LED lamp energy-saving control system and method

Abstract

The invention discloses an LED lamp energy-saving control system and method, and relates to the technical field of LED illumination. The LED lamp energy-saving control system comprises a fault positioning module, an operation state analysis module and an environment adaptability evaluation module. According to the method, the change condition of PWM adjusting parameters of the LED lamp in the PWM dynamic dimming process is monitored in real time, fault positioning and prompting are carried out based on the change condition of the PWM adjusting parameters, then the external interference condition of the LED lamp in the PWM dynamic dimming process is analyzed, and finally the influence degree of the luminous efficiency of the LED lamp in the fault positioning process is analyzed. Therefore, the fault positioning efficiency of the LED lamp in the dynamic dimming process is improved, and the problem that the relevance between the fault positioning efficiency and the light emitting efficiency of the LED lamp in the dynamic dimming process is not high in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of LED lighting, and particularly to an energy-saving control system and method for LED lamps. Background Art

[0002] With the increasingly severe global energy crisis and the continuous improvement of environmental protection awareness, energy conservation and emission reduction have become an inevitable trend in the development of today's society. As a new type of lighting device, LED (Light Emitting Diode) lamps have gradually replaced traditional lighting lamps and become the mainstream products in the lighting field due to their advantages such as high efficiency, energy conservation, and environmental protection. However, although LED lamps themselves have high energy efficiency, in actual applications, how to further improve their energy-saving effect and reduce energy consumption is still an urgent problem to be solved. Against this background, energy-saving control methods for LED lamps have emerged. Such methods precisely adjust parameters such as the brightness, color temperature, and power of LED lamps by adopting advanced control technologies and algorithms to achieve the best lighting effect and the lowest energy consumption.

[0003] The existing technology compares the detected ambient brightness value with a preset critical illumination brightness value, controls the on / off state and brightness adjustment of LED lamps according to the comparison result, and automatically detects lamp failures and issues warning messages to achieve energy-saving effects and fault warnings.

[0004] For example, a method for controlling an LED lamp, a controller, an LED lamp, and its control system disclosed in the invention patent announcement with the publication number: CN112637995B includes: the controller respectively controls the on / off of the positive and negative half-cycle signals VA and VB of a single live wire and generates two zero-crossing interruption signals INTA and INTB; controls the lengths of delays t1 and t2 according to the digital signal to be transmitted, thereby controlling the digital signal transmission of the AC voltage waveform.

[0005] For example, a method and system for energy-saving control of an LED lamp disclosed in the patent application with the publication number: CN118945927A includes: obtaining the ambient light intensity of the environment where the LED lamp is located; obtaining the light intensity level parameter of the environment where the LED lamp is located through the ambient light intensity; respectively evaluating the membership degree of the environment where the LED lamp is located at different light intensity levels based on the light intensity level parameter; obtaining the target output brightness of the LED lamp by using the membership degree of the environment where the LED lamp is located at different light intensity levels; adjusting the output brightness of the LED lamp according to the target output brightness.

[0006] However, in the process of implementing the technical solutions of the present invention in the embodiments of the present application, it is found that the above technologies have at least the following technical problems: In the prior art, existing LED lighting control systems often adopt fixed brightness or working modes and cannot adjust the brightness and working modes of the lighting area in real time according to changes in ambient light or other sensor inputs (such as human body sensing, sound sensing). Secondly, during the dynamic dimming control process, due to the system involving multiple components and complex control logics, fault location becomes relatively difficult, which leads to an increase in the delay of fault repair, thereby limiting the energy-saving potential of LED lamps. There is a problem that the correlation between the fault location efficiency and the luminous efficiency of LED lamps during the dynamic dimming process is not high. Summary of the Invention

[0007] Embodiments of the present application provide an energy-saving control system and method for LED lamps to solve at least one of the problems mentioned in the above background art.

[0008] Embodiments of the present application provide an energy-saving control system for LED lamps, including: a fault location module, an operating state analysis module, and an environmental adaptability evaluation module; wherein, the fault location module is used to monitor the changes in the PWM adjustment parameters of the LED lamp in real time during the PWM dynamic dimming process, and at the same time perform fault location and prompt based on the changes in the PWM adjustment parameters; the operating state analysis module is used to analyze the external interference situation of the LED lamp during the PWM dynamic dimming process; the environmental adaptability evaluation module is used to analyze the influence degree of the luminous efficiency of the LED lamp during the fault location process.

[0009] Further, the method for monitoring the change of the PWM adjustment parameters of the real-time monitoring LED lamp during the PWM dynamic dimming process specifically includes the following steps: P1, obtaining the average surface temperature of the LED lamp during the dimming period. When the average surface temperature of the LED lamp is lower than the allowable surface temperature of the lamp in the database, execute P2; otherwise, prompt the preset personnel to adjust the high-level pulse width through an oscilloscope; P2, when the high-level duty cycle of the LED lamp during the dimming period is within the duty cycle fluctuation range in the database, continue to monitor the PWM dynamic dimming process and execute P3; otherwise, execute P4; P3, obtaining the output voltage fluctuation amplitude, the number of brightness stroboscopic times, and the effective fault location duration of the LED lamp during the dimming period, and obtaining the fault location influence index by combining the first fault location influence index weight factor and the first reference fault location data in the database; P4, obtaining the number of PWM frequency anomalies, and at the same time obtaining the output voltage fluctuation amplitude, the number of brightness stroboscopic times, and the effective fault location duration of the LED lamp during the dimming period, and obtaining the fault location influence index by combining the second fault location influence index weight factor and the second reference fault location data in the database; the PWM adjustment parameters include the PWM period and the PWM duty cycle; the first reference fault location data includes the maximum allowable output voltage fluctuation amplitude, the maximum allowable number of brightness stroboscopic times, and the maximum allowable effective fault location duration; the first fault location influence index weight factor includes the output voltage fluctuation amplitude weight factor, the brightness stroboscopic times weight factor, and the effective fault location duration weight factor; the second reference fault location data includes the maximum allowable number of PWM frequency anomalies and the first reference fault location data; the second fault location influence index weight factor includes the first fault location influence index weight factor and the PWM frequency anomaly number weight factor.

[0010] Further, the operation state analysis module includes an output parameter interference index acquisition unit, a main control unit, and a power management unit; the output parameter interference index acquisition unit: used to analyze the interference situation of the output parameters of the LED lamp in the current operation mode, and the output parameters include the brightness of the LED lamp and the color temperature of the LED lamp, and the operation mode includes a reading mode, a sleep mode, and a meeting mode; the main control unit: used to send a PWM frequency control instruction according to the obtained analysis result; the power management unit: used to dynamically adjust the power supply power of the high-efficiency LED module according to the control instruction of the main control unit.

[0011] Further, the analysis of the interference situation of the output parameters of the LED lamp in the current operating mode is as follows: respectively obtain the external interference data of the LED lamp in the current operating mode, and comprehensively analyze the reference external interference data and the external interference data weight factor in the database to obtain the external interference index, and accordingly obtain the output parameter interference index; the external interference index includes the first external interference index, the second external interference index and the third external interference index; the external interference data includes the ambient light intensity, the lamp surface temperature, the high-level duty cycle and the high-level duty cycle duration; the reference external interference data includes the reference ambient light intensity, the reference lamp surface temperature, the reference high-level duty cycle and the reference high-level duty cycle duration; the external interference data weight factor includes the ambient light intensity weight factor, the lamp surface temperature weight factor, and the relative weight factor of the high-level duty cycle and the duration; the output parameter interference index represents the quantization data of the degree of influence of the first external interference index, the second external interference index and the third external interference index on the dynamic dimming process; the first external interference index represents the result of correcting the difference between the ambient light intensity weight factor and the difference between the ambient light intensity and the reference ambient light intensity; the second external interference index represents the result of correcting the difference between the lamp surface temperature weight factor and the difference between the lamp surface temperature and the reference lamp surface temperature; the third external interference index represents the result of correcting the mutual influence degree between the high-level duty cycle deviation value and the high-level duty cycle duration deviation value by the relative weight factor of the high-level duty cycle and the duration.

