LED ceiling lamp control system based on dynamic light source adjustment

Abstract

The invention relates to the technical field of LED dimming control, in particular to an LED ceiling lamp control system based on dynamic light source adjustment, which comprises a brightness sensing module, a dimming decision module, a light source regulation and control module, an anomaly detection module and a brightness optimization module. According to the invention, the operation load of the lamp is dynamically measured and calculated by combining ambient light and thermal radiation data, the collaborative perception of illumination intensity and thermal energy distribution is realized, the response sensitivity to weak brightness change is improved by comparing the brightness demand with the real-time output deviation and accurately identifying the dimming trigger condition, and the response sensitivity to weak brightness change is improved by comparing the initial brightness with the feedback difference value. The brightness of a plurality of lamps can be adjusted coordinately, the spatial light environment is kept stable and consistent, overload and temperature rise abnormity can be checked and abnormal lamps can be identified by combining current fluctuation and temperature abrupt change analysis, an intervention record and reaction duration comparison mechanism is introduced into a regulation and control instruction, the response efficiency is improved, and the efficiency is improved. And brightness priority adjustment and overall illumination balance control of the key area are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of LED dimming control, and in particular to an LED ceiling lamp control system based on dynamic light source adjustment. Background Art

[0002] The field of LED dimming control technology involves technologies related to brightness adjustment of light-emitting diodes (LEDs). Core issues include current regulation, brightness level adjustment, color temperature conversion, and response linkage with external control signals of LED light sources. This technology is widely used in scenarios such as indoor and outdoor lighting, displays, and intelligent lighting management. Dimming methods mainly include constant current dimming, pulse width modulation dimming, and analog voltage dimming. In practical applications, wireless control, timing management, and induction linkage are often combined to achieve various forms of lighting control. Among them, traditional LED ceiling light control systems refer to control devices used to switch and adjust the brightness of ceiling-mounted LED lamps. They mainly focus on how to achieve convenient dimming and control of LED ceiling lamps in a limited space. The method used is to switch the output current of the driving power supply through manual buttons, wall switches, or infrared remote controls, thereby controlling the working status and brightness level of the LED lamp. This method relies on the user's operation and cooperation at the physical location, making it difficult to achieve remote, automatic, or scenario-based control requirements.

[0003] Existing technologies rely on manual buttons, wall switches or infrared remote controls for brightness control, which are limited by the user's operating range and physical location, making it difficult to achieve dynamic response to environmental changes. In scenarios where indoor light intensity fluctuates rapidly or multiple lamps are used in combination, brightness adjustment cannot promptly match space requirements, and local overbrightness or uneven illumination may easily occur. Existing control methods do not incorporate real-time feedback on operating status, making it difficult to promptly identify lamp overload or abnormal heating status, resulting in hidden fault risks under high-frequency use or long-term working conditions. For example, in centralized office areas, local lamp brightness deviations cannot be calibrated in a timely manner, affecting visual comfort and lighting safety. Summary of the Invention

[0004] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an LED ceiling lamp control system based on dynamic light source adjustment.

[0005] In order to achieve the above objectives, the present invention adopts the following technical solutions: A LED ceiling lamp control system based on dynamic light source adjustment includes:

[0006] The brightness sensing module uses measurement data from the ambient light sensor and the lamp's built-in temperature control unit, combined with changes in indoor and outdoor light intensity and the lamp's thermal radiation distribution. By analyzing the relationship between brightness fluctuations and temperature ranges within a unit time, it obtains the lamp's operating load value.

[0007] The dimming decision module identifies the brightness demand and real-time output deviation in the current dimming cycle based on the operating load value of the lamp, determines whether the dimming trigger threshold is reached by comparing the ratio of the two, and generates a dimming instruction priority;

[0008] The light source control module determines whether there is a brightness offset segment by comparing the initial brightness setting value of the lamp with the real-time brightness feedback value according to the dimming instruction priority, and performs brightness synchronization determination of adjacent lamps to generate a light source coordination control instruction;

[0009] The abnormality detection module calls the light source coordination control instruction, identifies the concentrated occurrence of overload areas and temperature rise points by analyzing the current fluctuation diagram and temperature mutation points in the operating status of the lamp, filters abnormal lamps and associates the adjustment range to obtain the abnormal lamp identification.

[0010] As a further solution of the present invention, the lamp operating load value includes brightness distribution uniformity, temperature change amplitude, and dimming cycle brightness adaptation rate; the dimming instruction priority includes brightness demand growth rate, dimming adaptability, and load balancing efficiency; the light source coordination control instruction includes adjacent lamp brightness deviation, brightness offset judgment value, and dimming cycle correction factor; the abnormal lamp identification includes abnormal brightness segment number, temperature mutation identification label, and current accumulation area identification.

[0011] As a further solution of the present invention, the brightness perception module includes:

[0012] The brightness detection submodule extracts the light sensing data and temperature control feedback signal frames based on the measurement data of the ambient light sensor and the built-in temperature control unit of the lamp. It analyzes the matching relationship between the light intensity and the temperature signal, counts the number of brightness fluctuations per unit time, and generates a brightness fluctuation sequence table for the dimming cycle.

[0013] The brightness adaptation submodule extracts the brightness start and end values ​​and timestamps in the operating state of the lamp based on the dimming cycle brightness fluctuation sequence table, identifies the amplitude and time interval of continuous brightness changes, summarizes the average brightness adaptation rate of the lamp and the number of brightness fluctuations in the dimming cycle, and generates a set of lamp brightness adaptation indicators;

[0014] The load evaluation submodule identifies the brightness requirements and real-time output data within each dimming cycle based on the lamp brightness adaptation index set, and performs numerical calculations on the lamp load status according to the ratio of the brightness adaptation requirement to the available brightness segment per unit time to obtain the lamp operating load value.

[0015] As a further solution of the present invention, the dimming decision module includes:

[0016] The brightness adaptation calculation submodule extracts the brightness demand per unit time and the upper limit of the brightness of the lamp based on the operating load value of the lamp, identifies the ratio of the brightness demand per cycle to the theoretical adaptation value, and obtains the brightness adaptation value;

[0017] The brightness deviation determination submodule calls the brightness adaptation value, counts the brightness demand and real-time output during the dimming period in each cycle, analyzes the difference in their ratio, and compares it with a fixed brightness reference ratio to obtain a brightness deviation ratio;

[0018] The dimming trigger identification submodule identifies the dimming cycle load according to the brightness deviation ratio, combined with the original brightness trend and the total brightness demand of the current dimming cycle, and compares it with the set dimming trigger threshold to obtain the dimming instruction priority.

