Intelligent control system for single-live-wire multi-dimensional chopping phase-cut fan lamp

Abstract

The invention relates to the technical field of intelligent equipment control, in particular to a single-live-wire multi-dimensional chopping phase-cut fan lamp intelligent control system, which comprises a single-live-wire input, a main control processor, a load driver, a multi-dimensional sensor and a communication module, and is characterized in that the multi-dimensional sensor is used for acquiring temperature, humidity, human body existence state and ambient illuminance data. According to the system, the target rotating speed of the fan and the target brightness of the lamp are calculated through a multi-dimensional weighted decision algorithm, chopping and phase cutting control signals are generated, and fan PWM chopping stepless speed regulation and lamp phase cutting stepless dimming are achieved through a load driving module; a dynamic smooth transition mechanism is provided to avoid sudden change of rotating speed and brightness; an adaptive learning algorithm is also included, and weight coefficients are optimized to fit user habits; the communication module supports Wi-Fi, Bluetooth or Zigbee protocols and can be in butt joint with an intelligent home cloud platform, a mobile terminal APP and the like, intelligent and convenient control is achieved, and the use comfort and compatibility are improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent device control technology, specifically to an intelligent control system for a single-wire multi-dimensional chopper phase-cutting fan light. Background Technology

[0002] With the popularization of IoT and smart home technologies, integrated lighting and ventilation fan lights are increasingly popular in the market due to their space-saving and multifunctionality. Their intelligent control system, as the core, directly determines the quality of the user experience. However, existing intelligent fan light control systems still have many limitations in terms of technical implementation and user experience that urgently need to be addressed, mainly in the following aspects:

[0003] 1. Installation compatibility and power supply reliability issues:

[0004] Many smart fans, lights, and switches require both a live and a neutral wire to provide a continuous and stable power supply to their internal control circuits. However, many older residential buildings only have a single live wire pre-installed in their wall switch boxes, lacking a neutral wire circuit. This results in significant costs and complex engineering work for users during upgrades, severely limiting the widespread adoption and application of smart products. Furthermore, a compromise solution is battery power, but this brings the hassle of regular battery replacements, and a depleted battery can cause the device to completely lose connection, leading to poor reliability.

[0005] 2. Low level of automation and simple control strategy:

[0006] While most products on the market support app or remote control, their automation logic is often very simple and rigid. For example, lighting control typically relies solely on simple human presence sensing ("lights turn on when someone enters, lights turn off when someone leaves") or simply switches on and off based on ambient light thresholds, failing to steplessly adjust brightness according to ambient light levels to provide optimal illumination. Fan controls mostly only allow manual setting of fixed speeds or rely solely on temperature thresholds for start / stop, lacking collaborative control strategies that integrate multi-dimensional environmental parameters such as temperature, humidity, and user status for refined and intelligent decision-making. The system fails to automatically provide a truly "comfortable" dynamic environment for the user, rendering its "intelligent" features misleading.

[0007] 3. The control experience is abrupt and lacks personalization:

[0008] In the adjustment process, the traditional gear switching mode will cause the fan speed and light brightness to appear stepwise mutation. The sudden high-speed start of the fan will produce uncomfortable noise and air flow impact, and the instantaneous change of the lamp brightness will stimulate the human eye, and the experience is poor. At the same time, the control parameters (such as the sensitivity of the sensor, the triggering condition) of the system are usually factory pre-set or need to be manually configured by the user, and cannot be adjusted and optimized according to the living habits of different users and the climate characteristics of different seasons. A fixed control mode cannot meet the individual preferences of all users, and the practicality of the automation function is greatly reduced.

[0009] 4. Insufficient load driving compatibility and smoothness:

[0010] In terms of driving, for the speed regulation of fan motors (especially AC motors), the common solution is to use a tapped motor with a relay to switch gears. This method cannot achieve stepless speed regulation, and the relay action will produce mechanical noise and electric sparks. For lamp dimming, the non-phase-cut dimming method is prone to flickering at low brightness, and the stability is poor. At the same time, the direct switching of the driving instruction lacks smooth transition processing, further exacerbating the abruptness of the control.