[0012] Further, the specific steps for analyzing the influence degree of the luminous efficiency of the LED lamp in the fault location process include: N1, obtain the ambient humidity and the surface dust concentration of the LED lamp at the end of the fault location. When the ambient humidity is within the allowable range of the ambient humidity in the database and the surface dust concentration is within the allowable range of the surface dust concentration in the database, obtain the lamp surface temperature of the LED lamp at the end of the fault location and execute N2; N2, when the lamp surface temperature is less than the reference lamp surface temperature in the database, obtain the total input voltage and the average high-level signal duty cycle of the LED lamp at the end of the current analysis period, and at the same time combine the obtained output parameter interference index and the reference analysis data in the database to obtain the luminous efficiency evaluation index; the reference analysis data includes the reference total input voltage, the reference average high-level signal duty cycle, the total input voltage weight factor and the average high-level signal duty cycle weight factor; the luminous efficiency evaluation index represents the quantization data of the degree of influence of the output parameter interference index, the total input voltage and the average high-level signal duty cycle on the luminous efficiency of the LED lamp.

[0013] Further, the specific steps for correcting the PWM control parameters are as follows: L1, determine whether the obtained luminous efficiency evaluation index is not less than the preset luminous efficiency evaluation index in the database. If so, the fault location is completed; otherwise, execute L2; L2, obtain the deviation of the luminous efficiency evaluation index, and at the same time obtain the environmental humidity and dust concentration in the area where the LED lamp is located at the current evaluation moment; L3, when the environmental humidity is greater than the preset environmental humidity in the database, determine the dynamic dimming control loop as the brightness control loop, and at the same time increase the gain of the brightness control loop by increasing the gain setting with a preset amplitude on the brightness control loop; L4, when the dust concentration is greater than the preset dust concentration in the database, determine the dynamic dimming control loop as the temperature control loop, and at the same time use the reciprocal of the obtained gain as the slope adjustment amount of the dimming curve; L5, after correcting the PWM control parameters, re-obtain the deviation of the luminous efficiency evaluation index. When the re-obtained deviation of the luminous efficiency evaluation index is greater than 0, the correction of the PWM control parameters is completed; otherwise, return to step L2; the dynamic dimming control loop includes a brightness control loop and a temperature control loop.

[0014] The embodiment of the present application provides an energy-saving control method for an LED lamp, including the following steps: Step 1, monitor the change of the PWM adjustment parameter of the LED lamp in the PWM dynamic dimming process in real time, and at the same time perform fault location and prompt based on the change of the PWM adjustment parameter; Step 2, analyze the external interference situation of the LED lamp in the PWM dynamic dimming process; Step 3, analyze the influence degree of the luminous efficiency of the LED lamp in the fault location process.

[0015] One or more technical solutions provided in the embodiment of the present application have at least the following technical effects or advantages: 1. By monitoring the change of the PWM adjustment parameter of the LED lamp in the PWM dynamic dimming process in real time, performing fault location and prompt based on the change of the PWM adjustment parameter, then analyzing the external interference situation of the LED lamp in the PWM dynamic dimming process, and finally analyzing the influence degree of the luminous efficiency of the LED lamp in the fault location process, the effective analysis of internal interference factors and external interference factors in the fault location process is realized, and then the improvement of the fault location efficiency of the LED lamp in the dynamic dimming process is realized, effectively solving the problem that the correlation between the fault location efficiency and the luminous efficiency of the LED lamp in the dynamic dimming process in the prior art is not high.

[0016] 2. By separately obtaining the external interference data of the LED lamp in the current operating mode, and comprehensively analyzing it in combination with the reference external interference data and the external interference data weight factor in the database, the first external interference index, the second external interference index, and the third external interference index are obtained. Based on this, the output parameter interference index is obtained, thereby improving the accuracy of obtaining the output parameter interference index, and further realizing a more accurate analysis of the external interference factors during the dynamic dimming process of the LED lamp.

[0017] 3. By obtaining the surface temperature of the lamp when the fault location of the LED lamp ends, when the surface temperature of the lamp is lower than the reference lamp surface temperature in the database, the total input voltage and the average duty cycle of the high-level signal at the end of the current analysis period of the LED lamp are obtained. At the same time, in combination with the obtained output parameter interference index and the reference analysis data in the database, the luminous efficiency evaluation index is obtained, thereby improving the accuracy of obtaining the luminous efficiency evaluation index, and further realizing a more accurate analysis of the degree of interference on the luminous efficiency of the LED lamp during the fault location process.

[0018] 4. Through intelligent judgment and consideration of environmental interference factors, and combining fault location with luminous efficiency optimization, it can not only quickly locate faults but also optimize the luminous efficiency specifically. Secondly, by dynamically correcting the PWM control parameters, it helps to ensure that the LED lamp always maintains a stable luminous efficiency during the dynamic dimming process, improves the stability and reliability of the entire system, and achieves significant energy-saving effects. Furthermore, it effectively solves the problem that the correlation between the fault location efficiency and the luminous efficiency of LED lamps in the prior art during the dynamic dimming process is not high. Brief Description of the Drawings

[0019] Figure 1 It is a schematic structural diagram of an energy-saving control system for an LED lamp provided by an embodiment of the present application; Figure 2 It is a flowchart for correcting the PWM control parameters provided by an embodiment of the present application; Figure 3 It is a flowchart of an energy-saving control method for an LED lamp provided by an embodiment of the present application. Detailed Embodiments

[0020] Embodiments of the present application provide an energy-saving control system and method for LED lamps, which solve the problem in the prior art that the correlation between the fault location efficiency and the luminous efficiency of LED lamps is not high during the dynamic dimming process. The fault location module monitors the changes in the PWM adjustment parameters of the LED lamp in real time during the PWM dynamic dimming process, and at the same time determines whether to perform fault location and prompt based on the changes in the PWM adjustment parameters according to the obtained fault location influence index. Then, the operating state analysis module analyzes the external interference situation of the LED lamp during the PWM dynamic dimming process, and at the same time determines whether to perform automatic regulation of the PWM frequency according to the obtained output parameter interference index. Finally, the environmental adaptability evaluation module analyzes the influence degree of the luminous efficiency of the LED lamp during the fault location process, and at the same time determines whether to perform correction of the PWM control parameters according to the obtained luminous efficiency evaluation index, achieving an improvement in the fault location efficiency of the LED lamp during the dynamic dimming process.

[0021] The technical solution in the embodiments of the present application for solving the problem that the correlation between the fault location efficiency and the luminous efficiency of the above-mentioned LED lamps is not high during the dynamic dimming process is as follows: By monitoring the changes in the PWM adjustment parameters of the LED lamp in real time during the PWM dynamic dimming process, performing fault location and prompt based on the changes in the PWM adjustment parameters, then analyzing the external interference situation of the LED lamp during the PWM dynamic dimming process, and finally analyzing the influence degree of the luminous efficiency of the LED lamp during the fault location process, the effect of improving the fault location efficiency of the LED lamp during the dynamic dimming process is achieved.

[0022] To better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings of the specification and specific embodiments.

[0023] As Figure 1 shown, it is a schematic structural diagram of an energy-saving control system for LED lamps provided by an embodiment of the present application. An energy-saving control system for LED lamps provided by an embodiment of the present application includes: a fault location module, an operating state analysis module, and an environmental adaptability evaluation module; wherein, the fault location module is used to monitor the changes in the PWM adjustment parameters of the LED lamp in real time during the PWM dynamic dimming process, and perform fault location and prompt based on the changes in the PWM adjustment parameters; the operating state analysis module is used to analyze the external interference situation of the LED lamp during the PWM dynamic dimming process; the environmental adaptability evaluation module is used to analyze the influence degree of the luminous efficiency of the LED lamp during the fault location process.

