Self-adaptive adjustment lamp system

Abstract

The invention provides a self-adaptive adjustment lamp system, which relates to the technical field of lamp systems and comprises the following modules: an integrated control module, a photoelectric energy acquisition module, a dynamic light management module, a multi-area light source module and a wireless communication module. According to the system and the method, ambient light changes, user behavior modes and historical use data are analyzed in real time, and the brightness and color temperature of the lamp are automatically adjusted, so that the lamp can intelligently adapt to different environments and user requirements, more personalized and comfortable illumination experience is provided, and a dynamic light management module is adopted and comprises a high-precision spectral analysis unit; according to the method, spectral components of different wavelengths can be detected and analyzed, the optimal illumination effect in a specific scene is achieved in combination with fuzzy logic and a light distribution model, and the characteristic improves the light regulation and control precision and applicability of the lamp in a specific application scene.

Description

Technical Field

[0001] The present invention relates to the technical field of lamp systems, and in particular to a self-adaptive lamp system. Background Art

[0002] According to the Chinese patent publication number "CN113365391B", an intelligent dimming shutdown control circuit and a driving power supply are disclosed, including: a dimming input circuit, a signal processing circuit, an isolation transmission circuit and a dimming shutdown circuit; the dimming input circuit is used to receive a dimming signal and process the dimming signal to output a PWM control signal; the signal processing circuit is connected to the dimming input circuit and processes the PWM control signal; the dimming shutdown circuit is connected to the signal processing circuit and the isolation transmission circuit, and is turned on or off according to the signal output by the signal processing circuit and the control of the isolation transmission circuit, and shuts off the power of the main control IC when it is cut off.

[0003] The above patent documents and prior art have the following technical problems when used:

[0004] The dimming function of existing lamps is based on simple time settings or fixed light intensity and cannot be adaptively adjusted according to environmental changes and user needs. Summary of the invention

[0005] Technical issues solved

[0006] In view of the deficiencies of the prior art, the present invention provides a self-adaptive lamp system.

[0007] Technical Solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: an adaptively adjustable lamp system, the lamp system comprising the following modules:

[0009] Integrated control module: The integrated control module includes a low-power microcontroller and pulse width modulation control circuit, configured to perform intelligent dimming based on ambient light and user settings;

[0010] Photoelectric energy harvesting module: The photoelectric energy harvesting module includes a high-efficiency solar cell, a bidirectional power converter and a supercapacitor. The photoelectric energy harvesting module converts ambient light energy into electrical energy and provides power for the lighting system;

[0011] Dynamic light management module: The dynamic light management module includes a multi-spectral photosensor module and an adaptive dimming module. The multi-spectral photosensor module detects the ambient light intensity in real time, and the adaptive dimming module automatically adjusts the lamp parameters.

[0012] Multi-area light source module: The multi-area light source module includes multiple independently controlled LED arrays, each array is controlled by a separate driving circuit, and can achieve local area lighting and dynamic light and shadow effects;

[0013] Wireless communication module: The wireless communication module includes Bluetooth, WiFi and Zigbee interfaces, and is configured for remote control and scene preset via a mobile terminal or smart home lighting system.

[0014] Preferably, the integrated control module further includes an adaptive lighting optimization algorithm based on deep learning. The adaptive lighting optimization algorithm based on deep learning automatically adjusts the brightness and color temperature of the lamps by real-time analysis of ambient light changes, user behavior patterns and historical usage data, and can dynamically adjust the lighting strategy in different environments to improve the intelligence of lighting and user comfort.

[0015] Preferably, the photoelectric energy collection module further includes a multi-source energy management lighting system, which integrates solar cells, thermoelectric converters and vibration energy harvesters, utilizes a variety of environmental energy sources to collect electrical energy, and distributes and optimizes the energy through an intelligent power management unit to ensure continuous and stable power supply to the lighting system under various environmental conditions.

[0016] Preferably, the dynamic light management module further includes a high-precision spectral analysis unit, which detects and analyzes spectral components of different wavelengths and combines fuzzy logic and light distribution models to adjust the output spectrum of the lamp in real time to achieve the best lighting effect in a specific scene, including specific spectral regulation for plant growth, artistic display or human health.

[0017] Preferably, the multi-zone light source module further includes a space perception module and a positioning module, and the positioning module is either an ultrasonic or infrared module or a combination of the two. The space perception module and the positioning module are used to locate and sense the user's position and movement, and dynamically adjust the brightness and direction of the LED array in each area to achieve intelligent follow-up lighting for the user, optimize the lighting effect and improve energy efficiency.

