An intelligent DC dimming control method and system based on hybrid carrier modulation

Abstract

The present invention relates to the technical field of carrier modulation, and discloses an intelligent DC dimming control method and system for hybrid carrier modulation, including: generating a multi-segment photometric mapping relationship according to historical photometric data, and calculating a target brightness corresponding to target light intensity data; determining a brightness adjustment intention corresponding to a brightness adjustment signal, and identifying a dimming scenario of a target area according to the brightness adjustment intention; analyzing modulation parameters corresponding to the brightness adjustment intention by using a hybrid carrier modulation scenario mode, and performing modulation analysis on a dimming device in the target area according to the modulation parameters to obtain a modulation signal; determining modulation DC data of the target area according to the modulation signal, calculating an adjustment amount corresponding to the dimming device by using the modulation DC data, and generating dual dimming curve parameters of the target area according to the adjustment amount; superimposing the dual dimming curve parameters to obtain a superimposed dimming curve, and analyzing a dimming control state according to the superimposed dimming curve. The present invention can improve the accuracy during intelligent dimming control.

Description

Technical Field

[0001] The present invention relates to the technical field of carrier modulation, and particularly to an intelligent DC dimming control method and system for hybrid carrier modulation. Background Art

[0002] In recent years, under the background of the global advocacy of energy conservation and emission reduction, the lighting system, as an important part of energy consumption, its energy-saving demand has become increasingly prominent. In order to accurately adjust the brightness of lighting equipment and avoid unnecessary energy waste, it is necessary to accurately control the light.

[0003] Existing intelligent dimming control technologies are mostly resistance dimming. By changing the resistance value connected in series in the lighting circuit, the current in the circuit is changed to achieve the purpose of adjusting the brightness of the lighting equipment. In practical applications, traditional lighting dimming methods are often not accurate enough to adjust the brightness in real time according to the actual environmental requirements, resulting in low accuracy in intelligent dimming control. Summary of the Invention

[0004] The present invention provides an intelligent DC dimming control method and system for hybrid carrier modulation, and its main purpose is to solve the problem of low accuracy in intelligent dimming control.

[0005] To achieve the above purpose, an intelligent DC dimming control method for hybrid carrier modulation provided by the present invention includes:

[0006] Collect historical photometric data and target light intensity data of the target area, generate a multi-segment photometric mapping relationship according to the historical photometric data, and calculate the target brightness corresponding to the target light intensity data by using the multi-segment photometric mapping relationship;

[0007] Detect the brightness adjustment signal of the target area, determine the brightness adjustment intention corresponding to the brightness adjustment signal by using a preset brightness conversion rule, and identify the dimming scenario of the target area according to the brightness adjustment intention;

[0008] Determine the hybrid carrier modulation scenario mode of the target area through the dimming scenario, analyze the modulation parameters corresponding to the brightness adjustment intention by using the hybrid carrier modulation scenario mode, and perform modulation analysis on the dimming device of the target area according to the modulation parameters to obtain a modulation signal;

[0009] Determine the modulation DC data of the target area according to the modulation signal, calculate the adjustment amount corresponding to the dimming device by using a preset closed-loop control algorithm and the modulation DC data, and generate double dimming curve parameters of the target area according to the adjustment amount;

[0010] Superimpose the double dimming curve parameters to obtain a superimposed dimming curve, including: identifying the curve feature points of the double dimming curve parameters; aligning the curve feature points, and superimposing the eigenvalue corresponding to the aligned curve feature points to obtain a superimposed dimming curve, where the superimposed formula is: Where, is the superimposed dimming curve, is the eigenvalue of the adjustment curve in the double dimming curve corresponding to the eigenvalue of the reference curve in the double dimming curve corresponding to the is the curve change adjustment coefficient, is the change rate corresponding to the dimming curve, is the change rate corresponding to the reference curve;

[0011] Analyze the dimming control state according to the superimposed dimming curve.

[0012] Optionally, the generating of the multi-segment light intensity mapping relationship according to the historical light intensity data includes:

[0013] Determine the preset target time period and preset target environmental conditions as the grouping rules;

[0014] Divide the historical light intensity data according to the grouping rules to obtain historical light intensity category data;

[0015] Fit the pre-obtained mapping model according to the historical light intensity category data;

[0016] Generate a multi-segment light intensity mapping relationship according to the fitted mapping model and the historical light intensity category data, where the multi-segment light intensity mapping relationship is: Where, is the mapping model corresponding to the group of historical light intensity category data at the time, is the range of independent variable values corresponding to the group of historical light intensity category data.

[0017] Optionally, the calculating of the target brightness corresponding to the target light intensity data by using the multi-segment light intensity mapping relationship includes:

[0018] Identify the time point of the target light intensity data;

[0019] Determine the target mapping model corresponding to the target light intensity data in the multi-segment light intensity mapping relationship according to the time point;

[0020] Calculate the target brightness corresponding to the target light intensity data by using the target mapping model.

[0021] Optionally, the determining the brightness adjustment intention corresponding to the brightness adjustment signal by using a preset brightness conversion rule includes:

[0022] Analyze the signal coding value of the brightness adjustment signal;

[0023] Correspond the signal coding value with the coding features in the brightness conversion rule;

[0024] Extract the coding semantics corresponding to the signal coding value after correspondence;

[0025] Identify the brightness adjustment intention corresponding to the brightness adjustment signal according to the coding semantics.

[0026] Optionally, the identifying the dimming scenario of the target area according to the brightness adjustment intention includes:

[0027] Determine the brightness range of the target area within a preset time period according to the brightness adjustment intention;

[0028] Divide the area scenario of the target area and perform rule matching between the area brightness of the divided area scenario and the brightness range;

[0029] Determine the dimming scenario of the target area through the area scenario after rule matching.

[0030] Optionally, the determining the hybrid carrier modulation scenario mode of the target area through the dimming scenario includes:

[0031] Extract the illumination features in the dimming scenario;

[0032] Determine the carrier type features corresponding to the target area according to the illumination features;

[0033] Determine the hybrid carrier modulation scenario mode of the target area according to the carrier type features.

[0034] Optionally, the analyzing the modulation parameters corresponding to the brightness adjustment intention by using the hybrid carrier modulation scenario mode includes:

[0035] Determine the required brightness of the target area according to the brightness adjustment intention;

[0036] Determine the mixing ratio in the hybrid carrier modulation scenario mode through the brightness adjustment intention;

[0037] Calculate the modulation parameters corresponding to each carrier modulation in the hybrid carrier modulation scenario mode through the required brightness and the mixing ratio, where the modulation parameter calculation formula is: Where, is the modulation parameter corresponding to the th carrier modulation, is the required brightness, is the th mixing ratio of carrier modulation, is the modulation environment interference correction factor, is the th sensitivity coefficient of carrier modulation, is the real-time temperature, is the reference temperature, is the th aging influence coefficient of carrier modulation, is a constant, is the aging rate constant, is the real-time time.

[0038] Optionally, the modulation analysis of the dimming device in the target area according to the modulation parameter to obtain a modulation signal includes:

[0039] Extracting the carrier parameters of each carrier modulation in the hybrid carrier modulation scenario mode;

[0040] Calculating the signal level time of each carrier modulation according to the carrier parameters and the modulation parameter;

[0041] Generating a carrier signal corresponding to each carrier modulation according to the signal level time;

[0042] Performing signal superposition on the carrier signals to obtain a modulation signal of the dimming device in the target area.

