Multispectral integrated COB light source and control system thereof

Abstract

The invention relates to the technical field of illumination, and discloses a multispectral integrated COB light source and a control system thereof.The multispectral integrated COB light source comprises light-emitting diodes, the light-emitting diodes are light sources of different wavelengths and comprise ultraviolet light, blue light and red light, and the light-emitting diodes are evenly distributed on a double-face ceramic circuit board in a circular ring shape; the current output of the multispectral integrated COB light source is adjusted through an intelligent control module, the intelligent control module adjusts the current output of the light emitting diode according to real-time sensor data so as to adjust the brightness and color temperature of the light source, and the control system comprises a sensor module used for collecting ambient light intensity and temperature and humidity data; the signal processing module is used for processing the sensor data; and the optimization calculation unit is used for generating an adjusting signal according to the processed data. By adopting the technical scheme that the multispectral integrated COB light source is combined with the intelligent control module, the brightness and color temperature of the light source are accurately controlled.

Description

Technical Field

[0001] The present invention relates to the field of lighting technology, and in particular to a multi-spectrum integrated COB light source and a control system thereof. Background Art

[0002] With the advancement of technology and the increasing demand for environmental control, lighting systems play an important role in many fields, especially in applications such as plant growth, indoor lighting and stage lighting, where precise light source control becomes particularly important. Traditional lighting systems often provide illumination through single-wavelength light sources. However, with the increasing requirements for lighting quality, single-wavelength light sources cannot meet the needs of different application scenarios. In order to better meet various needs, multi-spectrum integrated COB light sources have gradually become an important choice in modern lighting technology.

[0003] Currently, many modern lighting systems have begun to use multi-spectral light sources, among which integrated chip (COB) light sources are widely used due to their high light efficiency and long service life. These light sources can provide multiple wavelengths of light at the same time to meet different lighting needs. However, although multi-spectral light sources have certain advantages in controlling brightness and color temperature, traditional control systems usually rely on fixed current output or a single control algorithm, and cannot make timely adjustments according to changes in environmental conditions, resulting in the system performance cannot be fully utilized in complex environments.

[0004] Existing multi-spectral light source control systems usually have several shortcomings. First, most traditional control systems use fixed current or simple manual adjustment methods, which cannot flexibly adjust the output of the light source according to real-time environmental changes, resulting in the inability to accurately match the brightness and color temperature of the light source to match application requirements. Secondly, traditional systems often lack precise adjustment methods for power distribution between light sources of different wavelengths, resulting in unsatisfactory collaborative work between light sources of different wavelengths and failure to maximize the overall efficiency of the light source. Finally, existing systems generally do not take into account energy efficiency optimization issues in long-term use, making it difficult to balance the high efficiency and long life of the light source, especially in large-scale applications. This problem is particularly prominent. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a multi-spectrum integrated COB light source and its control system, which solves the problem that the existing multi-spectrum light source control system cannot adjust the light source current in real time according to environmental changes, resulting in low light source efficiency and poor energy efficiency management.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a multi-spectrum integrated COB light source, including light-emitting diodes, which are light sources of different wavelengths, including ultraviolet light, blue light and red light. The light-emitting diodes are evenly arranged in a circular shape on a double-sided ceramic circuit board. The current output of the multi-spectrum integrated COB light source is adjusted by an intelligent control module, and the intelligent control module adjusts the current output of the light-emitting diodes according to real-time sensor data to adjust the brightness and color temperature of the light source.

[0007] The present invention also provides a control system for a multi-spectrum integrated COB light source, the control system comprising: Sensor module, used to collect ambient light intensity, temperature and humidity data; A signal processing module, used for processing the sensor data; An optimization calculation unit, used for generating an adjustment signal according to the processed data; A feedback control unit, used for adjusting the current output of the multi-spectrum integrated COB light source according to the adjustment signal; The intelligent control module includes a quantum optical regulation unit, which regulates the output power of light sources of different wavelengths by regulating the phase difference of light sources of different wavelengths.

[0008] Preferably, the signal processing module includes a data preprocessing unit and a Bayesian adaptive algorithm unit. The data preprocessing unit is used to filter and normalize the sensor data. The Bayesian adaptive algorithm unit updates the probability distribution of the system state in real time according to the processed data and generates a regulation signal.

[0009] Preferably, the optimization calculation unit calculates the current output of the light source according to an optimization control algorithm, and the optimization control algorithm performs current regulation based on an objective function of minimizing power consumption and satisfying light color and brightness requirements.

[0010] Preferably, the optimization calculation unit is configured to perform the following steps: Generate constraints based on preset light color parameters and brightness parameters; Taking minimizing the power consumption as the objective function, the optimal current value of each wavelength light source is solved by the Lagrange multiplier method.

[0011] Preferably, a light source life attenuation factor is introduced into the objective function, and the attenuation factor is associated with current intensity and temperature and humidity data.

[0012] Preferably, the feedback control unit includes a fuzzy control module and a PID control module. The fuzzy control module generates a preliminary adjustment signal based on the sensor data, The PID control module dynamically compensates the preliminary adjustment signal.