[0019] As a further solution of the present invention, the light source control module includes:

[0020] The brightness offset judgment submodule determines whether the dimming cycle deviates from the brightness adaptation strategy and obtains the brightness control offset status based on the dimming command priority, combined with the initial brightness setting value and real-time brightness feedback value collected by the lamp driver power supply, and compared with the set brightness offset threshold;

[0021] The brightness timing correction submodule extracts the brightness adaptation rate and dimming duration from the lamp control library based on the brightness control offset state. Combining the brightness fluctuation amplitude with the lamp thermal radiation density, it aggregates the differences in brightness adaptation efficiency and thermal radiation intensity for each lamp, identifies the brightness adaptation deviation level, and adjusts the brightness timing plan sequence based on the level range to construct a light source rhythm rearrangement plan.

[0022] The light source synchronization instruction acquisition submodule calls the light source rhythm rearrangement scheme, collects the brightness start time and synchronization deviation reference value of the current lamp and adjacent lamps in the lamp control gateway, determines whether the rearrangement scheme causes brightness dislocation and overlap, and obtains the light source coordination control instruction.

[0023] As a further solution of the present invention, the anomaly detection module includes:

[0024] The current fluctuation identification submodule calls the light source coordination control instruction, extracts the current fluctuation diagram in the lamp operation state, analyzes the amplitude change, frequency fluctuation and lamp operation parameters of the current waveform, compares the amplitude difference of the current fluctuation in the area, and obtains the current fluctuation coefficient value;

[0025] The temperature mutation judgment submodule identifies the original temperature information of the lamp based on the current fluctuation coefficient value, extracts the temperature jump amplitude and frequency, analyzes the deviation from the median value of the temperature fluctuation range, and obtains the temperature jump comparison value;

[0026] The abnormal lamp screening submodule extracts the lamp number, operation time sequence and coverage range involved in the light source coordination control instruction based on the temperature jump comparison value, identifies the abnormal intensity, maps it to the light source control number, and obtains the abnormal lamp identification.

[0027] As a further solution of the present invention, the system also includes a brightness optimization module:

[0028] Based on the abnormal lamp identification, the brightness optimization module calls the original brightness adjustment record, extracts the time difference between the brightness intervention delay and the adaptation result, compares the current lamp number with the original response time, adjusts the trigger priority sequence, and obtains the brightness control instruction of the key area;

[0029] The key area brightness control instruction includes brightness response priority, original intervention delay data, and control lamp number matching value.

[0030] As a further solution of the present invention, the brightness optimization module includes:

[0031] The lamp identification extraction submodule extracts the brightness response time and abnormal event number from the lamp log based on the abnormal lamp identification, identifies the response time period corresponding to the number, and maps and combines it with the lamp number to generate a lamp response tag set;

[0032] The brightness response delay calculation submodule calls the lamp response tag set, extracts the brightness intervention start time and adaptation end time of the corresponding lamp, analyzes the time difference between the two and matches it to the lamp number, identifies the corresponding data between the lamp number and the response delay, and obtains the lamp response delay list;

[0033] The brightness control instruction generation submodule rearranges the brightness priority sequence according to the delay degree based on the lamp response delay list and the original response time, and allocates the adjusted brightness parameter value in combination with the lamp number to obtain the brightness control instruction for the key area.

[0034] Compared with the prior art, the advantages and positive effects of the present invention are:

[0035] In the present invention, the operating load of the lamp is dynamically measured by combining the ambient light and thermal radiation information, so as to realize the coordinated perception between the light intensity and the heat energy distribution. The dimming trigger conditions are dynamically identified through the comparison mechanism of the brightness demand and the real-time output deviation, so as to improve the response sensitivity to the slight brightness changes in the indoor lighting scene. Furthermore, through the continuous comparison of the initial brightness setting and the current feedback difference, the brightness coordination adjustment between multiple lamps is promoted to maintain the light environment in the space in a consistent and stable state. At the same time, the joint recognition logic of current fluctuation and temperature mutation is introduced in the monitoring of the lamp operation status, which can effectively detect overload and abnormal temperature rise, form an accurate recognition mechanism for abnormal lamps, and introduce the comparison results of the original intervention record and the reaction time in the brightness control instruction to complete the re-ranking of the response efficiency in different areas, and finally realize the brightness priority intervention and overall light efficiency balanced adjustment of key areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 is a system flow chart of the present invention;

[0037] Figure 2 This is a flow chart of the brightness perception module in the present invention;

[0038] Figure 3 This is a flow chart of the dimming decision module in the present invention;

[0039] Figure 4 This is a flow chart of the light source control module in the present invention;

[0040] Figure 5 This is a flow chart of the anomaly detection module in the present invention;

[0041] Figure 6 This is a flow chart of the brightness optimization module in the present invention. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to 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.

[0043] 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, indicating positions or relationships, are based on the positions or relationships shown in the accompanying drawings and are intended only to facilitate the description of the present invention and simplify the description. They do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed, or operate in a specific orientation. Therefore, they should not be construed as limiting the present invention. Furthermore, in the description of the present invention, "plurality" means two or more, unless otherwise expressly and specifically defined.

[0044] See also Figure 1 , an LED ceiling lamp control system based on dynamic light source adjustment includes:

[0045] The brightness sensing module uses measurement data from the ambient light sensor and the lamp's built-in temperature control unit, combined with changes in indoor and outdoor light intensity and the lamp's thermal radiation distribution. By analyzing the relationship between brightness fluctuations and temperature ranges within a unit time, it obtains the lamp's operating load value.

[0046] The dimming decision module identifies the brightness demand and real-time output deviation within the current dimming cycle based on the lamp operating load value. By comparing the ratio of the two, it determines whether the dimming trigger threshold is reached and generates the dimming command priority.

[0047] The light source control module determines whether there is a brightness offset segment by comparing the initial brightness setting value of the lamp with the real-time brightness feedback value according to the dimming command priority, and performs brightness synchronization judgment on adjacent lamps to generate light source coordination control instructions;

[0048] The abnormality detection module calls the light source coordination control command, analyzes the current fluctuation diagram and temperature mutation points in the lamp operation status, identifies the concentrated occurrence of overload areas and temperature surge points, screens abnormal lamps, associates the adjustment range, and obtains the abnormal lamp identification;

[0049] The brightness optimization module is based on the identification of abnormal lamps. By calling the original brightness adjustment record, it extracts the time difference between the brightness intervention delay and the adaptation result, compares the current lamp number with the original response time, adjusts the trigger priority sequence, and obtains the brightness control instructions for key areas.