[0024] It should be added that an energy-saving control system for an LED lamp also includes a high-efficiency LED module, an environmental sensor module, a communication module, a storage module, and a software algorithm module. Among them, the high-efficiency LED module adopts a new semiconductor material and packaging technology, with a light efficiency 30%-50% higher than that of traditional LEDs. It supports PWM (Pulse Width Modulation) dimming technology, reduces stroboscopic effects, extends service life, and has strong compatibility, enabling seamless integration with other modules.

[0025] The environmental sensor module integrates a light intensity sensor, a temperature sensor, a humidity sensor, a dust tester, and a human infrared sensor, which are used to monitor the environmental light intensity, the surface temperature of the lamp, the environmental humidity, the dust concentration, and the presence of people in real time. The sampling frequency of the sensors can reach over 10Hz, enabling real-time capture of environmental changes.

[0026] The communication module is used to achieve data communication between the system and external devices (such as mobile phone APPs, cloud servers). It can not only upload sensor data but also receive external instructions (such as remote dimming, operation mode switching).

[0027] The storage module is used to store system operation data (such as historical environmental light intensity, historical lamp surface temperature, historical environmental humidity, historical dust concentration), and supports the SPI interface with a read-write speed of over 10MB / s.

[0028] The software algorithm module generally includes: an adaptive dimming algorithm: adopting fuzzy logic control technology to achieve smooth transition in complex environments; an energy consumption optimization model: based on machine learning algorithms to dynamically adjust the working mode according to historical data and real-time parameters; a fault detection and repair mechanism: adopting anomaly detection algorithms (such as the Isolation Forest algorithm) to quickly identify faults and take corresponding measures; an intelligent scene mode: supporting user-defined scenarios to provide a highly personalized experience.

[0029] In this example, by monitoring the changes in the PWM (Pulse Width Modulation) adjustment parameters of the LED lamp during the dynamic dimming process in real time, through precise data analysis, the fault point can be quickly located and a fault prompt can be sent to the user. This ability of real-time monitoring and quick positioning greatly improves the maintenance efficiency and reduces the downtime of the lamp caused by faults. Secondly, the operation status analysis module not only analyzes the external interference situation of the LED lamp during the PWM dynamic dimming process but also combines the data of the fault location module to comprehensively evaluate the operation status of the lamp. In addition, the environmental adaptability evaluation module can evaluate the adaptability of the lamp under different environmental conditions, which helps to optimize the design and usage strategy of the lamp, improve its performance and lifespan in various environments, realizes the improvement of the fault location efficiency of the LED lamp during the dynamic dimming process, and further achieves an efficient, energy-saving, and personalized lighting experience.

[0030] Further, monitor the changes of the PWM adjustment parameters of the LED lamp during the PWM dynamic dimming process. The specific steps include: P1: Obtain the average surface temperature of the lamp during the dimming period. When the average surface temperature of the lamp is lower than the allowable surface temperature of the lamp in the database (set by the manufacturer of the LED lamp), execute P2; otherwise, prompt the preset personnel to adjust the high-level pulse width through an oscilloscope. P2: When the high-level duty cycle of the LED lamp during the dimming period is within the duty cycle fluctuation range in the database, continue to monitor the PWM dynamic dimming process and execute P3; otherwise, execute P4. P3: Obtain the output voltage fluctuation amplitude, the number of brightness stroboscopic times, and the effective fault location duration of the LED lamp during the dimming period, and obtain the fault location influence index by combining the first fault location influence index weight factor and the first reference fault location data in the database. P4: Obtain the number of PWM frequency anomalies, and at the same time obtain the output voltage fluctuation amplitude, the number of brightness stroboscopic times, and the effective fault location duration of the LED lamp during the dimming period, and obtain the fault location influence index by combining the second fault location influence index weight factor and the second reference fault location data in the database. The PWM adjustment parameters include the PWM period and the PWM duty cycle. The first reference fault location data includes the maximum allowable output voltage fluctuation amplitude, the maximum allowable number of brightness stroboscopic times, and the maximum allowable effective fault location duration. The first fault location influence index weight factor includes the output voltage fluctuation amplitude weight factor, the brightness stroboscopic times weight factor, and the effective fault location duration weight factor. The second reference fault location data includes the maximum allowable number of PWM frequency anomalies and the first reference fault location data. The second fault location influence index weight factor includes the first fault location influence index weight factor and the PWM frequency anomaly number weight factor.

[0031] Among them, the specific limit expression of the fault location influence index is: ; In the formula, t is the number of the dimming period, , T is the total number of dimming periods, represents the fault location influence index of the LED lamp in the t-th dimming period, represents the average surface temperature of the lamp of the LED lamp in the t-th dimming period, represents the allowable surface temperature of the lamp, represents the high-level duty cycle of the LED lamp in the t-th dimming period, represents the duty cycle fluctuation range, represents the output voltage fluctuation amplitude weight factor, represents the output voltage fluctuation amplitude of the LED lamp in the t-th dimming period, represents the maximum allowable output voltage fluctuation amplitude, represents the weight factor of the brightness stroboscopic frequency, represents the number of brightness stroboscopic times of the LED lamp in the t-th dimming period, represents the maximum allowable number of brightness stroboscopic times, represents the weight factor of the effective fault location duration, represents the effective fault location duration of the LED lamp in the t-th dimming period, represents the maximum allowable effective fault location duration, represents the weight factor of the abnormal PWM frequency times, represents the number of abnormal PWM frequency times of the LED lamp in the t-th dimming period, represents the maximum allowable number of abnormal PWM frequency times.

[0032] In this embodiment, when or is not satisfied, it indicates that the performance indicators of the LED lamp are relatively stable, the fault characteristics are relatively obvious, and the fault location is relatively easy. Therefore, the fault location influence index is not calculated; the maximum allowable number of abnormal PWM frequency times, the maximum allowable output voltage fluctuation amplitude, the maximum allowable number of brightness stroboscopic times, and the maximum allowable effective fault location duration are respectively represented by the maximum values of the historical abnormal PWM frequency times, historical output voltage fluctuation amplitude, historical brightness stroboscopic times, and historical effective fault location duration of the LED lamp in the historical dimming period in the database.

[0033] The unit of the number of abnormal PWM frequency times and the maximum allowable number of abnormal PWM frequency times is the same, both are times (i.e., the number of abnormalities in a dimming period), the unit of the output voltage fluctuation amplitude and the maximum allowable output voltage fluctuation amplitude is the same, both are volts (V), the unit of the number of brightness stroboscopic times and the maximum allowable number of brightness stroboscopic times is the same, both are times (i.e., the number of stroboscopies in a dimming period), and the unit of the effective fault location duration and the maximum allowable effective fault location duration is the same, both are seconds (S).

[0034] It should be understood that the output voltage fluctuation amplitude, the number of brightness stroboscopic times, the effective fault location duration, and the number of abnormal PWM frequency times are related parameters of different types of physical quantities. Taking the square root helps to combine these parameters with different dimensions into a relatively reasonable and comparable comprehensive index, making the obtained fault location influence index more accurate and reliable, and thus effectively improving the fault location efficiency of the LED lamp in the dynamic dimming process.

[0035] The weight factors of output voltage fluctuation amplitude, number of brightness strobing times, effective fault location duration, and number of PWM frequency anomalies are respectively the degrees of influence of the preset output voltage fluctuation amplitude, number of brightness strobing times, effective fault location duration, and number of PWM frequency anomalies in the database on the PWM dynamic dimming process. Specifically, the database stores preset weight factors corresponding to the output voltage fluctuation amplitude, number of brightness strobing times, effective fault location duration, and number of PWM frequency anomalies. There is a preset mapping relationship between these weight factors and the output voltage fluctuation amplitude, number of brightness strobing times, effective fault location duration, and number of PWM frequency anomalies. This mapping relationship can be one-to-one or many-to-one. For example, in practical applications, the real-time output voltage fluctuation amplitude, number of brightness strobing times, effective fault location duration, and number of PWM frequency anomalies can be input into this mapping relationship to quickly obtain the corresponding weight factors.

