux is the average weighted ambient light intensity.

[0161] Spatial change index formula:

[0162]

[0163] : No. Environmental impact data at all times;

[0164] : The number of measurement points in the time window;

[0165] Assume that the measurement window has four time points, and the environmental impact data are 317, 330, 310, and 320 respectively;

[0166] calculate :

[0167]

[0168] This calculation shows that the total change in environmental state during these four time points is 43, reflecting the level of activity of environmental dynamics.

[0169] Spatial dynamic information formula:

[0170]

[0171] : Cumulative spatial change indicators;

[0172] Assuming the maximum change index is 50, currently ;

[0173] calculate :

[0174]

[0175] This value It is 0.86, indicating that the current spatial dynamic information accounts for 86% of the maximum dynamic information, which is used to reflect the activity intensity of the room.

[0176] See also Figure 4 , the steps to obtain the adjusted lighting parameters are as follows:

[0177] According to the spatial dynamic information, the changing trend of lighting demand is analyzed, and the formula is adopted:

[0178]

[0179] Calculate the required light intensity and generate the preset light demand, where: Represents spatial dynamic information, is the adjustment factor, Represents pre-adjusted lighting requirements;

[0180] According to the pre-adjusted lighting requirements, determine the color temperature change trend and use the linear adjustment formula:

[0181]

[0182] Calculate the required color temperature and generate the pre-adjusted color temperature requirement, where: Indicates the adjusted color temperature. Adjust the color temperature parameters. is the minimum color temperature set, and Represent the current and maximum spatial dynamic information respectively;

[0183] Combined with the pre-adjusted lighting requirements and pre-adjusted color temperature requirements, the formula is:

[0184]

[0185] Generate lighting adjustment instructions, and optimize and adjust the lighting adjustment instructions based on the nature of the venue activities, using the formula:

[0186]

[0187] Get the adjusted lighting parameters, where For lighting adjustment instructions, To adjust the backlighting parameters, is a function that adjusts the lighting parameters according to the nature of the activity. Indicates the adjusted color temperature. Represents pre-adjusted lighting requirements.

[0188] Pre-adjusted lighting demand formula:

[0189]

[0190] : Calculate the required light intensity;

[0191] : Adjustment factor used to scale the logarithmic result to fit the output range of the actual lighting device;

[0192] : Spatial dynamic information, indicating the degree of dynamic change of activities in the space;

[0193] Assumptions (normalized value of spatial dynamic information calculated previously), set the adjustment factor (suitable for mapping logarithmic changes to actual lighting adjustment range);

[0194] calculate :

[0195]

[0196] This result Represents the desired light intensity increment to accommodate the current spatial dynamics.

[0197] Adjusted color temperature formula:

[0198]

[0199] : Calculate the required color temperature;

[0200] : Color temperature adjustment range;

[0201] : Current spatial dynamic information;

[0202] : The maximum value of spatial dynamic information;

[0203] : The minimum color temperature set;

[0204] Assumptions , set the color temperature adjustment range (the difference from the warmest color temperature to the coldest color temperature), minimum color temperature ;

[0205] calculate :

[0206]

[0207] This result Indicates the color temperature that needs to be adjusted under the current dynamic situation.

[0208] Lighting adjustment instructions and formulas for adjusted lighting parameters:

[0209]

[0210] and

[0211]

[0212] : Initial lighting adjustment command;

[0213] : Adjusted lighting parameters;

[0214] : Activity nature adjustment function, further adjust the lighting according to the activity nature of the venue;

[0215] Assumed parameter values: and , assuming the venue activity is a dinner party, (Soft Lighting);

[0216] calculate :

[0217]

[0218] calculate :

[0219]

[0220] This result Represents the final lighting parameter setting value, adapting to the nature of the current venue's activities and achieving the desired lighting effect.