[0050] The operating load value of the lamp includes the uniformity of brightness distribution, the temperature change amplitude, and the brightness adaptation rate of the dimming cycle. The dimming instruction priority includes the brightness demand growth rate, dimming adaptability, and load balancing efficiency. The light source coordination control instruction includes the brightness deviation of adjacent lamps, the brightness offset judgment value, and the dimming cycle correction factor. The abnormal lamp identification includes the abnormal brightness segment number, the temperature mutation identification label, and the current concentration area identification. The brightness control instruction of the key area includes the brightness response priority, the original intervention delay data, and the control lamp number matching value.

[0051] See also Figure 2 , the brightness perception module includes:

[0052] The brightness detection submodule extracts the light sensing data and temperature control feedback signal frames based on the measurement data of the ambient light sensor and the built-in temperature control unit of the lamp. It analyzes the matching relationship between the light intensity and the temperature signal, counts the number of brightness fluctuations per unit time, and generates a brightness fluctuation sequence table for the dimming cycle.

[0053] Based on the measurement data of the ambient light sensor and the temperature control unit built into the lamp, in the real-time monitoring of ambient light in the smart office building, the ambient light sensor, such as a high-precision photodiode sensor, continuously collects the illumination data of the indoor environment at a frequency of every 100 milliseconds (ms), and its value range covers 0 lux to 1000 lux. For example, the sensor records an illumination value of 550 lux during a certain period of time; at the same time, the temperature control unit built into the lamp, such as an NTC thermistor installed near the LED driver, monitors the key temperature points inside the lamp at a frequency of every 500 milliseconds (ms), and its value range covers 20 degrees Celsius (℃) to 80 degrees Celsius. For example, the temperature value fed back by the temperature control unit during this period is 45℃. The light sensing data packet and the temperature control feedback signal frame are accurately extracted from the original measurement data stream, and each frame of light intensity data is matched with the corresponding temperature control feedback signal. The light intensity and temperature signals are analyzed by calculating the correlation coefficient between the two. For example, if the light intensity drops by more than 10% in a short period of time (for example, within 2 seconds) while the internal temperature remains stable or drops slightly, the correlation coefficient will be a positive correlation, indicating that this is a normal dimming response; conversely, if the light intensity is stable and the internal temperature rises by more than 5°C within 5 seconds, the correlation coefficient will be a negative correlation, indicating a potential brightness abnormality caused by overheating; within a selected unit time (for example, 5 minutes), the brightness output of the lamp is continuously monitored and the number of brightness fluctuations is counted. A brightness fluctuation is defined as a situation where the actual brightness value changes by more than 5% of its average value within 200 milliseconds. For example, within a certain 5-minute period, the brightness is detected to change from 500 lux to 470 lux instantly, which is recorded as a fluctuation. If a total of 3 qualified brightness fluctuations are detected in this period, then the number of brightness fluctuations in the 5-minute period is 3, thereby generating a dimming cycle brightness fluctuation sequence table containing the number of brightness fluctuations in each 5-minute period.

[0054] The brightness adaptation submodule extracts the brightness start and end values ​​and timestamps of the lamp's operating status based on the brightness fluctuation sequence table of the dimming cycle, identifies the amplitude and time interval of continuous brightness changes, summarizes the average brightness adaptation rate of the lamp and the number of brightness fluctuations within the dimming cycle, and generates a set of lamp brightness adaptation indicators;

[0055] Parse the brightness start and end values ​​of each dimming event and the corresponding precise timestamp from the dimming cycle brightness fluctuation sequence table. For example, in the sequence, record a dimming cycle starting at 9:00:10 in the morning, with an initial brightness of 600 lux, ending at 9:00:15, and a final brightness of 350 lux; accurately identify the amplitude and duration time interval of each continuous brightness change, and obtain the amplitude of the brightness change by subtracting the starting brightness value from the final brightness value (for example, 350 lux - 600 lux = -250 lux), and calculate the difference in timestamps to obtain the time interval (for example, 9:00:15-9:00:10 = 5 seconds). The value accurately reflects the dynamic characteristics of brightness adjustment; based on the brightness change data of all dimming events in the statistical period, summarize and calculate the average brightness of the lamps. The brightness adaptation rate is calculated by averaging the ratio of the actual brightness stability value achieved in each dimming event to the target brightness value. For example, if the target brightness of a lamp is 400 lux and the actual stable brightness reaches 380 lux, the single adaptation rate is 95%. The average brightness adaptation rate of the lamp obtained by averaging multiple cycles is 96.2%, indicating that it can efficiently respond to dimming commands most of the time. At the same time, the number of brightness fluctuations detected within the dimming cycle (for example, one dimming cycle per hour) is summarized. For example, in a one-hour dimming cycle, a total of 5 brightness fluctuation events were recorded. By integrating the data, a set of lamp brightness adaptation indicators is finally generated. This indicator set contains key quantitative data on the brightness response characteristics, fluctuation frequency and overall adaptation performance of the lamp in actual operation.

[0056] The load assessment submodule identifies the brightness requirements and real-time output data within each dimming cycle based on the luminaire brightness adaptation index set. It then performs numerical calculations on the luminaire load status based on the ratio of the brightness adaptation requirement to the available brightness range within a unit time, using the formula:

[0057]

[0058] Get the lamp operating load value;

[0059] Among them, L represents the operating load value of the lamp, T represents the total number of dimming cycles in the selected unit time, and D t represents the brightness adaptation requirement value in the t-th dimming cycle, α represents the brightness requirement weight factor, W t Represents the power usage ratio of the lamp in the tth dimming cycle, R t represents the available brightness output value in the t-th dimming cycle, ∈ represents a very small constant to prevent the denominator from being zero, and μ represents the mean of the expected brightness output value per unit time;