[0043] Optionally, the calculation of the adjustment amount corresponding to the dimming device by using the preset closed-loop control algorithm and the modulation DC data includes:

[0044] Determining the actual brightness data corresponding to the modulation DC data according to the pre-acquired current and brightness characteristic curve of the dimming device;

[0045] Calculating the control amount corresponding to the actual brightness data by using the closed-loop control algorithm described below: where is the control amount, is the proportional coefficient, is the integral coefficient, is the differential coefficient, is the target brightness data, is the actual brightness data, is the th brightness error at the is the th brightness error at the is the Luminance error at a moment

[0046] Superimpose the control quantity and the target luminance data to obtain an adjustment quantity corresponding to the dimming device.

[0047] To solve the above problems, the present invention also provides an intelligent DC dimming control system with hybrid carrier modulation. The system includes:

[0048] A target luminance calculation module, configured to collect historical photometric data and target light intensity data of a target area, generate a multi-segment photometric mapping relationship according to the historical photometric data, and calculate a target luminance corresponding to the target light intensity data by using the multi-segment photometric mapping relationship;

[0049] A dimming scene recognition module, configured to detect a luminance adjustment signal of a target area, determine a luminance adjustment intention corresponding to the luminance adjustment signal by using a preset luminance conversion rule, and recognize a dimming scene of the target area according to the luminance adjustment intention;

[0050] A modulation analysis module, configured to determine a hybrid carrier modulation scene mode of a target area through the dimming scene, analyze modulation parameters corresponding to the luminance adjustment intention by using the hybrid carrier modulation scene mode, perform modulation analysis on a dimming device of the target area according to the modulation parameters, and obtain a modulation signal;

[0051] A dual dimming curve parameter generation module, configured to determine modulation DC data of a target area according to the modulation signal, calculate an adjustment quantity corresponding to the dimming device by using a preset closed-loop control algorithm and the modulation DC data, and generate dual dimming curve parameters of the target area according to the adjustment quantity;

[0052] A dimming control state analysis module, configured to superimpose the dual dimming curve parameters to obtain a superimposed dimming curve, and analyze a dimming control state according to the superimposed dimming curve.

[0053] In the embodiments of the present invention, by collecting historical photometric data to generate a multi-segment photometric mapping relationship, it is possible to more accurately calculate the target brightness that meets the actual requirements according to the target light intensity data; according to different dimming scenarios, such as meeting scenarios, leisure scenarios, etc., targeted dimming control is carried out to provide a lighting effect that better meets the scenario requirements and improve the user experience; according to different dimming scenarios, the corresponding hybrid carrier modulation scenario mode is determined to make the modulation parameters match the scenario requirements and ensure that the dimming device can work in the best way in different scenarios; determining the modulation DC data provides basic data for accurately controlling the dimming device. Combining with the closed-loop control algorithm to calculate the adjustment amount, the working state of the dimming device can be continuously adjusted according to the actual situation to make it closer to the target brightness; the superimposed dimming curve obtained by superimposing the dual dimming curve parameters synthesizes various dimming factors and conditions, and can more comprehensively reflect the working state of the dimming device and the effect of dimming control. Therefore, the intelligent DC dimming control method and system based on hybrid carrier modulation proposed by the present invention can solve the problem of low accuracy in intelligent dimming control. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 FIG. is a schematic flow chart of an intelligent DC dimming control method based on hybrid carrier modulation provided by an embodiment of the present invention;

[0055] Figure 2 FIG. is a functional module diagram of an intelligent DC dimming control system based on hybrid carrier modulation provided by an embodiment of the present invention.

[0056] The realization, functional features and advantages of the object of the present invention will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0057] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0058] An embodiment of the present application provides an intelligent DC dimming control method based on hybrid carrier modulation. The execution subject of the intelligent DC dimming control method based on hybrid carrier modulation includes at least one of electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided in the embodiment of the present application. In other words, the intelligent DC dimming control method based on hybrid carrier modulation can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server, or a cloud server cluster, etc. The server can be an independent server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, Content Delivery Network (CDN), and big data and artificial intelligence platforms.

[0059] Referring to Figure 1 As shown, it is a schematic flowchart of an intelligent DC dimming control method based on hybrid carrier modulation provided by an embodiment of the present invention. In this embodiment, the intelligent DC dimming control method based on hybrid carrier modulation includes:

[0060] S1. Collect historical photometric data and target light intensity data of a target area, generate a multi-segment photometric mapping relationship according to the historical photometric data, and calculate the target brightness corresponding to the target light intensity data by using the multi-segment photometric mapping relationship.

[0061] In an embodiment of the present invention, the target area can be any space that needs lighting control, such as a home room, an office, a shopping mall, etc. The historical photometric data of the target area is collected, where the historical photometric data refers to the actual photometric conditions of the target area at different times and different environmental conditions in the past, and the target light intensity data refers to the light intensity data of the target area collected in real time at this moment.

[0062] Specifically, the historical photometric data of the target area can be collected from a pre-stored storage area through computer statements with data scraping functions (such as Java statements, Python statements, etc.), where the storage area includes but is not limited to a database, a blockchain, and the target light intensity data can be collected through a photometric sensor, and then the target light intensity data is collected based on the photometric sensor.

[0063] Furthermore, in different time periods and environmental conditions, the photometric change law of the target area may be different. Therefore, it is necessary to determine the brightness relationship between the environmental light data and the lighting device of the target area based on different time periods and environmental conditions.

[0064] In an embodiment of the present invention, the multi-segment photometric mapping relationship is composed of multiple piecewise functions, and each piecewise function corresponds to a value range of an independent variable (such as factors related to photometry such as time, ambient light intensity, etc.), representing the mapping relationship between ambient light data and the brightness of the lighting equipment in the target area.

[0065] In an embodiment of the present invention, generating the multi-segment photometric mapping relationship according to the historical photometric data includes:

[0066] Determining a preset target time period and preset target environmental conditions as grouping rules;

[0067] Dividing the historical photometric data according to the grouping rules to obtain historical photometric category data;

[0068] Fitting a pre-acquired mapping model according to the historical photometric category data;

[0069] Generating a multi-segment photometric mapping relationship according to the fitted mapping model and the historical photometric category data, where the multi-segment photometric mapping relationship is: Wherein, is the mapping model corresponding to the group of historical photometric category data at the moment, is the value range of the independent variable corresponding to the group of historical photometric category data.

[0070] Specifically, a preset target time period (such as different time periods like day and night) and preset target environmental conditions (such as sunny, cloudy, indoor and outdoor, etc.) are determined as grouping rules, that is, under different time periods and environmental conditions, the photometric change rules in the target area may be different. The historical photometric data is divided according to the grouping rules to obtain historical photometric data of different categories. For example, the photometric data on a sunny day during the day is grouped into one category, and the photometric data on a cloudy night is grouped into another category, etc. And according to the divided historical photometric category data, a pre-acquired mapping model (such as a linear model, a non-linear model, etc.) is fitted, that is, by methods such as the least squares method, the parameters of the model are adjusted so that the model can best describe the relationship between the photometric data and the brightness of the lighting equipment in the target area in this category of data. Furthermore, a multi-segment photometric mapping relationship is generated according to the fitted mapping model and the historical photometric category data. For example, within a certain time period during the day, the relationship between photometry and time may be linear; within a certain time period at night, the relationship between photometry and ambient light intensity may be another relationship.