[0036] In this example, the value ranges of the weight factors of output voltage fluctuation amplitude, number of brightness strobing times, effective fault location duration, and number of PWM frequency anomalies are usually from 0 to 1. When The fault location influence index represents the quantitative data of the degree of influence of the combined action of output voltage fluctuation amplitude, number of brightness strobing times, and effective fault location duration on the PWM dynamic dimming process. The sum of the weight factors of output voltage fluctuation amplitude, number of brightness strobing times, and effective fault location duration is 1. When The fault location influence index represents the quantitative data of the degree of influence of the combined action of number of PWM frequency anomalies, output voltage fluctuation amplitude, number of brightness strobing times, and effective fault location duration on the PWM dynamic dimming process. The sum of the weight factors of output voltage fluctuation amplitude, number of brightness strobing times, effective fault location duration, and number of PWM frequency anomalies is 1.

[0037] The aforementioned database is a database established before the design of the LED lamp energy-saving control system for storing various setting data. The database includes but is not limited to preset fault location influence indices, preset output parameter interference indices, preset luminous efficiency evaluation indices, and dimming time periods. The various values therein are directly set by technical personnel. Among them, the setting basis of the preset fault location influence index can be determined according to the actual dynamic dimming scenario of the LED lamp. For example, the preset fault location influence index is represented by the result of summing and averaging the historical fault location influence indices of the LED lamp in the historical dimming time period in the database. In addition, the various values in the database can be set and fine-tuned by technical personnel according to actual debugging.

[0038] It should be understood that when When the output voltage fluctuation amplitude, the number of brightness strobing times, the effective fault location duration, and the number of abnormal PWM frequency increase, the fault location influence index increases. Among them, when the output voltage fluctuation amplitude increases, the number of brightness strobing times of the LED lamp often increases accordingly. This is because the instability of the voltage will cause fluctuations in the LED drive current, thereby causing changes in brightness.

[0039] The increase in the number of strobing times will prolong the fault location time because the system needs more time and data to accurately judge the type and location of the fault. At the same time, strobing may also mask other fault signals, making fault location more difficult and prolonging the fault location time. This may lead to abnormal fluctuations in the PWM frequency because the adjustment made by the system to maintain lighting quality may exceed the normal range, and this instability will further exacerbate the brightness strobing and the decline in luminous efficiency of the LED lamp.

[0040] The indirect influence relationships among the above independent variables act together on the fault location influence index. At the same time, the increase of these independent variables will also directly affect the luminous efficiency of the LED lamp. For example, both brightness strobing and abnormal PWM frequency will lead to a decline in luminous efficiency. Therefore, by deeply understanding the indirect influence relationships among the independent variables and taking effective measures for optimization, the improvement of the fault location efficiency of the LED lamp during the dynamic dimming process can be achieved.

[0041] Furthermore, the specific process of fault location and prompt based on the change of PWM adjustment parameters is as follows: H1, judge whether the obtained fault location influence index is not greater than the preset fault location influence index in the database. If so, continue to monitor the PWM dynamic dimming process; otherwise, execute H2; H2, if the deviation of the obtained fault location influence index is less than the preset fault location influence index deviation in the database, prompt the user to perform power-off maintenance; H3, if the deviation of the obtained fault location influence index is not less than the preset fault location influence index deviation in the database, prompt the user to replace the LED lamp; the deviation of the fault location influence index represents the difference between the obtained fault location influence index and the preset fault location influence index.

[0042] In this embodiment, by real-time monitoring the parameter changes in the PWM dynamic dimming process, potential fault signals can be detected in time, which can significantly reduce the inconvenience brought to users by lamp failures. At the same time, the hierarchical response strategy also enables users to choose appropriate maintenance methods according to their own situations. It can not only quickly locate and handle faults when they occur, but also improve the accuracy and efficiency of fault location by real-time monitoring and analyzing the change trend of PWM adjustment parameters.

[0043] Further, the operation status analysis module includes an output parameter interference index acquisition unit, a main control unit, and a power management unit; Output parameter interference index acquisition unit: used to analyze the interference situation of the output parameters of the LED lamp in the current operation mode, and the output parameters include the brightness of the LED lamp and the color temperature of the LED lamp, and the operation modes include reading mode, sleep mode, and meeting mode; Main control unit: used to send a PWM frequency control instruction according to the obtained analysis result; Power management unit: used to dynamically adjust the power supply power of the high-efficiency LED module according to the control instruction of the main control unit.

[0044] Among them, the process of analyzing the interference situation of the output parameters of the LED lamp in the current operation mode is as follows: respectively obtain the external interference data of the LED lamp in the current operation mode, and perform comprehensive analysis in combination with the reference external interference data and the external interference data weight factor in the database to obtain the external interference index, and obtain the output parameter interference index accordingly; the external interference index includes the first external interference index, the second external interference index, and the third external interference index; the external interference data includes environmental light intensity, lamp surface temperature, high-level duty cycle, and high-level duty cycle duration; the reference external interference data includes reference environmental light intensity, reference lamp surface temperature, reference high-level duty cycle, and reference high-level duty cycle duration; the external interference data weight factor includes environmental light intensity weight factor, lamp surface temperature weight factor, high-level duty cycle and duration relative weight factor; the output parameter interference index represents the quantization data of the influence degree of the first external interference index, the second external interference index, and the third external interference index on the dynamic dimming process together; the first external interference index represents the result of correcting the difference degree between the environmental light intensity weight factor and the difference between the environmental light intensity and the reference environmental light intensity; the second external interference index represents the result of correcting the difference degree between the lamp surface temperature weight factor and the difference between the lamp surface temperature and the reference lamp surface temperature; the third external interference index represents the result of correcting the mutual influence degree between the high-level duty cycle deviation value and the high-level duty cycle duration deviation value by the high-level duty cycle and duration relative weight factor; the high-level duty cycle deviation value represents the absolute value of the difference between the high-level duty cycle and the reference high-level duty cycle; the high-level duty cycle duration deviation value represents the absolute value of the difference between the high-level duty cycle duration and the reference high-level duty cycle duration.

[0045] Specifically, the specific limit expression of the output parameter interference index is: ; In the formula, represents the output parameter interference index of the LED lamp in the corresponding operation mode during the dimming period, represents the environmental light intensity weight factor, represents the ambient light intensity of the LED lamp in the corresponding operating mode during the dimming period, represents the reference ambient light intensity, represents the weight factor of the lamp surface temperature, represents the lamp surface temperature of the LED lamp in the corresponding operating mode during the dimming period, represents the reference lamp surface temperature, represents the relative weight factor of the high - level duty cycle and the duration, represents the high - level duty cycle of the LED lamp in the corresponding operating mode during the dimming period, represents the reference high - level duty cycle, represents the duration of the high - level duty cycle of the LED lamp in the corresponding operating mode during the dimming period, represents the reference duration of the high - level duty cycle.

[0046] In this embodiment, the reference ambient light intensity, the reference lamp surface temperature, the reference high - level duty cycle, and the reference duration of the high - level duty cycle are respectively represented by the results of summing and averaging the historical ambient light intensity, the historical lamp surface temperature, the historical high - level duty cycle, and the historical duration of the high - level duty cycle of the LED lamp in the corresponding operating mode during the historical dimming period in the database; the unit of the ambient light intensity and the reference ambient light intensity is the same, both are lux (lx), the unit of the lamp surface temperature and the reference lamp surface temperature is the same, both are degrees Celsius (°C), and the unit of the duration of the high - level duty cycle and the reference duration of the high - level duty cycle is the same, both are seconds (S).