[0011] 5. Insufficient data sensing dimension and weak linkage capability:

[0012] The sensing dimension of the existing system is relatively single, and it may only be equipped with a human body infrared sensor. The lack of collection capability of key environmental parameters such as temperature, humidity, and ambient illuminance makes it impossible for the control system to make more comprehensive and reasonable decisions. In addition, the communication protocol support is also relatively single, and it may not be compatible with mainstream smart home ecosystems at the same time, causing "data island" and "linkage barrier", which limits its greater role in the whole-house smart scene.

[0013] Therefore, there is an urgent need for an innovative technical solution that can systematically solve all the above defects to promote the development of intelligent fan lamp products to a higher quality. SUMMARY

[0014] The purpose of the present application is to provide a single-hot multi-dimensional chopper phase fan lamp intelligent control system to solve the problems of the existing intelligent fan lamp system in the prior art, such as difficulty in taking power in old wiring environment, low automation level, single control strategy, and abrupt user experience.

[0015] To achieve the above purpose, the present application provides the following technical solutions:

[0016] The single-hot multi-dimensional chopper phase fan lamp intelligent control system comprises:

[0017] Single-hot input module: for connecting the live wire of the mains and providing working power for the system;

[0018] Master processing module: connected with the single-fire input module, for processing sensor data, executing control algorithm and generating control signal;

[0019] Load driving module: connected with fan motor and lighting respectively, receiving control signal from the master processing module, driving load to work;

[0020] Multi-dimensional sensor module: connected with the master processing module, for real-time collection of environmental parameters and user state data;

[0021] Communication module: connected with the master processing module, for receiving external control instructions;

[0022] Wherein, the master processing module is configured to: based on the data collected by the multi-dimensional sensor module and / or the instructions received through the communication module, adopt multi-dimensional weighted decision algorithm to calculate the target speed of the fan and the target brightness of the lamp, and generate corresponding chopper control signal and phase-cut control signal, through the load driving module to chopper speed regulation for fan motor, and phase-cut dimming for the lamp.

[0023] As a preferred, the load driving module includes:

[0024] Fan driving unit: adopting PWM-based chopper control method, through adjusting the voltage effective value applied to both ends of the fan motor to realize stepless speed regulation; its chopper duty cycle D fan is determined by the target speed N target , the calculation formula is:

[0025] D fan =K v ×(N target / N max );

[0026] Wherein, K v is the motor characteristic compensation coefficient, N max is the maximum safe speed of the motor;

[0027] Lamp driving unit: adopting microprocessor-controlled phase-cut dimming technology, according to the target brightness L target to calculate the conduction angle θ, to realize stepless dimming; its calculation formula is:

[0028] θ=θ min +(L target / L max )×(θ max -θ min );

[0029] Wherein, θ max and θ minrespectively the maximum and minimum conduction angle, L max is the maximum luminance of the lamp.

[0030] As a preferred, the multi-dimension sensor module at least includes temperature sensor, humidity sensor, human infrared sensor and ambient light sensor; the decision factor of the multi-dimension weighted decision algorithm includes temperature value T, humidity value H, personnel existing state P and ambient light illumination Lux, personnel existing state P=1 is existing, P=0 is non-existing.

[0031] As a preferred, the multi-dimension weighted decision algorithm calculates target fan rotating speed N target and target lamp luminance L target as follows:

[0032] a. Normalization processing to sensor data:

[0033] T'= (T-T min ) / (T max -T min );

[0034] H'= (H-H min ) / (H max -H min );

[0035] Lux'= 1-(Lux / Lux max ), the stronger the light, the lower the required artificial lighting;

[0036] b. Calculate fan rotating speed demand coefficient C fan and lamp luminance demand coefficient C light ;

[0037] C fan = W T ×T'+W H ×H'+W P ×P;

[0038] C light = W L ×Lux'+W P ×P;

[0039] Wherein W T , W H , W P , W L are the weight coefficients of each factor, and W T +W H +W P =1, W L +W P =1;

[0040] c. Calculate the final target value:

[0041] N target =N min +C fan (N max -N min );

[0042] L target =L min +C light (L max -L min );

[0043] As preferred, the weight coefficient W T , W H , W P , W L can be dynamically configured by the instructions received through the communication module to adapt to different seasons, regions or user preferences.

