Flexible condenser and photoelectric detector cooperative work control method and system

Abstract

The invention provides a flexible condenser and photoelectric detector cooperative work control method and system, and relates to the technical field of intelligent photoelectric system control, and the method comprises the steps: carrying out the initialization configuration of a flexible condenser and a photoelectric detector, presetting optical parameters, and carrying out the control of the flexible condenser and the photoelectric detector; activating a real-time optical signal acquisition module of the photoelectric detector according to a preset optical parameter to generate an initial electric signal; performing frequency domain filtering and noise suppression processing on the initial electric signal, extracting three types of characteristic parameters including illumination root-mean-square deviation, full-width-at-half-maximum spectral bandwidth and target wave band radiation flux proportion, and performing matching calculation on the characteristic parameters and a preset optimal characteristic threshold vector to obtain an optical signal state deviation value; and according to the optical signal state deviation value, iteratively correcting the deviation value through a gradient descent optimization algorithm, and generating an optical parameter correction set of the flexible condenser. The photoelectric conversion precision and efficiency can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent optoelectronic system control, in particular to a flexible concentrator and photodetector cooperative work control method and system. BACKGROUND

[0002] In today's era of rapid technological development, innovation in the fields of energy and information is crucial. With the growing demand for clean energy and the pursuit of high-performance optoelectronic devices, the cooperative work system of flexible concentrators and photodetectors has gradually become a research hotspot.

[0003] Solar energy, as a clean and abundant new energy source, is sustainable. However, due to environmental factors such as weather, atmosphere, and day-night alternation, the average solar energy available on the ground is only 250W / m2. Low energy flow density leads to high cost of solar power generation systems. Using a concentrator photovoltaic system is one of the effective ways to reduce power generation costs. By replacing part of the solar cell with a relatively low-cost concentrator, the required cell area for a given power is reduced. The requirement for large size and high precision increases the difficulty of concentrator processing and control technology. Flexible concentrators have emerged, for example, large flexible small-hole solar concentrators change the concentrator mirror rigidity function by optimizing the distribution of small holes on the elastic thin plate mirror, forming a parabolic surface by pulling the two ends of the elastic mirror relative to the traction. This concentrator has the advantages of high efficiency, light weight, and low cost. Luminescent solar concentrators (LSC) are a kind of semi-transparent photovoltaic devices that use waveguide structures to concentrate the fluorescent photons emitted by the luminescent material after absorbing sunlight at the edge of the concentrator. It is expected to improve solar energy utilization efficiency, reduce cost, and expand application range. However, existing LSC devices usually have poor structural flexibility, making it difficult to meet the needs of non-planar glass exterior walls of high-rise buildings, panoramic canopies of new energy vehicles, and other scenarios. SUMMARY

[0004] The technical problem to be solved by the present application is to provide a flexible concentrator and photodetector cooperative work control method and system that can improve the precision and efficiency of photoelectric conversion.

[0005] To solve the above technical problems, the technical solutions of the present application are as follows:

[0006] In a first aspect, a flexible concentrator and photodetector cooperative work control method is provided. The method includes the following steps: step S1: performing initialization configuration on the flexible concentrator and photodetector, presetting optical parameters, and activating the real-time optical signal acquisition module of the photodetector according to the preset optical parameters to generate an initial electrical signal;

[0007] Step S2: Perform frequency domain filtering and noise suppression processing on the initial electrical signal, extract three types of characteristic parameters of illumination root mean square deviation, full width at half maximum spectral bandwidth and target waveband radiation flux proportion, match the characteristic parameters with the preset optimal characteristic threshold vector for calculation, and obtain the light signal state deviation amount;

[0008] Step S3: According to the light signal state deviation amount, the gradient descent optimization algorithm is used to iteratively correct the deviation amount, and the optical parameter correction set of the flexible condenser is generated;

[0009] Step S4: According to the optical parameter correction set, the PID controller is used to iteratively adjust the focal length and incident angle parameters of the condenser, and the optimized light signal feature vector is obtained;

[0010] Step S5: Set the feature tolerance interval, compare the optimized light signal feature vector with the set feature tolerance interval, and generate a cooperative control enabling signal;

[0011] Step S6: According to the cooperative control enabling signal, trigger the dynamic closed-loop feedback control mechanism of the flexible condenser and the photodetector.

[0012] Further, step S1, the flexible condenser and the photodetector are initialized and configured, the optical parameters are preset, and the real-time light signal acquisition module of the photodetector is activated according to the preset optical parameters, to generate an initial electrical signal, including:

[0013] Step S11: The flexible condenser is initialized and configured, and the photodetector is initialized and configured to obtain the state of receiving light energy of the condenser;

[0014] Step S12: According to the state of obtaining light energy, activate the real-time light signal acquisition module, pass through the photoelectric conversion unit, and after digitalization by the analog-to-digital converter and noise filtering algorithm processing, generate an initial electrical signal.

[0015] Further, step S2, the initial electrical signal is subjected to frequency domain filtering and noise suppression processing, three types of characteristic parameters of illumination root mean square deviation, full width at half maximum spectral bandwidth and target waveband radiation flux proportion are extracted, the characteristic parameters are matched with the preset optimal characteristic threshold vector for calculation, and the light signal state deviation amount is obtained, including:

[0016] Step S21: According to the generated initial electrical signal, convert to the frequency domain to generate a complex frequency spectrum distribution, and perform adaptive filtering to obtain the energy distribution of the target waveband;

[0017] Step S22: According to the energy distribution of the target waveband, start feature extraction to obtain three types of characteristic parameters, match the characteristic parameters with the preset optimal threshold vector for calculation, and generate the light signal state deviation amount.