[0047] The database stores preset weight factors that are closely related to the output parameter interference index. A predefined mapping relationship is established between these weight factors and the corresponding ambient light intensity, lamp surface temperature, and relative deviation of the high - level duty cycle (i.e., the degree of mutual influence between the high - level duty cycle deviation value and the high - level duty cycle duration deviation value). It should be noted that this mapping is not randomly set. It can be a one - to - one relationship or a many - to - one relationship. For example, in practical applications, the ambient light intensity, lamp surface temperature, and relative deviation of the high - level duty cycle obtained in real - time can be directly input into this preset mapping relationship, and the ambient light intensity weight factor, lamp surface temperature weight factor, and relative weight factor of the high - level duty cycle and the duration that match the output parameter interference index can be obtained quickly and accurately.

[0048] Especially important is that, in order to ensure the consistency and comparability of the evaluation, the value ranges of the ambient light intensity weight factor, the lamp surface temperature weight factor, and the relative weight factor of the high - level duty cycle and the duration in this example are all limited to between 0 and 1, and the sum of the three is 1.

[0049] It should be understood that the output parameter interference index increases with the increase of the ambient light intensity deviation value (i.e., ), the lamp surface temperature deviation value (i.e., ), the high-level duty cycle deviation value (i.e., ), and the high-level duty cycle duration deviation value (i.e., ). It is used to comprehensively reflect the combined influence of the deviation degrees of two different factors. These two parameters respectively represent the interference degrees of the high-level duty cycle deviation value and the high-level duty cycle duration deviation value on the output parameters. Essentially, they both describe the interference factors affecting the stability of LED lamps and belong to quantities at the same level and of the same type.

[0050] Specifically: when the ambient light intensity changes, the heat dissipation condition of the LED lamp may be affected, resulting in a change in the lamp surface temperature. At this time, it is necessary to adjust the brightness of the LED lamp to adapt, which is usually achieved by changing the high-level duty cycle. Secondly, the increase in the lamp surface temperature may reduce the luminous efficiency of the LED. To maintain the same light output, it may be necessary to increase the high-level duty cycle. The interaction between the two may lead to the instability of the LED lamp during the dynamic dimming process. By multiplying, the deviation effects of these two factors can be comprehensively combined to more fully reflect their combined interference degree on the output parameters of the LED lamp.

[0051] The result after multiplication, as part of the output parameter interference index, can more accurately reflect the instability of the LED lamp during the dynamic dimming process due to the deviations of the high-level duty cycle and the high-level duty cycle duration. By comprehensively combining the deviation effects of multiple relevant factors, the output parameter interference index can more comprehensively evaluate the performance of the LED lamp under different environmental conditions.

[0052] By considering the above mutual influence mechanism, the correlation between the fault location efficiency and the luminous efficiency of the LED lamp during the dynamic dimming process can be better understood. This understanding helps us design a more precise control system to achieve precise adjustment of the brightness and temperature of the LED lamp, thereby improving the fault location efficiency and optimizing the luminous efficiency.

[0053] Further, the specific process of sending a PWM frequency control instruction according to the obtained analysis result is as follows: E1, determine whether the obtained output parameter interference index is not greater than the preset output parameter interference index in the database. If so, continue to monitor the PWM dynamic dimming process; otherwise, execute E2. The PWM frequency control instruction is used to automatically regulate the PWM frequency of the oscilloscope. E2, obtain the output parameter interference index deviation, and at the same time obtain the actual brightness of the LED lamp at the current interference moment. The output parameter interference index deviation represents the difference between the obtained output parameter interference index and the preset output parameter interference index. E3, when the actual brightness is greater than the target brightness, reduce the brightness by decreasing the PWM frequency by a preset amplitude. At the same time, when the PWM period of the LED lamp monitored in real time at the current interference moment is not within the PWM period allowable range (set by the preset personnel), prompt the preset personnel to fine-tune the initial PWM period through the oscilloscope based on the obtained PWM period deviation. Otherwise, execute E4. The PWM period deviation represents the difference between the obtained PWM period and the reference PWM period (representing the average value of the maximum PWM period and the minimum PWM period in the PWM period allowable range). E4, when the actual brightness is less than the target brightness, increase the brightness by increasing the PWM frequency by a preset amplitude. At the same time, when the high-level duty cycle of the LED lamp monitored in real time at the current interference moment is not within the high-level duty cycle allowable range (set by the preset personnel), prompt the preset personnel to fine-tune the initial high-level duty cycle through the oscilloscope based on the obtained high-level duty cycle deviation value. Otherwise, execute E5. The high-level duty cycle deviation value represents the difference between the obtained high-level duty cycle and the reference high-level duty cycle (representing the average value of the maximum high-level duty cycle and the minimum high-level duty cycle in the high-level duty cycle allowable range). E5, after adjusting the PWM frequency, re-obtain the output parameter interference index deviation. If the re-obtained output parameter interference index deviation is greater than 0, return to step E2; otherwise, complete the adjustment of the PWM frequency.

[0054] In this embodiment, when the actual brightness is equal to the target brightness, it indicates that the current brightness of the LED lamp meets the expected requirements, and at this time, there is no need to regulate the PWM frequency of the oscilloscope. The preset output parameter interference index is represented by the result of summing and averaging the historical output parameter interference indexes of the LED lamp in the corresponding operating mode during the historical dimming period in the database. Assume that the preset output parameter interference index is 0.5, the target brightness is 80% (representing the relative brightness that the LED lamp should reach), the PWM period allowable range is 10 ms to 20 ms (representing the effective range of the PWM period), the reference PWM period is 15 ms, the high-level duty cycle allowable range is 50% to 70% (representing the effective range of the high-level duty cycle), the reference high-level duty cycle is 60%, and the preset amplitude of the PWM frequency adjustment value (set by the preset personnel): ±10 Hz (representing the fixed value increased or decreased each time the PWM frequency is adjusted).

[0055] Suppose the currently obtained interference index of the output parameter is 0.55, which is greater than the preset interference index of the output parameter. At this time, the deviation of the interference index of the output parameter is 0.05. Suppose the actual brightness of the current LED lamp is 90%, which is greater than the target brightness. Since the actual brightness is greater than the target brightness, the brightness needs to be reduced.

[0056] Suppose the current PWM period is 9 ms, which is not within the allowable range of the PWM period. At this time, the deviation of the PWM period is -6 ms, then prompt the preset personnel to fine-tune the initial PWM period to 15 ms (or a value within the allowable range close to 15 ms) through an oscilloscope.

[0057] Suppose after fine-tuning, the PWM period meets the allowable range, but the brightness is still too high (this step is only for process description, and the brightness may have been adjusted in actual operation). Since the actual brightness is still greater than the target brightness, and the PWM period has been adjusted to the allowable range, consider reducing the PWM frequency to reduce the brightness.

[0058] Suppose the current PWM frequency is 60 Hz, reduce it by 10 Hz to 50 Hz. At the same time, check the high-level duty cycle. Suppose the current high-level duty cycle is 75%, which is not within the allowable range of the high-level duty cycle. At this time, the deviation value of the high-level duty cycle is 15%, then prompt the preset personnel to fine-tune the initial high-level duty cycle to 60% (or a value within the allowable range close to 60%) through an oscilloscope.

[0059] After adjusting the PWM frequency and the high-level duty cycle, re-obtain the deviation of the interference index of the output parameter. Suppose the re-obtained deviation of the interference index of the output parameter is -0.02 (that is, the re-obtained interference index of the output parameter is 0.48, which is less than the preset interference index of the output parameter). Since the re-obtained deviation of the interference index of the output parameter is still greater than 0, decide to continue the adjustment, then return to step E2 for iterative adjustment until the deviation of the interference index of the output parameter is within the acceptable range and the brightness of the LED lamp meets the target requirements.