[0013] Preferably, the proportional coefficient, integral time and differential time of the PID control module are adjusted using an adaptive algorithm, which is automatically adjusted according to the temperature and humidity of the actual working environment and sensor data to ensure the stability of the system and the long-term stable output of the light source.

[0014] Preferably, the quantum optical control unit comprises: Phase modulator, used to adjust the phase difference of light sources with different wavelengths; A quantum interference detection unit, used to monitor the interference intensity of light sources of each wavelength; The power divider adjusts the output power of each wavelength light source based on the interference intensity.

[0015] Preferably, the sensor module comprises: a spectral sensor configured to monitor spectral distribution of ambient light at a sampling frequency of 10 times per second; Distributed temperature sensors are evenly arranged along the edge of the double-sided ceramic circuit board; Humidity sensor, integrated inside the light source housing.

[0016] The present invention provides a multi-spectrum integrated COB light source and its control system, which has the following beneficial effects: 1. The present invention achieves precise control of the brightness and color temperature of the light source by adopting a technical solution combining a multi-spectral integrated COB light source with an intelligent control module. Compared with the light source control system that uses a fixed current output in the prior art, the present invention can dynamically adjust the light source current according to environmental changes, which not only improves the adaptability of the light source, but also avoids the problem of the traditional system being unable to respond to environmental changes in real time.

[0017] 2. The present invention achieves accurate power distribution by introducing a quantum optical control unit to adjust the phase difference of light sources with different wavelengths. Compared with the existing method of simply relying on current to adjust power, the quantum optical control scheme of the present invention can optimize the energy efficiency of the light source, allowing light sources with different wavelengths to work together, significantly improving the overall efficiency of the light source.

[0018] 3. The present invention adopts a technical solution of combining a feedback control unit with PID control and fuzzy control algorithms to achieve efficient feedback regulation in complex environments. Compared with the single control method in traditional technology, the feedback mechanism of the present invention can quickly respond to changes in the environment and dynamically adjust the light source parameters, avoiding the performance instability problem caused by slow control.

[0019] 4. The present invention realizes efficient energy management in various application scenarios through adaptive adjustment mechanism and historical data prediction function. Compared with the fixed mode energy efficiency management method in the prior art, the present invention can optimize the current output according to different working conditions, reduce energy consumption to the greatest extent, and extend the service life of the light source, solving the problem that the traditional system cannot take into account both efficiency and life. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a front structural schematic diagram of the present invention; Figure 2 It is a schematic diagram of the back structure of the present invention; Figure 3 It is a schematic diagram of the main framework of the present invention. DETAILED DESCRIPTION

[0021] 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.

[0022] Please see attached Figure 1 -Attached Figure 3 An embodiment of the present invention provides a multi-spectrum integrated COB light source, including light-emitting diodes, which are light sources of different wavelengths, including ultraviolet light, blue light and red light. The light-emitting diodes are evenly arranged in a circular shape on a double-sided ceramic circuit board. The current output of the multi-spectrum integrated COB light source is adjusted by an intelligent control module. The intelligent control module adjusts the current output of the light-emitting diode according to real-time sensor data to adjust the brightness and color temperature of the light source.

[0023] The multi-spectrum integrated COB light source of this embodiment is composed of multiple light-emitting diodes (LEDs) of different wavelengths, mainly including three wavelengths of ultraviolet light, blue light and red light. In order to achieve a more efficient lighting effect, these light-emitting diodes are evenly arranged on a double-sided ceramic circuit board to form a circular arrangement. This design not only effectively improves the heat dissipation efficiency of the light-emitting diodes, but also enables the overall power output of the light source to be evenly distributed.

[0024] In actual use, the brightness and color temperature of COB light sources are very critical. In order to adapt to different lighting requirements (for example, plant growth, indoor lighting, etc.), this light source is designed with a set of intelligent control modules. The control module can adjust the current output of each LED according to the real-time collected environmental data (such as light intensity, temperature, humidity, etc.). This adjustment mechanism enables the light source to automatically adapt to environmental changes while ensuring energy saving, thereby maintaining the optimal lighting effect.

[0025] Through the intelligent control module, users can set the required brightness and color temperature through the preset control program. The module will calculate the optimal current output based on these parameters to ensure that the light-emitting diodes always remain in the best working state. This not only saves energy, but also effectively extends the service life of the LED.

[0026] Each LED emits a specific wavelength of light according to the current output provided. In our design, the wavelengths of ultraviolet light, blue light, and red light are precisely controlled within a certain range to meet different lighting requirements. For example, ultraviolet light can be used to enhance plant photosynthesis, blue light helps promote plant growth, and red light is the key to plant flowering and fruiting. Through this combination of multiple wavelengths, the present invention can provide more comprehensive and balanced lighting to adapt to a variety of different application scenarios.

[0027] The control module changes the brightness of each wavelength light source in real time by adjusting the current output of each LED. The adjustment is based on environmental feedback. For example, if the ambient light becomes dim, the control system will automatically increase the current output of the LED to keep the brightness and color temperature of the light source within the set range. The intelligent control module makes decisions based on real-time data collected by the sensor module. These sensors can capture information such as temperature, humidity and light intensity around the light source to ensure that the light source can always perform at its best in different environments.