[0018] Further, step S3, according to the light signal state deviation, the gradient descent optimization algorithm iteration correction deviation, generate flexible concentrator optical parameter correction set, including:

[0019] Step S31: the light signal state deviation as the optimization target, and input the cost function construction framework of gradient descent algorithm, define the loss function;

[0020] Step S32: according to the loss function, the partial derivative of the loss function to each parameter is calculated by numerical differentiation method, so as to obtain the parameter gradient vector;

[0021] Step S33: according to the gradient vector, the iterative update is obtained, and the convergence result is obtained, and the optical parameter correction set of flexible concentrator is generated.

[0022] Further, step S4, according to the optical parameter correction set, the PID controller is iteratively adjusted to obtain the optimized light signal feature vector, including:

[0023] Step S41: according to the generated optical parameter correction set, and reading the current actual parameter value of the concentrator sensing unit feedback, the instantaneous deviation signal is calculated and corrected;

[0024] Step S42: according to the deviation signal, the three link control algorithm is carried out, the superposition generation multi-dimensional control quantity is obtained, the control quantity is input to the electromechanical execution unit of the concentrator, the focal length dynamic adjustment and the incident angle real-time calibration are carried out, so as to obtain the optimized light signal feature vector.

[0025] Further, step S5, set the feature tolerance interval, compare the optimized light signal feature vector with the set feature tolerance interval, generate the cooperative control enable signal, including:

[0026] Step S51: the optimized light signal feature vector is taken as the evaluation object, and a three-dimensional feature tolerance interval is preset, the fuzzy membership calculation is started, so as to obtain the membership vector;

[0027] Step S52: according to the minimum component value of the membership vector, the decision logic is triggered, and the cooperative enable signal is generated.

[0028] Further, step S6: according to the cooperative control enable signal, trigger the dynamic closed loop feedback control mechanism of flexible concentrator and photodetector, including:

[0029] Step S61: the cooperative control enable signal is input into the embedded control unit of the concentrator and the detector to synchronize the signal type, and the instruction is analyzed;

[0030] Step S62: according to the order analysis, the corresponding closed-loop control mechanism is activated, and according to the real-time running state of the mechanism, the key criterion is continuously collected, the state flag is obtained according to the stability verification result of the continuous five sampling periods, and the whole closed-loop control chain is completed by broadcasting to the monitoring terminal.

[0031] In a second aspect, a flexible concentrator and photodetector cooperative control system, comprising:

[0032] A generating module is configured to perform initialization configuration on the flexible concentrator and the photodetector, activate the real-time light signal acquisition module of the photodetector according to the preset optical parameters, and generate an initial electric signal.

[0033] A processing module is configured to perform frequency domain filtering and noise suppression processing on the initial electric signal, extract three types of characteristic parameters of the root mean square deviation of illumination, the full-width at half maximum spectral bandwidth and the target waveband radiation flux proportion, match and calculate the characteristic parameters with a preset optimal characteristic threshold vector, obtain a light signal state deviation amount, and iteratively correct the deviation amount through a gradient descent optimization algorithm according to the light signal state deviation amount, generate an optical parameter correction set of the flexible concentrator, iteratively adjust the focal length and incident angle parameters of the concentrator through a PID controller according to the optical parameter correction set, and obtain an optimized light signal feature vector; and perform membership comparison on the optimized light signal feature vector and a set feature tolerance interval, and generate a cooperative control enable signal.

[0034] A triggering module is configured to trigger a dynamic closed-loop feedback control mechanism of the flexible concentrator and the photodetector according to the cooperative control enable signal.

[0035] In a third aspect, a computing device, comprising:

[0036] One or more processors;

[0037] A storage device is configured to store one or more programs, when the one or more programs are executed by the one or more processors, so that the one or more processors implement the method.

[0038] In a fourth aspect, a computer readable storage medium, the computer readable storage medium stores a program, the program is executed by a processor to implement the method.

[0039] The above-mentioned scheme of the present application at least has the following beneficial effects:

[0040] The initial state of the device is ensured to be adapted through the initialization configuration, the light signal state is accurately captured in combination with the steps of frequency domain filtering and feature parameter extraction, and then the parameters are iteratively adjusted through the gradient descent optimization algorithm and the PID controller, so that the light signal can quickly reach the optimized state, greatly improving the efficiency of the cooperation of the two and reducing unnecessary debugging time; from the generation of the initial electrical signal to the dynamic closed-loop feedback control, there are detailed treatments, such as extracting three types of feature parameters and matching them with the optimal threshold vector to calculate the deviation, and according to the generated optical parameter correction set, the adjustment of the focal length and the incident angle of the light concentrator is more accurate, which effectively improves the precision of light signal detection and light concentration; through the dynamic closed-loop feedback control mechanism, the system can respond to real-time state changes continuously, and when the external environment or the state of the device itself changes, the system can be adjusted in time to ensure stable work under different working conditions and enhance the adaptability of the system to complex environments; the cooperative control mode can also reduce the energy consumption of the system, optimize the characteristics of the light signal, reduce the loss of invalid energy, and accurately control to avoid frequent and invalid operation of the device, prolong the service life of the device, and reduce the maintenance cost. BRIEF DESCRIPTION OF DRAWINGS

[0041] Figure 1 FIG. 1 is a flowchart of a flexible light concentrator and photodetector cooperative work control method according to an embodiment of the present application.

[0042] Figure 2 FIG. 2 is a schematic diagram of a flexible light concentrator and photodetector cooperative work control system according to an embodiment of the present application. DETAILED DESCRIPTION

[0043] Exemplary embodiments of the present disclosure will be described in greater detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be accurately conveyed to those skilled in the art.