[0071] Exemplarily, a day is divided into three time periods and further subdivided according to the weather conditions, and three groups of historical photometric category data are obtained. The first group: from 8 am to 12 pm, sunny day. After data fitting, the obtained mapping model , , represents the environmental light data at the t-th moment. The value is the environmental light data from 8 am to 12 pm. The second group: from 12 pm to 18 pm, sunny day. If the fitted mapping model is a quadratic model, then , then the value is the environmental light data from 12 pm to 18 pm. The third group: from 18 pm to 22 pm, indoor lighting (no external natural light influence). If the fitted mapping model is a constant model, then , the value is the environmental light data from 18 pm to 22 pm. Thus, a multi-segmented light intensity mapping relationship is generated according to different mapping models. For example, to calculate the brightness of the lighting device in the target area at 10 am, use to calculate, and thus obtain the corresponding brightness data.

[0072] Furthermore, a multi-segmented light intensity mapping relationship is generated according to the fitted mapping model and historical light intensity category data, and the target brightness of the lighting device corresponding to the target environmental light intensity data collected in the target area at different moments is calculated using this relationship.

[0073] In the embodiments of the present invention, the target brightness refers to the brightness data of the lighting device in the target area corresponding to the environmental light intensity data under the collected environmental conditions.

[0074] In the embodiments of the present invention, calculating the target brightness corresponding to the target light intensity data using the multi-segmented light intensity mapping relationship includes:

[0075] Identifying the time point of the target light intensity data;

[0076] Determining the target mapping model corresponding to the target light intensity data in the multi-segmented light intensity mapping relationship according to the time point;

[0077] Calculating the target brightness corresponding to the target light intensity data using the target mapping model.

[0078] Specifically, identify the collection time point of the target light intensity data, determine which time period or environmental conditions this time point is in, determine the target mapping model corresponding to the target light intensity data in the multi-segmented light intensity mapping relationship according to the time point. If the time point is in the evening and the environment is sunny, find the mapping model corresponding to this environmental condition, calculate the target brightness corresponding to the target light intensity data using the target mapping model, and substitute the relevant independent variables (such as time, environmental light intensity, etc.) in the target light intensity data into the target mapping model to obtain the target brightness value.

[0079] Further, based on the determined target brightness value of the lighting device in the target area, it is necessary to analyze whether this target brightness value conforms to the scene where the current target area is located, and then adjust the lighting data of the lighting device in the target area to meet the lighting conditions of the current scene.

[0080] S2. Detect the brightness adjustment signal of the target area, use a preset brightness conversion rule to determine the brightness adjustment intention corresponding to the brightness adjustment signal, and identify the dimming scene of the target area according to the brightness adjustment intention.

[0081] In the embodiment of the present invention, the brightness adjustment signal refers to various signals that can convey the intention of adjusting the illumination brightness of the target area. For example, the brightness adjustment signal of the target area is detected through various sensors (such as light sensors, human body sensors, etc.) or control devices (such as remote controls, smart switches, etc.). For example, when the user operates the buttons on the remote control (such as brightness increase button, brightness decrease button, brightness preset button, etc.), the remote control will emit a specific infrared signal or wireless signal (such as Bluetooth, Wi-Fi signal), and these signals carry the instruction information of the user's brightness adjustment. Or the ambient light sensor can detect the change in the illumination intensity of the environment around the target area. When the ambient light intensity changes, the sensor will output a corresponding electrical signal (such as an analog voltage signal or a digital signal).

[0082] Exemplarily, when the brightness increase button is pressed, the signal code sent by the remote control may correspond to the semantics of increasing brightness; for example, when the ambient light intensity decreases, the voltage signal output by the sensor may decrease. After receiving this signal, the dimming system will consider that it is necessary to increase the illumination brightness of the target area, and thus adjust the brightness according to the preset rules.

[0083] Further, a unified interpretation standard is constructed for different signals. Regardless of the form in which the signal appears, it can be accurately converted into the corresponding brightness adjustment intention according to the rules, avoiding the interpretation confusion caused by signal differences, and ensuring the stable and reliable operation of the dimming system.

[0084] In the embodiment of the present invention, the brightness adjustment intention refers to the specific direction and degree of adjusting the illumination brightness of the target area. The brightness adjustment intention may include various operation instructions related to brightness change, such as increasing brightness, decreasing brightness, adjusting the brightness to a specific value, quickly adjusting brightness, slowly adjusting brightness, etc. For example, in a home scene, when the user is resting at night, they may hope to set the brightness adjustment intention of the bedroom to reduce the brightness to a darker level to create a comfortable sleeping environment.

[0085] In the embodiment of the present invention, the step of using a preset brightness conversion rule to determine the brightness adjustment intention corresponding to the brightness adjustment signal includes:

[0086] Analyze the signal coding value of the brightness adjustment signal;

[0087] Correspond the signal coding value with the coding features in the brightness conversion rule;

[0088] Extract the coding semantics corresponding to the signal coding value after correspondence;

[0089] Identify the brightness adjustment intention corresponding to the brightness adjustment signal according to the coding semantics.

[0090] Specifically, the brightness adjustment signal usually exists in a specific coding form during transmission, which may be digital coding, specific parameter values of analog signals, etc. Analyzing the signal coding value is to process the received brightness adjustment signal and extract the coding information carried therein. For example, when sending a brightness adjustment signal through a remote control, the remote control will emit a series of infrared coding pulses. After the receiver of the dimming system receives these pulses, it will decode them and convert the pulse signal into a corresponding digital coding value, such as a binary code. Then, the signal coding value is corresponded with the coding features in the brightness conversion rule. The system has predefined the relationship between different coding features and brightness adjustment intentions. The brightness conversion rule defines a series of coding features, which are coding patterns or value ranges associated with specific brightness adjustment intentions. Compare the analyzed signal coding value with these coding features to find the matching coding feature. For example, the brightness conversion rule stipulates that the coding value 0x01 represents an increase in brightness by one level, and 0x02 represents a decrease in brightness by one level. When the analyzed signal coding value is 0x01, it is corresponded with the coding feature of increasing brightness by one level to ensure that each coding value can be accurately associated with a specific brightness adjustment intention.

[0091] Specifically, the coding semantics refers to the specific meaning or operation instruction corresponding to the coding feature. Once the signal coding value is successfully corresponded with the coding feature, the coding semantics represented by this coding value can be extracted. For example, when the signal coding value 0x01 is corresponded with the coding feature of increasing brightness by one level, increasing brightness by one level is the coding semantics of this coding value, which clarifies the specific brightness adjustment operation indicated by this coding value. Then, the coding semantics directly reflects the intention of the brightness adjustment signal. Furthermore, through the extracted coding semantics, the dimming system can accurately identify how the user hopes to adjust the brightness of the target area. For example, from the coding semantics indicating an increase in brightness by one level, it can be identified that the brightness adjustment intention is to increase the brightness of the target area by one level. If the coding semantics is to quickly reduce the brightness to 30%, then the brightness adjustment intention is to quickly adjust the brightness of the target area to the 30% level.

[0092] Furthermore, different dimming scenarios have different requirements for the duration and intensity of lighting. Reasonably identifying dimming scenarios helps optimize energy utilization. The usage situation of the target area may change at any time, and the lighting system needs to be able to quickly adapt to these changes. Therefore, identifying the brightness adjustment intention and dimming scenarios enables the lighting system to flexibly adjust according to actual needs.