[0028] In order to ensure the long-term stable operation of the light source, this design uses a double-sided ceramic circuit board. Ceramic materials have very high thermal conductivity, so they can effectively and quickly conduct away the heat generated by the LED when it is working, avoiding the impact of heat accumulation on the performance of the LED light source. Temperature control on the surface of the light source is crucial to extending its service life, especially when running at high power. The heat dissipation design of double-sided ceramics can ensure that the light source can still maintain low temperature operation even when working at high load for a long time, avoiding failures and shortened life due to overheating.

[0029] The present invention also provides a control system for a multi-spectrum integrated COB light source, the control system comprising: Sensor module, used to collect ambient light intensity, temperature and humidity data; A signal processing module, used to process sensor data; An optimization calculation unit, used for generating a regulation signal according to the processed data; A feedback control unit, used for adjusting the current output of the multi-spectrum integrated COB light source according to the adjustment signal; The intelligent control module includes a quantum optical control unit, which adjusts the output power of light sources of different wavelengths by adjusting the phase difference of light sources of different wavelengths.

[0030] The signal processing module includes a data preprocessing unit and a Bayesian adaptive algorithm unit. The data preprocessing unit is used to filter and normalize the sensor data. The Bayesian adaptive algorithm unit updates the probability distribution of the system state in real time according to the processed data and generates a regulation signal.

[0031] The optimization calculation unit calculates the current output of the light source according to the optimization control algorithm, and the optimization control algorithm adjusts the current based on the objective function of minimizing power consumption and meeting light color and brightness requirements.

[0032] To optimize the compute unit configuration, perform the following steps: Generate constraints based on preset light color parameters and brightness parameters; Taking minimizing the power consumption as the objective function, the optimal current value of each wavelength light source is solved by the Lagrange multiplier method.

[0033] The light source lifetime attenuation factor is introduced into the objective function, and the attenuation factor is related to the current intensity and the temperature and humidity data.

[0034] The feedback control unit includes a fuzzy control module and a PID control module. The fuzzy control module generates preliminary adjustment signals based on sensor data. The PID control module dynamically compensates the preliminary adjustment signal.

[0035] The proportional coefficient, integral time and differential time of the PID control module are adjusted using an adaptive algorithm, which is automatically adjusted according to the temperature and humidity of the actual working environment and sensor data to ensure the stability of the system and the long-term stable output of the light source.

[0036] The quantum optical control unit includes: Phase modulator, used to adjust the phase difference of light sources with different wavelengths; A quantum interference detection unit, used to monitor the interference intensity of light sources of each wavelength; The power divider adjusts the output power of each wavelength light source based on the interference intensity.

[0037] The sensor module includes: a spectral sensor configured to monitor spectral distribution of ambient light at a sampling frequency of 10 times per second; Distributed temperature sensors are evenly arranged along the edge of the double-sided ceramic circuit board; Humidity sensor, integrated inside the light source housing.

[0038] The sensor module in this embodiment is used to collect and monitor the key parameters of the environment in which the multi-spectral integrated COB light source is located, so as to provide necessary data support for subsequent signal processing and optimization calculations. The core function of the sensor module is to monitor the ambient light intensity, temperature and humidity and other data in real time, and transmit these data to the various modules of the control system. Through the feedback of these environmental parameters, the control system can dynamically adjust the current output of the light source, optimize the working efficiency and performance of the light source, and ensure that the system adapts to different working scenarios.

[0039] Generally, the sensor module can provide accurate input data to the control system by collecting light intensity, temperature and humidity data in real time, ensuring that the control system responds effectively. As an option, the sensor module can include multiple different types of sensors, such as spectral sensors, temperature and humidity sensors, etc., which work together to provide comprehensive environmental information.

[0040] In one possible implementation, the light intensity sensor is used to monitor the ambient light intensity, and the temperature and humidity sensor is used to detect the temperature and humidity around the light source. Through the output signals of the sensors, the control system can dynamically calculate the required light source power output in the current environment, and then accurately adjust the light source.

[0041] In this embodiment, the light intensity sensor is used to monitor the intensity change of the light in the environment. The sensor is generally a photodetector or a similar optical sensor, which can measure the intensity of the ambient light in real time and transmit the data to the signal processing module. Specifically, the output of the light intensity sensor can be expressed as: ; in, Represents the ambient light intensity, is the brightness of the ambient light source, For time, is the ambient temperature. This functional relationship can be modeled according to the characteristics of the light intensity sensor and provide input data for subsequent control of the system.

[0042] In some embodiments, the light intensity sensor can obtain light intensity values ​​periodically or in real time, and transmit data to the system at a certain frequency for real-time feedback. The output signal of the sensor can be transmitted to the signal processing module in the form of digital or analog signals. The specific data transmission frequency and accuracy can be set according to different application scenarios. Generally, the data acquisition frequency is several times per second to ensure real-time response.

[0043] The temperature and humidity sensor is used to monitor the temperature and humidity in the environment in order to provide the necessary environmental data for the control system. These data are crucial to ensure the stable operation and performance of the light source, especially in an environment with large changes in temperature and humidity, the role of the sensor module is particularly critical.

[0044] In some embodiments, the temperature and humidity sensor can be configured as an independent device, or integrated into the same module as the light intensity sensor. The temperature and humidity data can be expressed by the following formula: ; ; in, represents the ambient temperature, Represents the ambient humidity, and are the output signals of the temperature and humidity sensors, For time.