[0044] As preferred, the system further comprises an adaptive learning algorithm, the master processing module records the fan speed N user and the light brightness L user manually set by the user under different combinations of environmental parameters T, H, Lux, P through the communication module, and constructs a training data set; linear regression or simple nearest neighbor algorithm is used for learning, and the weight coefficients in the multi-dimensional weighted decision algorithm are gradually optimized to make the automatic control strategy approach the user's personalized habits.

[0045] As preferred, the generation of the chopper control signal and the phase-cut control signal has a dynamic smooth transition mechanism, when the target value changes, the master processing module smoothly transitions within time t according to the following formula to avoid sudden changes in speed and brightness:

[0046] N(t)=N current +(N target -N current )×(1-e -t / τ );

[0047] L(t)=L current +(L target -L current )×(1-e -t / τ );

[0048] Where N current , L current is the current value, τ is the time constant set by the system.

[0049] As preferred, the single-hot-wire input module comprises a single-hot-wire power taking circuit, which can stably steal the weak current required for maintaining the system's own operation from the single-hot-wire when the lamp is off (cutting phase angle is 0) or has extremely low brightness (cutting phase angle is less than 1), ensuring that the control system does not drop under various working conditions.

[0050] As preferred, the fan driving unit, when driving a direct-current brushless motor, the chopping control signal is a PWM signal; when driving an alternating-current motor, the chopping control signal is a variable-width voltage pulse signal synchronized with alternating current generated after zero-crossing detection.

[0051] As preferred, the communication module is a wireless communication module, supporting at least one of Wi-Fi, Bluetooth or Zigbee protocols, for data interaction with a smart home cloud platform, a mobile terminal APP or a remote controller.

[0052] Compared with the prior art, the present application has the following advantages:

[0053] 1. High intelligence and automation

[0054] The system collects environmental data in real time through multi-dimensional sensors (temperature, humidity, human body, light), and automatically calculates and controls the fan speed and light brightness based on a multi-dimensional weighted decision algorithm, without the need for manual intervention by the user, to provide a comfortable environmental experience and achieve truly "unconscious" intelligence.

[0055] 2. Strong personalization and adaptability

[0056] The decision weight coefficient of the system (such as season, regional preference) can be dynamically configured remotely through an APP, etc., to flexibly adapt to different scene requirements.

[0057] The unique adaptive learning algorithm can record and learn the user's manual setting habits, and continuously optimize the automatic control strategy through machine learning (such as linear regression), so that the system "understands" the user better and better, and ultimately forms a personalized automated experience.

[0058] 3. Excellent compatibility and easy installation

[0059] Single-hot-wire power taking technology is one of the core advantages. It solves the huge problem of installing intelligent lamps in traditional homes (without zero line), and can directly replace the original switch or lamp without rewiring, greatly reducing the threshold and cost for users to upgrade smart homes.

[0060] It can stably steal the weak current required for maintaining its own operation when the lamp is off or has extremely low brightness, ensuring that the intelligent control never drops and has extremely high reliability.

[0061] 4. Precise and smooth stepless control

[0062] The fan is controlled by PWM chopper, and the light is controlled by phase-cut dimming, so that stepless adjustment of the fan and the light is realized, the control precision is high, and the user experience is delicate.

[0063] The dynamic smooth transition mechanism avoids sudden jumps in speed and brightness changes (such as sudden start of the fan, sudden brightening / dimming of the light), all changes are as smooth as silk, which improves comfort and high-grade feeling, and is also beneficial to protect the motor and the lamp, and prolongs the service life.