[0044] As shown in Figure 1 An embodiment of the present application proposes a flexible light concentrator and photodetector cooperative work control method, which comprises the following steps:

[0045] Step S1: Perform initialization configuration on the flexible light concentrator and the photodetector, preset the optical parameters, and activate the real-time light signal acquisition module of the photodetector according to the preset optical parameters to generate an initial electrical signal;

[0046] Step S2: Perform frequency domain filtering and noise suppression processing on the initial electrical signal, extract three types of characteristic parameters: root mean square deviation of illumination, full width at half maximum spectral bandwidth, and target waveband radiation flux proportion, match the characteristic parameters with the preset optimal characteristic threshold vector to obtain the light signal state deviation quantity;

[0047] Step S3: According to the light signal state deviation quantity, the gradient descent optimization algorithm is used to iteratively correct the deviation quantity, and the optical parameter correction set of the flexible condenser is generated;

[0048] Step S4: According to the optical parameter correction set, the PID controller is used to iteratively adjust the focal length and incident angle parameters of the condenser, and the optimized light signal feature vector is obtained;

[0049] Step S5: Set the feature tolerance interval, compare the optimized light signal feature vector with the set feature tolerance interval to generate a cooperative control enabling signal;

[0050] Step S6: According to the cooperative control enabling signal, trigger the dynamic closed-loop feedback control mechanism of the flexible condenser and the photodetector.

[0051] In the embodiment of the present application, a scientific, accurate and efficient operation mechanism is provided for the cooperative work of the flexible condenser and the photodetector, which brings many benefits. Through frequency domain filtering and noise suppression processing, key characteristic parameters can be effectively extracted, greatly reducing the interference of noise on the signal, and making the initial electrical signal more pure and representative. This lays a high-quality data foundation for subsequent analysis and control, which means that the light signal collected by the photodetector can more truly reflect the actual situation and reduce the misjudgment or error caused by signal distortion.

[0052] According to the light signal state deviation quantity, the gradient descent optimization algorithm is used to generate the optical parameter correction set, which provides a clear direction for parameter adjustment. With the help of the PID controller to iteratively adjust the focal length and incident angle parameters, the condenser can quickly and accurately reach the optimal condensing state, significantly improving the condensing efficiency and precision. The flexible condenser can more efficiently converge light, improve the radiation utilization rate of the target waveband, and thus enhance the photoelectric conversion performance of the entire system.

[0053] A dynamic closed-loop feedback control mechanism is constructed to compare the optimized feature vector with the feature tolerance interval to generate a cooperative control enabling signal, ensuring that the system operates within a reasonable range. The triggered closed-loop feedback can respond to changes in the external environment or the system itself in real time, continuously adjusting the working state of the flexible condenser and the photodetector, so that the system always maintains a stable and efficient operation level. This reduces the risk of system performance degradation due to parameter drift or environmental interference, prolongs the service life of the system, and improves its adaptability and reliability in various complex scenarios.

[0054] In a specific embodiment of the present application, step S1: initialization configuration is performed on the flexible light concentrator and the photodetector, preset optical parameters are set, and the real-time optical signal acquisition module of the photodetector is activated according to the preset optical parameters to generate an initial electrical signal, including:

[0055] Step S11: The flexible light concentrator is initialized and configured, and the photodetector is initialized and configured to obtain a state of receiving light energy obtained by the light concentrator;

[0056] Step S12: According to the state of obtaining light energy, the real-time optical signal acquisition module is activated, and the initial electrical signal is generated through the photoelectric conversion unit, digitization by the analog-to-digital converter, and noise filtering algorithm processing.

[0057] In the embodiment of the present application, the two are initialized and configured, which can ensure that the flexible light concentrator and the photodetector are in a preset standard working state at the beginning of startup, so that the photodetector accurately enters the best state of receiving light energy obtained by the light concentrator, which avoids the deviation of light energy reception caused by chaotic initial state or inconsistent parameters, and guarantees the accuracy and consistency of the subsequent work of the entire system from the source, and provides a stable hardware foundation for subsequent optical signal acquisition,

[0058] After obtaining the state of light energy, the real-time optical signal acquisition module is activated, and the initial electrical signal is generated through photoelectric conversion, analog-to-digital conversion, and noise filtering algorithm processing, which further improves the quality and availability of the initial signal. The photoelectric conversion unit efficiently converts the optical signal into an electrical signal, the analog-to-digital converter realizes the digitization of the signal, which is convenient for subsequent digital processing and analysis, and the noise filtering algorithm preliminarily purifies the signal to reduce the interference components in the original signal, which makes the generated initial electrical signal more consistent with the characteristics of the actual optical signal, provides high-quality raw data for subsequent frequency domain filtering, parameter extraction, and other processing, reduces the difficulty of subsequent processing, and improves the efficiency and reliability of the entire system signal processing process.

[0059] In the specific implementation process of the present application, specifically including:

[0060] Step S11: The preset initialization configuration program is called through the special control interface, the standard working parameter file of the flexible light concentrator and the photodetector is read, including the initial light concentration angle, the curvature adjustment parameter, the heat dissipation threshold of the light concentrator, and the sensitivity level, the signal receiving frequency band, the gain coefficient and other key indicators of the photodetector, an adjustment signal is sent to the driving module of the flexible light concentrator, the driving module adjusts the physical form of the light concentrator through the micro motor and the hydraulic device, so that the curvature, the orientation and other parameters are accurately matched with the preset values, and the temperature monitoring unit of the light concentrator is started, the initial working temperature is in the best range, for the photodetector, the parameter configuration instruction is sent to the internal signal processing chip, the sensitivity of the light sensing element of the detector is calibrated, the initial gain of the signal amplification module is set, and the internal reference voltage source is activated, so that the circuit system of the detector is in a stable reference state, after the hardware adjustment is completed, an initial state check is performed, the real-time parameters of the light concentrator and the detector are collected through the feedback sensor, and are compared with the preset standard, if there is a deviation, the deviation is automatically adjusted, until both meet the preset working state requirements, and a confirmation signal that the initialization is completed is generated.