[0221] See also Figure 5 , the steps to obtain the preliminary lighting output are as follows:

[0222] Receive data from the adjusted lighting parameters, including the set values ​​of brightness and color temperature, and adjust the brightness of the LED lamp beads according to the dynamic changes in lighting requirements, using the formula:

[0223]

[0224] The LED brightness adjustment value is calculated, where: Represents the data received from the adjusted lighting parameters, is the brightness ratio adjusted according to the nature of the activity. Represents the brightness adjustment factor associated with the current activity type. is the LED brightness adjustment value;

[0225] Analyze the color temperature requirements in the LED brightness adjustment value and use the color temperature adjustment formula:

[0226]

[0227] Calculate and obtain the color temperature adjustment result, where: and are the maximum and minimum color temperature values, is the scaling factor for color temperature adjustment, Represents spatial dynamic information, is the color temperature adjustment result;

[0228] Combine the color temperature adjustment result with the LED brightness adjustment value to perform light adjustment using the formula:

[0229]

[0230] Get the preliminary lighting output, where is the preliminary lighting output, is the color temperature adjustment result, It is the LED brightness adjustment value.

[0231] LED brightness adjustment value formula:

[0232]

[0233] : Adjusted lighting parameters, including brightness and color temperature information;

[0234] : Brightness ratio adjusted according to the nature of the activity;

[0235] : Ambient brightness variation coefficient, which affects the sensitivity of brightness adjustment;

[0236] : Calculated LED brightness adjustment value;

[0237] Assumptions is the brightness value extracted from the adjusted lighting parameters, is the brightness ratio set for a dinner event. is the ambient brightness variation coefficient;

[0238] calculate :

[0239]

[0240] Final calculation results Indicates that the LED brightness should be adjusted to relative brightness level 3 to suit the current environment and type of activity.

[0241] Color temperature adjustment result formula:

[0242]

[0243] : Maximum and minimum color temperature values;

[0244] : Scaling factor for color temperature adjustment;

[0245] : spatial dynamic information;

[0246] : Color temperature adjustment result;

[0247] Assumptions ;

[0248] calculate :

[0249]

[0250] This result Indicates that the color temperature should be adjusted to 2700K, which is the softest color temperature setting and suitable for low-dynamic activity environments.

[0251] Preliminary lighting output formula:

[0252]

[0253] : The adjustment values ​​of brightness and color temperature are integrated by square sum method to obtain preliminary lighting output;

[0254] Assumptions: and ;

[0255] calculate :

[0256]

[0257] result This indicates that the preliminary lighting output after combined brightness and color temperature adjustments is 2697 units, reflecting that the output of the LED light should be adjusted to match the setting.

[0258] See also Figure 6 , the specific steps for obtaining the optimal light source output ratio are:

[0259] Analyze the data received from the preliminary lighting output. The data includes two core indicators: brightness and color temperature. Using the brightness indicator, apply the formula:

[0260]

[0261] Calculate and obtain the brightness ratio of the matching environment, where: Represents the data received from the preliminary lighting output, represents the brightness requirement quantization coefficient, and Represent the coefficients of environmental compensation and occasion adjustment respectively, It is the brightness ratio that matches the environment;

[0262] The color temperature information in the brightness ratio of the matching environment is analyzed using the formula:

[0263]

[0264] Calculate and obtain the optimal color temperature ratio, where: and are the maximum and minimum color temperature limits, is the scaling factor for color temperature adjustment, is the response factor for color temperature adjustment, represents the environmental dynamics index, is the fixed color temperature adjustment increment, Represents the data received from the preliminary lighting output, Indicates the optimal color temperature ratio;

[0265] Combine the optimal color temperature ratio with the brightness ratio of the matching environment and use the formula:

[0266]

[0267] The optimal light source output ratio is obtained, where is the brightness ratio value that matches the environment. Indicates the optimal color temperature ratio, Indicates the optimal light source output ratio, is the normalization factor.

[0268] Brightness matching formula for matching environment:

[0269]

[0270] : Match the brightness ratio of the environment;

[0271] : Brightness requirement coefficient of the place;

[0272] : Luminance data received from preliminary lighting output;

[0273] : Ambient light compensation factor;

[0274] : Brightness adjustment coefficient for specific occasions;

[0275] Assumptions Unit brightness, Brightness requirement factor, and ;

[0276] calculate :

[0277]

[0278] result This means that the brightness ratio should be set to 1.63 in order to achieve the visual comfort required for specific activities and environments.