[0018] Preferably, the wireless communication module includes a low-latency multi-channel communication interface, which supports Bluetooth 5.0, WiFi6 and Zigbee3.0 protocols, and is used to achieve fast data transmission and real-time control in a complex smart home network environment, ensuring fast response and efficient collaboration of lamps between different devices.

[0019] Preferably, the lighting system further includes a multi-dimensional environmental sensing module, which integrates temperature and humidity sensors, CO2 sensors and sound sensors to monitor the temperature, humidity, carbon dioxide concentration and noise level in the environment, and automatically adjusts the working mode of the lighting according to these environmental parameters.

[0020] Preferably, the photoelectric energy collection module further includes an intelligent power scheduling unit, which dynamically adjusts the power supply of each module according to the real-time collected power reserve and energy consumption, and at the same time extends the working time of the lighting system by gradually reducing the energy consumption of non-essential modules.

[0021] Preferably, the lighting system further includes an intelligent interactive display module, which combines flexible display technology and touch sensing technology, can display dynamic information on the surface of the lighting fixture and support user direct touch operation, and interact with the smart home lighting system through the wireless communication module.

[0022] Beneficial Effects

[0023] The present invention provides a self-adaptive lamp system, which has the following beneficial effects:

[0024] 1. The present invention adopts a deep learning-based adaptive lighting optimization algorithm in the integrated control module to analyze ambient light changes, user behavior patterns and historical usage data in real time, and automatically adjust the brightness and color temperature of the lamp, which enables the lamp to intelligently adapt to different environments and user needs, providing a more personalized and comfortable lighting experience.

[0025] 2. The present invention adopts an intelligent interactive display module combined with flexible display technology and touch sensing technology to realize dynamic information display and touch operation. Users can directly perform interactive operations on the surface of the lamp, which improves the convenience and intuitiveness of interaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 The output power of the photoelectric energy collection module of the present invention, the brightness and color temperature of the lamp, and the power reserve and consumption diagram;

[0027] Figure 2 The plant growth stage spectrum control diagram of the second specific embodiment of the present invention;

[0028] Figure 3 It is an artistic display spectrum control diagram of the specific embodiment 3 of the present invention;

[0029] Figure 4 This is a human health spectrum regulation diagram of specific embodiment 4 of the present invention. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Specific embodiment one:

[0032] like Figure 1 The figure shows that the photoelectric energy collection module realizes power adjustment according to the number of energy sources. When the energy sources are fewer, the output power of the photoelectric energy collection module is greater. Because fewer energy sources mean fewer energy sources to rely on, photoelectric conversion energy is also required. An adaptively adjusted lamp system includes the following modules:

[0033] Integrated control module: The integrated control module includes a low-power microcontroller and a pulse width modulation control circuit, which is configured to perform intelligent dimming according to ambient light and user settings. The integrated control module further includes an adaptive lighting optimization algorithm based on deep learning. The adaptive lighting optimization algorithm based on deep learning automatically adjusts the brightness and color temperature of the lamp by real-time analysis of ambient light changes, user behavior patterns and historical usage data, and can dynamically adjust the lighting strategy in different environments to improve the intelligence of lighting and user comfort. Algorithm design: Adaptive lighting optimization algorithm based on deep learning Algorithm overview: The integrated control module uses a deep learning algorithm (convolutional neural network or recursive neural network) to analyze ambient light changes, user behavior patterns and historical usage data in real time to dynamically adjust the brightness and color temperature of the lamp. The goal of the algorithm is to improve user comfort and energy saving by optimizing lamp output. Assume that the input feature vector is X (including ambient light intensity, user-set preference parameters, etc.), and the output is lamp brightness L and color temperature T. The input feature vector is:

[0034] ;

[0035] Represents the nth feature (current light intensity, light fluctuations in historical data, etc.), deep learning model: set the model parameters to W and b, model output:

[0036] ;

[0037] is the activation function, loss function: In order to optimize brightness and color temperature, the mean square error loss function can be used :

[0038] ;

[0039] is the desired output, is the output predicted by the model.