[0061] Step S12: The real-time light signal acquisition module is activated, the internal photoelectric conversion unit starts to work, the received light signal is converted into a corresponding analog electric signal through a specially designed photosensitive element, the conversion gain is automatically adjusted during the conversion process according to the intensity of the light signal, so that the amplitude of the analog electric signal is in an appropriate range, the analog electric signal is transmitted to an analog-to-digital converter, the converter performs discretization processing on the analog electric signal according to a preset sampling frequency, converts the continuous electric signal into a digital signal, and performs preliminary quantitative calibration on the digital signal to ensure the accuracy of the digital signal.

[0062] The digital signal enters the noise filtering module, the module uses an adaptive filtering algorithm to analyze the noise characteristics in the digital signal, identifies common power frequency interference, random noise and the like, and performs targeted filtering processing to remove or weaken the noise components and retain the effective signals. The initial electric signal generated after the above processing is temporarily stored in the cache unit, and a state confirmation signal is sent, indicating that the initial electric signal is ready.

[0063] In a specific embodiment of the application, step S2: the initial electric signal is subjected to frequency domain filtering and noise suppression processing, three types of characteristic parameters, including the root mean square deviation of illumination, the full-width half-maximum spectral bandwidth and the target waveband radiation flux proportion, are extracted, the characteristic parameters are matched with a preset optimal characteristic threshold vector, and the light signal state deviation is obtained, including:

[0064] Step S21: According to the generated initial electric signal, the initial electric signal is converted to the frequency domain to generate a complex frequency spectrum distribution, and adaptive filtering is performed to obtain the energy distribution of the target waveband.

[0065] Step S22: According to the energy distribution of the target wave band, start feature extraction to obtain three types of feature parameters, match the feature parameters with the preset optimal threshold vector, and generate the light signal state deviation quantity.

[0066] In the embodiment of the application, the initial electrical signal is converted to the frequency domain and adaptive filtering is performed, which brings many key benefits to the entire optical signal processing system. The energy of the target wave band and various types of interference noise can be more accurately separated, and the signal-to-noise ratio of the signal is further improved. The processing method in the frequency domain can more targetedly retain the characteristics of the target signal compared with pure time domain filtering, and lays a high-quality foundation for subsequent feature extraction, effectively avoiding the interference of noise on the extraction of key parameters.

[0067] The three types of feature parameters of the extracted root mean square deviation of illumination, full-width-at-half-maximum spectral bandwidth, and target wave band radiation flux proportion comprehensively reflect the intensity stability, spectral distribution characteristics, and effective energy proportion of the optical signal, and provide a quantitative basis for evaluating the quality of the optical signal. The light signal state deviation quantity obtained by matching the feature parameters with the preset optimal feature threshold vector clearly indicates the difference between the current signal and the ideal state.

[0068] The processing process realizes complete analysis of the optical signal from raw data to feature quantization and then to deviation evaluation, forming a closed-loop signal quality monitoring mechanism. Not only does it improve the perceptual sensitivity of the system to changes in the optical signal, but also enhances the adaptive adjustment capability of the system, so that the system can still stably and reliably output the required signal results when facing complex and variable lighting environments.

[0069] In the specific implementation process of the application, it specifically includes:

[0070] Step S21: Call the signal conversion module, import the initial electrical signal stored in the cache unit into the frequency domain conversion algorithm, convert the electrical signal in the time domain into a frequency domain signal through discrete Fourier transform, generate a complex frequency spectrum distribution containing amplitude and phase information, and the signal is presented in the form of energy distribution of different frequency components. The adaptive filtering module is started. The module first scans and analyzes the generated frequency spectrum distribution, identifies the target wave band range and the frequency intervals corresponding to various types of noise, such as the frequency bands occupied by ambient light interference, circuit thermal noise, etc. The filtering algorithm dynamically adjusts the filtering parameters according to the characteristics of the target wave band, attenuates and suppresses the frequency components in the frequency spectrum distribution that do not belong to the target wave band, and retains the energy components within the target wave band. After multiple rounds of iterative optimization, the pure target wave band energy distribution is obtained and stored in a dedicated frequency spectrum database.

[0071] Step S22: the feature extraction module is activated, the energy distribution data of the target wave band is called from the spectrum database, for the parameter of the root mean square deviation of illumination, the root mean square of the average value of the square of the deviation of the illumination value at each time in the target wave band is calculated, to reflect the fluctuation degree of the illumination, for the full width at half maximum spectral bandwidth, the two frequency points corresponding to the peak value in the target wave band energy distribution curve are identified, the difference between the two points is calculated to obtain the spectral bandwidth, and the target wave band radiant flux proportion is obtained by calculating the ratio of the total energy in the target wave band to the total energy in the whole spectral range, three kinds of feature parameters are obtained, the matching calculation module is called, the vector composed of the feature parameters is compared with the preset optimal feature threshold vector, the deviation degree of each parameter is quantified by calculating the Euclidean distance or cosine similarity between them, and finally the deviation degree is integrated and processed to generate a comprehensive optical signal state deviation, and is transmitted to the control center of the system.

[0072] In a specific embodiment of the application, step S3: according to the optical signal state deviation, the optical parameter correction set of the flexible concentrator is generated by iterative correction of the deviation through gradient descent optimization algorithm, including:

[0073] Step S31: taking the optical signal state deviation as the optimization target, and inputting the cost function construction framework of the gradient descent algorithm to define the loss function;

[0074] Step S32: according to the loss function, the partial derivative of the loss function to each parameter is calculated by numerical differentiation method to obtain the parameter gradient vector;

[0075] Step S33: according to the gradient vector, the iterative update is carried out to obtain the convergence result, and the optical parameter correction set of the flexible concentrator is generated.