[0064] 5. High energy-saving effect

[0065] The system adjusts according to environmental parameters (such as temperature, illuminance) and the presence of personnel, and realizes fine energy saving.

[0066] When people are in the light, the light is turned off (or dimmed) when people leave; when the temperature is high, the fan speeds up, and when it is cool, the fan slows down or turns off. Avoid energy waste and comply with the current green concept.

[0067] 6. Wide applicability and compatibility

[0068] The load driving module is compatible with DC brushless motors and AC motors, and is suitable for mainstream fan types on the market, with a wide range of applications.

[0069] The communication module supports Wi-Fi, Bluetooth, Zigbee and other mainstream protocols, can easily access various smart home platforms (such as Tmall Genie, Google Home, Apple HomeKit), and can be controlled through mobile phone APP, voice, remote controller and other ways, which is convenient for users to integrate and manage. The communication module supports at least one wireless protocol such as Wi-Fi, Bluetooth and Zigbee, and can realize data interaction with smart home cloud platform, mobile terminal APP and remote controller. It can not only meet the needs of remote control (such as remotely turning off the device after leaving home) and convenient setting (such as adjusting parameters through APP), but also adapt to the habits of the elderly and children operating through the remote controller, realize seamless connection with the mainstream smart home ecosystem, avoid the problem of "island" of the device, and improve the convenience and scene expansion of use.

[0070] In summary, the single-fire-wire multi-dimensional chopper phase fan lamp intelligent control system integrates single-fire-wire power supply, multi-sensor fusion, intelligent decision algorithm, adaptive learning and precise load control technology, solves many pain points of intelligent fan lamps in installation, control, experience and personalization, and provides a whole solution with easy installation, intelligent control, comfortable experience and high personalization. BRIEF DESCRIPTION OF DRAWINGS

[0071] The accompanying drawings are included to provide a further understanding of the application, and are incorporated in and constitute a part of this specification, illustrate embodiments of the application, and together with the description serve to explain the principles of the application.

[0072] Figure 1 The single-firewire multi-dimension chopper phase fan lamp intelligent control system of the application is shown in the block diagram. DETAILED DESCRIPTION

[0073] The technical solutions in the embodiments of the application will be clearly and completely described in connection with the embodiments of the application. Obviously, the described embodiments are only a part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments of the application, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the application.

[0074] The application provides a single-firewire multi-dimension chopper phase fan lamp intelligent control system, which comprises:

[0075] The single-firewire input module is used for connecting the live wire of the mains and providing working power for the system.

[0076] The main control processing module is connected with the single-firewire input module and is used for processing sensor data, executing control algorithms and generating control signals.

[0077] The load driving module is connected with the fan motor and the lighting lamp respectively, receives the control signals of the main control processing module and drives the load to work.

[0078] The multi-dimension sensor module is connected with the main control processing module and is used for collecting environmental parameters and user state data in real time.

[0079] The communication module is connected with the main control processing module and is used for receiving external control instructions.

[0080] The main control processing module is configured to calculate the target rotating speed of the fan and the target brightness of the lamp based on the data collected by the multi-dimension sensor module and / or the instructions received through the communication module, generate corresponding chopper control signals and phase-cut control signals by using a multi-dimension weighted decision algorithm, and drive the fan motor to be chopper speed-regulated and the lamp to be phase-cut dimmed by the load driving module.

[0081] It is worth noting that the load driving module comprises:

[0082] (1) The fan driving unit adopts a chopper control mode based on PWM, realizes stepless speed regulation by adjusting the effective value of the voltage applied to the fan motor, and the chopper duty cycle D of the fan driving unit is determined by the target rotating speed of the fan and the current rotating speed of the fan. fan The target rotating speed of the fan is determined by the environmental parameters and the user state data collected by the multi-dimension sensor module.

[0083] N target

[0084] The decision-making formula is:

[0085] D fan = K v × (N target / N max );

[0086] Wherein, K v is the motor characteristic compensation coefficient, N max is the maximum safe speed of the motor.