[0093] In the embodiments of the present invention, the dimming scenario refers to a lighting mode scenario formed by making specific settings for parameters such as illumination brightness, color, and light distribution according to factors such as the usage purpose, environmental conditions, and user needs of the target area. Different dimming scenarios correspond to different lighting requirements and atmospheres, including but not limited to working scenarios, resting scenarios, entertainment scenarios, and display scenarios.

[0094] In the embodiments of the present invention, identifying the dimming scenario of the target area according to the brightness adjustment intention includes:

[0095] Determining the brightness range of the target area within a preset time period according to the brightness adjustment intention;

[0096] Dividing the area scenario of the target area and performing rule matching between the area brightness of the divided area scenario and the brightness range;

[0097] Determining the dimming scenario of the target area through the area scenario after rule matching.

[0098] Specifically, the brightness adjustment intention contains information such as the specific direction and degree that the user or system expects to adjust the brightness of the target area. The preset time period is a time interval preset according to the actual situation, such as different time periods within a day (daytime, evening), weekdays and rest days, etc. Then, according to the brightness adjustment intention, the brightness range of the target area within the preset time period is determined. If the brightness adjustment intention is to adjust the brightness to a level suitable for reading, and the preset time period is from 7 pm to 10 pm, then by querying the preset brightness standard suitable for reading, it is determined that the brightness range of the target area during this time period may be 300 - 500 lux. Different brightness adjustment intentions will correspond to different brightness ranges. For example, creating a romantic atmosphere may correspond to a relatively low brightness range, such as 20 - 50 lux.

[0099] Specifically, the target area can be divided into different area scenarios according to factors such as its function and layout. For example, in a family, the living room can be divided into a viewing area and a leisure area; in an office, it can be divided into an office area, a meeting room, a pantry, etc. Each area scenario has its own characteristics and the brightness usually required. Then, the area brightness of each divided area scenario is compared and matched with the previously determined brightness range. For example, it is determined whether the current brightness of the area scenario is within the determined brightness range, or whether the brightness change trend of the area scenario conforms to the change trend required by the brightness adjustment intention, etc. For example, in the living room of a family, the current brightness of the viewing area is 40 lux, and the brightness range suitable for viewing determined according to the brightness adjustment intention is 30 - 60 lux, then the brightness of the viewing area conforms to this rule match; if the current brightness of the leisure area is 150 lux, it does not conform to the brightness range rule suitable for viewing. After completing the rule match between the area scenario and the brightness range, the dimming scenario of the target area is determined according to the matching result. If the brightness of a certain or certain area scenarios conforms to the determined brightness range rule, then it can be determined that the target area

[0100] is in the dimming scenario corresponding to this brightness range. For example, in a family, if the brightness of both the viewing area and the leisure area in the living room conforms to the brightness range rule suitable for viewing, then it can be determined that the current target area (living room) is in the dimming scenario.

[0101] Furthermore, different dimming scenarios have different requirements for lighting characteristics, such as dimming accuracy, dimming range, and dimming speed, etc. In the rest scenario of a family bedroom, high dimming accuracy may not be required, but there are certain requirements for dimming speed to quickly adjust to a comfortable brightness; while for the jewelry display area in a shopping mall, extremely high dimming accuracy is required, accurate to within 1%, to highlight the details and luster of the exhibits. Therefore, in order to flexibly adjust the lighting characteristics, it is necessary to perform a mixed analysis of different carrier modulations.

[0102] S3. Determine the mixed carrier modulation scenario mode of the target area through the dimming scenario, analyze the modulation parameters corresponding to the brightness adjustment intention using the mixed carrier modulation scenario mode, and perform modulation analysis on the dimming device of the target area according to the modulation parameters to obtain a modulation signal.

[0103] In the embodiment of the present invention, the mixed carrier modulation scenario mode refers to a dimming control method in a specific dimming scenario, where two or more different types of carriers are mixed, and by adjusting their mixing ratio and modulation parameters, specific lighting characteristic requirements are achieved.

[0104] In the embodiment of the present invention, the determining the mixed carrier modulation scenario mode of the target area through the dimming scenario includes:

[0105] Extract the lighting characteristics in the dimming scenario;

[0106] Determine the carrier type characteristics corresponding to the target area according to the lighting characteristics;

[0107] Determine the hybrid carrier modulation scenario mode of the target area according to the carrier type characteristics.

[0108] Specifically, the lighting characteristics are the key parameters describing the lighting conditions in the dimming scenario, reflecting the specific lighting requirements in this scenario. The lighting characteristics include dimming accuracy, dimming range, and dimming speed. Dimming accuracy refers to the degree to which the light intensity can be precisely adjusted; the dimming range refers to the upper and lower limits of the adjustable light intensity, and the dimming speed refers to the speed of change of the light intensity. Different types of carriers have different electrical characteristics, and there is a certain corresponding relationship between these characteristics and the lighting characteristics. According to the extracted lighting characteristics, a suitable carrier type can be selected to meet the scenario requirements.

[0109] Specifically, the carrier types include triangular carrier, square wave carrier, sine carrier, etc. The triangular carrier has a triangular waveform and relatively smooth changes, making the brightness adjustment more delicate during dimming and reducing the flicker. It is suitable for scenarios with high requirements for dimming accuracy and smooth dimming, such as the jewelry display area in a shopping mall; the square wave carrier has the characteristic of fast switching and can achieve high-frequency dimming control, which is suitable for scenarios where the brightness needs to be changed quickly, such as the rapid lighting change effect in stage performances; the sine carrier has a sine curve waveform and stable and continuous dimming characteristics. In some scenarios with high requirements for dimming stability, such as hospital operating room lighting, the sine carrier can provide a stable light output. After determining the suitable carrier type, according to the actual scenario requirements, different types of carriers are mixed and modulated to form a hybrid carrier modulation scenario mode. Furthermore, by adjusting the mixing ratio and modulation parameters of different carriers, more flexible and diverse dimming effects can be achieved.

[0110] Exemplarily, in home living room lighting, in order to achieve different brightness modes, such as higher brightness during daily activities and lower brightness during movie viewing, a mixture of triangular carrier and square wave carrier may be used. In the daily activity mode, the proportion of the triangular carrier is higher to provide stable and delicate brightness adjustment; in the movie viewing mode, the proportion of the square wave carrier is appropriately increased to achieve rapid brightness reduction; commercial exhibition halls for displaying jewelry require high-brightness and high-contrast lighting, and a mixture of sine carrier and triangular carrier is needed; industrial workshop lighting needs to be dimmed flexibly according to different working periods and working areas. During normal working hours, high-brightness lighting is required in some areas; during night shift hours, the overall brightness requirement decreases, and PWM - PFM (Pulse Width Modulation - Pulse Frequency Modulation) hybrid modulation is used.

[0111] Furthermore, the hybrid carrier modulation scenario mode can dynamically analyze and adjust modulation parameters according to real-time environmental changes and brightness adjustment intentions. When the ambient light is strong during the day, appropriate modulation parameters will be analyzed based on the brightness adjustment intention and the data of the ambient light sensor, reducing the brightness output of the lighting device to save energy; while when the ambient light is weak at night, the brightness output will be increased accordingly to ensure the lighting effect.

[0112] In the embodiments of the present invention, the modulation parameter refers to the duty cycle corresponding to each carrier modulation in the hybrid carrier modulation scenario mode. Thus, according to the calculated modulation parameters, the changes of parameters such as the voltage and frequency of each carrier can be controlled, and the brightness of the light can be controlled to achieve the goal of accurately adjusting from the current brightness to the required brightness in the brightness adjustment intention.