[0279] Optimal color temperature ratio formula:

[0280]

[0281] : Maximum and minimum color temperature limit values;

[0282] : Scaling factor for color temperature adjustment;

[0283] : Response factor of color temperature adjustment;

[0284] : Environmental dynamics index;

[0285] : Fixed color temperature adjustment increments;

[0286] : Optimal color temperature ratio;

[0287] Assumptions: ;

[0288] calculate :

[0289]

[0290] This calculation shows that the color temperature ratio value should be adjusted to about 6500K, almost maintaining the maximum color temperature, because the activity and environmental conditions make it less necessary to reduce the color temperature.

[0291] Optimal light source output ratio formula:

[0292]

[0293] : Optimal light source output ratio;

[0294] : Brightness and color temperature ratio;

[0295] : normalization factor;

[0296] Assumptions ;

[0297] calculate :

[0298]

[0299] result It represents the light source output ratio after integrating brightness and color temperature adjustment. It is a very high value, representing extremely strong output capability.

[0300] See also Figure 7 , the specific steps for obtaining the lighting effect analysis results are:

[0301] Based on the data in the optimal light source output ratio, the real-time lighting effect is obtained synchronously, and the difference between the two is calculated using the formula:

[0302]

[0303] Generate the difference between the light source output effect and the ideal value, where: Is the optimal light source output ratio, is the real-time lighting effect in the current environment. It is the difference between the light source output effect and the ideal value;

[0304] Using the difference between the light source output effect and the ideal value, an exponential response function is used to evaluate the adaptability of the lighting effect. The formula is:

[0305]

[0306] Get the lighting adaptability index score, where: Is the difference between the light source output effect and the ideal value, represents the lighting adaptability index score;

[0307] Combining the lighting adaptability index score and the environmental efficiency assessment, the formula is used:

[0308]

[0309] A variation of the harmonic mean is used to balance the weights of adaptability and efficiency to obtain the lighting effect analysis results, where: represents the lighting adaptability index score, is an assessment of environmental efficiency, Analyze the results of lighting effects.

[0310] The formula for the difference between the light source output effect and the ideal value is:

[0311]

[0312] : The difference between the light source output effect and the ideal value, which represents the square of the difference between the optimal light source output ratio and the real-time lighting effect, and is used to emphasize the importance of the deviation;

[0313] : The optimal light source output ratio is obtained from the lighting control system;

[0314] : Real-time lighting effects, measured by sensors in real environments;

[0315] Assumptions Units (optimal output ratio obtained from the lighting control system) and Unit (actual lighting effect measured by the environment sensor);

[0316] calculate :

[0317]

[0318] Final Result The difference between the two is magnified for further analysis of the adaptability of the lighting.

[0319] Lighting adaptability index scoring formula:

[0320]

[0321] : Lighting adaptability index score, which indicates the degree of adaptability of the lighting system to the actual environmental lighting requirements;

[0322] : The difference value calculated in the previous step;

[0323] : The base of the natural logarithm, approximately equal to 2.71828, used for the calculation of exponential functions;

[0324] Using the previously calculated ;

[0325] calculate :

[0326]

[0327] This result It means that the lighting system is highly adaptable to the current environmental conditions.

[0328] Lighting effect analysis result formula:

[0329]

[0330] : Lighting effect analysis results, comprehensive adaptability and efficiency indicators;

[0331] : Adaptability index;

[0332] : Evaluation of environmental efficiency, here it is assumed to be 0.95, indicating high efficiency;

[0333] Assumed parameter values: Use and ;

[0334] calculate :

[0335]

[0336] This result It means that the lighting system has achieved a good balance between efficiency and adaptability.