[0045] These temperature and humidity data provide an important reference for the current regulation of the light source. The control system can adjust the current output of the light source according to the real-time temperature and humidity data to avoid overheating or power loss of the light source due to excessive temperature. In addition, the data of the temperature and humidity sensor can also be used in the early warning system to remind users of the possible performance degradation of the light source under extreme environmental conditions.

[0046] All output signals (light intensity, temperature, humidity, etc.) of the sensor module are transmitted to the signal processing module via a data bus or other communication methods. In this embodiment, the sensor module usually uses a digital signal output method to improve the accuracy and stability of data transmission. After the signal processing module processes the received data, it is passed to the optimization calculation unit to form the final adjustment signal.

[0047] In actual implementation, the data acquisition frequency of the sensor module can be adjusted according to the specific application. For example, in scenarios requiring high-precision response, the sampling frequency can be set to more than 10 times per second to ensure that the system can quickly adapt to environmental changes. In situations where real-time requirements are not high, the sampling frequency can be appropriately reduced to reduce the burden of data processing.

[0048] The sensor module in this embodiment usually adopts an integrated design, integrating multiple sensors (such as light intensity sensors, temperature and humidity sensors) into one module. The module transmits data to the signal processing unit in the system through a bus or wireless transmission. In some embodiments, the sensor module can transmit data with the main control system through a wireless communication protocol (such as Bluetooth, Zigbee, etc.). This wireless transmission method can simplify wiring and improve the flexibility of the system, especially in situations where multiple light source control systems need to be arranged, which can effectively reduce the wiring workload.

[0049] As an option, the sensor module is not limited to light intensity and temperature and humidity sensors, but can also include other types of sensors. For example, a CO2 concentration sensor can be added. Especially in application scenarios such as plant growth where gas concentration needs to be controlled, these sensors can provide more comprehensive environmental data and further optimize the control strategy of the light source. Specifically, the sensor module can also integrate air pressure sensors, PM2.5 sensors, etc. to meet different application requirements.

[0050] In one possible implementation, the output signal of the sensor module is first digitized by an analog-to-digital converter (ADC) and then sent to the central processing unit of the system via a communication bus. The specific signal acquisition and data processing methods can be flexibly adjusted according to the type of sensor and working conditions.

[0051] In this embodiment, the signal processing module is used to receive the environmental data output by the sensor module and process the data. The processed data will be passed to the optimization calculation unit to generate the adjustment signal according to the predetermined control strategy. The main task of the signal processing module is to pre-process and further analyze the data from the light intensity, temperature and humidity sensors, and provide accurate input for other modules of the system. The design of this module can ensure the accuracy of the sensor data and effectively pass the processed signal to the subsequent processing steps.

[0052] Generally speaking, the processing of sensor data by the signal processing module includes two parts: the first step is to perform basic data processing on the sensor output signal, such as filtering, denoising and normalization; the second step is to further analyze these pre-processed data through specific algorithms to extract useful information and generate adjustment signals. The core function of the signal processing module is to ensure the stability and reliability of the input data, which directly affects the control accuracy and response speed of the entire system.

[0053] As an option, the signal processing module can use different algorithms to process sensor data. For example, the Bayesian adaptive algorithm can be used to dynamically adjust the control strategy of the system according to environmental changes, thereby improving the robustness and adaptability of the system. In some embodiments, the signal processing module can also perform weighted calculations on the temperature and humidity data to avoid excessive interference of certain sensor data on the system control.

[0054] In this embodiment, the first part of the signal processing module is to preprocess the sensor data. The main task of data preprocessing is to filter and normalize the original sensor signal. The purpose of filtering is to remove noise from the signal to ensure that the data processed by the system is clean and accurate. The normalization operation converts the data of different sensors to a unified scale so that it can be better compared and analyzed in the subsequent processing process.

[0055] In some embodiments, data preprocessing includes the following steps: Signal filtering: Use a low-pass filter or Kalman filter algorithm to remove high-frequency noise.

[0056] Data normalization: adjust the data output by the sensor in proportion so that it is within the predetermined range. The normalization formula can be expressed as: ; in, is the raw sensor data, and are the minimum and maximum values ​​of the sensor data respectively. is the normalized data.

[0057] During data preprocessing, a variety of algorithms and methods can be used, and the specific choice depends on the data characteristics of the sensor and the requirements of the system.

[0058] After completing the data preprocessing, the signal processing module will further analyze the processed data and generate an adjustment signal based on the analysis results. The adjustment signal is generated based on the data format required by the optimization calculation unit, which usually needs to be calculated based on the target control function. The optimization calculation unit may adjust the current output of the light source based on the target function such as minimizing energy consumption or maximizing light source efficiency.

[0059] In some embodiments, the signal processing module can also dynamically adjust the control system strategy through the Bayesian adaptive algorithm. Specifically, the Bayesian adaptive algorithm can use sensor data to update the probability distribution of the system state in real time and generate corresponding adjustment signals based on these distributions. The update formula of the Bayesian algorithm is as follows: ; in, represents the parameters of the control system, Represents sensor data, represents the posterior probability of the parameter given the data, is the likelihood function, is the prior distribution, as evidence.