[0040] Photoelectric energy harvesting module: The photoelectric energy harvesting module includes a high-efficiency solar cell, a bidirectional power converter and a supercapacitor. The photoelectric energy harvesting module converts ambient light energy into electrical energy and provides power for the lighting system. The photoelectric energy harvesting module further includes a multi-source energy management lighting system. The multi-source energy management lighting system integrates solar cells, thermoelectric converters and vibration energy harvesters, uses a variety of environmental energy sources for electrical energy harvesting, and distributes and optimizes these energies through an intelligent power management unit to ensure continuous and stable power supply to the lighting system under various environmental conditions. Energy harvesting model: Assume that the output power of the solar cell is:

[0041] ;

[0042] is the conversion efficiency, A is the battery area, E is the light intensity, and the output power of the thermoelectric converter is:

[0043] ;

[0044] is the thermoelectric conversion efficiency, is the temperature difference, the output power of the vibration energy harvester is:

[0045] ;

[0046] is the vibration energy conversion efficiency, is the vibration frequency, is the amplitude, and the total energy balance equation is:

[0047] ;

[0048] The photoelectric energy collection module further includes an intelligent power scheduling unit, which dynamically allocates the power supply of each module according to the real-time collected power reserve and energy consumption, and prolongs the working time of the lighting system by gradually reducing the energy consumption of non-essential modules; the intelligent power scheduling unit dynamically allocates the power supply of each module according to the real-time collected power reserve and energy consumption, and prolongs the working time of the system by gradually reducing the energy consumption of non-essential modules. Power reserve model: Assume that the battery reserve power is , the energy consumption rate is , the remaining working time is ,Power allocation function: set the priority queue, and the modules with higher priority will be allocated power first. The power allocation rule is ,in is the priority coefficient of module i.

[0049] The energy management algorithm integrates solar cells, thermoelectric converters and vibration energy harvesters to harvest power from a variety of environmental energy sources. The intelligent power management unit distributes and optimizes energy to ensure stable power supply under various environmental conditions.

[0050] Dynamic light management module: The dynamic light management module includes a multi-spectral photosensor module and an adaptive dimming module. The multi-spectral photosensor module detects the ambient light intensity in real time, and the adaptive dimming module automatically adjusts the lamp parameters. The dynamic light management module further includes a high-precision spectrum analysis unit, which detects and analyzes the spectral components of different wavelengths, combines fuzzy logic and light distribution model, and adjusts the output spectrum of the lamp in real time to achieve the best lighting effect in a specific scene, including specific spectrum regulation for plant growth, art display or human health; The dynamic light management module algorithm detects and analyzes the spectral components of ambient light through the spectrum analysis unit, and combines fuzzy logic to analyze the light distribution spectrum model: Let the spectrum signal be , indicating the wavelength The light intensity under the spectrum analysis unit outputs: the average light intensity within a specific wavelength range is analyzed , Fuzzy logic dimming model: set fuzzy rules, if If it is lower, the specific wavelength light output is increased and the output brightness is adjusted to:

[0051] ;

[0052] in is the dimming rule function.

[0053] Multi-area light source module: The multi-area light source module includes multiple independently controlled LED arrays, each array is controlled by a separate driving circuit, and can achieve local area lighting and dynamic light and shadow effects. The multi-area light source module further includes a space perception module and a positioning module. The positioning module is any one of an ultrasonic or infrared module or a combination of the two. The space perception module and the positioning module are used to locate and perceive the user's position and movement, and realize intelligent follow-up lighting for the user by dynamically adjusting the brightness and direction of the LED arrays in each area, optimizing the lighting effect and improving energy efficiency; the space perception and positioning control algorithm detects the user's position and movement through the space perception and positioning module, and dynamically adjusts the brightness and direction of the LED arrays in each area to realize intelligent follow-up lighting. User positioning model: using ultrasonic or infrared positioning, assuming that the user's current position is:

[0054] ;

[0055] Light source direction control: adjust the light direction of each LED array so that the center of the light beam points to the user. Assume the center of the light source is , then the luminous direction vector is ,Brightness adjustment model: according to the distance between the user and the light source , the brightness is adjusted to , is the initial brightness.