[0076] In the embodiment of the application, the optical signal state deviation is taken as the optimization target and the loss function is constructed, which can convert the abstract signal deviation into quantifiable and optimized mathematical indicators, provides a clear direction and measurement standard for subsequent parameter correction, ensures that the correction process is always around the core goal of reducing signal deviation, and avoids blind adjustment;

[0077] The partial derivative of the loss function to each parameter is calculated by numerical differentiation method to obtain the parameter gradient vector, which can accurately capture the influence degree and change trend of each optical parameter on the signal deviation, and can clearly know the amplitude and direction of each parameter to be adjusted, provides a scientific basis for subsequent iterative update, greatly improves the pertinence and efficiency of parameter correction, and avoids resource waste and time consumption caused by traditional trial and error method;

[0078] According to the gradient vector, the iterative update is performed and the convergence result is obtained, the optical parameter correction set of the flexible light concentrator is generated, the optical parameters can be gradually approached to the optimal value through continuous fine tuning, the minimization of the light signal state deviation amount is realized, which not only ensures that the flexible light concentrator is always in the best working state, improves the precision of light signal collection and conversion, but also enhances the adaptability to environmental changes, and ensures stable and efficient operation under complex working conditions.

[0079] In the specific implementation process of the present application, specifically includes:

[0080] Step S31: The generated light signal state deviation amount is called from the control center, which is set as the core optimization target of the gradient descent optimization algorithm, and the purpose of parameter correction is to minimize the deviation amount, and the cost function construction framework is started, and the preset program will define the loss function in the framework according to the actual operation demand, the function takes the light signal state deviation amount as the core variable, and the size of the deviation amount is converted into a calculable loss value through a mathematical expression, the larger the loss value is, the more serious the deviation of the current light signal state from the ideal state is, and the framework will automatically associate the optical parameters of the flexible light concentrator as the independent variables of the loss function, so that the loss value can be dynamically adjusted with the change of these parameters.

[0081] Step S32: The initial values of the optical parameters of the current flexible light concentrator are obtained, and are substituted into the loss function to obtain the initial loss value, and the numerical differentiation method module is activated, the module will make a small disturbance to each optical parameter, calculate the difference value of the loss function before and after the parameter disturbance respectively, and obtain the approximate partial derivative of the loss function with respect to the parameter by dividing the difference value by the disturbance value of the parameter. The partial derivative reflects the change amplitude and direction of the loss value when the parameter changes by one unit, and the partial derivatives of the loss function with respect to all optical parameters are calculated in the same way, and the partial derivatives are integrated to form a parameter gradient vector, each element in the vector corresponds to the influence degree of an optical parameter on the loss function, which provides accurate quantitative guidance for parameter adjustment.

[0082] Step S33: Set the learning rate of iteration, the learning rate is used to control the amplitude of each parameter adjustment, to avoid system oscillation caused by excessive adjustment or slow convergence caused by too small adjustment, according to the direction of the gradient vector, according to the principle of "adjusting the parameter along the gradient descent direction can reduce the loss value", the optical parameters of the flexible light concentrator are updated, the parameter value is subtracted by the product of the learning rate and the gradient value corresponding to the parameter, one parameter update is completed, the loss function value is recalculated, and it is judged whether the loss value is less than the preset convergence threshold value, or the loss value change amount of adjacent two iterations is negligible. If the convergence condition is not met, the above parameter update process will be repeated; if the convergence condition is met, the iteration will be stopped, and the obtained optical parameter combination is the optical parameter correction set of the flexible light concentrator, which can be used to guide the actual parameter adjustment of the light concentrator.

[0083] In a specific embodiment of the present application, step S4: according to the optical parameter correction set, the focal length and incident angle parameters of the condenser are iteratively adjusted by the PID controller to obtain the optimized light signal feature vector, comprising:

[0084] Step S41: according to the generated optical parameter correction set, and reading the current actual parameter value fed back by the condenser sensing unit, the instantaneous deviation signal from the correction target is calculated;

[0085] Step S42: according to the deviation signal, a three-element control algorithm is performed to obtain a superimposed generated multi-dimensional control quantity, which is input to the electromechanical execution unit of the condenser for dynamic adjustment of the focal length and real-time calibration of the incident angle to obtain the optimized light signal feature vector.

[0086] In the embodiment of the present application, by comparing the optical parameter correction set with the current actual parameter value fed back by the condenser sensing unit, the instantaneous deviation signal between the two can be captured in real time. This precise deviation sensing ensures the pertinence of subsequent adjustment and avoids adjustment failure caused by parameter lag or misjudgment, providing a reliable starting point for the entire adjustment process.

[0087] The three-element control algorithm adopted has strong dynamic adjustment capability: the proportional element can quickly respond to the instantaneous deviation to achieve preliminary parameter correction; the integral element can gradually eliminate accumulated errors to ensure stability in long-term operation; the derivative element can predict the deviation trend to adjust in advance to suppress overshoot. The multi-dimensional control quantity generated by the superposition of the three can balance the adjustment speed and accuracy, and after input to the electromechanical execution unit, it can realize dynamic adjustment of the focal length and real-time calibration of the incident angle of the condenser, making the light signal feature continuously approach the optimal direction.

[0088] Through the iterative adjustment of the PID controller, the light signal feature vector can be continuously optimized, not only improving the stability and effectiveness of the light signal, but also enhancing the adaptability of the condenser to environmental changes. No matter how the external light conditions fluctuate, the high-quality features of the light signal can be maintained through rapid and accurate parameter adjustment, providing high-quality input for subsequent signal processing and application, and further ensuring the efficient and stable operation of the entire system.

[0089] In a specific embodiment of the present application,

[0090] Step S41: Extract the generated flexible condenser optical parameter correction set from the storage unit, which contains the target values of parameters such as focal length and incident angle. The sensing unit on the condenser collects the actual parameter values of the current condenser in real time, including the current focal length, light incident angle, etc., and feeds back the actual parameter values to the control system. The control system starts the deviation calculation module, compares each parameter target value in the correction set with the actual parameter values fed back by the sensing unit one by one, and obtains the instantaneous deviation signal corresponding to each parameter through the difference between the two. For example, if the correction set requires a focal length of 50 cm, and the current actual focal length is 48 cm, the instantaneous deviation signal of this parameter is 2 cm. The deviation signals are collected and arranged to form a complete deviation signal set.