[0060] In another possible implementation, the signal processing module can also perform weighted average calculation of the data. For example, when multiple sensors work together, the data can be weighted according to factors such as the accuracy and stability of the sensors to ensure that the control system does not generate an erroneous control signal due to abnormal data from a certain sensor. The calculation formula for the weighted average is: ; in, For the The data of the sensors, is the corresponding weight, The weighted data.

[0061] The data processed by the signal processing module will be transmitted to the optimization calculation unit through the signal transmission line for further calculation and decision-making. During the transmission process, the signal processing module can adopt the transmission mode of digital or analog signal, and the specific choice depends on the hardware requirements of the system. In some embodiments, in order to improve the stability and anti-interference ability of the system, an error detection and correction algorithm can be used in the signal transmission process to ensure the integrity and accuracy of the data.

[0062] In a possible implementation, the signal processing module can also perform dynamic feedback adjustment according to the received adjustment signal. If a deviation is detected in the system, the signal processing module can adjust certain parameters in the data processing process to ensure that the finally generated adjustment signal meets the system requirements.

[0063] As an option, the functions of the signal processing module can be expanded according to specific needs. For example, according to the changes in the actual application scenario, a specific signal processing algorithm or module can be added to the signal processing module to further improve the accuracy and efficiency of data processing. The extensibility and flexibility of the signal processing module is an important feature of this embodiment.

[0064] In some embodiments, the calculation process of the signal processing module can be implemented by an embedded system, FPGA or microprocessor to ensure high-speed, low-power processing capabilities. The selection of these computing devices can be customized according to the specific needs of the system to maximize the efficiency of the system.

[0065] In this embodiment, the main function of the optimization calculation unit is to calculate the current output signal suitable for the current environmental conditions based on the pre-processed data (such as light intensity, temperature and humidity, etc.) provided by the signal processing module. The unit adjusts the current of the COB light source in real time through the optimization algorithm to ensure that the brightness and color temperature of the light source reach the predetermined target, while taking into account the energy efficiency of the system and the life of the light source. The optimization calculation unit is one of the core parts of this control system, which directly affects the working efficiency of the light source and the stability of the control system.

[0066] In general, the optimization calculation unit optimizes the current output according to the objective function to achieve a balance between energy saving and maintaining optimal light source performance. In some embodiments, the optimization calculation unit uses an optimization control algorithm to adjust the value of the light source current output in combination with current environmental data such as light intensity, temperature and humidity. As an option, the objective function of the optimization calculation unit can be calculated based on multi-objective optimization of minimizing energy consumption, maximizing light source efficiency or extending light source life.

[0067] In a possible implementation, the optimization calculation unit calculates the optimal current output through the following steps: first, quantify the environmental variables according to the real-time data provided by the sensor module; then, derive the optimal current value through a predetermined optimization algorithm combined with the objective function.

[0068] In this embodiment, the objective function of the optimization calculation unit is mainly to optimize the current output according to the actual use requirements. Specifically, the objective function may include the following aspects: Minimize power consumption: Power consumption is an important goal in optimization calculations. In general, power consumption can be expressed by the power formula: ; in, is power, is the voltage, is the current. In the application of multi-spectral COB light sources, in order to ensure efficient use of energy, the optimization calculation unit should minimize the current output while meeting the light source brightness requirements. The objective function can be designed as: ; in, For each LED light emitting diode power, is the number of LEDs in the light source. By minimizing the total power consumption, energy efficiency can be maximized while ensuring the brightness of the light source.

[0069] Maximizing light source efficiency: Another important goal is to improve the brightness efficiency of the light source. To achieve this goal, the optimization calculation unit needs to consider the contribution of each wavelength of the light source. For example, the wavelengths of blue light, red light, and ultraviolet light contribute differently to the overall brightness and color temperature. The optimization calculation unit needs to dynamically adjust the current output of each wavelength light source according to the ambient light intensity and the set color temperature target. The efficiency function can be expressed as: ; in, is the current output of each LED, is the brightness of the light source corresponding to the wavelength, is the number of LEDs in the light source. This function ensures that each LED works in the best operating state by maximizing the light source efficacy.

[0070] Prolonging the life of the light source: In order to extend the life of the light source, the objective function should also take into account the effects of temperature and current on the life of the LED. Excessive current will cause the LED to heat up, thus shortening its life. Taking this into account, the objective function of the optimization calculation unit should include the introduction of the light source life attenuation factor. Specifically, the life of the LED can be estimated by the following formula: ; in, is the expected lifetime of the light source, is the average current output of the LED, is the ambient temperature. The relationship between the lifetime attenuation factor, current and temperature can be modeled using experimental data to ensure that the current output minimizes the attenuation of the light source.

[0071] In some embodiments, the optimization calculation unit uses an optimization algorithm such as the Lagrange multiplier method to solve the current output. The Lagrange multiplier method can find the optimal solution of the objective function under constraints. In light source control, the constraints are usually parameters such as brightness, color temperature, and light source life. Therefore, the optimization process can be expressed in the following form: ; in, is the Lagrangian function, is the Lagrange multiplier, is the target brightness.