[0337] See also Figure 8 , the specific steps for obtaining the LED lamp bead lighting dimming status update result are:

[0338] Based on the results of the lighting effect analysis, determine the new brightness output target and calculate the new target brightness using the formula:

[0339]

[0340] Get the adjusted brightness target, where is the lighting effect evaluation score, Represents the maximum brightness capability, is a newly introduced regulatory factor, is the adjusted brightness target;

[0341] Based on the adjusted brightness target, combined with ambient light feedback and user preference, the new color temperature output is calculated using the formula:

[0342]

[0343] The output value after color temperature adjustment is obtained, where represents ambient light feedback, Indicates the preferences set by the user. Used to adjust the adaptability of color temperature output, is the output value after color temperature adjustment, is the adjusted brightness target;

[0344] Combine the color temperature adjusted output value and the adjusted brightness target to update the dimming state of the LED lamp beads using the formula:

[0345]

[0346] Generate LED lamp bead lighting dimming status update results, where: is the adjusted brightness target, , and It is the composite adjustment coefficient for adjusting color temperature and brightness. Indicates the LED lamp lighting dimming status update result.

[0347] Adjusted brightness target formula:

[0348]

[0349] : The adjusted brightness target is used to optimize the output of LED lamp beads;

[0350] : The lighting effect analysis result can be obtained through the previous lighting analysis model, which represents the adaptability score of the current lighting effect;

[0351] : Maximum brightness output capability, which is determined based on the lamp specification or the maximum brightness value provided by the manufacturer;

[0352] : Adjustment factor, used to adjust the target brightness to suit a specific lighting effect. This factor comes from statistical analysis of historical data or the system's default settings;

[0353] Assumptions (Adaptability score obtained from the lighting effect analysis), Lumens (maximum brightness output of LED lamp beads), (The adjustment factor is set according to the environment);

[0354] Substitute the formula into the calculation :

[0355]

[0356] result Lumens means that under the current light analysis results, the LED lamp beads should be adjusted to a brightness output of approximately 708.33 lumens.

[0357] The output value formula after color temperature adjustment is:

[0358]

[0359] : The adjusted color temperature output reflects the color temperature expected by the user in the current environment;

[0360] : Ambient light feedback, real-time data from environmental sensors, measuring the color temperature in the environment;

[0361] : User preference settings, which are set manually by the user or inferred from user habits;

[0362] : Adaptive adjustment coefficient, which indicates the sensitivity of the system to adjust the color temperature under different lighting conditions, which is preset by the system or adjusted dynamically;

[0363] : The brightness target calculated from the previous formula is used as an index adjustment factor to affect the adjustment range of color temperature;

[0364] Assumptions (ambient light feedback), (User Preferences), (adaptive adjustment coefficient), and (brightness target obtained from the previous step);

[0365] Substitute the formula into the calculation :

[0366]

[0367] The calculated results Indicates the adjustment value of color temperature. The value is combined with system parameters to fine-tune the color temperature output.

[0368] LED lamp bead lighting dimming status update result formula:

[0369]

[0370] : The final LED lamp bead lighting dimming state combines the adjustment of brightness and color temperature;

[0371] : adjusted brightness target;

[0372] : Output value after color temperature adjustment;

[0373] : The coefficient that adjusts the relationship between color temperature and brightness is set based on the light response characteristics;

[0374] : Exponential adjustment factor, which controls the response intensity of the dimming state and is set based on user preferences or environmental requirements;

[0375] Assumptions (Adjustment coefficient), (Adjustment Factor);

[0376] Substitute the formula into the calculation :

[0377]

[0378] result , indicating that the final dimming state of the LED lamp bead needs to be adjusted to the calculated state value.