[0056] Wireless communication module: The wireless communication module includes Bluetooth, WiFi and Zigbee interfaces, which are configured for remote control and scene preset through mobile terminals or smart home lighting systems. The wireless communication module includes a low-latency multi-channel communication interface, which supports Bluetooth 5.0, WiFi6 and Zigbee3.0 protocols, and is used to achieve fast data transmission and real-time control in a complex smart home network environment, ensuring fast response and efficient collaboration between different devices. The wireless communication module algorithm adopts Bluetooth 5.0, WiFi6 and Zigbee3.0 protocols to achieve low-latency, high-bandwidth data transmission, ensuring real-time control and fast response of the lighting system. Communication delay model: Assume that the data packet size is D and the transmission rate is R, then the theoretical delay is:

[0057] ;

[0058] Multi-channel load balancing: Assume that data is transmitted on n channels and the bandwidth of each channel is , the total bandwidth is ,The load balancing algorithm dynamically allocates D to each channel to minimize the delay.

[0059] The lighting system further includes a blockchain authentication access module, which ensures the transmission security of user data and control commands in the wireless communication module through decentralized distributed ledger technology, prevents unauthorized access and malicious control behavior, and supports multi-user identity authentication and hierarchical authority management. The blockchain authentication access module adopts a blockchain-based security authentication algorithm, and utilizes the decentralized and tamper-proof characteristics of blockchain technology to ensure the secure transmission of user data and control commands and prevent unauthorized access. Blockchain transaction model: Let user data be transaction T, and transaction hash be , where H is a cryptographic hash function (SHA256). The transaction chain is generated by blocks, and the block hash is , where B is the block data. Block generation and verification: The generation of each new block must meet certain difficulty requirements. Let the difficulty be D, and the block hash must meet:

[0060] ;

[0061] Transaction confirmation model: The confirmation degree of a transaction depends on the depth of the blockchain. Suppose the current block height is h and the number of transaction confirmations is c, then the confirmation degree .

[0062] The lighting system further includes an intelligent interactive display module, which combines flexible display technology and touch sensing technology to display dynamic information on the surface of the lighting fixture and support direct touch operation by users, and interacts with the smart home lighting system through the wireless communication module. The algorithm of the intelligent interactive display module adopts an interactive display and touch-to-air sensing algorithm, combines flexible display technology and touch sensing technology, realizes dynamic information display and user interactive operation, and interacts with the smart home system through the wireless communication module. Touch sensing model: Let the touch area be R, and the touch position be The touch sensing system determines the user operation by detecting the touch coordinates and pressure. The pressure sensing formula is: , where T is the touch time and A is the contact area. The update formula is:

[0063] ;

[0064] is the amount of information change.

[0065] The lamp system further includes a multi-dimensional environment perception module, which integrates temperature and humidity sensors, CO2 sensors and sound sensors to monitor the temperature, humidity, carbon dioxide concentration and noise level in the environment, and automatically adjust the working mode of the lamp according to these environmental parameters. The multi-dimensional environment perception module algorithm monitors the multi-dimensional parameters in the environment through temperature and humidity sensors, CO2 sensors and sound sensors, and automatically adjusts the working mode of the lamp according to these parameters. The environment state vector: Let the temperature be T, the humidity be H, the CO2 concentration be C, and the noise level be N. The environment state vector is:

[0066] ;

[0067] Working mode adjustment model: Assume that the working mode of the lamp is M, and dynamically adjust the mode according to the environmental state vector. , where g is the mode adjustment function.

[0068] Photovoltaic energy harvesting module for energy harvesting and management: The photovoltaic energy harvesting module collects ambient energy through solar cells, thermoelectric converters and vibration energy harvesters. The collected electrical energy is distributed through an intelligent power dispatching unit to ensure that each module has sufficient power supply.

[0069] Multi-dimensional environmental perception module for environmental perception and data processing: monitor environmental conditions through temperature and humidity sensors, CO2 sensors, and sound sensors to obtain environmental state vectors

[0070] Data processing: The deep learning algorithm in the integrated control module analyzes environmental data, user behavior and historical data in real time to optimize the brightness 𝐿 and color temperature 𝑇 of the lamps.

[0071] Dynamic light management module for light management and adjustment: The high-precision spectrum analysis unit analyzes the ambient spectrum and adjusts the lamp output spectrum through fuzzy logic algorithm to achieve the best lighting effect in a specific scene.

[0072] Multi-zone light source module: adjusts the brightness and direction of each zone LED array according to the user's position and movement, providing intelligent follow-up lighting effects.

[0073] Wireless communication module for communication and control: Remote control and scene preset with mobile terminals or smart home systems through Bluetooth 5.0, WiFi6 and Zigbee3.0 protocols. Low-latency multi-channel communication interface ensures real-time data transmission and control.