[0072] By solving the Lagrange equation, the optimal current output of each wavelength light source can be obtained, thereby achieving optimal control of the multi-spectral light source.

[0073] In this embodiment, the optimization calculation unit calculates the optimal current output results based on the objective function, transmits these results to the feedback control unit, and generates the final adjustment signal. The adjustment signal will be transmitted to the intelligent control module to further adjust the current output of each LED. During the implementation process, the real-time computing capability of the optimization calculation unit ensures that the system can quickly adapt to environmental changes and make precise adjustments.

[0074] In some embodiments, the optimization calculation unit can also dynamically adjust the calculation process according to changes in the external environment (such as temperature increase, light changes, etc.). In this way, the optimization calculation unit can continuously optimize the energy efficiency, brightness and long-term stability of the light source of the system.

[0075] As an option, the optimization calculation unit can customize the optimization algorithm according to different application scenarios. For example, in some occasions with high efficiency requirements, the optimization calculation unit can use genetic algorithms or particle swarm optimization algorithms to further improve the accuracy and efficiency of current output. In this case, the optimization calculation process can be more flexible and adapt to more complex needs.

[0076] In addition, optimizing the computational load of computing units can improve processing speed through hardware acceleration (such as using dedicated processing units, GPUs, etc.). Especially in large-scale light source systems, this acceleration method can significantly improve the response speed of the system.

[0077] In this embodiment, the feedback control unit plays a vital role in the entire control system, and is responsible for real-time adjustment of the current output of the multi-spectrum integrated COB light source according to the adjustment signal generated by the aforementioned modules (such as the signal processing module and the optimization calculation unit). The feedback control unit not only responds to the data changes of the external sensor, but also can dynamically compensate according to the control strategy to ensure that the performance of the light source is always maintained at the optimal level. Through this real-time closed-loop control, the feedback control unit can effectively respond to changes in environmental conditions and ensure the adaptability of the brightness, color temperature and energy efficiency of the light source in various application scenarios.

[0078] Generally, the feedback control unit accurately controls the output current according to the adjustment signal from the optimization calculation unit. The control process adopts common control methods, such as PID control, fuzzy control, etc., to adjust the working state of the light source according to environmental changes. Through this feedback mechanism, the control system can automatically detect and correct the output current after each adjustment to avoid possible overshoot or lag. Specifically, the design of the feedback control unit can improve the dynamic responsiveness of the system and ensure that each working parameter can accurately and quickly respond to environmental changes.

[0079] As an option, the feedback control unit can use a PID control algorithm, which is usually composed of three parts: proportional, integral and differential, and can effectively adjust the light source current output to adapt to changing environmental requirements. In other implementations, the feedback control unit can also combine fuzzy control and adaptive algorithms to further improve the intelligence and adaptability of the system.

[0080] In this embodiment, the feedback control unit can use the classic PID control algorithm to adjust the current output of the COB light source. The PID control algorithm adjusts the control quantity (current output) by performing proportional, integral and differential operations on the error. The core idea of ​​PID control is to adjust the current output according to the error between the current state of the light source and the target state, so that the error is gradually reduced to reach the set target value.

[0081] Specifically, the output signal of the PID controller can be expressed as: ; in, is the control signal, is the current error, and are the proportional, integral and differential coefficients respectively, For time, is the integral variable. The terms in this formula correspond to the proportional term, the integral term, and the differential term, which are used to control the current error, the accumulated error, and the error change rate, respectively. In this way, PID control can respond immediately to environmental changes.

[0082] In general, the proportional term in the PID controller determines the speed of system response, the integral term helps to eliminate steady-state errors, and the differential term can predict the error trend and pre-compensate the system response appropriately. In order to ensure the stability of the system, the parameters of the PID controller are Usually it needs to be adjusted according to actual needs.

[0083] In addition to PID control, feedback control units can also use fuzzy control algorithms to handle nonlinear and complex control problems. Fuzzy control algorithms do not require precise mathematical models, but make decisions through rule reasoning and fuzzy sets. The advantage of fuzzy control is that it can adapt to changing environments, especially when sensor data is incomplete or fuzzy, it can still provide good control effects.

[0084] The basic idea of ​​fuzzy control algorithm is to map input signals (such as temperature, light intensity, etc.) to output signals (i.e. current output) by defining a set of fuzzy rules. Each fuzzy rule can be expressed in the form of "if...then...". Specifically, the workflow of fuzzy controller includes the following steps: Fuzzification: Converting input variables (such as sensor outputs) into fuzzy values.

[0085] Reasoning: Infer the control output based on fuzzy rules.

[0086] Defuzzification: Convert the inference results into actual control output signals.

[0087] In some embodiments, the fuzzy controller may be combined with an adaptive control algorithm to further enhance the system's ability to self-regulate in different environments. The goal of adaptive control is to adjust control parameters based on the real-time performance of the system in order to maintain system stability and efficiency over long periods of time.

[0088] In this embodiment, the feedback control unit generates a new current regulation signal based on the regulation signal provided by the optimization calculation unit and the environmental data collected in real time. Through the PID or fuzzy control algorithm, the feedback control unit continuously adjusts the current output of the light source to ensure that the brightness and color temperature of the light source are within the set range. The regulation signal is transmitted to the intelligent control module through the communication interface, and finally the COB light source is precisely controlled.