[0113] In the embodiments of the present invention, analyzing the modulation parameters corresponding to the brightness adjustment intention by using the hybrid carrier modulation scenario mode includes:

[0114] Determining the required brightness of the target area according to the brightness adjustment intention;

[0115] Determining the mixing ratio in the hybrid carrier modulation scenario mode through the brightness adjustment intention;

[0116] Calculating the modulation parameters corresponding to each carrier modulation in the hybrid carrier modulation scenario mode through the required brightness and the mixing ratio, where the modulation parameter calculation formula is: Wherein, is the modulation parameter corresponding to the th carrier modulation, is the required brightness, is the mixing ratio of the th carrier modulation, is the modulation environment interference correction factor, is the th carrier modulation sensitivity coefficient, is the real-time temperature, is the reference temperature, is the th carrier modulation aging influence coefficient, is a constant, is the aging rate constant, is the real-time time.

[0117] Specifically, based on factors such as the brightness adjustment intention, the function of the target area, the current environment, and the preset brightness standard, a specific brightness value, i.e., the required brightness, is determined. For example, according to the size of the meeting room, the brightness of the projection, and the conditions for comfortable viewing by the human eye, etc., it is determined that the required brightness of the target area during projection display is 100 lux. Hybrid carrier modulation is to mix various different types of carrier signals in a certain proportion and use them to control the brightness adjustment of devices such as lights. Different carrier signals have different characteristics. For example, sinusoidal carriers can achieve relatively smooth brightness adjustment, and square wave carriers have advantages in aspects such as quickly switching brightness. The mixing ratio of various carriers is determined according to the brightness adjustment intention. If the brightness adjustment intention is to achieve rapid and large-scale brightness changes, the mixing ratio of square wave carriers may be increased. If it is to achieve soft and precise brightness adjustment, the ratio of sinusoidal carriers, etc., may be increased. For example, in a stage performance scenario, in order to cooperate with the rapidly changing lighting effects, the mixing ratio of square wave carriers may be set to 60% and the sinusoidal carrier to 40%.

[0118] Specifically, the modulation parameters corresponding to each carrier modulation determine the ratio of the conduction time to the total cycle time of each carrier in one cycle, which directly affects the final brightness adjustment effect. In the hybrid carrier modulation scenario mode, different carriers may have different roles and contributions, reflecting the relative importance of the th carrier in the entire hybrid modulation. Its value range is usually between 0 and 1, and the sum of the mixing ratios of all carriers is 1. In actual applications, the modulation process may be interfered by various environmental factors, such as electromagnetic interference, temperature changes, etc., which are used to correct these interference factors to make the calculated modulation parameters more in line with the actual situation. When the environmental interference is small, is close to 1. When the interference is large, it will be adjusted accordingly according to the degree of interference. Usually, the modulation environment interference correction factor is configured to 0.5, and the influence of temperature on carrier modulation is considered, which reflects the sensitivity of the carrier to temperature changes. The sensitivity is the difference between the real-time temperature and the reference temperature. When the real-time temperature deviates from the reference temperature , the modulation parameters will be adjusted to compensate for the influence of temperature changes on brightness. For example, if is positive and , then this part of the value will be greater than 1, causing the modulation parameter to increase accordingly to maintain or adjust the brightness. The aging effect of carrier modulation is also considered. As time increases, will gradually decrease, will gradually increase, and then multiplied by This will gradually reduce the value of this part, thereby causing the modulation parameters to be adjusted accordingly to adapt to the performance changes of the carrier due to aging, ensuring the accuracy and stability of brightness adjustment. By clarifying the required brightness and the mixing ratio , it is possible to calculate the modulation parameters of each carrier specifically according to the specific brightness adjustment intention, achieve precise control of the brightness of the target area, meet the brightness requirements in different scenarios, and introduce a modulation environment interference correction factor , which can effectively compensate for the influence of environmental interference on the modulation process, make the brightness adjustment not overly interfered by external factors, improve the stability and reliability of the system, and ensure that the brightness adjustment can be accurately achieved under various environmental conditions. Based on the hybrid carrier modulation scenario mode, different carriers are allowed to be combined and modulated according to their respective mixing ratios, which can give full play to the advantages of different carriers, achieve a more flexible and efficient brightness adjustment scheme, and adapt to complex and variable dimming requirements.

[0119] Furthermore, through the required brightness in the modulation parameters, the expected brightness level that the target area is to achieve can be clarified. The dimming device needs to adjust the output light intensity according to this parameter to meet the lighting requirements in a specific environment. Reasonable modulation parameters can enable the dimming device to accurately adjust the brightness according to the actual needs, avoid over-illumination or under-illumination, and thus achieve efficient use of energy.

[0120] In the embodiments of the present invention, the modulation signal refers to the signal obtained after modulating the carrier. The modulation signal can accurately convey the control instructions for the dimming device, enabling the dimming device to work in the expected manner to meet the lighting requirements in different scenarios.

[0121] In the embodiments of the present invention, the modulation analysis of the dimming device in the target area according to the modulation parameters to obtain the modulation signal includes:

[0122] Extracting the carrier parameters of each carrier modulation in the hybrid carrier modulation scenario mode;

[0123] Calculating the signal level time of each carrier modulation according to the carrier parameters and the modulation parameters;

[0124] Generating a carrier signal corresponding to each carrier modulation according to the signal level time;

[0125] Performing signal superposition on the carrier signals to obtain the modulation signal of the dimming device in the target area.

[0126] Specifically, in the hybrid carrier modulation scenario mode, there are multiple different types of carriers participating in the modulation, and each carrier has its specific parameters. The carrier parameters include the frequency of the carrier (indicating the number of periodic changes of the carrier per unit time, with the unit of Hertz, Hz), amplitude (the maximum amplitude value of the carrier signal, reflecting the strength of the signal), phase (describing the state of the carrier signal at a certain moment, related to the starting position of the signal), etc. Furthermore, by combining the modulation parameters with the carrier parameters, the signal level time modulated by each carrier is calculated. The signal level time is the duration of the carrier signal in the high-level and low-level states.

[0127] Specifically, according to the calculated signal level time, corresponding carrier signals are generated according to the type and characteristics of the carriers. For a square wave carrier, according to the high-level time and low-level time, high-level and low-level signals are output within the corresponding time periods to form a square wave-shaped carrier signal; for a triangular carrier, according to parameters such as its rise time, fall time, and signal level time, a triangular wave signal with linear rise and fall characteristics is generated. Then, the generated carrier signals of each carrier are superimposed. The signals of different carriers are added through appropriate circuit elements (such as adders, etc.) to obtain the final modulation signal. The modulation signal synthesizes the characteristics of each carrier and is used to control the dimming device in the target area.

[0128] Exemplarily, taking one PWM cycle as an example, the triangular carrier rises from 0V to 3V and then falls to 0V within one cycle, and the square wave carrier switches between high and low levels at a frequency of 40 kHz within one cycle. Within each PWM cycle, the high-level time is determined according to the equivalent duty cycle. For the triangular carrier, the high-level time ; for the square wave carrier, the high-level time . Then, the signals of the two carriers are superimposed and logically operated to generate the final PWM signal. After the generated PWM signal is processed by a power amplification circuit, it is output to the drive circuit of the lighting device. The power amplification circuit amplifies the voltage amplitude of the PWM signal to a level capable of driving the lighting device. For example, it amplifies a 3.3 V PWM signal to 24 V.