[0087] (2) Lamp driving unit: adopt microprocessor controlled phase-cut dimming technology, according to the target brightness L target Calculate the conduction angle θ, to realize stepless dimming; Its calculation formula is:

[0088] θ = θ min + (L target / L max ) × (θ max - θ min );

[0089] Wherein, λ max and θ min are the maximum and minimum conduction angles, L max is the maximum brightness of the lamp.

[0090] Specifically, the multi-dimensional sensor module at least includes temperature sensor, humidity sensor, human infrared sensor and ambient light sensor; The decision factor of the multi-dimensional weighted decision algorithm includes temperature value T, humidity value H, personnel presence state P and ambient light intensity Lux, personnel presence state P = 1 is existing, P = 0 is not existing.

[0091] Further, the process of multi-dimensional weighted decision algorithm to calculate the target fan speed N target And the target lamp brightness L target As follows:

[0092] a. Normalization processing to sensor data:

[0093] T' = (T-T min ) / (T max -T min );

[0094] H' = (H-H min ) / (H max -H min );

[0095] Lux' = 1-(Lux / Lux max ), the stronger the light, the lower the artificial lighting required;

[0096] b. Calculate the fan speed demand coefficient C fan and the luminaire brightness demand coefficient C light ;

[0097] C fan = W T × T' + W H × H' + W P × P;

[0098] C light = W L × Lux' + W P × P;

[0099] wherein W T , W H , W P , W L are the weight coefficients of each factor respectively, and W T + W H + W P = 1, W L + W P = 1;

[0100] c. Calculate the final target value:

[0101] N target = N min + C fan (N max - N min );

[0102] L target = L min + C light (L max - L min );

[0103] The weight coefficients W T , W H , W P , W L can be dynamically configured by instructions received through the communication module to adapt to different seasons, regions or user preferences.

[0104] It is worth noting that the system also includes an adaptive learning algorithm, and the master control processing module records the fan speed N user and the luminaire brightness L user set manually by the user under different combinations of environmental parameters T, H, Lux, P through the communication module, and constructs a training data set; linear regression or simple nearest neighbor algorithm is used for learning, and the weight coefficients in the multi-dimensional weighted decision algorithm are gradually optimized, so that the automatic control strategy approximates the user's personalized habits.

[0105] Specifically, the generation of the chopping control signal and the phase-cut control signal has a dynamic smooth transition mechanism. When the target value changes, the main control processing module smoothly transitions within time t according to the following formula to avoid sudden changes in speed and brightness:

[0106] N(t) = N current +(N target -N current )×(1-e -t / τ );

[0107] L(t) = L current +(L target -L current )×(1-e -t / τ );

[0108] Where N current , L current are the current values, and τ is the time constant set by the system.

[0109] In addition, the single-fire input module includes a single-fire power supply circuit that can stably steal the weak current required for the system to operate itself from the single-fire line when the lamp is off (phase-cut angle is 0) or has very low brightness (phase-cut angle is less than 1), ensuring that the control system does not drop out under various working conditions; the fan driving unit generates a PWM signal as the chopping control signal when driving a direct-current brushless motor; when driving an alternating-current motor, the chopping control signal is a variable-width voltage pulse signal synchronized with the alternating current after zero-crossing detection; the communication module is a wireless communication module that supports at least one of Wi-Fi, Bluetooth, or Zigbee protocols, and is used for data interaction with a smart home cloud platform, a mobile terminal APP, or a remote control.

[0110] Example One: Summer Night Bedroom Scene

[0111] In this embodiment, the system is applied to a bedroom environment. It is summer night, and the user has just entered the bedroom to rest. The system automatically sets a comfortable fan speed and suitable reading light according to the current environmental parameters.

[0112] 1. Environmental parameters and decision-making process:

[0113] Temperature (T): 30°C (high, strong need for fan cooling)

[0114] Humidity (H): 65% (slightly high, slightly increase fan demand)

[0115] Personnel presence (P): 1 (user presence detected)

[0116] Ambient light (Lux): 10 lux (night, environment is very dark, lighting is needed)

[0117] Weight configuration (seasonal preference): As it is summer, the temperature weight Wt is set higher, while the light weight Wl is set lower, as it is inevitable to turn on the light at night, which is more dependent on personnel triggering rather than environmental light intensity.