[0060] In this example, by real-time monitoring and quickly adjusting the PWM frequency, the system can quickly respond to the interference of the output parameter. At the same time, combined with the fine-tuning of the PWM period and the high-level duty cycle, the system can more precisely control the brightness of the LED lamp, enabling the preset personnel to easily make necessary adjustments. Considering multiple parameters for adjustment, the system can optimize the fault location efficiency while maintaining the luminous efficiency of the LED lamp, improving the performance and reliability of the overall system.

[0061] Furthermore, the environmental adaptability evaluation module includes a PWM control parameter correction unit and an energy recovery unit; PWM control parameter correction unit: used to correct the PWM control parameters according to the obtained luminous efficiency evaluation index, and the PWM control parameters include the control loop gain and the dimming curve slope, and the dimming curve reflects the change relationship between the light output of the LED lamp and the control signal (such as PWM duty cycle or PWM frequency); Energy recovery unit: used to transfer the remaining energy back to the power management unit when the LED lamp is in the off state or sleep mode.

[0062] In this embodiment, in the dynamic dimming control loop of the LED lamp, the dimming curve determines how the input control signal is converted into the actual brightness output of the LED lamp, and the optimization of its slope is directly related to the dimming accuracy and response speed of the lamp. Through the fine adjustment of the dimming curve by the PWM control parameter correction unit, the dimming performance of the LED lamp can be significantly improved.

[0063] The design of the energy recovery unit enables the LED lamp to effectively transfer the remaining electrical energy back to the power management unit when it is in the off state or sleep mode, avoiding unnecessary energy loss. This function not only improves the energy utilization efficiency but also helps the LED lamp to perform optimally in different scenarios. This high degree of environmental adaptability makes the LED lamp more intelligent and flexible, and can better meet the diverse needs of users.

[0064] In summary, the environmental adaptability evaluation module, with its unique design of the PWM control parameter correction unit and the energy recovery unit, brings performance improvement and energy-saving effects to the LED lamp. Compared with the existing technology, this module shows significant advantages in luminous efficiency, dimming performance, energy recovery, and environmental adaptability.

[0065] Further, the specific steps for analyzing the influence degree of the luminous efficiency of the LED lamp during the fault location process include: N1. Obtain the ambient humidity and surface dust concentration of the LED lamp at the end of the fault location. When the ambient humidity is within the allowable range of the ambient humidity in the database and the surface dust concentration is within the allowable range of the surface dust concentration in the database, obtain the surface temperature of the LED lamp at the end of the fault location and execute N2; N2. When the surface temperature of the lamp is lower than the reference surface temperature of the lamp in the database, obtain the total input voltage and the average duty cycle of the high-level signal of the LED lamp at the end of the current analysis period. At the same time, combine the obtained output parameter interference index and the reference analysis data in the database to obtain the luminous efficiency evaluation index; the reference analysis data includes the reference total input voltage, the reference average duty cycle of the high-level signal, the total input voltage weight factor, and the average duty cycle weight factor of the high-level signal; the luminous efficiency evaluation index represents the quantification data of the joint influence degree of the output parameter interference index, the total input voltage, and the average duty cycle of the high-level signal on the luminous efficiency of the LED lamp.

[0066] Among them, when the ambient humidity is within the allowable range of the ambient humidity in the database, the surface dust concentration is within the allowable range of the surface dust concentration in the database, and the surface temperature of the lamp is lower than the reference surface temperature of the lamp in the database (otherwise, the calculation of the luminous efficiency evaluation index is not performed), the specific limiting expression of the luminous efficiency evaluation index is: ; In the formula, represents the luminous efficiency evaluation index of the LED lamp at the end of the fault location, represents the output parameter interference index of the LED lamp in the corresponding operating mode during the dimming period, represents the total input voltage weight factor, represents the total input voltage of the LED lamp at the end of the fault location, represents the reference total input voltage, represents the average duty cycle weight factor of the high-level signal, 1 represents the average duty cycle of the high-level signal of the LED lamp at the end of the fault location, represents the reference average duty cycle of the high-level signal.

[0067] In this embodiment, when the ambient humidity is not within the allowable range of the ambient humidity in the database, the ambient humidity affects the circuit of the LED lamp (such as a short circuit in the circuit), thereby causing an abnormal dynamic dimming process and the brightness being interfered; the unit of the total input voltage and the reference total input voltage is the same, both are volts (V); the reference total input voltage and the reference average duty cycle of the high-level signal are respectively represented by the results of summing and averaging the historical total input voltage and the historical average duty cycle of the high-level signal of the LED lamp in the database at the end of the historical fault location.

[0068] The input total voltage weight factor and the average high-level signal duty cycle weight factor are respectively the influence degrees of the preset input total voltage and the average high-level signal duty cycle in the database on the luminous efficiency of the LED lamp during the fault location process. Specifically, the database stores preset weight factors corresponding to the input total voltage and the average high-level signal duty cycle. There is a preset mapping relationship between these weight factors and the input total voltage and the average high-level signal duty cycle. This mapping relationship can be one-to-one or many-to-one. For example, in practical applications, the real-time input total voltage and the average high-level signal duty cycle can be input into this mapping relationship to quickly obtain the corresponding weight factors.

[0069] In this example, the value ranges of the input total voltage weight factor and the average high-level signal duty cycle weight factor are both limited to between 0 and 1, and the sum of the two is 1.

[0070] It should be understood that the and in the luminous efficiency evaluation index calculation formula, the “+1” is to avoid the denominator being 0. These two parts respectively reflect the factors affecting the luminous efficiency of the LED lamp from different angles. It is mainly related to the output parameter interference index of the lamp in the corresponding operating mode during the dimming period, while the latter part in parentheses comprehensively considers factors such as the input total voltage deviation and the average high-level signal duty cycle deviation. By multiplying, the influences of these different factors can be combined to obtain a more comprehensive luminous efficiency evaluation index.

[0071] In the actual physical process, the influence of these factors on the luminous efficiency may not be a simple linear relationship. The multiplication operation method can introduce certain non-linear characteristics to more accurately simulate the interaction between various factors and the combined influence on the luminous efficiency in the actual situation. For example, when the output parameter interference index SG is large, even if other deviation terms are relatively small, the overall luminous efficiency will be greatly affected. The multiplication operation method can better reflect this non-linear relationship.

[0072] Specifically, the luminous efficiency evaluation index changes with the output parameter interference index, the input total voltage deviation value (i.e., ) and the average high-level signal duty cycle deviation value (i.e., It decreases with the increase of (), where the increase of the output parameter interference index may exacerbate the adverse effects of the total input voltage deviation value and the average duty cycle deviation value of the high-level signal on the luminous efficiency. By considering the above mutual influence mechanism, it helps to more accurately locate the faults of LED lamps during the dynamic dimming process, optimize the dimming strategy to improve the luminous efficiency, and thus improve the fault location efficiency of LED lamps during the dynamic dimming process.

[0073] As Figure 2 shown, it is the correction flowchart of the PWM control parameters provided by the embodiment of the present application. The specific steps of the PWM control parameter correction are as follows: L1, determine whether the obtained luminous efficiency evaluation index is not less than the preset luminous efficiency evaluation index in the database. If so, the fault location is completed; otherwise, execute L2; L2, obtain the deviation of the luminous efficiency evaluation index, and at the same time obtain the environmental humidity and dust concentration in the area where the LED lamp is located at the current evaluation moment; L3, when the environmental humidity is greater than the preset environmental humidity in the database (set by the manufacturer of the LED lamp), the dynamic dimming control loop is determined as the brightness control loop, and at the same time, the gain of the brightness control loop is increased by increasing the gain setting with a preset amplitude on the brightness control loop; L4, when the dust concentration is greater than the preset dust concentration in the database (set by the manufacturer of the LED lamp), the dynamic dimming control loop is determined as the temperature control loop, and at the same time, the reciprocal of the obtained gain is used as the slope adjustment amount of the dimming curve; L5, after the PWM control parameters are corrected, re-obtain the deviation of the luminous efficiency evaluation index. When the re-obtained deviation of the luminous efficiency evaluation index is greater than 0, the correction of the PWM control parameters is completed; otherwise, return to step L1; the deviation of the luminous efficiency evaluation index represents the difference between the obtained luminous efficiency evaluation index and the preset luminous efficiency evaluation index; the dynamic dimming control loop includes a brightness control loop and a temperature control loop.