[0089] In some embodiments, the feedback control unit can also exchange data with other control modules through a two-way communication mechanism. For example, the feedback control unit can receive data from other light sources or systems to adjust the output of the light source according to the global environment. In addition, the feedback control unit can also perform real-time diagnosis and fault detection to ensure the safety of system operation.

[0090] Another important function of the feedback control unit is to ensure the real-time responsiveness and robustness of the system. In a dynamic environment, factors such as temperature, humidity, and light intensity are constantly changing, and the feedback control unit must be able to respond quickly and accurately. In some embodiments, the calculation speed and response time of the control unit are improved through optimization algorithms and hardware acceleration.

[0091] Specifically, the feedback control unit can ensure the system's response speed and stability to the input signal through gain adjustment and error suppression technology. For example, during the current regulation process, if the sensor data fluctuates, the feedback control unit can adjust the current output in real time according to the algorithm to avoid over-response or misalignment.

[0092] As an option, the feedback control unit can be expanded according to the needs of the actual application. For example, in a higher-precision light source control system, the feedback control unit can be combined with a machine learning algorithm to continuously optimize the control strategy through historical data to improve the system's adaptability and control accuracy. In addition, the feedback control unit can also be linked with external devices (such as temperature control systems, fan controllers, etc.) to jointly achieve precise control of the light source and the system as a whole.

[0093] In some embodiments, the feedback control unit may be integrated into the main control module of the system to reduce the number of external hardware devices and improve the integration and reliability of the system.

[0094] The intelligent control module in this embodiment is the core component of the multi-spectral integrated COB light source control system, which is responsible for receiving signals from the feedback control unit, the optimization calculation unit and the sensor module, and making decisions and adjustments based on real-time environmental data. The intelligent control module not only supports the coordination between the various modules, but also adjusts the brightness, color temperature and power output of the light source according to different environmental conditions and user needs, thereby achieving precise control of the light source. The design of the intelligent control module ensures that the system can achieve adaptive adjustment in a dynamic environment to maintain the stability, energy efficiency and long-term reliability of the light source.

[0095] Generally, the intelligent control module adjusts the current output of the light source based on the target value provided by the optimization calculation unit and the real-time collected environmental data to ensure that the light source can maintain the best working state under various changing conditions. As an option, the intelligent control module includes a quantum optical control unit, which adjusts the phase difference of light sources of different wavelengths to accurately control the power output of each wavelength light source and optimize the lighting effect of the system.

[0096] In one possible implementation, the intelligent control module not only controls the light source through direct signal transmission, but also has certain predictive capabilities. It can predict environmental changes based on historical data and algorithms, and adjust the working state of the light source in advance to improve the response speed and stability of the system.

[0097] In this embodiment, the intelligent control module includes a quantum optical control unit, which is specifically used to adjust the power output of LED light sources of different wavelengths in the multi-spectral light source. The working principle of the quantum optical control unit is based on quantum interference effect and quantum entanglement, and optimizes the power distribution by adjusting the phase difference of light sources of different wavelengths. Specifically, the quantum optical control unit can adjust the power of the light source of each wavelength by the following formula: ; in, The wavelength The corresponding light source power, is the total power of the light source, The wavelength By precisely controlling the phase difference of each wavelength, the quantum optical control unit can make the light source of each wavelength output the maximum energy at the right time, thereby improving the overall light source efficiency and lighting quality.

[0098] In some embodiments, the quantum optical control unit can also adjust the phase difference in real time based on the light intensity data of the light source, sensor feedback, and other environmental parameters to cope with environmental changes or different requirements of application scenarios.

[0099] In this embodiment, one of the cores of the intelligent control module is the adaptive adjustment mechanism. This mechanism can automatically adjust the output power and color temperature of the light source according to the real-time operating status of the light source and environmental changes. Specifically, the intelligent control module obtains the real-time data (such as ambient light intensity, temperature and humidity, etc.) provided by the sensor module and combines it with the target value generated by the optimization calculation unit to decide whether to adjust the current output of the light source.

[0100] In some embodiments, the intelligent control module can use a multi-objective optimization algorithm to adjust the working parameters of the light source in real time according to the user's set requirements (such as preset brightness, color temperature, etc.) and the information fed back by the sensor. This process can ensure that the light source always maintains the best working state under changing environmental conditions.

[0101] For example, considering the application requirements of plant growth lighting, the intelligent control module adjusts the ratio of blue light and red light in real time based on sensor data (such as light intensity, temperature, humidity, etc. around the plant) to improve plant growth efficiency. If the system detects that the temperature is too high or the humidity is too low, the intelligent control module will automatically adjust the light source output to avoid light source failure or plant growth restriction due to overheating.

[0102] To ensure the system remains stable under different conditions, the intelligent control module uses multiple control algorithms, including but not limited to rule-based fuzzy control, PID control and machine learning algorithms. These control algorithms dynamically adjust the current output of the light source by continuously analyzing input data and target parameters.