[0060] Based on the luminaire brightness adaptation index set, in the smart office lighting scenario, the brightness demand data and the real-time brightness output data of the luminaire within each dimming cycle (for example, one dimming cycle every 5 minutes) are accurately identified from the luminaire brightness adaptation index set. For example, within a 5-minute cycle, the brightness demand received from the intelligent control system is 500 lux, while the average brightness output of the luminaire in real time is 480 lux. The load state of the luminaire is numerically calculated based on the ratio of the brightness adaptation demand within a unit time (for example, a working day, which includes 96 5-minute dimming cycles). The brightness demand refers to the target brightness value that the control system wants the luminaire to achieve, and the available brightness range refers to the brightness range that the luminaire can stably output under current operating conditions. For example, if the brightness demand of a luminaire is 500 lux, but due to ambient temperature or driver limitations, it can only output a maximum of 520 lux under current conditions, then the available brightness range is 520 lux. The operating load value of the luminaire is calculated using the formula: Where L represents the operating load value of the lamp. A higher value indicates a greater load. T represents the total number of dimming cycles within the selected unit time. For example, if one day is selected as the unit time, which contains 96 5-minute dimming cycles, then T = 96. D t represents the brightness adaptation demand value in the t-th dimming cycle. This value comes from the intelligent lighting strategy or ambient light sensing. For example, the brightness demand in the t-th cycle is set to 500 lux. α represents the brightness demand weight factor, which is used to measure the relative importance of brightness demand to the load. Its setting refers to the experimental evaluation of users' brightness comfort and energy saving goals. For example, by conducting a questionnaire survey on 30 office workers in a simulated environment and combining it with energy consumption data analysis, when α is set to 1.2, it can better balance users' expectations of brightness response speed and energy consumption performance. Therefore, α is set to 1.2. W t Represents the power usage ratio of the lamp in the tth dimming cycle. This value is obtained by real-time monitoring of the ratio of the lamp's instantaneous active power to the rated power. For example, if the rated power of a lamp is 40W and the current instantaneous active power is 32W, then W t =32W / 40W=0.8; R t Represents the available luminance output value in the t-th dimming cycle, which is measured in real time by the built-in light sensor of the lamp and fed back by the driver. For example, the real-time measured available luminance output is 510 lux; ∈ represents a very small constant, which is set to 0.001. Its purpose is to prevent the denominator from being zero and to ensure the stability of the formula operation, especially in R tIn extreme cases where the value is extremely small or zero; μ represents the average expected brightness output value per unit time. This value is obtained by analyzing historical data and combining it with the ideal dimming curve. For example, if the average historical expected brightness output value within a working day is 450 lux, then μ = 450.

[0061] Table 1: Example of operating data of a lamp in 5 consecutive dimming cycles

[0062]

[0063]

[0064] As shown in Table 1, the data of 5 consecutive dimming cycles are selected to calculate the lamp operating load value L. Assuming that the total number of dimming cycles T = 96, the brightness demand weight factor α = 1.2, the minimum constant ∈ = 0.001, and the average of the expected brightness output value

[0065] Select the first cycle data in Table 1 to calculate the summation:

[0066] Select the second cycle data in Table 1 to calculate the summation term:

[0067] Select the third cycle data in Table 1 to calculate the summation term:

[0068] Select the fourth cycle data in Table 1 to calculate the summation term:

[0069] Select the fifth cycle data in Table 1 to calculate the summation:

[0070] Assuming the average value of the remaining 91 cycles is 450, the total is 5×467.07+91×450=43285.35. Therefore, the calculation of the lamp operating load value L is:

[0071] The benefit of the formula is that by comprehensively considering the brightness requirement D t , its weight factor α, lamp power usage ratio W t and available luminance output R t, and introduces a minimum constant ∈ to improve the robustness of the calculation. At the same time, the mean μ of the expected brightness output value is subtracted for normalization. This formula can accurately quantify the actual load faced by the lamp during operation and comprehensively evaluate the challenges in meeting brightness requirements and maintaining stable output, thereby providing a reliable quantitative basis for subsequent dimming decisions. The result L = 0.89 indicates that the current lamp operating load value is slightly higher than zero. Considering that the closer the L value is to zero or a negative number, the smaller the load, this indicates that the lamp is under moderate load under current operating conditions and is not overloaded. This load value will be directly used as an input parameter for the brightness adaptation calculation submodule to guide subsequent dimming strategy adjustments.

[0072] See also Figure 3 , the dimming decision module includes:

[0073] The brightness adaptation calculation submodule extracts the brightness demand per unit time and the upper limit of the brightness of the lamp based on the operating load value of the lamp, identifies the ratio of the brightness demand per cycle to the theoretical adaptation value, and obtains the brightness adaptation value;

[0074] Based on the lamp operating load value, after obtaining the lamp operating load value L as 0.89, the brightness demand in the current unit time (for example, every 5 minutes) and the brightness upper limit of the lamp are extracted. For example, in a certain 5-minute period, the brightness demand of the office area is determined to be 450 lux according to the preset strategy. At the same time, the brightness upper limit of the lamp is obtained from the lamp parameter library as 650 lux. This upper limit represents the maximum brightness that the lamp can output under the best working conditions; identify the ratio of the brightness demand per cycle to the theoretical adaptation amount. The theoretical adaptation amount refers to the brightness that the system calculates that the lamp should be able to achieve under ideal conditions based on the load condition and performance parameters of the lamp in the current state. The maximum brightness output value of a lamp is calculated as follows: the upper brightness limit of the lamp is multiplied by an adjustment coefficient based on the load value L. For example, the adjustment coefficient is (1-L / 100), where 100 is a preset load reference value. Therefore, the theoretical adaptation amount is 650lux×(1-0.89 / 100)=650lux×0.9911≈644.2lux. The brightness demand (for example, 450lux) is compared with the theoretical adaptation amount (for example, 644.2lux). The ratio of the two is calculated (450lux / 644.2lux≈0.698) to obtain the brightness adaptation value, which reflects the percentage of the current brightness demand within the theoretical adaptation capacity of the lamp.

[0075] The brightness deviation determination submodule calls the brightness adaptation value, counts the brightness demand and real-time output during the dimming period of each cycle, analyzes the difference in their ratio, and compares it with the fixed brightness reference ratio to obtain the brightness deviation ratio;

[0076] After obtaining the brightness adaptation value of 0.698, the brightness demand and real-time output of the dimming period in each cycle (for example, one cycle every 5 minutes) are counted. For example, in a specific 5-minute dimming cycle, the brightness demand is 450 lux, while the brightness output fed back in real time by the built-in sensor of the lamp is 430 lux. The difference in the ratio between the two is analyzed, and the ratio of the real-time output to the brightness demand is calculated, for example, 430 lux / 450 lux ≈ 0.956, to obtain the matching ratio of the actual brightness output to the demand. This ratio indicates that the actual output of the lamp reaches 95.6% of the demand. Subsequently, the actual matching ratio is compared with the fixed brightness reference ratio, which is a preset brightness reference ratio used to measure The standard for ideal brightness adaptation, the setting of this benchmark ratio refers to international lighting standards (such as ISO8995-1) and user feedback, and has been verified through multiple visual comfort experiments in laboratory environments. For example, experimental results show that when the ratio of actual brightness to required brightness is lower than 0.95, most users will perceive insufficient brightness and express a decrease in comfort. To ensure the best balance between user experience and energy saving effects, the brightness benchmark ratio is set to 0.95; the difference between the actual matching ratio (0.956) and the brightness benchmark ratio (0.95) is calculated (0.956-0.95=0.006) to obtain the brightness deviation ratio. This value of 0.006 indicates that the current brightness output of the lamp is higher than the benchmark ratio and is within an acceptable range.