[0379] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. An intelligent LED lamp bead dimming system, characterized in that: The system comprises: The light intensity analysis module monitors the indoor light intensity and personnel activities in real time, integrates the current light intensity and room occupancy status, obtains the environmental status index, calculates the spatial dynamics of light and personnel distribution based on the environmental status index, and generates spatial dynamic information; The activity mode response module uses the spatial dynamic information to determine the changing trend of lighting demand, calculates the required light intensity and color temperature changes, generates lighting adjustment instructions, and optimizes and adjusts the lighting adjustment instructions according to the lighting adjustment instructions and the nature of the venue activities to form adjusted lighting parameters; The steps for obtaining the adjusted lighting parameters are specifically as follows: According to the spatial dynamic information, the changing trend of lighting demand is analyzed, and the formula is adopted: ； Calculate the required light intensity and generate the preset light demand, where: Represents spatial dynamic information, is the adjustment factor, Represents pre-adjusted lighting requirements; According to the pre-adjusted lighting requirements, the color temperature change trend is determined, and the linear adjustment formula is used: ； Calculate the required color temperature and generate the pre-adjusted color temperature requirement, where: Indicates the adjusted color temperature. Adjust the color temperature parameters. is the minimum color temperature set, and Represent the current and maximum spatial dynamic information respectively; Combined with the pre-adjusted lighting requirements and pre-adjusted color temperature requirements, the formula is: ； Generate lighting adjustment instructions, and optimize and adjust the lighting adjustment instructions in combination with the nature of the venue activities, using the formula: ； Get the adjusted lighting parameters, where For lighting adjustment instructions, To adjust the backlighting parameters, is a function that adjusts the lighting parameters according to the nature of the activity. Indicates the adjusted color temperature. Represents pre-adjusted lighting requirements; The LED dimming control module adjusts the brightness and color temperature of the LED lamp beads according to the adjusted lighting parameters, performs brightness and color temperature control, obtains a preliminary lighting output, and fine-tunes the preliminary lighting output to obtain an optimal light source output ratio; The steps for obtaining the preliminary lighting output are specifically as follows: Receive data from the adjusted lighting parameters, including the set values ​​of brightness and color temperature, and adjust the brightness of the LED lamp beads according to the dynamic changes in lighting requirements using the formula: ； The LED brightness adjustment value is calculated, where: Represents the data received from the adjusted lighting parameters, is the brightness ratio adjusted according to the nature of the activity. Represents the brightness adjustment factor associated with the current activity type. is the LED brightness adjustment value; Analyze the color temperature requirements in the LED brightness adjustment value and use the color temperature adjustment formula: ； Calculate and obtain the color temperature adjustment result, where: and are the maximum and minimum color temperature values, is the scaling factor for color temperature adjustment, Represents spatial dynamic information, is the color temperature adjustment result; Combine the color temperature adjustment result with the LED brightness adjustment value to perform light adjustment using the formula: ； Get the preliminary lighting output, where is the preliminary lighting output, is the color temperature adjustment result, is the LED brightness adjustment value; The steps for obtaining the optimal light source output ratio are specifically as follows: Analyze the data received from the preliminary lighting output. The data includes two core indicators: brightness and color temperature. Using the brightness indicator, apply the formula: ； Calculate and obtain the brightness ratio of the matching environment, where: Represents the data received from the preliminary lighting output, represents the brightness requirement quantization coefficient, and Represent the coefficients of environmental compensation and occasion adjustment respectively, It is the brightness ratio that matches the environment; The color temperature information in the brightness ratio of the matching environment is analyzed using the formula: ； Calculate and obtain the optimal color temperature ratio, where: and are the maximum and minimum color temperature limits, is the scaling factor for color temperature adjustment, is the response factor for color temperature adjustment, represents the environmental dynamics index, is the fixed color temperature adjustment increment, Represents the data received from the preliminary lighting output, Indicates the optimal color temperature ratio; Combine the optimal color temperature ratio with the brightness ratio of the matching environment and use the formula: ； Get the optimal light source output ratio, where is the brightness ratio value that matches the environment. Indicates the optimal color temperature ratio. Indicates the optimal light source output ratio, is the normalization factor; The lighting effect evaluation module compares the optimal light source output ratio with the real-time lighting effect, analyzes the lighting adaptability and efficiency, obtains the lighting effect analysis result, adjusts the lighting response strategy and lighting output parameters according to the lighting effect analysis result, optimizes the overall response and performance of LED lamp bead dimming, and generates the LED lamp bead lighting dimming status update result.