[0091] Step S42: The three-loop control algorithm of the PID controller starts to run, and the instantaneous deviation signal of each parameter is processed respectively. The proportional link generates a control component proportional to the deviation according to the preset proportional coefficient, the larger the deviation, the stronger the adjustment of the control component, which is used to quickly reduce the deviation. The integral link accumulates the deviation signal and generates a control component according to the accumulated deviation, which is used to eliminate the steady-state error generated in the system running process and keep the parameter stable around the target value for a long time. The derivative link analyzes the change rate of the deviation signal to predict the development trend of the deviation in advance and generates a corresponding control component to suppress the overshoot in the parameter adjustment process and make the adjustment process more stable. The control components generated by the three links are superimposed to form multi-dimensional control quantities, each control quantity corresponding to a parameter of the condenser. The multi-dimensional control quantities are transmitted to the electromechanical execution unit of the condenser, and the execution unit drives the mechanical structure according to the control quantity: for the focal length, the relative position of the condenser lens is adjusted to realize dynamic adjustment; for the incident angle, the whole angle of the condenser is rotated to realize real-time calibration. The sensing unit continuously feeds back the parameter changes, and the PID controller iteratively adjusts the control quantity according to the new deviation signal until the light signal feature vector reaches the optimal state.

[0092] In a specific embodiment of the present application, step S5: set the feature tolerance interval, compare the optimized light signal feature vector with the set feature tolerance interval to generate a cooperative control enable signal, including:

[0093] Step S51: Take the optimized light signal feature vector as the evaluation object, and preset a three-dimensional feature tolerance interval. Start the fuzzy membership calculation to obtain a membership vector.

[0094] Step S52: Trigger the decision logic according to the minimum component value of the membership vector to generate a cooperative enable signal.

[0095] In the embodiment of the present application, the optimized light signal feature vector is taken as the evaluation object, and the preset three-dimensional feature tolerance interval is combined to perform fuzzy membership calculation, so that whether the current light signal feature is in the acceptable range can be more flexibly and comprehensively judged, the fuzzy membership calculation breaks through the traditional all-or-nothing judgment mode, and through quantifying the fitting degree of the feature vector and the tolerance interval, a more fine and more practical basis is provided for system state evaluation, the situation of misjudging the system state due to slight fluctuation is avoided, and the robustness of evaluation is enhanced.

[0096] The decision logic is triggered according to the minimum component value of the membership vector, and a cooperative enabling signal is generated, so that the weakest link or the feature dimension with the most serious deviation can be accurately captured, and the pertinence and effectiveness of the decision are ensured, according to the decision mode of the key indicators, the part that needs to be adjusted most can be responded preferentially, and then a cooperative enabling signal for coordinating the work of each module is generated, the efficient cooperation between the flexible concentrator, the photodetector and other components is promoted, the conflicts or resource waste caused by the independent adjustment of each module are avoided, and the overall cooperative work efficiency and stability are improved.

[0097] A closed-loop mechanism from feature evaluation to cooperative control is formed, the working strategy can be dynamically adjusted according to the real-time light signal feature, and the optimal running state can be continuously maintained, which not only improves the adaptability of the system to complex environmental changes, but also provides a reliable guarantee for the subsequent long-term stable operation, and ensures that the collection, processing and conversion of the light signal always maintain a high quality level.

[0098] In a specific embodiment of the present application,

[0099] Step S51: The optimized light signal feature vector is retrieved from the obtained result, the vector contains the specific values of three types of feature parameters, including the root mean square deviation of illumination, the full width at half maximum spectral bandwidth and the target waveband radiation flux proportion, and is determined as the core object of this evaluation, the preset three-dimensional feature tolerance interval parameters are called, the interval is set according to the optimal state data of the long-term running of the system, each dimension corresponds to the normal fluctuation range of the three types of feature parameters, the fuzzy membership calculation module is started, the module calculates the degree of membership of each parameter value in the feature vector to the corresponding tolerance interval through a specific membership function, for example, if the parameter value is exactly at the center position of the tolerance interval, the membership value is 1; if it is close to the interval boundary, the membership value is less than 1; if it is completely out of the interval, the membership value is 0, after calculation, a membership vector composed of three membership values is obtained, each value directly reflects the fitting degree of the corresponding feature parameter and the tolerance interval, and the vector is temporarily stored for subsequent decision-making use.

[0100] Step S52: comparing the three component values in the membership vector, screening out the minimum component value among them, representing the lowest degree of fit with the tolerance interval in the three types of characteristic parameters, the current most likely to exist deviation link, the decision logic module is activated, the module presets the processing strategy corresponding to different minimum component values: if the minimum component value is greater than or equal to the preset threshold, it indicates that all characteristic parameters are in the ideal tolerance range, and the cooperative enabling signal of "maintaining the current state" is generated; if the minimum component value is less than the threshold but still greater than 0, it indicates that part of the parameters is close to the boundary of the tolerance interval, and the cooperative enabling signal of "fine tuning optimization" is generated, triggering the relevant module to make small adjustments; if the minimum component value is 0, it means that at least one parameter completely exceeds the tolerance interval, and the cooperative enabling signal of "emergency correction" is generated, forcing to start a new round of parameter adjustment process, and the generated cooperative enabling signal will be sent to each execution module of the system to guide its corresponding operation, ensuring that the system continues to be in a stable running state.

[0101] In a specific embodiment of the present application, step S6: according to the cooperative control enabling signal, triggering the dynamic closed-loop feedback control mechanism of the flexible concentrator and the photodetector, comprising:

[0102] Step S61: inputting the cooperative control enabling signal into the embedded control unit of the concentrator and the detector to synchronously analyze the signal type, and performing instruction analysis;

[0103] Step S62: according to the instruction analysis, activating the corresponding closed-loop control mechanism, and continuously collecting key criteria according to the real-time running state of the mechanism, obtaining a state flag according to the stability verification results of the continuous five sampling periods, and broadcasting to the monitoring terminal to complete the full closed-loop control chain.