[0118] 2. Control results are shown in the following table:

[0119]

[0120] 3. Effect: The system automatically starts the fan and runs at a high speed, quickly cooling the room. At the same time, the lamp is softly turned on, providing sufficient bright reading light, without the need for the user to manually perform any operation.

[0121] Example Two: Spring daytime study room scenario

[0122] In this example, the system is applied to a study room environment. It is spring afternoon, the weather is cool, and the indoor light is sufficient. The user sits at the desk for a long time.

[0123] 1. Environmental parameters and decision-making process:

[0124] Temperature (T): 23°C (comfortable, low demand for fan)

[0125] Humidity (H): 55% (comfortable, low demand for fan)

[0126] Personnel presence (P): 1 (user detected sitting for a long time)

[0127] Ambient light (Lux): 400 lux (daytime, sufficient light at window position)

[0128] Weight configuration (energy saving preference): The user enables the "energy saving mode" through the APP. In this mode, the ambient light weight Wl is set very high, and the system will prefer to use natural light.

[0129] 2. Control results are shown in the following table:

[0130]

[0131] 3. Effect: The system determines that the environmental temperature is comfortable, and only runs the fan at a low speed to promote air circulation, avoiding the user from getting cold. Since the environment is bright and in energy saving mode, the system decides not to turn on the lamp, effectively saving energy. The entire control process fully meets the needs of the energy saving scenario.

[0132] Example Three: Personalized scenario after adaptive learning

[0133] This example shows the effect of the system simulating user preferences after a period of learning. The user used to manually adjust the equipment in similar environments in the past.

[0134] 1. Environmental parameters and decision-making process:

[0135] Temperature (T): 28°C

[0136] Humidity (H): 60%

[0137] Presence of people (P): 1

[0138] Ambient light (Lux): 100 lux (dusk, insufficient light)

[0139] Weight configuration (adaptive result): The system automatically optimizes the weights by learning from the user's multiple manual settings at "28°C, 60% humidity". The algorithm finds that the user prefers a lower wind speed than the original calculation value at this temperature.

[0140] 2. Control results (before and after contrast learning), as shown in the following table:

[0141]

[0142] 3. Effect: The system no longer mechanically outputs results based on the initial weight calculation formula, but outputs a control instruction that is more in line with the user's historical preferences. The fan runs at a softer speed, and the light brightness is slightly higher, which is highly consistent with the user's usual manual setting habits, achieving truly personalized automatic control.

[0143] The single-hot-line multi-dimensional chopper phase fan lamp intelligent control system has the following advantages:

[0144] 1. High intelligence and automation

[0145] The system collects environmental data in real time through multi-dimensional sensors (temperature, humidity, human body, light sensing), and automatically calculates and controls the fan speed and light brightness based on a multi-dimensional weighted decision-making algorithm, without the need for user manual intervention, providing a comfortable environment experience, and achieving truly "unconscious" intelligence.

[0146] 2. Strong personalization and adaptability

[0147] The decision-making weight coefficients of the system (such as season, regional preference) can be dynamically configured remotely through APP, etc., flexibly adapting to different scene needs.

[0148] The unique adaptive learning algorithm can record and learn the user's manual setting habits, continuously optimizing the automatic control strategy through machine learning (such as linear regression), so that the system "understands" the user better and better, ultimately forming a personalized automated experience.

[0149] 3. Excellent compatibility and easy installation

[0150] Single power supply technology is one of the core advantages. It solves the huge problem of installing intelligent lamps in traditional homes (without zero line). It can directly replace the original switch or lamp without rewiring, greatly reducing the threshold and cost of users upgrading smart home.

[0151] It can stably steal a small current to maintain its own work when the lamp is off or the brightness is very low, ensuring that the intelligent control never drops out and has very high reliability.