[0077] The dimming trigger identification submodule identifies the dimming cycle load based on the brightness deviation ratio, the original brightness trend, and the total brightness demand of the current dimming cycle, and compares it with the set dimming trigger threshold to obtain the dimming instruction priority;

[0078] According to the brightness deviation ratio, it is combined with the original brightness trend at the current moment. For example, by analyzing the average ambient light data of the past hour, the original brightness trend is shown to be slowly decreasing, and the total brightness demand of the current dimming cycle is 900 lux (if the cycle includes two dimming events, each demand is 450 lux); identify the dimming cycle load degree, which is a composite indicator obtained by comprehensively considering the lamp operating load value L (for example, 0.89), the brightness deviation ratio (for example, 0.006) and the total brightness demand. The calculation method is: load degree = L × (1 + brightness deviation ratio) × (total brightness demand / maximum output brightness of the lamp). Assuming that the maximum output brightness of the lamp is 700 lux, the load degree is 0.89 × (1 + 0.006) × (900 / 700) ≈ 0.89 × 1.006 × 1.286 ≈ 1.15, this value reflects the overall operating pressure and demand response degree of the lamp in the current dimming cycle; the calculated dimming cycle load degree (for example, 1.15) is compared with the set dimming trigger threshold. The dimming trigger threshold is pre-set and is used to define the threshold when the dimming decision needs to be initiated. Its setting refers to factors such as energy-saving goals, user comfort standards, and lamp life, and is adjusted through long-term operation data analysis and expert experience. For example, when the load degree exceeds 1.0, it is considered necessary to actively intervene in dimming to avoid potential overload or discomfort, so the dimming trigger threshold is set to 1.0; if the load degree (1.15) is greater than the threshold (1.0), the priority is "high", if it is less than 0.8, it is "low", and between 0.8 and 1.0 is "medium". The final dimming instruction priority is "high", indicating that dimming adjustment is required immediately.

[0079] See also Figure 4 , the light source control module includes:

[0080] The brightness offset judgment submodule determines whether the dimming cycle deviates from the brightness adaptation strategy and obtains the brightness control offset status based on the dimming command priority, combined with the initial brightness setting value and real-time brightness feedback value collected by the lamp driver power supply, and compared with the set brightness offset threshold;

[0081] According to the dimming command priority, after receiving the dimming command priority of "high", the initial brightness setting value and the real-time brightness feedback value collected in real time by the lamp driver power supply are combined. For example, a command is sent to the lamp to set its brightness to 400 lux, and the real-time brightness value fed back by the lamp driver power supply through the built-in sensor is 380 lux; these two values ​​are compared to calculate the absolute deviation between the actual brightness feedback value and the initial setting value (for example, |380lux-400lux|=20lux); then, this absolute deviation is compared with the set brightness offset threshold. The brightness offset threshold is preset and is used to determine whether the brightness deviates from the limit of the expected range. The setting of this threshold With reference to the recommendations of the International Commission on Illumination (CIE) on visual comfort and tolerance for fluctuations in lamp performance, for example, through simulation experiments, it was verified that when the brightness deviation exceeds 5% of the initial setting value, the visual experience begins to be affected. Therefore, the brightness deviation threshold is set to 5% of the initial setting value, that is, 400lux×0.05=20lux; it is judged whether the current dimming cycle deviates from the brightness adaptation strategy. If the actual brightness deviation (20lux) is equal to or exceeds the brightness deviation threshold (20lux), it is determined to be a deviation. For example, the judgment result at this time is "deviation", and the final brightness control offset state is "deviation", indicating that there is a deviation in the brightness output of the indicator lamp that needs to be corrected.

[0082] The brightness timing correction submodule extracts the brightness adaptation rate and dimming duration from the lamp control library based on the brightness control offset state. Combining the brightness fluctuation amplitude with the lamp's thermal radiation density, it aggregates the differences in brightness adaptation efficiency and thermal radiation intensity for each lamp, identifies the brightness adaptation deviation level, and adjusts the brightness timing plan sequence based on the level range to construct a light source rhythm rearrangement plan.

[0083] After obtaining the brightness control offset state as "deviation", the brightness adaptation rate and dimming duration data of this type of lamp are extracted from the pre-built lamp control library. For example, from the lamp library with model "X-LED001", its average brightness adaptation rate is found to be 98%, and the ideal dimming duration is 3 seconds. The system combines the real-time monitored brightness fluctuation amplitude (for example, when the deviation state is detected, the brightness fluctuation amplitude is recorded to be 30 lux) with the thermal radiation density of the lamp. The thermal radiation density of the lamp is measured by an infrared sensor or calculated based on the lamp temperature and power model. For example, the measured thermal radiation density at this time is 1.2W / cm 2 Aggregate the brightness adaptation efficiency and thermal radiation intensity difference of each lamp. Brightness adaptation efficiency refers to the ratio of the time required for the lamp to reach the target brightness to the ideal time during the actual dimming process, while thermal radiation intensity difference refers to the current thermal radiation density of the lamp and the normal operating thermal radiation density (for example, 1.0W / cm 2, obtained through long-term operation data statistics), and aggregate the two into a single measurement value through weighted averaging (for example, 0.7×brightness adaptation efficiency + 0.3×thermal radiation intensity difference); identify the brightness adaptation deviation level based on the aggregated measurement value, and the deviation level is divided into three intervals: "slight deviation" (measurement value less than 0.1), "moderate deviation" (measurement value between 0.1 and 0.3) and "severe deviation" (measurement value greater than 0.3). The level intervals are set based on a large amount of experimental data and engineer experience. For example, if the calculated aggregated measurement value is 0.25, it is identified as "moderate deviation"; adjust the order of the brightness timing plan according to this level range. For lamps with a "moderate deviation" level, give priority to arranging their brightness adjustment in the next dimming cycle and allocate them a more compact dimming time. For example, the original 3-second dimming time is shortened to 2.5 seconds to speed up the response speed, and finally construct a light source rhythm rearrangement plan for the lamp.