[0074] Intelligent interactive display module for interaction and display: Using flexible display technology and touch sensing technology, dynamic information is displayed on the surface of the lamp, and users are supported to interact through touch operation. The update frequency and touch pressure sensing ensure the accuracy of information display and the smoothness of user interaction.

[0075] Blockchain authentication access module for security and access control: Through blockchain technology, it ensures the security of data transmission and control commands, and prevents unauthorized access and malicious control behavior. At the same time, it supports multi-user identity authentication and permission management.

[0076] Summary of overall operation logic: The lighting system integrates multiple functions such as energy collection, environmental perception, light management, communication control, user interaction and security authentication. Through the collaborative work of various modules, the system provides intelligent lighting adjustment, stable power supply, real-time user interaction and high security, realizing a full range of lighting system experience. The algorithms and formulas of each module ensure the high efficiency and high performance of the system in practical applications. Specific embodiment 2:

[0078] like Figure 2As shown in the figure, plant growth is closely related to light. Light of different spectra has different effects on plant photosynthesis and growth cycle. The periodic adjustment of red and blue light intensity changes can stimulate plant growth. Combined regulation based on time cycle can better adapt to plant growth. Blue light (wavelength 450-495nm) promotes plant leaf growth, while red light (wavelength 600-700nm) promotes plant flowering and fruiting.

[0079] Photovoltaic energy harvesting module: Uses high-efficiency solar cells and bidirectional power converters to convert ambient light energy into electrical energy, ensuring that the lighting system can continue to operate without external power. Supercapacitors are used to store and regulate power supply to maintain system stability.

[0080] Integrated control module: Contains a low-power microcontroller and pulse width modulation control circuit, which analyzes the growth stage of plants and ambient light changes in real time based on a deep learning algorithm. The deep learning algorithm processes data from the photovoltaic energy harvesting module, the spectral requirements of the plants, and ambient light changes to dynamically adjust the brightness and color temperature of the lamp. A spectrum optimization algorithm is used to ensure the light intensity and spectral composition suitable for different growth stages of plants.

[0081] Dynamic light management module: Equipped with a high-precision spectrum analysis unit, it automatically adjusts the spectrum output by detecting and analyzing the spectrum components of different wavelengths. When optimizing the spectrum of plants, the system will give priority to increasing the proportion of blue light (wavelength 450-495nm) in the early growth stage and increasing the proportion of red light (wavelength 600-700nm) in the flowering stage. Fuzzy logic algorithm is used to calculate the optimal spectrum output and obtain the optimized light intensity.

[0082] Multi-zone light source module: Through multiple independently controlled LED arrays, different spectra of light are emitted. These LED arrays can be individually controlled to meet the spectral needs of plants. For example, blue LEDs are used in the growth stage and red LEDs are used in the flowering stage. Each array is controlled by a separate driver circuit to ensure that the spectrum can be accurately adjusted in different areas.

[0083] Wireless communication module: Through Bluetooth, WiFi and Zigbee interfaces, users can remotely control the spectrum adjustment of lamps through mobile terminals or smart home systems. Users can adjust the color temperature and intensity of lights in real time according to the actual growth conditions of plants and environmental changes to achieve the best growth effect. Specific embodiment three:

[0085] like Figure 3As shown, the display of artworks needs to accurately restore colors and details. Through the periodic change of color temperature from 5000k to 8000k, viewers can observe different color temperature effects under different color temperature conditions. Periodic changes can also avoid light damage to artworks caused by a single color temperature to a certain extent. The average color temperature is around 6500k, which can ensure that artworks can be appreciated under pure white light to a large extent. Higher and lower color temperatures can also be adjusted according to actual conditions. The color temperature and spectral composition of the light source have a direct impact on the presentation of colors. Appropriate spectral regulation can improve the display effect of artworks and enhance the audience's viewing experience.

[0086] Photovoltaic energy harvesting module: uses high-efficiency solar cells and bidirectional power converters to convert ambient light energy into electrical energy. Supercapacitors store energy to ensure stable operation of the system without external power supply.

[0087] Integrated control module: uses a low-power microcontroller and pulse width modulation control circuit to optimize the spectral output of the lamp through a deep learning algorithm. The algorithm analyzes the color requirements of the artwork and changes in ambient light, and adjusts the spectral output in real time.