[0152] 4. Precise and smooth stepless control

[0153] The fan uses PWM chopping speed regulation, and the light uses phase-cut dimming, achieving stepless adjustment of both the fan and the light, with high control accuracy and delicate user experience.

[0154] The dynamic smooth transition mechanism avoids sudden jumps in speed and brightness changes (such as sudden start of the fan, sudden brightening / dimming of the light), all changes are as smooth as silk, improving comfort and seniority, and also helping to protect the motor and lamp, prolonging the service life.

[0155] 5. High energy-saving effect

[0156] The system adjusts according to environmental parameters (such as temperature, illumination) and the presence of personnel, achieving fine energy saving.

[0157] When people are in the light, the light goes out (or dims); when the temperature is high, the fan speeds up, and when it is cool, the fan slows down or turns off. Avoid energy waste and comply with the current green concept.

[0158] 6. Wide applicability and compatibility

[0159] The load driving module is compatible with DC brushless motors and AC motors, suitable for mainstream fan types on the market, with a wide range of applications.

[0160] The communication module supports Wi-Fi, Bluetooth, Zigbee, and other mainstream protocols, can easily access various smart home platforms (such as Tmall Genie, Google Home, Apple HomeKit), and can be controlled through mobile APP, voice, remote control, etc., making it easy for users to integrate and manage. The communication module supports at least one wireless protocol such as Wi-Fi, Bluetooth, and Zigbee, allowing data interaction with smart home cloud platforms, mobile terminal APPs, and remote controls. It can meet the needs of remote control (such as remotely turning off the device after leaving home), convenient settings (such as adjusting parameters through the APP), and can also adapt to the habits of the elderly and children operating through remote controls, realizing seamless connection with mainstream smart home ecosystems, avoiding the "island" problem of devices, and improving the convenience and scene expansion of use.

[0161] In summary, the single-live-wire multi-dimension chopper phase fan lamp intelligent control system of the present application integrates single-live-wire power taking, multi-sensor fusion, intelligent decision algorithm, self-adaptive learning and precise load control technology, solves many pain points of the intelligent fan lamp in installation, control, experience and personalization, and provides an overall solution with simple installation, intelligent control, comfortable experience and high personalization.

[0162] The above shows and describes the basic principles, main features and advantages of the present application. Those skilled in the art should understand that the present application is not limited to the above-mentioned embodiments, and the above-mentioned embodiments and descriptions in the specification are only preferred examples of the present application and are not intended to limit the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the claimed present application. The scope of protection of the present application is defined by the appended claims and their equivalents.

Claims

1. Single hot-wire multi-dimension chopper phase fan lamp intelligent control system, characterized in that, The system comprises: a single-live-wire input module for connecting to the live wire of the mains and providing operating power for the system; a main control processing module connected to the single-live-wire input module for processing sensor data, executing control algorithms and generating control signals; a load driving module connected to the fan motor and the lighting fixture respectively, receiving the control signals from the main control processing module and driving the loads to work; a multi-dimensional sensor module connected to the main control processing module for collecting environmental parameters and user state data in real time; a communication module connected to the main control processing module for receiving external control instructions; wherein the main control processing module is configured to calculate the target speed of the fan and the target brightness of the lighting fixture by using a multi-dimensional weighted decision algorithm based on the data collected by the multi-dimensional sensor module and / or the instructions received through the communication module, and to generate the corresponding chopping control signals and phase-cut control signals, and to drive the fan motor by chopping and speed regulation and to drive the lighting fixture by phase-cut dimming through the load driving module.

2. The single hot-wire multi-dimension chopped-fade fan lamp intelligent control system according to claim 1, wherein, The load driving module comprises: Fan drive unit: PWM-based chopping control mode is adopted, and stepless speed regulation is realized by adjusting the effective value of voltage applied to both ends of the fan motor; the chopping duty cycle D fan The target speed N target The decision is calculated by the formula: D fan = K v × (N target / N max ); wherein K v is a motor characteristic compensation coefficient, N max is the maximum safe rotational speed of the motor; Lamp driving unit: using microprocessor control phase-cut dimming technology, according to the target brightness L target The conduction angle θ is calculated to realize stepless dimming, and the calculation formula is: θ = θ min + (L target / L max ) x (θ max - θ min ); where θ max and θ min are the maximum and minimum conduction angles, respectively, and L max is the maximum luminous intensity of the luminaire.