2. The intelligent LED lamp bead dimming system according to claim 1, characterized in that: The steps for obtaining the environmental status indicator are specifically as follows: By real-time monitoring of indoor light intensity and personnel activities, combined with time and space location, using light sensor data, through the formula: ； Get the initial environment data, where Represents the indoor light intensity, Represents the room occupancy status, represents the collection time, and are the maximum values ​​of time and space respectively, is the adjustment factor, is the initial environment data, Indicates the sensor location; The initial environmental data is processed by using a weighted moving average method, through the formula: ； Generate weighted environmental data, where Represent the environmental data at adjacent time points, and is the time series weight coefficient, is weighted environmental data; Integrating the weighted environmental data and the occupancy status of people in the room, apply the formula: ； Get the environmental status index, where represents weighted environmental data, Represents the occupancy status, is the adjustment factor, An indicator of environmental status.

3. The intelligent LED lamp bead dimming system according to claim 2, characterized in that: The steps of acquiring the spatial dynamic information are specifically as follows: Based on the environmental status indicators, according to the light intensity and room occupancy data, the environmental impact factors are integrated using the formula: ； Generate environmental impact data, where Representative The light intensity at the location, Representative The occupancy status of the location, is the weight factor, is the total number of reference spatial point positions, Indicates environmental impact data; Based on the environmental impact data, the spatial dynamic change is calculated and the dynamic change function is defined using the formula: ； Generate a spatial variation index where is the number of measurement points in the time window, where Representative Environmental impact data at all times, Indicates Environmental impact data at all times, represents an indicator of spatial variation; According to the spatial change index, a spatial dynamic map is calculated and drawn, using the normalization processing formula: ； Get spatial dynamic information, where Represents spatial dynamic information, Represents the spatial variation index.

4. The intelligent LED lamp bead dimming system according to claim 1, characterized in that: The steps for obtaining the illumination effect analysis result are specifically as follows: Based on the data in the optimal light source output ratio, the real-time lighting effect is obtained synchronously, and the difference between the two is calculated using the formula: ； Generate the difference between the light source output effect and the ideal value, where: Is the optimal light source output ratio, is the real-time lighting effect in the current environment. It is the difference between the light source output effect and the ideal value; Using the difference between the light source output effect and the ideal value, an exponential response function is used to evaluate the adaptability of the lighting effect, and the formula is applied: ； Get the lighting adaptability index score, where: Is the difference between the light source output effect and the ideal value, represents the lighting adaptability index score; Combining the lighting adaptability index score and the environmental efficiency assessment, the formula is used: ； A variation of the harmonic mean is used to balance the weights of adaptability and efficiency to obtain the lighting effect analysis results, where: represents the lighting adaptability index score, is an assessment of environmental efficiency, Analyze the results of lighting effects.

5. The intelligent LED lamp bead dimming system according to claim 4, characterized in that: The steps for obtaining the LED lamp bead lighting dimming status update result are specifically as follows: Based on the illumination effect analysis results, a new brightness output target is determined, and a new target brightness is calculated using the formula: ； Get the adjusted brightness target, where is the lighting effect evaluation score, Represents the maximum brightness capability, is a newly introduced regulatory factor, is the adjusted brightness target; Based on the adjusted brightness target, combined with ambient light feedback and user preference, a new color temperature output is calculated using the formula: ； The output value after color temperature adjustment is obtained, where represents ambient light feedback, Indicates the preferences set by the user. Used to adjust the adaptability of color temperature output, is the output value after color temperature adjustment, is the adjusted brightness target; Combined with the color temperature adjusted output value and the adjusted brightness target, the dimming state of the LED lamp bead is updated using the formula: ； Generate LED lamp bead lighting dimming status update results, where is the adjusted brightness target, is the output value after color temperature adjustment, and It is the composite adjustment coefficient for adjusting color temperature and brightness. Indicates the LED lamp lighting dimming status update result.

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