[0074] In this embodiment, the preset luminous efficiency evaluation index is the result of summing and averaging the historical luminous efficiency evaluation indexes of the LED lamps in the database at the end of the historical fault location; the brightness control loop is mainly used to adjust the brightness of the LED lamp, and the temperature control loop is mainly used to control the working temperature of the LED lamp. During the correction of the PWM control parameters, the brightness control loop and the temperature control loop cooperate together to ensure that the LED lamp can maintain stable performance and output under different environmental conditions, so as to achieve the efficient, energy-saving and stable operation of the LED lamp.

[0075] Suppose the obtained luminous efficiency evaluation index is 0.8, the preset luminous efficiency evaluation index is 0.9, the environmental humidity at the current evaluation moment is 70%, the preset environmental humidity is 60%, the dust concentration at the current evaluation moment is 0.2 mg / m³, and the preset dust concentration is 0.1 mg / m³.

[0076] At this time, the deviation of the luminous efficiency evaluation index is -0.1. Since the environmental humidity at the current evaluation moment is greater than the preset environmental humidity, the dynamic dimming control loop is determined as the brightness control loop, and the gain setting of the preset amplitude on the brightness control loop is increased. For example, the gain amount is increased by 10%.

[0077] Since the dust concentration at the current evaluation moment is greater than the preset dust concentration, the dynamic dimming control loop is determined as the temperature control loop, and the reciprocal of the obtained gain amount (assuming the initial gain setting on the brightness control loop is 1, then increasing the gain amount by 10% is 1.1, and the corresponding reciprocal is 0.909) is used as the slope adjustment amount of the dimming curve.

[0078] After the first correction: Re-obtain the deviation of the luminous efficiency evaluation index. Assuming that the luminous efficiency is improved to 0.85 after correction, the re-obtained deviation of the luminous efficiency evaluation index is -0.05, which is still greater than 0 (but closer to 0, indicating closer to the preset luminous efficiency evaluation index). Therefore, continue to monitor or perform fine-tuning. If the deviation of the luminous efficiency evaluation index after correction is greater than 0, the correction of the PWM control parameters is completed.

[0079] By real-time monitoring and correcting the PWM control parameters, the working state of the LED lamp can be adjusted in time, thereby improving its luminous efficiency, reducing energy consumption. At the same time, according to the changes in environmental humidity and dust concentration, the brightness control loop and the temperature control loop are intelligently adjusted to ensure that the LED lamp can maintain the best performance in different environments, realizing the precise control and intelligent management of the luminous efficiency of the LED lamp.

[0080] As Figure 3 shown, it is a flowchart of an energy-saving control method for an LED lamp provided by an embodiment of the present application. An energy-saving control method for an LED lamp provided by an embodiment of the present application includes the following steps: Step 1, real-time monitor the changes in the PWM adjustment parameters of the LED lamp during the PWM dynamic dimming process, and at the same time perform fault location and prompt based on the changes in the PWM adjustment parameters; Step 2, analyze the external interference situation of the LED lamp during the PWM dynamic dimming process; Step 3, analyze the influence degree of the luminous efficiency of the LED lamp during the fault location process.

[0081] The specific application scenarios of the solution of the present application are as follows: (1) Home lighting scenario: When natural light is sufficient during the day, the system automatically reduces the LED brightness to save energy; at night or when the light is dim, the system adjusts the color temperature and brightness according to the environmental temperature and humidity to create a comfortable lighting environment; users can preset the operation mode of the LED lamp through the mobile phone APP and switch the lamp state with one key.

[0082] (2) Commercial lighting scenario: In shopping malls or offices, the system dynamically adjusts the brightness of the lights according to the number of people; when there is no one in the area, the lights enter a low-power standby state, and when someone enters, the lights automatically return to the preset brightness; the system combines historical data and real-time parameters to predict the optimal working mode and further optimize the energy utilization efficiency.

[0083] (3) Outdoor lighting scenario: In the application of outdoor street lights, the system automatically adjusts the brightness and color temperature of the lights according to weather conditions (such as rainy days and foggy days) to improve visibility; the fault detection mechanism can timely detect lamp failures and notify maintenance personnel to ensure the continuity of road lighting.

[0084] In summary, the embodiments of the present application monitor the changes of the PWM adjustment parameters of the LED lamp during the PWM dynamic dimming process in real time, and at the same time perform fault location and prompt based on the changes of the PWM adjustment parameters, then analyze the external interference situation of the LED lamp during the PWM dynamic dimming process, and finally analyze the influence degree of the luminous efficiency of the LED lamp during the fault location process, so as to realize the effective analysis of internal and external interference factors during the fault location process, and further improve the fault location efficiency of the LED lamp during the dynamic dimming process, effectively solving the problem that the correlation between the fault location efficiency and the luminous efficiency of the LED lamp is not high in the prior art during the dynamic dimming process.

[0085] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0086] The present invention is described with reference to the flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of the processes and / or blocks in the flowchart and / or block diagram can also be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the specified functions in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0087] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to operate in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including an instruction device that implements the functions specified in one or more of the procedures Figure 1 and / or blocks Figure 1 specified in one or more of the procedures and / or blocks.

[0088] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, so that the instructions executed on the computer or other programmable apparatus provide steps for implementing the functions specified in one or more of the procedures Figure 1 and / or blocks Figure 1 specified in one or more of the procedures and / or blocks.

[0089] Although the preferred embodiments of the present invention have been described, additional changes and modifications can be made by those skilled in the art once they learn of the basic inventive concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications that fall within the scope of the present invention.

[0090] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. An energy-saving control system for an LED lamp, characterized in that, Including: A fault location module, an operating state analysis module, and an environmental adaptability evaluation module; Among them, the fault location module is used to monitor in real time the changes in the PWM adjustment parameters of the LED lamp during the PWM dynamic dimming process, and at the same time perform fault location and prompt based on the changes in the PWM adjustment parameters; The operating state analysis module is used to analyze the external interference situation of the LED lamp during the PWM dynamic dimming process; The environmental adaptability evaluation module is used to analyze the influence degree of the luminous efficiency of the LED lamp during the fault location process.

2. The energy-saving control system for an LED lamp as described in claim 1, wherein, The specific steps for the real-time monitoring of the changes in the PWM adjustment parameters of the LED lamp during the PWM dynamic dimming process are as follows: P1. Obtain the average lamp surface temperature of the LED lamp during the dimming period. When the average lamp surface temperature is less than the allowable lamp surface temperature in the database, execute P2; otherwise, prompt the preset personnel to adjust the high-level pulse width through an oscilloscope. P2. When the high-level duty cycle of the LED lamp during the dimming period is within the duty cycle fluctuation range in the database, continue to monitor the PWM dynamic dimming process and execute P3; otherwise, execute P4. P3. Obtain the output voltage fluctuation amplitude, the number of brightness stroboscopic times, and the effective fault location duration of the LED lamp during the dimming period, and at the same time obtain the fault location influence index by combining the first fault location influence index weight factor and the first reference fault location data in the database. P4. Obtain the number of PWM frequency anomalies, and at the same time obtain the output voltage fluctuation amplitude, the number of brightness stroboscopic times, and the effective fault location duration of the LED lamp during the dimming period, and obtain the fault location influence index by combining the second fault location influence index weight factor and the second reference fault location data in the database. The PWM adjustment parameters include the PWM period and the PWM duty cycle; The first reference fault location data includes the maximum allowable output voltage fluctuation amplitude, the maximum allowable number of brightness stroboscopic times, and the maximum allowable effective fault location duration; The first fault location influence index weight factor includes the output voltage fluctuation amplitude weight factor, the number of brightness stroboscopic times weight factor, and the effective fault location duration weight factor; The second reference fault location data includes the maximum allowable number of PWM frequency anomalies and the first reference fault location data; The second fault location influence index weight factor includes the first fault location influence index weight factor and the PWM frequency anomaly number weight factor.