[0129] Furthermore, when the dimming device is working, it needs to operate based on a stable DC level or reference value. In order to accurately control the dimming device, a specific DC voltage or current is required to determine the basic brightness level of the light.

[0130] S4. Determine the modulation DC data of the target area according to the modulation signal, calculate the adjustment amount corresponding to the dimming device by using a preset closed-loop control algorithm and the modulation DC data, and generate the dual dimming curve parameters of the target area according to the adjustment amount.

[0131] In the embodiments of the present invention, the modulated DC data refers to the DC component information remaining after removing the AC variation part from the modulated signal, representing the average level or reference value of the modulated signal over a relatively long time period. For example, in a dimming system, the modulated signal may be a periodically varying voltage or current signal, and the modulated DC data therein corresponds to the average voltage or current value of this signal over one complete cycle or multiple cycles. This value determines the basic operating state of the dimming device, such as the basic brightness level of the light, etc.

[0132] Specifically, high-frequency noise in the modulated signal is removed by filtering to make the signal smoother and more stable, so as to more accurately extract the DC component therein. The preprocessed modulated signal is analyzed in the time domain or frequency domain, the signal is transformed from the time domain to the frequency domain to obtain the spectral distribution of the signal, thereby clarifying the proportion of different frequency components in the signal. Then, the DC component in the modulated signal is extracted through low-pass filtering. The DC component corresponds to zero frequency or extremely low frequency in the frequency domain, and the low-pass filter allows low-frequency signals to pass through while blocking high-frequency AC components. The signal after low-pass filtering mainly contains the DC component, that is, the modulated DC data.

[0133] Furthermore, the modulated DC data reflects the actual operating state of the current dimming device. In order to determine the ideal DC data corresponding to the target brightness, it is necessary to calculate the corresponding adjustment amount so that the dimming device can make precise adjustments according to the actual situation, thereby ensuring the accuracy of dimming.

[0134] In the embodiments of the present invention, the adjustment amount refers to the value by which the control parameters (such as input current, voltage, etc.) of the dimming device need to be adjusted in order to make the actual output brightness of the dimming device reach the target brightness.

[0135] In the embodiments of the present invention, calculating the adjustment amount corresponding to the dimming device by using the preset closed-loop control algorithm and the modulated DC data includes:

[0136] Determining the actual brightness data corresponding to the modulated DC data according to the pre-acquired current and brightness characteristic curve of the dimming device;

[0137] Calculating the control amount corresponding to the actual brightness data by using the following closed-loop control algorithm: Wherein, is the control amount, is the proportional coefficient, is the integral coefficient, is the differential coefficient, is the target brightness data, is the actual brightness data, is the brightness error at the is the The brightness error at a moment is the brightness error at the moment;

[0138] Superimpose the control quantity and the target brightness data to obtain the adjustment quantity corresponding to the dimming device.

[0139] Specifically, the current and brightness characteristic curve of the dimming device is obtained through a large number of experiments and tests on the dimming device. It reflects the actual output brightness corresponding to the dimming device under different input currents (related to the modulated DC data). Through the pre-acquired characteristic curve, the actual brightness data corresponding to the current modulated DC data can be found, and then the control quantity is calculated through the closed-loop control algorithm. The proportional coefficient calculates the control quantity proportionally according to the error between the current actual brightness data and the target brightness data. The larger the error, the stronger the control effect generated by the proportional term, enabling the dimming device to quickly approach the target brightness; the integral coefficient eliminates the steady-state error of the system. Even when the proportional term has made the actual brightness close to the target brightness, the integral term will continuously accumulate the error, enabling the system to further adjust and finally making the actual brightness accurately reach the target brightness; the differential coefficient adjusts the control quantity in advance according to the change trend of the error. When the error changes rapidly, the differential term will generate a large control effect to suppress the rapid change of the error, having better stability and dynamic response performance.

[0140] Specifically, superimpose the calculated control quantity and the target brightness data to obtain the adjustment quantity corresponding to the dimming device. Determine the amplitude that the dimming device finally needs to adjust according to the control quantity. If the control quantity is positive, it means that the brightness needs to be increased, and the obtained adjustment quantity after superposition will make the dimming device increase the output brightness; if the control quantity is negative, it means that the brightness needs to be decreased, and the adjustment quantity after superposition will make the dimming device decrease the output brightness, thereby realizing the precise control of the dimming device and enabling it to reach the desired working state.

[0141] Exemplarily, the actual current detected by the current sensor for the lighting device is 0.2A. According to the current-brightness characteristic curve of the lighting device, the actual brightness is converted to 42%, which has a deviation from the target brightness of 45%. Then, use the PID control algorithm for adjustment. Let the proportional coefficient , the integral coefficient , the differential coefficient , calculate the error , according to the PID control algorithm formula (where ΔD is the duty cycle adjustment quantity, is the error at the moment), calculate the duty cycle adjustment quantity ΔD. Assume that after calculation , then adjust the duty cycle of the PWM signal to , perform modulation and output again to make the brightness approach the target brightness.

[0142] Furthermore, generate double dimming curve parameters for the target area according to the adjustment amount. The double dimming curve includes a reference curve generated from the target reference brightness of the adjustment curve corresponding to the adjustment amount at different times. Thus, by superimposing the double dimming curve parameters, the characteristics of the two dimming curves can be integrated to achieve more flexible and finer brightness adjustment.

[0143] S5. Superimpose the double dimming curve parameters to obtain a superimposed dimming curve, and analyze the dimming control state according to the superimposed dimming curve.

[0144] In the embodiment of the present invention, the superimposed dimming curve refers to a new curve obtained by performing a superimposing operation on two dimming curves (adjustment curve and reference curve) with different functions or characteristics, integrating the eigenvalue information of the original two curves and the difference information of their change rates, and being able to describe the state or response of the dimming device at different times more comprehensively and flexibly.

[0145] In the embodiment of the present invention, the superimposing the double dimming curve parameters to obtain a superimposed dimming curve includes:

[0146] Identify the curve feature points of the double dimming curve parameters;

[0147] Align the curve feature points, and superimpose the eigenvalues corresponding to the aligned curve feature points to obtain a superimposed dimming curve, where the superimposing formula is: Where, is the superimposed dimming curve, is the eigenvalue of the adjustment curve in the double dimming curve corresponding to the th moment, the th moment, the eigenvalue of the reference curve in the double dimming curve, is the curve change adjustment coefficient, is the change rate corresponding to the dimming curve, is the change rate corresponding to the reference curve.

[0148] Specifically, the curve feature points of the double dimming curve parameters refer to the point sets in the adjustment curve and the point sets in the reference curve. Since there are differences in the brightness values of the two dimming curves, in order to reasonably superimpose them, their feature points need to be aligned. The two curves respectively represent the brightness changes in different time periods. Then, aligning the feature points is to determine the corresponding states of the two curves at the same time scale. After aligning the feature points, perform a superimposing operation on the eigenvalues of these corresponding points.