[0103] Specifically, the PID control algorithm is used to adjust the real-time response of the system to ensure that when the ambient light or temperature and humidity change, the light source can respond quickly and make appropriate adjustments. Fuzzy control is suitable for processing uncertain or fuzzy data in the system, especially when the sensor data is incomplete or noisy. The fuzzy control algorithm can infer the control signal based on fuzzy rules to ensure the stable operation of the system.

[0104] In one possible implementation, the intelligent control module can also combine machine learning technology to analyze historical data, predict future light source needs, and adjust the current output in advance. This predictive adjustment method based on historical data can further improve the response speed of the light source and reduce errors caused by environmental changes.

[0105] The intelligent control module is not just an independent module, it also closely interacts with other control system modules. For example, the adjustment signal from the feedback control unit and the target current output data provided by the optimization calculation unit will be processed by the intelligent control module and fed back to the light source. Through this closed-loop feedback mechanism, the intelligent control module can ensure that the system always operates within the set operating range and performs real-time optimization according to changes in the external environment.

[0106] In some embodiments, the intelligent control module can also interact with external devices through wireless communication technology. For example, through a mobile phone application or a computer interface, the user can view the operating status of the light source in real time and adjust parameters as needed. Through this remote control function, the intelligent control module enhances the user-friendliness and flexibility of the system.

[0107] As an option, the intelligent control module can be connected with other smart devices or Internet of Things (IoT) devices to achieve a wider range of control and management. For example, in the construction of smart cities, the intelligent control module can automatically adjust the brightness of street lights and reduce energy consumption by linking with the city lighting system; in agricultural production, the intelligent control module can automatically adjust the light source according to the light requirements of crops to maximize the growth effect of plants.

[0108] In some embodiments, the intelligent control module can also be customized according to different application scenarios (such as commercial lighting, office lighting, etc.), providing a variety of preset modes to meet the needs of different users.

[0109] 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. A multi-spectrum integrated COB light source, comprising a light emitting diode, characterized in that: The light-emitting diodes are light sources of different wavelengths, including ultraviolet light, blue light and red light. The light-emitting diodes are evenly arranged in a circular shape on a double-sided ceramic circuit board. The current output of the multi-spectrum integrated COB light source is adjusted by an intelligent control module. The intelligent control module adjusts the current output of the light-emitting diodes according to real-time sensor data to adjust the brightness and color temperature of the light source.

2. A control system for a multi-spectrum integrated COB light source, according to the multi-spectrum integrated COB light source of claim 1, characterized in that: The control system comprises: Sensor module, used to collect ambient light intensity, temperature and humidity data; A signal processing module, used for processing the sensor data; An optimization calculation unit, used for generating an adjustment signal according to the processed data; A feedback control unit, used for adjusting the current output of the multi-spectrum integrated COB light source according to the adjustment signal; The intelligent control module includes a quantum optical regulation unit, which regulates the output power of light sources of different wavelengths by regulating the phase difference of light sources of different wavelengths.

3. A control system for a multi-spectrum integrated COB light source according to claim 2, characterized in that: The signal processing module includes a data preprocessing unit and a Bayesian adaptive algorithm unit. The data preprocessing unit is used to filter and normalize the sensor data. The Bayesian adaptive algorithm unit updates the probability distribution of the system state in real time according to the processed data and generates a regulation signal.

4. The control system of a multi-spectrum integrated COB light source according to claim 2, characterized in that: The optimization calculation unit calculates the current output of the light source according to an optimization control algorithm, and the optimization control algorithm performs current regulation based on an objective function of minimizing power consumption and satisfying light color and brightness requirements.

5. The control system of a multi-spectrum integrated COB light source according to claim 2, characterized in that: The optimization computing unit is configured to perform the following steps: Generate constraints based on preset light color parameters and brightness parameters; Taking minimizing the power consumption as the objective function, the optimal current value of each wavelength light source is solved by the Lagrange multiplier method.

6. A control system for a multi-spectrum integrated COB light source according to claim 5, characterized in that: The objective function introduces a light source life attenuation factor, and the attenuation factor is associated with current intensity and temperature and humidity data.

7. The control system of a multi-spectrum integrated COB light source according to claim 2, characterized in that: The feedback control unit includes a fuzzy control module and a PID control module. The fuzzy control module generates a preliminary adjustment signal based on the sensor data, The PID control module dynamically compensates the preliminary adjustment signal.

8. The control system of a multi-spectrum integrated COB light source according to claim 7, characterized in that: The proportional coefficient, integral time and differential time of the PID control module are adjusted using an adaptive algorithm, which is automatically adjusted according to the temperature and humidity of the actual working environment and sensor data to ensure the stability of the system and the long-term stable output of the light source.

9. The control system of a multi-spectrum integrated COB light source according to claim 2, characterized in that: The quantum optical control unit comprises: Phase modulator, used to adjust the phase difference of light sources with different wavelengths; A quantum interference detection unit, used to monitor the interference intensity of light sources of each wavelength; The power divider adjusts the output power of each wavelength light source based on the interference intensity.

10. The control system of a multi-spectrum integrated COB light source according to claim 2, characterized in that: The sensor module comprises: a spectral sensor configured to monitor spectral distribution of ambient light at a sampling frequency of 10 times per second; Distributed temperature sensors are evenly arranged along the edge of the double-sided ceramic circuit board; Humidity sensor, integrated inside the light source housing.

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