3. The energy-saving control system for an LED lamp as described in claim 2, characterized in that, The specific process for performing fault location and prompt based on the changes in the PWM adjustment parameters is as follows: H1. Judge whether the obtained fault location influence index is not greater than the preset fault location influence index in the database. If so, continue to monitor the PWM dynamic dimming process; otherwise, execute H2. H2. If the deviation of the obtained fault location influence index is less than the preset fault location influence index deviation in the database, prompt the user to perform a power-off maintenance. H3. If the deviation of the obtained fault location influence index is not less than the preset fault location influence index deviation in the database, prompt the user to replace the LED lamp.

4. The energy-saving control system for an LED lamp as described in claim 1, wherein, The operating status analysis module includes an output parameter interference index acquisition unit, a main control unit, and a power management unit; The output parameter interference index acquisition unit: used to analyze the interference situation of the output parameters of the LED lamp in the current operating mode. The output parameters include the brightness and color temperature of the LED lamp, and the operating modes include reading mode, sleep mode, and meeting mode; The main control unit: used to send a PWM frequency control instruction according to the obtained analysis result; The power management unit: used to dynamically adjust the power supply power of the high-efficiency LED module according to the control instruction of the main control unit.

5. The energy-saving control system for an LED lamp as described in claim 4, wherein The process of analyzing the interference situation of the output parameters of the LED lamp in the current operating mode is as follows: Respectively obtain the external interference data of the LED lamp in the current operating mode, and perform comprehensive analysis in combination with the reference external interference data and the external interference data weight factor in the database to obtain the external interference index, and obtain the output parameter interference index accordingly; The external interference index includes a first external interference index, a second external interference index, and a third external interference index; The external interference data includes environmental light intensity, lamp surface temperature, high-level duty cycle, and high-level duty cycle duration; The reference external interference data includes reference environmental light intensity, reference lamp surface temperature, reference high-level duty cycle, and reference high-level duty cycle duration; The external interference data weight factor includes an environmental light intensity weight factor, a lamp surface temperature weight factor, and a relative weight factor of high-level duty cycle and duration; The output parameter interference index represents the quantization data of the influence degree of the first external interference index, the second external interference index, and the third external interference index on the dynamic dimming process; The first external interference index represents the result of correcting the difference degree between the environmental light intensity weight factor and the difference between the environmental light intensity and the reference environmental light intensity; The second external interference index represents the result of correcting the difference degree between the lamp surface temperature weight factor and the difference between the lamp surface temperature and the reference lamp surface temperature; The third external interference index represents the result of correcting the mutual influence degree between the relative weight factor of high-level duty cycle and duration and the deviation value of high-level duty cycle and the deviation value of high-level duty cycle duration.

6. The energy-saving control system for an LED lamp as claimed in claim 4, wherein The specific process of sending a PWM frequency control instruction according to the obtained analysis result is as follows: E1, determine whether the obtained output parameter interference index is not greater than the preset output parameter interference index in the database. If so, continue to monitor the PWM dynamic dimming process, otherwise execute E2. The PWM frequency control instruction is used to automatically adjust the PWM frequency of the oscilloscope; E2, obtain the output parameter interference index deviation, and at the same time obtain the actual brightness of the LED lamp at the current interference moment; E3. When the actual brightness is greater than the target brightness, the brightness is reduced by decreasing the PWM frequency by a preset amplitude. Meanwhile, when the PWM cycle of the LED lamp monitored in real time at the current interference moment is not within the allowable range of the PWM cycle, a preset person is prompted based on the obtained PWM cycle deviation to fine-tune the initial PWM cycle using an oscilloscope. Otherwise, execute E4; E4. When the actual brightness is less than the target brightness, the brightness is increased by increasing the PWM frequency by a preset amplitude. Meanwhile, when the high-level duty cycle of the LED lamp monitored in real time at the current interference moment is not within the allowable range of the high-level duty cycle, a preset person is prompted based on the obtained high-level duty cycle deviation value to fine-tune the initial high-level duty cycle using an oscilloscope. Otherwise, execute E5; E5. After the PWM frequency is adjusted, the output parameter interference index deviation is obtained again. If the obtained output parameter interference index deviation is greater than 0, return to step E2. Otherwise, complete the adjustment of the PWM frequency.

7. The energy-saving control system for an LED lamp as described in claim 1, wherein The environmental adaptability evaluation module includes a PWM control parameter correction unit and an energy recovery unit; The PWM control parameter correction unit: is used to correct the PWM control parameters according to the obtained luminous efficiency evaluation index. The PWM control parameters include the control loop gain and the dimming curve slope. The dimming curve reflects the change relationship between the light output of the LED lamp and the control signal; The energy recovery unit: is used to transfer the remaining energy back to the power management unit when the LED lamp is in the off state or sleep mode.

8. The energy-saving control system for an LED lamp as described in claim 7, characterized in that, The specific steps for analyzing the influence degree of the luminous efficiency of the LED lamp in the fault location process include: N1. Obtain the environmental humidity and surface dust concentration of the LED lamp at the end of the fault location. When the environmental humidity is within the allowable range of the environmental humidity in the database and the surface dust concentration is within the allowable range of the surface dust concentration in the database, obtain the surface temperature of the LED lamp at the end of the fault location and execute N2; N2. When the surface temperature of the lamp is less than the reference surface temperature of the lamp in the database, obtain the total input voltage and the average high-level signal duty cycle of the LED lamp at the end of the current analysis period. Meanwhile, obtain the luminous efficiency evaluation index by combining the obtained output parameter interference index and the reference analysis data in the database; The reference analysis data includes the reference total input voltage, the reference average high-level signal duty cycle, the total input voltage weighting factor, and the average high-level signal duty cycle weighting factor; The luminous efficiency evaluation index represents the quantitative data of the influence degree of the output parameter interference index, the total input voltage, and the average high-level signal duty cycle on the luminous efficiency of the LED lamp.

9. The energy-saving control system for an LED lamp as described in claim 8, wherein, The specific steps for the PWM control parameter correction are as follows: L1. Determine whether the obtained luminous efficiency evaluation index is not less than the preset luminous efficiency evaluation index in the database. If so, complete the fault location. Otherwise, execute L2; L2. Obtain the luminous efficiency evaluation index deviation, and at the same time obtain the environmental humidity and dust concentration of the area where the LED lamp is located at the current evaluation moment; L3. When the environmental humidity is greater than the preset environmental humidity in the database, the dynamic dimming control loop is determined as the brightness control loop, and at the same time, the gain of the brightness control loop is increased by increasing the gain setting with a preset amplitude on the brightness control loop; L4. When the dust concentration is greater than the preset dust concentration in the database, the dynamic dimming control loop is determined as the temperature control loop, and at the same time, the reciprocal of the obtained gain is used as the slope adjustment amount of the dimming curve; L5. After the PWM control parameters are corrected, the deviation of the luminous efficiency evaluation index is obtained again. When the re-obtained deviation of the luminous efficiency evaluation index is greater than 0, the correction of the PWM control parameters is completed; otherwise, return to step L2; The dynamic dimming control loop includes a brightness control loop and a temperature control loop.

10. An energy-saving control method for an LED lamp, characterized in that, It includes the following steps: Step 1, monitor the change of the PWM adjustment parameters of the LED lamp in the PWM dynamic dimming process in real time, and at the same time perform fault location and prompt based on the change of the PWM adjustment parameters; Step 2, analyze the external interference situation of the LED lamp in the PWM dynamic dimming process; Step 3, analyze the influence degree of the luminous efficiency of the LED lamp in the fault location process.

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