[0084] The light source synchronization instruction acquisition submodule calls the light source rhythm rearrangement plan, collects the brightness start time and synchronization deviation reference value of the current lamp and adjacent lamps in the lamp control gateway, determines whether the rearrangement plan causes brightness misalignment and overlap, and obtains the light source coordination control instruction;

[0085] Call the light source rhythm rearrangement plan, and collect the brightness start-up time of the current lamp and the adjacent lamps in real time through the lamp control gateway (for example, an intelligent gateway based on the DALI protocol). For example, the brightness start-up time of the current lamp (ID: L001) is 10:00:00.500, and the brightness start-up time of the adjacent lamp (ID: L002) is 10:00:00.580; at the same time, call the preset synchronization deviation reference value, which defines the maximum acceptable time difference between the brightness start-up times of adjacent lamps. Its setting refers to the human eye's perception threshold of light changes, as well as the need to avoid visual jumps and improve overall lighting uniformity. For example, according to visual psychology research and multiple laboratory tests, when the brightness start-up time difference of adjacent lamps exceeds 100 milliseconds (ms), the human eye will perceive a slight Synchronization misalignment: To ensure a good user experience, the synchronization deviation baseline value is set to 70 milliseconds. To determine whether the rearrangement scheme causes brightness misalignment and overlap, the absolute time difference between the brightness start-up time of the current lamp and the adjacent lamp is calculated (for example, |10:00:00.580-10:00:00.500|=80ms), and compared with the synchronization deviation baseline value (70ms). If the time difference is greater than the baseline value, it is determined that brightness misalignment has occurred. For example, if the time difference is 80ms at this time and is greater than 70ms, it is determined that brightness misalignment has occurred. Based on the judgment result, a corresponding light source coordination control instruction is generated, which includes adjusting the brightness start-up time of a specific lamp. For example, instructing L002 to start 30 milliseconds in advance so that the start-up time difference between it and L001 is controlled within 50 milliseconds.

[0086] See also Figure 5 , the anomaly detection module includes:

[0087] The current fluctuation identification submodule calls the light source coordination control instruction, extracts the current fluctuation diagram in the lamp operation state, analyzes the amplitude change, frequency fluctuation and lamp operation parameters of the current waveform, compares the amplitude difference of the current fluctuation in the area, and uses the formula:

[0088]

[0089] Get the current fluctuation coefficient value;

[0090] Among them, K A represents the current fluctuation coefficient value, n represents the total number of current sampling points analyzed, I i represents the actual current amplitude at the i-th sampling point, Represents the average value of the current amplitude sequence under the current lamp operating state, P i Represents the instantaneous active power corresponding to the i-th sampling point, Δf i Represents the frequency offset detected at the i-th sampling point;

[0091] After receiving the light source coordination control command, the high-precision current sensor is used to extract the current fluctuation graph data of the lamp operating status from the lamp driving power supply in real time at a sampling frequency of every 1 millisecond (ms). For example, in a sampling period of 1000 milliseconds, a total of 1000 current sampling point data are obtained; then the amplitude change, frequency fluctuation and lamp operating parameters of the current waveform are analyzed. The specific analysis steps include: calculating the deviation of the current amplitude of each sampling point relative to its average value within the cycle, analyzing the spectrum of the current signal through fast Fourier transform (FFT), identifying the offset of its main frequency and harmonic components, and recording the current waveform. The instantaneous active power corresponding to the current. For example, the average current amplitude of a lamp in one cycle is 0.5A, but some sampling points have an instantaneous deviation of 0.05A. At the same time, frequency analysis detects a frequency offset of 0.1Hz in the 50Hz main frequency. Compare the amplitude differences of current fluctuations in the area. By comparing the current fluctuation amplitude of the current lamp with the average current fluctuation amplitude of normally operating lamps in the same area, for example, if the current fluctuation amplitude of the current lamp is 0.05A, and the average fluctuation amplitude of lamps in the same area is 0.02A, the difference is 0.03A, to identify potential anomalies. Use the formula: Get the current fluctuation coefficient value; where K A Represents the current fluctuation coefficient value. The larger the value, the more significant the current fluctuation anomaly. n represents the total number of current sampling points analyzed. For example, if 1000 points are sampled in one cycle, then n = 1000. I irepresents the actual current amplitude at the i-th sampling point, which is measured in real time by the current sensor. For example, the current amplitude at the first sampling point is 0.51A; Represents the average value of the current amplitude sequence in the current lamp operation state, which is obtained by sampling I i Perform arithmetic averaging to obtain, for example, the average current amplitude is calculated to be 0.50A; P i Represents the instantaneous active power corresponding to the i-th sampling point. This value is measured synchronously by a power sensor or calculated by multiplying the instantaneous voltage and current. For example, the instantaneous active power at the first sampling point is 30W; Δf i Represents the frequency offset detected at the i-th sampling point. This value is obtained by frequency analysis of the current waveform. For example, a frequency offset of 0.1 Hz detected at a sampling point indicates that the main frequency deviates by 0.1 Hz from the standard frequency of 50 Hz.

[0092] Table 2: Example of data from five consecutive current sampling points of a lamp

[0093]

[0094] See Table 2, assuming Select 5 consecutive sampling points to calculate the current fluctuation coefficient K A Calculation, assuming the total number of sampling points n = 1000, then calculate the summation items one by one:

[0095] The summation term calculation of the first sampling point:

[0096] The summation term calculation of the second sampling point:

[0097] The summation term calculation of the third sampling point:

[0098] The summation term calculation of the 4th sampling point:

[0099] The summation term calculation of the 5th sampling point:

[0100] Assuming that the average value of the summation items of the remaining 995 sampling points is 0, the total sum is 0.00255 + (-0.00270) + 0.00738 + 0 + (-0.00552) + ... = 0.00171;

[0101] Therefore, the current fluctuation coefficient value K A Calculation: The benefit of the formula is that, by normalizing the deviation of the current amplitude from the average value and combining the instantaneous active power and the square of the frequency offset as the denominator, the formula can more comprehensively reflect the complexity of current fluctuations and their potential impact on system stability. In particular, when power and frequency are abnormal, the denominator will increase significantly, thereby more sensitively identifying abnormal conditions and providing an accurate quantitative indicator for subsequent abnormality judgment. The result K A =0.00000171 indicates that the current fluctuation coefficient value is very close to zero, which means that the current fluctuation of the current lamp is in an extremely small, nearly ideal stable state, far below the considered abnormal threshold (for example, 0.001). This value will serve as the key input of the temperature mutation judgment submodule, indicating that there is no significant abnormality in the current level of the current lamp.

[0102] The temperature mutation judgment submodule identifies the original temperature information of the lamp based on the current fluctuation coefficient value, extracts the temperature jump amplitude and frequency, analyzes the deviation from the median value of the temperature fluctuation range, and obtains the temperature jump comparison value;

[0103] After obtaining the current fluctuation coefficient value of 0.00000171, the original temperature information inside the lamp is immediately identified. For example, the temperature data stream of the key components of the lamp is continuously obtained at a frequency of once per second through the built-in digital temperature sensor of the lamp. For example, the real-time temperature is 48°C; the system accurately extracts the temperature jump amplitude and frequency. The temperature jump is defined as a temperature change of more than 5°C within 10 consecutive seconds. For example, if the temperature rises from 48°C to 54°C within 8 seconds, it is recorded as a jump with a jump amplitude of 6°C; the system analyzes the median of the temperature fluctuation range. The median value of the temperature fluctuation range is the average temperature obtained by statistically analyzing the temperature data of the lamp in normal operation in the past 24 hours and removing the abnormal values. For example, the median temperature of the normal operation of the lamp is calculated to be 45°C, and the deviation between the current temperature (48°C) and the median value is 48°C-45°C=3°C. The extracted temperature jump amplitude, frequency and deviation from the median value are comprehensively evaluated to obtain the temperature jump contrast value. For example, the value is 0.08, indicating that the temperature has a slight fluctuation, but has not yet reached the level of serious abnormality.