[0088] Dynamic light management module: includes a high-precision spectrum analysis unit that detects the ambient spectrum components in real time and adjusts the spectral output of the lamps. For art exhibitions, the system can adjust the spectrum to achieve the best color reproduction effect according to the color and detail requirements of the exhibits. Fuzzy logic algorithms are used to calculate the optimal spectral output;

[0089] Multi-zone light source module: Through multiple LED arrays, different wavelengths of light are emitted to meet different art display needs. The system can adjust the spectrum according to the characteristics of the artwork to ensure accurate color reproduction and highlighting of details.

[0090] Wireless communication module: Users can remotely control lamps and adjust spectral output and display mode through Bluetooth, WiFi and Zigbee interfaces. The system supports preset display scenes and automatically adjusts spectral parameters according to different artwork types to optimize the display effect. Specific embodiment four:

[0092] like Figure 4As shown in the figure, the light intensity of the sinusoidal cycle is between 200-400 lux, which has many positive effects on the human body. This lighting mode can effectively regulate and optimize the physiological and psychological state of the human body by simulating the changing cycle of natural light. Biorhythm is a natural cycle in the human body, about 24 hours, which affects multiple physiological functions such as sleep, wakefulness, hormone secretion, body temperature, etc. The change of light intensity in the sinusoidal cycle can simulate the day and night alternation of natural light, which helps to: synchronize the biological clock: by providing higher light intensity during the day, it promotes alertness and activity levels; reducing the light intensity at night helps to relax and prepare for sleep. Improve sleep quality: reasonable light changes help the secretion of melatonin, promote deep sleep, and reduce insomnia and sleep disorders. Improve mood and mental health Light has a significant effect on mood and psychological state: improve mood: moderate light intensity changes can stimulate the brain to release dopamine and serotonin, improve mood, and reduce depression and anxiety symptoms. Relieve seasonal affective disorder (SAD): for people whose mood is affected by seasonal changes, simulating changes in natural light intensity can help alleviate the symptoms of seasonal affective disorder. Providing higher light intensity during the day can: Improve attention and concentration: help improve work efficiency and learning effects, and reduce fatigue. Moderate light can help enhance the brain's cognitive function, improve memory and learning ability. Reduce eye fatigue and vision protection Continuous light intensity adjustment helps avoid being under the same light intensity for a long time, reducing eye stress and fatigue, especially in an environment where electronic devices are used. Reasonable light changes can reduce vision problems caused by excessive or insufficient light and keep eyes healthy. Promote vitamin D synthesis: Combined with moderate outdoor activities, it can indirectly increase vitamin D levels, enhance immunity and bone health. Regulate metabolism and weight: Light changes can affect metabolic processes in the body and help maintain a healthy weight and metabolic balance. The effects of light on human health include biorhythm regulation, mood improvement, and eye comfort. Different spectrums and color temperatures have a significant impact on people's sleep, alertness and comfort.

[0093] Technical implementation plan:

[0094] Photovoltaic Energy Harvesting Module: Also uses high-efficiency solar cells and bidirectional power converters to convert ambient light energy into electrical energy. Energy is stored in supercapacitors to ensure stable operation of the system even in low-light conditions.

[0095] Integrated control module: Integrates low-power microcontroller and pulse width modulation control circuit, analyzes user's biorhythm data and ambient light changes in real time through deep learning algorithm, and automatically adjusts the spectral output of the lamp. The algorithm considers the user's sleep cycle, work hours and emotional state, and adjusts the spectrum to optimize health effects. Use optimization formula , Optimizing light intensity for health, is the basic light intensity, To adjust the amplitude, is the frequency, is the phase shift.

[0096] Dynamic light management module: Uses high-precision spectrum analysis unit to detect and analyze ambient spectrum components, and automatically adjusts the spectrum of lamps in combination with fuzzy logic algorithm. For example, in the morning, high-brightness light with cool tones is provided to simulate natural morning light and help users adjust their biological clocks; in the evening, low-brightness light with warm tones is provided to promote the secretion of melatonin and improve sleep quality. Using fuzzy logic algorithm Calculates the optimal spectral output to suit the user's health needs.

[0097] Multi-zone light source module: Multiple independently controlled LED arrays can emit light of different color temperatures, adjusting the spectral output of the lamp to suit different health needs. For example, use cold light LEDs in the morning and warm light LEDs in the evening. The LED arrays in each zone are controlled by independent drive circuits to achieve precise spectral regulation.