3. The single hot-wire multi-dimension chopped-fade fan lamp intelligent control system according to claim 1, wherein, The multi-dimensional sensor module comprises at least a temperature sensor, a humidity sensor, a human body infrared sensor and an ambient light sensor; the decision factors of the multi-dimensional weighted decision algorithm include temperature value T, humidity value H, personnel presence state P and ambient light intensity Lux, and the personnel presence state P = 1 means presence and P = 0 means absence.

4. The single hot-wire multi-dimension chopped-fade fan lamp intelligent control system according to claim 3, characterized in that, The multi-dimensional weighted decision algorithm calculates a target fan speed N target and a target luminaire brightness L target The process is as follows: a. Normalizing the sensor data: T' = (T - T min ) / (T max - T min ); H' = (H - H min ) / (H max -H min ); Lux' = 1 - (Lux / Lux max ); The stronger the light, the lower the artificial lighting required; b. Calculate the fan speed demand coefficient C fan and the luminaire brightness demand coefficient C light ; C fan = W T × T' + W H × H' + W P × P; C light = W L x Lux' + W P x P; wherein W T , W H , W P , W L are weight coefficients of each factor, and W T +W H +W P = 1, W L +W P = 1; c. Calculating the final target value: N target = N min + C fan ( N max - N min ); L target = L min + C light ( L max - L min ).

5. The single hot-wire multi-dimension chopped-fade fan lamp intelligent control system according to claim 1, wherein, The weight coefficient W T , W H , W P , W L can be dynamically configured by the instructions received through the communication module to adapt to different seasons, regions or user preferences.

6. The single hot-wire multi-dimension chopper dimmer fan lamp intelligent control system according to claim 1, wherein, The system also comprises an adaptive learning algorithm, the master processing module records the fan speed N manually set by the user under different combinations of environmental parameters T, H, Lux, P through the communication module user and the luminous intensity of the luminaire L user , a training data set is constructed; Linear regression or simple nearest neighbor algorithm is used for learning to gradually optimize the weight coefficients in the multi-dimensional weighted decision algorithm, so that the automatic control strategy approximates to the user's personalized habits.

7. The single hot-wire multi-dimension chopped-flooded lamp intelligent control system according to claim 1, wherein, The generation of the chopping control signals and phase-cut control signals has a dynamic smooth transition mechanism, when the target value changes, the main control processing module smoothly transitions within time t according to the following formula, avoiding sudden changes in speed and brightness: N(t) = N current +(N target -N current ) x (1 - e -t / τ ); L(t) = L current +(L target -L current ) x (1 - e -t / τ ); where N current , L current is the current value, and τ is the time constant set by the system.

8. The single hot-wire multi-dimension chopped-flooded lamp intelligent control system according to claim 1, wherein, The single-live-wire input module includes a single-live-wire power extraction circuit which can stably extract the weak current required for the system to operate from the single live wire when the lighting fixture is off (phase-cut angle is 0) or has very low brightness (phase-cut angle is less than 1), ensuring that the control system does not drop out under various working conditions.

9. The single hot-wire multi-dimension chopped-flooded lamp intelligent control system according to claim 2, wherein, When driving a direct-current brushless motor, the chopping control signal is a PWM signal; when driving an alternating-current motor, the chopping control signal is a variable-width voltage pulse signal synchronized with the alternating current after zero-crossing detection.

10. The single hot-wire multi-dimension chopped-flooded lamp intelligent control system according to claim 1, wherein, The communication module is a wireless communication module supporting at least one of Wi-Fi, Bluetooth or Zigbee protocols for data interaction with the smart home cloud platform, mobile terminal APP or remote controller.

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