[0104] The abnormal lamp screening submodule extracts the lamp number, operation time sequence and coverage range involved in the light source coordination control instruction based on the temperature jump comparison value, identifies the abnormal intensity, and maps it to the light source control number to obtain the abnormal lamp identification;

[0105] According to the temperature jump contrast value, the numbers of the lamps involved in the light source coordination control instruction, their operating time series and coverage range are extracted. For example, the instruction involves lamps L001, L002, and L003, the operating time series is the past 24 hours, and the coverage range is area A; combined with the previously calculated current fluctuation coefficient value (for example, 0.00000171) and the current temperature jump contrast value (for example, 0.08), the abnormal intensity is comprehensively identified. The abnormal intensity is calculated through a multi-factor weighted model. For example, abnormal intensity = 0.7×temperature jump contrast value + 0.3×current fluctuation coefficient value×1000, then the abnormal intensity of a certain lamp is 0.7×0.08+0.3×0.00000171×1000≈0.056+0.000513≈0.0565, the number is 0. Higher values ​​indicate more significant abnormalities. Abnormal lamps are classified according to preset abnormal intensity thresholds. For example, an intensity value less than 0.05 is "normal," 0.05 to 0.1 is "mild abnormal," 0.1 to 0.2 is "moderate abnormal," and greater than 0.2 is "severe abnormal." The thresholds are determined based on factors such as the expected lifespan of the lamps, maintenance costs, and user comfort, through extensive on-site data analysis and expert review. For example, the abnormal intensity of this lamp is 0.0565, which is judged to be "mildly abnormal." The identified abnormal lamp (for example, L001) is mapped to a light source control number, for example, mapped to a unique control ID "AreaA_Light_001_Anomaly," and ultimately the abnormal lamp identification is obtained, indicating that the lamp has a mild abnormality that requires attention.

[0106] See also Figure 6 , the brightness optimization module includes:

[0107] The lamp identification extraction submodule extracts the brightness response time and abnormal event number from the lamp log based on the abnormal lamp identification, identifies the response time period corresponding to the number, and maps it with the lamp number to generate a lamp response tag set;

[0108] Upon receiving the abnormal luminaire identifier "AreaA_Light_001_Anomaly," the system extracts its brightness response time data and abnormal event number from the detailed operation log for the luminaire over the past period. For example, the log shows that the luminaire's brightness response time was 200 milliseconds (ms) when event "EVT20240308-001" occurred. The system identifies the specific brightness response time period (e.g., the time span from the issuance of a brightness command to the stabilization of the brightness at the target value) corresponding to each abnormal event number (e.g., "EVT20240308-001"). This time period represents the luminaire's actual response speed to the dimming command. The identified response time period is mapped and combined with the corresponding luminaire number. For example, "AreaA_Light_001_Anomaly" is associated with the 200 millisecond response time of event "EVT20240308-001," forming a structured data record. Ultimately, a luminaire response tag set is generated, containing each luminaire abnormal event and its corresponding brightness response time, providing basic data for subsequent brightness optimization.

[0109] The brightness response delay calculation submodule calls the lamp response tag set, extracts the brightness intervention start time and adaptation end time of the corresponding lamp, analyzes the time difference between the two and matches it to the lamp number, identifies the corresponding data of the lamp number and response delay, and obtains the lamp response delay list;

[0110] Call the lamp response tag set, and then extract the brightness intervention start time and adaptation end time of each corresponding lamp from the tag set. For example, for the lamp "AreaA_Light_001_Anomaly", the intervention start time of a brightness adjustment is recorded as 10:30:00.120, and its brightness adaptation end time is 10:30:00.350. The adaptation end time is defined as the moment when the lamp brightness reaches the target value and remains stable; analyze the time difference between the two, and subtract the intervention start time from the adaptation end time. The actual brightness response delay of the lamp can be accurately calculated based on the time, for example, 10:30:00.350-10:30:00.120=230ms; the calculated response delay is matched with the corresponding lamp number, for example, the 230 millisecond delay data is bound to the lamp "AreaA_Light_001_Anomaly", and finally each lamp number and its corresponding response delay data are identified, and a lamp response delay list containing the response delays of all lamps is obtained, providing a quantitative basis for refined control.

[0111] The brightness control instruction generation submodule re-arranges the brightness priority sequence according to the delay list of lamp response and the original response time, and assigns the adjusted brightness parameter value based on the lamp number to obtain the brightness control instruction of the key area;

[0112] According to the lamp response delay list, the delay data in the list is evaluated against the preset original reaction time. The original reaction time is the theoretical optimal response time measured when the lamp leaves the factory. For example, for the lamp "AreaA_Light_001_Anomaly", its original reaction time is 150 milliseconds. The brightness priority sequence is rearranged according to the delay degree of each lamp. The delay degree is defined as the ratio of the actual response delay to the original reaction time. For example, for a lamp with a delay of 230 milliseconds and an original reaction time of 150 milliseconds, the delay degree is 230 / 150≈1.53. The higher the delay degree, the higher the brightness priority. , the higher the priority, all lamps are arranged in descending order according to the delay degree, forming a brightness control sequence that needs to be processed first; combined with the lamp number, the adjusted brightness parameter value is assigned to each lamp in the sequence. For lamps with a higher delay degree, a brightness pre-compensation mechanism is introduced. For example, if a lamp is found to have a significant response delay, in order to ensure that it reaches the required brightness at the target time, a dimming command is sent 50 milliseconds in advance, or its target brightness value is fine-tuned by 1% in a short period of time to speed up the response. Finally, the brightness control command for key areas is obtained to optimize the brightness response speed and synchronization for specific areas and ensure uniform overall lighting effects.

[0113] The above are merely preferred embodiments of the present invention and do not limit the present invention in any other form. Any technician familiar with the profession may use the technical content disclosed above to change or modify it into an equivalent embodiment with equivalent changes and apply it to other fields. However, any simple modification, equivalent change and modification made to the above embodiment based on the technical essence of the present invention without departing from the content of the technical solution of the present invention shall still fall within the scope of protection of the technical solution of the present invention.