[0104] In the embodiment of the present application, the cooperative control enabling signal is input into the embedded control unit for synchronous analysis, ensuring that the flexible concentrator and the photodetector can understand the type and requirements of the signal instruction at the same time, avoiding the cooperation deviation caused by inconsistent instruction interpretation, laying a foundation for subsequent cooperative action, ensuring efficient communication and unified execution of control instructions, and improving the consistency of responses of system components;

[0105] According to the instruction analysis results, the corresponding closed-loop control mechanism is activated, and through continuously collecting key criteria and performing stability verification of the continuous five sampling periods, it can accurately judge whether the system reaches a stable running state, the activation of the closed-loop control mechanism continuously adjusts the working state of the concentrator and the detector according to real-time feedback, forming a virtuous cycle of dynamic adjustment, effectively dealing with the influence of external environmental changes or internal parameter drift, and the stability verification of multiple sampling periods further ensures the reliability of the system state, avoiding misjudgment caused by instantaneous fluctuations, and providing a solid guarantee for long-term stable operation of the system;

[0106] The operation of broadcasting the state flag to the monitoring terminal realizes visual management of the system running state, facilitates the operation personnel to master the system dynamics in real time, discovers and handles potential problems in time, implements a full closed-loop control chain from receiving instructions to confirming the state, not only enhances the adaptive adjustment capability and running stability of the system, but also improves the monitorability and maintainability of the system, and provides comprehensive support for efficient and reliable operation of the system.

[0107] In a specific embodiment of the present application,

[0108] Step S61: The cooperative control enabling signal is sent to the embedded control units of the flexible concentrator and the photodetector respectively, it is ensured that the two units receive the signal at the same time, the two control units start the synchronous analysis program, the encoding format and the instruction type of the signal are identified and interpreted, in the analysis process, the control unit will keep the analysis progress consistent through the internal clock synchronization mechanism, avoid the deviation of understanding the instruction caused by the difference of analysis speed, after the analysis is completed, the control unit will generate the instruction confirmation information, indicating that the control requirements conveyed by the signal have been accurately understood.

[0109] Step S62: The embedded control units of the flexible concentrator and the photodetector activate the corresponding closed-loop control mechanism according to the analyzed instruction type, if the instruction is "maintain the current state", the state keeping mechanism is started to keep the existing working parameters unchanged, if it is "fine tuning optimization", the parameter fine tuning mechanism is activated to adjust the light focusing angle and the detection sensitivity in a small range according to the preset adjustment rule, if it is "emergency correction", the comprehensive correction mechanism is started to reset the system by calling the initial configuration parameters, in the mechanism running process, the control unit will continuously collect key criteria through sensors, such as the real-time focal length of the concentrator and the signal receiving strength of the detector, and record the values of each sampling period, when five sampling period data are continuously collected, stability analysis is performed on these data, if the data fluctuation amplitude is within the preset stability threshold range, it is determined that the system reaches a stable state, and a "normal operation" state flag is generated, if there is a fluctuation exceeding the threshold, a "further adjustment is needed" state flag is generated, the control unit broadcasts the state flag to the monitoring terminal through the communication module, the terminal displays the current state of the system after receiving, and the whole closed-loop control chain is completed.

[0110] As Figure 2 shown, the embodiment of the present application also provides a flexible concentrator and photodetector cooperative work control system, comprising:

[0111] The generating module 21 is used for performing initialization configuration on the flexible concentrator and the photodetector, presetting optical parameters, and activating the real-time optical signal acquisition module of the photodetector according to the preset optical parameters to generate an initial electrical signal.

[0112] The processing module 22 is used for performing frequency domain filtering and noise suppression processing on the initial electrical signal, extracting three types of characteristic parameters of illumination root mean square deviation, full width at half maximum spectral bandwidth and target waveband radiation flux proportion, matching and calculating the characteristic parameters with a preset optimal characteristic threshold vector to obtain a light signal state deviation amount; according to the light signal state deviation amount, the gradient descent optimization algorithm is used for iterative correction of the deviation amount to generate an optical parameter correction set of the flexible light concentrator; according to the optical parameter correction set, the PID controller is used for iterative adjustment of the focal length and incident angle parameters of the light concentrator to obtain an optimized light signal characteristic vector; a characteristic tolerance interval is set, the optimized light signal characteristic vector is compared with the set characteristic tolerance interval in membership to generate a cooperative control enabling signal;

[0113] The processing module 22 is used for triggering a dynamic closed-loop feedback control mechanism of the flexible light concentrator and the photodetector according to the cooperative control enabling signal.

[0114] The above is the preferred embodiment of the present application. It should be noted that for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, which should also be considered within the scope of protection of the present application.

Claims

1. A method for controlling a flexible concentrator in cooperation with a photodetector, the method comprising: receiving a signal from the photodetector; and adjusting a concentration ratio of the flexible concentrator based on the signal. The method comprises: Step S1: performing initialization configuration on the flexible condenser and the photodetector, presetting optical parameters, and activating a real-time optical signal acquisition module of the photodetector according to the preset optical parameters to generate an initial electric signal; Step S2: performing frequency domain filtering and noise suppression processing on the initial electric signal, extracting three types of characteristic parameters of illumination root mean square deviation, full width at half maximum spectral bandwidth and target waveband radiant flux proportion, matching and calculating the characteristic parameters with a preset optimal characteristic threshold vector to obtain an optical signal state deviation amount; Step S3: according to the optical signal state deviation amount, iteratively correcting the deviation amount by a gradient descent optimization algorithm to generate an optical parameter correction set of the flexible condenser; Step S4: according to the optical parameter correction set, iteratively adjusting the condenser focal length and incident angle parameters by a PID controller to obtain an optimized optical signal characteristic vector; Step S5: setting a characteristic tolerance interval, comparing the optimized optical signal characteristic vector with the set characteristic tolerance interval to generate a cooperative control enabling signal; Step S6: according to the cooperative control enabling signal, triggering a dynamic closed-loop feedback control mechanism of the flexible condenser and the photodetector.