[0149] Specifically, in the superposition operation, the curve change adjustment coefficient is used to adjust the influence degree of the difference in the change rates of two curves on the superposition result. If , then the superposition result only depends on the sum of the eigenvalue of the two curves, without considering the difference in the change rates; if is relatively large, then the difference in the change rates will have a more obvious influence on the superposition result. By adjusting the value of α, the superposition effect can be flexibly controlled according to actual needs. And represents the degree of change speed of the adjustment curve at the moment. For example, it can be the change speed of brightness over time. is the change rate of the reference curve at the moment, which reflects the change speed of the physical quantity represented by the reference curve. Thus, the superposition dimming curve synthesizes the information of the two original dimming curves and the influence of the difference in their change rates on the result. Considering the curve change rate can more accurately reflect the influence of this dynamic difference on the superposition result. For example, in the simulation of natural light in different seasons, the light intensity increases rapidly during the day in summer and slowly in winter. By considering the curve change rate, the simulated light effect can be made more in line with the actual seasonal change characteristics, enabling the superposition dimming curve to more accurately simulate the light changes in different seasons.

[0150] Exemplarily, in stage lighting design, if it is desired to precisely control the change of light brightness according to the rhythm of the performance plot, simply considering the sum of the eigenvalues of the adjustment curve and the reference curve at each moment may not achieve a delicate brightness transition effect. At this time, adding the consideration of the curve change rates and can further fine-tune the superposition result according to the change speeds of the two curves at different moments, making the final lighting effect perfectly match the performance rhythm. When , the curve change rates and will have an impact on the superposition result. As the curve change adjustment coefficient, the larger its absolute value, the greater the influence of the curve change rate on the superposition dimming curve . For example, when , the contribution of the difference in the curve change rates to the superposition result is equally important as that of and ; when , the influence weight of the difference in the curve change rates is greater, and it can more significantly change the superposition effect to achieve a more precise adjustment.

[0151] Further, the peak value on the superimposed dimming curve represents the maximum brightness output point reached by the dimming device, and the valley value represents the minimum brightness output point. When the maximum brightness output point and the minimum brightness output point are consistent with the brightness values on the reference curve, it indicates that the dimming control state is in the best state. If there are differences, it means that there may be problems with the dimming control, and the dimming control state is in a deficient state. It is still necessary to continue analyzing the adjustment amount until the output points on the superimposed dimming curve are consistent with the brightness values on the reference curve, indicating that the best dimming control state is achieved. Therefore, through comprehensive analysis of the superimposed dimming curve, the working state of the dimming device and the effect of dimming control can be comprehensively understood, problems can be discovered in a timely manner, and adjustments and optimizations can be made to achieve more accurate, efficient, and energy-saving dimming control.

[0152] In the embodiment of the present invention, by collecting historical photometric data to generate a multi-segment photometric mapping relationship, it is possible to more accurately calculate the target brightness that meets the actual requirements according to the target light intensity data; according to different dimming scenarios, such as meeting scenarios, leisure scenarios, etc., targeted dimming control is carried out to provide a lighting effect that better meets the scenario requirements and improves the user experience; according to different dimming scenarios, the corresponding hybrid carrier modulation scenario mode is determined to make the modulation parameters match the scenario requirements and ensure that the dimming device can work in the best way in different scenarios; determining the modulation DC data provides basic data for accurately controlling the dimming device. Combining with the closed-loop control algorithm to calculate the adjustment amount, the working state of the dimming device can be continuously adjusted according to the actual situation to make it closer to the target brightness; the superimposed dimming curve obtained by superimposing the dual dimming curve parameters synthesizes various dimming factors and conditions and can more comprehensively reflect the working state of the dimming device and the effect of dimming control. Therefore, the intelligent DC dimming control method and system based on hybrid carrier modulation proposed by the present invention can solve the problem of low accuracy in intelligent dimming control.

[0153] As Figure 2 shown, it is a functional module diagram of an intelligent DC dimming control system based on hybrid carrier modulation provided by an embodiment of the present invention.

[0154] The intelligent DC dimming control system 100 based on hybrid carrier modulation described in the present invention can be installed in an electronic device. According to the functions achieved, the intelligent DC dimming control system 100 based on hybrid carrier modulation can include a target brightness calculation module 101, a dimming scenario recognition module 102, a modulation analysis module 103, a dual dimming curve parameter generation module 104, and a dimming control state analysis module 105. The modules described in the present invention can also be referred to as units, which refer to a series of computer program segments that can be executed by a processor of an electronic device and can complete fixed functions, and are stored in the memory of the electronic device.

[0155] In this embodiment, the functions of each module / unit are as follows:

[0156] The target brightness calculation module 101 is configured to collect historical photometric data and target light intensity data of a target area, generate a multi-segment photometric mapping relationship based on the historical photometric data, and calculate the target brightness corresponding to the target light intensity data by using the multi-segment photometric mapping relationship;

[0157] The dimming scene recognition module 102 is configured to detect a brightness adjustment signal of the target area, determine a brightness adjustment intention corresponding to the brightness adjustment signal by using a preset brightness conversion rule, and identify a dimming scene of the target area according to the brightness adjustment intention;

[0158] The modulation analysis module 103 is configured to determine a hybrid carrier modulation scene mode of the target area through the dimming scene, analyze modulation parameters corresponding to the brightness adjustment intention by using the hybrid carrier modulation scene mode, and perform modulation analysis on a dimming device of the target area according to the modulation parameters to obtain a modulation signal;

[0159] The dual dimming curve parameter generation module 104 is configured to determine modulation DC data of the target area according to the modulation signal, calculate an adjustment amount corresponding to the dimming device by using a preset closed-loop control algorithm and the modulation DC data, and generate dual dimming curve parameters of the target area according to the adjustment amount;

[0160] The dimming control state analysis module 105 is configured to superimpose the dual dimming curve parameters to obtain a superimposed dimming curve, and analyze a dimming control state according to the superimposed dimming curve.

[0161] Specifically, each module in the intelligent DC dimming control system 100 with hybrid carrier modulation in the embodiments of the present invention adopts the same technical means as those in the above Figure 1 and can produce the same technical effects, which will not be elaborated here.

[0162] In several embodiments provided by the present invention, it should be understood that the disclosed system and method can be implemented in other ways. For example, the system embodiments described above are merely illustrative. For example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0163] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0164] In addition, in each embodiment of the present invention, each functional module can be integrated into a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware, or in the form of a combination of hardware and software functional modules.

[0165] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms.

[0166] Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is not limited only by the above description. Therefore, it is intended to include all changes within the meaning and scope of equivalent elements falling within the protection scope in the present invention.

[0167] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is a theory, method, technology, and application system that uses a digital computer or a machine controlled by a digital computer to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use knowledge to obtain the best results.

[0168] In addition, obviously, the word "including" does not exclude other units or steps, and the singular does not exclude the plural. The multiple units or systems stated in the system claims can also be implemented by one unit or system through software or hardware. The terms first, second, etc. are used to denote names and do not denote any particular order.