Claims

1. An LED ceiling lamp control system based on dynamic light source adjustment, characterized in that: The system comprises: The brightness sensing module uses measurement data from the ambient light sensor and the lamp's built-in temperature control unit, combined with changes in indoor and outdoor light intensity and the lamp's thermal radiation distribution. By analyzing the relationship between brightness fluctuations and temperature ranges within a unit time, it obtains the lamp's operating load value. The dimming decision module identifies the brightness demand and real-time output deviation in the current dimming cycle based on the operating load value of the lamp, determines whether the dimming trigger threshold is reached by comparing the ratio of the two, and generates a dimming instruction priority; The light source control module determines whether there is a brightness offset segment by comparing the initial brightness setting value of the lamp with the real-time brightness feedback value according to the dimming instruction priority, and performs brightness synchronization determination of adjacent lamps to generate a light source coordination control instruction; The abnormality detection module calls the light source coordination control instruction, identifies the concentrated occurrence of overload areas and temperature rise points by analyzing the current fluctuation diagram and temperature mutation points in the operating status of the lamp, filters abnormal lamps and associates the adjustment range to obtain the abnormal lamp identification.

2. The LED ceiling lamp control system based on dynamic light source adjustment according to claim 1, characterized in that: The lamp operating load value includes brightness distribution uniformity, temperature change amplitude, and dimming cycle brightness adaptation rate; the dimming instruction priority includes brightness demand growth rate, dimming adaptability, and load balancing efficiency; the light source coordination control instruction includes adjacent lamp brightness deviation, brightness offset judgment value, and dimming cycle correction factor; the abnormal lamp identification includes abnormal brightness segment number, temperature mutation identification label, and current concentration area identification.

3. The LED ceiling lamp control system based on dynamic light source adjustment according to claim 1, characterized in that: The brightness perception module includes: The brightness detection submodule extracts the light sensing data and temperature control feedback signal frames based on the measurement data of the ambient light sensor and the built-in temperature control unit of the lamp. It analyzes the matching relationship between the light intensity and the temperature signal, counts the number of brightness fluctuations per unit time, and generates a brightness fluctuation sequence table for the dimming cycle. The brightness adaptation submodule extracts the brightness start and end values ​​and timestamps in the operating state of the lamp based on the dimming cycle brightness fluctuation sequence table, identifies the amplitude and time interval of continuous brightness changes, summarizes the average brightness adaptation rate of the lamp and the number of brightness fluctuations in the dimming cycle, and generates a set of lamp brightness adaptation indicators; The load evaluation submodule identifies the brightness requirements and real-time output data within each dimming cycle based on the lamp brightness adaptation index set, and performs numerical calculations on the lamp load status according to the ratio of the brightness adaptation requirement to the available brightness segment per unit time to obtain the lamp operating load value.

4. The LED ceiling lamp control system based on dynamic light source adjustment according to claim 3, characterized in that: The dimming decision module includes: The brightness adaptation calculation submodule extracts the brightness demand per unit time and the upper limit of the brightness of the lamp based on the operating load value of the lamp, identifies the ratio of the brightness demand per cycle to the theoretical adaptation value, and obtains the brightness adaptation value; The brightness deviation determination submodule calls the brightness adaptation value, counts the brightness demand and real-time output during the dimming period in each cycle, analyzes the difference in their ratio, and compares it with a fixed brightness reference ratio to obtain a brightness deviation ratio; The dimming trigger identification submodule identifies the dimming cycle load according to the brightness deviation ratio, combined with the original brightness trend and the total brightness demand of the current dimming cycle, and compares it with the set dimming trigger threshold to obtain the dimming instruction priority.

5. The LED ceiling lamp control system based on dynamic light source adjustment according to claim 4, characterized in that: The light source control module includes: The brightness offset judgment submodule determines whether the dimming cycle deviates from the brightness adaptation strategy and obtains the brightness control offset status based on the dimming command priority, combined with the initial brightness setting value and real-time brightness feedback value collected by the lamp driver power supply, and compared with the set brightness offset threshold; The brightness timing correction submodule extracts the brightness adaptation rate and dimming duration from the lamp control library based on the brightness control offset state. Combining the brightness fluctuation amplitude with the lamp thermal radiation density, it aggregates the differences in brightness adaptation efficiency and thermal radiation intensity for each lamp, identifies the brightness adaptation deviation level, and adjusts the brightness timing plan sequence based on the level range to construct a light source rhythm rearrangement plan. The light source synchronization instruction acquisition submodule calls the light source rhythm rearrangement scheme, collects the brightness start time and synchronization deviation reference value of the current lamp and adjacent lamps in the lamp control gateway, determines whether the rearrangement scheme causes brightness dislocation and overlap, and obtains the light source coordination control instruction.

6. The LED ceiling lamp control system based on dynamic light source adjustment according to claim 5, characterized in that: The anomaly detection module includes: The current fluctuation identification submodule calls the light source coordination control instruction, extracts the current fluctuation diagram in the lamp operation state, analyzes the amplitude change, frequency fluctuation and lamp operation parameters of the current waveform, compares the amplitude difference of the current fluctuation in the area, and obtains the current fluctuation coefficient value; The temperature mutation judgment submodule identifies the original temperature information of the lamp based on the current fluctuation coefficient value, extracts the temperature jump amplitude and frequency, analyzes the deviation from the median value of the temperature fluctuation range, and obtains the temperature jump comparison value; The abnormal lamp screening submodule extracts the lamp number, operation time sequence and coverage range involved in the light source coordination control instruction based on the temperature jump comparison value, identifies the abnormal intensity, maps it to the light source control number, and obtains the abnormal lamp identification.

7. The LED ceiling lamp control system based on dynamic light source adjustment according to claim 1, characterized in that: The system also includes a brightness optimization module: Based on the abnormal lamp identification, the brightness optimization module calls the original brightness adjustment record, extracts the time difference between the brightness intervention delay and the adaptation result, compares the current lamp number with the original response time, adjusts the trigger priority sequence, and obtains the brightness control instruction of the key area; The key area brightness control instruction includes brightness response priority, original intervention delay data, and control lamp number matching value.

8. The LED ceiling lamp control system based on dynamic light source adjustment according to claim 7, characterized in that: The brightness optimization module includes: The lamp identification extraction submodule extracts the brightness response time and abnormal event number from the lamp log based on the abnormal lamp identification, identifies the response time period corresponding to the number, and maps and combines it with the lamp number to generate a lamp response tag set; The brightness response delay calculation submodule calls the lamp response tag set, extracts the brightness intervention start time and adaptation end time of the corresponding lamp, analyzes the time difference between the two and matches it to the lamp number, identifies the corresponding data between the lamp number and the response delay, and obtains the lamp response delay list; The brightness control instruction generation submodule rearranges the brightness priority sequence according to the delay degree based on the lamp response delay list and the original response time, and allocates the adjusted brightness parameter value in combination with the lamp number to obtain the brightness control instruction for the key area.

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