[0098] Wireless communication module: Remotely control with mobile terminals or smart home systems through Bluetooth, WiFi and Zigbee interfaces. Users can adjust the spectral output of lamps in real time to suit personal health needs and living habits. The system supports timed tasks and health scene presets, such as automatically adjusting the spectrum at a specific time to improve sleep or alertness.

[0099] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "comprising a reference structure" do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0100] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An adaptively adjustable lighting system, characterized in that: The lighting system includes the following modules: Integrated control module: The integrated control module includes a low-power microcontroller and pulse width modulation control circuit, configured to perform intelligent dimming based on ambient light and user settings; Photoelectric energy harvesting module: The photoelectric energy harvesting module includes a high-efficiency solar cell, a bidirectional power converter and a supercapacitor. The photoelectric energy harvesting module converts ambient light energy into electrical energy and provides power for the lighting system; Dynamic light management module: The dynamic light management module includes a multi-spectral photosensor module and an adaptive dimming module. The multi-spectral photosensor module detects the ambient light intensity in real time, and the adaptive dimming module automatically adjusts the lamp parameters. Multi-area light source module: The multi-area light source module includes multiple independently controlled LED arrays, each array is controlled by a separate driving circuit, and can achieve local area lighting and dynamic light and shadow effects; Wireless communication module: The wireless communication module includes Bluetooth, WiFi and Zigbee interfaces, and is configured for remote control and scene preset via a mobile terminal or smart home lighting system.

2. The self-adaptive lighting system according to claim 1, characterized in that: The integrated control module further includes an adaptive lighting optimization algorithm based on deep learning. The adaptive lighting optimization algorithm based on deep learning automatically adjusts the brightness and color temperature of the lamps by real-time analysis of ambient light changes, user behavior patterns and historical usage data, and can dynamically adjust the lighting strategy in different environments to improve the intelligence of lighting and user comfort.

3. The self-adaptive lighting system according to claim 1, characterized in that: The photoelectric energy collection module further includes a multi-source energy management lighting system, which integrates solar cells, thermoelectric converters and vibration energy harvesters, uses a variety of environmental energy sources to collect electrical energy, and distributes and optimizes the energy through an intelligent power management unit to ensure continuous and stable power supply to the lighting system under various environmental conditions.

4. The self-adaptive lighting system according to claim 1, characterized in that: The dynamic light management module further includes a high-precision spectral analysis unit, which detects and analyzes spectral components of different wavelengths, combines fuzzy logic and light distribution models, and adjusts the output spectrum of the lamp in real time to achieve the best lighting effect in specific scenarios, including specific spectral regulation for plant growth, artistic display or human health.

5. The self-adaptive lighting system according to claim 1, characterized in that: The multi-area light source module further includes a space perception module and a positioning module. The positioning module is either an ultrasonic or infrared module or a combination of the two. The space perception module and the positioning module are used to locate and perceive the user's position and movement. By dynamically adjusting the brightness and direction of the LED array in each area, intelligent following lighting for the user is achieved, optimizing the lighting effect and improving energy efficiency.

6. The self-adaptive lighting system according to claim 1, characterized in that: The wireless communication module includes a low-latency multi-channel communication interface, which supports Bluetooth 5.0, WiFi6 and Zigbee3.0 protocols, and is used to achieve fast data transmission and real-time control in a complex smart home network environment, ensuring fast response and efficient collaboration of lamps between different devices.

7. The self-adaptive lighting system according to claim 1, characterized in that: The lighting system further includes a multi-dimensional environmental perception module, which integrates temperature and humidity sensors, CO2 sensors and sound sensors to monitor the temperature, humidity, carbon dioxide concentration and noise level in the environment, and automatically adjust the working mode of the lighting according to these environmental parameters.

8. The self-adaptive lighting system according to claim 1, characterized in that: The photoelectric energy collection module further includes an intelligent power scheduling unit, which dynamically allocates the power supply of each module according to the real-time collected power reserve and energy consumption, and at the same time extends the working time of the lighting system by gradually reducing the energy consumption of non-essential modules.

9. The self-adaptive lighting system according to claim 1, characterized in that: The lighting system further includes an intelligent interactive display module, which combines flexible display technology and touch sensing technology to display dynamic information on the surface of the lighting fixture and support direct touch operations by users, and interact with the smart home lighting system through the wireless communication module.

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