[0169] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A hybrid carrier modulation intelligent DC dimming control method, characterized in that: The method comprises: Collect historical photometric data and target light intensity data of the target area, generate a multi-segment photometric mapping relationship according to the historical photometric data, and calculate the target brightness corresponding to the target light intensity data using the multi-segment photometric mapping relationship; Detecting a brightness adjustment signal of a target area, determining a brightness adjustment intention corresponding to the brightness adjustment signal using a preset brightness conversion rule, and identifying a dimming scene of the target area according to the brightness adjustment intention; Determine a hybrid carrier modulation scene mode of a target area through the dimming scene, analyze modulation parameters corresponding to the brightness adjustment intention using the hybrid carrier modulation scene mode, and perform modulation analysis on a dimming device in the target area according to the modulation parameters to obtain a modulation signal; Determine the modulated DC data of the target area according to the modulated signal, calculate the adjustment amount corresponding to the dimming device using a preset closed-loop control algorithm and the modulated DC data, and generate the dual dimming curve parameters of the target area according to the adjustment amount; The dual dimming curve parameters are superimposed to obtain a superimposed dimming curve, including: identifying curve feature points of the dual dimming curve parameters; aligning the curve feature points, and superimposing feature values ​​corresponding to the aligned curve feature points to obtain a superimposed dimming curve, wherein the superimposition formula is: in, To superimpose the dimming curve, For the The characteristic value of the adjustment curve in the dual dimming curve corresponding to the moment, No. The characteristic value of the reference curve in the dual dimming curve corresponding to the time, is the curve change adjustment coefficient, is the change rate corresponding to the dimming curve, is the rate of change corresponding to the reference curve; The dimming control state is analyzed according to the superimposed dimming curve.

2. The intelligent DC dimming control method of hybrid carrier modulation according to claim 1, characterized in that: The generating a multi-segment photometric mapping relationship according to the historical photometric data comprises: Determine a preset target time period and a preset target environmental condition as a grouping rule; Dividing the historical photometric data according to the grouping rule to obtain historical photometric category data; fitting a pre-acquired mapping model according to the historical photometric category data; A multi-segment photometric mapping relationship is generated according to the fitted mapping model and the historical photometric category data, wherein the multi-segment photometric mapping relationship is: in, For the Group historical photometric category data in The mapping model corresponding to the moment, For the The value range of the independent variable corresponding to the group historical luminosity category data.

3. The intelligent DC dimming control method of hybrid carrier modulation as claimed in claim 1, characterized in that: The calculating the target brightness corresponding to the target light intensity data by using the multi-segment photometric mapping relationship includes: Identifying a time point of the target light intensity data; Determine a target mapping model corresponding to the target light intensity data in the multi-segment photometric mapping relationship according to the time point; The target brightness corresponding to the target light intensity data is calculated using the target mapping model.

4. The intelligent DC dimming control method of hybrid carrier modulation as claimed in claim 1, characterized in that: The determining the brightness adjustment intention corresponding to the brightness adjustment signal by using a preset brightness conversion rule includes: parsing a signal coding value of the brightness adjustment signal; Matching the signal coding value with the coding feature in the brightness conversion rule; Extract the encoding semantics corresponding to the corresponding signal encoding value; A brightness adjustment intention corresponding to the brightness adjustment signal is identified according to the encoding semantics.

5. The intelligent DC dimming control method of hybrid carrier modulation as claimed in claim 1, characterized in that: The step of identifying a dimming scene of a target area according to the brightness adjustment intention includes: Determining a brightness range of the target area within a preset time period according to the brightness adjustment intention; Dividing the regional scene of the target area, and matching the regional brightness of the divided regional scene with the brightness range according to a rule; The dimming scene of the target area is determined by the regional scene after rule matching.

6. The intelligent DC dimming control method of hybrid carrier modulation as claimed in claim 1, characterized in that: The step of determining the hybrid carrier modulation scene mode of the target area through the dimming scene includes: Extracting illumination features in the dimming scene; Determine the carrier type feature corresponding to the target area according to the illumination feature; A mixed carrier modulation scenario mode of a target area is determined according to the carrier type characteristics.

7. The intelligent DC dimming control method of hybrid carrier modulation as claimed in claim 1, characterized in that: The analyzing the modulation parameters corresponding to the brightness adjustment intention by using the mixed carrier modulation scene mode includes: Determining the required brightness of the target area according to the brightness adjustment intention; Determining a mixing ratio in the mixed carrier modulation scene mode according to the brightness adjustment intention; The modulation parameter corresponding to each carrier modulation in the mixed carrier modulation scene mode is calculated by the required brightness and the mixing ratio, wherein the modulation parameter calculation formula is: in, For the The modulation parameters corresponding to the carrier modulation are: is the required brightness, For the The mixing ratio of the carrier modulation, is the modulation environmental interference correction factor, For the The sensitivity coefficient of the carrier modulation is is the real-time temperature, is the reference temperature, For the The aging influence coefficient of the carrier modulation is is a constant, is the aging rate constant, The real time.

8. The intelligent DC dimming control method of hybrid carrier modulation as claimed in claim 1, characterized in that: The step of performing modulation analysis on the dimming device in the target area according to the modulation parameters to obtain a modulation signal includes: Extracting carrier parameters of each carrier modulation in the mixed carrier modulation scenario mode; Calculate the signal level time of each carrier modulation according to the carrier parameters and the modulation parameters; Generate a carrier signal corresponding to each carrier modulation according to the signal level time; The carrier signals are superimposed to obtain a modulation signal of a dimming device in a target area.

9. The intelligent DC dimming control method of hybrid carrier modulation as claimed in claim 1, characterized in that: The method of calculating the adjustment amount corresponding to the dimming device by using a preset closed-loop control algorithm and the modulated DC data includes: Determine actual brightness data corresponding to the modulated DC data according to a current and brightness characteristic curve of a dimming device acquired in advance; The control amount corresponding to the actual brightness data is calculated using the closed-loop control algorithm described below: in, is the control quantity, is the proportionality coefficient, is the integration coefficient, is the differential coefficient, is the target brightness data, is the actual brightness data, For the The brightness error at the moment, For the The brightness error at the moment, For the Brightness error at the moment; The control amount is superimposed on the target brightness data to obtain an adjustment amount corresponding to the dimming device.

10. An intelligent DC dimming control system with hybrid carrier modulation, characterized in that: The intelligent DC dimming control method for performing hybrid carrier modulation according to any one of claims 1 to 9, the system comprising: A target brightness calculation module is used to collect historical photometric data and target light intensity data of a target area, generate a multi-segment photometric mapping relationship according to the historical photometric data, and calculate the target brightness corresponding to the target light intensity data using the multi-segment photometric mapping relationship; A dimming scene recognition module is used to detect a brightness adjustment signal of a target area, determine a brightness adjustment intention corresponding to the brightness adjustment signal by using a preset brightness conversion rule, and identify a dimming scene of the target area according to the brightness adjustment intention; A modulation analysis module, used to determine a hybrid carrier modulation scene mode of a target area through the dimming scene, analyze modulation parameters corresponding to the brightness adjustment intention using the hybrid carrier modulation scene mode, and perform modulation analysis on a dimming device in the target area according to the modulation parameters to obtain a modulation signal; A dual dimming curve parameter generation module, used to determine the modulated DC data of the target area according to the modulation signal, calculate the adjustment amount corresponding to the dimming device using a preset closed-loop control algorithm and the modulated DC data, and generate the dual dimming curve parameters of the target area according to the adjustment amount; The dimming control state analysis module is used to superimpose the dual dimming curve parameters to obtain a superimposed dimming curve, including: identifying the curve feature points of the dual dimming curve parameters; aligning the curve feature points, superimposing the feature values ​​corresponding to the aligned curve feature points, and obtaining a superimposed dimming curve, wherein the superposition formula is: in, To superimpose the dimming curve, For the The characteristic value of the adjustment curve in the dual dimming curve corresponding to the moment, No. The characteristic value of the reference curve in the dual dimming curve corresponding to the time, is the curve change adjustment coefficient, is the change rate corresponding to the dimming curve, is the rate of change corresponding to the reference curve; The dimming control state is analyzed according to the superimposed dimming curve.

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