2. The method of claim 1, wherein the flexible concentrator is used in conjunction with a photodetector. Step S1, performing initialization configuration on the flexible condenser and the photodetector, presetting optical parameters, and activating a real-time optical signal acquisition module of the photodetector according to the preset optical parameters to generate an initial electric signal, comprising: Step S11: performing initialization configuration on the flexible condenser and initialization configuration on the photodetector to obtain a state of receiving light energy of the condenser; Step S12: according to the state of receiving light energy, activating the real-time optical signal acquisition module, passing through a photoelectric conversion unit, and being digitized and processed by a noise filtering algorithm through an analog-to-digital converter to generate an initial electric signal.

3. The method of claim 2, wherein the flexible concentrator is used in conjunction with a photodetector. Step S2, performing frequency domain filtering and noise suppression processing on the initial electric signal, extracting three types of characteristic parameters of illumination root mean square deviation, full width at half maximum spectral bandwidth and target waveband radiant flux proportion, matching and calculating the characteristic parameters with a preset optimal characteristic threshold vector to obtain an optical signal state deviation amount; comprising: Step S21: according to the generated initial electric signal, converting to generate a complex frequency spectrum distribution, and performing adaptive filtering to obtain an energy distribution of the target waveband; Step S22: according to the energy distribution of the target waveband, starting feature extraction to obtain three types of characteristic parameters, matching and calculating the characteristic parameters with a preset optimal threshold vector to generate an optical signal state deviation amount.

4. The method of claim 3, wherein the flexible concentrator is used in cooperation with a photodetector. Step S3, according to the optical signal state deviation amount, iteratively correcting the deviation amount by a gradient descent optimization algorithm to generate an optical parameter correction set of the flexible condenser, comprising: Step S31: taking the optical signal state deviation amount as an optimization target, and inputting a cost function construction framework of the gradient descent algorithm to define a loss function; Step S32: according to the loss function, calculating the partial derivative of the loss function with respect to each parameter to obtain a parameter gradient vector; Step S33: iteratively updating the gradient vector to obtain a convergence result to generate an optical parameter correction set of the flexible condenser.

5. The method of claim 4, wherein the flexible concentrator is used in conjunction with a photodetector. Step S4, according to the optical parameter correction set, the focus of the concentrator and the incident angle parameter are iteratively adjusted by the PID controller to obtain the optimized light signal feature vector, including: Step S41: according to the generated optical parameter correction set, and reading the current actual parameter value fed back by the concentrator sensing unit, the instantaneous deviation signal from the correction target is calculated; Step S42: according to the deviation signal, a three-link control algorithm is performed to obtain a superimposed generated multi-dimensional control quantity, the control quantity is input to the electromechanical execution unit of the concentrator, and dynamic adjustment of the focal length and real-time calibration of the incident angle are performed to obtain the optimized light signal feature vector.

6. The method of claim 5, wherein the flexible concentrator is used in conjunction with a photodetector. Step S5, set the feature tolerance interval, compare the optimized light signal feature vector with the set feature tolerance interval, generate a cooperative control enable signal, including: Step S51: take the optimized light signal feature vector as the evaluation object, and pre-set a three-dimensional feature tolerance interval, start fuzzy membership calculation to obtain a membership vector; Step S52: according to the minimum component value of the membership vector, trigger the decision logic to generate a cooperative enable signal.

7. The method of claim 6, wherein the flexible concentrator is used in conjunction with a photodetector. Step S6: according to the cooperative control enable signal, trigger the dynamic closed-loop feedback control mechanism of the flexible concentrator and the photodetector, including: Step S61: input the cooperative control enable signal into the embedded control unit of the concentrator and the detector to synchronously analyze the signal type, perform instruction analysis; Step S62: according to the instruction analysis, activate the corresponding closed-loop control mechanism, and continuously collect key criteria according to the real-time running state of the mechanism, obtain a state flag according to the stability verification results of the continuous five sampling periods, and broadcast to the monitoring terminal to complete the full closed-loop control chain.

8. A flexible concentrator and photodetector cooperative control system, the system implementing the method of any one of claims 1 to 7, characterized in that, including: A generation module for performing initialization configuration on the flexible concentrator and the photodetector, pre-setting optical parameters, and activating a real-time light signal acquisition module of the photodetector according to the pre-set optical parameters to generate an initial electric signal; A processing module for performing frequency domain filtering and noise suppression processing on the initial electric signal, extracting three types of feature parameters of illumination root mean square deviation, full width at half maximum spectral bandwidth, and target waveband radiant flux proportion, matching the feature parameters with a pre-set optimal feature threshold vector to obtain a light signal state deviation; According to the light signal state deviation, the gradient descent optimization algorithm is used to iteratively correct the deviation, and the optical parameter correction set of the flexible concentrator is generated; according to the optical parameter correction set, the focus of the concentrator and the incident angle parameter are iteratively adjusted by the PID controller to obtain the optimized light signal feature vector; Set the feature tolerance interval, compare the optimized light signal feature vector with the set feature tolerance interval, generate a cooperative control enable signal; A trigger module for triggering the dynamic closed-loop feedback control mechanism of the flexible concentrator and the photodetector according to the cooperative control enable signal.

9. A computing device, comprising: including: One or more processors; A storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, so that the one or more processors implement the method of any one of claims 1 to 7.

10. A computer readable storage medium characterized by, The computer readable storage medium stores a program, and the program is executed by the processor to implement the method in any one of claims 1 to 7.

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